3720 Continuous Integration Jobs - Page 48

Developer leads the cloud application development/deployment for client based on AWS development methodology, tools and best practices. A developer responsibility is to lead the execution of a project by working with a senior level resource on assigned development/deployment activities and design, build, and maintain cloud environments focusing on uptime, access, control, and network security using automation and configuration management tools Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Mandatory Skills: 3-7+ years of proven hands-on, full-stack development expertise with OOP (e.g., C++, Java) programming language Demonstrated ability to build and deploy microservices in a scalable high throughput workflow. Experience with various JavaScript frameworks, including but not limited to Vue.js, React, and Angular. Ability to adapt to new frameworks and libraries as needed. Experience with messaging systems across application stack (e.g., Kafka) Comfortable working in an agile software delivery environment, with Git and with exposure to CI / CD tools (e.g., Github, Docker, Jenkins) Secondary (nice to have skills)Proficiency in developing, deploying, and troubleshooting applications in both Linux and Windows environments. This includes familiarity with command-line interface Preferred technical and professional experience None

Roles & Responsibilities: Azure Security Posture and Azure Sentinel SIEM, Azure Security Center, Azure Policy, Azure Sentinel and Azure Monitor The focus of this team is to identify security vulnerabilities, remediate and implement security controls across MCS. Excellent stakeholder management skills and should be able to manage stakeholders at senior levels. Experience in proposing technical solutions in Microsoft. Experience in application security implementation using Azure AD Knowledge of CI and CD processes and Tools like AzureDevOPs Knowledge of defining build and release pipeline. Good understanding of cloud design patterns Ability to quickly perform POC on technically challenging requirements. Suggest tool/frameworks in given problem context Excellent written and oral communication skills Self-starter with quick learning ability and efficient Implementation skills with respect to country nuances Consultative and service bent of mind while dealing with key stakeholders Multi-task and should be able to work under stringent deadlines Ability to understand and work on various internal

5+ years of experience with Apex, Visual force and the salesforce.com APIs Strong knowledge with Lightning experience ( LWC ) Must have a Superbadge of LEX Able to design and write well-structured, easily maintainable, and well-documented code that balances beauty and pragmatism Deep understanding of web standards and technologies (e.g. HTTP, REST, and JSON) Experience with Continuous Integration and Continuous Delivery tools like Jenkins and Perforce/GIT Experience working with Agile/Scrum methodology Expert in debugging rich web applications Copado Fundamentals / Consultant certifications Benefits Multiple Office Locations: Hyderabad / Pune / Bangalore / Mumbai

As a member of the IBM Cloud – Fabric Core team, you can directly change and improve systems used by various teams throughout the organization, by sharing your ideas of new features and improvements. We strive to make IBM Cloud a place where you want to be – a place where you are proud to work and where you are motivated to produce the best results possible. A self-starter with a positive attitude and willingness to drive projects to completion in a fast-moving environment Design and develop innovative, company and industry affecting services using open source and commercial technologies at scale Take ownership and manage tasks that vary in size and scope depending on requirements Be inquisitive and learn from subject matter experts when given direction Required education Bachelor's Degree Preferred education Bachelor's Degree Required technical and professional expertise 4+ years of experience with Container Deployments (Kubernetes / Rancher /OpenShift) In-depth knowledge of Kubernetes architecture and components Experience with cluster setup and management Deep understanding of Kubernetes networking, storage & troubleshooting skills. Familiarity with k8s deployment via Helm charts Strong understanding of containerization concepts, proficiency with Docker/ContainerD 4+ years of strong Programming / Automation experience using Python, Shell, Ansible and other similar Tools/Languages 3+ years of working knowledge of building automation to deploy infrastructure and exposure with CI/CD tools and continuous integration Experience working with version control system – Github Demonstrated verbal and written communications skills Demonstrated skills with troubleshooting, debugging, maintaining and improving existing software Preferred technical and professional experience Experience with setting up and running Linux(RHEL/Ubuntu) Infrastructure Strong Programming/scripting experience using Golang,Python,Ansible for host and application automation Experience developing test automation

We seek a strong Performance Architect with expertise in designing test strategy for a scalable SaaS application for automated testing which involves interactions with other technical architects to align with best practices. The ideal candidate should have rich experience in understanding enterprise architecture and complex systems and be able to architect automation frameworks that performance tests the system and identify key areas having performance issues with detailed analysis. They should also be capable to drive the performance issues to conclusion by interactive with stake holders as required. They should be able to provide solutions to the performance issues and guide developers to address the performance issues. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 15+ years of total experience with 5+ years of experience as Performance Lead/Architect role Experience with performing system Performance and scalability testing. Being able to drive architecture discussions, performance optimizations and end to end improvements Deep understanding and hands on experience in performance test and automation frameworks like JMeter, selenium, cypress, codecept, Cucumber framework, Junit, etc. API automation, experience working on CI/CD, version control tools like git Being able to arrive at the metrics and scenarios for a complex product (that involves discussion and coordination with multiple stakeholders) Experience with Containers, Docker, Kubernetes, Linux, openshift Experience in technically coaching and guiding junior Performance engineers. Good communication skills and technical leadership qualities"

IBM is seeking an experienced software engineer with competencies in Full Stack development . You will build, deploy, and maintain cloud microservice applications and tools that interact with the CIO's asset management systems in order to streamline our asset management processes and deliver exceptional user experience. Responsibilities:: * Front-end technologyExpertise in front-end technologies, including JavaScript, CSS3 and HTML5. Transform UX design prototypes into HTML/CSS web designs and implement with the appropriate front end programming language (Vue.js/React.js). * Develop, deploy, monitor and maintain backend micro-services in Java utilizing Spring framework on RedHat Openshift using the 12 factor application development methodology. * Develop, deploy, monitor and maintain front-end micro-services in Vue.js framework on RedHat Openshift using the 12 factor application development methodology. * Assist in design and architecture decisions for the systems and their interaction via APIs with other systems. * Configure and manage the security and observeability of deployed applications using various log analytics and application performance monitoring (APM) tools, including but not limited to LogDNA, Instana, Dynatrace, Grafana, and Splunk. * Build and maintain the necessary DevSecOps pipelines to implement Continuous Integration and Continuous Delivery. Familiarity with Maven, TravisCI, Selenium, GitOps, SAST, DAST and other DevSecOps tools is highly desirable. * Work in a global collaborative team environment. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Strong hands-on coding skills with a focus on full-stack web application development. JavaScript experience Required. A creative and precise problem solver. Familiar with cloud-native application development. Familiar with application performance concepts. Bachelor’s degree in computer science or computer engineering. English language fully required (advanced level).

Lead the design, development, and deployment of scalable, secure backend systems using Java, J2EE, and GoLang. Architect and implement robust RESTful APIs and microservices aligned with enterprise cloud-native standards. Collaborate closely with DevOps, QA, and frontend teams to deliver end-to-end product functionality. Set coding standards, influence architectural direction, and drive adoption of best practices across backend systems. Own performance tuning, monitoring, and high availability for backend services using tools like Prometheus, ELK, and Grafana. Implement security, compliance, and privacy by design principles in backend systems. Lead incident response and resolution of complex production issues across multi-cloud environments (e.g., AWS, Azure, OCP). Mentor and guide junior developers and contribute to team-wide knowledge sharing and skill development. Actively participate in Agile ceremonies and contribute to continuous delivery and process improvement. Required education Bachelor's Degree Preferred education Bachelor's Degree Required technical and professional expertise 11+ years of backend software development experience focused on scalable, secure, cloud-native enterprise systems. Deep expertise in Java, J2EE, and GoLang for building distributed backend systems. Advanced experience in architecting and implementing RESTful APIs, service meshes, and inter-service communication. Expert in Postgres or equivalent RDBMS — data modeling, indexing, and performance optimization at scale. Proven track record with microservices architecture, including Docker, Kubernetes, and service deployment patterns. Expert-level familiarity with backend-focused CI/CD tooling (Jenkins, GitLab CI/CD, ArgoCD) and IaC tools (Terraform, CloudFormation). Strong knowledge of monitoring/logging tools such as Prometheus, Grafana, ELK, and Splunk, focusing on backend telemetry and observability. Experience deploying applications on cloud platformsAWS (EKS, ECS, Lambda, CloudFormation), Azure, or GCP. Familiarity with DevSecOps, secure coding practices, and compliance-aware architecture for regulated environments. Proficient in integration, load, and unit testing using JMeter, RestAssured, JUnit, etc. Leadership in backend architecture, performance tuning, platform modernization, and mentoring of technical teams. Effective cross-functional collaboration skills in multi-team, multi-region environments. Preferred technical and professional experience Deep understanding of backend architecture patterns including microservices, event-driven architecture, and domain-driven design. Experience implementing security and privacy by design principles in cloud-native backend systems. Hands-on expertise with cryptographic protocols and standards such as TLS, FIPS, and experience integrating with Java security frameworks (e.g., JCE, Spring Security). Strong grasp of secure coding practices, with experience identifying and mitigating OWASP Top 10 vulnerabilities. Exposure to designing and developing shared platform services or backend frameworks reused across products or tenants (e.g., in multi-tenant SaaS environments). Familiarity with API security patterns, including OAuth2, JWT, API gateways (e.g., Kong, Apigee). Prior experience working on compliance-oriented systems (e.g., SOC2, HIPAA, FedRAMP) or architecting for high-assurance environments. Proficiency with Shell scripting, Python, or Node.js for infrastructure automation or backend utilities.

Contribute to the development of full-stack features in a cloud-based application, including ReactJS front-end and Java/GoLang back-end components. Support end-to-end feature development, contribute ideas in team discussions, and grow your technical expertise through hands-on experience and mentorship from senior team members. Collaborate with tech leads & senior developers to understand requirements and deliver clean, maintainable code. Participate in code reviews, testing, and debugging to ensure high-quality software delivery. Assist in the integration and maintenance of RESTful APIs and third-party services. Support the team in setting up and troubleshooting development and test environments. Follow Agile methodologies and contribute to sprint planning, daily stand-ups, and retrospectives. Learn and adopt best practices in coding, testing, and software design through mentorship and hands-on experience. Continuously improve skills by staying current with industry trends, tools, and technologies. Required education Bachelor's Degree Preferred education Bachelor's Degree Required technical and professional expertise 2+ years of backend development skills in Java and/or GoLang, with exposure to building and integrating RESTful APIs. Exposure to web-based applications development using React, JavaScript, HTML5, and CSS3. Working knowledge of Postgres or similar relational databases — able to write queries and understand database interactions. Familiarity with CI/CD tools like Git, GitHub, or Jenkins, and experience in source control workflows. Exposure to cloud platforms such as AWS, Azure, or RedHat OpenShift (OCP) — especially deploying basic applications or using managed services. Understanding of Docker and basic containerization concepts. Experience writing unit and integration tests using tools such as JUnit or Selenium. Familiarity with debugging tools and browser-based dev tools for frontend development. Exposure to Agile software development processes like Scrum or Kanban. Good communication skills, strong problem solving skills and willingness to collaborate with team members and learn from senior developers. Preferred technical and professional experience Exposure to backend architectural concepts such as microservices or MVC patterns. Familiarity with accessibility standards (e.g., WCAG, Section 508) is a plus. Experience or coursework in security concepts, including encryption, secure coding, or authentication frameworks. Basic understanding of security best practices, including privacy by design principles. Exposure to scripting languages such as Shell or platforms like Node.js is desirable. Experience working with UI component libraries or design systems (e.g., Carbon, Material UI) is a plus.

Collaborate with the Customer Account Executive, Sales Specialist, and Solution Architect to uncover and address challenges or obstacles in both new and existing customer accounts. Design, plan, and implement AI systems for customers, with the ability to develop data pipelines, machine learning (ML) pipelines, and approaches for training and serving ML models, leveraging additional support and resources as needed. Lead technical deep dives, proofs of concept, internal sprints and the development of industry-specific AI solutions to enhance adoption and customer success. Identify key AI stakeholders within customer organizations, advocating for their needs within both business and technical teams. Collaborate closely with internal AI business units and engineering teams, offering valuable market feedback on products and solutions. Participate in customer advocacy, including speaking at conferences, writing blog posts, and other public-facing activities. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Solution Engineer with over 5 years of practical experience in the following areas: Use Case Development, including building AI applications such as deep learning, LLM/RAG, NLP, computer vision, and pattern recognition. Technical Expertise in AI Frameworks and Tools:Expertise with various machine learning frameworks (e.g., TensorFlow,PyTorch, Scikit-learn) and cloud AI servicesto design and deploy production-ready AI systems. Machine Learning Operations Design, including hands-on experience in AI systems architecture, with the ability to design and explain data and ML pipelines, as well as training and serving approaches. Experience with CI/CD andMLOpspractices, including automation via Infrastructure as Code (IaC) tools such as Ansible, in the context of ML and LLM operations. Proven ability to delivertechnicalpresentations and lead business value discussions. Customer-Centric Mindset:A passion for delivering exceptional customer experiences, ensuring that AI solutions meet the specific needs and goals of the customer organization.Strong executive presence and public speaking skills. Continuous Learning & Improvement:Stay up-to-date on emerging AI technologies, frameworks, and methodologies. Actively participate in internal knowledge sharing and contribute to the development of best practices and new tools.

Netcore Cloud is looking for Devops Engineer to join our dynamic team and embark on a rewarding career journey Manage cloud infrastructure and deployments on Azure Automate CI/CD pipelines for software releases Monitor and optimize system performance Ensure security and compliance in cloud environments

SVN System Technologies is looking for DevOps Engineer to join our dynamic team and embark on a rewarding career journey Manage cloud infrastructure and deployments on Azure Automate CI/CD pipelines for software releases Monitor and optimize system performance Ensure security and compliance in cloud environments

A hands-on engineering position responsible for designing, automating, and maintaining robust build systems and deployment pipelines for AI/ML components, with direct development responsibilities in C++ and Python. The role supports both model training infrastructure and high-performance inference systems. Design and implement robustbuild automation systemsthat support large, distributed AI/C++/Python codebases. Develop tools and scripts that enable developers and researchers to rapidly iterate, test, and deploy across diverse environments. Integrate C++ components with Python-based AI workflows, ensuring compatibility, performance, and maintainability. Lead the creation ofportable, reproducible development environments, ensuring parity between development and production. Maintain and extend CI/CD pipelines for Linux and z/OS, implementing best practices in automated testing, artifact management, and release validation. Collaborate with cross-functional teams — including AI researchers, system architects, and mainframe engineers — to align infrastructure with strategic goals. Proactively monitor and improve build performance, automation coverage, and system reliability. Contribute to internal documentation, process improvements, and knowledge sharing to scale your impact across teams. Required education Bachelor's Degree Preferred education Bachelor's Degree Required technical and professional expertise With 5+ years of strong programming skills in C++ and Python, with a deep understanding of both compiled and interpreted language paradigms. Hands-on experience building and maintainingcomplex automation pipelines(CI/CD) using tools likeJenkins, or GitLab CI. In-depth experience withbuild tools and systemssuch asCMake, Make, Meson, or Ninja, including custom script development and cross-compilation. Experience working onmulti-platform development, specifically onLinux and IBM z/OSenvironments, including understanding of their respective toolchains and constraints. Experience integratingnative C++ code with Python, leveragingpybind11,Cython, or similar tools for high-performance interoperability. Proven ability to troubleshoot and resolvebuild-time, runtime, and integration issuesin large-scale, multi-component systems. Comfortable withshell scripting(Bash, Zsh, etc.) and system-level operations. Familiarity withcontainerization technologieslike Docker for development and deployment environments. Preferred technical and professional experience Working knowledge of AI/ML frameworks such as PyTorch, TensorFlow, or ONNX, including understanding of how they integrate into production environments. Experience developing or maintaining software on IBM z/OS mainframe systems. Familiarity with z/OS build and packaging workflows, Understanding of system performance tuning, especially in high-throughput compute or I/O environments (e.g., large model training or inference). Knowledge of GPU computing and low-level profiling/debugging tools. Experience managing long-lifecycle enterprise systems and ensuring compatibility across releases and deployments. Background contributing to or maintaining open-source projects in the infrastructure, DevOps, or AI tooling space Proficiency in distributed systems, microservice architecture, and REST APIs. Experience in collaborating with cross-functional teams to integrate MLOps pipelines with CI/CD tools for continuous integration and deployment, ensuring seamless integration of AI/ML models into production workflows. Strong communication skills with the ability to communicate technical concepts effectively to non-technical stakeholders. Demonstrated excellence in interpersonal skills, fostering collaboration across diverse teams. Proven track record of ensuring compliance with industry best practices and standards in AI engineering. Maintained high standards of code quality, performance, and security in AI projects.

As a Software Developer you'll participate in many aspects of the software development lifecycle, such as design, code implementation, testing, and support. You will create software that enables your clients' hybrid-cloud and AI journeys. Your primary...More... Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Creative problem-solving skills and superb communication Skill. Should have worked on at least 3 engagements modernizing client applications Container based solutions. Should be expert in any of the programming languages like Java, .NET...More Preferred technical and professional experience Experience in distributed/scalable systems Knowledge of standard tools for optimizing and testing code Knowledge/Experience of Development/Build/Deploy/Test life cycle

Role Overview : Seeking an experienced Apache Airflow specialist to design and manage data orchestration pipelines for batch/streaming workflows in a Cloudera environment. Key Responsibilities : Design, schedule, and monitor DAGs for ETL/ELT pipelines Integrate Airflow with Cloudera services and external APIs Implement retries, alerts, logging, and failure recovery Collaborate with data engineers and DevOps teams Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Skills Required : Experience 3–8 years Expertise in Airflow 2.x, Python, Bash Knowledge of CI/CD for Airflow DAGs Proven experience with Cloudera CDP, Spark/Hive-based data pipelines Integration with Kafka, REST APIs, databases

Role Overview : Hiring an ML Engineer with experience in Cloudera ML to support end-to-end model development, deployment, and monitoring on the CDP platform. Key Responsibilities : Develop and deploy models using CML workspaces Build CI/CD pipelines for ML lifecycle Integrate with governance and monitoring tools Enable secure model serving via REST APIs Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Skills Required : Experience in Cloudera ML, Spark MLlib, or scikit-learn ML pipeline automation (MLflow, Airflow, or equivalent) Model governance, lineage, and versioning API exposure for real-time inference

Develop and maintain full stack web applications using React and Python or Golang. Collaborate with designers, product managers, and backend developers to create seamless user experiences. Write clean, efficient, and maintainable code for both frontend and backend components. Build and integrate RESTful APIs. Optimize application for performance, scalability, and security. Participate in code reviews, testing, and continuous integration practices. Troubleshoot and debug issues across the stack. Stay up-to-date with emerging technologies and best practices in software development. Required education Bachelor's Degree Preferred education Bachelor's Degree Required technical and professional expertise 4+ years of experience in full stack development. Strong proficiency in React.js , including hooks, state management (e.g., Redux/Context API), and component lifecycle. Experience in backend development using Python (Django/Flask/FastAPI) or Golang . Solid understanding of RESTful API design and implementation. Familiarity with relational and NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB). Hands-on experience with version control systems like Git. Experience with CI/CD pipelines and deployment workflows (Docker, Kubernetes is a plus). Understanding of software development principles, patterns, and best practices. Preferred technical and professional experience Experience with cloud platforms such as AWS, GCP, or Azure. Knowledge of GraphQL, WebSockets, or real-time data handling. Familiarity with testing frameworks like Jest, PyTest, or Go’s testing package. Exposure to agile development methodologies.

Developer leads the cloud application development/deployment for client based on AWS development methodology, tools and best practices. A developer responsibility is to lead the execution of a project by working with a senior level resource on assigned development/deployment activities and design, build, and maintain cloud environments focusing on uptime, access, control, and network security using automation and configuration management tools Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Java 8 and above SpringBoot, Rest API and Containerization with Docker. Development experience in Java. Good communication skills. Any cloud exposure AWS/GCP/Azure Preferred technical and professional experience Creative Problem solving skills Good communication skills

As a Front End Developer Implement security measures to protect data and applications. Work closely with data scientists, AI researchers, and other engineers to deliver high-quality AI-driven solutions. Deploy applications to cloud platforms, monitor their performance, and make necessary improvements. End-to-End designing, developing, and maintaining full-stack applications, ensuring seamless integration between frontend and back-end components. Design and develop web applications using React.js and Node.js Enhance the user experience of web applications by integrating React components Debug and troubleshoot React and Node.js applications Implement best practices for front-end development Collaborate with other developers to ensure application performance Ensure the quality of code and maintain code standards Manage source control and version control for applications Develop and maintain RESTful APIs to connect applications to backend services Monitor application performance and take corrective measures Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Proficiency in JavaScript, ES6 + – Strong understanding of modern JavaScript concepts and best practices. React.js Expertise – Hands-on experience with React.js, including state management (Redux, Context API), component lifecycle, hooks, and performance optimization. Node.js & Express.js – Strong knowledge of server-side development using Node.js and Express.js to build scalable backend applications. RESTful APIs & GraphQL – Experience in designing, developing, and consuming APIs to enable seamless communication between front-end and back-end services. Database Management – Working knowledge of SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Firebase) databases. Version Control – Proficiency in Git and GitHub/GitLab for source code management and collaboration. Frontend Development – Strong understanding of HTML5, CSS3, SCSS, Tailwind CSS, and responsive design principles. Authentication & Security – Experience with JWT, OAuth, session-based authentication, and implementing security best practices to protect applications. Cloud & Deployment – Familiarity with AWS, Azure, or Google Cloud for hosting, CI/CD pipelines, Docker, and Kubernetes. Testing & Debugging – Experience with unit testing (Jest, Mocha), integration testing, and debugging tools to ensure code quality. Preferred technical and professional experience Bachelor’s/Master’s degree in Computer Science, Engineering, or a related field. Experience working in EdTech or similar industries. Familiarity with cloud platforms (AWS, Azure, or GCP) is a bonus.

Your Role and Responsibilities Data and AI Development team is looking for enthusiastic and talented Backend Development Engineer with Ansible Operator expertise to join us. Our services belong to Match360 product portfolio. Our services are tightly integrated with IBM Cloud Pak for Data where customers can access a suite of leading data and AI capabilities in a unified experience. You are a Backend Developer, who will Design, develop and/or re-engineer complex product components, and integrate software packages, programs and reusable objects residing on multiple platforms. As an ambitious individual who can work under senior architect’s direction towards agreed targets and goals, you have the ability to manage change and to work under stress. You are curious to learn as demonstrated by your up-to-date technical knowledge. You are a good team player and you are familiar with Agile methodologies and principles and/or have experience working in an Agile team. We seek an applicant who will thrive in an open, dynamic, flexible, fun, spirited, collaborative environment; an individual who desires creative freedom and the opportunity to work in a high performing team. Job Responsibilities: As a Backend developer you will be responsible for development/ maintenance/ Support of the Match360 applications through the full systems development lifecycle. Participate in the design and implementation of sophisticated software systems You will work with the Product Architects, Product Managers to understand various priorities and work towards the execution. Participate in software design and code reviews. Reviews include other Software Engineers and are held to ensure a high level of software quality and to share knowledge with team members. Participate in, and adhere to, professional software engineering practices using such tools and methodologies as Agile Software Development, Test Driven Development, Continuous Integration, Source Code Management (git), and GitHub. Ensure good code coverage. Support bug fixes during testing and deploy to target environments. Participate in the planning, creation and execution of automated test cases and load/performance testing. Create/maintain technical documentation. Hands on experience in handling and debugging customer issues, work with L2 support team. Maintain a high level of proficiency with Computer Science/Software Engineering knowledge and contribute to the technical skills growth of other team members. You will be providing vigilance and compliance to various software engineering, support and release processes e.g security, stack upgrades that are free of vulnerabilities etc. Required education Bachelor's Degree Required technical and professional expertise 5-10 years of professional/industrial experience in software development. Expertise with Core Java, Java J2EE, Docker, Kubernetes, Ansible ( playbook & development ), MicroServices Architecture, Python, Shell Scripting, Ruby, GoLang etc. using Ansible Operator Proficiency in container-based deployment using OpenShift Container Platform (OCP), Amazon AWS, Microsoft Azure, Google Cloud etc. Working knowledge of system architecture, network protocols such as TCP/IP, HTTP etc. Working knowledge of database technologies such as SQL or NoSQL, GraphDB's. Experience in using messaging brokers like RabbitMQ, Kafka etc. Experience in building secure, robust, scalable and maintainable software and is open to learn open source tools and automating processes. Working knowledge on tools like GitHub, Jenkins, Maven/Gradle. Understanding and experience with Linux Operating Systems (such as Red Hat, Ubuntu, etc.). Understanding and experience with DevOps, Agile, and Design/Implementation within CI/CD and Secure Software Engineering Best Practices. Understanding and experience writing and executing Unit and Integration Tests as part of Test Driven DevOps Development. Ability to learn and apply new technologies quickly. Strong sense of ownership of deliverables. Preferred technical and professional experience Strong sense of ownership of deliverables. Ability to learn and apply new technologies quickly. An authority on Cloud Native Application architecture, Docker's and Microservices. Working experience on Docker/Kubernetes, the DevOps, Micro services. Worked on building automation test frameworks.

Understand product vision and business needs to define product requirements and product architectural solutions. Use tools and methodologies to create representations for functions and user interface of desired product Develop high-level product specifications with attention to system integration and feasibility Define all aspects of development from appropriate technology and workflow to coding standards Communicate successfully all concepts and guidelines to development team Ensure software meets all requirements of quality, security, modifiability, extensibility etc. Collaborate with other professionals to determine functional and non-functional requirements for new software or applications Provide support for production escalations and problem resolution for customers. Analyse requirements, design develop & maintain software products in alignment with the technology strategy of the organization Participate in technical reviews of requirements, specifications, designs, code and other artifacts. Ensure commitments are agreed, reviewed and met. Learn new skills and adopt new practices readily in order to develop innovative and cutting-edge software products that maintain Company's technical leadership position. Plan, develop and manage the infrastructure to enable strategic and effective use of tools. Lead the evaluation/evolution of tools/technologies/programs with input from internal teams, external developers. Proactively identifying issues and improvement opportunities. Directing resources to diagnose and resolve complex system, application software, security and related problems that impact system and availability. Required education Bachelor's Degree Required technical and professional expertise 5 to 10 years of experience in DevOps, security engineering, or related fields. Strong understanding of DevOps practices, CI/CD tools (e.g., Jenkins, GitLab CI, GitHub Actions). Hands-on experience with security tools (e.g., SonarQube, Checkmarx, Aqua, Twistlock, Snyk). Familiarity with containerization and orchestration tools (Docker, Kubernetes). Solid scripting and automation skills (Python, Bash, Terraform, etc.). Experience with cloud platforms (AWS, Azure, GCP) and their security services. Knowledge of secure SDLC and threat modeling techniques. Preferred technical and professional experience Security certifications such as CISSP, CEH, OSCP, or AWS Security Specialty. Experience with policy-as-code tools like OPA/Gatekeeper or HashiCorp Sentinel. Understanding of modern application architectures (microservices, serverless). Familiarity with regulatory compliance frameworks.

A Data Engineer specializing in enterprise data platforms, experienced in building, managing, and optimizing data pipelines for large-scale environments. Having expertise in big data technologies, distributed computing, data ingestion, and transformation frameworks. Proficient in Apache Spark, PySpark, Kafka, and Iceberg tables, and understand how to design and implement scalable, high-performance data processing solutions.What you’ll doAs a Data Engineer – Data Platform Services, responsibilities include: Data Ingestion & Processing Designing and developing data pipelines to migrate workloads from IIAS to Cloudera Data Lake. Implementing streaming and batch data ingestion frameworks using Kafka, Apache Spark (PySpark). Working with IBM CDC and Universal Data Mover to manage data replication and movement. Big Data & Data Lakehouse Management Implementing Apache Iceberg tables for efficient data storage and retrieval. Managing distributed data processing with Cloudera Data Platform (CDP). Ensuring data lineage, cataloging, and governance for compliance with Bank/regulatory policies. Optimization & Performance Tuning Optimizing Spark and PySpark jobs for performance and scalability. Implementing data partitioning, indexing, and caching to enhance query performance. Monitoring and troubleshooting pipeline failures and performance bottlenecks. Security & Compliance Ensuring secure data access, encryption, and masking using Thales CipherTrust. Implementing role-based access controls (RBAC) and data governance policies. Supporting metadata management and data quality initiatives. Collaboration & Automation Working closely with Data Scientists, Analysts, and DevOps teams to integrate data solutions. Automating data workflows using Airflow and implementing CI/CD pipelines with GitLab and Sonatype Nexus. Supporting Denodo-based data virtualization for seamless data access Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 4-7 years of experience in big data engineering, data integration, and distributed computing. Strong skills in Apache Spark, PySpark, Kafka, SQL, and Cloudera Data Platform (CDP). Proficiency in Python or Scala for data processing. Experience with data pipeline orchestration tools (Apache Airflow, Stonebranch UDM). Understanding of data security, encryption, and compliance frameworks Preferred technical and professional experience Experience in banking or financial services data platforms. Exposure to Denodo for data virtualization and DGraph for graph-based insights. Familiarity with cloud data platforms (AWS, Azure, GCP). Certifications in Cloudera Data Engineering, IBM Data Engineering, or AWS Data Analytics

This role is within the DevOps team responsible for build and delivery of multiple IBM Automation software products. Responsibilities include developingand modernizing Continuous Integration and Continuous Delivery systems and processes, to enable agile development and delivery of IBM software products, leveraging containerization technologies such as Docker, Kubernetes and Cloud infrastructure. Automate and modernize software delivery processes, including testing and deployment. Collaborate with development teams to eliminate manual effort, reduce human error and improve efficiency. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 2+ years of experience. Experience developing and maintaining CI/CD pipelines using Jenkins and Tekton. Experience with Docker and an understanding of containerized software fundamentals Familiarity with DevOps and Agile principles, and the ability to apply them Linux command line and bash scripting experience Strong technical and problem-solving skills with an attention to detail Good communication skills and the ability to work together as part of a team Self-motivated with a sense of ownership and willingness to bring forward ideas Preferred technical and professional experience Deploying and managing software in a Kubernetes and Redhat OpenShift environment Agile development in a team using Git and Github Familiarity with DevOps services provided by Public Cloud (eg. IBM Cloud, AWS)

Design, develop, and maintain applications using Java/J2EE and IBM Infosphere MDM Advanced Edition v11.x. Participate in development and support projects including fail & fix and maintenance activities. Collaborate with clients and internal teams to understand requirements and deliver solutions. Provide timely and effective support for multiple clients, ensuring quick resolution of issues. Engage directly with clients in a client-facing role, ensuring clear communication and understanding of business needs. Participate in on-call support and be flexible to extend support after hours when required. Follow software engineering best practices, including continuous integration and continuous delivery (CI/CD Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 6+ years of hands-on experience in Java/J2EE technologies. 4+ years of hands-on development experience in IBM Infosphere MDM Advanced Edition v11.x. Strong understanding and practical experience with CI/CD tools and practices. Proven experience in development and support projects, including maintenance and issue resolution. Strong client interaction and communication skills, with experience in direct client-facing roles Preferred technical and professional experience Prior experience in the Banking domain or financial services industry. Exposure to Agile methodologies and collaborative development environments. Familiarity with other enterprise data management tools or technologies

Developer leads the cloud application development/deployment for client based on AWS development methodology, tools and best practices. A developer responsibility is to lead the execution of a project by working with a senior level resource on assigned development/deployment activities and design, build, and maintain cloud environments focusing on uptime, access, control, and network security using automation and configuration management tools. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Mandatory - Minimum 5+yrs exp, Extensive hands-on experience in Java8, Excellent in Coding using Data structures and algorithms, Extensive experience in Spring, Spring Actuate, Spring Boot, Spring Cloud, Based Microservices Has experience in any of the CI/CD tools like Jenkins, Spinnaker GOCD, CircleCI, Argo, Ansible, Bamboo, Has experience in test automation tools like Mockito, JUnit , Selenium, JMeter Extensive experience in one of the JavaScript frameworks like React, Angular or VueJS, Analytics.JS, Fluent in the essential front-end web development technologies, i.e., HTML, CSS and JavaScript, Fluent in CSS frameworks and JS templating engines Has experience in UI testing tools like Jest / Enzyme /Mocha / Karma / Selenium, Has experience in working for agile Product teams Nice to Have, Has experience in one of the cloud platforms like IBM, AWS, Azure or GCP, Any MQ experience using Rabbit MQ / Kafka / ActiveMQ, Has working knowledge of containerization using Kubernetes and Docker,Has knowledge of any of the continuous monitoring using App Dynamics, Dynatrace, Prometheus/Grafan Preferred technical and professional experience None

Review and implement functional business requirements and non-functional technical requirements Translate business requirements into technical design documents and drive implementation with developers Research and analyze new technologies to be used (e.g., Libraries, IDE’s, tools) Develop high-level architecture and detailed design for application stack – backend Assist engineering and operational teams in debugging critical production problems Perform application code review, ensure creation and maintenance of appropriate artifacts for architecture and design work Develop back-end portions of web services. You will primarily focus on building backend REST API services. Work to implement server-side or application logic and design architectures. Create and talk to REST services. Shift between multiple projects and technologies. Write clean code and test it throughout the development process to ensure the quality is up to standards. Work on software that is used by millions of people all around the world is a challenge that you're willing to tackle. Perform peer reviews and mentor the team to evolve into backend developers. Encourage a self-motivated squad model of working from handling design, development, test and operations for the micro services. Required education Bachelor's Degree Required technical and professional expertise Kubernetes: Deep knowledge of Kubernetes architecture, pods, deployments, services, and persistent volumes. Storage Classes & Volumes: How Kubernetes manages persistent storage and snapshots. Networking Basics: Understanding Kubernetes networking Container Storage Interface (CSI): Familiarity with how storage plugins work in Kubernetes. CI/CD Pipelines: Integrating backup/restore into automation pipelines using Jenkins , GitHub action , travis etc. Scripting: Proficiency in Bash , Python , or Go for writing automation scripts. Disaster Recovery: Designing and implementing DR solutions for containerized environments. Data Replication: Understanding of synchronous and asynchronous replication techniques. Access Control: Implementing RBAC (Role-Based Access Control) in Kubernetes. Good to have: Compliance Knowledge: GDPR, HIPAA, or other data protection regulations relevant to backup data. Monitoring & Logging: Using tools like Prometheus , Grafana , ICD to monitor backup jobs and system health. Backup Tools: Experience with tools like Velero , Kasten K10 , Rsync , Restic , or Portworx for Kubernetes. Should have 5+ experience on Back end services development and Microservices Architecture. Proven experience implementing distributed applications in a container environment (Docker/Kubernetes) along with considerable experience configuring and administrating Linux (or other Unix-like) systems Software engineering experience designing Enterprise Cloud Applications with Go Lang, C, C++, Python etc., Proven experience in REST API development experience (APIs like REST / RESTful APIs). Expertise in defining business architecture, business process definition & modelling, use cases, and requirements definition, and associated best practice processes for defining these artifacts Proven proficiency in grasping requirements and building illustrative features with minimal specifications Experience working in agile development environments. Preferred technical and professional experience Understanding of Networking concepts and experience in Network development. Understanding of cloud storage concepts and experience in cloud storage development. Knowledge of security and compliance standards & requirements