Join MongoDB's Networking & Observability team as a remote-in-Canada Software Engineer (Software Engineer 3). The role focuses on improving MongoDB networking, resource efficiency, and low-overhead observability (including OpenTelemetry), operating on the lower stack of a distributed database. Requires 3+ years building distributed systems and production-level experience in C++; responsibilities include owning medium-sized projects, collaborating across teams, and contributing to design, implementation, and code review.

Role for a Software Engineer 3 on MongoDB’s Networking & Observability team (New York City or remote within the United States and Canada). Work includes improving networking, resource utilization, and low-overhead observability (OpenTelemetry), contributing to distributed database performance, scalability, and availability. Requires production-level C++ experience, solid CS fundamentals, and 3+ years building distributed systems.

Provide technical support and architecture/performance troubleshooting across the MongoDB ecosystem (database server, drivers, Atlas, Cloud Manager). Role requires systems and storage engineering experience, networking knowledge, ability to read code and script, and experience with production database systems. Weekend shift schedule (Saturday–Wednesday post-ramp); candidates must be US citizens to meet FedRAMP requirements. Base salary range for US candidates is $90,000–$176,000 per year.

Operate and monitor MongoDB Atlas (multi-cloud DBaaS), including alert dashboards, log review, customer instance access, performance troubleshooting, and incident diagnosis. Requires on-call/cloud operations/SRE experience (minimum 2 years), Linux administration, monitoring, networking knowledge, familiarity with AWS/GCP/Azure, and ability to script. Role supports FedRAMP environments and requires work on U.S. soil.

Join MongoDB's Deployments team within Platform Engineering to design, maintain, and support continuous delivery infrastructure (primarily Argo Workflows and ArgoCD) for multi-cloud Kubernetes environments. The role requires 6+ years of software development and distributed systems experience, proficiency in Python or Go, strong CI/CD and containerization expertise, knowledge of AWS/GCP/Azure, Linux internals, and networking. Responsibilities include owning onboarding flows, contributing software solutions (including operators), supporting deployment systems, and participating in a 24/7 on-call rotation.

Work on MongoDB's Deployments team to design, build, and operate continuous delivery infrastructure (primarily Argo Workflows and ArgoCD) and related tooling to support multi-cloud Kubernetes deployments. Responsibilities include owning onboarding flows, providing internal support, contributing to automation and open-source/engineering solutions (e.g., Kubernetes operators), and participating in a 24/7 on-call rotation. Requires 6+ years experience in software development and operating distributed systems and proficiency in Python, Go, or similar.

Join the SRE Atlas team to design, build, operate, and automate a resilient multi-cloud platform (AWS/Azure/GCP). Requires 5+ years running critical systems at scale, strong Linux fundamentals, proficiency in at least one modern programming language (Go, Python, Ruby), networking protocol knowledge, a customer-first mindset, participation in a 24/7 on-call rotation, and US citizenship. U.S. base salary range: $127,000–$249,000 USD/year.

Join MongoDB's Fabric team as a Site Reliability Engineer responsible for the multi-cloud, globally connected network that enables secure communication between services. The role emphasizes networking fundamentals (TCP/IP, IPv6, DNS, TLS/mTLS, BGP), service mesh and load-balancing, cloud network primitives (VPCs, routing, VPNs, peering, private link/PSC, CDNs), automation, and observability. The position is based in Toronto or Vancouver or fully remote anywhere in North America and includes participation in a 24/7 on-call rotation. Minimum stated experience: 10+ years working on software and distributed systems with deep networking expertise.

Join MongoDB’s Fabric team to develop and maintain a reliable, globally connected multi-cloud network that ensures secure communication between services and from the public internet. Responsibilities include network architecture, service mesh, edge load balancing, collaborating with service teams, and participating in a 24/7 on-call rotation. The role requires 10+ years working on software and distributed systems with deep networking expertise (TCP/IP, IPv6, DNS, TLS/mTLS, BGP, tunnels, overlays, SDN) and familiarity with cloud networking primitives (VPCs, routing, VPNs, peering, private link).

Hands-on SRE role leading design and implementation of cloud security solutions across AWS, Azure, and GCP, building automation, monitoring, and security tooling (CSPM, IAM, runtime security). Requires 6+ years of SRE or infrastructure engineering experience with a strong security focus and experience with IaC (Terraform/CloudFormation), programming (Golang or similar), Linux, and networking. Role can be based in Austin, New York City, San Francisco, Seattle (hybrid) or fully remote within Eastern or Central time zones.

Join MongoDB's Infrastructure Security team (within SRE) to design and implement scalable security primitives and services protecting compute, networking, and identity across AWS, Azure, and GCP. Work includes Linux security mechanisms, Kubernetes and eBPF-based runtime policies, CSPM and vulnerability management tooling, CI/CD and Terraform integration, monitoring/logging pipelines, and leading end-to-end projects. Role expects 5+ years experience and proficiency in one or more languages (Java, Go, Rust, Python, C/C++).

Work on the Fleet Management team within Platform Engineering to build and maintain a scalable, secure Kubernetes runtime and associated components (CoreDNS, cert-manager, Gatekeeper, service mesh). Provide internal support to engineering teams, participate in a 24/7 on-call rotation, lead blameless post-mortems and systemic fixes, and help migrate from Terraform-based IaC to an operator-driven lifecycle. Locations include multiple US offices and Dublin; U.S. base salary range provided.