Senior DevOps Engineer (Azure) in Quincy
Role details
Job location
Tech stack
Requirements
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Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent practical experience) \n
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5+ years of experience in DevOps, Infrastructure Engineering, or Site Reliability Engineering \n
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Deep Linux administration and troubleshooting experience \n
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Strong hands-on experience with Kubernetes in production environments \n
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Experience with Docker and containerized application deployments \n
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Experience supporting on-premises software deployments and customer environments \n
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Strong experience designing and maintaining CI/CD pipelines (TeamCity, GitHub Actions, GitLab CI, Jenkins, or similar) \n
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Experience with scripting and automation using Python, Bash, Go, or similar \n
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Experience with cloud platforms, preferably Microsoft Azure \n
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Strong understanding of networking fundamentals including DNS, TLS, VPNs, firewalls, and load balancing \n
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Experience with Git-based source control workflows \n
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Excellent troubleshooting, documentation, and communication skills \n
Desired Skills & Experience \n \n
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Experience with Prometheus and Grafana \n
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Terraform, Ansible, or other Infrastructure-as-Code tools \n
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Experience with PostgreSQL, Redis, Elasticsearch, or RabbitMQ \n
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Load and performance testing using tools such as k6, JMeter, or Locust \n
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Experience with Kubernetes management tools such as K9s or Headlamp \n
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Familiarity with DigitalOcean environments \n
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Experience supporting SOC 2 or similar compliance initiatives
Benefits & conditions
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Azure certifications (AZ-104, AZ-400, or similar) \n
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Experience with AI-assisted development tools such as GitHub Copilot or Claude \n
What You Will Be Doing \n \n
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Design, build, and maintain development, QA, staging, and performance testing environments \n
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Automate infrastructure provisioning and environment lifecycle management \n
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Develop and maintain deployment tooling for both cloud and customer-hosted environments \n
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Own and improve CI/CD pipelines, release automation, and deployment workflows \n
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Partner with engineering teams to improve software delivery, deployment reliability, and operational efficiency \n
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Support production issues alongside cloud operations teams and participate in root cause analysis \n
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Build monitoring, logging, alerting, and observability solutions across engineering environments