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MongoDB

Site Reliability Engineer (Senior or Staff), Observability

Reposted 22 Days Ago
Easy Apply
Remote or Hybrid
7 Locations
127K-249K Annually
Senior level
Easy Apply
Remote or Hybrid
7 Locations
127K-249K Annually
Senior level
This role involves building and maintaining observability services, ensuring service reliability, and collaborating with other teams on best practices.
The summary above was generated by AI
Team and Role Overview

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 to ensure the smooth functioning of their service. We also own related services, including our telemetry pipeline, and our monitoring and alerting infrastructure.  Our stack includes VictoriaMetrics, Splunk, QuickWit, Jaeger, Fluentbit, and Vector. In addition to owning our observability infrastructure, 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 is a highly collaborative role, and you will get to own some of the most relied upon internal infrastructure at Mongo.

This role can sit in our NYC HQ on a hybrid basis, or it can be fully remote while working from a location based in either Eastern or Central time zones.

Responsibilities
  • 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 spans 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
Requirements
  • 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
Nice to haves
  • Experience with at least one of the major cloud providers (Amazon Web Services, Google Compute, Microsoft Azure)
  • Experience working in a kubernetes-based environment kubernetes clusters
What's in it for you
  • 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
About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB 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.

MongoDB, 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.

Req ID: 1263097733

MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates.

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

Top Skills

AWS
Fluentbit
GCP
Jaeger
Kubernetes
Azure
Quickwit
Splunk
Vector
Victoriametrics

MongoDB Palo Alto, California, USA Office

499 Hamilton Avenue, Palo Alto, CA, United States, CA 94301

MongoDB San Francisco, California, USA Office

88 Kearny Street, San Francisco, CA, United States, 94108

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