Female Senior DevOps Engineer

LOOKING FOR FEMALE SENIOR DEVOPS ENGINEER (5+years of Experience) 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