SRE/DevOps Engineer

We are looking for a SRE/DevOps Engineer. A highly technical, hands-on engineer to join a critical engineering organization supporting enterprise infrastructure and platform modernization initiatives. This role involves solving complex technical problems, automating infrastructure, and improving development efficiency through modern DevOps practices and AI-enabled tooling.

Responsibilities:

• Design, build, and maintain CI/CD pipelines supporting enterprise applications.
• Develop automation solutions using Python.
• Improve software delivery through DevOps and Site Reliability Engineering best practices.
• Support Infrastructure as Code (IaC) initiatives.
• Assist with AWS cloud infrastructure deployments and automation.
• Collaborate with senior engineers to improve deployment reliability, scalability, and operational efficiency.
• Utilize AI-powered developer tools (such as Claude) to improve engineering productivity and software development workflows.
• Troubleshoot infrastructure, application deployment, networking, and automation issues.
• Support containerized applications running within Kubernetes/EKS environments.
• Continuously identify opportunities to automate manual operational processes.

Requirements:

• This is not a leadership or management role.
• The ideal candidate is someone who enjoys rolling up their sleeves and solving complex technical problems.
• The manager specifically wants engineers already incorporating AI into their daily development process—not someone simply familiar with AI concepts.

Required Skills:

• DevOps / SRE:

• Strong Site Reliability Engineering (SRE) experience
• DevOps engineering background
• CI/CD pipeline development and maintenance

• Programming:

  • Python (primary development language)

• CI/CD Tools:

• Experience with one or more: Jenkins, Maven, Git, CI/CD automation platforms

• Cloud:

• AWS
• Cloud infrastructure fundamentals
• Infrastructure automation

• Infrastructure:

• Infrastructure as Code (IaC)
• Server administration concepts
• Linux fundamentals
• Basic networking knowledge
• Deployment automation

• AI Tools:

• Hands-on experience using AI development tools such as Claude
• AI-assisted software development
• AI productivity tools
• Prompt engineering for software engineering workflows

Preferred Skills:

• Java development experience
• Amazon EKS
• Kubernetes
• Containerization
• Docker
• Cloud-native application deployment
• Monitoring and operational automation
• Enterprise platform support