40 Travis Ci Jobs

Utilize expertise in AI/ML and Data Science to develop and deploy AI models in production environments, ensuring scalability, reliability, and efficiency. Implement and optimize machine learning algorithms, neural networks, and statistical modelling techniques to solve complex problems. Hands-on experience in developing and deploying large language models (LLMs) in production environments, with a good understanding of distributed systems, microservice architecture, and REST APIs. Collaborate with cross-functional teams to integrate MLOps pipelines with CI/CD tools for continuous integration and deployment. Stay updated with the latest advancements in AI/ML technologies and contribute to the development and improvement of AI frameworks and libraries. Ensure compliance with industry best practices and standards in AI engineering, maintaining high standards of code quality, performance, and security. Required education Bachelor's Degree Preferred education Bachelor's Degree Required technical and professional expertise Proficiency in Python, C++. Experience with relevant ML libraries (e.g., TensorFlow, PyTorch) for developing production-grade quality products. Expertise in various databases including open-source databases like MongoDB, CouchDB, CockroachDB. Skills in Git, CI/CD pipelines (Jenkins, Travis CI, GitLab CI), and containerization (Docker, Kubernetes). Experience in contributing to open-source AI projects or utilizing open-source AI frameworks. Experience in optimizing AI algorithms for performance and scalability. Preferred technical and professional experience Proven ability to implement and optimize machine learning algorithms, neural networks, and statistical modelling techniques to solve complex problems effectively. 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. Experience in using container orchestration platforms such as Kubernetes to deploy and manage machine learning models in production environments, ensuring efficient scalability and management of AI infrastructure. Proven ability to contribute to the development and improvement of AI frameworks and libraries. Strong communication skills with the ability to communicate technical concepts effectively to non-technical stakeholders.

As a DevOps Engineer on the Developer Platform team, you will build and enhance services and features that elevate the developer experience, productivity, and satisfaction across the CIO organization. You’ll be part of a team that prioritizes automation, scalability, and elegant tooling to support efficient software delivery. Design, build, and maintain scalable DevOps tooling and infrastructure Develop CI/CD pipelines and streamline software delivery workflows Implement and manage container-based deployments Automate infrastructure provisioning and configuration Collaborate cross-functionally with engineering teams to improve release velocity and quality Required education Bachelor's Degree Required technical and professional expertise * Minimum 2+ years of experience in software development or automation * Strong problem-solving and troubleshooting capabilities * Proven experience with CI/CD tools such as Jenkins, Travis CI, and Git * Hands-on with containerization and orchestrationDocker, Kubernetes, OpenShift * Proficient in scripting languagesPython and/or Shell scripting * Solid grasp of Linux administration, especially Debian and RHEL-based systems * Practical experience with infrastructure-as-code tools such as Ansible Preferred technical and professional experience Exposure to distributed application architectures and highly scalable platforms Familiarity with quality assurance practices, including test automation and pipeline optimization Experience in monitoring, logging, and observability tools is a plus Enthusiasm for improving developer tooling and internal platforms

As a functional verification engineer for IBM Z Platform, your role is critical in verifying the functionality of platform management firmware and ensuring the required quality standards. Design and implement automated test frameworks and scripts that are modular, maintainable and scalable. Collaborate with firmware development and systems test team to implement test cases for various test scenarios, performance and regression testing. Setup and maintain test environments and infrastructure (including virtual machines, hardware and simulators) required for writing and executing the test plan. Implement and manage CI/CD pipelines for automated testing and ensuring rapid feedback to the development team. Create and maintain comprehensive documentation of the test suites, including test plans, test cases and test results. Collect and analyze test metrics to provide insights into the quality of the platform management firmware and suggest improvements to the project management team. Continuously learn and stay up-to-date with latest industry trends in test automation, tools and CI/CD practices to ensure the verification process is effective. USP: You will be part of the firmware functional verification team working on delivering platform management solutions for the IBM Z platform. You will work with the systems test and solutions test teams to define the test plan that covers functional verification and integration tests with other system components. You will work with program management to plan necessary resources like hardware, simulators and virtual environments. Required education Bachelor's Degree Preferred education Bachelor's Degree Required technical and professional expertise Should have 2 to 5years of experience in the software testing area along with strong software development experience. Should be proficient in one or more programming languages like Python, Java for writing automated test scripts. Should be proficient in one or more automation tools and frameworks like Ansible or Robot framework or have experience in custom automation solutions. Proficiency in version control systems, for example git, github, subversion Exposure to CI/CD pipelines and tools, for example, Jenkins, Travis CI) for automating build and test processes. Knowledge of virtualization technologies for creating test environments. Understanding of network protocols, for example, SSH, SNMP, as firmware testing often involves communication over networks. Target Companies: VMWare, HP, Nokia-Siemens, Cisco, General Electric Keywords for MI: No Black box testing!! Python (or Java or shell scripting) Test Automation (of functional verification), Jenkins (or Travis CI or Tekton), frameworks (Ansible or Robot or custom framework) CI/CD, Virtualization, SSH or SNMP, REST API Preferred technical and professional experience Proficiency in quality assurance methodologies. Exposure to project management discussions regarding various test phases, activities and communication of metrics. Good documentation and analytical skills to record various test suites and their execution parameters.

As a functional verification engineer for IBM Z Platform, your role is critical in verifying the functionality of platform management firmware and ensuring the required quality standards. Design and implement automated test frameworks and scripts that are modular, maintainable and scalable. Collaborate with firmware development and systems test team to implement test cases for various test scenarios, performance and regression testing. Setup and maintain test environments and infrastructure (including virtual machines, hardware and simulators) required for writing and executing the test plan. Implement and manage CI/CD pipelines for automated testing and ensuring rapid feedback to the development team. Create and maintain comprehensive documentation of the test suites, including test plans, test cases and test results. Collect and analyze test metrics to provide insights into the quality of the platform management firmware and suggest improvements to the project management team. Continuously learn and stay up-to-date with latest industry trends in test automation, tools and CI/CD practices to ensure the verification process is effective. USP: You will be part of the firmware functional verification team working on delivering platform management solutions for the IBM Z platform. You will work with the systems test and solutions test teams to define the test plan that covers functional verification and integration tests with other system components. You will work with program management to plan necessary resources like hardware, simulators and virtual environments. Required education Bachelor's Degree Preferred education Bachelor's Degree Required technical and professional expertise Should have 2 to 5years of experience in the software testing area along with strong software development experience. Should be proficient in one or more programming languages like Python, Java for writing automated test scripts. Should be proficient in one or more automation tools and frameworks like Ansible or Robot framework or have experience in custom automation solutions. Proficiency in version control systems, for example git, github, subversion Exposure to CI/CD pipelines and tools, for example, Jenkins, Travis CI) for automating build and test processes. Knowledge of virtualization technologies for creating test environments. Understanding of network protocols, for example, SSH, SNMP, as firmware testing often involves communication over networks. Target Companies: VMWare, HP, Nokia-Siemens, Cisco, General Electric Keywords for MI: No Black box testing!! Python (or Java or shell scripting) Test Automation (of functional verification), Jenkins (or Travis CI or Tekton), frameworks (Ansible or Robot or custom framework) CI/CD, Virtualization, SSH or SNMP, REST API Preferred technical and professional experience Proficiency in quality assurance methodologies. Exposure to project management discussions regarding various test phases, activities and communication of metrics. Good documentation and analytical skills to record various test suites and their execution parameters.

Must have a minimum 1 yr exp in SRE (CloudOps), Google Cloud platforms (GCP), monitoring, APM, and alerting tools like Prometheus, Grafana, ELK, Newrelic, Pingdom, or Pagerduty, Hands-on experience with Kubernetes for orchestration and container mgt Required Candidate profile Mandatory expreience working in B2C Product Companies. Must have Experience with CI/CD tools e.g. (Jenkins, GitLab CI/CD, CircleCI TravisCI..)

Design Containerized & cloud-native Micro services Architecture Plan & Deploy Modern Application Platforms & Cloud Native Platforms Good understanding of AGILE process & methodology Plan & Implement Solutions & best practices for Process Automation, Security, Alerting & Monitoring, and Availability solutions Should have good understanding of Infrastructure-as-code deployments Plan & design CI/CD pipelines across multiple environments Support and work alongside a cross-functional engineering team on the latest technologies Iterate on best practices to increase the quality & velocity of deployments Sustain and improve the process of knowledge sharing throughout the engineering team Keep updated on modern technologies & trends, and advocate the benefits Should possess good team management skills Ability to drive goals / milestones, while valuing & maintaining a strong attention to detail Excellent Judgement, Analytical & problem-solving skills Excellent in communication skills Experience maintaining and deploying highly-available, fault-tolerant systems at scale Practical experience with containerization and clustering (Kubernetes/OpenShift/Rancher/Tanzu/GKE/AKS/EKS etc) Version control system experience (e.g. Git, SVN) Experience implementing CI/CD (e.g. Jenkins, TravisCI) Experience with configuration management tools (e.g. Ansible, Chef) Experience with infrastructure-as-code (e.g. Terraform, Cloud formation) Expertise with AWS (e.g. IAM, EC2, VPC, ELB, ALB, Autoscaling, Lambda) Container Registry Solutions (Harbor, JFrog, Quay etc) Operational (e.g. HA/Backups) NoSQL experience (e.g. Cassandra, MongoDB, Redis) Good understanding on Kubernetes Networking & Security best practices Monitoring Tools like DataDog, or any other open source tool like Prometheus, Nagios Load Balancer Knowledge (AVI Networks, NGINX) Location: Pune / Mumbai [Work from Office]

About the role An Automation Test Engineer plays a crucial role in ensuring the quality and reliability of software through automated testing processes. Location: Hyderabad Mode of Interview: In-person Date of Interview: 14th Jun 2025 In this role, you will: • Design, develop, and execute automated test scripts using Java, Selenium, and Cucumber. • Implement and maintain BDD frameworks to ensure comprehensive test coverage. • Collaborate with development and product teams to understand requirements and create detailed test plans. • Identify, document, and track bugs and issues through to resolution. • Perform regression testing to ensure new features do not negatively impact existing functionality. • Continuously improve test processes and frameworks to enhance efficiency and effectiveness. Work model: Hybrid We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring 3 days a week in a client or Cognizant office in city, state. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs. The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations. What you need to have to be considered • Programming Languages: Proficiency in languages like Java, Python, or C# • Testing Tools: Experience with automation tools such as Selenium, QTP, or Appium • Analytical Skills: Strong problem-solving abilities and attention to detail • Communication Skills: Effective communication with team members and stakeholders • Collaboration: Ability to work closely with developers, product managers, and other stakeholders Tools and Technologies: • Selenium WebDriver: For browser automation testing • JUnit/TestNG: For unit testing and test management • CI/CD Tools: Familiarity with tools like Jenkins or Travis CI for continuous integration and deployment These will help you stand out • Experience with other test automation tools and frameworks. • Knowledge of RESTful APIs and API testing. • ISTQB certification or similar. We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.

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).

To help us build functional systems that improve customer experience we are now looking for an experienced DevOps Engineer. They will be responsible for deploying product updates, identifying production issues and implementing integrations that meet our customers' needs. If you have a solid background in software engineering and are familiar with Ruby or Python, wed love to speak with you. Responsibilities Work with development teams to ideate software solutions Building and setting up new development tools and infrastructure Working on ways to automate and improve development and release processes Ensuring that systems are safe and secure against cybersecurity threats Deploy updates and fixes Perform root cause analysis for production errors Develop scripts to automate infrastructure provision Working with software developers and software engineers to ensure that development follows established processes and works as intended Technologies we use GitOps GitHub, GitLab, BitBucket CI/CD Jenkins, Circle CI, Travis CI, TeamCity, Azure DevOps Containerization Docker, Swarm, Kubernetes Provisioning Terraform CloudOps Azure, AWS, GCP Observability Prometheus, Grafana, GrayLog, ELK Qualifications Graduate / Postgraduate in Technology sector Proven experience as a DevOps Engineer or similar role Effective communication and teamwork skills

Job Information Job Opening ID ZR_1862_JOB Date Opened 13/04/2023 Industry Technology Job Type Work Experience 5-8 years Job Title DevOps Architect / Consultant City Pune Province Maharashtra Country India Postal Code 411038 Number of Positions 4 Design Containerized & cloud-native Micro services Architecture Plan & Deploy Modern Application Platforms & Cloud Native Platforms Good understanding of AGILE process & methodology Plan & Implement Solutions & best practices for Process Automation, Security, Alerting & Monitoring, and Availability solutions Should have good understanding of Infrastructure-as-code deployments Plan & design CI/CD pipelines across multiple environments Support and work alongside a cross-functional engineering team on the latest technologies Iterate on best practices to increase the quality & velocity of deployments Sustain and improve the process of knowledge sharing throughout the engineering team Keep updated on modern technologies & trends, and advocate the benefits Should possess good team management skills Ability to drive goals / milestones, while valuing & maintaining a strong attention to detail Excellent Judgement, Analytical & problem-solving skills Excellent in communication skills Experience maintaining and deploying highly-available, fault-tolerant systems at scale Practical experience with containerization and clustering (Kubernetes/OpenShift/Rancher/Tanzu/GKE/AKS/EKS etc) Version control system experience (e.g. Git, SVN) Experience implementing CI/CD (e.g. Jenkins, TravisCI) Experience with configuration management tools (e.g. Ansible, Chef) Experience with infrastructure-as-code (e.g. Terraform, Cloud formation) Expertise with AWS (e.g. IAM, EC2, VPC, ELB, ALB, Autoscaling, Lambda) Container Registry Solutions (Harbor, JFrog, Quay etc) Operational (e.g. HA/Backups) NoSQL experience (e.g. Cassandra, MongoDB, Redis) Good understanding on Kubernetes Networking & Security best practices Monitoring Tools like DataDog, or any other open source tool like Prometheus, Nagios Load Balancer Knowledge (AVI Networks, NGINX) Location: Pune / Mumbai [Work from Office] check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#2B39C2;border-color:#2B39C2;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered=""> I'm interested

We are looking for a DevOps leader with deep experience in python build/ci/cd ecosystem for an exciting and cutting edge stealth startup in Silicon Valley. Responsibilities: Design and implement complex CI/CD pipelines in python and leveraging cutting-edge python packaging, dependency management, and CI/CD practices Optimize speed and reliability of builds Define test automation tools, architecture and integration with CI/CD platforms, and drive TA implementation in python Implement configuration management to set standards and best practices Manage and optimize cloud infrastructure resources: GCP or AWS or Azure Collaborate with development teams to understand application requirements and optimize deployment processes Work closely with operations teams to ensure smooth transition of applications into production. Develop and maintain documentation for system configurations, processes, and procedures Eligibility: 5-12 years of experience in DevOps, with minimum 2-5years of experience on python build echo system Python packaging, distribution,concurrent builds, dependencies, environments, test framework integrations, linting. Pip, poetry, uv, flint CI/CD: pylint, coverage.py , cprofile, python scripting, docker, k8s, IaC (Terraform, Ansible, Puppet, Helm) Platforms (Teamcity (preferred) or Jenkins or Github Actions or CircleCI, TravisCI) Test Automation: pytest, unittest, integration tests, plyright (preferred) Cloud platforms: AWS or Azure or GCP and platform specific CI/CD services and tools. Familiarity with logging and monitoring tools (e.g. Prometheus, Grafana).

About the role An Automation Test Engineer plays a crucial role in ensuring the quality and reliability of software through automated testing processes. Location: Coimbatore In this role, you will: • Design, develop, and execute automated test scripts using Java, Selenium, and Cucumber. • Implement and maintain BDD frameworks to ensure comprehensive test coverage. • Collaborate with development and product teams to understand requirements and create detailed test plans. • Identify, document, and track bugs and issues through to resolution. • Perform regression testing to ensure new features do not negatively impact existing functionality. • Continuously improve test processes and frameworks to enhance efficiency and effectiveness. Work model: Hybrid We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring 3 days a week in a client or Cognizant office in city, state. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs. The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations. What you need to have to be considered • Programming Languages: Proficiency in languages like Java, Python, or C# • Testing Tools: Experience with automation tools such as Selenium, QTP, or Appium • Analytical Skills: Strong problem-solving abilities and attention to detail • Communication Skills: Effective communication with team members and stakeholders • Collaboration: Ability to work closely with developers, product managers, and other stakeholders Tools and Technologies: • Selenium WebDriver: For browser automation testing • JUnit/TestNG: For unit testing and test management • CI/CD Tools: Familiarity with tools like Jenkins or Travis CI for continuous integration and deployment These will help you stand out • Experience with other test automation tools and frameworks. • Knowledge of RESTful APIs and API testing. • ISTQB certification or similar. We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.

Responsibilities: * Collaborate on Agile development methodology with CircleCI/Travis CI. * Develop scalable React apps using Redux, REST APIs, GraphQL APIs. Our LinkedIn Page: https://in.linkedin.com/company/zaktis-it-solutions

We are looking for a talented and experienced DevOps/Site Reliability Engineer (SRE) with a strong proficiency in Python. Skill & Experience Collaborate with development teams to design, develop, and maintain infrastructure for our highly available and scalable applications. Automate processes using Python scripting to streamline the deployment and monitoring of our applications. Monitor and manage cloud infrastructure on AWS, including EC2, S3, RDS, and Lambda. Implement and manage CI/CD pipelines for automated testing and deployment of applications. Troubleshoot and resolve production issues, ensuring high availability and performance of our systems. Collaborate with cross-functional teams to ensure security, scalability, and reliability of our infrastructure. Develop and maintain documentation for system configurations, processes, and procedures. Bachelors degree in Computer Science, Engineering, or a related field. 6+ years of experience in a DevOps/SRE role, with a strong focus on automation and infrastructure as code. Proficiency in Python scripting for automation and infrastructure management. Hands-on experience with containerization technologies such as Docker and Kubernetes. Strong knowledge of cloud platforms such as AWS, including infrastructure provisioning and management. Experience with monitoring and logging tools such as Prometheus, Grafana, and ELK stack. Knowledge of CI/CD tools like Jenkins, GitLab CI, or Travis CI. Familiarity with configuration management tools such as Ansible, Puppet, or Chef. Strong problem-solving and troubleshooting skills, with an ability to work in a fast-paced and dynamic environment. Excellent communication and collaboration skills to work effectively with cross-functional teams.

maintainable code using languages like Python, Java, C++, JavaScript,IPS,DDoS,GitLab CI, Travis CI,Python, Bash, PowerShell, Ruby, Go,Ansible, Puppet,firewalls, VPNs

Source Code Management: Proficiency in using Git or other version control systems for source code management and collaboration. Continuous Integration and Continuous Delivery (CI/CD): Experience with CI/CD tools like Jenkins, Travis CI, or GitLab CI/CD to automate build, test, and deployment processes. Infrastructure as Code (IaC): Knowledge of IaC tools such as Terraform, Ansible, or CloudFormation to automate infrastructure provisioning and configuration. Configuration Management: Familiarity with configuration management tools like Puppet, Chef, or Ansible to manage and maintain consistent system configurations. Cloud Platforms: Understanding of cloud platforms such as AWS, Azure, or Google Cloud, including knowledge of cloud services, networking, and security. Containerization: Proficiency in container technologies like Docker and container orchestration platforms like Kubernetes for scalable and portable deployments. Monitoring and Logging: Experience with monitoring and logging tools such as Prometheus, Grafana, ELK Stack (Elasticsearch, Logstash, Kibana) for system monitoring, metrics collection, and log analysis. Scripting and Automation: Strong scripting skills in languages like Bash, Python, or PowerShell to automate repetitive tasks and build tooling. Security and Compliance: Knowledge of security best practices, including secure coding principles, vulnerability scanning, and compliance frameworks like PCI-DSS or GDPR. Collaboration and Communication: Excellent communication skills to collaborate effectively with cross-functional teams and facilitate smooth cooperation between development, operations, and other stakeholders.

Role Description Engineer is responsible for managing or performing work across multiple areas of the bank's overall IT Platform/Infrastructure including analysis, development, and administration. It may also involve taking functional oversight of engineering delivery for specific departments. Planning and developing entire engineering solutions to accomplish business goals. Building reliability and resiliency into solutions with appropriate testing and reviewing throughout the delivery lifecycle Ensuring maintainability and reusability of engineering solutions. Ensuring solutions are well architected and can be integrated successfully into the end-to-end business process flow. Reviewing engineering plans and quality to drive re-use and improve engineering capability. Participating in industry forums to drive adoption of innovative technologies, tools and solutions in the Bank. What we'll offer you As part of our flexible scheme, here are just some of the benefits that youll enjoy, Best in class leave policy. Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your key responsibilities A Java developer is responsible for designing, building, implementing, and maintaining software applications using both Java and related technologies. Responsible for developing back-end services with Java, integrating APIs, ensuring crossplatform optimization, and collaborating with team members to deliver high-quality software solutions. Should have proficiency in both Java, Spring boot and related tech stack as well as strong problem-solving skills and the ability to work in an Agile development environment. Your skills and experience 4+ years experience in implementing software applications using Java & React Technologies. Hands-on experience with JavaA popular object-oriented programming language used for building scalable and robust backend services. Spring BootA framework for building Javabased enterprise applications, providing features such as dependency injection, MVC architecture, and RESTful web services. Hibernate or Spring Data JPAObject-relational mapping (ORM) frameworks for simplifying database interactions and managing entity relationships. Spring SecurityA framework for implementing authentication and authorization mechanisms in Spring-based applications. RESTful APIsArchitectural style for designing networked applications, allowing communication between the front-end and backend components. DatabaseSQl/PLSQL for commonly used databases include Oracle, PostgreSQL, or MongoDB, depending on the specific requirements of the application. Developer tools & PracticesIntegrated Development Environment (IDE)Such as IntelliJ IDEA or Eclipse for Java development, and Visual Studio Code or WebStorm for React development. Version ControlGit for managing source code and collaborating with team members. Build ToolsMaven or Gradle for managing dependencies and building Java projects, and Webpack for bundling and optimizing React applications. Testing FrameworksJUnit for unit testing Java code, Jest and Enzyme for testing React components, and Selenium for automated browser testing. Agile MethodologiesPractices like Scrum or Kanban for iterative and collaborative software development. Continuous Integration/Continuous Deployment (CI/CD)Tools like Jenkins, Travis CI, or GitLab CI/CD for automating the build, testing, and deployment processes. Good working knowledge of various async messaging streams such as Kafka, Rabbit MQ, IBM MQs etc. Good understanding of implementing various design patterns to improve application performance. Good understanding of various Object-Oriented Design principles such as SOLID, DRY, KISS etc. Knowledge of Compute Engine for virtual machines, Cloud Storage for object storage, and Cloud Functions for serverless computing, GKE for GCP is desirable. Experience with container platforms management services such as docker is desirable. Strong stakeholder management skills and the ability to communicate at senior level. Proven experience of delivering results in matrixed organizations under pressure and tight timescales Excellent verbal, interpersonal and written communication skills. Bachelors degree in computer science or a related field. How we'll support you Training and development to help you excel in your career. Coaching and support from experts in your team. A culture of continuous learning to aid progression. A range of flexible benefits that you can tailor to suit your needs.

Project Role : Software Development Lead Project Role Description : Develop and configure software systems either end-to-end or for a specific stage of product lifecycle. Apply knowledge of technologies, applications, methodologies, processes and tools to support a client, project or entity. Must have skills : DevOps Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a CI/CD Engineer, you will be responsible for developing and configuring software systems, applying knowledge of technologies, methodologies, and tools to support projects or clients. Roles & Responsibilities: Develop and maintain automated CI/CD pipelines that facilitate the continuous integration, testing, and deployment of algorithms. Integrate various tools like Git for version control, Jenkins or GitLab for CI/CD, Docker for containerization, and Kubernetes for orchestration. Ensure that best practices around code branching, merging, and pull request management are followed, especially when multiple teams work on different algorithm versions. Implement monitoring tools to continuously track the health and performance of deployed algorithms. Participate in code reviews and provide constructive feedback to ensure code quality and adherence to best practices. Create and maintain comprehensive documentation for CI/CD processes, pipeline configurations, deployment instructions, and troubleshooting guides. Professional & Technical Skills: Minimum 5 years of experience in DevOps and Proficiency with CI/CD tools such as Jenkins, GitLab CI, Travis CI, or Bamboo. Basic understanding of Simulink MATLAB. Understanding of containerization tools (Docker, Kubernetes) and their integration with CI/CD pipelines. Strong understanding of Git and other version control systems for code collaboration, branching strategies, and pull requests. Strong understanding of design, performance optimization, and scalability concerns. Ability to review existing CI/CD practices and suggest improvements for optimization, speed, or reliability. Additional Information: The candidate should have a minimum of 5 years of experience in DevOps and Proficiency with CI/CD tools. This position is based at our Hyderabad office. A 15 years full time education is required Qualification 15 years full time education

1. Utilize expertise in AI/ML and Data Science to develop and deploy AI models in production environments, ensuring scalability, reliability, and efficiency. 2. Implement and optimize machine learning algorithms, neural networks, and statistical modeling techniques to solve complex problems. 3. Hands-on experience in developing and deploying large language models (LLMs) in production environments, with a good understanding of distributed systems, microservice architecture, and REST APIs. 4. Collaborate with cross-functional teams to integrate MLOps pipelines with CI/CD tools for continuous integration and deployment. 5. Stay updated with the latest advancements in AI/ML technologies and contribute to the development and improvement of AI frameworks and libraries. 6. Communicate technical concepts effectively to non-technical stakeholders, demonstrating excellent communication and interpersonal skills. 7. Ensure compliance with industry best practices and standards in AI engineering, maintaining high standards of code quality, performance, and security. 8. Experience in using container orchestration platforms such as Kubernetes to deploy and manage machine learning models in production environments. Required education Bachelor's Degree Preferred education Bachelor's Degree Required technical and professional expertise 1. Programming Proficiency: Proficiency in Python, C++. Experience with relevant ML libraries (e.g., TensorFlow, PyTorch) for developing production-grade quality products. 2. Data Handling Skills: Skilled in integrating, cleansing, and shaping data. Expertise in various databases including open-source databases like MongoDB, CouchDB, CockroachDB. 3. DevOps Experience: Experienced in DevOps practices. Skills in Git, CI/CD pipelines (Jenkins, Travis CI, GitLab CI), and containerization (Docker, Kubernetes). 4. Open-Source Contribution: Open-source Contribution is a plus. Experience in contributing to open-source AI projects or utilizing open-source AI frameworks. 5. Problem-Solving Skills: Strong problem-solving and analytical skills. Experience in optimizing AI algorithms for performance and scalability. 6. AI Compiler/Runtime Skills: AI compiler/runtime skills would be a plus. 7. Agile Methodologies: Familiarity with Agile methodologies. Experience in Agile development of AI-based solutions. Ensuring efficient project delivery through iterative development processes Preferred technical and professional experience Proven ability to implement and optimize machine learning algorithms, neural networks, and statistical modeling techniques to solve complex problems effectively. 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. Demonstrated commitment to staying updated with the latest advancements in AI/ML technologies. Proven ability to contribute to the development and improvement of AI frameworks and libraries. 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. Experience in using container orchestration platforms such as Kubernetes to deploy and manage machine learning models in production environments, ensuring efficient scalability and management of AI infrastructure.

1. Utilize expertise in AI/ML and Data Science to develop and deploy AI models in production environments, ensuring scalability, reliability, and efficiency. 2. Implement and optimize machine learning algorithms, neural networks, and statistical modeling techniques to solve complex problems. 3. Hands-on experience in developing and deploying large language models (LLMs) in production environments, with a good understanding of distributed systems, microservice architecture, and REST APIs. 4. Collaborate with cross-functional teams to integrate MLOps pipelines with CI/CD tools for continuous integration and deployment. 5. Stay updated with the latest advancements in AI/ML technologies and contribute to the development and improvement of AI frameworks and libraries. 6. Communicate technical concepts effectively to non-technical stakeholders, demonstrating excellent communication and interpersonal skills. 7. Ensure compliance with industry best practices and standards in AI engineering, maintaining high standards of code quality, performance, and security. 8. Experience in using container orchestration platforms such as Kubernetes to deploy and manage machine learning models in production environments. Required education Bachelor's Degree Preferred education Bachelor's Degree Required technical and professional expertise 1. Programming Proficiency: Proficiency in Python, C++. Experience with relevant ML libraries (e.g., TensorFlow, PyTorch) for developing production-grade quality products. 2. Data Handling Skills: Skilled in integrating, cleansing, and shaping data. Expertise in various databases including open-source databases like MongoDB, CouchDB, CockroachDB. 3. DevOps Experience: Experienced in DevOps practices. Skills in Git, CI/CD pipelines (Jenkins, Travis CI, GitLab CI), and containerization (Docker, Kubernetes). 4. Open-Source Contribution: Open-source Contribution is a plus. Experience in contributing to open-source AI projects or utilizing open-source AI frameworks. 5. Problem-Solving Skills: Strong problem-solving and analytical skills. Experience in optimizing AI algorithms for performance and scalability. 6. AI Compiler/Runtime Skills: AI compiler/runtime skills would be a plus. 7. Agile Methodologies: Familiarity with Agile methodologies. Experience in Agile development of AI-based solutions. Ensuring efficient project delivery through iterative development processes Preferred technical and professional experience Proven ability to implement and optimize machine learning algorithms, neural networks, and statistical modeling techniques to solve complex problems effectively. 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. Demonstrated commitment to staying updated with the latest advancements in AI/ML technologies. Proven ability to contribute to the development and improvement of AI frameworks and libraries. 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. Experience in using container orchestration platforms such as Kubernetes to deploy and manage machine learning models in production environments, ensuring efficient scalability and management of AI infrastructure.

1. Utilize expertise in AI/ML and Data Science to develop and deploy AI models in production environments, ensuring scalability, reliability, and efficiency. 2. Implement and optimize machine learning algorithms, neural networks, and statistical modeling techniques to solve complex problems. 3. Hands-on experience in developing and deploying large language models (LLMs) in production environments, with a good understanding of distributed systems, microservice architecture, and REST APIs. 4. Collaborate with cross-functional teams to integrate MLOps pipelines with CI/CD tools for continuous integration and deployment. 5. Stay updated with the latest advancements in AI/ML technologies and contribute to the development and improvement of AI frameworks and libraries. 6. Communicate technical concepts effectively to non-technical stakeholders, demonstrating excellent communication and interpersonal skills. 7. Ensure compliance with industry best practices and standards in AI engineering, maintaining high standards of code quality, performance, and security. 8. Experience in using container orchestration platforms such as Kubernetes to deploy and manage machine learning models in production environments. Required education Bachelor's Degree Preferred education Bachelor's Degree Required technical and professional expertise 1. Programming Proficiency: Proficiency in Python, C++. Experience with relevant ML libraries (e.g., TensorFlow, PyTorch) for developing production-grade quality products. 2. Data Handling Skills: Skilled in integrating, cleansing, and shaping data. Expertise in various databases including open-source databases like MongoDB, CouchDB, CockroachDB. 3. DevOps Experience: Experienced in DevOps practices. Skills in Git, CI/CD pipelines (Jenkins, Travis CI, GitLab CI), and containerization (Docker, Kubernetes). 4. Open-Source Contribution: Open-source Contribution is a plus. Experience in contributing to open-source AI projects or utilizing open-source AI frameworks. 5. Problem-Solving Skills: Strong problem-solving and analytical skills. Experience in optimizing AI algorithms for performance and scalability. 6. AI Compiler/Runtime Skills: AI compiler/runtime skills would be a plus. 7. Agile Methodologies: Familiarity with Agile methodologies. Experience in Agile development of AI-based solutions. Ensuring efficient project delivery through iterative development processes Preferred technical and professional experience Proven ability to implement and optimize machine learning algorithms, neural networks, and statistical modeling techniques to solve complex problems effectively. 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. Demonstrated commitment to staying updated with the latest advancements in AI/ML technologies. Proven ability to contribute to the development and improvement of AI frameworks and libraries. 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. Experience in using container orchestration platforms such as Kubernetes to deploy and manage machine learning models in production environments, ensuring efficient scalability and management of AI infrastructure.

Creating helm charts for deploying applications or services in kubernetes cluster Troubleshooting issues in kubernetes cluster Monitoring kubernetes cluster with prometheus and grafana Building CI/CD Pipeline in jenkins Creating docker files and containerising the applications Troubleshooting docker containers Building custom ami image and creating cloudformation templates for deploying applications Configuring network in any cloud environment Creating tools for automating tasks using shell scripts or any other scripting languages Qualifications & Requirements Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent experience). Minimum 1 year of experience as a DevOps Engineer or in a similar role. Proficiency in scripting and automation (e.g., Bash, Python, Ruby). Strong knowledge of cloud computing platforms (e.g., AWS, Azure, GCP). Experience with containerization and orchestration (e.g., Docker, Kubernetes). Familiarity with networking in cloud Knowledge of CI/CD tools (e.g., Jenkins, Travis CI). Strong problem-solving and troubleshooting skills. Excellent communication and collaboration abilities.

Project Role : DevOps Engineer Project Role Description : Responsible for building and setting up new development tools and infrastructure utilizing knowledge in continuous integration, delivery, and deployment (CI/CD), Cloud technologies, Container Orchestration and Security. Build and test end-to-end CI/CD pipelines, ensuring that systems are safe against security threats. Must have skills : DevOps Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a DevOps Engineer, you will be responsible for building and setting up new development tools and infrastructure utilizing knowledge in continuous integration, delivery, and deployment (CI/CD), Cloud technologies, Container Orchestration and Security. Your typical day will involve building and testing end-to-end CI/CD pipelines, ensuring that systems are safe against security threats, and collaborating with cross-functional teams to ensure seamless delivery of software products. Roles & Responsibilities: Lead the design, implementation, and maintenance of CI/CD pipelines for software products, utilizing tools such as Jenkins, GitLab, and Travis CI. Collaborate with cross-functional teams to ensure seamless delivery of software products, including developers, QA engineers, and operations teams. Ensure the security and integrity of software products by implementing security best practices, including vulnerability scanning, penetration testing, and code analysis. Automate infrastructure deployment and management using tools such as Ansible, Terraform, and Kubernetes. Monitor and troubleshoot production systems, utilizing tools such as Splunk, ELK, and Grafana. Professional & Technical Skills: Must To Have Skills:Experience with CI/CD tools such as Jenkins, GitLab, and Travis CI. Must To Have Skills:Experience with infrastructure automation tools such as Ansible, Terraform, and Kubernetes. Good To Have Skills:Experience with Cloud technologies such as AWS, Azure, or GCP. Good To Have Skills:Experience with Container Orchestration tools such as Docker Swarm or Kubernetes. Strong understanding of security best practices, including vulnerability scanning, penetration testing, and code analysis. Experience with monitoring and logging tools such as Splunk, ELK, and Grafana. Additional Information: The candidate should have a minimum of 5 years of experience in DevOps. The ideal candidate will possess a strong educational background in computer science, software engineering, or a related field, along with a proven track record of delivering impactful software products. This position is based at our Mumbai office. Qualifications 15 years full time education

The ESM R&D team is seeking an experienced Performance engineer, to join our Global R&D team to deliver innovative enterprise software solutions by working in a fast paced challenging and enriching environment. This is a high-growth business, and our solutions are used by enterprise class highly demanding customers across the globe. We are using a Microservices based architecture composed of multiple services running on Kubernetes using Docker Containers. As a Senior Performance Engineer, You will lead efforts to optimize the performance and efficiency of our applications, services, and systems. You will work closely with development, quality assurance, and infrastructure teams to identify performance bottlenecks, define performance testing strategies, and implement solutions that enhance the overall user experience. You will contribute as a team member and take responsibility for own work commitments and take part in project / functional problem-solving. You will make decisions based on established practices. You will work under general guidance with progress reviewed on a regular basis. What the role offers: Design, develop, and manage automated CI/CD pipelines for building, testing, and deploying applications across different environments (e.g., staging, production). Ensure seamless integration of CI/CD pipelines with version control systems (e.g., Git). Implement and maintain infrastructure-as-code (IAC) frameworks and templates (e.g., Terraform, CloudFormation). Set up monitoring, alerting, and reporting systems to track the status of deployments, performance metrics, and any issues. Collaborate with software engineers, QA, and operations teams to ensure alignment on delivery goals, processes, and requirements. Ensure that CD pipelines meet security best practices, including code scanning, vulnerability assessments, and compliance checks. Resolve any issues with the CD pipeline and work on continuous improvements to the deployment process. Mentor and guide junior performance engineers and support their professional growth. What you need to succeed: Strong knowledge of CI/CD tools (e.g., Jenkins, GitLab CI, CircleCI, Travis CI) and version control systems (e.g., Git). Proficiency in scripting languages (e.g., Bash, Python, Ruby) and experience with configuration management tools (e.g., Ansible, Chef, Puppet). Experience with cloud providers like AWS, GCP, or Azure, and containerization technologies such as Docker and Kubernetes. Hands-on experience with tools like Terraform, CloudFormation, or similar. Knowledge of automated testing frameworks and integration with CI/CD processes. Familiarity with Agile development practices and DevOps culture. Strong troubleshooting skills and the ability to address complex issues in a fast-paced environment. Excellent collaboration and communication skills to work effectively across teams. Knowledge of performance testing tools such as LoadRunner, JMeter or similar.

About The Role :: Job Title- Engineer - Java Location - Bangalore Role Description Engineer is responsible for managing or performing work across multiple areas of the bank's overall IT Platform/Infrastructure including analysis, development, and administration. It may also involve taking functional oversight of engineering delivery for specific departments. Work includes: Planning and developing entire engineering solutions to accomplish business goals Building reliability and resiliency into solutions with appropriate testing and reviewing throughout the delivery lifecycle Ensuring maintainability and reusability of engineering solutions Ensuring solutions are well architected and can be integrated successfully into the end-to-end business process flow Reviewing engineering plans and quality to drive re-use and improve engineering capability Participating in industry forums to drive adoption of innovative technologies, tools and solutions in the Bank. Deutsche Banks Corporate Bank division is a leading provider of cash management, trade finance and securities finance. We complete green-field projects that deliver the best Corporate Bank - Securities Services products in the world. Our team is diverse, international, and driven by shared focus on clean code and valued delivery. At every level, agile minds are rewarded with competitive pay, support, and opportunities to excel. You will work as part of a cross-functional agile delivery team. You will bring an innovative approach to software development, focusing on using the latest technologies and practices, as part of a relentless focus on business value. You will be someone who sees engineering as team activity, with a predisposition to open code, open discussion and creating a supportive, collaborative environment. You will be ready to contribute to all stages of software delivery, from initial analysis right through to production support. What we'll offer you As part of our flexible scheme, here are just some of the benefits that youll enjoy Best in class leave policy Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your Key responsibilities Responsible for Designing, building, implementing and maintaining software applications using both Java and related technologies. Should have proficiency in Java, Spring boot and related tech stack as well as strong problem-solving skills and the ability to work in agile development environment. Responsible for development of microservices in Java, integrating APIs and collaborating with team members to deliver high quality software solutions. Your Skills and experience Engineering degree with 5-9 years of experience Experience working with global teams Hands on experience in Java, Google Cloud Platform and DevOps Developer tools & Practices:Integrated Development Environment (IDE):Such as IntelliJ IDEA or Eclipse for Java development, and Visual Studio Code or WebStorm for React development. Version Control:Git for managing source code and collaborating with team members. Build Tools:Maven or Gradle for managing dependencies and building Java projects, and Webpack for bundling and optimizing React applications. Testing Frameworks:JUnit for unit testing Java code, Jest and Enzyme for testing React components, and Selenium for automated browser testing. Agile Methodologies:Practices like Scrum or Kanban for iterative and collaborative software development. Continuous Integration/Continuous Deployment (CI/CD):Tools like Jenkins, Travis CI, or GitLab CI/CD for automating the build, testing, and deployment processes Good working knowledge of various async messaging streams such as Kafka, IBM MQs etc. Good understanding of implementing various design patterns to improve application performance. Good understanding of various Object-Oriented Design principles Knowledge of Compute Engine for virtual machines, Cloud Storage for object storage, and Cloud Functions for serverless computing, GKE for GCP is desirable. Strong stakeholder management skills and the ability to communicate at senior level. Proven experience of delivering results in matrixed organizations under pressure and tight timescales Excellent verbal, interpersonal and written communication skills. Bachelors degree in computer science or a related field Ability to work in a dynamic, agile environment leading/working with geographically distributed teams. How we'll support you Training and development to help you excel in your career Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs About us and our teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.