What are the responsibilities and job description for the SRE/DevOps Engineer position at Advanced Tech Placement?
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