2798 Rabbitmq Jobs - Page 19

As a partner to businesses and governments, Crane Authentication offers expertise and cutting-edge innovations that protect and enhance products, secure identities, safeguard revenues and enforce compliance. Customers from different business sectors and levels of government trust our team of 1,250 people for their expertise in R&D, security design, engineering and data-driven insights. We are an integral part of Crane NXT , a c$2 billion dollar business with over 5,000 associates As part of our growth we are looking for a Senior Software Engineer in Gurugram, India where you will be part of a global authentication team fighting fraud and piracy! Role Summary: As a Senior Software Engineer, you will form part of a cross-functional, multi-disciplinary Agile product team for one of our key products. We are passionate about writing good quality, highly testable, user-driven software. What’s most important is a solid understanding of Engineering principles and practices and a desire to learn. KEY ACCOUNTABILITY Collaborate and review requirements proposed by the Product Owner / Business Analyst to understand, document, estimate, design, implement, and unit test viable software solutions Design and implement services and APIs supporting applications using microservice architecture for application development or data services Develop solid, scalable information systems that support the continuously evolving needs of our clients and internal operational teams Ensure that information systems scale and support new features for delivery Modify existing software to fix bugs, adapt to new requirements and improve performance Maintain code quality, test coverage and code reviews following standard guidelines Collaborate with multi-disciplinary team members to ensure timely delivery of commitments. Continuously drive improvement with yourself, the team and the department through ways of working with more agility and introducing new technologies. Promote knowledge sharing across the team and department, ensuring that we work as closely and effectively as possible. Act as point of contact for escalations and crucial stakeholder requests. Skills & Knowledge: Demonstrated ability to deliver high-quality, enterprise-class software on-time and of high quality Good knowledgeable in the software development lifecycle Working knowledge of source control systems like Git Experience working in Agile-oriented teams, especially SCRUM or Kanban Possess good communication skills in English, both written and verbal (for non-English speaking countries) Very strong problem-solving skills and algorithm knowledge Good technical skills with knowledge of solution design and application architecture Experience: Programming framework/language: Java 8 and higher, Spring Boot. Databases: Any SQL DB and MongoDB. Experience using and developing Restful APIs. Experience with AWS SQS, Elastic search service, EC2, RDS, S3, ELB, CloudWatch. Experience with messaging and streaming platforms (RabbitMQ), cloud computing (ideally AWS) and experience with caching technologies (Memcached, Redis, ElastiCache). Experience in automating build deployments, Continuous Integration and Continuous Delivery. Experience with client-side (browser) web application development (Vanilla JavaScript, JQuery, KnockoutJS, Angular or React). Qualification: Bachelor’s degree in Computer Sciences or equivalent degree 4+ years of experience working as a software engineer developing commercial software Experience using collaborative tools such as: Slack, Microsoft Teams, and Jira To ensure full participation in the performance development review (PDR) process and maintain an up-to-date record of all training and development activities/programs To always act and behave in a way compliant with all Crane Authentication’s company guidelines and policies, especially those relating to values and behaviours, environmental health and safety, ethics and codes of conduct, as it is through living our values that we strengthen the culture of our business and demonstrate our understanding of our Code of Business Principles. Further information on our company values can be found in our “Living the Values” guidelines. WHAT’S IN IT FOR YOU? Work for a market leading, established product company. Nice modern offices with great facilities. Health Insurance. 24 days holidays plus national holidays. Life Insurance. Crane Authentication is part of Crane NXT Crane NXT is a premier industrial technology company that provides proprietary and trusted technology solutions to secure, detect, and authenticate what matters most to its customers. Crane NXT has approximately 5,000 employees with global operations and manufacturing facilities in the United States, the United Kingdom, Mexico, Japan, Switzerland, Germany, Sweden, and Malta. For more information, visit www.cranenxt.com. We value diversity at our company. Everyone who applies with the qualifications will receive consideration for employment without regard to: age, colour, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by law. We receive a high number of applications, so apologies if we are unable to provide specific feedback. If we feel you are a fit for the role, we’ll be in contact.

As passionate about our people as we are about our mission. What Were All About : Q2 is proud of delivering our mobile banking platform and technology solutions, globally, to more than 22 million end users across our 1,300 financial institutions and fintech clients. At Q2, our mission is simple: Build strong, diverse communities by strengthening their financial institutions. We accomplish that by investing in the communities where both our customers and employees serve and live. What Makes Q2 Special? Being as passionate about our people as we are about our mission. We celebrate our employees in many ways, including our Circle of Awesomeness award ceremony and day of employee celebration among others! We invest in the growth and development of our team members through ongoing learning opportunities, mentorship programs, internal mobility, and meaningful leadership relationships. We also know that nothing builds trust and collaboration like having fun. We hold an annual Dodgeball for Charity event at our Q2 Stadium in Austin, inviting other local companies to play, and community organizations we support to raise money and awareness together. RESPONSIBILITIES: Design, implement, integrate, and test software solutions of moderate complexity comprised of Windows- and Linux-based front-end and back-end components that interact with end users and integrate with internal and external services Work individually and collaboratively to deliver solutions in live production systems Support, maintain, and resolve problems for custom features in live production systems, with occasional on-call availability Responsible for ensuring that all security, availability, confidentiality and privacy policies and controls are adhered to Assist and mentor teammates to provide technical leadership and evangelize best practices EXPERIENCE AND KNOWLEDGE: Typically requires a Bachelors degree in (relevant degree) and a minimum of 5 years of related experience; or an advanced degree with 3+ years of experience; or equivalent related work experience. Proficiency in Python and SQL Web development experience Passion for applying good design principals while exercising pragmatism to keep deadlines Experience in all aspects of the software development life cycle Experience engineering software in a service-oriented architecture Strong analytical and problem-solving skills Effective communication skills Experience contributing in an Agile development environment Good interpersonal skills Occasional availability for on-call/emergency support Ability to work flexible hours when necessary for deadlines and off-hours installations Benefits: Hybrid Work Opportunities Flexible Time Off Career Development & Mentoring Programs Health & Wellness Benefits, including competitive health insurance offerings and generous paid parental leave for eligible new parents Community Volunteering & Company Philanthropy Programs Employee Peer Recognition Programs “You Earned it”

We are seeking an experienced Software Engineer with a strong background in developing scalable backend services and intuitive front-end experiences. This role offers the opportunity to contribute to the design and development of complex, high-performance enterprise applications, particularly within our loyalty platform ecosystem . You will be working in an Agile environment, taking ownership of technical components, mentoring junior engineers, and driving the design of new features. How You'll Make an Impact: Agile Development: Actively participate in all phases of Agile development , including planning, backlog grooming, coding, testing, and retrospectives. End-to-End Ownership: Own the development and integration of loyalty platform components , including REST APIs , batch jobs , and message queues . Leadership: Serve as a domain expert in at least one technology area, demonstrating leadership and ownership across feature development. Cross-Functional Collaboration: Collaborate closely with Product Owners and QA engineers to understand and refine acceptance criteria and technical specifications. Design & Architecture Leadership: Lead design and architecture discussions, proposing simple yet scalable solutions to complex business problems. Documentation: Create and maintain detailed documentation for business logic , configuration settings, and integration points. Testing: Develop unit and integration tests using TDD practices and frameworks like JUnit and Mockito . Mentorship: Provide guidance to junior developers through code reviews, pair programming, and knowledge-sharing sessions. Best Practices: Promote coding best practices, clean architecture , and SOLID principles within the team. Effort Estimation: Accurately estimate effort, identify risks early, and ensure timely delivery of features within scope. Continuous Improvement: Identify areas for improvement in code quality, performance, and DevOps practices . Production Support: Provide ongoing support for application deployment, monitoring, and issue resolution in production environments. What You Need to Be Successful: Technical Skills: Backend Development: 5+ years of experience designing and developing applications using Java (preferably JDK 17+ ) and Spring Boot / Spring Batch . Frontend Development: 5+ years of experience in front-end web application development . 2+ years of experience designing and developing applications using Angular (preferably version 7+). RESTful Services: 3+ years of experience developing RESTful services using JSON . Microservices & Cloud: Experience developing microservice-based applications on Oracle , AWS , or Azure . Database: 3+ years of experience writing SQL multi-table queries , inserts, and updates (preferably Oracle or PostgreSQL ). Experience with SQL performance tuning , including using execution explain plans . Message Queues: Familiarity with message queueing systems like RabbitMQ , ActiveMQ , or Kafka Streams . Containerization & Orchestration: Exposure to Docker containerization and configuring Kubernetes clusters (preferably using kubectl or Docker for Desktop ). Build Management: Experience with Build Management tools like Bitbucket/Git , Gradle , and Bamboo . Soft Skills: Communication: Excellent written and verbal communication skills. Problem-Solving: Strong analytical and problem-solving abilities. Collaboration: Ability to work independently and in a cross-functional team environment. Mentorship: A mentorship mindset , with a focus on supporting peer development and continuous learning. Proactive Attitude: A proactive approach toward innovation and continuous improvement . Preferred Experience: Experience in developing Loyalty , Banking , Accounting , or other transactional applications . Knowledge of monitoring tools, debugging distributed systems , and performance tuning in cloud environments.

JOB DESCRIPTION Roles & responsibilities Here are some of the key responsibilities of AI Research Scientist: Develop the overarching technical vision for AI systems that support both current and future business needs. Architect end-to-end AI applications, ensuring integration with legacy systems, enterprise data platforms, and microservices. Work closely with business analysts and domain experts to translate business objectives into technical requirements and AI-driven solutions and applications. Partner with product management to design agile project roadmaps, aligning technical strategy with market needs. Coordinate with data engineering teams to ensure smooth data flows, quality, and governance across data sources. Lead the design of reference architectures, roadmaps, and best practices for AI applications. Evaluate emerging technologies and methodologies, recommending proven innovations that can be integrated into the organizational strategy. Identify and define system components such as data ingestion pipelines, model training environments, continuous integration/continuous deployment (CI/CD) frameworks, and monitoring systems. Utilize containerization (Docker, Kubernetes) and cloud services to streamline the deployment and scaling of AI systems. Implement robust versioning, rollback, and monitoring mechanisms that ensure system stability, reliability, and performance. Ensure the architecture supports scalability, reliability, maintainability, and security best practices. Project Management: You will oversee the planning, execution, and delivery of AI and ML applications, ensuring that they are completed within budget and timeline constraints. This includes project management defining project goals, allocating resources, and managing risks. Oversee the lifecycle of AI application development—from conceptualization and design to development, testing, deployment, and post-PROD optimization. Enforce security best practices during each phase of development, with a focus on data privacy, user security, and risk mitigation. Provide mentorship to engineering teams and foster a culture of continuous learning. Lead technical knowledge-sharing sessions and workshops to keep teams up-to-date on the latest advances in generative AI and architectural best practices. Mandatory technical & functional skills The ideal candidate should have a strong background in working or developing agents using langgraph, autogen, and CrewAI. Proficiency in Python, with robust knowledge of machine learning libraries and frameworks such as TensorFlow, PyTorch, and Keras. Proven experience with cloud computing platforms (AWS, Azure, Google Cloud Platform) for building and deploying scalable AI solutions. Hands-on skills with containerization (Docker) and orchestration frameworks (Kubernetes), including related DevOps tools like Jenkins and GitLab CI/CD. Experience using Infrastructure as Code (IaC) tools such as Terraform or CloudFormation to automate cloud deployments. Proficient in SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra) to manage structured and unstructured data. Expertise in designing distributed systems, RESTful APIs, GraphQL integrations, and microservices architecture. - Knowledge of event-driven architectures and message brokers (e.g., RabbitMQ, Apache Kafka) to support robust inter-system communications. Preferred Technical & Functional Skills Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK Stack) to ensure system reliability and operational performance. Familiarity with cutting-edge libraries such as Hugging Face Transformers, OpenAI’s API integrations, and other domain-specific tools. Large scale deployment of ML projects, with good understanding of DevOps /MLOps /LLM Ops Training and fine tuning of Large Language Models or SLMs (PALM2, GPT4, LLAMA etc ) Key behavioral attributes/requirements Ability to mentor junior developers Ability to own project deliverables and contribute towards risk mitigation Understand business objectives and functions to support data needs RESPONSIBILITIES Roles & responsibilities Here are some of the key responsibilities of AI architect: Develop the overarching technical vision for AI systems that support both current and future business needs. Architect end-to-end AI applications, ensuring integration with legacy systems, enterprise data platforms, and microservices. Work closely with business analysts and domain experts to translate business objectives into technical requirements and AI-driven solutions and applications. Partner with product management to design agile project roadmaps, aligning technical strategy with market needs. Coordinate with data engineering teams to ensure smooth data flows, quality, and governance across data sources. Lead the design of reference architectures, roadmaps, and best practices for AI applications. Evaluate emerging technologies and methodologies, recommending proven innovations that can be integrated into the organizational strategy. Identify and define system components such as data ingestion pipelines, model training environments, continuous integration/continuous deployment (CI/CD) frameworks, and monitoring systems. Utilize containerization (Docker, Kubernetes) and cloud services to streamline the deployment and scaling of AI systems. Implement robust versioning, rollback, and monitoring mechanisms that ensure system stability, reliability, and performance. Ensure the architecture supports scalability, reliability, maintainability, and security best practices. Project Management: You will oversee the planning, execution, and delivery of AI and ML applications, ensuring that they are completed within budget and timeline constraints. This includes project management defining project goals, allocating resources, and managing risks. Oversee the lifecycle of AI application development—from conceptualization and design to development, testing, deployment, and post-PROD optimization. Enforce security best practices during each phase of development, with a focus on data privacy, user security, and risk mitigation. Provide mentorship to engineering teams and foster a culture of continuous learning. Lead technical knowledge-sharing sessions and workshops to keep teams up-to-date on the latest advances in generative AI and architectural best practices. Mandatory technical & functional skills The ideal candidate should have a strong background in working or developing agents using langgraph, autogen, and CrewAI. Proficiency in Python, with robust knowledge of machine learning libraries and frameworks such as TensorFlow, PyTorch, and Keras. Proven experience with cloud computing platforms (AWS, Azure, Google Cloud Platform) for building and deploying scalable AI solutions. Hands-on skills with containerization (Docker) and orchestration frameworks (Kubernetes), including related DevOps tools like Jenkins and GitLab CI/CD. Experience using Infrastructure as Code (IaC) tools such as Terraform or CloudFormation to automate cloud deployments. Proficient in SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra) to manage structured and unstructured data. Expertise in designing distributed systems, RESTful APIs, GraphQL integrations, and microservices architecture. - Knowledge of event-driven architectures and message brokers (e.g., RabbitMQ, Apache Kafka) to support robust inter-system communications. Preferred Technical & Functional Skills Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK Stack) to ensure system reliability and operational performance. Familiarity with cutting-edge libraries such as Hugging Face Transformers, OpenAI’s API integrations, and other domain-specific tools. Large scale deployment of ML projects, with good understanding of DevOps /MLOps /LLM Ops Training and fine tuning of Large Language Models or SLMs (PALM2, GPT4, LLAMA etc ) Key behavioral attributes/requirements Ability to mentor junior developers Ability to own project deliverables and contribute towards risk mitigation Understand business objectives and functions to support data needs #KGS QUALIFICATIONS This role is for you if you have the below Educational Qualifications Bachelor’s/Master’s degree in Computer Science Certifications in Cloud technologies (AWS, Azure, GCP) and TOGAF certification (good to have) Work experience: 11 to 14 Years of Experience #KGS

JOB DESCRIPTION Roles & responsibilities Here are some of the key responsibilities of AI architect: Develop the overarching technical vision for AI systems that support both current and future business needs. Architect end-to-end AI applications, ensuring integration with legacy systems, enterprise data platforms, and microservices. Work closely with business analysts and domain experts to translate business objectives into technical requirements and AI-driven solutions and applications. Partner with product management to design agile project roadmaps, aligning technical strategy with market needs. Coordinate with data engineering teams to ensure smooth data flows, quality, and governance across data sources. Lead the design of reference architectures, roadmaps, and best practices for AI applications. Evaluate emerging technologies and methodologies, recommending proven innovations that can be integrated into the organizational strategy. Identify and define system components such as data ingestion pipelines, model training environments, continuous integration/continuous deployment (CI/CD) frameworks, and monitoring systems. Utilize containerization (Docker, Kubernetes) and cloud services to streamline the deployment and scaling of AI systems. Implement robust versioning, rollback, and monitoring mechanisms that ensure system stability, reliability, and performance. Ensure the architecture supports scalability, reliability, maintainability, and security best practices. Project Management: You will oversee the planning, execution, and delivery of AI and ML applications, ensuring that they are completed within budget and timeline constraints. This includes project management defining project goals, allocating resources, and managing risks. Oversee the lifecycle of AI application development—from conceptualization and design to development, testing, deployment, and post-PROD optimization. Enforce security best practices during each phase of development, with a focus on data privacy, user security, and risk mitigation. Provide mentorship to engineering teams and foster a culture of continuous learning. Lead technical knowledge-sharing sessions and workshops to keep teams up-to-date on the latest advances in generative AI and architectural best practices. Mandatory technical & functional skills The ideal candidate should have a strong background in working or developing agents using langgraph, autogen, and CrewAI. Proficiency in Python, with robust knowledge of machine learning libraries and frameworks such as TensorFlow, PyTorch, and Keras. Proven experience with cloud computing platforms (AWS, Azure, Google Cloud Platform) for building and deploying scalable AI solutions. Hands-on skills with containerization (Docker) and orchestration frameworks (Kubernetes), including related DevOps tools like Jenkins and GitLab CI/CD. Experience using Infrastructure as Code (IaC) tools such as Terraform or CloudFormation to automate cloud deployments. Proficient in SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra) to manage structured and unstructured data. Expertise in designing distributed systems, RESTful APIs, GraphQL integrations, and microservices architecture. - Knowledge of event-driven architectures and message brokers (e.g., RabbitMQ, Apache Kafka) to support robust inter-system communications. Preferred Technical & Functional Skills Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK Stack) to ensure system reliability and operational performance. Familiarity with cutting-edge libraries such as Hugging Face Transformers, OpenAI’s API integrations, and other domain-specific tools. Large scale deployment of ML projects, with good understanding of DevOps /MLOps /LLM Ops Training and fine tuning of Large Language Models or SLMs (PALM2, GPT4, LLAMA etc ) Key behavioral attributes/requirements Ability to mentor junior developers Ability to own project deliverables and contribute towards risk mitigation Understand business objectives and functions to support data needs RESPONSIBILITIES Roles & responsibilities Here are some of the key responsibilities of AI architect: Develop the overarching technical vision for AI systems that support both current and future business needs. Architect end-to-end AI applications, ensuring integration with legacy systems, enterprise data platforms, and microservices. Work closely with business analysts and domain experts to translate business objectives into technical requirements and AI-driven solutions and applications. Partner with product management to design agile project roadmaps, aligning technical strategy with market needs. Coordinate with data engineering teams to ensure smooth data flows, quality, and governance across data sources. Lead the design of reference architectures, roadmaps, and best practices for AI applications. Evaluate emerging technologies and methodologies, recommending proven innovations that can be integrated into the organizational strategy. Identify and define system components such as data ingestion pipelines, model training environments, continuous integration/continuous deployment (CI/CD) frameworks, and monitoring systems. Utilize containerization (Docker, Kubernetes) and cloud services to streamline the deployment and scaling of AI systems. Implement robust versioning, rollback, and monitoring mechanisms that ensure system stability, reliability, and performance. Ensure the architecture supports scalability, reliability, maintainability, and security best practices. Project Management: You will oversee the planning, execution, and delivery of AI and ML applications, ensuring that they are completed within budget and timeline constraints. This includes project management defining project goals, allocating resources, and managing risks. Oversee the lifecycle of AI application development—from conceptualization and design to development, testing, deployment, and post-PROD optimization. Enforce security best practices during each phase of development, with a focus on data privacy, user security, and risk mitigation. Provide mentorship to engineering teams and foster a culture of continuous learning. Lead technical knowledge-sharing sessions and workshops to keep teams up-to-date on the latest advances in generative AI and architectural best practices. Mandatory technical & functional skills The ideal candidate should have a strong background in working or developing agents using langgraph, autogen, and CrewAI. Proficiency in Python, with robust knowledge of machine learning libraries and frameworks such as TensorFlow, PyTorch, and Keras. Proven experience with cloud computing platforms (AWS, Azure, Google Cloud Platform) for building and deploying scalable AI solutions. Hands-on skills with containerization (Docker) and orchestration frameworks (Kubernetes), including related DevOps tools like Jenkins and GitLab CI/CD. Experience using Infrastructure as Code (IaC) tools such as Terraform or CloudFormation to automate cloud deployments. Proficient in SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra) to manage structured and unstructured data. Expertise in designing distributed systems, RESTful APIs, GraphQL integrations, and microservices architecture. - Knowledge of event-driven architectures and message brokers (e.g., RabbitMQ, Apache Kafka) to support robust inter-system communications. Preferred Technical & Functional Skills Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK Stack) to ensure system reliability and operational performance. Familiarity with cutting-edge libraries such as Hugging Face Transformers, OpenAI’s API integrations, and other domain-specific tools. Large scale deployment of ML projects, with good understanding of DevOps /MLOps /LLM Ops Training and fine tuning of Large Language Models or SLMs (PALM2, GPT4, LLAMA etc ) Key behavioral attributes/requirements Ability to mentor junior developers Ability to own project deliverables and contribute towards risk mitigation Understand business objectives and functions to support data needs #KGS QUALIFICATIONS This role is for you if you have the below Educational Qualifications Bachelor’s/Master’s degree in Computer Science Certifications in Cloud technologies (AWS, Azure, GCP) and TOGAF certification (good to have) Work experience: 11 to 14 Years of Experience #KGS

JOB DESCRIPTION Roles & responsibilities Here are some of the key responsibilities of AI Product Manager: Develop the overarching technical vision for AI systems that support both current and future business needs. Architect end-to-end AI applications, ensuring integration with legacy systems, enterprise data platforms, and microservices. Work closely with business analysts and domain experts to translate business objectives into technical requirements and AI-driven solutions and applications. Partner with product management to design agile project roadmaps, aligning technical strategy with market needs. Coordinate with data engineering teams to ensure smooth data flows, quality, and governance across data sources. Lead the design of reference architectures, roadmaps, and best practices for AI applications. Evaluate emerging technologies and methodologies, recommending proven innovations that can be integrated into the organizational strategy. Identify and define system components such as data ingestion pipelines, model training environments, continuous integration/continuous deployment (CI/CD) frameworks, and monitoring systems. Utilize containerization (Docker, Kubernetes) and cloud services to streamline the deployment and scaling of AI systems. Implement robust versioning, rollback, and monitoring mechanisms that ensure system stability, reliability, and performance. Ensure the architecture supports scalability, reliability, maintainability, and security best practices. Project Management: You will oversee the planning, execution, and delivery of AI and ML applications, ensuring that they are completed within budget and timeline constraints. This includes project management defining project goals, allocating resources, and managing risks. Oversee the lifecycle of AI application development—from conceptualization and design to development, testing, deployment, and post-PROD optimization. Enforce security best practices during each phase of development, with a focus on data privacy, user security, and risk mitigation. Provide mentorship to engineering teams and foster a culture of continuous learning. Lead technical knowledge-sharing sessions and workshops to keep teams up-to-date on the latest advances in generative AI and architectural best practices. Mandatory technical & functional skills The ideal candidate should have a strong background in working or developing agents using langgraph, autogen, and CrewAI. Proficiency in Python, with robust knowledge of machine learning libraries and frameworks such as TensorFlow, PyTorch, and Keras. Proven experience with cloud computing platforms (AWS, Azure, Google Cloud Platform) for building and deploying scalable AI solutions. Hands-on skills with containerization (Docker) and orchestration frameworks (Kubernetes), including related DevOps tools like Jenkins and GitLab CI/CD. Experience using Infrastructure as Code (IaC) tools such as Terraform or CloudFormation to automate cloud deployments. Proficient in SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra) to manage structured and unstructured data. Expertise in designing distributed systems, RESTful APIs, GraphQL integrations, and microservices architecture. - Knowledge of event-driven architectures and message brokers (e.g., RabbitMQ, Apache Kafka) to support robust inter-system communications. Preferred Technical & Functional Skills Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK Stack) to ensure system reliability and operational performance. Familiarity with cutting-edge libraries such as Hugging Face Transformers, OpenAI’s API integrations, and other domain-specific tools. Large scale deployment of ML projects, with good understanding of DevOps /MLOps /LLM Ops Training and fine tuning of Large Language Models or SLMs (PALM2, GPT4, LLAMA etc ) Key behavioral attributes/requirements Ability to mentor junior developers Ability to own project deliverables and contribute towards risk mitigation Understand business objectives and functions to support data needs RESPONSIBILITIES Roles & responsibilities Here are some of the key responsibilities of AI Product Manager: Develop the overarching technical vision for AI systems that support both current and future business needs. Architect end-to-end AI applications, ensuring integration with legacy systems, enterprise data platforms, and microservices. Work closely with business analysts and domain experts to translate business objectives into technical requirements and AI-driven solutions and applications. Partner with product management to design agile project roadmaps, aligning technical strategy with market needs. Coordinate with data engineering teams to ensure smooth data flows, quality, and governance across data sources. Lead the design of reference architectures, roadmaps, and best practices for AI applications. Evaluate emerging technologies and methodologies, recommending proven innovations that can be integrated into the organizational strategy. Identify and define system components such as data ingestion pipelines, model training environments, continuous integration/continuous deployment (CI/CD) frameworks, and monitoring systems. Utilize containerization (Docker, Kubernetes) and cloud services to streamline the deployment and scaling of AI systems. Implement robust versioning, rollback, and monitoring mechanisms that ensure system stability, reliability, and performance. Ensure the architecture supports scalability, reliability, maintainability, and security best practices. Project Management: You will oversee the planning, execution, and delivery of AI and ML applications, ensuring that they are completed within budget and timeline constraints. This includes project management defining project goals, allocating resources, and managing risks. Oversee the lifecycle of AI application development—from conceptualization and design to development, testing, deployment, and post-PROD optimization. Enforce security best practices during each phase of development, with a focus on data privacy, user security, and risk mitigation. Provide mentorship to engineering teams and foster a culture of continuous learning. Lead technical knowledge-sharing sessions and workshops to keep teams up-to-date on the latest advances in generative AI and architectural best practices. Mandatory technical & functional skills The ideal candidate should have a strong background in working or developing agents using langgraph, autogen, and CrewAI. Proficiency in Python, with robust knowledge of machine learning libraries and frameworks such as TensorFlow, PyTorch, and Keras. Proven experience with cloud computing platforms (AWS, Azure, Google Cloud Platform) for building and deploying scalable AI solutions. Hands-on skills with containerization (Docker) and orchestration frameworks (Kubernetes), including related DevOps tools like Jenkins and GitLab CI/CD. Experience using Infrastructure as Code (IaC) tools such as Terraform or CloudFormation to automate cloud deployments. Proficient in SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra) to manage structured and unstructured data. Expertise in designing distributed systems, RESTful APIs, GraphQL integrations, and microservices architecture. - Knowledge of event-driven architectures and message brokers (e.g., RabbitMQ, Apache Kafka) to support robust inter-system communications. Preferred Technical & Functional Skills Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK Stack) to ensure system reliability and operational performance. Familiarity with cutting-edge libraries such as Hugging Face Transformers, OpenAI’s API integrations, and other domain-specific tools. Large scale deployment of ML projects, with good understanding of DevOps /MLOps /LLM Ops Training and fine tuning of Large Language Models or SLMs (PALM2, GPT4, LLAMA etc ) Key behavioral attributes/requirements Ability to mentor junior developers Ability to own project deliverables and contribute towards risk mitigation Understand business objectives and functions to support data needs #KGS QUALIFICATIONS This role is for you if you have the below Educational Qualifications Bachelor’s/Master’s degree in Computer Science Certifications in Cloud technologies (AWS, Azure, GCP) and TOGAF certification (good to have) Work experience: 11 to 14 Years of Experience #KGS

Note: Do not apply without deep knowledge of Kubernetes or if your salary expectation exceeds 8-12 lac per annum About the Job Weare seeking a talented and experienced Full Stack Developer with DevOps Expertise to join our innovative development team. You will work alongside our existing full stack developer and ML team on a cutting-edge pattern detection web application that identifies technical analysis patterns (e.g., ascending triangles, symmetrical triangles) in cryptocurrency markets and delivers real-time notifications to users. Our platform is approaching the alpha/testing phase, and we need a skilled developer to scale our infrastructure and enhance system capabilities. This role requires expertise in both frontend and backend development, with a strong emphasis on containerization, orchestration, and crypto exchange integrations. About Our System Our platform operates a sophisticated real-time pattern detection system with the following architecture: Live Data Pipeline: Real-time cryptocurrency data ingestion from multiple exchanges via Kafka. Dynamic Container Management: Per-user Docker pods (consumer and producer pods). Real-time Processing: Complex technical analysis algorithms running in distributed containers. Multi-channel Notifications: Discord integrations and WebSocket connections for instant alerts. High-Volume Operations: Managing thousands of containers across hundreds of concurrent users. Key Responsibilities Backend & Infrastructure Development Kubernetes Implementation: Design and implement Kubernetes orchestration to replace our current Docker-only setup, managing thousands of containers efficiently across multiple servers. Load Balancing & Scaling: Implement robust load balancing solutions and auto scaling mechanisms for high-volume container workloads. Crypto Exchange Integration: Develop and maintain integrations with cryptocurrency exchanges for real-time data fetching and processing. Kafka Architecture: Optimize our Kafka-based data pipeline for high-throughput cryptocurrency market data. API Development: Build and maintain RESTful APIs for pattern detection, user management, and notification systems. Performance Optimization: Ensure system scalability to handle thousands of concurrent users and containers. Frontend Development User Interface: Build responsive and intuitive interfaces using React and Next.js for pattern visualization and user management. Real-time Data Visualization: Implement WebSocket connections for live pattern detection displays. Trading Interface: Create user-friendly interfaces for pattern configuration and notification preferences. DevOps &Container Management Container Orchestration: Migrate from Docker-only setup to full Kubernetes implementation. Multi-server Architecture: Design and implement distributed server infrastructure with proper load balancing. Monitoring & Logging: Implement comprehensive monitoring for container health and system performance. CI/CD Pipelines: Maintain deployment pipelines for rapid feature delivery. Required Qualifications Professional Experience: Minimum 4 years of full stack development with proven experience in high-scale applications. Kubernetes Expertise: Hands-on experience with Kubernetes orchestration, pod management, and cluster administration. Docker Proficiency: Advanced knowledge of Docker containerization, multi container applications, and container optimization. Crypto Exchange Knowledge: Practical experience with cryptocurrency exchange APIs, real-time data feeds, and market data processing. Trading Platform Understanding: Basic knowledge of cryptocurrency markets and technical analysis concepts (no trading expertise required). Backend Technologies: Proficiency in Node.js/Express, Python, or similar frameworks with experience in high-throughput applications. Frontend Skills: Strong experience with React, Next.js, and WebSocket implementations for real-time applications. Kafka Experience: Working knowledge of Apache Kafka for real-time data streaming. Database Management: Experience with both SQL and NoSQL databases for high volume data processing. Load Balancing: Understanding of load balancing strategies and implementation across multiple servers. Highly Preferred Skills AWSLambda: Experience with AWS Lambda functions for serverless computing. Message Queues: Experience with Redis, RabbitMQ, or other messaging systems. WebSocket Technology: Advanced knowledge of real-time communication protocols. Performance Optimization: Experience optimizing applications for high concurrent user loads. Monitoring Tools: Familiarity with Prometheus, Grafana, or similar monitoring solutions. Technical Challenges You'll Solve Scale from hundreds to thousands of dynamic Docker containers efficiently. Implement Kubernetes-based orchestration for multi-server deployment. Optimize real-time data processing for multiple cryptocurrency exchanges. Design fault-tolerant systems for continuous pattern detection. Build responsive interfaces that handle high-frequency market data updates. Work Environment & Compensation Remote Work : Fully remote position with 8 working hours per day, every second Saturday off, and all Sundays free. Competitive Salary: 8-12 lac per annum based on experience, plus performance bonuses. Team Collaboration: Work closely with our existing full stack developer and ML team in a collaborative environment. Pre-Launch Opportunity: Join us during our alpha/testing phase and be part of launching an innovative product. Cutting-Edge Technology: Work with the latest in containerization, real-time data processing, and crypto technology. Application Requirements Portfolio demonstrating Kubernetes and Docker expertise. Examples of high-scale applications you've built or contributed to. Any experience with cryptocurrency or financial market applications. Your approach to managing thousands of concurrent containers. Application Deadline Open until filled. Note: Applications without demonstrated Kubernetes expertise or with salary expectations exceeding 8-12 lac per annum will not be considered.

JOB DESCRIPTION Roles & responsibilities Here are some of the key responsibilities of AI architect: Develop the overarching technical vision for AI systems that support both current and future business needs. Architect end-to-end AI applications, ensuring integration with legacy systems, enterprise data platforms, and microservices. Work closely with business analysts and domain experts to translate business objectives into technical requirements and AI-driven solutions and applications. Partner with product management to design agile project roadmaps, aligning technical strategy with market needs. Coordinate with data engineering teams to ensure smooth data flows, quality, and governance across data sources. Lead the design of reference architectures, roadmaps, and best practices for AI applications. Evaluate emerging technologies and methodologies, recommending proven innovations that can be integrated into the organizational strategy. Identify and define system components such as data ingestion pipelines, model training environments, continuous integration/continuous deployment (CI/CD) frameworks, and monitoring systems. Utilize containerization (Docker, Kubernetes) and cloud services to streamline the deployment and scaling of AI systems. Implement robust versioning, rollback, and monitoring mechanisms that ensure system stability, reliability, and performance. Ensure the architecture supports scalability, reliability, maintainability, and security best practices. Project Management: You will oversee the planning, execution, and delivery of AI and ML applications, ensuring that they are completed within budget and timeline constraints. This includes project management defining project goals, allocating resources, and managing risks. Oversee the lifecycle of AI application development—from conceptualization and design to development, testing, deployment, and post-PROD optimization. Enforce security best practices during each phase of development, with a focus on data privacy, user security, and risk mitigation. Provide mentorship to engineering teams and foster a culture of continuous learning. Lead technical knowledge-sharing sessions and workshops to keep teams up-to-date on the latest advances in generative AI and architectural best practices. Mandatory technical & functional skills The ideal candidate should have a strong background in working or developing agents using langgraph, autogen, and CrewAI. Proficiency in Python, with robust knowledge of machine learning libraries and frameworks such as TensorFlow, PyTorch, and Keras. Proven experience with cloud computing platforms (AWS, Azure, Google Cloud Platform) for building and deploying scalable AI solutions. Hands-on skills with containerization (Docker) and orchestration frameworks (Kubernetes), including related DevOps tools like Jenkins and GitLab CI/CD. Experience using Infrastructure as Code (IaC) tools such as Terraform or CloudFormation to automate cloud deployments. Proficient in SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra) to manage structured and unstructured data. Expertise in designing distributed systems, RESTful APIs, GraphQL integrations, and microservices architecture. - Knowledge of event-driven architectures and message brokers (e.g., RabbitMQ, Apache Kafka) to support robust inter-system communications. Preferred Technical & Functional Skills Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK Stack) to ensure system reliability and operational performance. Familiarity with cutting-edge libraries such as Hugging Face Transformers, OpenAI’s API integrations, and other domain-specific tools. Large scale deployment of ML projects, with good understanding of DevOps /MLOps /LLM Ops Training and fine tuning of Large Language Models or SLMs (PALM2, GPT4, LLAMA etc ) Key behavioral attributes/requirements Ability to mentor junior developers Ability to own project deliverables and contribute towards risk mitigation Understand business objectives and functions to support data needs RESPONSIBILITIES Roles & responsibilities Here are some of the key responsibilities of AI architect: Develop the overarching technical vision for AI systems that support both current and future business needs. Architect end-to-end AI applications, ensuring integration with legacy systems, enterprise data platforms, and microservices. Work closely with business analysts and domain experts to translate business objectives into technical requirements and AI-driven solutions and applications. Partner with product management to design agile project roadmaps, aligning technical strategy with market needs. Coordinate with data engineering teams to ensure smooth data flows, quality, and governance across data sources. Lead the design of reference architectures, roadmaps, and best practices for AI applications. Evaluate emerging technologies and methodologies, recommending proven innovations that can be integrated into the organizational strategy. Identify and define system components such as data ingestion pipelines, model training environments, continuous integration/continuous deployment (CI/CD) frameworks, and monitoring systems. Utilize containerization (Docker, Kubernetes) and cloud services to streamline the deployment and scaling of AI systems. Implement robust versioning, rollback, and monitoring mechanisms that ensure system stability, reliability, and performance. Ensure the architecture supports scalability, reliability, maintainability, and security best practices. Project Management: You will oversee the planning, execution, and delivery of AI and ML applications, ensuring that they are completed within budget and timeline constraints. This includes project management defining project goals, allocating resources, and managing risks. Oversee the lifecycle of AI application development—from conceptualization and design to development, testing, deployment, and post-PROD optimization. Enforce security best practices during each phase of development, with a focus on data privacy, user security, and risk mitigation. Provide mentorship to engineering teams and foster a culture of continuous learning. Lead technical knowledge-sharing sessions and workshops to keep teams up-to-date on the latest advances in generative AI and architectural best practices. Mandatory technical & functional skills The ideal candidate should have a strong background in working or developing agents using langgraph, autogen, and CrewAI. Proficiency in Python, with robust knowledge of machine learning libraries and frameworks such as TensorFlow, PyTorch, and Keras. Proven experience with cloud computing platforms (AWS, Azure, Google Cloud Platform) for building and deploying scalable AI solutions. Hands-on skills with containerization (Docker) and orchestration frameworks (Kubernetes), including related DevOps tools like Jenkins and GitLab CI/CD. Experience using Infrastructure as Code (IaC) tools such as Terraform or CloudFormation to automate cloud deployments. Proficient in SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra) to manage structured and unstructured data. Expertise in designing distributed systems, RESTful APIs, GraphQL integrations, and microservices architecture. - Knowledge of event-driven architectures and message brokers (e.g., RabbitMQ, Apache Kafka) to support robust inter-system communications. Preferred Technical & Functional Skills Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK Stack) to ensure system reliability and operational performance. Familiarity with cutting-edge libraries such as Hugging Face Transformers, OpenAI’s API integrations, and other domain-specific tools. Large scale deployment of ML projects, with good understanding of DevOps /MLOps /LLM Ops Training and fine tuning of Large Language Models or SLMs (PALM2, GPT4, LLAMA etc ) Key behavioral attributes/requirements Ability to mentor junior developers Ability to own project deliverables and contribute towards risk mitigation Understand business objectives and functions to support data needs #KGS QUALIFICATIONS This role is for you if you have the below Educational Qualifications Bachelor’s/Master’s degree in Computer Science Certifications in Cloud technologies (AWS, Azure, GCP) and TOGAF certification (good to have) Work experience: 11 to 14 Years of Experience #KGS

JOB DESCRIPTION Roles & responsibilities Here are some of the key responsibilities of AI Azure Architect: Develop the overarching technical vision for AI systems that support both current and future business needs. Architect end-to-end AI applications, ensuring integration with legacy systems, enterprise data platforms, and microservices. Work closely with business analysts and domain experts to translate business objectives into technical requirements and AI-driven solutions and applications. Partner with product management to design agile project roadmaps, aligning technical strategy with market needs. Coordinate with data engineering teams to ensure smooth data flows, quality, and governance across data sources. Lead the design of reference architectures, roadmaps, and best practices for AI applications. Evaluate emerging technologies and methodologies, recommending proven innovations that can be integrated into the organizational strategy. Identify and define system components such as data ingestion pipelines, model training environments, continuous integration/continuous deployment (CI/CD) frameworks, and monitoring systems. Utilize containerization (Docker, Kubernetes) and cloud services to streamline the deployment and scaling of AI systems. Implement robust versioning, rollback, and monitoring mechanisms that ensure system stability, reliability, and performance. Ensure the architecture supports scalability, reliability, maintainability, and security best practices. Project Management: You will oversee the planning, execution, and delivery of AI and ML applications, ensuring that they are completed within budget and timeline constraints. This includes project management defining project goals, allocating resources, and managing risks. Oversee the lifecycle of AI application development—from conceptualization and design to development, testing, deployment, and post-PROD optimization. Enforce security best practices during each phase of development, with a focus on data privacy, user security, and risk mitigation. Provide mentorship to engineering teams and foster a culture of continuous learning. Lead technical knowledge-sharing sessions and workshops to keep teams up-to-date on the latest advances in generative AI and architectural best practices. Mandatory technical & functional skills The ideal candidate should have a strong background in working or developing agents using langgraph, autogen, and CrewAI. Proficiency in Python, with robust knowledge of machine learning libraries and frameworks such as TensorFlow, PyTorch, and Keras. Proven experience with cloud computing platforms (AWS, Azure, Google Cloud Platform) for building and deploying scalable AI solutions. Hands-on skills with containerization (Docker) and orchestration frameworks (Kubernetes), including related DevOps tools like Jenkins and GitLab CI/CD. Experience using Infrastructure as Code (IaC) tools such as Terraform or CloudFormation to automate cloud deployments. Proficient in SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra) to manage structured and unstructured data. Expertise in designing distributed systems, RESTful APIs, GraphQL integrations, and microservices architecture. - Knowledge of event-driven architectures and message brokers (e.g., RabbitMQ, Apache Kafka) to support robust inter-system communications. Preferred Technical & Functional Skills Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK Stack) to ensure system reliability and operational performance. Familiarity with cutting-edge libraries such as Hugging Face Transformers, OpenAI’s API integrations, and other domain-specific tools. Large scale deployment of ML projects, with good understanding of DevOps /MLOps /LLM Ops Training and fine tuning of Large Language Models or SLMs (PALM2, GPT4, LLAMA etc ) Key behavioral attributes/requirements Ability to mentor junior developers Ability to own project deliverables and contribute towards risk mitigation Understand business objectives and functions to support data needs RESPONSIBILITIES Roles & responsibilities Here are some of the key responsibilities of AI Azure Architect: Develop the overarching technical vision for AI systems that support both current and future business needs. Architect end-to-end AI applications, ensuring integration with legacy systems, enterprise data platforms, and microservices. Work closely with business analysts and domain experts to translate business objectives into technical requirements and AI-driven solutions and applications. Partner with product management to design agile project roadmaps, aligning technical strategy with market needs. Coordinate with data engineering teams to ensure smooth data flows, quality, and governance across data sources. Lead the design of reference architectures, roadmaps, and best practices for AI applications. Evaluate emerging technologies and methodologies, recommending proven innovations that can be integrated into the organizational strategy. Identify and define system components such as data ingestion pipelines, model training environments, continuous integration/continuous deployment (CI/CD) frameworks, and monitoring systems. Utilize containerization (Docker, Kubernetes) and cloud services to streamline the deployment and scaling of AI systems. Implement robust versioning, rollback, and monitoring mechanisms that ensure system stability, reliability, and performance. Ensure the architecture supports scalability, reliability, maintainability, and security best practices. Project Management: You will oversee the planning, execution, and delivery of AI and ML applications, ensuring that they are completed within budget and timeline constraints. This includes project management defining project goals, allocating resources, and managing risks. Oversee the lifecycle of AI application development—from conceptualization and design to development, testing, deployment, and post-PROD optimization. Enforce security best practices during each phase of development, with a focus on data privacy, user security, and risk mitigation. Provide mentorship to engineering teams and foster a culture of continuous learning. Lead technical knowledge-sharing sessions and workshops to keep teams up-to-date on the latest advances in generative AI and architectural best practices. Mandatory technical & functional skills The ideal candidate should have a strong background in working or developing agents using langgraph, autogen, and CrewAI. Proficiency in Python, with robust knowledge of machine learning libraries and frameworks such as TensorFlow, PyTorch, and Keras. Proven experience with cloud computing platforms (AWS, Azure, Google Cloud Platform) for building and deploying scalable AI solutions. Hands-on skills with containerization (Docker) and orchestration frameworks (Kubernetes), including related DevOps tools like Jenkins and GitLab CI/CD. Experience using Infrastructure as Code (IaC) tools such as Terraform or CloudFormation to automate cloud deployments. Proficient in SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra) to manage structured and unstructured data. Expertise in designing distributed systems, RESTful APIs, GraphQL integrations, and microservices architecture. - Knowledge of event-driven architectures and message brokers (e.g., RabbitMQ, Apache Kafka) to support robust inter-system communications. Preferred Technical & Functional Skills Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK Stack) to ensure system reliability and operational performance. Familiarity with cutting-edge libraries such as Hugging Face Transformers, OpenAI’s API integrations, and other domain-specific tools. Large scale deployment of ML projects, with good understanding of DevOps /MLOps /LLM Ops Training and fine tuning of Large Language Models or SLMs (PALM2, GPT4, LLAMA etc ) Key behavioral attributes/requirements Ability to mentor junior developers Ability to own project deliverables and contribute towards risk mitigation Understand business objectives and functions to support data needs #KGS QUALIFICATIONS This role is for you if you have the below Educational Qualifications Bachelor’s/Master’s degree in Computer Science Certifications in Cloud technologies (AWS, Azure, GCP) and TOGAF certification (good to have) Work experience: 11 to 14 Years of Experience #KGS

Mandatory Skills Golang with great understanding, ProtoBuf, Caching System, Database, Arango, RabbitMQ, Grafana Good to have - Python, Kafka, AWS Monitoring, Linux.ECS,System Designing Responsibilities : Problem Solving: Constantly analyzing and solving complex technical challenges. Collaboration: Working closely with various teams and individuals. Ownership: Taking responsibility for the quality, scalability, and maintainability of their work. Mentorship: Guiding and elevating the technical skills of less experienced team members. Proactive Improvement: Identifying areas for system improvements, automation, and efficiency. Communication: Clearly articulating technical concepts and decisions to both technical and non-technical audiences. Educational Qualifications : BE/B Tech with 2.6 to 5 Years of experience in Software development using Golang

Expertise in: Running Enterprise MQ infrastructure. Developing MQ architecture and enterprise level strategies for MQ. Standardizing MQ platforms. Defining MQ standards and implementing them across the board. Developing and implementing MQ level monitoring solutions. Upgrades and vulnerability. MQ Monitoring set up using Dynatrace (New relic) Skills: Expert level working knowledge on Rabbit MQ, IBM MQ and OMQ. Excellent automation skills. Proven skills in automation for MQ. Eg Rehydrating MQ instances etc. Experience with Ansible automation. Experience in writing automation scripts/playbooks for MQ. Working knowledge on AWS. Drive end to end MQ automations. Creating tools to automate MQ related activities. Jenkins, Git, Python for CICD and pipelines Excellent troubleshooting.

Job Role – Sr Java Microservices Developer Experience – 6 to 12Years Location – Hyderabad Only Work Mode – Hybrid Note – Immediate Joiners Only Job Description 5+ years of experience with Java, Spring framework and Spring Boot services, deployment to application servers (preferably Weblogic), JMS/Kafka/RabbitMQ and with relational database. Should have experience in Solutioning Architect Java Microservices along with AWS. Should have AWS certified person and have hands on. Design, development, and maintenance of Java/J2ee based system responsible for integration between Client and external services-based platforms belonging to multiple wireless carriers, and other business partners. Expertise in customer facing applications, specifically development and consumption of Microservices, Rest/SOAP and XML web services, and supporting and troubleshooting multithreaded enterprise Java applications. Experience with AWS Cloud is a plus. Automated deployments – Jenkins, ansible, terraform. Qualifications 5+ years of experience with Java, Spring framework and Spring Boot services, deployment to application servers (preferably Weblogic), JMS/Kafka/RabbitMQ and with relational database. Should have experience in Solutioning Architect Java Microservices along with AWS. Should have AWS certified person and have hands on. Design, development, and maintenance of Java/J2ee based system responsible for integration between Client and external services-based platforms belonging to multiple wireless carriers, and other business partners. Expertise in customer facing applications, specifically development and consumption of Microservices, Rest/SOAP and XML web services, and supporting and troubleshooting multithreaded enterprise Java applications. Experience with AWS Cloud is a plus. Automated deployments – Jenkins, ansible, terraform. Job Types: Full-time, Permanent Pay: ₹1,500,000.00 - ₹2,500,000.00 per year Benefits: Health insurance Schedule: Monday to Friday Application Question(s): This Job requires immediate joiners, are you available to join immediately? We are looking for candidates in Hyderabad location only. Are you in Hyderabad? What is your total years of experience in relevance to the Job Description? (Minimum of 8 years required) Experience: total work: 8 years (Required) Work Location: In person

Job Title: Golang Developer Job Type: Full-Time Experience: 3-4 Years About the Role: We are seeking a skilled and motivated Golang Developer with 2–3 years of hands-on experience to join our engineering team. You will be responsible for building high-performance backend services, APIs, and scalable systems, working in a collaborative and fast-paced environment. Key Responsibilities: Design, develop, and maintain robust, scalable, and secure backend services using Go (Golang) Write clean, efficient, and testable code Build RESTful and/or gRPC APIs to support web and mobile applications Optimize performance and scalability of backend services Collaborate with frontend developers, product managers, and other engineers Participate in code reviews, debugging, and troubleshooting Implement best practices in system architecture, coding, and testing Maintain and improve CI/CD pipelines and development workflows Requirements: 2–3 years of experience in backend development using Golang Solid understanding of concurrency, goroutines, and channels Experience with RESTful APIs , gRPC , and microservices architecture Familiarity with SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Redis) Experience with Docker , and knowledge of containerized application development Version control experience using Git Familiarity with unit testing , integration testing , and test-driven development (TDD) Strong problem-solving and debugging skills Nice to Have: Experience with cloud platforms (AWS, GCP, or Azure) Familiarity with Kubernetes and infrastructure as code Experience with message queues (Kafka, RabbitMQ, NATS) Exposure to DevOps practices and CI/CD pipelines Knowledge of monitoring and logging tools (Prometheus, Grafana, ELK) Job Types: Full-time, Permanent Pay: ₹50,000.00 - ₹80,000.00 per month Work Location: In person Speak with the employer +91 7293063429

Locations: Bengaluru | Gurgaon Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures—and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. What You'll Do As a part of BCG's X DELIVERY BUILD team, you will work closely with consulting teams, contributing your oversight while actively developing on projects. You will be responsible for architecting technical solutions and driving business decisions. Your project management skills will come in handy for client projects as well as internal products. You will also contribute technically through a deeper understanding of relevant processes and experience in practice areas to build high-quality and efficient solutions. You will collaborate with global stakeholders, including Project teams and clients, by serving as a thought partner to help clients realize the power of strategic AI solutions. You will have the opportunity to lead and mentor a team of software engineers. You will also be responsible for leading internal initiatives and contributing to the team's growth through recruitment. YOU'RE GOOD AT (ROLES & RESPONSIBILITIES) Get involved in all aspects of web-development by playing a critical role in gathering requirements, scoping, estimation, design, planning, development, and deployment. Design and develop the overall web architecture, built for performance and scalability. Provide solutions to business problems and translate them into technically feasible solutions. Proactively identify risks and suggest solutions pertaining to the Frontend, Backend and Infrastructure topics. Lead and oversee project teams, comprising Software and Data Engineers. Effectively communicate technical insights to stakeholders and project teams by skillfully synthesizing and presenting results, including creating persuasive PowerPoint slides and charts. Take accountability for the quality of deliverables. Continuously help in developing best practices for the team to implement. Demonstrate the ability to review and approve code confidently, and actively seeking project opportunities through internal connections and networking. Impart technical trainings to team members. Be flexible with working hours to work on critical issues and/or connect with client/project teams/clients when required. Take ownership of internal non-project initiatives related to software development, ensuring their successful planning and execution. Contribute actively to the recruitment initiative by taking interviews, providing inputs on how to improve the overall recruitment process and experience for candidates. Communicate confidently and deliver messages in a concise manner with strong and effective written and verbal communication. Take thoughtful and logical decisions that are in the best interest of the team. Ability to take ownership of the escalations, assist in finding the root cause and implementation of the mitigation steps What You'll Bring Bachelor's / Master's degree in Computer Science engineering / Technology or equivalent 7 - 9 years of experience in Software Engineering. Good experience in designing scalable systems. End to end experience in coding, deployment, managing and monitoring for enterprise solutions. Expected technical skills: Python with Flask and Django, NodeJS, Java SpringBoot. Knowledge of two backend languages is mandatory. React, Angular, JavaScript, HTML5 and CSS3 Leveraging SQL-Postgres for best performance Proficient with version control tools such as GitHub Excellent understanding of messaging queue such as Kafka/Redis/RabbitMQ. CI/CD, DevOps tools Microservices, Docker, Kubernetes, and Terraform. Strong database skills in Postgres, Snowflake, Azure, SQL server Cloud infrastructure architecture design (AWS, Azure, GCP) and deployment OOPs concepts, design patterns, responsive UI and Unit testing frameworks like Mocha, Jest, Jasmine Knowledge of Bootstrap or Material UI or And Design. Knowledge of UI component libraries to produce high-quality production apps following a high-fidelity design and a specification. Track record of designing, developing, and supporting highly scalable, responsive web applications and services. Understanding of UI integration with REST APIs. React Native, Mobile app development and Flutter is considered as a plus. Strong problem-solving skills and willingness to deep dive to get the desired output. Understanding and desire to work in an Agile fast paced environment. Excellent written and verbal communication skills. Able to work effectively with cross functional teams and with senior stakeholders. Consulting experience will be considered a plus. Prior experience in developing HLDs and LLDs. Experience of DevOps implementation across the full stack cycle. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.

Job Title: Intermediate Backend Developer Location: Mumbai Experience: 2-4 yrs Responsibilities - Develop, test, and maintain backend services using Node.js and MongoDB. - Build reusable code and libraries for future use, ensuring maintainability and scalability. - Optimize backend applications for maximum speed, performance, and scalability. - Design and implement APIs and services that integrate with various AWS services, including S3, CloudFront, and EC2. - Implement security and data protection strategies in compliance with best practices. - Work with message queues like RabbitMQ or BullMQ for asynchronous job processing. - Collaborate with frontend developers and other team members to integrate front-end and back-end services. - Develop and maintain documentation for the codebase and APIs, ensuring clarity for team members and future use. - Participate in the development of microservices architecture for scalable systems. - Work closely with DevOps to ensure smooth deployment, monitoring, and troubleshooting of backend services. - Ensure the application complies with best practices in security, performance, and scalability. Skills And Qualifications - Node.js: 2+ years of experience building and maintaining backend services using Node.js. - MongoDB: Proficiency in MongoDB, including data modeling and query optimization. - AWS Services: Hands-on experience with AWS services like S3, CloudFront, and EC2 for deploying and managing backend applications. - Unix/Linux: Hands-on experience with Unix/Linux environments, including shell scripting for server management. - Queues: Experience working with message queues like RabbitMQ or BullMQ for managing background jobs and tasks. - API Development: Proficiency in building RESTful APIs. - Version Control: Experience using Git in collaborative team environments. - Familiarity with Tools: Familiarity with tools like Postman for API testing, Redis Insight, MongoDB Compass, and Cyberduck for file transfers. - Soft Skills: Problem-solving skills, effective communication, and ability to work collaboratively in a team. Plus Points - NestJS: Extensive hands-on experience with the NestJS framework will be highly preferred. - Email Providers: Experience with email providers such as AWS SES or SendGrid. - Redis: Practical experience using Redis for queuing or caching purposes. - WebSockets: Hands-on experience implementing real-time communication using WebSockets. - Coding Patterns: Knowledge of coding patterns like Emitter or Observer. - RxJS/Event Emitters: Familiarity with RxJS or event emitters for reactive or event-driven programming. - OWASP: Understanding of OWASP security principles. - Microservices: Experience working with or developing microservices architecture for scalable systems. - Documentation: Ability to document codebases and APIs effectively for future maintainability and scalability. Job Type: Full-time Pay: ₹400,000.00 - ₹900,000.00 per year Benefits: Paid sick time Schedule: Day shift Ability to commute/relocate: Mumbai, Maharashtra: Reliably commute or planning to relocate before starting work (Preferred) Experience: JavaScript: 2 years (Preferred) Node.js: 2 years (Required)

Location: Noida, Uttar Pradesh, India Job ID: R0098886 Date Posted: 2025-07-07 Company Name: HITACHI INDIA PVT. LTD Profession (Job Category): Other Job Schedule: Full time Remote: No Job Description: Job Title: Solution Architect Designation : Senior Company: Hitachi Rail GTS India Location: Noida, UP, India Salary: As per Industry Company Overview: Hitachi Rail is right at the forefront of the global mobility sector following the acquisition. The closing strengthens the company's strategic focus on helping current and potential Hitachi Rail and GTS customers through the sustainable mobility transition – the shift of people from private to sustainable public transport, driven by digitalization. Position Overview: We are looking for a Solution Architect that will be responsible for translating business requirements into technical solutions, ensuring the architecture is scalable, secure, and aligned with enterprise standards. Solution Architect will play a crucial role in defining the architecture and technical direction of the existing system. you will be responsible for the design, implementation, and deployment of solutions that integrate with transit infrastructure, ensuring seamless fare collection, real-time transaction processing, and enhanced user experiences. You will collaborate with development teams, stakeholders, and external partners to create scalable, secure, and highly available software solutions. Job Roles & Responsibilities: Architectural Design : Develop architectural documentation such as solution blueprints, high-level designs, and integration diagrams. Lead the design of the system's architecture, ensuring scalability, security, and high availability. Ensure the architecture aligns with the company's strategic goals and future vision for public transit technologies. Technology Strategy : Select the appropriate technology stack and tools to meet both functional and non-functional requirements, considering performance, cost, and long-term sustainability. System Integration : Work closely with teams to design and implement the integration of the AFC system with various third-party systems (e.g., payment gateways, backend services, cloud infrastructure). API Design & Management : Define standards for APIs to ensure easy integration with external systems, such as mobile applications, ticketing systems, and payment providers. Security & Compliance : Ensure that the AFC system meets the highest standards of data security, particularly for payment information, and complies with industry regulations (e.g., PCI-DSS, GDPR). Stakeholder Collaboration : Act as the technical lead during project planning and discussions, ensuring the design meets customer and business needs. Technical Leadership : Mentor and guide development teams through best practices in software development and architectural principles. Performance Optimization : Monitor and optimize system performance to ensure the AFC system can handle high volumes of transactions without compromise. Documentation & Quality Assurance : Maintain detailed architecture documentation, including design patterns, data flow, and integration points. Ensure the implementation follows best practices and quality standards. Research & Innovation : Stay up to date with the latest advancements in technology and propose innovative solutions to enhance the AFC system. Skills (Mandatory): DotNet (C#), C/C++, Java, ASP.NET Core (C#), Angular, OAuth2 / OpenID Connect (Authentication & Authorization) JWT (JSON Web Tokens) Spring Cloud, Docker, Kubernetes, Relational Databases (MSSQL) Data Warehousing SOAP/RESTful API Design, Redis (Caching & Pub/Sub) Preferred Skills (Good to have): Python, Android SSL/TLS Encryption OWASP Top 10 (Security Best Practices) Vault (Secret Management) Keycloak (Identity & Access Management) Swagger (API Documentation) NoSQL Databases, GraphQL, gRPC, OpenAPI, Istio, Apache Kafka, RabbitMQ, Consul, DevOps & CI/CD Tools Tools & Technologies: UML (Unified Modeling Language) Lucidchart / Draw.io (Diagramming) PlantUML (Text-based UML generation) C4 Model (Software architecture model), Enterprise Architect (Modeling), Apache Hadoop / Spark (Big Data), Elasticsearch (Search Engine), Apache Kafka (Stream Processing), TensorFlow / PyTorch (Machine Learning/AI) Education: Bachelor's or Master’s degree in Computer Science, Information Technology, or a related field. Experience Required: 12+ years of experience in solution architecture or software design. Proven experience with enterprise architecture frameworks (e.g., TOGAF, Zachman). Strong understanding of cloud platforms (AWS, Azure, or Google Cloud). Experience in system integration, API design, microservices, and SOA. Familiarity with data modeling and database technologies (SQL, NoSQL). Strong communication and stakeholder management skills. Preferred: Certification in cloud architecture (e.g., AWS Certified Solutions Architect, Azure Solutions Architect Expert). Experience with DevOps tools and CI/CD pipelines. Knowledge of security frameworks and compliance standards (e.g., ISO 27001, GDPR). Experience in Agile/Scrum environments. Domain knowledge in [insert industry: e.g., finance, transportation, healthcare]. Soft Skills: Analytical and strategic thinking. Excellent problem-solving abilities. Ability to lead and mentor cross-functional teams. Strong verbal and written communication.

Inbest is a rapidly scaling fintech company delivering end-to-end solutions in Tax, Insurance, and Investment advisory. We’re building a robust in-house tech ecosystem powering our web platform, internal portals, mobile apps, and CRM tools. Join a fast-moving, product-led team that's reshaping how financial services work in India. Role Overview We are looking for a passionate Software Developer with strong hands-on experience in the MERN stack (MongoDB, Express.js, React.js, Node.js). You will play a critical role in building backend services, developing websites, and maintaining scalable systems for both customer-facing and internal tools. Key Responsibilities - Design, develop, and maintain scalable backend services and REST APIs using Node.js and Express.js - Implement Basic CRUD Operations and manage user authentication, authorization and secure API access. - Design and optimize MongoDB schemas and queries. - Collaborate with frontend developers to integrate APIs into React-based UIs. - Work on the company’s core web platform, admin dashboards, and service modules. - Integrate third-party APIs and internal services. - Handle file/document uploads securely with metadata storage. - Ensure high performance, security, and scalability of backend services. - Monitor and optimize system performance , uptime and resource usage. - Participate in code reviews, documentation, and agile sprint planning - Collaborate cross-functionally with product, design, and operations teams - Implement inter-service communication protocols, ensuring data consistency and access control between services. - Maintain clear and comprehensive documentation for Project , code, systems and Workflows. Required Skills - Minimum 1-2 years of hands-on relevant experience in Backend development & website development. - strong proficiency in JavaScript. - Strong Understanding of RESTful API design and implementation using Node.js, Express.js, and MongoDB. - Solid understanding of MongoDB and data modeling. - Experience with React.js for frontend integrations. - Strong understanding of RESTful API architecture and JSON data structures. - Hands-on experience managing RBAC, user roles, and data-level permissions. - Understanding of microservices architecture, secure service-to-service communication and service boundaries. - Ability to write clean, modular, well-documented code. - Comfortable working in a fast-paced, team-oriented environment. - Familiarity with Git & Github, branching strategies, and code reviews. - Knowledge of DevOps practices (basic CI/CD, containerization) & cloud services (AWS) is a plus. Good to Have (Not Mandatory) - Experience with AWS, Docker & CI/CD pipelines (Github Actions) - Basic knowledge of Nginx, Redis, RabbitMQ/Kafka. - Familiarity with authentication flows (JWT, OAuth). - Knowledge of frontend frameworks like Next.js. - Experience in microservices architecture. How to Apply Send your resume and GitHub/portfolio links to: admin.inbest@inbestnow.com Contact us: 8981214333 | 9903921999 Visit: www.inbestnow.com Location: On-site– Kolkata, India Type: Full-time Experience: Minimum 1-2 Years of hands-on experience Start Date: Immediate joiner Job Type: Full-time Pay: ₹15,000.00 - ₹25,000.00 per month Benefits: Health insurance Schedule: Day shift Work Location: In person

Indore | 10/Jul/2025 About the job About the Role: We are looking for a passionate and results-driven Python Developer to join our development team. As a Python Developer, you will be responsible for building scalable backend services, APIs, and data processing systems that power our applications and platforms. Responsibilties Design, develop, test, and maintain high-quality backend solutions using Python. Build and maintain RESTful APIs and services. Integrate third-party services and databases. Write reusable, testable, and efficient code. Collaborate with front-end developers, designers, and product managers to deliver robust applications. Troubleshoot and debug applications. Optimize performance, scalability, and security of the application. Participate in code reviews and follow best software development practices.. Required Qualification Bachelor’s degree in Computer Science, Engineering, or a related field. 3+ years of hands-on experience in Python development. Strong understanding of Python frameworks such as Django, Flask, or FastAPI. Experience with SQL and NoSQL databases like PostgreSQL, MySQL, MongoDB, etc. Familiar with Large Language Model (LLM) technologies and their applications. Proficiency in working with version control tools like Git. Familiarity with API development and integration. Strong problem-solving and debugging skills. Knowledge of unit testing and CI/CD pipelines. Good knowledge of Copilot and cursor AI Preferred Skills (Good to Have): Hands-on experience with React.js and Vue.js. Experience with cloud platforms like AWS, Azure, or GCP. Understanding of Docker, Kubernetes, and containerization. Exposure to message queues (e.g. RabbitMQ, Kafka). Familiarity with front-end technologies (HTML, CSS, JavaScript) is a plus.. Skills OOP CoreJava Multithreading Spring Hibernate Microservices Docker Indore, On-site | Full Time

Roles & Responsibility: Develop and maintain front-end website architecture, user interactions, and responsive design across platforms (web, mobile, WhatsApp). Develop and maintain scalable applications, servers, databases, and RESTful APIs. Additionally, should be good with UNIT testing, Database Concepts and Application Architecture. Work with graphic designers to enhance user experience and implement intuitive interfaces. Ensure application security, data protection, and regulatory compliance. Support and optimize infrastructure on AWS. Maintain best practices, conduct code reviews, and manage CI/CD pipelines. Familiar with SDLC and optimized development. Technical Skills At least 4 years of Full Stack experience React.js. Should be familiar with micro frontend. Node.js and/or Python MongoDB, PostgreSQL or any SQL based database. Candidate should have good knowledge of Database Concept like Stored Procedures, View/Materialized View, Triggers. RabbitMQ, Kafka, ActiveMQ AWS (preferred), Docker, Kubernetes, Microservices, Serverless Architecture Git/Jenkin Nice to Have: Previous BFSI or fintech lending platforms experience Understanding of AI/ML integration in fintech platforms Familiarity with Agile tools (JIRA) Familiarity with compliance automation and regulatory frameworks Implement predictive analytics, automated decision-making, fraud detection, and chatbot functionalities. Location: Mumbai (Work from office only) Availability: Should be able to join Immediately or within 30 days on selection Job Type: Full-time Pay: ₹1,500,000.00 - ₹2,500,000.00 per year Ability to commute/relocate: Mumbai, Maharashtra: Reliably commute or planning to relocate before starting work (Required) Application Question(s): Post selection can you join Immediately or within 30 days? Experience: MERN Stack: 4 years (Required) Work Location: In person

We are seeking a passionate and experienced Java/Kotlin Developer with 3–5 years of experience to join our growing E-commerce engineering team. You will be responsible for building scalable, high-performance microservices for a modern, decoupled E-commerce platform. Experience with commerce platforms like Shopify or commercetools is a strong plus. Job Description: Key Responsibilities: Design, develop, and maintain microservices using Java and Kotlin. Build and integrate services in a de-coupled architecture to support external systems like payment gateways, inventory, and order management. Collaborate with product managers, architects, and other developers to deliver high-quality features. Implement and consume RESTful APIs and event-driven architectures (e.g., Kafka, RabbitMQ). Ensure code quality through unit testing, integration testing, and code reviews. Optimize application performance and scalability for high-traffic E-commerce environments. Work in an Agile/Scrum team and participate in sprint planning, reviews, and retrospectives. Required Skills & Qualifications: 3–5 years of experience in backend development using Java and/or Kotlin. Strong understanding of microservices architecture and domain-driven design (DDD). Experience with Spring Boot, Spring Cloud, or similar frameworks. Proficiency in working with REST APIs, JSON, and message queues. Experience with SQL and NoSQL databases (e.g., PostgreSQL, MongoDB). Familiarity with CI/CD pipelines, Docker, and Kubernetes. Solid understanding of software engineering best practices and design patterns. Preferred Qualifications: Hands-on experience with E-commerce platforms like Shopify, commercetools, or Magento. Knowledge of headless commerce and API-first platforms. Experience with cloud platforms (AWS, GCP, or Azure). Exposure to GraphQL, gRPC, or serverless architectures. Location: Pune Brand: Merkle Time Type: Full time Contract Type: Permanent

Principal Software Engineer (P4) Experience: 8 to 13 years Must Have skills: Go Golang, Python, Kubernetes, Any Public cloud Job Responsibilities Manage, improve, and maintain our tools and services stack across the organization and deliver value incrementally Maintain and enhance our current set of managed services, which include Kubernetes, MongoDB, MongoDB Atlas, MySQL, Elasticsearch, Redis, RabbitMQ, and PostgreSQL Build mature applications and services to enable Product Development teams through in-house self-service portal Collaborate with Development and Engineering teams to understand gaps and requirements while meeting expectations Architect and implement solutions for internal self-service offering technical architecture diagrams and user guides for internal administrators, operators, and users Join team meetings daily and as needed and collaborate with peers and teams within the organization Troubleshoot issues by reviewing information at hand, develop detailed implementation plan with automation and test details, and mentoring team members Be on a rotational on-call schedule with the team Perform other duties as assigned by a supervisor/manager or team lead depending on severity and business needs Occasional travel as necessary Basic Qualifications: Bachelors degree in computer science, Engineering, Software Engineering, or a related field, however equivalent work experience in similar position may be substituted for educational requirements. 8+ years of experience building and/or configuring Cloud infrastructure and services (on-prem or public) through code, such as Terraform. 8+ years of experience with Cloud Native solutions (Google Cloud Platform, Amazon Web Services, and/or Azure). 8+ years of experience with at least one programming language (e.g. Java/Golang/Ruby/Python). Experience working with container technologies (e.g. Docker, Kubernetes). Experience with one or more distributed version control/Source Code Management (SCM) technology and its workflows like git and the understanding of the GitOps/DevOps mindset. Experience developing, deploying, and maintaining highly availableservicesat scale. Knowledge of Infrastructure test automation. Experience with web technologies utilizing Microservices, SOA patterns and REST. UKG is proud to be an equal opportunity employer and is committed to promoting diversity and inclusion in the workplace, including the recruitment process. Disability Accommodation For individuals with disabilities that need additional assistance at any point in the application and interview process, please email UKGCareers@ukg.com

📌 Job Title: Backend Developer – Java Microservices 📍 Location: Chandigarh 💼 Experience Required: 3 to 6 Years 🕒 Notice Period: 0-15 Days Summary: We are seeking a highly skilled and passionate Backend Developer with expertise in Java, Spring Boot , and Microservices architecture to join our engineering team. Key Responsibilities: Develop RESTful APIs and microservices using Java 11+ and Spring Boot. Write clean, scalable, and maintainable backend code. Collaborate with front-end, QA, and DevOps teams for end-to-end delivery. Ensure application performance, quality, and reliability. Troubleshoot, debug, and resolve production issues. Follow best practices in coding, testing, and deployment. Participate in code reviews and architecture discussions. Technical Skills Required: Strong programming skills in Java (Java 8 or above) . In-depth experience with Spring Boot , Spring MVC , Spring Cloud . Sound understanding of Microservices Architecture and design patterns. Proficiency in RESTful API development and integration . Experience with ORM frameworks like Hibernate or JPA. Familiarity with SQL/NoSQL databases . Exposure to CI/CD pipelines and tools like Jenkins, Git, Docker. Experience with Unit Testing Frameworks (JUnit, Mockito, etc.). Basic understanding of containerization and Kubernetes is a plus. Knowledge of Agile/Scrum development methodologies. Nice to Have: Experience working with cloud platforms such as AWS, Azure, or GCP. Familiarity with API security standards like OAuth2, JWT. Exposure to Kafka , RabbitMQ, or similar messaging systems. Qualifications Bachelor's or master’s degree in computer science, Information Technology , or related field. 3 to 6 years of relevant experience in Java backend development.

About SimplyFI: SimplyFI is product based fast-growing fintech company building blockchain and AI-powered digital solutions for simplifying complex trade finance and supply chain operations. Our mission is to digitize, automate, and secure financial workflows across global enterprises. Job Summary: We are looking for a passionate and skilled Python Developer with 1–2 years of hands-on experience to join our engineering team. The ideal candidate will have a strong understanding of back-end development, message queues (RabbitMQ), and SQL databases. You will be working on building scalable, high-performance applications that solve real-world problems in fintech and trade automation. Key Responsibilities: Develop and maintain backend services and APIs using Python. Work with RabbitMQ for implementing asynchronous message queues. Write efficient SQL queries and optimize existing database interactions. Collaborate with frontend developers, DevOps, and product teams for end-to-end integration. Write clean, modular, and testable code. Participate in code reviews and contribute to improving development processes. Troubleshoot, debug, and upgrade existing systems. Required Skills: Strong proficiency in Python (Flask or FastAPI preferred). Hands-on experience with RabbitMQ or any message queuing system. Solid understanding of SQL and experience with relational databases (e.g., PostgreSQL, MySQL). Familiarity with RESTful API design and integration. Understanding of Git version control. Knowledge of software design patterns and best practices. Preferred Skills (Good to Have): Experience with SQL databases like MongoDB. Exposure to containerization (Docker). Basic understanding of microservices architecture. Familiarity with cloud platforms (AWS/Azure/GCP).

Glowingbud is seeking a Senior Backend Developer with 7+ years of experience to develop and maintain high-performance APIs and scalable backend systems. The ideal candidate must have expertise in Node.js and MongoDB, experience in Multi-tenant SaaS applications, and a strong understanding of microservices architecture. Additionally, experience handling large-scale data and high-traffic production systems is crucial. This role requires close collaboration with frontend developers, DevOps, and product teams to build robust, scalable, and efficient backend solutions. About Company Glowingbud is a rapidly growing eSIM services platform that simplifies connectivity with powerful APIs, robust B2B and B2C interfaces, and seamless integrations with Telna. Our platform enables global eSIM lifecycle management, user onboarding, secure payment systems, and scalable deployments. Recently acquired by Telna (https://www.telna.com), we are expanding our product offerings and team to meet increasing demand and innovation goals. Key Responsibilities API Development: Design, develop, optimize, and maintain high-performance RESTful APIs using Node.js and MongoDB. Scalability & Performance: Optimize backend performance for handling large data volumes and high-traffic production environments. Multi-Tenant SaaS: Develop and maintain multi-tenant architectures ensuring data policies, security, scalability, and efficiency. Microservices Architecture: Design and implement microservices-based solutions, ensuring modularity and maintainability. Database Management: Proficiently manage and optimize MongoDB, including indexing, aggregation, and performance tuning. System Engineering: Work with DevOps to ensure scalability, reliability, and security of backend systems. Product Development: Collaborate with product teams to build long-term, scalable backend solutions. Code Quality & Security: Write clean, maintainable, and secure code following industry best practices. Enforce coding standards, conduct detailed code reviews. Monitoring & Debugging: Implement logging, monitoring, and debugging tools to ensure system reliability. Collaboration: Work closely with frontend teams and DevOps to ensure seamless API integrations and deployments. Qualifications 7+ years of experience in backend development with Node.js and MongoDB. Strong understanding of microservices architecture and system design principles. Experience in building and maintaining multi-tenant SaaS applications. Proven experience handling large-scale data and high-traffic production systems. Proficiency in MongoDB, including schema design, indexing strategies, and performance optimization. Experience with event-driven architecture and messaging queues (e.g., AWS SQS, RabbitMQ, Kafka). Knowledge of authentication and authorization mechanisms (JWT, AWS Cognito, SSO). Strong experience with API development best practices, security, and rate limiting. Familiarity with containerization (Docker, Kubernetes) and CI/CD pipelines. Proficiency in cloud services (AWS, GCP, or Azure) for backend infrastructure. Preferred Skills Experience with Redis, ElasticSearch, or other caching mechanisms. Knowledge of serverless architectures and cloud-native development. Exposure to REST / gRPC for API communication. Understanding of data streaming and real-time processing. Experience with NoSQL and relational database hybrid architectures. Familiarity with observability tools (Prometheus, Grafana, ELK Stack). Experience in automated testing for backend systems. Skills: multi-tenant saas applications,multi-tenant,rest,restful webservices,logging and monitoring tools,aws,api,ci/cd pipelines,database management,microservices,api development,microservices architecture,architecture,node.js,mongodb,design,containerization (docker, kubernetes),event-driven architecture,cloud services (aws, gcp, azure),authentication and authorization mechanisms

About Us MyRemoteTeam, Inc is a fast-growing distributed workforce enabler, helping companies scale with top global talent. We empower businesses by providing world-class software engineers, operations support, and infrastructure to help them grow faster and better. Job Title: Senior Java Spring Boot Developer Experience: 6+ Years Location: Mysore and Pune Job Description: We are seeking an experienced Senior Java Spring Boot Developer with 6+ years of hands-on experience in building scalable, high-performance microservices using Java, Spring Boot, and Spring JPA. The ideal candidate will have strong expertise in designing and developing RESTful APIs, microservices architecture, and cloud-native applications. As part of our team, you will work on enterprise-grade applications, collaborate with cross-functional teams, and contribute to the full software development lifecycle. Mandatory Skills: ✔ 6+ years of Java development (Java 8/11/17). ✔ Strong Spring Boot & Spring JPA experience. ✔ Microservices architecture (design, development, deployment). ✔ RESTful API development & integration. ✔ Database expertise (SQL/NoSQL – PostgreSQL, MySQL, MongoDB). ✔ Testing frameworks (JUnit, Mockito). ✔ Agile methodologies & CI/CD pipelines. Key Responsibilities: Design & Development: Develop high-performance, scalable microservices using Spring Boot. Design and implement RESTful APIs following best practices. Use Spring JPA/Hibernate for database interactions (SQL/NoSQL). Implement caching mechanisms (Redis, Ehcache) for performance optimization. Microservices Architecture: Build and maintain cloud-native microservices (Docker, Kubernetes). Integrate with message brokers (Kafka, RabbitMQ) for event-driven systems. Ensure fault tolerance, resilience, and scalability (Circuit Breaker, Retry Mechanisms). Database & Performance: Optimize database queries (PostgreSQL, MySQL, MongoDB). Implement connection pooling, indexing, and caching strategies. Monitor and improve application performance (JVM tuning, profiling). Testing & Quality Assurance: Write unit & integration tests (JUnit, Mockito, Test Containers). Follow TDD/BDD practices for robust code quality. Perform code reviews and ensure adherence to best practices. DevOps & CI/CD: Work with Docker, Kubernetes, and cloud platforms (AWS/Azure). Set up and maintain CI/CD pipelines (Jenkins, GitHub Actions). Automate deployments and monitoring (Prometheus, Grafana). Collaboration & Agile: Work in Agile/Scrum teams with daily standups, sprint planning, and retrospectives. Collaborate with frontend, QA, and DevOps teams for seamless delivery.