Senior DevOps Engineer

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 EXPLAIN ANALYZE / pg_stat_statements).


• 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.