226 Lambda Jobs - Page 6

IMMEDIATE JOINERS & ALREADY SERVING NOTICE PERIOD PREFERRED IN ALL ROLES 1) Title: BFF JavaScript API Developer Position Type: Full Time/Contract Locations: Any location but Chennai/Bangalore preferable. Experience: 6+ Description: We're looking for a JavaScript-based API Developer/Engineer to help build and maintain APIs for a Backend for Frontend (BFF) application. The ideal candidate should have: Strong proficiency in JavaScript and Node.js Solid experience in designing and implementing RESTful and/or GraphQL APIs A good grasp of GraphQL schema , queries, and mutations Experience in integrating with various backend systems Ability to optimize performance and troubleshoot issues effectively Strong collaboration skills to work closely with both frontend and backend developers for smooth data integration *************************************************************************************** 2) Title: Java & Node.js Developer Position Type: Full Time Locations: Any client location with hybrid work model Experience - 7+ Years Description: Java + NodeJS skillset at India location. Requirement : Strong Java skills were necessary, along with node.js ***************************************************************************************** 3) Title: Senior Backend Developer Position Type: Full Time Locations: Any location but Chennai/Bangalore preferable. Experience : 6+ Description: Seeking a senior-level developer with strong experience in backend development, especially in building and supporting highly available, resilient, and performant systems. Should be a self-starter who can quickly get familiar with our codebase and begin contributing within a few days of onboarding, with the following technical skills: Strong proficiency in Java (8 or above), with a solid understanding of functional and asynchronous APIs Hands-on experience with Scala 2, and good understanding of reactive programming concepts Familiarity with Akka and Akka Streams Experience with messaging frameworks like Kafka, including handling advanced integration use cases Solid understanding of AWS services including DynamoDB, Neptune, Lambda, API Gateway, EC2, ECS Comfortable with DevOps and observability using CloudWatch logs, metrics, and traces

Design and development of cloud-hosted web applications for insurance industry from high-level architecture and network infrastructure to low-level creation of site layout, user experience, database schema, data structure, work-flows, graphics, unit testing, an end to end integration testing, etc. Working from static application mock-ups and wireframes, developing front-end user interfaces and page templates in HTML 5, CSS, SAAS, LESS TypeScript, bootstrap, Angular and third-party controls like Kendo UI/Infragistics. Proficiency in AWS services like Lambda, EC2, S3, and IAM for deploying and managing applications. Excellent programming skills in Python with the ability to develop, maintain, and debug Python-based applications. Develop, maintain, and debug applications using .NET Core and C#. Stay up to date with the latest industry trends and technologies related to PostgreSQL, AWS, and Python. Design and implement risk management business functionality and in-database analytics. Identify complex data problems and review related information to develop and evaluate options and design and implement solutions. Design and develop functional and responsive web applications by collaborating with other engineers in the Agile team. Develop REST API and understand WCF Services. Prepare documentations and specifications.

Seeking an AWS-certified professional with expertise in cloud platforms, serverless architecture, monitoring, and highly available systems to manage, optimize, and secure AWS infrastructure while leading and mentoring teams. Key Skills: - AWS Services: IAM, EC2, VPC, ELB/ALB, Auto Scaling, Lambda - AWS Managed Products: EKS, ECS, ECR, Route 53, SES, ElastiCache, RDS, Redshift - Cloud Platforms: Expertise in AWS infrastructure and services - Serverless Development Architecture - Operating Systems: Linux - Monitoring and Alerting: Implementing and improving monitoring stacks - Security: SSH, cloud connectivity, and security protocols - System Reliability: High availability, production systems, and configuration management - Automation and Scripting: Installing and enhancing scripts - Team Leadership: Mentoring and guiding teams on new technologies - Certifications: AWS Certified Solutions Architect, Developer, DevOps Engineer, SysOps Administrator

The ideal candidate for this position should have 5+ years of experience.Development in NodeJS and TypeScript AWS, Lambda, DynamoDB, Serverless, EventBridge, S3, Terraform, GraphQL. Responsibilities: Design, develop, and maintain server-side applications using Typescript and Node.js. Write clean, scalable, and well-documented code. Collaborate with cross-functional teams to define, design, and ship new features. Implement and maintain APIs for integration with front-end applications and external services. Optimize application performance, reliability, and scalability. Conduct code reviews and provide constructive feedback to team members. Troubleshoot and debug issues, and provide timely resolutions. Stay updated with the latest technologies and best practices in software development.

Key Responsibilities: Design, implement, and maintain cloud-based infrastructure on AWS. Manage and monitor AWS services, including EC2, S3, Lambda, RDS, CloudFormation, VPC, etc. Develop automation scripts for deployment, monitoring, and scaling using AWS services. Collaborate with DevOps teams to automate build, test, and deployment pipelines. Ensure the security and compliance of cloud environments using AWS security best practices. Optimize cloud resource usage to reduce costs while maintaining high performance. Troubleshoot issues related to cloud infrastructure and services. Participate in capacity planning and disaster recovery strategies. Monitor application performance and make necessary adjustments to ensure optimal performance. Stay current with new AWS features and tools and evaluate their applicability for the organization. Requirements: Bachelor's degree in Computer Science, Engineering, or a related field. Proven experience as an AWS Engineer or in a similar cloud infrastructure role. In-depth knowledge of AWS services, including EC2, S3, RDS, Lambda, VPC, CloudWatch, etc. Proficiency in scripting languages such as Python, Shell, or Bash. Experience with infrastructure-as-code tools like Terraform or AWS CloudFormation. Strong understanding of networking concepts, cloud security, and best practices. Familiarity with containerization technologies (e.g., Docker, Kubernetes) is a plus. Excellent problem-solving, analytical, and troubleshooting skills. Strong communication skills, both written and verbal. AWS certifications (AWS Certified Solutions Architect, AWS Certified DevOps Engineer, etc.) are preferred. Preferred Skills: Experience with serverless architectures and services. Knowledge of CI/CD pipelines and DevOps methodologies. Experience with monitoring and logging tools like CloudWatch, Datadog, or Prometheus. Knowledge in AWS FinOps

Responsibilities: Depending on your experience, interests and business needs, you will own the front-end, back-end, or full stack design and development of product features, building scale, efficiency, and differentiated customer experiences. Were looking for software engineers passionate about building software solutions end-to-end, have strong software development experience delivering at scale solutions, and systems design skills. You should have a demonstrated ability delivering within a DevOps delivery model from scoping requirements, requirement analysis, design, development, test, CI/CD, security implementation, and operational excellence with the ability to work cross-functionally with Product Managers, business stakeholders and other tech teams through the actual launch of the project. You should also have experience in communicating with users, other technical teams, and management to collect requirements, describe software product features, and technical designs. Leadership Principles: Bias for Action, Deliver Results Mandatory Requirements: The ideal candidate is interested in a career in software development and is looking to utilize and expand their coding skills and gain exposure to a wide variety of software applications. They must be detail oriented, have superior verbal and written communication skills, strong organizational skills, are able to work independently and can maintain professionalism under pressure. Preferred coding skills: Java, JavaScript and TypeScript. Other desired technical skills include python. AWS infrastructure experience. EC2, CloudWatch, lambda, networking side of AWS is required. A bachelors degree in Computer Science or equivalent degree is required Minimum 3 years of SDE experience is required Education or Certification: Any graduation

Responsibilities: Design and implement migration strategies for complex AWS workloads across regions Conduct detailed assessment of existing infrastructure and applications for migration planning Create and execute migration runbooks with minimal service disruption Implement infrastructure as code (IaC) using AWS CloudFormation/CDK Configure and optimize network connectivity between AWS Regions Monitor and optimize application performance during and after migrations Collaborate with application teams to ensure compatibility and resolve dependencies Document migration processes, configurations, and best practices Leadership Principles: Bias for Action, Deliver Results Mandatory Requirements: 3+ years of experience in systems engineering/cloud infrastructure 3+ years hands-on experience with AWS services and architecture Strong expertise in: EC2, VPC, Route 53, ELB, CloudFront Experience with infrastructure as code (AWS CDK,CloudFormation) Knowledge of networking concepts (TCP/IP, DNS, load balancing) Preferred skills: AWS Professional level certifications (Solutions Architect/DevOps Engineer) Experience with container orchestration (ECS, Lambda) Knowledge of CI/CD pipelines Experience with multi-region architectures Extensive experience with Linux/Unix environments Experience utilizing AWS cloud solutions in a DevOps environment Experience in automating, deploying, and supporting large-scale infrastructure Experience building services using AWS products and CDK Strong background with CI/CD pipelines and build processes Experience with container orchestration (EKS, ECS) Education or Certification: Any Graduation

Grade : 7 Purpose of your role This role sits within the ISS Data Platform Team. The Data Platform team is responsible for building and maintaining the platform that enables the ISS business to operate. This role is appropriate for a Lead Data Engineer capable of taking ownership and a delivering a subsection of the wider data platform. Key Responsibilities Design, develop and maintain scalable data pipelines and architectures to support data ingestion, integration and analytics. Be accountable for technical delivery and take ownership of solutions. Lead a team of senior and junior developers providing mentorship and guidance. Collaborate with enterprise architects, business analysts and stakeholders to understand data requirements, validate designs and communicate progress. Drive technical innovation within the department to increase code reusability, code quality and developer productivity. Challenge the status quo by bringing the very latest data engineering practices and techniques. Essential Skills and Experience Core Technical Skills Expert in leveraging cloud-based data platform (Snowflake, Databricks) capabilities to create an enterprise lake house. Advanced expertise with AWS ecosystem and experience in using a variety of core AWS data services like Lambda, EMR, MSK, Glue, S3. Experience designing event-based or streaming data architectures using Kafka. Advanced expertise in Python and SQL. Open to expertise in Java/Scala but require enterprise experience of Python. Expert in designing, building and using CI/CD pipelines to deploy infrastructure (Terraform) and pipelines with test automation. Data Security & Performance Optimization:Experience implementing data access controls to meet regulatory requirements. Experience using both RDBMS (Oracle, Postgres, MSSQL) and NOSQL (Dynamo, OpenSearch, Redis) offerings. Experience implementing CDC ingestion. Experience using orchestration tools (Airflow, Control-M, etc..) Bonus technical Skills: Strong experience in containerisation and experience deploying applications to Kubernetes. Strong experience in API development using Python based frameworks like FastAPI. Key Soft Skills: Problem-Solving:Leadership experience in problem-solving and technical decision-making. Communication:Strong in strategic communication and stakeholder engagement. Project Management:Experienced in overseeing project lifecycles working with Project Managers to manage resources.

Requirements 4+ years of overall experience in software development. Hands on experience in Python(Oops concepts) for 3+ years with extensive ability to write complex Python code. Hands on experience in AWS(Lambda, S3, EC2, Step function) for 2+ years. Knowledge of code versioning tools(GIT) and databases. Should have skill to work in JIRA workflows. Good to have experience in Azure. Should have good logical thinking. Strong analytical and debugging skills. Strong communication skills.

Job Description: Lead NodeJS Engineer Technical Skill Requirements: Nodejs + Express JS +Microservice Design Patterns + Typescript Unit Testing Jest, Karma AWS - DynamoDB, (S3, EC2, Lambda) CloudFormation or Terraform, API Gateway, CI/CD Role and Responsibilities: Managing the complete software development process from conception to deployment Maintaining and upgrading the software following deployment Managing the end-to-end life cycle to produce software and application. Overseeing and guiding the analysing, writing, building, and deployment of software Overseeing the automated testing and providing feedback to management during the development process Modifying and testing changes to previously developed programs Required Skills: 8+ years of experience in developing enterprise level applications, using Nodejs, Typescript, JavaScript, HTML, CSS. Worked on Rest API Should have minimum 1 years of team handling experience. Excellent verbal and written communication and collaboration skills to effectively communicate with both business and technical teams. Comfortable working in a fast-paced, result-oriented environment. Experience in handling team members. Please share your updated cv on Avani.Vibhute@rigvedtech.com

THE OPPORTUNITY We are seeking a highly skilled and versatile Frontend Developer with expertise in building intuitive and responsive web and mobile applications, coupled with a deep understanding of Cloud Computing and Machine Learning. This role requires a blend of technical proficiency in frontend development, cloud services (specifically AWS), and a strong grasp of Python-based machine learning libraries. As a part of our dynamic development team, you will contribute to designing and developing cutting-edge applications that deliver seamless user experiences, while also leveraging cloud infrastructure and machine learning capabilities. KEY RESPONSIBILITIES: Full-Stack Development: o Design and develop responsive and interactive web and mobile applications (iOS and Android). o Ensure high performance, cross-browser compatibility, and consistent user experience. o Write clean, maintainable, and efficient code using frontend technologies (HTML5, CSS3, JavaScript, TypeScript, React, React Native, Angular, or Vue.js). o Collaborate closely with UI/UX designers to create visually appealing and user-friendly interfaces. o Optimize applications for maximum speed and scalability across multiple platforms. Cloud Computing & AWS Services: o Design, develop, and deploy cloud-based applications and services using AWS (Amazon Web Services). o Manage and configure cloud infrastructure, including EC2, Lambda, S3 storage, API Gateway, and other relevant AWS services. o Implement serverless architecture, data storage, and scaling solutions. o Ensure cloud security, performance monitoring, and disaster recovery protocols are in place. Machine Learning: o Work with Python-based machine learning libraries (e.g., TensorFlow, Keras, PyTorch, Scikit-learn, Pandas, NumPy, dlib, face_recognition) to build and integrate machine learning models into applications. o Collaborate with data science and backend teams to deploy ML models and facilitate seamless integration into web and mobile apps. o Conduct data preprocessing, model training, and model validation to optimize performance. o Stay updated with the latest trends in machine learning and cloud technologies. Collaboration & Continuous Improvement: o Work closely with cross-functional teams, including backend developers, data scientists, product managers, and designers, to deliver high-quality products. o Participate in code reviews, debugging, and performance optimization. o Contributes to the continuous improvement of the development of lifecycle, implementing best practices for both frontend development and cloud-based systems. Required Skills and Qualifications: Proven experience in frontend development with a strong portfolio of web and mobile applications. Expertise in AWS services such as EC2, Lambda, S3 Glacier storage, RDS, and API Gateway. Proficiency in modern JavaScript frameworks like React, React Native, Angular, or Vue.js. Strong command of Python and familiarity with machine learning libraries such as TensorFlow, Keras, PyTorch, Scikit-learn, Pandas, and NumPy. Hands-on experience with cloud computing platforms, specifically AWS. Familiarity with CI/CD pipelines and version control (Git, GitHub/GitLab). Knowledge of web hosting and deploying web applications in production environments. Understanding of responsive design and mobile-first development principles. Strong problem-solving skills, ability to debug complex issues, and optimize code for performance. Excellent communication skills, with the ability to collaborate effectively in a team environment. Preferred Qualifications: Experience with mobile app development (iOS/Android) using frameworks like React Native or Flutter. Knowledge of containerization (Docker) and orchestration tools (Kubernetes). Familiarity with DevOps practices and cloud-native application architectures. Knowledge of database management systems (SQL and NoSQL). Experience with machine learning model deployment in production environments. AWS Certified Cloud Practitioner Good knowledge of Python and its machine learning libraries.

Role Overview We are seeking an experienced Data Engineer with 7-10 years of experience to design, develop, and optimize data pipelines while integrating machine learning (ML) capabilities into production workflows. The ideal candidate will have a strong background in data engineering, big data technologies, cloud platforms, and ML model deployment. This role requires expertise in building scalable data architectures, processing large datasets, and supporting machine learning operations (MLOps) to enable data-driven decision-making. Key Responsibilities Data Engineering & Pipeline Development Design, develop, and maintain scalable, robust, and efficient data pipelines for batch and real-time data processing. Build and optimize ETL/ELT workflows to extract, transform, and load structured and unstructured data from multiple sources. Work with distributed data processing frameworks like Apache Spark, Hadoop, or Dask for large-scale data processing. Ensure data integrity, quality, and security across the data pipelines. Implement data governance, cataloging, and lineage tracking using appropriate tools. Machine Learning Integration Collaborate with data scientists to deploy, monitor, and optimize ML models in production. Design and implement feature engineering pipelines to improve model performance. Build and maintain MLOps workflows, including model versioning, retraining, and performance tracking. Optimize ML model inference for low-latency and high-throughput applications. Work with ML frameworks such as TensorFlow, PyTorch, Scikit-learn, and deployment tools like Kubeflow, MLflow, or SageMaker. Cloud & Big Data Technologies Architect and manage cloud-based data solutions using AWS, Azure, or GCP. Utilize serverless computing (AWS Lambda, Azure Functions) and containerization (Docker, Kubernetes) for scalable deployment. Work with data lakehouses (Delta Lake, Iceberg, Hudi) for efficient storage and retrieval. Database & Storage Management Design and optimize relational (PostgreSQL, MySQL, SQL Server) and NoSQL (MongoDB, Cassandra, DynamoDB) databases. Manage and optimize data warehouses (Snowflake, BigQuery, Redshift, Databricks) for analytical workloads. Implement data partitioning, indexing, and query optimizations for performance improvements. Collaboration & Best Practices Work closely with data scientists, software engineers, and DevOps teams to develop scalable and reusable data solutions. Implement CI/CD pipelines for automated testing, deployment, and monitoring of data workflows. Follow best practices in software engineering, data modeling, and documentation. Continuously improve the data infrastructure by researching and adopting new technologies. Required Skills & Qualifications Technical Skills: Programming Languages: Python, SQL, Scala, Java Big Data Technologies: Apache Spark, Hadoop, Dask, Kafka Cloud Platforms: AWS (Glue, S3, EMR, Lambda), Azure (Data Factory, Synapse), GCP (BigQuery, Dataflow) Data Warehousing: Snowflake, Redshift, BigQuery, Databricks Databases: PostgreSQL, MySQL, MongoDB, Cassandra ETL/ELT Tools: Airflow, dbt, Talend, Informatica Machine Learning Tools: MLflow, Kubeflow, TensorFlow, PyTorch, Scikit-learn MLOps & Model Deployment: Docker, Kubernetes, SageMaker, Vertex AI DevOps & CI/CD: Git, Jenkins, Terraform, CloudFormation Soft Skills: Strong analytical and problem-solving abilities. Excellent collaboration and communication skills. Ability to work in an agile and cross-functional team environment. Strong documentation and technical writing skills. Preferred Qualifications Experience with real-time streaming solutions like Apache Flink or Spark Streaming. Hands-on experience with vector databases and embeddings for ML-powered applications. Knowledge of data security, privacy, and compliance frameworks (GDPR, HIPAA). Experience with GraphQL and REST API development for data services. Understanding of LLMs and AI-driven data analytics.

.....are days'We are hiring passionate DevOps professionals with strong Kubernetes and AWS experience. Immediate joiners or candidates with 15 days notice preferred. Key Responsibilities: Administer and manage Kubernetes clusters (CKA preferred) Implement Infrastructure as Code using Terraform or CloudFormation Automate CI/CD pipelines using Jenkins, GitOps, and Helm charts Manage and optimize AWS services: ALB/NLB, Lambda, RDS, S3, Route 53, API Gateway, CloudFront Monitor systems with tools like Datadog, Prometheus Apply security best practices and ensure cost optimization Collaborate with Agile teams to deliver scalable and reliable infrastructure Required Skills: Kubernetes (Must) AWS (EC2, RDS, S3, Lambda, etc.) Docker, Helm, Jenkins, Git Terraform or CloudFormation MongoDB Atlas (Nice to have) Monitoring: Prometheus, Datadog Why Join Us? Competitive pay (up to 22 LPA) Opportunity to work on cutting-edge cloud-native tech Fast-paced, agile environment Immediate onboarding

Data Engineer with Python development experience Experience: 3+ Years Mode: Hybrid (2-3 days/week) Location: Hyderabad Key Responsibilities Develop, test, and deploy data processing pipelines using AWS Serverless technologies such as AWS Lambda, Step Functions, DynamoDB, and S3. Implement ETL processes to transform and process structured and unstructured data eiciently. Collaborate with business analysts and other developers to understand requirements and deliver solutions that meet business needs. Write clean, maintainable, and well-documented code following best practices. Monitor and optimize the performance and cost of serverless applications. Ensure high availability and reliability of the pipeline through proper design and error handling mechanisms. Troubleshoot and debug issues in serverless applications and data workows. Stay up-to-date with emerging technologies in the AWS and serverless ecosystem to recommend improvements. Required Skills and Experience 3-5 years of hands-on Python development experience, including experience with libraries like boto3, Pandas, or similar tools for data processing. Strong knowledge of AWS services, especially Lambda, S3, DynamoDB, Step Functions, SNS, SQS, and API Gateway. Experience building data pipelines or workows to process and transform large datasets. Familiarity with serverless architecture and event-driven programming. Knowledge of best practices for designing secure and scalable serverless applications. Prociency in version control systems (e.g., Git) and collaboration tools. Understanding of CI/CD pipelines and DevOps practices. Strong debugging and problem-solving skills. Familiarity with database systems, both SQL (e.g., RDS) and NoSQL (e.g., DynamoDB). Preferred Qualications AWS certications (e.g., AWS Certied Developer Associate or AWS Certied Solutions Architect Associate). Familiarity with testing frameworks (e.g., pytest) and ensuring test coverage for Python applications. Experience with Infrastructure as Code (IaC) tools such as AWS CDK, CloudFormation. Knowledge of monitoring and logging tools . Apply for Position

We are looking for a Cloud Application Developer. Youll make a difference by: Having proficiency in development of backend(python) and smaller frontend applications(angular) using on our AWS-based managed cloud environment. Having hands-on experience with Contribution to development of larger composite applications. Having Knowledge in Operating and troubleshooting existing applications. Having ability to Break down and implement high level concepts created by architects and PO. Having exposure of AWS cloud platform services (Lambda, ECS, S3, RDS/DynamoDB), certification is a plus. Having Practical experience in setting up and maintaining CI/CD pipelines, containerization (Docker), and version control systems (Git). Having Proficiency in full-stack technologies (front-end Angular), databases, APIs) Youll win us over by: Holding a graduate BE / B.Tech / MCA/M.Tech/M.Sc with good academic record. 5+ Years of Experience in Software development, with a focus on Python. Familiar with agile development processes and principles. Optional skills: C#, Kubernetes, DevOps engineering, Infrastructure-as-Code

Experience: 10+ Years Job Description: Role Overview: We are seeking an experienced AWS Data & Analytics Architect with a strong background in delivery and excellent communication skills. The ideal candidate will have over 10 years of experience and a proven track record in managing teams and client relationships. You will be responsible for leading data modernization and transformation projects using AWS services. Key Responsibilities: Lead and architect data modernization/transformation projects using AWS services. Manage and mentor a team of data engineers and analysts. Build and maintain strong client relationships, ensuring successful project delivery. Design and implement scalable data architectures and solutions. Oversee the migration of large datasets to AWS, ensuring data integrity and security. Collaborate with stakeholders to understand business requirements and translate them into technical solutions. Ensure best practices in data management and governance are followed. Required Skills and Experience: 10+ years of experience in data architecture and analytics. Hands-on experience with AWS services such as Redshift, S3, Glue, Lambda, RDS, and others. Proven experience in delivering 1-2 large data migration/modernization projects using AWS. Strong leadership and team management skills. Excellent communication and interpersonal skills. Deep understanding of data modeling, ETL processes, and data warehousing. Experience with data governance and security best practices. Ability to work in a fast-paced, dynamic environment. Preferred Qualifications: AWS Certified Solutions Architect Professional or AWS Certified Big Data Specialty. Experience with other cloud platforms (e.g., Azure, GCP) is a plus. Familiarity with machine learning and AI technologies.

We are seeking a seasoned Lead Platform Engineer with a strong background in platform development and a proven track record of leading technology design and teams. The ideal candidate will have at least 8 years of overall experience, with a minimum of 5 years in relevant roles. This position entails owning module design and spearheading the implementation process alongside a team of talented platform engineers. Job Title: Lead Platform Engineer Job Location: Ahmedabad/Pune Required Experience: 8+ Years Educational Qualification: UG: BS/MS in Computer Science, or other engineering/technical degree Key Responsibilities Lead the design and architecture of robust, scalable platform modules, ensuring alignment with business objectives and technical standards. Drive the implementation of platform solutions, collaborating closely with platform engineers and cross-functional teams to achieve project milestones. Mentor and guide a team of platform engineers, fostering an environment of growth and continuous improvement. Stay abreast of emerging technologies and industry trends, incorporating them into the platform to enhance functionality and user experience. Ensure the reliability and security of the platform through comprehensive testing and adherence to best practices. Collaborate with senior leadership to set technical strategy and goals for the platform engineering team. Requirements: Minimum of 8 years of experience in software or platform engineering, with at least 5 years in roles directly relevant to platform development and team leadership. Expertise in Python programming, with a solid foundation in writing clean, efficient, and scalable code. Proven experience in serverless application development, designing and implementing microservices, and working within event-driven architectures. Demonstrated experience in building and shipping high-quality SaaS platforms/applications on AWS, showcasing a portfolio of successful deployments. Comprehensive understanding of cloud computing concepts, AWS architectural best practices, and familiarity with a range of AWS services, including but not limited to Lambda, RDS, DynamoDB, and API Gateway. Exceptional problem-solving skills, with a proven ability to optimize complex systems for efficiency and scalability. Excellent communication skills, with a track record of effective collaboration with team members and successful engagement with stakeholders across various levels. Previous experience leading technology design and engineering teams, with a focus on mentoring, guiding, and driving the team towards achieving project milestones and technical excellence. Good to Have: AWS Certified Solutions Architect, AWS Certified Developer, or other relevant cloud development certifications. Experience with the AWS Boto3 SDK for Python. Exposure to other cloud platforms such as Azure or GCP. Knowledge of containerization and orchestration technologies, such as Docker and Kubernetes.

What Youll Own Full Stack Systems: Architect and build end-to-end applications using Flask, FastAPI, Node.js, React (or Next.js), and Tailwind. AI Integrations: Build and optimize pipelines involving LLMs (OpenAI, Groq, LLaMA), Whisper, TTS, embeddings, RAG, LangChain, LangGraph, and vector DBs like Pinecone/Milvus. Cloud Infrastructure: Deploy, monitor, and scale systems on AWS/GCP using EC2, S3, IAM, Lambda, Kafka, and ClickHouse. Real-time Systems: Design asynchronous workflows (Kafka, Celery, WebSockets) for voice-based agents, event tracking, or search indexing. System Orchestration: Set up scalable infra with autoscaling groups, Docker, and Kubernetes (PoC ready, if not full prod). Growth-Ready Features: Implement in-app nudges, tracking with Amplitude, AB testing, and funnel optimization. Must-Haves: 1+ years of experience building production-grade full-stack systems Fluency in Python and JS/TS (Node.js, React) shipping independently without handholding Deep understanding of LLM pipelines, embeddings, vector search, and retrieval-augmented generation (RAG) Experience with AR frameworks (ARKit, ARCore), 3D rendering (Three.js), and real-time computer vision (MediaPipe) Strong grasp of modern AI model architectures: Diffusion Models, GANs, AI Agent Hands-on with system debugging, performance profiling, infra cost optimization Comfort with ambiguity fast iteration, shipping prototypes, breaking things to learn faster Bonus if youve built agentic apps, AI workflows, or virtual try-ons

The Team: S&P Global isa global market leader in providing information, analytics and solutions for industries and markets that drive economies worldwide. The Market Intelligence (MI) division is the largest division within the company. This is an opportunity to join the MI Data and Researchs Data Science Team whichis dedicated to developing cutting-edge Data Science and Generative AI solutions. We are a dynamic group that thrives on innovation and collaboration, working together to push the boundaries of technology and deliver impactful solutions. Our team values inclusivity, continuous learning, and the sharing of knowledge to enhance our collective expertise. Responsibilities and Impact: Develop and productionize cloud-based services and full-stack applications utilizing NLP solutions, including GenAI models. Implement and manage CI/CD pipelines to ensure efficient and reliable software delivery. Automate cloud infrastructure using Terraform. Write unit tests, integration tests and performance tests Work in a team environment using agile practices Support administration of Data Science experimentation environment including AWS Sagemaker and Nvidia GPU servers Monitor and optimize application performance and infrastructure costs. Collaborate with data scientists and other developers to integrate and deploy data science models into production environments Educate others to improve and coding standards, code quality and test coverage, documentation Work closely with cross-functional teams to ensure seamless integration and operation of services. What Were Looking For : Basic Required Qualifications : 5-8 years of experience in software engineering Proficiency in Python and JavaScript for full-stack development. Experience in writing and maintaining high quality code utilizing techniques like unit testing and code reviews Strong understanding of object-oriented design and programming concepts Strong experience with AWS cloud services, including EKS, Lambda, and S3. Knowledge of Docker containers and orchestration tools including Kubernetes Experience with monitoring, logging, and tracing tools (e.g., Datadog, Kibana, Grafana). Knowledge of message queues and event-driven architectures (e.g., AWS SQS, Kafka). Experience with CI/CD pipelines in Azure DevOps and GitHub Actions. Additional Preferred Qualifications : Experience writing front-end web applications using Javascript and React Familiarity with infrastructure as code (IaC) using Terraform. Experience in Azure or GPC cloud services Proficiency in C# or Java Experience with SQL and NoSQL databases Knowledge of Machine Learning concepts Experience with Large Language Models

The Team We are seeking an experienced, technically strong TechOps Engineer to join a global team that delivers specialized technical support of major product deliverables and availability of our products. This role focuses on continuously improving support processes through collaboration centralizing on proactive, technical and innovative engagements across business stakeholders, operations and development teams. Responsibilities Apply strong technical skills and good business knowledge together with investigative techniques to identify and resolve issues efficiently and in a timely manner Immerse in the business domain, identify and implement innovative solutions and technologies that enhance system and application monitoring Demonstrate excellent communication skills valuable for managing service incidents and working collaboratively with other teams Implement and monitor system alerts for early detection and mitigation of potential service incidents Involve and contribute solutions that address system and application vulnerabilities Constantly coordinate with product and development teams to ensure support readiness of new releases and enhancements Work on tooling, solutions and automation of operational support functions Education and experience University Graduate with Bachelors Degree in Computer Science or Computer Engineering related degree. Exp - 4+ years of exp Extensive experience in an Application Support role Experience working on AWS cloud technologies (Lambda, SQS, SNS, S3, Dynamo DB, Step Functions, EC2, Fargate etc.) Must be knowledgeable in SDLC and experience in raising development bugs including priority assessment, high quality analysis, and detailed investigation Must have fundamental working knowledge of RDBMS (Oracle, SQL server and RDS) including stored procs, complex joins, database query plan analysis and monitoring Broad knowledge of server administration across different operating systems such as Linux and Windows technologies. Good shell scripting experience is a must. Ability to use python scripting is an advantage Ideally familiar with monitoring tools such as DataDog, PagerDuty, Splunk and Centreon Demonstrable experience of working on highly transactional, available and scalable business critical systems Good understanding of software architecture; understanding component and application breakdown and interaction Commercial awareness Knowledge of, or experience of working in the financial services industry would be a plus Excellent understanding of software systems and technology Good understanding of software support team functions and a solid understanding of the end to end application development process. A strong desire to keep up with all of the latest developments in related technologies Personal competencies Confident individual who can represent the team at various levels. Excellent analytical and problem-solving skills Ability to carry out business impact analysis and prioritize tasks according to severity and importance Communication Must be a strong communicator both written and verbally in English Excellent listening, presentation and interpersonal skills Ability to communicate ideas in both technical and user-friendly languages Teamwork Ideal candidate is a self-starter capable of working independently as well as contribute to the teams requirements Be able to work flexible shift hours including weekends to meet work requirements and project deadlines

We are looking for a Senior Software developer ((Java+React+AWS)) to join our team responsible for building technology solutions for various business risk and control functions. You will work with the Technical Leads/Architects, Business stakeholders and ensure we are meeting their requirements to develop and drive automation. The candidate should be quick learner and keep themselves upgraded with the latest knowledge. 4-8 Years of Experience. Preferred Skillset: FullStack Developers (Java App Development + React + AWS). Responsibilities: Designing, implementing, and maintaining software solutions that cater to diverse business needs Strong programming skills in Java and should collaborate with architect, data team, web developers, and DevOps to deliver high-quality components or services to the business needs Logical and Analytics thinking and apply them to deliver the incubation solution, MVPs, prototypes Experience in AWS components including Lambda, ECS containers, RDS DBs like Postgres, DynamoDB etc. As well as Message brokers such as AWS SQS, AWS SNS, Kinesis Experience in designing and developing RESTful APIs Hands on experience with API tools such as Swagger and Postman Good understanding of one or more Integration test frameworks Working on Unit test cases & Integration testing frameworks Good understanding of CI/CD tools Should have experience working within an Agile framework (ideally Scrum)

We are looking for a Senior Software developer ((Java+Angular+AWS)) to join our team responsible for building technology solutions for various business risk and control functions. You will work with the Technical Leads/Architects, Business stakeholders and ensure we are meeting their requirements to develop and drive automation. The candidate should be quick learner and keep themselves upgraded with the latest knowledge. 5-8 Years of Experience. Preferred Skillset: FullStack Developers (Java App Development + Angular + AWS). Responsibilities: Software development experience with expertise in Java 8+ and knowledge of latest Java 9 features. Extensive knowledge and hands-on experience in Java frameworks available such as Spring MVC , Spring Boot and Hibernate / Spring JDBC. Should have working knowledge on designing and implementation of REST Web services. Experience with Agile Scrum Methodology. Experience working JavaScript framework like React Js/ Angular Experience working on highly interactive UIs using HTML5, CSS3,Bootstrap Should have working knowledge on designing and implementation of REST Web services. Ability & willingness to learn technologies at pace. Good communication skill Knowledge of Jenkin/Drone/Microsoft Azure DevOps, Git, App Dynamics, Splunk, Docker/Containerization, Terraform etc. Technical certifications AWS, Java, DevOps etc

Position: Senior AWS Data Engineer - Interested candidates can send their resumes to heena.ruchwani@gspann.com Experience: 6+ Years Locations: Pune, Hyderabad, Gurugram, Bangalore Notice Period: Immediate to 30 Days Preferred Job Description: We are hiring a Senior AWS Data Engineer to join our growing team. The ideal candidate will have deep expertise in AWS data services, strong ETL experience, and a passion for solving complex data problems at scale. Key Responsibilities: Design and develop scalable, high-performance data pipelines in AWS Work with services like Glue, Redshift, S3, EMR, Lambda, and Athena Build and optimize ETL processes for both structured and unstructured data Collaborate with cross-functional teams to deliver actionable data solutions Implement best practices for data quality, security, and cost-efficiency Required Skills: 6+ years in Data Engineering 3+ years working with AWS (Glue, S3, Redshift, Lambda, EMR, etc.) Proficient in Python or Scala for data transformation Strong SQL skills and experience in performance tuning Hands-on experience with Spark or PySpark Knowledge of data lake and DWH architecture Nice to Have: Familiarity with Kafka, Kinesis, or real-time data streaming Exposure to Terraform or CloudFormation Experience with CI/CD tools like Git and Jenkins How to Apply: Interested candidates can send their resumes to heena.ruchwani@gspann.com

Full Stack Architect for GRID System development, handling frontend (React/NextJS) AWS serverless backend (AppSync/GraphQL, DynamoDB, Lambda). Responsibilities include CI/CD (Terraform), UX/UI (Figma), security, testing & third-party API integration.

We are looking for DevOps Engineer How do you craft the future Smart Buildings? Were looking for the makers of tomorrow, the hardworking individuals ready to help Siemens transform entire industries, cities and even countries. Get to know us from the inside, develop your skills on the job. Youll make a difference by Designing, deploying, and managing AWS cloud infrastructure, including compute, storage, networking, and security services. Implementing and maintaining CI/CD pipelines using tools like GitLab CI, Jenkins, or similar technologies to automate build, test, and deployment processes. Collaborating with development teams to streamline development workflows and improve release cycles. Monitor and troubleshoot infrastructure and application issues, ensuring high availability and performance. Implementing infrastructure as code (IaC) using tools like Terraform or CloudFormation to automate provisioning and configuration management. Maintaining version control systems and Git repositories for codebase management and collaboration. Implementing and enforce security best practices and compliance standards in cloud environments. Continuously evaluate and embrace new technologies, tools, and best practices to improve efficiency and reliability. There are a lot of learning opportunities for our new team member. An openness to learn more about data analytics (including AI) offerings is part of your motivation Your defining qualities A University degree in Computer Science or a comparable education, we are flexible if a high quality of code is ensured. Proven experience (3-5 years) with common DevOps practices such as CI/CD pipelines (GitLab), Container and orchestration (Docker, ECS, EKS, Helm) and infrastructure as code (Terraform) Working knowledge of TypeScript, JavaScript, and Node.js. Good exposure to AWS cloud Thriving in working independently, i.e., can break down high-level objectives into concrete key results and implement those. Able to work with AWS from day one, familiarity with AWS services beyond EC2 (e.g., Fargate, RDS, IAM, Lambda) is something we expect from applicants. Having good knowledge of configuring logging and monitoring infrastructure with ELK, Prometheus, CloudWatch, Grafana. When it comes to methodologies, having knowledge of agile software development processes would be highly valued. Having the right demeanor, allowing you to navigate within a complex global organization and getting things done. We need a person with an absolute willingness to support the team, a proactive and stress-resistant personality. Business fluency in English