MongoDB’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, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere—on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, it’s no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications.
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 Deployments team designs and maintains our continuous delivery infrastructure, ensuring reliable code deployment from development through production for all engineering teams. This infrastructure is primarily composed of Argo Workflows and ArgoCD. The team also provides tooling that enables clear system ownership and facilitates self-service onboarding for development teams.
We are looking to speak to candidates who are based near one of our MongoDB offices for our hybrid working model.
The ideal candidate should- Have 6+ years of experience in software development and operating distributed systems
- Proficiency in Python, Go, or a similar language
- Proven experience building and operating large-scale continuous integration and continuous deployment (CI/CD) pipelines
- Possess a customer-focused mindset
- Value efficiency in processes and operations
- Prefer automation over manual process (“allergic to ops work”). We are a small team of software engineers with a strong bias towards software solutions to avoid toil
- Experience using and extending containerization technologies, particularly Kubernetes, to enhance application agility, optimize resource utilization, and accelerate time-to-market
- Expertise in cloud infrastructure platforms, including AWS, Google Cloud Platform (GCP), or Azure
- Understanding of Linux operating system internals and networking concepts (e.g., TCP/IP, DNS, TLS, routing
- Contribute to developing a world-class continuous deployment experience, enabling the rapid and reliable shipment of MongoDB products
- This includes, but is not limited to, contributing to open-source projects, or engineering software-based approaches like Kubernetes operators to streamline processes
- Own the onboarding flow other engineering teams follow when launching a new product or service
- Collaborate with other teams within Platform Engineering to ensure a consistent service-onboarding experience
- Provide internal support for our deployment systems, including answering questions and addressing issues
- Participate in a 24/7 on-call rotation to resolve issues involving the deployment infrastructure
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 is an equal opportunities employer.
Req ID: 1263097751
