Senior DevOps Engineer - Development & Site Reliability Engineering (SRE)
Job Description
Position: Senior DevOps Engineer – Development & Site Reliability Engineering (SRE)
\n
Location: Pittsburgh, PA, USA (Onsite 5 days/week from Day 1)
\n
Experience Level: Minimum 7+ Years
\n
\n
Role Overview & Key Responsibilities:
\n
• Build, automate, and operate secure, reliable cloud platforms and enterprise applications, including AI-enabled services.
\n
• Design, maintain, and enhance CI/CD pipelines for application and infrastructure delivery using Jenkins, Azure DevOps, GitHub Actions, or GitLab CI.
\n
• Provision and manage cloud infrastructure using Infrastructure as Code (Terraform).
\n
• Build, maintain, and scale containerized workloads using Docker and Kubernetes.
\n
• Apply core SRE practices, establishing SLIs/SLOs, error budgets, monitoring, logging, tracing, and automated alerting using Prometheus, Grafana, and OpenTelemetry.
\n
• Support deployment and operation of AI services, model endpoints, credentials, prompt releases, and AI evaluation metrics while monitoring latency and costs.
\n
• Write maintainable automation scripts and tools in Python, Bash, or PowerShell, collaborating with developers on production readiness and code fixes.
\n
• Enforce security checks, identity/access controls, secrets management, and maintain operational runbooks and disaster recovery plans.
\n
\n
Required Qualifications & Skills:
\n
• Minimum 7 years of relevant engineering experience in DevOps, software development, cloud automation, and production reliability.
\n
• Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
\n
• Strong hands-on expertise with AWS, Azure, or GCP cloud platforms.
\n
• Deep proficiency with Docker, Kubernetes, Terraform, and CI/CD tools.
\n
• Solid programming/scripting skills in Python, Bash, or PowerShell with strong Linux administration skills.
\n
• Practical understanding of SRE principles, observability tools (Prometheus, Grafana, OpenTelemetry), and production troubleshooting.
\n
• Practical experience supporting AI-enabled applications/endpoints and using AI assistants (Copilot, Cursor, ChatGPT, Claude) for engineering tasks.
\n
• Stable employment history, excellent oral/written communication skills, and full availability to work onsite in Pittsburgh 5 days/week from Day 1.
\n
• Preferred: Experience in logistics, transportation, or supply-chain environments; Helm, Argo CD, GitOps, and relevant Cloud/Kubernetes certifications.