Senior Platform Software Engineer, SnapLogic

• 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
• 5+ years building and operating production backend systems
• Strong programming fundamentals, ideally in Java or Python; comfort picking up new languages and stacks
• Experience operating distributed systems in production — debugging, profiling, capacity planning, incident response
• Track record of taking features from design to production and owning them after launch
• Solid grasp of databases (relational or NoSQL): query performance, indexing, schema design trade-offs
• Excellent design, code, and written communication skills
• B.S. in Computer Science, Computer Engineering, or equivalent practical experience

Desirable

• 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
• 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