Senior Software Engineer II, Observability

Design and maintain Python tooling and Terraform modules that standardize Datadog configuration across services.

Eliminate manual setup by codifying monitors, dashboards, SLOs, and alerting patterns.

Improve consistency, repeatability, and reliability of observability across the organization.

Define and implement observability blueprints that integrate high‑fidelity metrics, logs, and traces into the development lifecycle.

Codify best practices so teams get out-of-the-box visibility without needing deep observability expertise.

Raise the baseline for service health, debuggability, and operational readiness

Own critical parts of the Datadog platform configuration.

Improve data quality, signal-to-noise ratio, and alert reliability.

Partner with teams to adopt telemetry effectively while managing ingestion and alerting costs.

Upgrade and maintain tracers, agents, and shared observability libraries.

Ensure upgrades are automated, backwards-compatible, and minimally disruptive to product teams.

Reduce operational risk by improving rollout and validation processes.

Collaborate with Platform and Infrastructure teams to embed monitoring into systems such as Kafka, gRPC services, Kubernetes, and AWS-managed services.

Improve production visibility and reduce mean time to detect (MTTD) and resolve (MTTR) incidents

Write clean, well-tested, and maintainable Python code and Terraform modules.

Participate in architecture and design reviews; provide thoughtful feedback in code reviews.

Take ownership of projects end-to-end, from design and implementation through production rollout and support.

Assist team members to solve problems and develop their own skills.

Foster a collaborative mindset within the team.