67 Aws Codedeploy Jobs - Page 3

Data Engineer Skills and Qualifications SQL - Mandatory Strong knowledge of AWS services (e.g., S3, Glue, Redshift, Lambda ). - Mandatory Experience working with DBT – Nice to have Proficiency in PySpark or Python for big data processing. - Mandatory Experience with orchestration tools like Apache Airflow and AWS CodePipeline . - Mandatory Familiarity with CI/CD tools and DevOps practices. Expertise in data modeling, ETL processes, and data warehousing.

Client - Cisco Experience - 0-1 Year Location - Bangalore only (WFO all 5 days) Job Summary: AWS Engineer with approximately 6 months of experience to join our growing team. The ideal candidate will have hands-on experience in designing, deploying, and managing AWS cloud infrastructure. You will work closely with development and operations teams to ensure the reliability, scalability, and security of our cloud-based applications. Responsibilities: Design, implement, and maintain AWS cloud infrastructure using best practices. Deploy and manage applications on AWS services such as EC2, S3, RDS, VPC, and Lambda. Implement and maintain CI/CD pipelines for automated deployments. Monitor and troubleshoot AWS infrastructure and applications to ensure high availability and performance. Implement security best practices and ensure compliance with security policies. Automate infrastructure tasks using infrastructure-as-code tools (e.g., CloudFormation, Terraform). Collaborate with development and operations teams to resolve technical issues. Document infrastructure configurations and operational procedures. Participate in on-call rotations as needed. Optimize AWS costs and resource utilization. Required Skills and Qualifications: Bachelor s degree in computer science, Information Technology, or a related field. 6 Months of hands-on experience1 with AWS cloud services. Proficiency in AWS services such as EC2, S3, RDS, VPC, IAM, and Lambda. Experience with infrastructure-as-code tools (e.g., CloudFormation, Terraform). Experience with CI/CD pipelines and tools (e.g., Jenkins, AWS Code Pipeline). Excellent problem-solving and troubleshooting skills. Strong communication and collaboration skills. Desire to learn new technologies.

Location Pune, Hyderabad, Gurgaon, Bangalore [Hybrid] : Python, Pyspark, SQL, AWS Services - AWS Glue, S3, IAM, Athena, AWS CloudFormation, AWS Code Pipeline, AWS Lambda, Transfer Family, AWS Lake Formation, and CloudWatch, CI/CD automation of AWS CloudFormation stacks Not Ready to Apply Join our talent pool and we'll reach out when a job fits your skills.

Role : MLOps Engineer Location - Coimbatore Mode of Interview - In Person Key words -Skillset AWS SageMaker, Azure ML Studio, GCP Vertex AI PySpark, Azure Databricks MLFlow, KubeFlow, AirFlow, Github Actions, AWS CodePipeline Kubernetes, AKS, Terraform, Fast API Responsibilities Model Deployment, Model Monitoring, Model Retraining Deployment pipeline, Inference pipeline, Monitoring pipeline, Retraining pipeline Drift Detection, Data Drift, Model Drift Experiment Tracking MLOps Architecture REST API publishing Job Responsibilities: Research and implement MLOps tools, frameworks and platforms for our Data Science projects. Work on a backlog of activities to raise MLOps maturity in the organization. Proactively introduce a modern, agile and automated approach to Data Science. Conduct internal training and presentations about MLOps tools’ benefits and usage. Required experience and qualifications: Wide experience with Kubernetes. Experience in operationalization of Data Science projects (MLOps) using at least one of the popular frameworks or platforms (e.g. Kubeflow, AWS Sagemaker, Google AI Platform, Azure Machine Learning, DataRobot, DKube). Good understanding of ML and AI concepts. Hands-on experience in ML model development. Proficiency in Python used both for ML and automation tasks. Good knowledge of Bash and Unix command line toolkit. Experience in CI/CD/CT pipelines implementation. Experience with cloud platforms - preferably AWS - would be an advantage.

Job Summary We are seeking a Senior Cloud Engineer with 8 to 10 years of experience to join our team. The ideal candidate will have extensive experience with various AWS services and a strong background in cloud infrastructure. This role involves designing implementing and maintaining cloud solutions to support our business objectives. The work model is hybrid and the shift is day. No travel is required. Responsibilities Lead the design and implementation of scalable cloud solutions using AWS services. Oversee the deployment and management of applications on AWS ECS and AWS EKS. Provide expertise in Amazon DynamoDB for database management and optimization. Implement serverless architectures using Amazon Lambda. Manage data storage solutions with Amazon S3 Glacier. Ensure secure and reliable connections using AWS Direct Connect. Monitor and troubleshoot applications with AWS X-Ray. Automate CI/CD pipelines using AWS CodePipeline CodeDeploy CodeCommit and CodeBuild. Integrate event-driven architectures with Amazon EventBridge. Administer AWS Organizations and AWS License Manager for account and license management. Manage virtual desktops with AWS Workspaces. Utilize Amazon DocumentDB for document database solutions. Implement and manage AWS Systems Manager for operational insights and automation. Ensure secure communications with AWS Certificate Manager. Use AWS OpsWorks for configuration management. Provide recommendations using AWS Trusted Advisor and AWS Well-Architected Framework. Manage single sign-on with AWS SSO. Collaborate with cross-functional teams to ensure cloud solutions align with business goals. Maintain documentation and provide training to team members on cloud best practices. Stay updated with the latest AWS services and features to continuously improve our cloud infrastructure. Qualifications Must have experience with Amazon DynamoDB AWS ECS Amazon Lambda Amazon S3 Glacier AWS Direct Connect AWS X-Ray AWS CodePipeline AWS CodeDeploy AWS CodeCommit AWS CodeBuild Amazon EventBridge AWS Organizations AWS License Manager AWS Workspaces Amazon DocumentDB AWS Systems Manager AWS EKS AWS Certificate Manager AWS OpsWorks AWS Trusted Advisor AWS Well-Architected Framework and AWS SSO. Nice to have experience in the Devices domain. Strong problem-solving skills and ability to work in a hybrid work model. Excellent communication and collaboration skills. Ability to work independently and manage multiple tasks effectively. Strong understanding of cloud security best practices. Experience with infrastructure as code and automation tools. Proven track record of delivering high-quality cloud solutions. Certifications Required AWS Certified Solutions Architect AWS Certified DevOps Engineer

Role : MLOps Engineer Location - Kochi Mode of Interview - In Person Data - 14th June 2025 (Saturday) Key words -Skillset AWS SageMaker, Azure ML Studio, GCP Vertex AI PySpark, Azure Databricks MLFlow, KubeFlow, AirFlow, Github Actions, AWS CodePipeline Kubernetes, AKS, Terraform, Fast API Responsibilities Model Deployment, Model Monitoring, Model Retraining Deployment pipeline, Inference pipeline, Monitoring pipeline, Retraining pipeline Drift Detection, Data Drift, Model Drift Experiment Tracking MLOps Architecture REST API publishing Job Responsibilities: Research and implement MLOps tools, frameworks and platforms for our Data Science projects. Work on a backlog of activities to raise MLOps maturity in the organization. Proactively introduce a modern, agile and automated approach to Data Science. Conduct internal training and presentations about MLOps tools’ benefits and usage. Required experience and qualifications: Wide experience with Kubernetes. Experience in operationalization of Data Science projects (MLOps) using at least one of the popular frameworks or platforms (e.g. Kubeflow, AWS Sagemaker, Google AI Platform, Azure Machine Learning, DataRobot, DKube). Good understanding of ML and AI concepts. Hands-on experience in ML model development. Proficiency in Python used both for ML and automation tasks. Good knowledge of Bash and Unix command line toolkit. Experience in CI/CD/CT pipelines implementation. Experience with cloud platforms - preferably AWS - would be an advantage.

We're Nagarro. We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (18000 experts across 38 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in! REQUIREMENTS: Total experience 3+years. Hands-on experience with Java, JavaScript, Angular, Spring Boot, and REST APIs. Experience with Selenium, REST Assured, and Figma for design collaboration. Familiarity with PostgreSQL and MySQL; strong SQL skills. Proficiency with CI/CD tools such as Maven and Jenkins. Experience using version control systems like GIT or SVN. Experience in developing and supporting web-based applications. Strong understanding of UML and design patterns. Proficiency in Service-Oriented Architecture (SOA) and Web Services (Apache CXF, JAX-WS, JAX-RS, SOAP, REST). Hands-on experience with multithreading, and cloud development. Strong working experience in Data Structures and Algorithms, Unit Testing, and Object-Oriented Programming (OOP) principles. Exposure to cloud platforms like AWS or Azure (AWS Code Deploy preferred). Should have good communication and customer handling skills. RESPONSIBILITIES: Writing and reviewing great quality code Understanding the clients business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements Mapping decisions with requirements and be able to translate the same to developers Identifying different solutions and being able to narrow down the best option that meets the clients’ requirements Defining guidelines and benchmarks for NFR considerations during project implementation Writing and reviewing design documents explaining overall architecture, framework, and high-level design of the application for the developers Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it Understanding and relating technology integration scenarios and applying these learnings in projects Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken Carrying out POCs to make sure that suggested design/technologies meet the requirements.

Data Engineer Skills and Qualifications SQL - Mandatory Strong knowledge of AWS services (e.g., S3, Glue, Redshift, Lambda ). - Mandatory Experience working with DBT – Nice to have Proficiency in PySpark or Python for big data processing. - Mandatory Experience with orchestration tools like Apache Airflow and AWS CodePipeline . - Mandatory Job Summary We are seeking a skilled Developer with 3 to 6 years of experience to join our team. The ideal candidate will have expertise in AWS DevOps Python and SQL. This role involves working in a hybrid model with day shifts and no travel requirements. The candidate will contribute to the companys purpose by developing and maintaining high-quality software solutions. Responsibilities Develop and maintain software applications using AWS DevOps Python and SQL. Collaborate with cross-functional teams to design and implement new features. Ensure the scalability and reliability of applications through effective coding practices. Monitor and optimize application performance to meet user needs. Provide technical support and troubleshooting for software issues. Implement security best practices to protect data and applications. Participate in code reviews to maintain code quality and consistency. Create and maintain documentation for software applications and processes. Stay updated with the latest industry trends and technologies to enhance skills. Work in a hybrid model balancing remote and in-office work as needed. Communicate effectively with team members and stakeholders to ensure project success. Contribute to the continuous improvement of development processes and methodologies. Ensure timely delivery of projects while maintaining high-quality standards. Qualifications Possess a strong understanding of AWS DevOps including experience with deployment and management of applications on AWS. Demonstrate proficiency in Python programming with the ability to write clean and efficient code. Have experience with SQL for database management and querying. Show excellent problem-solving skills and attention to detail. Exhibit strong communication and collaboration skills. Be adaptable to a hybrid work model and able to manage time effectively.

Tittle Kubernetes modernization Engineers Experience 5 - 7 years Location Hyderabad/Bangalore Key Responsibilities - Lead Automation Design and implement an automation framework to migrate workloads to Kubernetes platforms such as AWS EKS, Azure AKS, Google GKE, Oracle OKE, and OpenShift. - Develop Cloud-Native Automation Tools Build automation tools using Go (Golang) for workload discovery, planning, and transformation into Kubernetes artifacts. - Migrate Kubernetes Across Cloud Providers Plan and execute seamless migrations of Kubernetes workloads from one cloud provider to another (AWS - Azure, GCP - OCI, etc.) with minimal disruption. - Leverage Open-Source Technologies Utilize Helm, Kustomize, ArgoCD, and other popular open-source frameworks to streamline cloud-native adoption. - CI/CD & DevOps Integration Architect and implement CI/CD pipelines using Jenkins (including Jenkinsfile generation) and cloud-native tools like AWS CodePipeline, Azure DevOps, and GCP Cloud Build to support diverse Kubernetes deployments. - Security & Compliance Define and enforce security best practices, implement zero-trust principles, and proactively address vulnerabilities in automation workflows. - Technical Leadership & Mentorship Lead and mentor a team of developers, fostering expertise in Golang development, Kubernetes, and DevOps best practices. - Stakeholder Collaboration Work closely with engineering, security, and cloud teams to align modernization and migration efforts with business goals and project timelines. - Performance & Scalability Ensure high performance, scalability, and security across automation frameworks and multi-cloud Kubernetes deployments. - Continuous Innovation Stay ahead of industry trends, integrating emerging tools and methodologies to enhance automation and Kubernetes portability. Qualifications & Experience : - Education Bachelor's or Master's degree in Computer Science, Engineering, or a related field (or equivalent experience). - Experience 8+ years in software development, DevOps, or cloud engineering, with 3+ years in a leadership role. - Programming Expertise Strong proficiency in Go (Golang), Python for building automation frameworks and tools. - Kubernetes & Containers Deep knowledge of Kubernetes (K8s), OpenShift, Docker, and container orchestration. - Cloud & DevOps Hands-on experience with AWS, Azure, GCP, OCI, self-managed Kubernetes, OpenShift, and DevOps practices. - CI/CD & Infrastructure-as-Code Strong background in CI/CD tools (Jenkins, Git, AWS CodePipeline, Azure DevOps, GCP Cloud Build) and Infrastructure-as-Code (IaC) with Terraform, Helm, or similar tools. - Kubernetes Migration Experience Proven track record in migrating Kubernetes workloads between cloud providers, addressing networking, security, and data consistency challenges. - Security & Observability Expertise in cloud-native security best practices, vulnerability remediation, and observability solutions. - Leadership & Communication Proven ability to lead teams, manage projects, and collaborate with stakeholders across multiple domains. Preferred Skills & Certifications : - Experience in self-managed Kubernetes provisioning (e.g., kubeadm, Kubespray) and OpenShift customization (e.g., Operators). - Industry Certifications - CKA, CKAD, or cloud-specific credentials (e.g., AWS Certified DevOps Engineer). - Exposure to multi-cloud and hybrid cloud migration projects Apply Insights Follow-up Save this job for future reference Did you find something suspiciousReport Here! Hide This Job Click here to hide this job for you. You can also choose to hide all the jobs from the recruiter.

Role : MLOps Engineer Location - Chennai - CKC Mode of Interview - In Person Data - 7th June 2025 (Saturday) Key words -Skillset AWS SageMaker, Azure ML Studio, GCP Vertex AI PySpark, Azure Databricks MLFlow, KubeFlow, AirFlow, Github Actions, AWS CodePipeline Kubernetes, AKS, Terraform, Fast API Responsibilities Model Deployment, Model Monitoring, Model Retraining Deployment pipeline, Inference pipeline, Monitoring pipeline, Retraining pipeline Drift Detection, Data Drift, Model Drift Experiment Tracking MLOps Architecture REST API publishing Job Responsibilities: Research and implement MLOps tools, frameworks and platforms for our Data Science projects. Work on a backlog of activities to raise MLOps maturity in the organization. Proactively introduce a modern, agile and automated approach to Data Science. Conduct internal training and presentations about MLOps tools’ benefits and usage. Required experience and qualifications: Wide experience with Kubernetes. Experience in operationalization of Data Science projects (MLOps) using at least one of the popular frameworks or platforms (e.g. Kubeflow, AWS Sagemaker, Google AI Platform, Azure Machine Learning, DataRobot, DKube). Good understanding of ML and AI concepts. Hands-on experience in ML model development. Proficiency in Python used both for ML and automation tasks. Good knowledge of Bash and Unix command line toolkit. Experience in CI/CD/CT pipelines implementation. Experience with cloud platforms - preferably AWS - would be an advantage.

Role: MLOps Engineer Location: PAN India Key words -Skillset AWS SageMaker, Azure ML Studio, GCP Vertex AI PySpark, Azure Databricks MLFlow, KubeFlow, AirFlow, Github Actions, AWS CodePipeline Kubernetes, AKS, Terraform, Fast API Responsibilities Model Deployment, Model Monitoring, Model Retraining Deployment pipeline, Inference pipeline, Monitoring pipeline, Retraining pipeline Drift Detection, Data Drift, Model Drift Experiment Tracking MLOps Architecture REST API publishing Job Responsibilities: Research and implement MLOps tools, frameworks and platforms for our Data Science projects. Work on a backlog of activities to raise MLOps maturity in the organization. Proactively introduce a modern, agile and automated approach to Data Science. Conduct internal training and presentations about MLOps tools’ benefits and usage. Required experience and qualifications: Wide experience with Kubernetes. Experience in operationalization of Data Science projects (MLOps) using at least one of the popular frameworks or platforms (e.g. Kubeflow, AWS Sagemaker, Google AI Platform, Azure Machine Learning, DataRobot, DKube). Good understanding of ML and AI concepts. Hands-on experience in ML model development. Proficiency in Python used both for ML and automation tasks. Good knowledge of Bash and Unix command line toolkit. Experience in CI/CD/CT pipelines implementation. Experience with cloud platforms - preferably AWS - would be an advantage.

About the Role: As a DevOps Engineer at EaseMyTrip.com, you will be pivotal in optimizing and maintaining our IT infrastructure and deployment processes. Your role involves managing cloud environments, implementing automation, and ensuring seamless deployment of applications across various platforms. You will collaborate closely with development teams to enhance system reliability, security, and efficiency, supporting our mission to provide exceptional travel experiences through robust technological solutions. This position is critical for maintaining high operational standards and driving continuous innovation. Role & responsibilities: Cloud Computing Mastery : Expert in managing Amazon Web services (AWS) environments, with skills in GCP and Azure for comprehensive cloud solutions and automation. Windows Server Expertise : Profound knowledge of configuring and maintaining Windows Server systems and Internet Information Services (IIS). Deployment of .NET Applications : Experienced in deploying diverse .NET applications such as ASP.Net, MVC, Web API, and WCF using Jenkins. Proficiency in Version Control : Skilled in utilizing GitLab or GitHub for effective version control and collaboration. Linux Server Management : Capable of administering Linux servers with a focus on security and performance optimizations. Scripting and Automation : Ability to write and maintain scripts for automation of routine tasks to improve efficiency and reliability. Monitoring and Optimization : Implement monitoring tools to ensure high availability and performance of applications and infrastructure. Security Best Practices : Knowledge of security protocols and best practices to safeguard systems and data. Continuous Integration/Continuous Deployment (CI/CD) : Develop and maintain CI/CD pipelines to streamline software updates and deployments. Collaboration and Support : Work closely with development teams to troubleshoot deployment issues and enhance the overall operational efficiency. Preferred candidate profile: Migration Project Leadership : Experienced in leading significant migration projects from planning through to execution. Database Expertise : Strong foundation in both SQL and NoSQL database technologies. Experience with Diverse Tech Stacks : Managed projects involving various technologies, including 2-tier, 3-tier, and microservices architectures. Proficiency in Automation Tools : Hands-on experience with automation and deployment tools such as Jenkins, Bamboo, and Code Deploy. Advanced Code Management : Highly skilled in managing code revisions and maintaining code integrity across multiple platforms. Strategic DevOps Experience : Proven track record in developing and implementing DevOps strategies at an enterprise level. Configuration Management Skills : Proficient in using tools like Ansible, Chef, or Puppet for configuration management. Technology Versatility : Experience working with a range of programming languages and frameworks, including .NET, MVC, LAMP, Python, and NodeJS. Problem Solving and Innovation : Ability to solve complex technical issues and innovate new solutions to enhance system reliability and performance. Effective Communication : Strong communication skills to collaborate with cross-functional teams and articulate technical challenges and solutions clearly.

Project Role : Technology Architect Project Role Description : Design and deliver technology architecture for a platform, product, or engagement. Define solutions to meet performance, capability, and scalability needs. Must have skills : Amazon Web Services (AWS) Good to have skills : Java Full Stack Development Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years of fulltime education. Role:Technology Architect Project Role Description:Review and integrate all application requirements, including functional, security, integration, performance, quality and operations requirements. Review and integrate the technical architecture requirements. Provide input into final decisions regarding hardware, network products, system software and security. Must have Skills :Amazon Web Services (AWS), SSI:NON SSI:Good to Have Skills :SSI:Java Full Stack Development NON SSI :Job Requirements:'',//?field Key Responsibilities:1 Experience of designing multiple Cloud-native Application Architectures2 Experience of developing and deploying cloud-native application including serverless environment like Lambda 3 Optimize applications for AWS environment 4 Design, build and configure applications on AWS environment to meet business process and application requirements5 Understanding of security performance and cost optimizations for AWS6 Understanding to AWS Well-Architected best practices Technical Experience:1 8/15 years of experience in the industry with at least 5 years and above in AWS 2 Strong development background with exposure to majority of services in AWS3 AWS Certified Developer professional and/or AWs specialty level certification DevOps /Security 4 Application development skills on AWS platform with either Java SDK, Python SDK, Reactjs5 Strong in coding using any of the programming languages like Python/Nodejs/Java/Net understanding of AWS architectures across containerization microservices and serverless on AWS 6 Preferred knowledge in cost explorer, budgeting and tagging in AWS 7 Experience with DevOps tools including AWS native DevOps tools like CodeDeploy, Professional Attributes:a Ability to harvest solution and promote reusability across implementations b Self Motivated experts who can work under their own direction with right set of design thinking expertise c Proven interpersonal skills while contributing to team effort by accomplishing related results as needed Educational Qualification:15 years of fulltime education. Additional Info:1 Application developers skills on AWS platform with either Java SDK, Python SDK, Nodejs, ReactJS 2 AWS services Lambda, AWS Amplify, AWS App Runner, AWS CodePipeline, AWS Cloud nine, EBS, Faregate,Additional comments:Only Bangalore, No Location Flex and No Level Flex Qualifications 15 years of fulltime education.

Project Role : Technology Architect Project Role Description : Review and integrate all application requirements, including functional, security, integration, performance, quality and operations requirements. Review and integrate the technical architecture requirements. Provide input into final decisions regarding hardware, network products, system software and security. Must have skills : Amazon Web Services (AWS) Good to have skills : Java Full Stack Development Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years of fulltime education. Role:Technology Architect Project Role Description:Review and integrate all application requirements, including functional, security, integration, performance, quality and operations requirements. Review and integrate the technical architecture requirements. Provide input into final decisions regarding hardware, network products, system software and security. Must have Skills :Amazon Web Services (AWS), SSI:NON SSI:Good to Have Skills :SSI:Java Full Stack Development NON SSI :Job Requirements:'',//?field Key Responsibilities:1 Experience of designing multiple Cloud-native Application Architectures2 Experience of developing and deploying cloud-native application including serverless environment like Lambda 3 Optimize applications for AWS environment 4 Design, build and configure applications on AWS environment to meet business process and application requirements5 Understanding of security performance and cost optimizations for AWS6 Understanding to AWS Well-Architected best practices Technical Experience:1 8/15 years of experience in the industry with at least 5 years and above in AWS 2 Strong development background with exposure to majority of services in AWS3 AWS Certified Developer professional and/or AWs specialty level certification DevOps /Security 4 Application development skills on AWS platform with either Java SDK, Python SDK, Reactjs5 Strong in coding using any of the programming languages like Python/Nodejs/Java/Net understanding of AWS architectures across containerization microservices and serverless on AWS 6 Preferred knowledge in cost explorer, budgeting and tagging in AWS 7 Experience with DevOps tools including AWS native DevOps tools like CodeDeploy, Professional Attributes:a Ability to harvest solution and promote reusability across implementations b Self Motivated experts who can work under their own direction with right set of design thinking expertise c Proven interpersonal skills while contributing to team effort by accomplishing related results as needed Educational Qualification:15 years of fulltime education. Additional Info:1 Application developers skills on AWS platform with either Java SDK, Python SDK, Nodejs, ReactJS 2 AWS services Lambda, AWS Amplify, AWS App Runner, AWS CodePipeline, AWS Cloud nine, EBS, Faregate,Additional comments:Only Bangalore, No Location Flex and No Level Flex Qualifications 15 years of fulltime education.

Immediate Joiners Job Summary We are seeking an experienced DevOps Engineer to join our team and help us build and maintain scalable, secure, and efficient infrastructure on Amazon Web Services (AWS). The ideal candidate will have a strong background in DevOps practices, AWS services, and scripting languages. Key Responsibilities Design and Implement Infrastructure: Design and implement scalable, secure, andefficient infrastructure on AWS using services such as EC2, S3, RDS, and VPC. Automate Deployment Processes: Automate deployment processes using tools such as AWS CodePipeline, AWS CodeBuild, and AWS CodeDeploy. Implement Continuous Integration and Continuous Deployment (CI/CD): Implement CI/CD pipelines using tools such as Jenkins, GitLab CI/CD, and CircleCI. Monitor and Troubleshoot Infrastructure: Monitor and troubleshoot infrastructure issuesusing tools such as Amazon CloudWatch, AWS X-Ray, and AWS CloudTrail. Collaborate with Development Teams: Collaborate with development teams to ensuresmooth deployment of applications and infrastructure. Implement Security Best Practices: Implement security best practices and ensurecompliance with organizational security policies. Optimize Infrastructure for Cost and Performance: Optimize infrastructure for cost andperformance using tools such as AWS Cost Explorer and AWS Trusted Advisor. Requirements Education: Bachelors degree in Computer Science, Information Technology, or relatedfield. Experience: Minimum 3 years of experience in DevOps engineering, with a focus on AWSservices. Technical Skills: AWS services such as EC2, S3, RDS, VPC, and Lambda. Scripting languages such as Python, Ruby, or PowerShell. CI/CD tools such as Jenkins, GitLab CI/CD, and CircleCI. Monitoring and troubleshooting tools such as Amazon CloudWatch, AWS X-Ray, and AWS CloudTrail. Soft Skills: Excellent communication and interpersonal skills. Strong problem-solving and analytical skills. Ability to work in a team environment and collaborate with development teams. Nice to Have Certifications: AWS certifications such as AWS Certified DevOps Engineer or AWSCertified Solutions Architect. Experience with Containerization: Experience with containerization using Docker orKubernetes. Experience with Serverless Computing: Experience with serverless computing using AWSLambda or Azure Functions.

At F5, we strive to bring a better digital world to life. Our teams empower organizations across the globe to create, secure, and run applications that enhance how we experience our evolving digital world. We are passionate about cybersecurity, from protecting consumers from fraud to enabling companies to focus on innovation. Everything we do centers around people. That means we obsess over how to make the lives of our customers, and their customers, better. And it means we prioritize a diverse F5 community where each individual can thrive. Position Summary The F5 NGINX Business Unit is seeking a Devops Software Engineer III based in India. As a Devops engineer, you will be an integral part of a development team delivering high-quality features for exciting next generation NGINX SaaS products. In this position, you will play a key role in building automation, standardization, operations support, and tools to implement and support world-class products; design, build, and maintain infrastructure, services and tools used by our developers, testers and CI/CD pipelines. You will champion efforts to improve reliability and efficiency in these environments and explore and lead efforts towards new strategies and architectures for pipeline services, infrastructure, and tooling. When necessary, you are comfortable wearing a developer hat to build a solution. You are passionate about automation and tools. Youll be expected to handle most development tasks independently, with minimal direct supervision. Primary Responsibilities Collaborate with a globally distributed team to design, build, and maintain tools, services, and infrastructure that support product development, testing, and CI/CD pipelines for SaaS applications hosted on public cloud platforms. Ensure Devops infrastructure and services maintain the required level of availability, reliability, scalability, and performance. Diagnose and resolve complex operational challenges involving network, security, and web technologies. This includes troubleshooting problems with HTTP load balancers, API gateways (e.g., NGINX proxies), and related systems. Take part in product support, bug triaging, and bug-fixing activities on a rotating schedule to ensure the SaaS service meets its SLA commitments. Consistently apply forward-thinking concepts relating to automation and CI/CD processes. Skills Experience with deploying infrastructure and services in one or more cloud environments such as AWS, Azure, Google Cloud. Experience with configuration management and deployment automation tools, such as Terraform, Ansible, Packer. Experience with Observability platforms like Grafana, Elastic Stack etc. Experience with source control and CI/CD tools like git, Gitlab CI, Github Actions, AWS Code Pipeline etc. Proficiency in scripting languages such as Python and Bash. Solid understanding of Unix OS Familiarity or experience with container orchestration technologies such as Docker and Kubernetes. Good understanding of computer networking (e.g., DNS, DHCP, TCP, IPv4/v6) Experience with network service technologies (e.g., HTTP, gRPC, TLS, REST APIs, OpenTelemetry). Qualifications Bachelor’s or advanced degree; and/or equivalent work experience. 5+ years of experience in relevant roles. The About The Role is intended to be a general representation of the responsibilities and requirements of the job. However, the description may not be all-inclusive, and responsibilities and requirements are subject to change. Please note that F5 only contacts candidates through F5 email address (ending with @f5.com) or auto email notification from Workday (ending with f5.com or @myworkday.com ) . Equal Employment Opportunity It is the policy of F5 to provide equal employment opportunities to all employees and employment applicants without regard to unlawful considerations of race, religion, color, national origin, sex, sexual orientation, gender identity or expression, age, sensory, physical, or mental disability, marital status, veteran or military status, genetic information, or any other classification protected by applicable local, state, or federal laws. This policy applies to all aspects of employment, including, but not limited to, hiring, job assignment, compensation, promotion, benefits, training, discipline, and termination. F5 offers a variety of reasonable accommodations for candidates . Requesting an accommodation is completely voluntary. F5 will assess the need for accommodations in the application process separately from those that may be needed to perform the job. Request by contacting accommodations@f5.com.

Job roles and responsibilities : The AWS DevOps Engineer is responsible for automating, optimizing, and managing CI/CD pipelines, cloud infrastructure, and deployment processes on AWS. This role ensures smooth software delivery while maintaining high availability, security, and scalability. Design and implement scalable and secure cloud infrastructure on AWS, utilizing services such as EC2,EKS, ECS, S3, RDS, and VPC Automate the provisioning and management of AWS resources using Infrastructure as Code tools: (Terraform/ Cloud Formation / Ansible ) and YAML Implement and maintain continuous integration and continuous deployment (CI/CD) pipelines using tools like Jenkins, GitLab, or AWS CodePipeline Advocate for a No-Ops model, striving for console-less experiences and self-healing systems Experience with containerization technologies: Docker and Kubernetes Mandatory Skills: Overall experience is 5 - 8 Years on AWS Devops Speicalization (AWS CodePipeline, AWS CodeBuild, AWS CodeDeploy, AWS CodeCommit) Work experience on AWS Devops, IAM Work expertise on coding tools - Terraform or Ansible or Cloud Formation , YAML Good on deployment work - CI/CD pipelining Manage containerized workloads using Docker, Kubernetes (EKS), or AWS ECS , Helm Chart Has experience of database migration Proficiency in scripting languages (Python AND (Bash OR PowerShell)). Develop and maintain CI/CD pipelines using (AWS CodePipeline OR Jenkins OR GitHub Actions OR GitLab CI/CD) Experience with monitoring and logging tools (CloudWatch OR ELK Stack OR Prometheus OR Grafana) Career Level - IC4 Responsibilities Job roles and responsibilities : The AWS DevOps Engineer is responsible for automating, optimizing, and managing CI/CD pipelines, cloud infrastructure, and deployment processes on AWS. This role ensures smooth software delivery while maintaining high availability, security, and scalability. Design and implement scalable and secure cloud infrastructure on AWS, utilizing services such as EC2,EKS, ECS, S3, RDS, and VPC Automate the provisioning and management of AWS resources using Infrastructure as Code tools: (Terraform/ Cloud Formation / Ansible ) and YAML Implement and maintain continuous integration and continuous deployment (CI/CD) pipelines using tools like Jenkins, GitLab, or AWS CodePipeline Advocate for a No-Ops model, striving for console-less experiences and self-healing systems Experience with containerization technologies: Docker and Kubernetes Mandatory Skills: Overall experience is 5 - 8 Years on AWS Devops Speicalization (AWS CodePipeline, AWS CodeBuild, AWS CodeDeploy, AWS CodeCommit) Work experience on AWS Devops, IAM Work expertise on coding tools - Terraform or Ansible or Cloud Formation , YAML Good on deployment work - CI/CD pipelining Manage containerized workloads using Docker, Kubernetes (EKS), or AWS ECS , Helm Chart Has experience of database migration Proficiency in scripting languages (Python AND (Bash OR PowerShell)). Develop and maintain CI/CD pipelines using (AWS CodePipeline OR Jenkins OR GitHub Actions OR GitLab CI/CD) Experience with monitoring and logging tools (CloudWatch OR ELK Stack OR Prometheus OR Grafana)