DevOps Engineer - Cloud, Automation & AI
Job Description
Role:
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Location: Pittsburgh, PA, USA
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Experience: Minimum 7 years
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Rate : Maximum 120K Per year
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Work Arrangement: Onsite five days per week. Candidates must be able to commute to the Pittsburgh client location.
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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.
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· Strong experience with AWS, Azure, or Google Cloud.
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· Hands-on experience with Docker and Kubernetes.
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· Infrastructure as Code experience using Terraform or an equivalent tool.
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· Strong CI/CD experience with Jenkins, Azure DevOps, GitHub Actions, or GitLab CI.
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· Proficiency in Linux administration, Git, and scripting using Python, Bash, or PowerShell.
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· Working knowledge of networking, DNS, TLS, load balancing, and cloud access controls.
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· Experience with monitoring and logging platforms such as Prometheus, Grafana, OpenTelemetry, or cloud-native equivalents.
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· Experience with production troubleshooting, incident management, release controls, and recovery procedures.
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· Practical experience supporting AI-enabled applications or deploying AI services, including secure credentials, observability, and cost controls.
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· Practical use of GitHub Copilot, Cursor, ChatGPT, or Claude for engineering and automation.
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· Stable employment history with sustained contributions and continuous growth in skills, responsibilities, or leadership.
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· Excellent verbal and written communication, strong interpersonal skills, and a pleasant, professional demeanor.
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· Ability to communicate operational risks clearly and collaborate effectively with client stakeholders.
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· Availability to work onsite five days per week in Pittsburgh, PA.