4620 Continuous Integration Jobs - Page 32

Sr. Full Stack Developer1 Full-stack Developer Duties and Responsibilities The Full-stack Developer job description should contain a variety of functions and roles including Designing and developing high-performing, scalable, AI-driven applications. Collaborating with a team of dynamic innovators to deliver game-changing solutions in the AI space. Exploring new technologies and frameworks, pushing boundaries, and contributing exciting and creative ideas. Code, test and operate node.js based services Effectively use tools and ingenuity to identify and fix defects before they become a problem Node.js Developer / Skills / Qualifications Node.js Developer job description should include these common skills and qualifications BE/BTech in computer science or similar relevant field Previous working experience as a full-stack Developer for 4-6 years In-depth knowledge of Node.js and at least one front-end framework like Vue, React or Angular Knowledge of Python along with basicAI/ML concepts and frameworks Any knowledge of Generative AI and prompt engineering will be a great advantage Hands-on experience with any Cloud platform and CI/CD pipelines Experience working with a variety of databases, both SQL and NoSQL Familiarity with the whole web stack, including protocols and web server optimization techniques

QA - Automation - Cypress4 5-8 years of experience in automation testing, with at least 4 years of hands-on experience with Cypress. Strong understanding of web technologies (HTML, CSS, JavaScript) and web application frameworks. Proficient in programming languages such as JavaScript/TypeScript. Experience with version control systems, preferably Git. Familiarity with CI/CD tools such as Jenkins, GitLab CI, or CircleCI. Strong analytical and problem-solving skills. Excellent communication and teamwork abilities. Knowledge of other testing frameworks and tools (e.g., Selenium, Jest, Mocha) is a plus. Experience with cloud platforms (AWS, Azure, GCP) is a plus.

Salesforce Field Service Developer2 Key Responsibilities : Solution Design Collaborate with business stakeholders and architects to understand requirements and design custom solutions within the Salesforce platform, focusing on Field Service Lightning (FSL) capabilities and integrations. Custom Development Develop custom components, features, and functionalities within Salesforce using Apex, Visualforce, Lightning Components, and other programming languages and tools to meet business requirements related to field service operations. Field Service Lightning Configuration Configure and customize Field Service Lightning (FSL) modules, including service appointments, work orders, service resources, service territories, and mobile solutions, to support field service workflows and processes. Integration Design and implement integrations between Salesforce and other enterprise systems, such as ERP, inventory management, and IoT platforms, using REST APIs, SOAP APIs, middleware, and other integration tools to ensure seamless data flow and process automation. Mobile Solutions Develop and customize mobile solutions within the Salesforce mobile app and Field Service Lightning (FSL) mobile app to enable field technicians to access, update, and complete work orders, manage inventory, and communicate with dispatchers and customers. Testing and Quality Assurance Develop test plans, execute test cases, and perform quality assurance activities to validate custom developments and integrations, ensuring accuracy, reliability, and compliance with business requirements. Deployment and Release Management Manage the deployment process for custom developments and integrations, including code migration, environment management, and release documentation, following best practices and change management processes. Documentation and Knowledge Sharing Document custom developments, configurations, and integrations, and contribute to knowledge sharing within the team and across the organization to promote understanding and reuse of solutions. Troubleshooting and Support Provide technical support and troubleshooting assistance for field service applications, custom developments, and integrations, working closely with stakeholders and end-users to resolve issues and optimize performance. Continuous Improvement Stay abreast of Salesforce platform updates, Field Service Lightning releases, and industry trends in field service management, and proactively identify opportunities for enhancements and optimizations to drive business value. Qualifications : Bachelor's degree in computer science, information technology, or a related field. Salesforce certifications, such as Salesforce Certified Platform Developer I and Salesforce Certified Field Service Lightning Consultant, are required. Minimum of 3 years of experience as a Salesforce Developer, with a focus on custom development and integrations within the Salesforce platform, preferably in the field service domain. Proficiency in Apex, Visualforce, Lightning Components, JavaScript, HTML, CSS, and other programming languages and tools used for Salesforce development. Strong understanding of Salesforce platform capabilities, including data model, security model, process automation, and customization options. Experience with Field Service Lightning (FSL) modules and features, including service appointments, work orders, service resources, and mobile solutions. Knowledge of integration patterns, protocols, and tools used for integrating Salesforce with other enterprise systems, such as REST APIs, SOAP APIs, middleware, and ETL tools. Excellent analytical and problem-solving skills, with the ability to translate business requirements into technical solutions. Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams and stakeholders at all levels. Preferred Skills : Experience with Salesforce Lightning Web Components (LWC) and Salesforce mobile app customization. Knowledge of IoT (Internet of Things) technologies and their integration with Salesforce Field Service Lightning (FSL) for predictive maintenance and remote monitoring. Familiarity with agile methodologies and project management practices. Ability to develop and maintain reports and dashboards in Salesforce for field service analytics and performance tracking. Experience with version control systems and continuous integration/continuous deployment (CI/CD) pipelines for Salesforce development.

QE for AWS Migration Testing (Gatling)4 Responsibilities(Candidate with 8+ years experience) 1. Collaborate on developingQEstrategies and tailored plans for migrating individualapplications, considering factors like dependencies, performance, and compliance. 2. Work closely with the Pipeline team to establishQEprocesses within application-specific CICD pipelines for both on-premises and cloud deployments. 3. Conduct comprehensiveQEtesting, including functional, integration, and performance testing, to validate the effectiveness of migratedapplications. 4. DocumentQEprocesses, configurations, and best practices for knowledge sharing and future reference. 5. Provide guidance and support to team members throughout themigrationprocess, assisting in troubleshooting and resolvingQE-related issues. 6. Gatling framework knowledge is a must Qualifications 1. Bachelors degree in Computer Science, Engineering, or a related field is preferred. 2. Extensive experience in writing, executing test plans for End-to-End testing and Integration Testing. 3. Extensive experience in writing, executing functional tests/regression tests using Java, Cucumber. 4. Expertise in writing, executing performance testing using Jmeter or any similar tools. 5. Knowledge ofAWScloud services and infrastructure is a plus. 6. Strong problem-solving skills with the ability to troubleshoot complex technical issues related to application quality and performance. 7. AWScertifications likeAWSCertified Developer orAWSCertified DevOps Engineer are advantageous. Experience in designing and executing distributed load tests with Gatling using Docker and AWS. Analyze test results and provide insights for performance improvements. Good to have Implement and manage containerized environments to support application deployment and scaling. Collaborate with development and operations teams to integrate containerization into CI/CD pipelines.

AI/ML Engineers1 AI/ML (Artificial Intelligence/Machine Learning) engineers with 3+ years of experience and having knowledge of Python, Microsoft OpenAI, and GitHub Copilot, along with AWS (Amazon Web Services) cloud experience. Design, implement, and optimize machine learning algorithms using Python to solve complex business problems. Build Prototypes, demos and Gen AI and AI/ML Solutions. Leverage Microsoft OpenAI and GitHub Copilot for enhanced code suggestions and collaboration. Train, evaluate, and fine-tune machine learning models on large datasets using frameworks like TensorFlow or PyTorch. Utilize OpenAI's models for natural language processing tasks and generate code snippets with Copilot to expedite development. Perform data preprocessing tasks, including cleaning, normalization, and feature engineering, to prepare datasets for machine learning models. Use Python libraries and tools to extract meaningful features from raw data. Deploy and manage machine learning models on AWS cloud infrastructure. Utilize AWS services like SageMaker for model training, deployment, and monitoring. Collaborate with cross-functional teams, including data scientists, software engineers, and business stakeholders. Document code, models, and processes to ensure transparency and facilitate knowledge transfer. Implement CI/CD pipelines to automate the testing, deployment, and monitoring of machine learning models. Use GitHub Copilot to enhance code quality and efficiency in the development lifecycle. Monitor the performance of deployed models and optimize them for scalability, speed, and accuracy. Implement best practices for model versioning and management. Ensure that machine learning solutions adhere to security standards and compliance requirements. Implement secure coding practices and data protection measures. Stay updated on the latest advancements in AI/ML, Python, OpenAI, and cloud technologies. Experiment with new models, techniques, and tools to drive innovation within the team. Troubleshoot and debug issues related to machine learning models, Python code, and cloud infrastructure. Collaborate with support teams to address production issues promptly. Provide guidance and training to team members on AI/ML best practices, Python coding standards, and effective use of OpenAI and Copilot. Conduct workshops or knowledge-sharing sessions within the organization. Optimize cloud resources to ensure cost-effectiveness in model training and deployment on AWS. Proficiency in python, Gen AI, Microsoft OpenAI, and GitHub Copilot, along with AWS Strong knowledge of Python, TensorFlow and PyTorch Strong knowledge of NLPs like Microsoft OpenAI and Copilot Knowledge of cloud platforms like Amazon Web Services. Solid understanding of SQL and data manipulation techniques for data extraction, transformation, and loading. Ability to understand business requirements and translate them into meaningful solutions. Strong analytical and problem-solving skills. Excellent communication and collaboration skills to work effectively with business users, data analysts, and other stakeholders. Educational Qualifications Bachelor's degree in computer science, software engineering, mathematics, or a related field is often the minimum requirement Knowledge of Data science will be added advantage .

Azure Solution Architecture1 Azure Solution Architecture Azure Solution Architect with expertise in Azure Integration Platform as a Service (iPaaS), Azure Infrastructure, Azure Cloud Native Services, and a proven track record in end-to-end implementation on the Azure platform. End-to-End Solution Design Architect and implement complex integration solutions using Azure iPaaS services, including Azure Logic Apps, Azure Service Bus, and Azure Functions. Lead the end-to-end design of Azure solutions, encompassing iPaaS,.Net Core , infrastructure, and cloud-native services. Collaborate with stakeholders to gather requirements and translate them into scalable and efficient architectural designs. Ensure data flows smoothly across various systems, both on-premises and in the cloud. Incorporate microservices architecture and containerization into solution designs. Azure Infrastructure Design and implement scalable and resilient Azure infrastructure solutions, considering factors such as performance, security, and compliance. Deployment and configuration of infrastructure components in alignment with best practices. Utilize Azure cloud-native services to build and deploy applications using CI/CD .Focus on scalability, reliability, and cost efficiency. Presales Consultation Engage with clients to understand their business objectives, challenges, and technical requirements. Collaborate with sales teams to create compelling and customized solutions based on Azure services. Conduct presentations and workshops to showcase the technical aspects of proposed solutions. Design end-to-end solutions on the Azure platform, ensuring alignment with client needs and industry best practices. Provide technical leadership and guidance in the development of solution architectures. Work closely with the engineering and development teams to ensure successful solution implementation. Technology Thought Provocation Stay abreast of industry trends, emerging technologies, and best practices related to cloud computing, artificial intelligence, and Generation AI. Proactively suggest innovative and cutting-edge solutions to address clients' challenges. Vendor-Agnostic Knowledge Demonstrate a broad understanding of Generation AI technologies, tools, and frameworks, irrespective of specific vendors. Provide unbiased recommendations based on the client's needs and the strengths of different technology solutions. Client Relationship Building Build and maintain strong relationships with key client stakeholders. Act as a trusted advisor to clients, understanding their long-term goals and providing strategic technology recommendations.

Job Area: Information Technology Group, Information Technology Group > IT Programmer Analyst General Summary: Qualcomm is seeking a Programmer Analyst to join Qualcomm's Identity and Access Management Team that manages, maintains and enhances production, development, and test systems in a 24x7 mission critical environment. We are looking for a highly motivated self-starter Java/Grails/UI Developer with excellent interpersonal, communication, problem solving and analytical skills. Desired candidate should have around 3 to 5 years hands-on technical experience with both Groovy/Grails and Java with Spring Framework.Must have exposure of building integrations and developing tools for Identity & Access management domain. Minimum Qualifications: 1+ year of work experience in programming, scripting, and/or automation or IT-relevant work experience with a Bachelor’s degree in a non-technical field (e.g. Business, Humanities, Marketing). OR 3+ years of work experience in programming, scripting, and/or automation or IT-relevant work experience with a High School Diploma or equivalent. 3-5 years of development experience with Java, J2EE, Spring Boot, and Web Services.Experience with Agile development methodology, Test-Driven Development, Incremental delivery, and CI/CDThorough understanding of OOPS concepts, design principles, and implementation of different types of design patternsExperience with programming languages (e.g., Java, Groovy, Python etc.) and with Front-End related languages (e.g., Angular, TypeScript or JavaScript).Team player possessing strong analytical, problem-solving and communication skillsExperience with Splunk for log management and system monitoring.Strong understanding of microservices architecture and RESTful API design.Strong communication skills and ability to collaborate effectively with stakeholders.Take complete responsibility of the features developed right from coding till deployments.Identify and resolve any technical issues arising.Contribute to critical application and product development projects with a focus on problem-solving and continuous improvementMaintain and enhance existing APIs and collaborate with cross-functional teams to gather and analyze system requirementsProficiency in database management, including MongoDB, SQL, and NoSQLStrong problem-solving skills and the ability to collaborate with cross-functional teams to gather and analyze system requirements.Knowledge on messaging tools such as Kafka, MQ, and Rabbit MQ, as well as proficiency in CI/CDDesign, implement and maintain Java-based applications that can be high-volume and low-latencyProficiency in front-end technologies (e.g., HTML, CSS, JavaScript, React, Angular).

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: Qualification and Experience: Bachelor's degree in Engineering, Information Systems, Computer Science, Electronics At least 9 to 11 years of experience in below areas Prior work on embedded products Knowledge of building continuous integration pipelines Understanding of bug databases and how to use them, for example Orbit Experience with git, A thorough understanding of software configuration management especially using Git Good understanding of build systems Good understanding of debug techniques Good Understanding of Linux software architecture Good understanding of configuration management Designing and optimizing deployment scripts and processes Good knowledge of GNU/Linux Shell scripting Proven success in taking ownership of CI systems for embedded products that require extensive hardware testing infrastructure Good understanding of embedded software, this will help understanding the CI system for the products Skills: C, Python scripting, bash script programming Linux System concepts, Linux Kernel Internals and driver concepts. Exposure to distributions: debian, openwrt, yocto SCM toolsgit, repo Automation development experience with Github, Jenkins Prior experience in Continuous Integration and Build System is a plus Strong debugging and problem-solving skills Passionate about the Build and Integration and software automation Knowledge in managing source control systems, software versioning, Git branching strategies and integrations on multiple projects and repositories. Excellent communicative, interpersonal and leadership skills with ability to work efficiently in both independent and teamwork environments. Key Responsibilities: Collaborate cross-functionally with stakeholders to gather and understand the requirements Participate in setting standards for various stages in project lifecycle. Lead the team to deliver a high-quality product on a defined schedule. Highlight risks and gaps early in the project life-cycle to identify the correct path forward. Evaluate new tools and technology to ensure an automated and stable environment Doing Impact analysis (arch, tech teams, baseline), providing inputs to leads, propose Branching strategy & interim milestones. Ensure meeting release criteria for key customers - Sanity, Stability, Conformance Test Suites, Power, Perf, fine-tuned testing based on need. Task definition and work breakdown including time estimation. Ability to work with minimal requirements and manage multiple tasks. Collaborate closely with Software and Test Teams. Excellent understanding of CI systems. Maintain the current CI system including defect investigation. 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 Area: Engineering Group, Engineering Group > Hardware Engineering General Summary: About Qualcomm: Qualcomm is the largest fabless design company in the world, generating over $15 billion in annual revenues from chipsets and royalties from intellectual property. Qualcomm provides hardware, software, and related services to nearly every mobile device maker and operator in the global wireless marketplace. About Team: The DSP design team is responsible for delivering high-performance DSP cores, which are at the heart of Qualcomm's multi-tier SoC roadmap targeted for the mobile space. Our team works on tools support and infrastructure for complex Qualcomm proprietary DSP IP. Job Responsibilities: Manage the DSP design database and support the design flows and infrastructure. Build new automations to enable the design team s to be more productive. Work closely with global DSP team in resolving critical infrastructure issues ,challenges and bottlenecks in time . Develop and deploy new tool methodologies and automation to continuously improve quality and efficiency. Required Skills and Experience: 3-10 years of experience in programming, database management, tools support, and automation. Excellent interpersonal and communication skills. Strong analytical, programming, and debugging skills. Strong experience with GIT . Excellent in Python programming Good to have: Excellent scripting and automation skills in Perl, Python , Shell, and Makefile TCI. Hands-on experience with Kubernetes/Docker . Experience with JIRA or any bug tracking tool. Basic knowledge of Clearcase. Hands-on experience in web/UI development . Knowledge of databases such as SQL and MongoDB . Familiarity with DSP/Electronics (preferred). Experience with Jenkins and CI/CD automation. Experience in project/team management (for experienced candidates) Minimum Qualifications: Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 6+ years of Hardware Engineering or related work experience. OR Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 5+ years of Hardware Engineering or related work experience. OR PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 4+ years of Hardware Engineering or related work experience.

Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: Job Summary: Qualcomm is seeking a seasoned Staff Engineer, DevOps to join our central software engineering team. In this role, you will lead the design, development, and deployment of scalable cloud-native and hybrid infrastructure solutions, modernize legacy systems, and drive DevOps best practices across products. This is a hands-on architectural role ideal for someone who thrives in a fast-paced, innovation-driven environment and is passionate about building resilient, secure, and efficient platforms. Key Responsibilities: Architect and implement enterprise-grade AWS cloud solutions for Qualcomm’s software platforms. Design and implement CI/CD pipelines using Jenkins, GitHub Actions, and Terraform to enable rapid and reliable software delivery. Develop reusable Terraform modules and automation scripts to support scalable infrastructure provisioning. Drive observability initiatives using Prometheus, Grafana, Fluentd, OpenTelemetry, and Splunk to ensure system reliability and performance. Collaborate with software development teams to embed DevOps practices into the SDLC and ensure seamless deployment and operations. Provide mentorship and technical leadership to junior engineers and cross-functional teams. Manage hybrid environments, including on-prem infrastructure and Kubernetes workloads supporting both Linux and Windows. Lead incident response, root cause analysis, and continuous improvement of SLIs for mission-critical systems. Drive toil reduction and automation using scripting or programming languages such as PowerShell, Bash, Python, or Go. Independently drive and implement DevOps/cloud initiatives in collaboration with key stakeholders. Understand software development designs and compilation/deployment flows for .NET, Angular, and Java-based applications to align infrastructure and CI/CD strategies with application architecture. Required Qualifications: 10+ years of experience in IT or software development, with at least 5 years in cloud architecture and DevOps roles. Strong foundational knowledge of infrastructure components such as networking, servers, operating systems, DNS, Active Directory, and LDAP. Deep expertise in AWS services including EKS, RDS, MSK, CloudFront, S3, and OpenSearch. Hands-on experience with Kubernetes, Docker, containerd, and microservices orchestration. Proficiency in Infrastructure as Code using Terraform and configuration management tools like Ansible and Chef. Experience with observability tools and telemetry pipelines (Grafana, Prometheus, Fluentd, OpenTelemetry, Splunk). Experience with agent-based monitoring tools such as SCOM and Datadog. Solid scripting skills in Python, Bash, and PowerShell. Familiarity with enterprise-grade web services (IIS, Apache, Nginx) and load balancing solutions. Excellent communication and leadership skills with experience mentoring and collaborating across teams. Preferred Qualifications: Experience with api gateway solutions for API security and management. Knowledge on RDBMS, preferably MSSQL/Postgresql is good to have. Proficiency in SRE principles including SLIs, SLOs, SLAs, error budgets, chaos engineering, and toil reduction. Experience in core software development (e.g., Java, .NET). Exposure to Azure cloud and hybrid cloud strategies. Bachelor’s degree in Computer Science or a related field 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 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.

Join us as a Quality Automation Specialist In this key role, you ll be undertaking and enabling automated testing activities in all delivery models We ll look to you to support teams to develop quality solutions and enable continuous integration and assurance of defect free deployment of customer value You ll be working closely with feature teams and a variety of stakeholders, giving you great exposure to professional development opportunities Were offering this role at associate vice president level What youll do Joining us in a highly collaborative role, you ll be contributing to the transformation of testing using quality processes, tools, and methodologies, significantly improving control, accuracy and integrity. You ll be making sure repeatable, constant and consistent quality is built into all phases of the idea to value lifecycle at reduced cost or reduced time to market. It s a chance to work with colleagues at multiple levels, and with cross-domain, domain, platform and feature teams, to build in quality as an integral part of all activities. Additionally, you ll be: Supporting the design of automation test strategies, aligned to business or programme goals Evolving more predictive and intelligent testing approaches, based on automation and innovative testing products and solutions Collaborating with stakeholders and feature teams and making sure that automated testing is performed and monitored as an essential part of the planning and product delivery Designing and creating a low maintenance suite of stable, re-usable automated tests, which are usable both within the product or domain and across domains and systems in an end-to-end capacity Applying testing and delivery standards by understanding the product development lifecycle along with mandatory, regulatory and compliance requirements The skills youll need Youll need at least eight years of experience in automation testing. You ll be an innovative thinker who can identify opportunities and design solutions, coupled with the ability to develop complex automation code. You ll have a good understanding of Agile methodologies with experience of working in an Agile team, with the ability to relate everyday work to the strategic vision of the feature team with a strong focus on business outcomes. We ll also look for you to have: Experience in end-to-end and automation testing using the latest tools as recommended by enterprise tooling framework Experience in manual and automation testing using tools such as Playwright, UI path and Selenium U nderstanding of UI Testing along with experience in System Integration testing E xperience of writing SQL queries including joining data from multiple tables, databases and parameter queries Hours 45 Job Posting Closing Date: 30/06/2025

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.

Job Title: Odoo Architect Position: Manager Consulting Expert Experience: 12+Years Category: Software Development/ Engineering Main location: All CGI Locations + Noida Position ID: J0525-0232 Employment Type: Full Time Job Description : Technologies Used: Odoo Platform v15+ Based Development. Experience with Odoo development and customization. Odoo User base (Logged-in users) > 1000 Users . Odoo on Kubernetes (Microservices Based Architecture) with DevOps understanding. Knowledge of Odoo modules, architecture, and APIs. Ability to integrate Odoo with other systems and data sources. Capable of creating custom modules. Scale Odoo deployments for a large number of users and transactions. Programming. Languages: Proficiency in Python is essential. Experience with other programming languages (e.g., Java, Scala) is a plus. Data Analysis and Reporting: Ability to analyse and interpret complex data sets. Experience with data visualization tools (e.g., Superset). Experience in Cassandra (4.0+) along with Query Engine like Presto. Proficiency in SQL and experience with relational databases (e.g., PostgreSQL, MySQL). Experience with ETL tools and processes. Data Structure & Data Modelling Knowledge of data warehousing concepts and technologies. Familiarity with big data technologies (e.g., Hadoop, Spark) is a plus. Experience in managing and processing large Datasets DevSecOps: Experience with containerization, Docker, and Kubernetes clusters. CI/CD with GitLab. Methodologies: Knowledge and experience of SCRUM and Agile methodologies. Operating Systems: Linux/Windows OS. Tools Used: Jira, GitLab, Confluence. Other Skills: Strong problem-solving and analytical skills. Excellent communication and collaboration abilities. Attention to detail and a commitment to data quality. Ability to work in a fast-paced, dynamic environment. Skills: English ERP System CSB Postgre SQL Python Hadoop Ecosystem (HDFS) Java

Job Area: Information Technology Group, Information Technology Group > IT Software Developer General Summary: Qualcomm OneIT team is looking for a talented senior Full-Stack Developer to join our dynamic team and contribute to our exciting projects. The ideal candidate will have strong understanding of Java, Spring Boot, Angular/React and AWS technologies as well as experience in designing, managing and deploying applications to the cloud.Key Responsibilities: Design, develop and maintain web applications using Java, Spring Boot, and Angular/React. Collaborate with cross-functional teams to define, design, and ship new features. Write clean, maintainable, and efficient code. Ensure the performance, quality, and responsiveness of applications. Identify and correct bottlenecks and fix bugs. Help maintain code quality, organization, and automation. Stay up-to-date with the latest industry trends and technologies. Minimum Qualifications: 3+ years of IT-relevant work experience with a Bachelor's degree in a technical field (e.g., Computer Engineering, Computer Science, Information Systems). OR 5+ years of IT-relevant work experience without a Bachelor’s degree. 3+ years of any combination of academic or work experience with Full-stack Application Development (e.g., Java, Python, JavaScript, etc.) 1+ year of any combination of academic or work experience with Data Structures, algorithms, and data stores. Candidate should have: Bachelor's degree in Computer Science, Engineering, or a related field. 5-7 years of experience with minimum 3 years as a Full-Stack developer using Java, Spring Boot and Angular/React. Strong proficiency in Java and Spring Boot. Experience with front-end frameworks such as Angular or React. Familiarity with RESTful APIs and web services. Knowledge of database systems like Oracle, MySQL, PostgreSQL, or MongoDB. Experience with AWS services such as EC2, S3, RDS, Lambda, and API Gateway. Understanding of version control systems, preferably Git. Excellent problem-solving skills and attention to detail. Strong communication and teamwork abilities. Experience with any other programming language like C#, Python Knowledge of containerization technologies like Docker and Kubernetes. Familiarity with CI/CD pipelines and DevOps practices. Experience with Agile/Scrum/SAFe methodologies. Bachelors or Master’s degree in information technology, computer science or equivalent.

Job Area: Engineering Group, Engineering Group > Software Test Engineering General Summary: Description Snapdragon Studios is seeking a PC Game Tester to execute test plans and ensure the best gaming experience on Windows on Arm Snapdragon platforms.The ideal candidate is comfortable with testing PC games, familiarity with the various game storefronts and can dig deeper on performance and/or report clear and concisely issues encountered on the games tested. This is a unique opportunity to triage and investigate Windows application failures in a new environment on Snapdragon Windows devices. At the heart of Snapdragon Studios, we are passionate about next generation gaming technologies and delivering exceptional gaming experiences. Our highly creative teams are full of veteran game developers, artists, game engine experts and graphics enthusiasts who work on our latest GPU and gaming hardware innovations around mobile, PC, and XR. Minimum Qualifications Experience testing video games (3-5 Years) Technical understanding of game technologies, quality setting permutations, performance, etc. Ability to find, reproduce, and clearly report issues Excellent ability to infer and recognize patterns Excellent written and verbal communication skills Self-motivated Preferred Qualifications Experience using Windows debugging software stack (WinDBG, EventViewer, etc.) Experience with test automation and reporting tools/scripts Performance reporting via tools such as FRAPS, WPR, PresentMon, etc. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Test Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Test Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. 1+ year of work or academic experience with Software Test or System Test, developing and automating test plans and/or tools (e.g., Source Code Control Systems, Continuous Integration Tools, and Bug Tracking Tools).

Job Area: Engineering Group, Engineering Group > Hardware Engineering General Summary: About Qualcomm: Qualcomm is the largest fabless design company in the world, generating over $15 billion in annual revenues from chipsets and royalties from intellectual property. Qualcomm provides hardware, software, and related services to nearly every mobile device maker and operator in the global wireless marketplace. About Team: The DSP design team is responsible for delivering high-performance DSP cores, which are at the heart of Qualcomm's multi-tier SoC roadmap targeted for the mobile space. Our team works on tools support and infrastructure for complex Qualcomm proprietary DSP IP. Job Responsibilities: Manage the DSP design database and support the design flows and infrastructure. Build new automations to enable the design team s to be more productive. Work closely with global DSP team in resolving critical infrastructure issues ,challenges and bottlenecks in time . Develop and deploy new tool methodologies and automation to continuously improve quality and efficiency. Required Skills and Experience: 3-10 years of experience in programming, database management, tools support, and automation. Excellent interpersonal and communication skills. Strong analytical, programming, and debugging skills. Excellent scripting and automation skills in Perl, Python , Shell, and Makefile TCI. Hands-on experience with Kubernetes/Docker . Experience with JIRA or any bug tracking tool. Strong experience with GIT . Basic knowledge of Clearcase. Hands-on experience in web/UI development . Knowledge of databases such as SQL and MongoDB . Familiarity with DSP/Electronics (preferred). Experience with Jenkins and CI/CD automation. Experience in project/team management (for experienced candidates) Minimum Qualifications: Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 3+ years of Hardware Engineering or related work experience. OR Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 2+ years of Hardware Engineering or related work experience. OR PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 1+ year of Hardware Engineering or related work experience.

Job Area: Engineering Group, Engineering Group > Hardware 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 Hardware Engineer, you will plan, design, optimize, verify, and test electronic systems, bring-up yield, circuits, mechanical systems, Digital/Analog/RF/optical systems, equipment and packaging, test systems, FPGA, and/or DSP systems that launch cutting-edge, world class products. Qualcomm Hardware Engineers collaborate with cross-functional teams to develop solutions and meet performance requirements. Minimum Qualifications: Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 8+ years of Hardware Engineering or related work experience. OR Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 7+ years of Hardware Engineering or related work experience. OR PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 6+ years of Hardware Engineering or related work experience. J Principal Responsibilities: Senior leader with 20+ CAD/Methodology development experience for team in Bengaluru. Drive tools, flows, methodologies globally as part of world-wide CAD organization. Develop and implement advanced CAD flows and methodologies for front end RTL Design to Verification Methodologies and framework development. Utilize scripting languages (python) to automate CAD/IT processes and increase efficiency. Collaborate with cross-functional teams to ensure successful integration of CAD flows. Stay up-to-date with cutting-edge technology (AI/ML), conduct thorough analysis of CAD tools and make improvements. Work closely with users to troubleshoot and resolve any issues that arise in tools, flows, environment, and infrastructure. Preferred Qualifications: Experience building full stack AI applications, with a focus on practical, production-grade solutions Strong proficiency in Rust for performance-critical systems and Python for AI development and scripting . Solid understanding of large language models (LLMs), their mechanics, and their real-world applications. Experience implementing tool use capabilities for LLMs and agent frameworks Knowledge of evaluation methodologies for fine-tuned language models Good grasp of Retrieval-Augmented Generation (RAG) and latest AI Agent frameworks Ability to stay current with the fast-evolving AI landscape]. Including advancements in LLMs and neural networks Strong understanding of CAD/EDA tools and methodologies. Hands on experience with regression systems, CI/CD, Revision Control System (git, perforce) workflow. Strong fundamentals in digital design, design verification methodologies and EDA tools. Knowledge of SOC architecture is a plus Preferred – Masters in VLSI or Computer Science Minimum – Bachelors in Electronics/Electrical Engineering/Computer Science Atleast 15 years’ experience in development of tools/flows/methodologies in either RTL, DV, synthesis, PnR or Signoff. Should have a proven record of driving new innovative tool/flow/methodology solutions. Should have managed a medium sized team. Level of Responsibility: Works independently with minimal supervision. Work with chip leads in support of design verification. Collaborate with chip leads to understand the design methodology. high-level requirements, determine other areas to support current or future designs that can benefit from automation and tooling. Provides supervision/guidance to other team members. Decision-making is significant in nature and affects work beyond immediate work group. Requires verbal and written communication skills to convey complex information. May require negotiation, influence, tact, etc.

Equifax is seeking creative, high-energy and driven software engineers with hands-on development skills to work on a variety of meaningful projects. Our software engineering positions provide you the opportunity to join a team of talented engineers working with leading-edge technology. You are ideal for this position if you are a forward-thinking, committed, and enthusiastic software engineer who is passionate about technology. What you ll do Apply basic principles of software engineering and follow instructions. Provide meaningful feedback on the release process, code review, and design review. Easily absorb and apply new information. Display a cooperative attitude and share knowledge. Apply modern software development practices (serverless computing, microservices architecture, CI/CD, infrastructure-as-code, etc.) Work across teams to integrate our systems with existing corporate product platforms Participate in technology roadmap and architecture discussions to turn business requirements and vision into reality. Participate in a tight-knit engineering team employing agile software development practices. What experience you need Bachelors degree or equivalent experience 6 months+ experience with Java software programming experience 6 months+ experience with Cloud technology: GCP, AWS, or Azure What could set you apart Self-starter that identifies/responds to priority shifts with minimal supervision Design requirements on small systems or modules of medium systems (large scale) environment and technical documentation. Leverage automation within scope of effort UI development (e.g. HTML, JavaScript, Angular and Bootstrap) Experience with backend technologies such as JAVA/J2EE, SpringBoot, SOA and Microservices Source code control management systems (e.g. SVN/Git, Github) and build tools like Maven & Gradle. Agile environments (e.g. Scrum, XP) Relational databases (e.g. SQL Server, MySQL) Atlassian tooling (e.g. JIRA, Confluence, and Github) Developing with modern JDK (v1.7+) Automated Testing: JUnit, Selenium, LoadRunner, SoapUI Primary Location: IND-Pune-Equifax Analytics-PEC Function: Function - Tech Dev and Client Services Schedule: Full time

Responsibilities Performing requirement analysis Developing high-quality and detailed designs document Conducting unit testing using automated unit test frameworks Identifying risk and conducting mitigation action planning Conducting configuration of your own work Reviewing the work of other developers and providing feedback Using coding standards and best practices to ensure quality Mentor and monitor task completeness Status reporting of daily activities to reporting manager Technical Back End Skills Good Java/J2EE Experience Extensive Hibernate (JPA) experience Extensive DB experience (MS SQL Server) Experience in our toolsets - JIRA/Jenkins/Maven/SVN Experience with automated testing tools (JUnit/Jasmine/Karma) Experience in REST and Microservices Spring Boot/Spring Data/Spring Batch Experience in multiple UI Frameworks (React or Angular) Good understanding of React Concepts Component Life cycle Component Driven Development Stateful vs Stateless components Experience with using REST APIs with React Components (promise, fetch etc.) Experience in CI/CD configuration

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

Job Title: Odoo Developer Position: System Engineer Experience: 4+Years Category: Software Development/ Engineering Main location: All CGI Locations + Noida Position ID: J0525-0375 Employment Type: Full Time Job Description : Technologies Used: Odoo Platform v15+ Based Development. Experience with Odoo development and customization. Odoo User base (Logged-in users) > 1000 Users . Odoo on Kubernetes (Microservices Based Architecture) with DevOps understanding. Knowledge of Odoo modules, architecture, and APIs. Ability to integrate Odoo with other systems and data sources. Capable of creating custom modules. Scale Odoo deployments for a large number of users and transactions. Programming. Languages: Proficiency in Python is essential. Experience with other programming languages (e.g., Java, Scala) is a plus. Data Analysis and Reporting: Ability to analyse and interpret complex data sets. Experience with data visualization tools (e.g., Superset). Experience in Cassandra (4.0+) along with Query Engine like Presto. Proficiency in SQL and experience with relational databases (e.g., PostgreSQL, MySQL). Experience with ETL tools and processes. Data Structure & Data Modelling Knowledge of data warehousing concepts and technologies. Familiarity with big data technologies (e.g., Hadoop, Spark) is a plus. Experience in managing and processing large Datasets DevSecOps: Experience with containerization, Docker, and Kubernetes clusters. CI/CD with GitLab. Methodologies: Knowledge and experience of SCRUM and Agile methodologies. Operating Systems: Linux/Windows OS. Tools Used: Jira, GitLab, Confluence. Other Skills: Strong problem-solving and analytical skills. Excellent communication and collaboration abilities. Attention to detail and a commitment to data quality. Ability to work in a fast-paced, dynamic environment. Skills: English ERP System CSB Postgre SQL Python Hadoop Ecosystem (HDFS) Java

Education Qualification: Bachelors degree in Computer Science or related field or higher with minimum 3 years of relevant experience. Position Description: Experience in design and implementation of data pipelines using DataStage with strong SQL and decent Unix knowledge. Should able to - create, review and understand technical and requirement documents - participate in walkthrough reviews of technical specifications, programs, code and unit testing - plan design and implementation ensuring solution quality - estimate tasks/time require to perform design, coding and unit testing - ensure highest quality standards are followed in the ETL pipelines designs and follow best practices - perform detailed/technical analysis, coding, validation and documentation of new features - perform data transformations, analysis, performance tunings and optimizations , etc. Required qualifications to be successful in this role: Must-Have Skills: Strong analytical and problem-solving skills. ETL developer(IBM Datastage) Additional Skills - Teradata . DB2 , SQL and Unix Optional - SAS SIS Excellent communication and collaboration abilities. Ability to work in a fast-paced, dynamic environment with minimal supervision. Attention to detail and a commitment to data accuracy.Good-to-Have Skills: Knowledge of - SDLC: Agile mostly, Data warehousing techniques, data modeling, Git, CI/CD pipelines, etc. CGI is an equal opportunity employer. In addition, CGI is committed to providing accommodation for people with disabilities in accordance with provincial legislation. Please let us know if you require reasonable accommodation due to a disability during any aspect of the recruitment process and we will work with you to address your needs. Life at CGI: It is rooted in ownership, teamwork, respect and belonging. Here, you ll reach your full potential because Your work creates value. You ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise You ll shape your career by joining a company built to grow and last. You ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons Skills: Data Migration ETL Teradata Unix

Ability to take responsibility of application services including development , managing, deploying and Solution real time problems related to bugs, performance ,infrastructure and added new features Design, develop, and maintain high-quality backend applications using Java ,Spring Boot (JDK 17),Web/REST services . Collaborate with architects and stakeholders to understand high-level requirements and translate them into working solutions. Write optimized SQL queries and work extensively with Oracle databases. Develop and execute comprehensive unit tests using JUnit to ensure code quality and reliability. Work on multi-threaded applications and debug complex issues in distributed systems. Collaborate with DevOps teams to implement and maintain CI/CD pipelines. Write and maintain scripts using Groovy (nice to have). Operate efficiently in a Linux-based environment. Ensure attention to detail in code, documentation, and communication. Participate in code reviews and mentor junior team members. Communicate effectively with cross-functional teams to clarify requirements and present solutions. Required qualifications to be successful in this role: Must-Have Skills: Strong experience with Java (JDK 17) and Spring Boot Proficient in Oracle, SQL, and writing complex queries Comfortable working in Linux environments Strong grasp of multithreading, concurrency, and debugging Solid understanding of JUnit and unit testing best practices Experience with CI/CD tools (e.g., Jenkins, GitLab CI, GitHub Actions) Excellent problem-solving skills and ability to work independently High level of attention to detail Strong communication skills CGI is an equal opportunity employer. In addition, CGI is committed to providing accommodation for people with disabilities in accordance with provincial legislation. Please let us know if you require reasonable accommodation due to a disability during any aspect of the recruitment process and we will work with you to address your needs. Life at CGI: It is rooted in ownership, teamwork, respect and belonging. Here, you ll reach your full potential because Your work creates value. You ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise You ll shape your career by joining a company built to grow and last. You ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons Come join our team, one of the largest IT and business consulting services firms in the world Skills: Hibernate Java Enterprise Editions JEE RESTful (Rest-APIs) SCRUM Spring Spring Boot