MongoDB
SeniorPlatformEngineer
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“Senior Platform Engineer at MongoDB. Skills: Platform Engineering, Distributed Systems, Cloud Providers, Go. Work with engineering teams. investigate gaps and limitations”
What You'll Achieve.
enables MongoDB engineering teams to reliably deploy and operate their own production services; improve developer productivity; familiarized yourself with much of our environment; making regular contributions to our tooling/services; jumping in to help resolve incidents; respond to user requests; drive platform adoption across the company; subject matter expert in at least one component of our platform; made a number of sizable contributions to our code base
Industry & Context.
solve complex distributed computing and platform engineering problems
What They're Looking For.
Must Have
built and operated large-scale distributed systems in cloud providers, backend programming background, Fluency in Go, experience working with AI coding agents, experience designing and implementing medium-to-large software projects, experience operating production Kubernetes clusters, practical experience defining and operating against SLI/SLOs, experience with observability tooling, Linux and TCP/IP networking skills, Familiar with standard authentication protocols, Familiar with web services and/or Kubernetes controller development, experience using CI/CD workflows to deploy production services
Nice to Have
AWS strongly preferred, deep experience with another compiled or strongly-typed backend language is acceptable, can demonstrate building high quality context to yield high quality outputs, driving design reviews, mentoring less-senior engineers, Pragmatic, detail-oriented, self-motivated, understands the benefits of collaboration
What You'll Do.
Work with engineering teams
investigate gaps and limitations
understand new infrastructure requirements
Design self-service platform services
develop developer tooling
write and review automation
review configuration management
review application code
Author functional specifications
review scoping documents
Own and operate internal development platform
How You'll Work.
Team & Collaboration
Work with numerous engineering teams; working as a team to solve complex problems; Work on a distributed team; frequently interacts with remote engineers
Process & Methodology
driving design reviews, scoped, executed, and documented a medium to large sized platform project
Full Job Description
The Infrastructure Engineering team is responsible for building and maintaining a self-service internal development platform that enables MongoDB engineering teams to reliably deploy and operate their own production services and products. We work with numerous engineering teams across the company to understand their infrastructure requirements and development workflows, develop broadly applicable self-service platform services and tooling, continuously monitor how platform services are being utilized, and look for ways to improve developer productivity through automation and education. We are big open source enthusiasts and use a number of open source tools in our stack (contributing upstream whenever possible). Some of the tools we use regularly include Go, AWS, Kubernetes, Crossplane, Terraform, Helm, Drone, Prometheus, and Grafana. However, technology is nothing without a stellar team of engineers that are focused on doing high quality work and working as a team to solve complex distributed computing and platform engineering problems. This is where you come in! We are looking to speak to candidates who are based in Gurugram for our hybrid working model. Our ideal candidate Has built and operated large-scale distributed systems in cloud providers (AWS strongly preferred) Has a strong backend programming background. Fluency in Go is strongly preferred; deep experience with another compiled or strongly-typed backend language is acceptable Has experience working with AI coding agents and can demonstrate building high quality context to yield high quality outputs Has experience designing and implementing medium-to-large software projects, including driving design reviews and mentoring less-senior engineers Pragmatic, detail-oriented, self-motivated, and understands the benefits of collaboration Strong experience operating production Kubernetes clusters, not just deployed to it Has practical experience defining and operating against SLI/SLOs for services they owned Str
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