Job Title: Senior DevOps Engineer
Location: Pittsburgh, PA (Onsite)
Job Type: Contract/Fulltime Job Description
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.
Key Responsibilities:
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.
Required Qualifications:- 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, Open
- Telemetry, 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.Preferred Candidate Profile
- 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.
