Site Reliability Engineer; Senior or Observability

Site Reliability Engineer (Senior or Staff), Observability

Mongo

DB’s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, Mongo

DB Atlas, is the only globally distributed, multi‑cloud database available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure.

The SRE Observability team is part of the larger Platform Engineering organization and is dedicated to building and maintaining the observability stack (metrics, logging, tracing) used by all engineering teams. We own related services, including our telemetry pipeline, and our monitoring and alerting infrastructure. The stack includes Victoria Metrics, Splunk, Quick Wit, Jaeger, Fluentbit, and Vector. As an engineer on the team, you’ll also work closely with other SWE and SRE teams to promote and implement best practices in instrumenting and monitoring their services.

This role can sit in our NYC HQ on a hybrid basis or be fully remote from a location in the Eastern or Central time zones.

• Define standards and vision for the mission‑critical observability platform leveraged by all parts of the engineering organization.
• Design, architect, build, and deliver core pieces of our observability services in collaboration with other vested parties.
• Design, implement, and troubleshoot the monitoring of services that seamlessly span the globe—including several cloud providers.
• Build for reliability, making services and infrastructure available, resilient, fault‑tolerant, and self‑healing.
• Identify and configure key metrics to detect incidents and quantify service health, availability, and performance.
• Participate in a week‑long on‑call rotation and blameless post‑mortem process.
• Improve our observability capabilities, optimizing for cost, ease of use, and maintainability.

• Experience running mission‑critical services at scale.
• Experience with observability of large‑scale distributed systems.
• Understanding of information security issues.
• Firm grasp of at least one modern programming language beyond basic scripting.
• Solid understanding of web and network protocols and standards (HTTP, TLS, DNS, etc.).
• Bachelor’s degree in Computer Science or equivalent experience.

• Experience with at least one of the major cloud providers (AWS, Google Cloud, Microsoft Azure).
• Experience working in a Kubernetes‑based environment and Kubernetes clusters.

• Generous compensation package.
• Opportunities to learn on the job (time to up‑skill in new technologies).
• High level of independence in your day‑to‑day work.

Mongo

DB’s base salary range for this role in the U.S. is $127,000—$249,000 USD.

Mongo

DB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

Mongo

DB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.