105 Cicd Methodology Jobs - Page 4

Number of Roles: 1 Key Responsibilities: Develop and maintain re-usable CI/CD pipelines using tools like Jenkins, GitHub Actions, and ArgoCD. Integrate security scanning and code quality tools such as SonarQube, Checkov, and Snyk into deployment pipelines. Automate compliance checks and ensure security policies are enforced throughout the deployment lifecycle. Collaborate with infrastructure and application teams to align deployment practices with platform engineering standards. Monitor pipeline performance, identify bottlenecks, and optimize workflows. Ensure deployment workflows are automated, efficient, and compliant with security best practices. Required Skills: Strong experience with CI/CD tools (Jenkins, GitHub Actions, ArgoCD, Azure DevOps ). Hands-on expertise in security scanning and quality tools like SonarQube, Checkmarx, Xray, and Snyk . Proficiency in scripting languages ( Python, Bash, PowerShell ) and automation. Solid understanding of cloud services ( Azure , AWS, GCP ) and their deployment models. Knowledge of containerization and orchestration tools like Docker and Kubernetes . Strong troubleshooting skills and ability to work collaboratively in cross-functional teams. Familiarity with monitoring and observability tools (Prometheus, Grafana, Datadog). Relevant security certifications (CISSP, CKA, or cloud security certs)

We are building a banking platform that enables teams to create products at scale and powers digital channels to deliver compelling experiences in a dramatically faster fashion. As an Engineer, you will be responsible for building this cutting-edge technology framework that facilitates developer productivity without compromising on quality at enterprise scale. We look first and foremost for people who are passionate about solving business problems through innovation and engineering practices. Youll be required to apply your depth of knowledge and expertise to all aspects of the software development lifecycle, as well as partner continuously with your many stakeholders on a daily basis to stay focused on common goals. We embrace a culture of experimentation and constantly strive for improvement and learning. We welcome diverse perspectives and people who are not afraid to challenge assumptions. Our engineers are expected to involve themselves in the full product lifecycle and share their opinions about the direction of our products. Our mission is to accelerate the pace of financial innovation and build new financial products. Our platform streamlines the process of launching and iterating financial products. Responsibilities: Have a passion for automation and optimization. Have an aptitude for working with engineers to improve their experience. Have a drive to proactively identify and resolve points of friction in CI/CD processes while pushing towards best-in-class capabilities. Have real world experience in DevOps across a variety of technology stacks and at multiple levels of the stack. Be a natural communicator and capable of working with geographically diverse colleagues to collaborate on issues between teams and subject matter domains. Put the customer first and advocate on their behalf when we design and roll out new and improved capabilities. Qualifications: 4+ years Engineering and/or Sysadmin experience, including Linux infrastructure management. Strong understanding of application containerization through Docker. Direct experience with CI/CD & release orchestration tools (Jenkins, GitHub Actions, GitLab Pipelines, CircleCI, XL Release, etc). Direct experience with infrastructure-as-code tools (Ansible/Terraform). Fluent in scripting through Python and common Linux shell scripts. Working knowledge of observability systems (Prometheus/Splunk/ELK) as well as monitoring and performance optimization. Working knowledge of data visualization capabilities (Splunk/Kibana/Grafana). Working knowledge of modern infrastructure architecture, networking and security principles in public, private and hybrid cloud-based environments. Familiarity with infrastructure virtualization (VMWare). Familiarity with cloud platform management (AWS/GCP/Kubernetes/OpenShift)

Company Profile Our client is a global IT services company that helps businesses with digital transformation with offices in India and the United States. It helps businesses with digital transformation, provide IT collaborations and uses technology, innovation, and enterprise to have a positive impact on the world of business. With expertise in the fields of Data, IoT, AI, Cloud Infrastructure and SAP, it helps accelerate digital transformation through key practice areas - IT staffing on demand, innovation and growth by focusing on cost and problem solving. Location & work Mumbai (On-site), India Employment Type - Full Time Profile Computer Vision Tech Architect Preferred experience – 8 to 10 years The Role: We are looking for a skilled and experienced Computer Vision Tech Architect with expertise in designing and implementing advanced computer vision systems. You are responsible for overseeing the architectural aspects of projects, defining the technical vision, and ensuring alignment with organizational goals. This position involves a deep understanding of computer vision principles, machine learning, and software engineering, coupled with the ability to lead and mentor a team to deliver innovative and impactful solutions in the field of computer vision. Responsibilities: Technical Leadership : Lead a team of Computer Vision engineers and developers, providing technical guidance, mentoring, and fostering a collaborative environment. Driving the technical vision and strategy for application development, particularly in the areas of 3D object detection and multiple-camera feed processing. 3D Object Detection: Leveraging expertise in 3D object detection algorithms and methodologies to design and implement cutting-edge solutions. Collaborating with the research team to integrate the latest advancements in 3D object detection into practical, scalable applications. Multiple Camera Feed Processing : Designing and implementing systems for efficient processing and analysis of multiple camera feeds in real time. Optimizing algorithms and workflows to handle large-scale data from diverse camera sources. Technical Architecture : Developing and implementing the overall technical architecture for applications, ensuring scalability, reliability, and performance. Collaborating with cross-functional teams to integrate computer vision components into larger application ecosystems. Knowledge and experience in selecting, configuring, and optimizing hardware for an efficient product ecosystem. Experience in creating the entire Dev Ops setup required for application development with the ability to choose GPUs, Media Servers, etc. Broadcast Software Experience : Demonstrating experience working with broadcast software and understanding the unique challenges and requirements of the broadcast industry. Integrating solutions seamlessly with broadcast systems, ensuring compatibility and adherence to industry standards. Module-Level Thinking: Applying a modular and scalable approach to system design, breaking down complex tasks into manageable and reusable modules. Conducting thorough module-level thinking to enhance system flexibility, maintainability, and ease of future enhancements. Hardware Acceleration: Evaluating and implementing hardware acceleration solutions, such as GPUs or specialized processors, for optimizing applications. Collaborating with hardware engineers to ensure seamless integration between software and hardware components. Research and Development: Staying abreast of the latest trends, research, and advancements in application development, particularly in the domains of 3D object detection and camera feed processing. Contributing to R&D efforts to explore and implement innovative solutions, considering hardware constraints and opportunities. Collaboration and Communication: Collaborating with cross-functional teams, including computer vision and hardware engineers, software developers, and researchers, to ensure seamless deployment of applications. Communicating technical concepts effectively to both technical and non-technical stakeholders. Must-Have Qualifications: Bachelor’s/Master’s/Ph.D. degree in Computer Science, Electrical Engineering, or a related field. Total 8+ years’ experience with at least 3 years leading the technical architecture setup. 5-6 years of hands-on experience in integrating Computer Vision systems. Must know end-to-end technical architecture, handling large datasets and real-time processing pipelines. Strong programming skills in languages such as Python and C++ and familiarity with relevant frameworks (OpenCV, TensorFlow, PyTorch). Experience with hardware acceleration, GPU programming, and parallel computing. Preferred Qualifications: Proven experience in leadership and code reviews. Familiarity with DevOps, CI/CD pipelines, and cloud-based deployment Knowledge of hardware selection, configuration, and system optimization. Good to have experience in Broadcast software and an understanding of the broadcast industry's unique requirements. Application Method Apply online on this portal or on email at careers@speedmart.co.in

About the role: We are looking for an AI Technical Analyst with a strong development background and a passion for testing AI-driven applications. This is not a traditional QA role need someone who understands automation testing, software development principles, and Gen AI concepts. You will work in a telecom-focused environment, testing AI-driven solutions, ensuring quality, reliability, and performance of applications leveraging LLMs, transformers, and other AI models. If you're an analytical thinker, a problem solver, and a fast learner who thrives in a cutting-edge AI space, this role is for you! Responsibilities: Design, develop, and execute automated test cases for AI-powered applications, ensuring high-quality releases. Develop and maintain test frameworks for AI/ML-driven software components, including LLMs. Validate AI models' outputs by defining and executing test strategies for accuracy, consistency, and fairness. Collaborate with developers and data scientists to identify edge cases, biases, and failure modes in AI models. Evaluate AI-driven workflows within telecom applications, ensuring compliance with functional and performance benchmarks. Continuously improve testing methodologies for AI/LLM applications, incorporating best practices in automation and validation. Document test results and provide feedback to enhance AI models' robustness and reliability. Requirements: 3-5 years of experience in QA automation, software testing, or software development. Hands-on programming experience with Python, Java, or JavaScript. Strong experience in test automation (e.g., Selenium, Playwright, Cypress, or similar). Understanding of AI/ML concepts, particularly LLMs, transformers, and Gen AI. Familiarity with API testing (Postman, REST Assured, etc.) and CI/CD pipelines. Strong analytical skills and problem-solving mindset. Quick learner who can adapt to evolving AI technologies. Experience with cloud platforms (AWS, GCP, Azure) is a plus. Preferred Qualifications Exposure to testing AI models (e.g., prompt engineering, model evaluation). Familiarity with AI-powered test automation tools. Experience working in the telecom sector (not required but a bonus). Knowledge of AI ethics and bias testing.

Project Description: Grid Dynamics aims building enterprise generative AI framework to deliver innovative, scalable and efficient AI-driven solutions across business functions.Due to constant scaling of digital capabilities the platform requires enhancements to incorporate cutting-edge generative AI features and meet emerging business demands. Platform should onboard brand new capabilities like Similarity Search (image,video and voice);Ontology and entity managment;voice and file mgmt [text to speech & vice-versa, metadata tagging, multi-media file support];Advanced RAG ; Multi-Modal capabilities Responsibilities: As an LLMOps Engineer, you will be responsible for providing expertise on overseeing the complete lifecycle management of large language models (LLM). This includes the development of strategies for deployment, continuous integration and delivery (CI/CD) processes, performance tuning, and ensuring high availability of our LLM services. You will collaborate closely with data scientists, AI/ML engineers, and IT teams to define and align LLM operations with business goals, ensuring a seamless and efficient operating model. In this role, you will: Define and disseminate LLMOps best practices. Evaluate and compare different LLMOps tools to incorporate the best practices. Stay updated on industry trends and advancements in LLM technologies and operational methodologies. Participate in architecture design/validation sessions for the Generative AI use cases with entities. Contribute to the development and expansion of GenAI use cases, including standard processes, framework, templates, libraries, and best practices around GenAI. Design, implement, and oversee the infrastructure required for the efficient operation of large language models in collaboration with client entities. Provide expertise and guidance to client entities in the development and scaling of GenAI use cases, including standard processes, framework, templates, libraries, and best practices around GenAI Serve as the expert and representative on LLMops Practices, including: (1) Developing and maintaining CI/CD pipelines for LLM deployment and updates. (2) Monitoring LLM performance, identifying and resolving bottlenecks, and implementing optimizations. (3) Ensuring the security of LLM operations through comprehensive risk assessments and the implementation of robust security measures. Collaborate with data and IT teams to facilitate data collection, preparation, and model training processes. Practical experience with training, tuning, utilizing LLMs/SLMs. Strong experience with GenAI/LLM frameworks and techniques, like guardrails, Langchain, etc. Knowledge of LLM security and observability principles. Experience of using Azure cloud services for ML Experience of using Azure cloud services for ML Min requirements: Programming languages: Python Public Cloud: Azure Frameworks: K8s, Terraform, Arize or any other ML/LLM observability tool Experience: Experience with public services like Open AI, Anthropic and similar, experience deploying open source LLMs will be a plus Tools: LangSmith/LangChain,guardrails Would be a plus: Knowledge of LLMOps best practices. Experience with monitoring/logging for production models (e.g. Prometheus, Grafana, ELK stack) We offer: Opportunity to work on bleeding-edge projects Work with a highly motivated and dedicated team Competitive salary Flexible schedule Benefits package - medical insurance, sports Corporate social events Professional development opportunities Well-equipped office

Project Description: Grid Dynamics wants to build a centralized, observable and secure platform for their ML, Computer Vision, LLM and SLM models. Grid Dynamics wants to onboard a vast number of AI agents, able to cover multiple required skills, ensuring a certain level of control and security in regards to their usage and availability. The observable platform must be vendor-agnostic, easy to extend to multiple type of AI applications and flexible in terms of technologies, frameworks and data types. This project is focused on establishing a centralized LLMOps capability where every ML, CV, AI-enabled application is monitored, observed, secured and provides logs of every activity. The solution consists of key building blocks such monitor every step in a RAG, Multimodal RAG or Agentic Platform, track performances and provide curated datasets for potential fine-tuning. Alignment with business scenarios, PepVigil provides also certain guardrails that allow or block interactions user-to-agent, agent-to-agent or agent-to-user. Also, Guardrails will enable predefined workflows, aimed to give more control over the series of LLM chains. Details on Tech Stack Job Qualifications and Skill Sets Advanced degree in Data Science, Computer Science, Statistics, or a related field Setting up Agent Mesh (LangSmith) Setting up Agent communication protocols (JSON/XML etc) Setting up message queues, CI/CD pipelines (Azure Queue Storage, Azure DevOps) Setting up integrations Langgrah, LangFuse Knowledge on Observability tool Arize-Phoenix tools Managing Agent Registry, Integrating with AgentAuth framework like Composio Setting up AgentCompute (Sandpack, E2BDev, Assistant APIs) Integration with IAM (Azure IAM, OKTA) Performing/Configuring Dynamic Orchestration and agent permissions Tech Stack Required: ML MLOPs Agent (Agent / Agent Mesh) LangFuse, LanChain, LangGraph Deployments (Docker, Jenkins, Kubernetes) Cloud Platforms: Azure/AWS/GCP We offer: Opportunity to work on bleeding-edge projects Work with a highly motivated and dedicated team Competitive salary Flexible schedule Benefits package - medical insurance, sports Corporate social events Professional development opportunities Well-equipped office

Position: Sr. Database Administrator Location: Bengaluru, HSR layout Sector 06 Job Type: Full-time, Work from Office (On-site) Working days: Monday to Friday Salary: Range between 28 to 35 LPA Job Description: Key Responsibilities Database Management and Administration Design, implement, and maintain data models, database schemas, and table structures. Manage and maintain PostgreSQL, MSSQL, MySQL, and Redis databases, ensuring high availability, security, and optimal performance. Perform routine database maintenance tasks, including backups, restoration, disaster recovery planning, and database monitoring. Plan and execute database upgrades, patches, and version migrations with minimal downtime. User access management Strong understanding of sharding keys, data distribution, and partitioning strategies. DDL Performance Optimization Analyze and understand query execution plans to identify and resolve performance bottlenecks. Optimize query performance through tuning, indexing, partitioning and resource utilization monitoring. Implement database monitoring and alerting solutions to proactively address potential issues. Security and Compliance Implement security measures, such as user access controls, data encryption, and vulnerability assessments. Perform regular audits and ensure databases comply with industry standards and best practices. Integration and Collaboration Collaborate with developers to design and implement database schemas, indexes, partitions and stored procedures. Work with data engineers and scientists to ensure smooth data ingestion and transformation processes. Monitor and optimize data transfer and synchronization processes to ensure seamless integration. Disaster Recovery Apply knowledge of disaster recovery principles and practices, including planning, testing, and execution of backup/restore operations in AWS environment. Troubleshoot and resolve database-related issues, including performance problems, replication failures, and data inconsistencies. Continuous Improvement Stay updated with the latest database technologies, trends, and best practices. Suggest and implement improvements to database systems and processes to enhance performance, scalability, and reliability. Required Skills and Qualifications 7+ years of experience as a Database Administrator or in a similar role. Proficiency in managing Oracle, PostgreSQL, MongoDB, MySQL, and Redis databases. Strong understanding of query execution plans, query tuning, and performance optimization. In-depth knowledge of disaster recovery principles, including backup/restore operations. Familiarity with change request processes and 24x7 support for production environments. Experience implementing database security measures and conducting vulnerability assessments. Proficiency in troubleshooting and resolving complex database issues. Strong analytical, problem-solving, and communication skills. Knowledge of scripting languages like Python, Bash, or PowerShell for automation. Preferred Qualifications Experience with cloud-based database solutions such as AWS RDS or standalone databases or cluster running in EC2. Knowledge of scripting languages like Python, Bash, or PowerShell for automation. Any Database certifications. Familiarity with CI/CD pipelines and DevOps practices.

Job Title: DevOps Engineer 5 -8 Years of Experience Responsibilities: Design, implement, and maintain automated deployment pipelines for continuous integration and continuous delivery ( CI/CD Pipeline ). Manage and maintain cloud infrastructure using tools such as AZURE Platform . Monitor system performance, troubleshoot issues, and ensure high availability of applications. Collaborate with development teams to design and implement infrastructure as code (IaC) using tools like Terraform Develop and maintain configuration management processes and tools. Implement and manage containerization and orchestration technologies such as Docker and Kubernetes . Automate manual processes to improve efficiency and reduce human error. Hands-on experience with containerization and orchestration tools (e.g., Docker, Kubernetes). Familiarity with CI/CD tools ( AZURE DevOps , Github, Gitlab or Azure Repo) Experience with microservices architecture and serverless computing. Stay current with industry trends and emerging technologies to continuously improve DevOps practices. CI/CD with data platform service is an added advantage Certification in relevant DevOps or cloud technologies

The Cloud DevOps Engineering team globally serves our internal Roche customers and IT partners designing, building and operating modern distributed systems on a Public and private Cloud Infrastructure globally (Europe, NALA and APAC). As a cloud DevOps engineer, you will work with the latest technologies in a fast-paced engineering environment. You will contribute to a cloud DevOps team to ensure customer service management, managed services operations, and consistent product improvement engineering. Collaboration with customers, product engineering and operations is critical to success. What we are looking for : 4 to 7 years of experience working in Devops Experience with CI/CD tools such as Jenkins, Gitlab CI/CD, GitHub Actions, Azure DevOps Service. Experience with containers/serverless services like Kubernetes, Docker. Strong scripting skills in languages like Python, Bash, or PowerShell. AWS Architect Professional or equivalent working knowledge on AWS environments. Experience working with global stakeholders/teams

Must Have: Proven experience as a DevOps Engineer with a focus on cloud platforms, specifically AWS and Azure. Strong expertise in managing and deploying applications on cloud platforms using IaC tools. Experience with CI/CD tools such as GitHub Actions, Jenkins, GitLab CI, or Azure DevOps. Proficiency in scripting languages such as Python, Bash, or PowerShell. Experience with containerization and orchestration tools like Docker, Amazon ECS, and Kubernetes. Familiarity with GenAI applications and platforms, particularly RAG and Agentic. Strong problem-solving skills and the ability to work independently and as part of a team. Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders. Relevant certifications in AWS, Azure, or DevOps practices are a plus.

Mid C# .NET Developer We are looking for a Middle / Middle+ Fullstack C# .NET Developer to join our Indian Office. Responsibilities: Implementing new features for program modules. Implementing new and updating existing application modules. Finding out application bottlenecks. Making and executing a plan for their elimination. Working in a team along with many professionals who you can learn from and share your knowledge Working in a team following Scrum methodology Requirements: 5+ years of experience in the software industry; 3+ years of experience in the .NET environment; 2+ years of experience in the React or Angular; Fluency in C# Understanding and using of SOLID principles Experience with microservices building Experience with SQL or NoSQL databases Experience with any of ORMs (Entity Framework, Dapper) Experience with Git English level: B2 Optional Bonus Skills: Knowledge and use of the CI/CD pipeline. Ability to customize/modify processes for different environments. Experience with Cloud services like: Azure Message Bus or other message queues Other programming languages and wish get more experience.

Senior QA - Automation Tester Experience: 4 - 8 Years Salary: Competitive Preferred Notice Period : Within 30 Days Shift : 10:00 AM to 6:00 PM Opportunity Type: Onsite - Bengaluru Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Partners) What do you need for this opportunity? Must have skills required : Typescript, Selenium, JavaScript, Playwright, CI/CD, Java, Cypress Good to have skills : API Testing, POSTMAN, Agile, Cypress, GIT Our Hiring Partner is Looking for: Senior QA - Automation Tester who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player with a positive attitude and a desire to make a difference, then we want to hear from you. Role Overview Description About the Role: We are seeking a proficient Senior QA - Automation Tester with 4+ years of experience in automation testing and a strong background in framework development. The ideal candidate will demonstrate expertise in designing, building, and optimizing automation frameworks using TypeScript/JavaScript and tools like Selenium, Playwright, or similar technologies. You will play a pivotal role in ensuring the quality, performance, and reliability of our software products by integrating robust automation strategies into the development lifecycle. Roles and Responsibilities: Design, develop, and maintain robust, scalable, and efficient automation frameworks tailored to project requirements. Demonstrate expertise in solving complex problems within the framework, ensuring optimal performance and reusability. Optimize existing frameworks by incorporating best practices and innovative solutions. Collaborate with development teams to integrate automation into the continuous integration/continuous deployment (CI/CD) pipeline. Develop and execute automated test cases to validate software functionality, performance, and reliability. Perform script debugging, issue resolution, and test execution analysis to ensure comprehensive test coverage. Create reusable and modular scripts to streamline testing processes and improve efficiency. Exhibit strong coding proficiency in TypeScript/JavaScript, with the ability to write clean, maintainable, and efficient code. Solve problem statements related to framework enhancements and automation challenges. Stay updated with the latest automation tools, techniques, and trends to ensure cutting-edge practices are employed. Document automation scripts, framework architecture, and test results with precision and clarity. Generate detailed defect reports, including root cause analysis, and provide actionable insights. Prepare periodic QA reports to highlight automation progress, metrics, and key findings to stakeholders. Actively participate in Agile ceremonies, including sprint planning, daily stand-ups, and retrospectives, to align testing efforts with project timelines. Collaborate with product managers, developers, and other stakeholders to ensure test coverage meets business and technical requirements. Provide quality-focused feedback early in the development lifecycle, including during requirement and design reviews. Identify areas for improvement in automation practices and processes, driving initiatives to enhance overall testing efficiency. Contribute to the development of team standards, guidelines, and best practices for automation testing. Mentor and guide junior QA team members, fostering a collaborative and innovative Environment. Skills and Requirements: Strong proficiency in TypeScript/JavaScript, with experience in developing and maintaining automation frameworks. In-depth understanding of Playwright and any other automation tools and technologies such as Selenium or Cypress. Hands-on experience in integrating automation with CI/CD pipelines. Excellent problem-solving skills, with the ability to address and resolve complex automation challenges. Familiarity with API testing and associated tools like Postman or RestAssured/Axios. Solid understanding of Agile methodologies and test automation processes. Effective communication and collaboration skills to work within cross-functional teams. Experience with version control systems like Git and test management tools. Strong analytical skills and attention to detail to ensure high-quality automation deliverables. Knowledge of performance testing tools is a plus. Self-driven and proactive approach to learning new tools and technologies relevant to automation testing. How to apply for this opportunity Register or log in on our portal Click 'Apply,' upload your resume, and fill in the required details. Post this click Apply Now' to submit your application. Get matched and crack a quick interview with our hiring partner. Land your global dream job and get your exciting career started! About Our Hiring Partner: SignDesk is a global provider of AI-powered document automation solutions aimed at helping businesses enhance productivity, optimize internal and customer interfacing workflows, and achieve their digital transformation goals. SignDesks scalable product suite provides total automation solutions for client & business verification, digital evidence creation with e-signatures, digital stamping, recurring debit services & end-to-end contract management. About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. You will also be assigned to a dedicated Talent Success Coach during the engagement. ( Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Key Responsibilities: Collaborate with clients to understand their business objectives, technical landscape and requirements related to GitHub Enterprise. Define, design and implement reusable end-to-end GitHub Enterprise solutions that align with clients needs including repository migration, CI/CD workflows, security, and integration with existing systems. Orchestrate the implementation and configuration of GitHub Enterprise instances, ensuring high availability, scalability, and performance. Develop custom solutions and integrations to extend the capabilities of GitHub Enterprise and integrate with other systems. Provide technical guidance and best practices to clients and internal teams on GitHub Enterprise architecture, configuration, and usage. Conduct technical workshops, training sessions, and knowledge sharing sessions to empower clients and internal stakeholders with GitHub Enterprise expertise. Collaborate with cross-functional teams, including sales, engineering, and support, to drive successful outcomes. Contribute to pre-sales activities, creating technical proposals and participating in client meetings to understand requirements. Staying updated with the latest GitHub features and industry best practice and providing recommendations for their adoption Qualifications: Bachelor s degree or equivalent in Computer Science, Engineering or a related field, or additional comparable experience At least 5 years of experience in an Architect role 1+ years of hands-on experience in implementing, and supporting GitHub Enterprise solutions Experience in GitHub Administration, migration and training Experience in GitHub Advanced Security, GitHub Actions, and GitHub Repos, with a focus on designing effective CI/CD workflows and integrating with other systems. Excellent communication, teamworking and interpersonal skills, with the ability to effectively engage with clients, stakeholders, and team members at all levels. Strong problem-solving skills and the ability to thrive in a fast-paced, dynamic environment. GitHub certifications and relevant Cloud and DevOps industry certifications are a plus.

The Senior Test Lead (TOSCA (Tricentis)) at HCL will be responsible for leading and managing the testing activities using the TOSCA tool. The role involves ensuring high quality and timely delivery of testing requirements and collaborating with cross functional teams to achieve project objectives. Key Responsibilities 1. Lead testing efforts, including test planning, test case design, test execution, and defect management using tosca. 2. Work closely with stakeholders to understand project requirements and translate them into test scenarios. 3. Mentor and provide guidance to the testing team on tosca tool functionalities and best practices. 4. Collaborate with development and business teams to resolve issues and ensure smooth testing processes. 5. Develop automation frameworks and scripts using tosca for efficient test execution. 6. Stay updated on tosca tool enhancements and best practices to continuously improve testing processes. 7. Prepare test reports, track testing progress, and communicate status to project stakeholders. Skill Requirements 1. Proficiency in using tosca (tricentis) for test automation and management. 2. Strong knowledge of test planning, test design, and test execution processes. 3. Experience in leading testing teams and projects, with a focus on delivering high-quality results. 4. Excellent communication skills and the ability to work collaboratively in a cross functional environment. 5. Analytical mindset with problem-solving abilities to identify and resolve testing issues efficiently. TOSCA Certification would be a plus.

Urgent requirement of Java Backend Developer -- Virtual Inteview on 8th March -- same day offer Interested candidates can share their resume on ritu.aggarwal@thehrsolutions.in or can contact on 9220708560. Job Title: Java Backend DeveloperLocation: Location : Pan India Job Type: Full-time Department: [Department Name] About Us: [Company Name] is a leading [industry] company, focused on delivering innovative and scalable technology solutions. We are currently seeking an experienced Java Backend Developer to join our talented engineering team and work on cutting-edge solutions. Role Overview: As a Java Backend Developer, you will be responsible for designing, developing, and maintaining backend systems, focusing on Java Microservices architecture. You will work on building scalable and high-performance applications, integrating with REST APIs, and deploying solutions on AWS. You will also be expected to implement CI/CD pipelines to automate the deployment process. Key Responsibilities: Design and implement Java-based backend services and applications using Spring Boot and Java Microservices . Build and expose RESTful APIs for frontend integration and communication. Develop, test, and maintain scalable microservices applications with a focus on high availability and performance. Work with AWS services (such as EC2, S3, Lambda, RDS, etc.) for cloud-based deployments. Implement CI/CD pipelines using tools like Jenkins, GitLab CI, or AWS CodePipeline to streamline development and deployment processes. Collaborate with frontend developers, architects, and other team members to ensure seamless application performance. Write clean, maintainable, and efficient code following best practices. Participate in code reviews, design discussions, and sprint planning sessions. Troubleshoot, debug, and optimize backend services for performance and scalability. Required Skills and Qualifications: Strong proficiency in Java with solid experience in Java 8+ . Hands-on experience with Spring Boot and building Microservices architecture. Proven experience working with REST APIs and understanding of web services protocols. Experience with AWS and various cloud-native services. Familiarity with CI/CD practices and tools (e.g., Jenkins, GitLab CI, AWS CodePipeline). Good understanding of database technologies (SQL, NoSQL databases like MySQL, MongoDB, etc.). Knowledge of version control using Git and familiarity with GitHub, GitLab, or Bitbucket. Experience in deploying applications on cloud platforms, especially AWS . Excellent problem-solving skills and attention to detail. Ability to work in an agile environment with cross-functional teams. Strong communication and collaboration skills. Preferred Qualifications: Experience with containerization technologies like Docker and orchestration with Kubernetes . Familiarity with message brokers (e.g., Kafka, RabbitMQ) and event-driven architecture . Knowledge of monitoring and logging tools (e.g., ELK stack, Prometheus, Grafana). Understanding of security best practices in cloud-based applications. Role & responsibilities Preferred candidate profile Perks and benefits

We are seeking a highly skilled Lead DevOps Engineer to oversee and manage our cloud infrastructure, CI/CD pipelines, and overall DevSecOps strategies. This role is critical for ensuring smooth deployment processes, cost-effective cloud management, and robust security practices across multiple platforms. The ideal candidate will have strong expertise in cloud platforms such as AWS, Azure, or GCP, along with a deep understanding of FinOps and DevSecOps principles. Responsibilities Oversee cloud infrastructure administration focusing on AWS while supporting Azure and GCP environments as required. Monitor and enhance system reliability, incident management, and fault-tolerant infrastructure. Ensure compliance with DevSecOps best practices, integrating security into the development lifecycle. Optimize cloud costs and efficiency, driving FinOps practices for resource utilization. Monitor system performance and health using telemetry tools, identifying potential issues proactively. Automate processes to reduce manual intervention and enhance system reliability. Troubleshoot critical issues and enhance system performance. Design, implement, and manage CI/CD pipelines for seamless software delivery. Ensure compliance with industry security standards, including HITRUST, SOC 2, and similar frameworks Lead effective project management efforts, ensuring timely delivery of objectives while mentoring and managing junior engineers Qualifications: Bachelors degree in CS or ECE. 6+ years of DevOps experience, including 2+ years in leadership. Proficiency in AWS (preferred), Azure, or GCP cloud platforms. In-depth knowledge of Kubernetes for container management. Expertise in cloud-native deployment architectures using tools like Kubernetes, Crossplane, Terraform, Helm, and ArgoCD. Expertise in DevSecOps and integrating security at all stages of the development pipeline. Hands-on experience with FinOps for cloud cost optimization. Familiarity with telemetry and monitoring tools like Prometheus, Grafana, or ELK stack. Proficiency in shell scripting, and knowledge of Python programming Demonstrated experience in system reliability engineering and incident management. Strong communication, leadership, and mentorship skills, with a proven track record of effective project and people management. Familiarity with AI-first systems or prior experience supporting AI-based workloads is a plus.

We are looking for a Senior AEM Developer with 5+ years of experience in AEM 6.x+, Sling, OSGi, JCR, Dispatcher, and AlpineJS. Must have strong front-end skills in JavaScript, HTML5, CSS3 and experience with RESTful APIs, Git, and CI/CD.

Job Title: Microsoft Power Platform Technical Delivery Lead Experience required: 8-10 years Salary offered: 20-30 LPA Location: Hyderabad Working Days: Monday to Friday No. of Positions: 1 Key Responsibilities Project Planning and Management: Lead the planning and management of Power Platform projects, including scoping, resource allocation, timeline management, and risk assessment. Develop project plans, set clear objectives, and monitor progress to ensure timely and successful project delivery. Technical Leadership: Provide technical leadership and guidance to the project team, including developers, consultants, and other stakeholders involved in Power Platform implementations. Offer expertise in Power Apps, Power Automate, Power BI, and related technologies to drive efficient and effective solution development. Solution Architecture: Collaborate with business stakeholders and project teams to define the solution architecture for Power Platform projects. Design scalable, robust, and high-performing solutions that align with business requirements and adhere to best practices. Requirement Analysis: Work closely with clients and stakeholders to gather and analyse requirements, translating them into technical specifications and design documents. Ensure that the Power Platform solutions meet the business needs and objectives of the organisation. Technical Design and Development: Lead and oversee the technical design and development of Power Platform solutions. Provide guidance on data modelling, user interface design, workflow automation, data integration, and custom development to deliver high-quality solutions. Quality Assurance and Testing: Establish and implement quality assurance processes and standards for Power Platform projects. Conduct thorough testing, including unit testing, integration testing, and user acceptance testing, to ensure the stability, functionality, and reliability of the solutions. Technical Issue Resolution: Take ownership of technical issues and provide resolution or guidance to the project team. Troubleshoot and resolve complex technical challenges related to the Power Platform, ensuring smooth implementation and addressing any roadblocks. Stakeholder Communication: Effectively communicate and collaborate with key stakeholders, including clients, project managers, business analysts, and executive leadership. Provide regular updates on project status, milestones, risks, and dependencies, ensuring clear and transparent communication channels. Team Collaboration and Mentoring: Foster a collaborative and productive team environment. Support and mentor team members, providing guidance, knowledge sharing, and professional development opportunities to enhance their technical capabilities. Continuous Improvement: Stay updated with the latest advancements, features, and best practices related to the Power Platform. Continuously evaluate and enhance project delivery methodologies, tools, and processes to optimise efficiency and improve outcomes. Technical Proposals: Work with the Account team to identify opportunities, develop high quality proposals, and secure sign off from the concerned stakeholders. DevOps: Promotes DevOps practises to automate and streamline the Power Platform solution development and deployment process. Managed Services Support: Skills and knowledge to effectively troubleshoot, optimise performance, train end users, manage changes, ensure security and compliance, and drive continuous improvement for Power Platform solutions. Desired Experience Power Platform and related Technologies Expertise (8-10 years): Extensive hands-on experience and in-depth knowledge of the Microsoft Power Platform, including Power Apps, Power Automate, Power BI, and related technologies. Proficiency in designing, developing, and implementing solutions using the Power Platform is essential. Project Management: Proven experience in managing end-to-end projects involving the Power Platform, from requirements gathering to successful delivery. Strong project management skills, including scoping, resource management, risk assessment, and timeline management, are required to ensure project success. Solution Architecture: Demonstrated expertise in defining solution architectures for Power Platform projects. Experience in designing scalable, robust, and high-performing solutions that align with business objectives and adhere to best practices. Technical Leadership: Ability to provide technical leadership and guidance to a project team, including developers, consultants, and other stakeholders. Strong problem-solving skills and the ability to navigate complex technical challenges while driving effective execution are crucial. Business Analysis: Proficiency in gathering and analysing business requirements, translating them into technical specifications, and designing solutions that meet client needs. Understanding of business processes and the ability to align technical solutions with business objectives is important. Stakeholder Management: Proven ability to effectively engage and manage stakeholders at various levels, including clients, project managers, business analysts, and executive leadership. Strong communication and collaboration skills are essential to ensure clear and transparent communication throughout the project lifecycle. Team Collaboration and Mentoring: Experience in fostering a collaborative and productive team environment. The ability to mentor and guide team members, provide technical guidance, and support their professional development is important for driving successful project outcomes. Industry Knowledge: Familiarity with different industries and their specific business processes is valuable. Understanding industry-specific requirements and challenges enables the Technical Delivery Lead to design and deliver solutions that address specific business needs effectively. Continuous Learning: A mindset of continuous learning to stay updated with the latest advancements, features, and best practices related to the Power Platform. Keeping abreast of industry trends and exploring new technologies and tools within the Microsoft ecosystem is beneficial Licensing: Expertise in understanding and managing licensing requirements, costs, and compliance within the Microsoft Power Platform ecosystem. Ability to provide guidance on licensing options, manage licence allocations, and ensure licensing compliance for Power Platform projects. Safe Agile Delivery Methodology: Strong experience leading and managing Power Platform projects using Safe Agile methodologies. Knowledge and practical application of Safe Agile principles, ceremonies, and artefacts to ensure efficient and successful project delivery. Communication: Exceptional communication and interpersonal skills to effectively engage with clients, senior leadership, and cross-functional teams. Ability to influence and negotiate with stakeholders, resolve conflicts, and provide regular project updates and status reports. Documentation: Proficient in creating comprehensive project documentation, including project plans, technical specifications, solution architectures, risk assessments, and project governance documentation. Ability to drive documentation standards and ensure the availability of accurate and up-to-date project deliverables. DevOps: Prior experience of DevOps practices in automating and streamlining the build, development, testing, and monitoring of Power Platform solutions Desired Education Bachelors or master’s degree in computer science, Information Technology, or a related field Project Management Certifications (such as Project Management Professional (PMP)) ITIL Certifications Microsoft certifications in Power Platform (e.g., Power Platform App Maker, Power Platform Functional Consultant, Power Platform Developer)

Design, develop automated test suites Implement API tests to ensure reliability Collaborate with software developers and QA engineers Develop test automation frameworks Identify, document and track defects Perform performance and load testing of APIs

Snowflake Architect is responsible for designing, implementing, and optimizing data solutions using Snowflake Cloud Data Platform. They ensure scalability, security, and high performance in data warehousing, analytics, and cloud data solutions. Role & responsibilities 1. Architecture & Design Design end-to-end data solutions using Snowflake Cloud Data Platform. Define data architecture strategy, ensuring scalability and security. Establish best practices for Snowflake implementation, including data modeling, schema design, and query optimization. Design data lakes, data marts, and enterprise data warehouses (EDW) in Snowflake. 2. Data Engineering & Development Oversee ETL/ELT pipelines using Snowflake Snowpipe, Streams, Tasks, and Stored Procedures. Ensure efficient data ingestion, transformation, and storage using SQL, Python, or Scala. Implement data partitioning, clustering, and performance tuning for optimized query execution. 3. Security & Compliance Implement role-based access control (RBAC) and data governance policies. Ensure encryption, auditing, and data masking for security compliance. Define multi-cloud strategies (AWS, Azure, GCP) for Snowflake deployments. 4. Performance Optimization Optimize query performance and warehouse compute resources to reduce costs. Implement Materialized Views, Query Acceleration, and Caching to improve performance. Monitor Snowflake usage, cost management, and auto-scaling capabilities. 5. Integration & Automation Integrate Snowflake with BI tools (Tableau, Power BI, Looker), data lakes (S3, Azure Blob, GCS). Automate data workflows and pipeline orchestration using Airflow, dbt, or Snowflake Tasks. Implement CI/CD pipelines for data model deployments and schema changes. 6. Stakeholder Collaboration & Leadership Work closely with business analysts, data scientists, and IT teams to define requirements. Act as a technical advisor for Snowflake-related decisions and best practices. Provide mentorship and training to data engineers and analysts on Snowflake architecture. Key Skills Required: Snowflake Data Warehouse (Warehouses, Secure Data Sharing, Multi-Cluster Architecture) SQL, Python, Scala (for data processing and scripting) ETL/ELT & Data Pipelines (Informatica, Talend, dbt, Airflow) Cloud Services (AWS, Azure, GCP integration) Performance Tuning (Query Optimization, Snowflake Caching) Security & Governance (RBAC, PII Data Masking, Compliance) BI Tools Integration (Tableau, Power BI, Looker)

Strong programming background in Java, Perl, Python, and Shell scripting. Experience with Autosys (as a user).Expertise in DevOps practices, including CI/CD, UAT, and automation. skilled DevOps Engineer with Java and Unix Platform

-12-15 years of experience as a QE Test Lead, greenfield platform implementations. -Experience with test automation tools and frameworks (e.g., Selenium, Cypress, JUnit). -Experience with any of CMS like Sitecore, Contentful, Umbraco, Optimizely Required Candidate profile Knowledge of continuous integration/continuous delivery (CI/CD) pipelines. Certifications (e.g., ISTQB, Automation Testing Certification) are a plus. Comfortable working as per UK time zone.

Datamatics is a CMMI Level 5 company . Datamatics, a global Digital Solutions, Technology, and BPM Company, provides intelligent solutions for data-driven businesses to increase productivity and enhance the customer experience. With a completely digital approach, Datamatics portfolio spans across Information Technology Services, Business Process Management, Engineering Services, and Big Data & Analytics all powered by Artificial Intelligence. It has established products in Robotic Process Automation, Intelligent Document Processing, Business Intelligence, and Automatic Fare Collection. Datamatics services global customers across Banking, Financial Services, Insurance, Healthcare, Manufacturing, International Organizations, and Media & Publishing. The Company has a presence across 4 continents with major delivery centers in the USA, India, and Philippines. Job Role - Azure DevOps Architect Experience - 15+ Years Job Location - Mumbai & Bangalore - Work from office Note - We are looking for immediate joiners Roles & Responsibility 15+ years of overall IT experience and 7+ DevOps, with a focus on Azure. 12+years of IT experience and 6+ years of experience in DevSecOps Experience in Terraform, Azure Resource Manager (ARM0 templates, AWS CloudFormation, CDK or Terraform. Establish and manage CI/CD pipelines to automate the build, test, and deployment processes for cloud projects using Azure DevOps, Jenkins, Bamboo Experience with containerization technologies like Docker and Kubernetes Azure AKS, Helm chart Experience in monitoring and observability tools such as ELK, Prometheus, Data Dog, Azure Monitor Experience in Azure FinOps, cost controls, best practices Experience in Azure DevOps and Open source DevSecOps tools such as Jenkins, Bamboo, Maven, Gradle, Sonar etc. Experience in Sonar, Automated testing, JMeter Knowledge of scripting languages like PowerShell or Python. Strong understanding of networking, security, and governance in cloud environments. Familiarity with Agile and Scrum methodologies. Preferred Certifications: Microsoft Certified: AZ-400 Azure Solutions Architect Expert, Microsoft Certified: DevOps Engineer Expert - Certifications Interested candidates can drop their resume at bhakti.rajwada@datamatics.com Or Can reach out on 9833233055 for further discussion.

Strong in C++ development, debugging & unit testing (GTest) Hands-on in logic development & code implementation. Proficient in C++14 & test spec writing Expertise in build automation & Bazel Familiar with JIRA, Confluence, AWS AUTOSAR knowledge

Strong experience in building Data Lakes using AWS Cloud Platforms Stack.Proficiency with AWS technologies such as S3, EC2, Glue/Lake Formation (or EMR), Quicksight, Redshift, Athena, Airflow (or) Lambda + Step Functions + Event Bridge, Data and IAM.