852 Aws Cloud Jobs - Page 6

The Company Gentrack provides leading utilities across the world with innovative cleantech solutions. The global pace of change is accelerating, and utilities need to rebuild for a more sustainable future. Working with some of the world s biggest energy and water companies, as well as innovative challenger brands, we are helping companies reshape what it means to be a utilities business. We are driven by our passion to create positive impact. That is why utilities rely on us to drive innovation, deliver great customer experiences, and secure profits. Together, we are renewing utilities. Our Values and Culture Colleagues at Gentrack are one big team, working together to drive efficiency in two of the planet s most precious resources, energy, and water. We are passionate people who want to drive change through technology and believe in making a difference. Our values drive decisions and how we interact and communicate with customers, partners, shareholders, and each other. Our core values are: Respect for the planet Respect for our customers and Respect for each other Gentrackers are a group of smart thinkers and dedicated doers. We are a diverse team who love our work and the people we work with and who collaborate and inspire each other to deliver creative solutions that make our customers successful. We are a team that shares knowledge, asks questions, raises the bar, and are expert advisers. At Gentrack we care about doing honest business that is good for not just customers but families, communities, and ultimately the planet. Gentrackers continuously look for a better way and drive quality into everything they do. This is a truly exciting time to join Gentrack with a clear growth strategy and a world class leadership team working to fulfil Gentrack s global aspirations by having the most talented people, an inspiring culture, and a technology first, people centric business. The Opportunity As a Solution Architect at Gentrack, you will play a pivotal role in leading the design and delivery of technically robust solutions for our customers projects. Your responsibilities will encompass managing the technical aspects of project delivery, including analysis, design, programming, and testing in the implementation of large-scale software projects. Additionally, you will be involved in the review of proposed solutions, producing architecture and design artifacts, and ensuring adherence to enterprise and application architecture principles. Collaboration with project delivery teams, internal and external stakeholders, and the promotion of best practices across Gentracks professional services are key aspects of this role. Your contribution will extend to providing technical and product consulting, participating in the preparation of project proposals, and fostering long-term business relationships with customers. In line with our value of Respect for the Planet , we encourage all our people to encourage awareness of and behaviours aligned to our Sustainability Charter through supporting organisational change and actively engaging in our global sustainability programs, including enabling our people to engage and partake in events. The Specifics Manage technical aspects of project delivery, including analysis, design, programming, and testing. Review solutions proposed by project delivery teams and produce architecture and design artifacts. Maintain and develop implementation and project delivery processes. Stay current with Gentrack business plans, products, and future developments. Provide technical and product consulting internally and externally. Collaborate with customers and other Architects to define requirements and specify optimal designs. Motivate and support project delivery teams, leading and mentoring team members. Assist in maintaining and improving staff recovery levels on projects. Contribute significantly to preparing project proposals. Foster long-term business relationships between Gentrack and customers. What were looking for (you don t need to be a guru at all, we re looking forward to coaching and collaborating with you): Minimum 8+ years experience in technical leadership of large implementation projects. Expertise in enterprise solutions in software development. Knowledge of SDLC and Project Methodologies. Industry knowledge in Software and Utilities. Positive and constructive attitude with a passion for excellence. High levels of energy, sound judgment, and determination with a sense of urgency. Strong attention to detail and effective relationship management skills. Open-minded consultative approach and creative problem-solving ability. Currently working towards a Bachelor s Degree or equivalent in Computer Science, Science, or Software Engineering. Specialized skills in programming and technical design. Cloud Platforms: Solid understanding of AWS Cloud Services, including infrastructure, deployment models, and key services relevant to solution architecture. Tools & Technologies: API Tools: Postman, SOAPUI, JMeter Protocols & Formats: REST APIs, JSON, XML, SMPP, SMTP, HTTP Good understanding of BSS (Business Support Systems) domains including Product Catalog, Usages, Billing, Payments, and Integrations. Strong grasp of Data Models to support effective data migration planning and execution. Provide architectural and technical support for Cutover planning and preparation, ensuring a smooth transition to production with minimal risk. What we offer in return: Personal growth - in leadership, commercial acumen and technical excellence To be part of a global, winning high growth organization - with a career path to match A vibrant, culture full of people passionate about transformation and making a difference -with a one team, collaborative ethos A competitive reward package that truly awards our top talent A chance to make a true impact on society and the planet Gentrack want to work with the best people, no matter their background. So, if you are passionate about learning new things and keen to join the mission, you will fit right in.

Mandatory Skills: Cloud AWS Admin. Experience>10 YEARS.

Databricks Lead Databricks Lead Should have 6 years of experience Must have skills DataBricks, Delta Lake, pyspark or scala spark, unity catalog. Good to have skills - Azure/AWS Cloud skills To ingest and transform batch and streaming data on the Databricks Lakehouse Platform. Excellent communication skill Mandatory Skills: DataBricks - Data Engineering. Experience5-8 Years.

Role & responsibilities Understand current database designs and database deployment architectures for all product lines. Review and propose steps for optimal database response, train and advise development and support teams in appropriate data handling techniques covering security, design, collection, query and storage. Track resource utilization, collect performance metrics and tune server configuration for optimal performance. Prepare and execute database management processes, including but not limited to patching, maintenance plans, performance review plans, self-audits etc. Prepare and maintain documentation relevant to data models for all product lines. Prepare and maintain documentation relevant to data management e.g. data flows and integration, data security policies and procedures etc. Prepare and maintain documentation relevant to database administration e.g. disaster prevention and recovery processes and policies, access control, maintenance schedules etc. Report status of data management and database administration activities and checklists in reviews with senior management. Periodically identify risks and challenges, define mitigation and plans for continuous improvement in services. Review and execute DDL and DML scripts on production environments, maintain logs of changes; manage access to test and production databases. Participate in incident management and RCAs. Plan and execute approved activities in consultation with senior IT management. Keep track of industry standards and emerging tools, techniques and practices and make appropriate recommendations for implementation. Preferred candidate profile Bachelors degree or equivalent with experience in administering Microsoft SQL Server databases hosted on cloud and RDS (on AWS) / managed services on any public cloud. Work experience of 4 - 6 years with 3 5 years as a Microsoft SQL Server DBA. Experience working with product development teams and understanding of the role a DBA plays in maintaining application performance and availability. Automotive domain experience will be beneficial. Must be proficient in MS Office tools like Word, Excel, and PowerPoint.

Design and Develop Backend Systems API Development Database Management Microservices Architecture Security Performance Optimization Integration Collaboration Testing & Debugging Documentation.

Position: Senior Engineer - Windows, Linux & DevOps Automation Relevant Experience: 9 Years+ Salary: Nego Location: Hyderabad/ Noida / Bangalore / Hybrid Roles & Responsibilities: Lead and Optimize Deployments: Drive the deployment of in-house and custom applications, ensuring seamless and automated processes. This includes architecting and implementing advanced deployment strategies. Kubernetes & Docker Mastery: Design, implement, and manage highly available and scalable Kubernetes clusters and Docker containerized environments. CI/CD Pipeline Ownership: Architect, build, and maintain robust CI/CD pipelines to accelerate application delivery and ensure code quality. Automation Champion: Proactively identify and automate repetitive tasks across the infrastructure, development, and operational lifecycles. Code Review & Quality Assurance: Lead code reviews for infrastructure-as-code and deployment scripts, ensuring best practices, security, and performance. System Architecture & Troubleshooting: Collaborate closely with agile development teams to resolve complex architecture-related issues and provide expert guidance. Network & Security Focus: Implement and enforce strong network and security policies, ensuring the integrity and protection of our systems and data. This includes a deep understanding of OS security. System Administration & Monitoring: Oversee the installation, configuration, and maintenance of software on Linux environments. Proactively monitor system configurations and application performance (including Oracle databases and Windows applications) to ensure data integrity and optimal operation. Disaster Recovery & Upgrades: Plan and execute new software releases and upgrades, and manage robust system backup/imaging and recovery strategies. Mentorship & Best Practices: Act as a subject matter expert, mentoring junior engineers and driving the adoption of industry best practices. Required Skill Sets: Extensive Linux Expertise (8+ years): Deep, hands-on experience with Linux/Unix operating systems is essential. Kubernetes & Docker: Proven expertise in deploying, managing, and troubleshooting applications within Kubernetes and Docker environments. CI/CD Tools: Strong experience with various CI/CD tools (e.g., Jenkins, GitLab CI, Azure DevOps, etc.). Cloud Platforms: Extensive experience working in AWS environments , specifically supporting application deployments. Automation & Scripting: Expert-level proficiency in Shell scripting and other automation languages (e.g., Python, Ansible). Networking & Security: In-depth knowledge of network protocols, firewall configurations, and OS security policies . Application Deployment & Management: Proven track record of successful application deployments, including experience with performance monitoring for Windows applications and Oracle databases. Troubleshooting & Problem Solving: Exceptional analytical and problem-solving skills, with the ability to diagnose and resolve complex technical issues independently. Communication & Collaboration: Excellent communication and interpersonal skills, with the ability to work effectively with cross-functional teams.

Overview Position Overview Annalect is currently seeking a data engineer to join our technology team. In this role you will build Annalect products which sit atop cloud-based data infrastructure. We are looking for people who have a shared passion for technology, design & development, data, and fusing these disciplines together to build cool things. In this role, you will work on one or more software and data products in the Annalect Engineering Team. You will participate in technical architecture, design and development of software products as well as research and evaluation of new technical solutions. Responsibilities Steward data and compute environments to facilitate usage of data assets Design, build, test and deploy scalable and reusable systems that handle large amounts of data Manage small team of developers Perform code reviews and provide leadership and guidance to junior developers Learn and teach new technologies Qualifications Experience designing and managing data flows Experience designing systems and APIs to integrate data into applications 8+ years of Linux, Bash, Python, and SQL experience 4+ years using Spark and other Hadoop ecosystem software 4+ years using AWS cloud services, esp. EMR, Glue, Athena, and Redshift 4+ years managing team of developers Passion for Technology: Excitement for new technology, bleeding edge applications, and a positive attitude towards solving real world challenges

Role & responsibilities To be successful in this role, you should meet the following requirements: Expert level knowledge and hands on experience in any one or more of HSBCs current Cloud platforms with particular focus on AWS. Extensive working knowledge of software development and mandatory control deployment tools; e.g GitHub, MS Visual Studio, Python, Bash, PowerShell, SQL, and data formats such as XML, JSON, CSV. Extensive knowledge of cloud vendor tooling e.g JupiterOne. Customer/stakeholder focus. Ability to build strong relationships with Cloud platform teams, security architects, application teams, cross functional IT and global/local IT teams. Self-motivated and possessing of a high sense of urgency and personal integrity. Strong problem-solving and trouble-shooting skills. Strong knowledge of Agile working methodologies. Excellent written and spoken communication skills with an ability to: communicate with impact, ensuring complex information is articulated in a meaningful way to wide and varied audiences; produce clear and concise reports/control documentation for targeted audiences across internal and external stakeholders.

Role & responsibilities Machine Learning, Data Science, Model Customization [4+ Years] Exp with performing above on cloud services e.g AWS SageMaker and other tools AI/ Gen AI skills: [1 or 2 years] MCP, RAG pipelines, A2A, Agentic / AI Agents Framework Auto Gen, Lang graph, Lang chain, codeless workflow builders etc. Preferred candidate profile Build working POC and prototypes rapidly. Build / integrate AI driven solutions to solve the identified opportunities, challenges. Lead cross functional teams in identifying and prioritizing key business areas in which AI solutions can result benefits. Proposals to executives and business leaders on broad range of technology, strategy and standard, governance for AI. Work on functional design, process design (flow mapping), prototyping, testing, defining support model in collaboration with Engineering and business leaders. Articulate and document the solutions architecture and lessons learned for each exploration and accelerated incubation. Relevant IT Experience: - 10+ years of relevant IT experience in given technology

Responsibilities: * Design and implement AWS solutions * Collaborate with clients on migrations and presales activities * Manage client relationships through effective communication * Prepare accurate BOMs using AWS tools

Key Skills: Cloud, Cloud Architect, AWS, AWS Cloud, Cloud Administration, Azure, Google Cloud Platform, GCP, Azure Architect Roles and Responsibilities: Client Engagement & Strategy Alignment Understand client business objectives, challenges, and strategic priorities. Define the scope and desired business outcomes of Cloud and AI enablement initiatives. Cloud Advisory & Technical Expertise Lead and execute advisory engagements with technical depth in one or more of the following domains: Application/Data Modernization Industry Cloud Solutions M&A Integration Cloud Optimization Ecosystem Integration Assessment & Transformation Planning Analyze existing application landscapes to identify opportunities for cloud-led business transformation. Assess modernization/migration suitability and develop transformation roadmaps. Cloud Strategy & Architecture Provide strategic guidance on cloud platform selection. Design hybrid/distributed cloud architectures and create implementation plans. Stakeholder Management & Business Development Maintain strong client relationships to ensure advisory commitments are fulfilled. Identify and nurture downstream opportunities, aiding account growth. Cost Optimization & ROI Enhancement Perform cost optimization analyses to identify potential savings. Recommend strategies to improve ROI on cloud investments. Security & Compliance Assurance Ensure solutions meet security, regulatory, and compliance requirements. Provide training and enablement to clients on cloud technologies and best practices Skills Required: Technical Skills Cloud certification (e.g., AWS, Azure, GCP); preference for advanced-level certifications Proven experience in delivering, advising, or solutioning cloud-led transformation projects Strong understanding of cloud platforms, migration strategies, hybrid cloud models, and architecture best practices Domain Expertise Business process knowledge in one or more industries Experience in Mergers, Acquisitions, and Divestitures Understanding of operating models post cloud adoption Familiarity with enterprise data structures and AI enablement initiatives Generic Skills Client engagement (mining, hunting, account management) Effective communication and presentation skills Analytical and strategic thinking abilities Personal Attributes Flexible and open to travel Positive attitude and growth mindset Strong problem-solving orientation Collaborative, team-first mentality High accountability and client-centric mindset. Education: Bachelor's Degree in related field.

SUMMARY Job Role: AWS Cloud Security Architect Location Chennai Experience 2+ years Job Description We are looking for an AWS Cloud Security Architect with at least 2 years of relevant experience. As a Cloud Platform Engineer, you will be responsible for designing, constructing, testing, and deploying cloud application solutions that integrate both cloud and non-cloud infrastructures. You will collaborate with cross-functional teams to ensure solutions meet performance and security standards, validate architecture through practical testing, and manage infrastructure environments to meet organizational demands. Roles & Responsibilities Work independently and become a subject matter expert. Actively participate in team discussions and provide solutions to work-related problems. Assist in developing best practices for cloud application deployment and management. Collaborate with stakeholders to gather requirements and translate them into technical specifications. Professional & Technical Skills Must-Have Skills: Proficiency in Cloud Security Architecture. Good-To-Have Skills: Experience with AWS CloudFormation, understanding of cloud service models (IaaS, PaaS, SaaS), experience with security frameworks and compliance standards in cloud environments, familiarity with automation tools for infrastructure deployment and management. Additional Information Minimum 2 years of experience in Cloud Security Architecture required. This position is based at our Chennai office. A 15 years full-time education is required. Requirements Requirements: Minimum 2 years of experience in Cloud Security Architecture 15 years full-time education

Job Title: Java Full Stack Developer(AWS + Cloud) Java Full Stack Developer(AWS + Azure) Experience: Minimum 5+ of relevant exp Location: Bengaluru Work Mode: Work From Office (WFO) / Hybrid (as per project requirements) Preferred- Immediate to 1month NP(DOJ- 30th July) Job Description: Java and Microservices Development: Proficient in Java and J2EE technologies (JDK8 and JDK 17). In-depth knowledge of Microservices architecture and design principles. Extensive experience with Spring frameworks and Spring Boot technologies. Database and Persistence: Strong expertise in database technologies and stored procedures. Proficient in Hibernate, Entity mapping, and JPA Repository Implementations. Build and Deployment Tools: Hands-on experience with build tools like Maven/Gradle and version control systems like Git. Familiarity with CI/CD pipelines for software build automation. Testing : Proficient in testing frameworks such as Junit and Mockito. Experience in automated testing to ensure the reliability and quality of software solutions. Web Services: Extensive experience in developing and consuming Web Services, including REST, SOAP, and proficiency in handling data formats like JSON, WSDL, and XML. Front-End Development: Hands-on experience in front-end technologies such as Angular or ReactJS is a plus. Cloud and Related Technologies: Exposure to cloud hosting platforms. Familiarity with related IT domains, including cloud services, and the ability to integrate cloud solutions into the overall architecture. Cloud Technology: Substantial experience in cloud technologies, with a focus on AWS, Azure, or Pivotal Cloud. Contribute to the strategic use of cloud hosting platforms in the development and deployment of solutions Share updated resume at siddhi.pandey@adecco.com or whatsapp at 6366783349

Role & responsibilities This SRO Engineer is part of GPU Cloud Business Unit. Here the team doesn't have difference in L0-L3 level of resources. This Engineer will be helping in building clusters from scratch, supporting, monitoring and troubleshooting them. SRO Engineers should be able to automate their daily tasks using Ansible playbooks. They will be supporting the firmware upgradations, failure analysis, read logs etc. Any incidents coming, a ticket will be raised on it. SRO Engineers will take up and resolve the same. Should be available to respond to any Alert/Alarm on the incidents. Should be documenting and do additional troubleshooting as and when required. Documenting done to share the details with the next shift SRO Engineers to refer. They should be able to understand any hardware failure or configuration issues that come up as incidents. Preferred candidate profile • 5+ Years of hands-on Linux Administration experience. • Should have understanding of Hardware clusters. • Should have experience in any Cloud Service Provider (CSP) environment. (AWS/Azure/Oracle/GCP). • Ansible/Python Scripting experience. • Should be a reliable team player. • Should have proven experience in SSH, DNS, DHCP, Bare Metal etc.

About The Role. Perform a hands-on role while mentoring junior team members as needed. Gather requirements from the business and prioritize them within the sprint cycle. Ensure the quality and timely delivery of projects. Contribute to all stages of the software development lifecycle. Design, implement, and maintain Java-based applications with a strong understanding of project architecture. Analyze user requirements to define business objectives. Envision system features and functionality, defining clear application objectives. Ensure that application designs align with business goals. Propose enhancements to the existing Java infrastructure. Develop technical designs to support application development. Create multimedia applications. Write well-designed, testable code. Prepare and produce releases of software components. Support continuous improvement by exploring alternative solutions and technologies and presenting these findings for architectural review. Required Technical Skills. Strong fundamentals in object-oriented programming (OOP). Excellent proficiency in Java fundamentals, including multithreading and streams. Solid understanding of data structures and algorithms. Experience with microservices architecture. Well-versed in the latest technology stack for server-side programming. Good knowledge of distributed caching/computing frameworks and tools. Proficient in SQL query writing and optimization. Preferred Skill Sets. Experience with AWS Lambda (serverless) and Redis. Familiarity with design patterns such as Singleton and Facade. Experience with MongoDB/NoSQL databases. Knowledge of Java Messaging Services or AWS SQS (like JMS). Exposure to AWS Cloud. Business knowledge of Loan Management Systems (LMS) is a plus. Willingness to lead a technical team, with team management experience preferred. Educational Graduates with a B.Tech, M.Tech, or MCA from Tier 1 or Tier 2 colleges. (ref:hirist.tech).

Key Responsibilities WorkSpaces Design & Implementation :. Design and deploy scalable Amazon WorkSpaces environments across multiple regions (US East, EMEA, SEA). Architect Personal (persistent) and Pooled (non-persistent) WorkSpaces, supporting up to 5,000 users in production environments and 500 users in non-production environments. Serve as a Disaster Recovery (DR) layer for existing Azure Virtual Desktop solutions. Manage user profiles, including standard, power, and GPU-based WorkSpaces, with FSLogix profile management for O365 and non-persistent Automation & Image Management :. Implement Bring Your Own License (BYOL) strategy and deploy custom images using Image Builder and Merck eCore base images. Design and enforce naming conventions, tagging strategies, and IAM role assignments for workspace deployments. Automate workspace provisioning processes using AWS CLI, CloudFormation, and Compliance & Governance :. Configure and manage IAM permissions, domain policies, secret management, and eDiscovery settings . Implement Active Directory integration using AWS Managed Microsoft AD or AD Connector. Ensure security compliance through encryption, access control policies, and audit logging via CloudTrail and & Connectivity :. Configure network settings, including bandwidth, latency, VPCs, subnets, endpoints, and security groups. Set up multi-AZ deployments for high availability and integrate with AWS Direct Connect for secure hybrid Logging & Recovery :. Design observability frameworks using CloudWatch, CloudTrail, and internal databases. Define backup, recovery, and rollback procedures for workspace environments. Provide operational support, image optimization, and iterative improvements based on testing feedback. Required Skills & Experience. 8+ years of experience as an AWS Cloud Engineer, DevOps Engineer, or EUC Specialist. Proven expertise in deploying and managing Amazon WorkSpaces at scale. Hands-on experience with Python, PowerShell, and scripting for infrastructure automation. Proficiency with Infrastructure as Code (IaC) using Terraform, AWS CloudFormation, and AWS CLI. Strong understanding of networking, security, Active Directory integration, and observability in cloud environments. In-depth knowledge of VDI design principles, including BYOL and hybrid DR configurations. Preferred Qualifications. AWS Certifications (e.g., Solutions Architect, SysOps Administrator, or DevOps Engineer). Experience with Azure Virtual Desktop (AVD) and hybrid VDI solutions. Familiarity with eDiscovery, FSLogix, and enterprise IAM frameworks. Exposure to large-scale EUC and cloud migration projects. (ref:hirist.tech).

Location: 100% Remote Employment Type: Full-Time Must have Own laptop and Internet connection Work hours: 11 AM to 8 PM IST Position Summary: We are looking for a highly skilled and self-driven Full Stack Developer with deep expertise in React.js, Node.js, and AWS cloud services. The ideal candidate will play a critical role in designing, developing, and deploying full-stack web applications in a secure and scalable cloud environment. Key Responsibilities: Design and develop scalable front-end applications using React.js and modern JavaScript/TypeScript frameworks. Build and maintain robust backend services using Node.js, Express, and RESTful APIs. Architect and deploy full-stack solutions on AWS using services such as Lambda, API Gateway, ECS, RDS, S3, CloudFormation, CloudWatch, and DynamoDB. Ensure application performance, security, scalability, and maintainability. Work collaboratively in Agile/Scrum environments and participate in sprint planning, code reviews, and daily standups. Integrate CI/CD pipelines and automate testing and deployment workflows using AWS-native tools or services like Jenkins, CodeBuild, or GitHub Actions. Troubleshoot production issues, optimize system performance, and implement monitoring and alerting solutions. Maintain clean, well-documented, and reusable code and technical documentation. Required Qualifications: 5+ years of professional experience as a full stack developer. Strong expertise in React.js (Hooks, Context, Redux, etc.). Advanced backend development experience with Node.js and related frameworks. Proven hands-on experience designing and deploying applications on AWS Cloud. Solid understanding of RESTful services, microservices architecture, and cloud-native design. Experience working with relational databases (PostgreSQL, MySQL, DynamoDB). Proficient in Git and modern DevOps practices (CI/CD, Infrastructure as Code, etc.). Strong communication skills and ability to collaborate in distributed teams.

AWS Solution Architect/DevOps1 :We are seeking a highly skilled AWS DevOps Engineer / Solution Architect with a strong background in designing and implementing data-driven and API-based solutions. The ideal candidate will have deep expertise in AWS architecture, a passion for creating scalable, secure, and high-performance systems, and the ability to align technology solutions with business goals.Key Responsibilities Design and Architect Solutions: Develop and architect scalable, secure, and efficient cloud-based solutions on AWS for data and API-related projects. Infrastructure as Code: Implement infrastructure automation using tools such as Terraform, CloudFormation, or AWS CDK. API Development and Integration: Architect and implement RESTful APIs, ensuring high availability, scalability, and security using AWS API Gateway, Lambda, and related services. Data Solutions: Design and optimize data pipelines, data lakes, and storage solutions using AWS services like S3, Redshift, RDS, and DynamoDB. CI/CD Pipelines: Build, manage, and optimize CI/CD pipelines to automate deployments, testing, and infrastructure provisioning (Jenkins, CodePipeline, etc.). Monitoring and Optimization: Ensure robust monitoring, logging, and alerting mechanisms are in place using tools like CloudWatch, Prometheus, and Grafana. Collaboration and Best Practices: Work closely with cross-functional teams (development, data engineering, security) to implement DevOps best practices and deliver innovative cloud solutions. Security and Compliance: Implement AWS security best practices, including IAM, encryption, VPC, and security monitoring to ensure solutions meet security and compliance standards. Cost Optimization: Continuously optimize AWS environments for performance, scalability, and cost-effectiveness. Qualifications 8+ years of experience in AWS cloud architecture, with a focus on data and API solutions. Expertise in AWS core services such as EC2, S3, Lambda, API Gateway, RDS, DynamoDB, Redshift, and CloudFormation. Hands-on experience with infrastructure as code (IaC) tools like Terraform, AWS CDK, or CloudFormation. Proficiency in API design and development , particularly RESTful APIs and serverless architectures. Strong understanding of CI/CD pipelines , version control (Git), and automation tools. Knowledge of networking, security best practices, and AWS Well-Architected Framework . Experience with containerization technologies such as Docker and orchestration tools like Kubernetes or AWS ECS/EKS. Excellent problem-solving skills and ability to work independently and in a team environment. AWS Certifications such as AWS Certified Solutions Architect(Associate/Professional)or AWS Certified DevOps Engineer are highly preferred.

Sr Data Engineer1 We are looking for a highly skilled Senior Data Engineer with strong expertise in DataWarehousing & Analytics to join our team. The ideal candidate will have extensive experiencein designing and managing data solutions, advanced SQL proficiency, and hands-on expertisein Python.Key ResponsibilitiesDesign, develop, and maintain scalable data warehouse solutions. Write and optimize complex SQL queries for data extraction, transformation, andreporting. Develop and automate data pipelines using Python. Work with AWS cloud services for data storage, processing, and analytics. Collaborate with cross-functional teams to provide data-driven insights and solutions. Ensure data integrity, security, and performance optimization. Work in UK shift hours to align with global stakeholders.Required Skills & Experience8-10 years of experience in Data Warehousing & Analytics. Strong proficiency in writing complex SQL queries with deep understanding of queryoptimization, stored procedures, and indexing. Hands-on experience with Python for data processing and automation. Experience working with AWS cloud services. Ability to work independently and collaborate with teams across different time zones.Good to HaveExperience in the Finance domain and understanding of financial data structures. Hands-on experience with reporting tools like Power BI or Tableau.

Full Stack .NET core + Angular with AWS Experience1 Education Bachelors or Masters degree in Computer Science, Engineering, or related field. Experience Minimum of 8 years of experience in .NET Core development with AWS. .NET Core Development Design, develop, and maintain high-quality, scalable, and efficient .NET Core applications. Implement best practices for coding and ensure code quality through unit testing and code reviews. Hands-on experience with containerization technologies like Docker and Kubernetes. Knowledge of database technologies like SQL Server, MongoDB, or Cosmos DB. AWS Experience Design and implement serverless solutions using AWS Lambda functions. Strong experience with AWS services, particularly Lambda and Step Functions. Deploy, manage on AWS cloud Optimise application performance and scalability in the cloud environment. Containerization Design and implement containerized applications using Docker and Kubernetes. Ensure proper orchestration and management of containers for high availability and resilience. Experience with serverless architecture and Azure Functions. Angular Development Develop and maintain front-end applications using Angular. Collaborate with UI/UX designers to implement responsive and user-friendly interfaces. Integrate front-end components with back-end services. Leadership and Mentorship Lead and mentor a team of developers, providing technical guidance and support. Conduct code reviews and ensure adherence to best practices and coding standards.

Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world class products that meet and exceed customer needs. Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc. Job Title: MLOps Engineer - ML Platform Hiring Title: Flexible based on candidate experience – about Staff Engineer preferred : We are seeking a highly skilled and experienced MLOps Engineer to join our team and contribute to the development and maintenance of our ML platform both on premises and AWS Cloud. As a MLOps Engineer, you will be responsible for architecting, deploying, and optimizing the ML & Data platform that supports training of Machine Learning Models using NVIDIA DGX clusters and the Kubernetes platform, including technologies like Helm, ArgoCD, Argo Workflow, Prometheus, and Grafana. Your expertise in AWS services such as EKS, EC2, VPC, IAM, S3, and EFS will be crucial in ensuring the smooth operation and scalability of our ML infrastructure. You will work closely with cross-functional teams, including data scientists, software engineers, and infrastructure specialists, to ensure the smooth operation and scalability of our ML infrastructure. Your expertise in MLOps, DevOps, and knowledge of GPU clusters will be vital in enabling efficient training and deployment of ML models. Responsibilities will include: Architect, develop, and maintain the ML platform to support training and inference of ML models. Design and implement scalable and reliable infrastructure solutions for NVIDIA clusters both on premises and AWS Cloud. Collaborate with data scientists and software engineers to define requirements and ensure seamless integration of ML and Data workflows into the platform. Optimize the platform’s performance and scalability, considering factors such as GPU resource utilization, data ingestion, model training, and deployment. Monitor and troubleshoot system performance, identifying and resolving issues to ensure the availability and reliability of the ML platform. Implement and maintain CI/CD pipelines for automated model training, evaluation, and deployment using technologies like ArgoCD and Argo Workflow. Implement and maintain monitoring stack using Prometheus and Grafana to ensure the health and performance of the platform. Manage AWS services including EKS, EC2, VPC, IAM, S3, and EFS to support the platform. Implement logging and monitoring solutions using AWS CloudWatch and other relevant tools. Stay updated with the latest advancements in MLOps, distributed computing, and GPU acceleration technologies, and proactively propose improvements to enhance the ML platform. What are we looking for: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. Proven experience as an MLOps Engineer or similar role, with a focus on large-scale ML and/or Data infrastructure and GPU clusters. Strong expertise in configuring and optimizing NVIDIA DGX clusters for deep learning workloads. Proficient in using the Kubernetes platform, including technologies like Helm, ArgoCD, Argo Workflow, Prometheus , and Grafana . Solid programming skills in languages like Python, Go and experience with relevant ML frameworks (e.g., TensorFlow, PyTorch ). In-depth understanding of distributed computing, parallel computing, and GPU acceleration techniques. Familiarity with containerization technologies such as Docker and orchestration tools. Experience with CI/CD pipelines and automation tools for ML workflows (e.g., Jenkins, GitHub, ArgoCD). Experience with AWS services such as EKS , EC2, VPC, IAM, S3, and EFS. Experience with AWS logging and monitoring tools. Strong problem-solving skills and the ability to troubleshoot complex technical issues. Excellent communication and collaboration skills to work effectively within a cross-functional team. We would love to see: Experience with training and deploying models. Knowledge of ML model optimization techniques and memory management on GPUs. Familiarity with ML-specific data storage and retrieval systems. Understanding of security and compliance requirements in ML infrastructure.

Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world class products that meet and exceed customer needs. Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field. Job Title: MLOps Engineer - ML Platform Hiring Title: Flexible based on candidate experience – about Staff Engineer preferred : We are seeking a highly skilled and experienced MLOps Engineer to join our team and contribute to the development and maintenance of our ML platform both on premises and AWS Cloud. As a MLOps Engineer, you will be responsible for architecting, deploying, and optimizing the ML & Data platform that supports training of Machine Learning Models using NVIDIA DGX clusters and the Kubernetes platform, including technologies like Helm, ArgoCD, Argo Workflow, Prometheus, and Grafana. Your expertise in AWS services such as EKS, EC2, VPC, IAM, S3, and EFS will be crucial in ensuring the smooth operation and scalability of our ML infrastructure. You will work closely with cross-functional teams, including data scientists, software engineers, and infrastructure specialists, to ensure the smooth operation and scalability of our ML infrastructure. Your expertise in MLOps, DevOps, and knowledge of GPU clusters will be vital in enabling efficient training and deployment of ML models. Responsibilities will include: Architect, develop, and maintain the ML platform to support training and inference of ML models. Design and implement scalable and reliable infrastructure solutions for NVIDIA clusters both on premises and AWS Cloud. Collaborate with data scientists and software engineers to define requirements and ensure seamless integration of ML and Data workflows into the platform. Optimize the platform’s performance and scalability, considering factors such as GPU resource utilization, data ingestion, model training, and deployment. Monitor and troubleshoot system performance, identifying and resolving issues to ensure the availability and reliability of the ML platform. Implement and maintain CI/CD pipelines for automated model training, evaluation, and deployment using technologies like ArgoCD and Argo Workflow. Implement and maintain monitoring stack using Prometheus and Grafana to ensure the health and performance of the platform. Manage AWS services including EKS, EC2, VPC, IAM, S3, and EFS to support the platform. Implement logging and monitoring solutions using AWS CloudWatch and other relevant tools. Stay updated with the latest advancements in MLOps, distributed computing, and GPU acceleration technologies, and proactively propose improvements to enhance the ML platform. What are we looking for: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. Proven experience as an MLOps Engineer or similar role, with a focus on large-scale ML and/or Data infrastructure and GPU clusters. Strong expertise in configuring and optimizing NVIDIA DGX clusters for deep learning workloads. Proficient in using the Kubernetes platform, including technologies like Helm, ArgoCD, Argo Workflow, Prometheus , and Grafana . Solid programming skills in languages like Python, Go and experience with relevant ML frameworks (e.g., TensorFlow, PyTorch ). In-depth understanding of distributed computing, parallel computing, and GPU acceleration techniques. Familiarity with containerization technologies such as Docker and orchestration tools. Experience with CI/CD pipelines and automation tools for ML workflows (e.g., Jenkins, GitHub, ArgoCD). Experience with AWS services such as EKS , EC2, VPC, IAM, S3, and EFS. Experience with AWS logging and monitoring tools. Strong problem-solving skills and the ability to troubleshoot complex technical issues. Excellent communication and collaboration skills to work effectively within a cross-functional team. We would love to see: Experience with training and deploying models. Knowledge of ML model optimization techniques and memory management on GPUs. Familiarity with ML-specific data storage and retrieval systems. Understanding of security and compliance requirements in ML infrastructure.

Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world class products that meet and exceed customer needs. Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. 2+ years of work experience with Programming Language such as C, C++, Java, Python, etc. Job Title: MLOps Engineer - ML Platform Hiring Title: Flexible based on candidate experience – about Staff Engineer preferred : We are seeking a highly skilled and experienced MLOps Engineer to join our team and contribute to the development and maintenance of our ML platform both on premises and AWS Cloud. As a MLOps Engineer, you will be responsible for architecting, deploying, and optimizing the ML & Data platform that supports training of Machine Learning Models using NVIDIA DGX clusters and the Kubernetes platform, including technologies like Helm, ArgoCD, Argo Workflow, Prometheus, and Grafana. Your expertise in AWS services such as EKS, EC2, VPC, IAM, S3, and EFS will be crucial in ensuring the smooth operation and scalability of our ML infrastructure. You will work closely with cross-functional teams, including data scientists, software engineers, and infrastructure specialists, to ensure the smooth operation and scalability of our ML infrastructure. Your expertise in MLOps, DevOps, and knowledge of GPU clusters will be vital in enabling efficient training and deployment of ML models. Responsibilities will include: Architect, develop, and maintain the ML platform to support training and inference of ML models. Design and implement scalable and reliable infrastructure solutions for NVIDIA clusters both on premises and AWS Cloud. Collaborate with data scientists and software engineers to define requirements and ensure seamless integration of ML and Data workflows into the platform. Optimize the platform’s performance and scalability, considering factors such as GPU resource utilization, data ingestion, model training, and deployment. Monitor and troubleshoot system performance, identifying and resolving issues to ensure the availability and reliability of the ML platform. Implement and maintain CI/CD pipelines for automated model training, evaluation, and deployment using technologies like ArgoCD and Argo Workflow. Implement and maintain monitoring stack using Prometheus and Grafana to ensure the health and performance of the platform. Manage AWS services including EKS, EC2, VPC, IAM, S3, and EFS to support the platform. Implement logging and monitoring solutions using AWS CloudWatch and other relevant tools. Stay updated with the latest advancements in MLOps, distributed computing, and GPU acceleration technologies, and proactively propose improvements to enhance the ML platform. What are we looking for: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. Proven experience as an MLOps Engineer or similar role, with a focus on large-scale ML and/or Data infrastructure and GPU clusters. Strong expertise in configuring and optimizing NVIDIA DGX clusters for deep learning workloads. Proficient in using the Kubernetes platform, including technologies like Helm, ArgoCD, Argo Workflow, Prometheus , and Grafana . Solid programming skills in languages like Python, Go and experience with relevant ML frameworks (e.g., TensorFlow, PyTorch ). In-depth understanding of distributed computing, parallel computing, and GPU acceleration techniques. Familiarity with containerization technologies such as Docker and orchestration tools. Experience with CI/CD pipelines and automation tools for ML workflows (e.g., Jenkins, GitHub, ArgoCD). Experience with AWS services such as EKS , EC2, VPC, IAM, S3, and EFS. Experience with AWS logging and monitoring tools. Strong problem-solving skills and the ability to troubleshoot complex technical issues. Excellent communication and collaboration skills to work effectively within a cross-functional team. We would love to see: Experience with training and deploying models. Knowledge of ML model optimization techniques and memory management on GPUs. Familiarity with ML-specific data storage and retrieval systems. Understanding of security and compliance requirements in ML infrastructure.

0px> Who are we? In one sentence We are seeking a Java Full Stack Architect & People Manager with strong technical depth and leadership capabilities to lead our Java Modernization projects. The ideal candidate will possess a robust understanding of Java Full Stack, Databases and Cloud-based solution delivery , combined with proven experience in managing high-performing technical teams. This role requires a visionary who can translate business challenges into scalable distributed solutions while nurturing talent and fostering innovation. What will your job look like? Lead the design and implementation of Java Full Stack solutions covering Frontend, Backend and Batch processes & interface Integrations across business use cases. Translate business requirements into technical architectures using Azure/AWS Cloud Platforms . Manage and mentor a multidisciplinary team of engineers, Leads and Specialists . Drive adoption of Databricks , Python In addition to Java-based frameworks within solution development. Collaborate closely with product owners, data engineering teams, and customer IT & business stakeholders. Ensure high standards in code quality, system performance, and model governance . Track industry trends and continuously improve the technology stack adopting newer trends showcasing productization, automation and innovative ideas. Oversee end-to-end lifecycle: use case identification, PoC, MVP, production deployment, and support. Define and monitor KPIs to measure team performance and project impact. All you need is... 13+ years of overall IT experience with a strong background in Telecom domain (preferred). Proven hands-on experience with Java Full Stack technologies and Cloud DBs Strong understanding of Design Principles and patterns for distributed applications OnPrem as well as OnCloud . Demonstrated experience in building and deploying on Azure or AWS via CI/CD practices . Strong expertise in Java, Databases, Python, Kafka and Linux Scripting . In-depth understanding of cloud-native architecture , microservices , and data pipelines . Solid people management experience: team building, mentoring, performance reviews. Strong analytical thinking and communication skills. Ability to be Hands-On with Coding, Reviews while Development and Production Support Good to Have Skills: Familiarity with Databricks, PySpark Familiarity of Snowflake Why you will love this job: You will be challenged with leading and mentoring a few development teams & projects You will join a strong team with lots of activities, technologies, business challenges and a progression path You will have the opportunity to work with the industry most advanced technologies

Strong Python, Flask, REST API, and NoSQL skills. AWS Developer Associate certification is required. . Architect, build, and maintain secure, scalable backend services on AWS platforms. Utilize core AWS services and serverless technologies. Provident fund