DevOps Engineer

ITMC Systems, Inc; Pittsburgh (Allegheny County); On-site; USD 150,000 - 190,000; Full time

Job summary

ITMC Systems, Inc. seeks a hands-on Senior DevOps Engineer to build and operate secure cloud infrastructure and CI/CD pipelines for enterprise apps, including AI-enabled services. You will own automation, production reliability, and client communications while mentoring engineers in Pittsburgh.

Required 7+ years in DevOps with Docker, Kubernetes, Terraform, and robust scripting. Onsite five days/week in Pittsburgh, with strong security and cost-control focus.

Qualifications

• 7+ years in hands-on DevOps, cloud, and automation.
• Strong experience with AWS, Azure, or Google Cloud.
• Docker and Kubernetes proficiency.
• IaC with Terraform or equivalent tool.
• CI/CD with Jenkins, Azure DevOps, GitHub Actions, or GitLab CI.
• Linux administration, Git, and scripting (Python, Bash, PowerShell).
• Networking incl. DNS, TLS, load balancing; IAM and security posture.
• Experience with monitoring/logging comps (Prometheus, Grafana, OpenTelemetry).
• Production troubleshooting, incident management, release controls.
• AI-enabled service support, cost controls, observability.

Responsibilities

• Design, maintain, and improve CI/CD pipelines for delivery.
• Provision and manage cloud infrastructure via IaC.
• Operate Docker containers and Kubernetes workloads.
• Automate deployments, rollbacks, monitoring, and logging.
• Establish security checks, secrets management, and access controls.
• Support AI services, model endpoints, and data infrastructure.
• Mentor engineers and collaborate across teams.
• Maintain disaster-recovery procedures and runbooks.

Skills

DevOps engineering

Cloud platforms

Automation

CI/CD

Python scripting

Bash scripting

PowerShell scripting

Linux administration

Networking fundamentals

Security controls

Incident management

Tools

Docker

Kubernetes

Terraform

Jenkins

Azure DevOps

GitHub Actions

GitLab CI

Prometheus

Grafana

OpenTelemetry

GitHub Copilot / AI tools

Terraform or equivalents

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, 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.

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.