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Role Mission: The DevOps Engineer will maintain scalable, secure, and highly available cloud infrastructure on AWS. This role is responsible for supporting development stacks in Java and .NET, automating deployment pipelines using tools such as Jenkins, optimizing system performance, and ensuring reliability through robust monitoring and incident response practices. Working closely with development, platform, and DBA teams, the engineer will enable efficient CI/CD workflows, container orchestration using Docker and Kubernetes, and database performance optimization for relational database systems (Oracle, MS SQL Server, PostgreSQL). The role also drives continuous improvement by adopting cloud-native technologies, enhancing security and compliance standards, and promoting DevOps best practices across the organization. Accountabilities: Maintain scalable, secure AWS infrastructure supporting diverse application stacks and database engines. Support software development teams by integrating Java and .NET build, test, and release processes into automated delivery pipelines. Build and optimize CI/CD pipelines using Jenkins to enable reliable and automated deployments. Implement and manage containerized environments using Docker and Kubernetes (e.g., EKS). Monitor, analyze, and fine-tune database performance, query execution plans, and resource utilization across enterprise database platforms (Oracle, MS SQL Server, PostgreSQL). Ensure high availability, rapid incident response, and continuous optimization of cloud and database workloads. Collaborate with cross-functional teams to improve automation, software delivery, database optimization, and security practices. Responsibilities: Manage application build and deployment lifecycles for Java and .NET applications. Develop and maintain CI/CD pipelines using Jenkins for automated build, test, and deployment. Provision and manage AWS infrastructure and managed database services. Analyze slow queries, review execution plans, and implement performance fine-tuning strategies (e.g., indexing, query refactoring, table partitioning, parameter group tuning) for Oracle, MS SQL Server, and PostgreSQL. Deploy and manage containerized applications using Docker and Kubernetes, ensuring proper runtime configuration for JVM memory and .NET application environments. Monitor system and database performance, troubleshooting bottlenecks, high CPU/memory utilization, and connection pooling issues to ensure maximum availability. Implement and enforce security, access control, backup/recovery strategies, and operational best practices across dev, test, and production environments. Team Scope / Stakeholders: Collaborate with Java and .NET Software Engineering teams to streamline build configurations, application packaging, and release workflows. Work with Database Administration (DBA) teams to optimize SQL queries, improve database performance, and enable efficient release processes. Partner with Cloud/Platform Engineering to design and maintain scalable AWS infrastructure. Work closely with QA and Testing teams to integrate automated performance and integration testing within CI/CD pipelines. Engage with Security teams to ensure compliance with security policies, database access control, and data protection standards. Support Product Owners and Business stakeholders by ensuring reliable, high-performing, and timely delivery of applications and services. Requirements: Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience. 3–5+ years of experience in DevOps, cloud engineering, or database reliability roles. Programming & Development Skills: Strong knowledge of Java development ecosystems and build tooling (e.g., Maven, Gradle, JVM tuning). Strong knowledge of .NET / C# development ecosystems and build tooling (e.g., .NET CLI, MSBuild, .NET Core / .NET 6+). Proficiency in scripting and operational programming (e.g., Python, Bash, Shell) for automation. Proficient in writing, debugging, and optimizing complex SQL queries . Cloud, DevOps & Database Skills: Hands-on experience with AWS services (e.g., EC2, S3, RDS, IAM, EKS). Strong experience in CI/CD tools, particularly Jenkins, and version control systems (e.g., Git). Strong experience in relational database query optimization and performance fine-tuning for Oracle , MS SQL Server , and PostgreSQL (e.g., execution plan analysis, indexing strategies, deadlocks, lock escalation, buffer pool usage). Proficiency in database performance monitoring tools (e.g., AWS RDS Performance Insights, Oracle AWR/ADDM, SQL Server Execution Plans/Profiler, PostgreSQL). Proficiency in Infrastructure as Code tools such as Terraform or CloudFormation. Experience with containerization and orchestration using Docker and Kubernetes. Familiarity with application and infrastructure monitoring tools (e.g., CloudWatch, Prometheus, Grafana). Proven ability to troubleshoot complex systems, diagnose performance bottlenecks, and work in a fast-paced, collaborative environment.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.