Full-Time Senior DevOps Engineer

POSITION SUMMARY: As the Senior DevOps Engineer focused on Observability, you will set observability standards, lead automation efforts and mentor engineers ensuring all monitoring and Datadog configuration changes are implemented Infrastructure-as-Code (IaC). You will lead the design and management of a code-driven Datadog observability platform, providing end-to-end visibility into Java applications, Kubernetes workloads and containerized infrastructure. This role emphasizes cost-effective observability at scale requiring deep expertise in Datadog monitoring, logging, tracing and optimization techniques. You'll collaborate closely with SRE, DevOps and Software Engineering teams to standardize monitoring and logging practices to deliver scalable, reliable and cost-efficient observability solutions. This is a hands-on engineering role focused on observability-as-code. All monitoring, logging, alerting, and Datadog configurations are defined and managed through Terraform, APIs and CI/CD workflows — not manual configuration in the Datadog UI.

PRIMARY RESPONSIBILITIES:

• Own and define observability standards for Java applications, Kubernetes workloads and cloud infrastructure
• Configure and manage the Datadog platform using Terraform and Infrastructure-as-Code (IaC) best practices
• Drive adoption of structured JSON logging, distributed tracing and custom metrics across Java and Python services
• Optimize Datadog usage through cost governance, log filtering, sampling strategies and automated reporting
• Collaborate closely with Java developers and platform engineers to standardize instrumentation and alerting
• Troubleshoot and resolve issues with missing or misconfigured logs, metrics and traces, working with developers to ensure proper instrumentation and data flow into Datadog
• Lead incident response efforts using Datadog insights for actionable alerting, root cause analysis (RCA) and reliability improvements
• Serve as the primary point of contact for Datadog-related requests, supporting internal teams with onboarding, integration and usage questions
• Continuously audit and tune monitors for alert quality, reducing false positives and improving actionable signal detection
• Maintain clear internal documentation on Datadog usage, standards, integrations and IaC workflows
• Evaluate and propose improvements to the observability stack, including new Datadog features, OpenTelemetry adoption and future architecture changes
• Mentor engineers and develop internal training programs on Datadog, observability-as-code and modern log pipeline architecture

QUALIFICATIONS:

• Bachelor’s degree in Computer Science, Engineering, Mathematics, Physics or a related technical field
• 5+ years of experience in DevOps, Site Reliability Engineering, or related roles with a strong focus on observability and infrastructure as code
• Hands-on experience managing and scaling Datadog programmatically using code-based workflows (e.g. Terraform, APIs, CI/CD)
• Deep expertise in Datadog including APM, logs, metrics, tracing, dashboards and audit trails
• Proven experience integrating Datadog observability into CI/CD pipelines (e.g. GitLab CI, AWS CodePipeline, GitHub Actions)
• Solid understanding of AWS services and best practices for monitoring services on Kubernetes infrastructure
• Strong background in Java or Python application development is preferred
• Familiarity with other observability and monitoring tools (e.g., ELK, Prometheus, Grafana, OpenTelemetry, New Relic, Dynatrace, Splunk, Sysdig) is a plus

What is the last date for applying to the job?

Which countries are accepted for this remote job?