About the role
About SnapLogic SnapLogic is the Agentic Integration Company, integrating AI, data, applications, and microservices into one powerful platform that transforms how enterprises connect, automate, and scale. Unlike legacy integration tools, SnapLogic is built for the AI era and trusted by global leaders, including AstraZeneca, Adobe, Verizon, Epsilon and Sony. With its industry-leading platform, SnapLogic empowers every team across the enterprise to securely build faster, smarter, AI-connected workflows – all through natural language and intuitive low-code design. Join the Agentic Integration movement at snaplogic.com .
The Role: We're looking for a self-motivated Senior Software Engineer to join the Platform team that powers all of SnapLogic's services. You'll work across the stack to make our platform resilient, performant, and able to scale with our enterprise customers — from the services that run customer pipelines, to the data layer that backs them, to the operational tooling that keeps it healthy in production. This is a generalist role. You'll go deep where the work demands it, but we expect every Platform engineer to build end-to-end understanding of the systems we operate. SnapLogic operates ~50 MongoDB clusters across production and test environments, with 60TB+ of data, so engineers comfortable with query profiling, index tuning, and hands-on database work will find plenty to own — but database work is one area among many, not a separate track. You take a deep sense of ownership, accountability, and pride in what you ship. You're proficient in at least one language and willing to learn whatever the problem requires. This is a hybrid role based at our HQ in San Mateo, CA with the requirement to work in the office two days per week. \n
What You'll Do: Design, build, and operate services and infrastructure that make up SnapLogic's control plane Take end-to-end ownership: from design through production rollout and monitoring Improve platform reliability, performance, and scalability — across services, data layer, and dependencies Investigate and resolve production issues, then turn the fix into a durable improvement (better tests, observability, automation, or design changes) Contribute to our data-layer work as needed: query and index tuning, schema/access pattern reviews, shard and cluster operations, capacity planning Partner with other Platform engineers, SRE, and application teams to keep us on our zero-downtime SLA Raise the bar on engineering quality — code review, design review, mentoring peers