Job Description
Job Title: Senior DevOps Engineer
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Location: Pittsburgh, PA (Onsite)
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Job Type: Contract/Fulltime
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Job Description
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We are seeking a hands-on Senior DevOps Engineer to build and operate secure, reliable cloud infrastructure and delivery pipelines for enterprise applications, including AI-enabled services. The ideal candidate will demonstrate strong automation skills, production ownership, a stable employment history, continuous professional growth, and excellent client-facing communication.
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Key Responsibilities
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- Design, maintain, and improve CI/CD pipelines for application and infrastructure delivery.
- Provision and manage cloud infrastructure using Infrastructure as Code.
- Build and operate containerized workloads using Docker and Kubernetes.
- Automate environment configuration, deployments, release validation, and rollback.
- Establish monitoring, logging, alerting, and incident-response processes.
- Improve availability, scalability, performance, and cloud cost efficiency.
- Implement secrets management, identity and access controls, vulnerability scanning, and security checks in delivery pipelines.
- Support deployment and operation of AI services, model endpoints, and supporting data or retrieval infrastructure.
- Manage versioning and controlled releases of AI application configurations, prompts, and models where applicable.
- Integrate automated AI evaluations into release pipelines and monitor latency, failures, usage, and operating costs.
- Use AI assistants to support scripting, infrastructure development, troubleshooting, and incident analysis, independently validating generated recommendations.
- Maintain disaster-recovery procedures, operational runbooks, and deployment documentation.
- Collaborate with development, QA, security, and client teams and mentor engineers.
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Required Qualifications
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- Minimum 7 years of relevant engineering experience, including substantial hands-on DevOps, cloud, and automation experience.
- Strong experience with AWS, Azure, or Google Cloud.
- Hands-on experience with Docker and Kubernetes.
- Infrastructure as Code experience using Terraform or an equivalent tool.
- Strong CI/CD experience with Jenkins, Azure DevOps, GitHub Actions, or GitLab CI.
- Proficiency in Linux administration, Git, and scripting using Python, Bash, or PowerShell.
- Working knowledge of networking, DNS, TLS, load balancing, and cloud access controls.
- Experience with monitoring and logging platforms such as Prometheus, Grafana, OpenTelemetry, or cloud-native equivalents.
- Experience with production troubleshooting, incident management, release controls, and recovery procedures.
- Practical experience supporting AI-enabled applications or deploying AI services, including secure credentials, observability, and cost controls.
- Practical use of GitHub Copilot, Cursor, ChatGPT, or Claude for engineering and automation.
- Stable employment history with sustained contributions and continuous growth in skills, responsibilities, or leadership.
- Excellent verbal and written communication, strong interpersonal skills, and a pleasant, professional demeanor.
- Ability to communicate operational risks clearly and collaborate effectively with client stakeholders.
- Availability to work onsite five days per week in Pittsburgh, PA.
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Preferred Candidate Profile
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- Successful delivery on long-term enterprise engagements with increasing ownership.
- Experience in logistics, transportation, or supply-chain environments.
- Experience with Helm, Argo CD, GitOps, and configuration management.
- Exposure to MLOps/LLMOps, model registries, evaluation pipelines, and model-serving infrastructure.
- Experience with cloud cost optimization and capacity planning.
- Relevant cloud or Kubernetes certifications.
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