Senior DevOps Engineer – Development & Site Reliability Engineering (SRE)

Position: Senior DevOps Engineer – Development & Site Reliability Engineering (SRE)

Location: Pittsburgh, PA, USA (Onsite 5 days/week from Day 1)

Experience Level: Minimum 7+ Years

Role Overview & Key Responsibilities:

• Build, automate, and operate secure, reliable cloud platforms and enterprise applications, including AI-enabled services.

• Design, maintain, and enhance CI/CD pipelines for application and infrastructure delivery using Jenkins, Azure DevOps, GitHub Actions, or GitLab CI.

• Provision and manage cloud infrastructure using Infrastructure as Code (Terraform).

• Build, maintain, and scale containerized workloads using Docker and Kubernetes.

• Apply core SRE practices, establishing SLIs/SLOs, error budgets, monitoring, logging, tracing, and automated alerting using Prometheus, Grafana, and OpenTelemetry.

• Support deployment and operation of AI services, model endpoints, credentials, prompt releases, and AI evaluation metrics while monitoring latency and costs.

• Write maintainable automation scripts and tools in Python, Bash, or PowerShell, collaborating with developers on production readiness and code fixes.

• Enforce security checks, identity/access controls, secrets management, and maintain operational runbooks and disaster recovery plans.

Required Qualifications & Skills:

• Minimum 7 years of relevant engineering experience in DevOps, software development, cloud automation, and production reliability.

• Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.

• Strong hands-on expertise with AWS, Azure, or GCP cloud platforms.

• Deep proficiency with Docker, Kubernetes, Terraform, and CI/CD tools.

• Solid programming/scripting skills in Python, Bash, or PowerShell with strong Linux administration skills.

• Practical understanding of SRE principles, observability tools (Prometheus, Grafana, OpenTelemetry), and production troubleshooting.

• Practical experience supporting AI-enabled applications/endpoints and using AI assistants (Copilot, Cursor, ChatGPT, Claude) for engineering tasks.

• Stable employment history, excellent oral/written communication skills, and full availability to work onsite in Pittsburgh 5 days/week from Day 1.

• Preferred: Experience in logistics, transportation, or supply-chain environments; Helm, Argo CD, GitOps, and relevant Cloud/Kubernetes certifications.