Senior MongoDB Platform Engineer

Airlock Digital•Boston, MA

About The Position

Airlock Digital is seeking a Senior MongoDB Platform Engineer to define how the company designs, operates, and improves MongoDB across its multi-tenant cloud platform and customer-deployed products. The role will establish standards, tools, and engineering practices that help teams make sound database decisions, improve product performance and resilience, and manage growth safely. The environment includes MongoDB Atlas and self-managed deployments supporting high-volume endpoint activity, policy and reputation data, background processing, aggregation pipelines, and tenant-specific databases. The engineer will work with Cloud, Server, DevOps, Security, and Support teams to turn production evidence and product needs into a clear MongoDB roadmap. The position involves setting strategy and architecture standards; building observability, performance-improvement, automation, and self-service capabilities; governing lifecycle changes and recovery; and helping the engineering organization develop MongoDB expertise. Planned after-hours maintenance is required. Airlock Digital is a global application-control and allowlisting company supporting customers across Australia, North America, and EMEA. It describes its culture as collaborative and driven, with a focus on respect, determination, and integrity. The position is offered for San Francisco, Denver, Boston, or remote.

Requirements

At least 7 years of production database engineering and administration experience, including substantial responsibility for MongoDB platforms where availability, performance, recoverability, and growth matter.
A record of defining database strategy, standards, and roadmaps and translating them into engineering practices adopted by teams.
Deep expertise with MongoDB Atlas and self-managed deployments, including architectural judgment across performance, resilience, security, scalability, recovery, and cost.
Demonstrated ability to use production evidence to identify systemic constraints, set engineering priorities, and guide improvements to data models, access patterns, indexes, and application behavior.
Experience building observability, automation, guardrails, and self-service capabilities that improve consistency, reduce operational risk, and enable engineering teams to work more independently.
Experience partnering with product and engineering teams to influence architecture and deliver improvements across application, infrastructure, and database boundaries.
Experience leading complex production changes and database incidents and turning lessons into stronger standards, tooling, and product design.
Clear written and verbal communication skills, including the ability to explain technical tradeoffs and investment priorities to engineers and company leaders.

Nice To Haves

Experience reading and tuning MongoDB access patterns in Go applications using the official driver and in Ruby on Rails applications using Mongoid.
Experience operating multi-tenant SaaS MongoDB environments, including sharded clusters, high-volume telemetry, aggregation pipelines, sustained read and write workloads, retention requirements, and multiple MongoDB versions.
Experience packaging and supporting self-managed MongoDB deployments using Linux services, Docker or Podman containers, and persistent storage, including updates and recovery under varied customer constraints.
Familiarity with Azure, Kubernetes, Helm, infrastructure as code, CI/CD pipelines, and integrating database operations with application release processes.
Experience in cybersecurity or another security-sensitive product environment.
A bachelor's degree in computer science, software engineering, or a related field; equivalent practical experience is also welcomed.

Responsibilities

Define and own MongoDB strategy, roadmap, architecture standards, and operating model across cloud and customer-deployed products, balancing performance, resilience, security, scalability, customer impact, and cost.
Build and lead MongoDB observability and performance-improvement capabilities, establishing standards, tooling, and practices to understand product database usage, prioritize improvements based on production evidence, and measure results.
Establish safe, repeatable approaches and controls for MongoDB upgrades, maintenance, topology changes, and failover validation to reduce risk and customer disruption.
Define and govern MongoDB resilience and recovery capabilities, set recovery expectations, validate preparedness, identify systemic risks, and drive improvements across cloud and customer-managed deployments.
Build scalable automation, guardrails, and self-service capabilities that make MongoDB environments consistent, auditable, and safer for engineering teams to operate.
Build MongoDB expertise across engineering by defining guidance, sharing expertise, reviewing important design decisions, and explaining the performance, reliability, and scalability implications of choices.
Lead database incident response and root-cause analysis, and turn findings into improvements to platform standards, tooling, and product design.