Site Reliability Engineer; Senior or Observability

Site Reliability Engineer (Senior or Staff), Observability

Join to apply for the Site Reliability Engineer (Senior or Staff), Observability role at MongoDB

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. Atlas is the platform that enables customers to build and run applications anywhere—on premises, or across cloud providers.

The SRE Observability team is part of the Platform Engineering organization, dedicated to building and maintaining the observability stack (metrics, logging, tracing) used by all engineering teams to ensure the smooth functioning of services. We own related services, including telemetry pipelines, monitoring, and alerting infrastructure. The stack includes Victoria Metrics, Splunk, Quick Wit, Jaeger, Fluentbit, and Vector. The role involves collaborating with SWE and SRE teams to promote and implement best practices in instrumenting and monitoring services.

This is a highly collaborative role with ownership of key internal infrastructure.

This role can sit in our NYC HQ on a hybrid basis, or be fully remote from a location in either 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 observability services in collaboration with other vested parties
• Design, implement, and troubleshoot monitoring of services across the globe and multiple cloud providers
• Build for reliability: ensure services and infrastructure are 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 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
• An 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 (Amazon Web Services, Google Compute, Microsoft Azure)
• Experience working in a Kubernetes-based environment

• Generous compensation package
• Opportunities to learn on the job (time to upskill in new technologies)
• High level of independence in day-to-day work

Mongo

DB is committed to developing a supportive and enriching culture for everyone. We offer affinity groups, fertility assistance, and a generous parental leave policy to support wellbeing and professional/personal journeys. Learn more about working at Mongo

DB and the impact you can make.

Mongo

DB is committed to providing accommodations for individuals with disabilities during the 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 and prohibits discrimination and harassment of any type. Hiring decisions are made 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.

Req :

Salary:
Mongo

DB’s base salary range for this role in the U.S. is: $127,000—$249,000 USD. Compensation is unique to each candidate and location and may include equity, 401(k), paid time off, parental leave, and other benefits where eligible.