Senior Software Engineer, Platform

SnapLogic

United States

Hybrid

USD 160,000 - 180,000

Full time

14 days+

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Benefits offered by this job

Comprehensive benefits package
Annual cash bonuses or commissions

Job summary

SnapLogic is seeking a Senior Software Engineer to join the Platform team in San Mateo, CA. This hybrid position requires working in the office two days a week. Responsibilities include designing and operating backend systems, ensuring platform reliability, and code quality.

The ideal candidate has over 5 years of experience, strong programming skills in Java or Python, and database management expertise. Competitive salary ranges from $160,000 to $180,000 annually, complemented by a comprehensive benefits package.

Qualifications

  • 5+ years building and operating production backend systems.
  • Experience operating distributed systems in production—debugging and profiling.
  • Strong programming languages preferably in Java or Python.

Responsibilities

  • Design, build, and operate SnapLogic's control plane.
  • Take ownership from design through rollout and monitoring.
  • Investigate and resolve production issues.

Skills

Programming fundamentals
Backend system operation
Database management
Communication skills

Education

B.S. in Computer Science or equivalent

Tools

MongoDB
AWS

Job description

Senior Software Engineer – Platform Team

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.

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
What We're Looking For:
  • 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
Preferred Experience:
  • Hands‑on experience operating MongoDB (or another NoSQL database) at scale — sharding, replica sets, query profiling, index tuning
  • Experience with cloud infrastructure (AWS preferred), containers, and CI/CD
  • Familiarity with observability tooling (metrics, tracing, structured logs) and SRE practices
Salary

$160,000 - $180,000 a year. The above range is the approximate annual U.S. base pay range for this position. Final offer amounts are determined by multiple factors, including candidate location, experience and expertise, and may vary from the range listed. In addition to base salaries, certain roles are also eligible for annual cash bonuses or commissions. All of our full time employees receive a comprehensive benefits package.

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