Senior Remote SRE - Fleet Platform & Kubernetes

The Team

Platform Engineering is the department within SRE that is responsible for a range of critical infrastructure and operational functions that support the broader engineering organization. Among these are our multi-cloud-provider Kubernetes infrastructure, networking, load balancing (including our public-facing edge and internal service mesh), and observability and alerting systems.

The Fleet Management team provides the core runtime environment that empowers our developers to build and ship products to delight our customers. We manage the end-to-end lifecycle of our Kubernetes fleet, alongside the critical components that ensure cluster reliability and security (e.g., CoreDNS, cert-manager, and Gatekeeper). As our infrastructure scales to support new use cases and products, we are spearheading a migration from Terraform-based Infrastructure as Code (IaC) to an Operator-driven lifecycle management model.

This role can be based out of our Austin, Boston, Los Angeles, New York City, Raleigh, or San Francisco offices, remotely in the United States region, or our European office in Dublin.

Responsibilities

• Contribute to developing and maintaining a scalable and secure runtime environment on top of Kubernetes that supports product needs across MongoDB

• Provide internal support for our Kubernetes ecosystem, partnering with engineering teams to help them solve domain-specific problems

• Participate in a 24/7 on-call rotation to resolve critical issues

• Prioritize blameless post-mortems and dedicate engineering time to systemic fixes, ensuring you aren’t paged for the same issue twice

You may be a good fit if you

• Have 6+ years of experience in software development and operating distributed systems

• Are proficient in Go, Python, or a similar language, with a strong commitment to code quality and testing practices (writing unit, integration, and E2E tests)

• Have deep experience using and extending containerization technologies, preferably Kubernetes

• Have a solid understanding of Linux operating system internals and networking concepts (e.g., file systems, TCP/IP, DNS, TLS)

• Possess a customer focused mindset, treating internal developers as your primary users

• Have strong operational ownership, including a track record of debugging complex production issues and driving them to resolution

• Prefer automation over manual processes ("allergic to ops work")

• We are a small team of software engineers with a strong bias toward building software solutions to eliminate toil

Strong candidates may also have experience with

• Designing and implementing secure, multi-tenant runtime environments from first principles

• Proficiency with Kubernetes ecosystem tools such as Helm, Kustomize, Gatekeeper, Kyverno, and CRDs/Operators, CRI, CSI

• Expertise in cloud infrastructure platforms, including AWS, GCP, or Azure

• Proficiency in provisioning infrastructure using tools like Terraform, Crossplane, and AWS Controllers for Kubernetes (ACK)

• Advanced Linux systems internals and networking concepts specifically relevant to containers, such as name spaces and cgroups

About MongoDB

Mongo

DB 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. Mongo

DB’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, Mongo

DB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on Mongo

DB for their most important applications, we’re powering the next era of software.

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DB is our Leadership Commitment, () guiding how and why we make decisions, show up for each other, and win. It’s what makes us Mongo

DB.

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