Staff Systems Software Engineer
- Market p25–p75
- $186k–$255k
- Opened · 30d
- +0
- Closed · 30d
- −0
- Opened · 7d
- +4305% of open
- All software engineering
- 74,990open
Staff Systems Software Engineer
Remote US & Canada
About this role
Most engineering roles at Thatgamecompany ship features to players. This one ships velocity and quality to engineers. Cloud, Gameplay Backend, and Cross-Platform Backend build the services and features the game runs on; you build the systems that prove that work is correct, fast, and ready — before it reaches players. You will build the systems that prove the gameplay feature works — at scale, on every device, on every commit — and the infrastructure that lets a hundred engineers find that out in minutes instead of days. If it runs in production, another team owns it. If it exists to test, measure, or accelerate what those teams build — test harnesses, load/chaos infrastructure, device labs, build/GPU clusters — you own it. Your output is the studio's velocity and the game's quality floor.
On any given day, you might:
Prove correctness and quality before players find the bugs
Build and own the studio's functional test automation framework — runner, fixtures, game-state harness, reporting — plus coverage instrumentation that makes untested systems visible
Build regression analysis tooling that separates real regressions from noise and attributes them to a commit automatically
Improve test suite speed/trust via flake detection, quarantine, parallel sharding, deterministic replay
Find the breaking point on purpose
Design load/stress testing systems modeling realistic player behavior, capable of driving launch-scale synthetic traffic against pre-production
Build chaos testing capability — fault injection, latency/partition simulation, dependency failure — run safely against real infrastructure
Run disaster recovery exercises, measure actual RTO/RPO vs. stated targets, and turn findings into permanent regression tests
Prove quality on real devices
Build app quality testing automation — frame time, memory, thermal, battery, cold-start captured automatically and gated in CI
Own the device compatibility lab, orchestration, and certification matrix so device support is verified every commit, not the week before ship
Own the infrastructure engineers build on
Build/operate on-prem build clusters (distributed compilation, caching, artifacts) and on-prem GPU clusters (scheduling, multi-tenancy, utilization), backing buy-vs-build with real data
Design cross-platform developer tools — including AI-assisted tooling (agents, skills, MCP servers) — that reduce toil across Cloud, Backend, and Client Engineering
Make it land
Define, instrument, and publish developer velocity/quality metrics (build time, test cycle time, flake rate, escaped defect rate, MTTR) and use them to prioritize your roadmap
Drive adoption across teams that don't report to you
Mentor engineers in testing strategy, performance analysis, systems thinking
Raise the bar through code review, documentation, reducing bus factor
We expect you to
Be a passionate gamer who puts players first
Treat developer experience as a product — users, adoption curves, a quality bar — not internal plumbing
Operate at Staff level: set technical direction studio-wide, influence without authority
Be relentless about systems that prevent problems, not just report them
Embrace experimentation for ambiguous, complex problems
Communicate trade-offs clearly across distributed teams
Required Skills
Languages: Python, Golang, C/C++, Jenkins Groovy; Linux shell scripting; fluent English
Testing & Quality Systems: Test framework design; load/stress tooling (k6, Locust, Gatling, JMeter); fault injection/chaos engineering; coverage instrumentation; flake detection
Performance & Analysis: CPU/GPU/memory/I/O profiling; statistical analysis of noisy benchmarks; regression detection and commit attribution; observability
Build & CI at Scale: Jenkins/GitLab CI/CD; Make/CMake; GCC/Clang; distributed build systems/caching; Git/GitLab and Perforce (large-binary workflows)
Infrastructure: Linux/macOS administration; bare-metal/on-prem cluster ops; Docker/Podman; Kubernetes; Terraform/OpenTofu; hardware capacity planning