Experience:
7
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12 Years
We are seeking a DevOps Engineer to design, automate, and optimize our cloud infrastructure, CI/CD pipelines, and observability ecosystem. This role focuses on Azure DevOps, Terraform‑based infrastructure, containerization, and Kubernetes, with strong emphasis on monitoring, logging, and system reliability.
Key Responsibilities
- Azure DevOps Pipelines — Build, maintain, and optimize CI/CD pipelines supporting application deployments and infrastructure automation.
- Infrastructure as Code — Use Terraform to provision, manage, and scale cloud resources, including containerized workloads and Kubernetes clusters.
- Containerization & Kubernetes — Implement and support container orchestration, ensuring seamless integration between software and underlying hardware.
- Observability & Monitoring — Manage and enhance the observability stack using tools such as Splunk, Datadog, Prometheus, ELK, and Grafana.
- Logging & Alerting — Configure log pipelines, dashboards, and alerting rules to ensure system reliability and rapid incident response.
- Automation — Automate repetitive tasks, environment provisioning, and deployment workflows to improve engineering velocity.
- Cross‑Functional Collaboration — Partner with development, QA, and platform teams to ensure smooth delivery and operational excellence.
Required Skills & Experience
- Azure Cloud — Hands‑on experience with Azure DevOps, Azure services, and cloud‑native architectures.
- Terraform Expertise — Strong proficiency in Terraform for IaC and environment provisioning.
- Kubernetes — Experience deploying, scaling, and managing workloads in Kubernetes clusters.
- CI/CD — Proven experience building and maintaining CI/CD pipelines.
- Observability Tools — Experience with Splunk (primary), plus familiarity with Datadog, Prometheus, ELK, or Grafana.
- Scripting — Proficiency in scripting languages (e.g., Bash, PowerShell, Python) for automation and tooling.
- Systems Integration — Ability to integrate software systems with underlying hardware and infrastructure components.
Preferred Qualifications
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Container Security — Knowledge of container security best practices and vulnerability scanning.
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Monitoring Architecture — Experience designing dashboards, SLIs/SLOs, and alerting strategies.
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Performance Optimization — Ability to analyze system performance and optimize resource usage.