Software Development Engineer in Test
About the job
- At least 3 years of experience in a Test Engineering, DevOps, or QA role with a strong technical background.
- Strong Python skills and the ability to read and debug Go.
- Expertise in building automated test scripts and frameworks from scratch.
- Experience with CI/CD tools such as GitHub Actions, Jenkins, or GitLab CI, and testing frameworks such as pytest and Playwright.
- Experience with public cloud infrastructure such as GCP, AWS, or Azure.
- Familiarity with release management and deployment processes, including versioning, release candidates, and rollout verification.
- Working knowledge of Linux, containerization, and orchestration, including Docker, Kubernetes, and Helm.
- Strong debugging, problem-solving, and communication skills.
- A self-motivated, adaptable approach and willingness to take ownership.
- Design, build, and maintain integration, regression, and end-to-end tests for distributed systems running on Kubernetes, Slurm, and bare-metal GPU/CPU clusters.
- Extend the in-house end-to-end test automation framework and share ownership of the CI/CD testing infrastructure and pipeline.
- Build and run performance and scale benchmarks, and catch regressions before release.
- Automate cluster lifecycle and environment management across cloud and bare-metal environments.
- Ensure code releases meet quality standards before shipping to customers.
- Collaborate with engineers to identify test coverage gaps and build tools or frameworks to address them.
- Investigate and diagnose build failures, flaky tests, and regressions.
- Contribute to engineering work beyond QA when appropriate, including feature development and tooling.
- Experience with AI/ML infrastructure, including GPUs, RDMA/RoCE or InfiniBand, NCCL, DCGM, and PyTorch training jobs.
- Experience with workload managers and schedulers such as Slurm and Kubeflow/PyTorchJob.
- Experience with build systems at scale such as Bazel and infrastructure-as-code such as Terraform.
- Experience with chaos or fault-injection testing of distributed systems.
About the company
Clockwork Systems provides clock synchronization technology for mission-critical distributed systems, ensuring precise timing across operations. Its solutions run in both cloud and on-premises environments and are delivered through software licensing, subscriptions, and professional services. The company differentiates itself with deep timing expertise and end-to-end timing across networks, framed by tools like Latency Sensei for cloud latency monitoring. Its goal is to help customers achieve reliable, accurate synchronization to boost performance and reduce timing-related issues in time-sensitive applications.
Company Size
51-200
Company Stage
Late Stage VC
Total Funding
$72.6M
Headquarters
Palo Alto, California
Founded
2018
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Simplify's Take
What believers are saying
- Clockwork launched FleetIQ on 2025-09-10, expanding from timing into AI infrastructure optimization.
- The company says FleetIQ reduces crashes, restarts, and idle GPU waste immediately.
- Forge Global listed a $357M Series A-1 valuation on 2025-09-10, signaling investor support.
What critics are saying
- Dynatrace, Datadog, and SolarWinds Observability attack adjacent monitoring budgets aggressively.
- Latka shows only 41 employees and $4.5M revenue, limiting enterprise sales capacity.
- FleetIQ targets AI infrastructure already dominated by NVIDIA networking partnerships and hyperscaler control.
What makes Clockwork Systems unique
- FleetIQ unifies nanosecond visibility, traffic control, and job-aware resilience across fabrics.
- ClockSync aligns hosts, NICs, and switches to sub-microsecond timelines for correlated telemetry.
- Runs across cloud and on-prem, supporting NVIDIA, AMD, InfiniBand, RoCE, and Ethernet.
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Benefits
- Competitive Salary