Quilter · 2 months ago
Platform Engineer (Senior, Staff, or Principal level)
Quilter is a company focused on automating the design of printed circuit boards to help electrical engineers. They are seeking a Senior, Staff, or Principal-level Platform Engineer to join their Platform team, where the role involves building developer-facing tools and enhancing CI/CD pipelines to improve engineering efficiency.
Artificial Intelligence (AI)ElectronicsSoftware
Responsibilities
Build developer-facing tooling, SDKs, and wrappers that abstract away Kubernetes, workflow, and infra details so engineers can compose and run secure cloud processes without becoming infra experts
Design and harden CI/CD pipelines with faster feedback, per-MR preview environments, and reduced flakiness
Deliver dashboards and shared observability: cost, reliability, performance — consumable by engineers and leadership
Partner with engineering teams to codify repeatable workflow patterns into libraries and templates
Play a central role in rebuilding our workflow orchestration platform, helping design core primitives and abstractions that power Quilterʼs AI workloads
Build language-native wrappers and tooling around workflow features, making advanced orchestration accessible as simple SDK calls
Implement secure by default systems: secrets management, auditability, least-privilege defaults, and bastions
Help define and enforce SRE practices — incident response, playbooks, SLIs/SLOs, backup/restore automation
Shape the foundation of the Platform team itself: standards, processes, and culture that emphasize self-service systems over tickets
Qualification
Required
Strong software engineering background — you're comfortable writing production-quality Python (and ideally Typescript/Go) code, not just YAML or scripts
Experience building developer productivity tooling (SDKs, CLI tools, CI/CD pipelines, internal dashboards, preview envs)
Practical Kubernetes fluency — able to design and debug workloads, tune autoscaling and apply common patterns without needing to be a deep internals expert
Hands-on with Kubernetes + workflow platforms – Argo Workflows, Airflow, Prefect, Temporal, etc
Proficient with infrastructure-as-code and containerization — able to design and maintain Docker-based services and manage infrastructure with modern IaC tools (Terraform preferred)
Solid grounding in cloud infrastructure (AWS preferred) — compute, storage, networking, IAM, cost controls
Familiarity with observability stacks, such as Prometheus, Grafana, OpenCost, Loki/Tempo/OTel
Comfort operating in high-scale, compute-intensive environments (e.g. ML training, batch/parallel workloads)
Bias toward building paved roads and abstractions that make other engineers faster
Preferred
Prior experience in a Platform or DevProd team at a startup
Background in ML Ops foundations — training pipelines, model artifact management, GPU workloads
Familiarity with on-prem or hybrid deployment patterns (networking, packaging, observability bundles)
Knowledge of compliance frameworks (SOC 2, ISO27001, ITAR, GDPR) and how they affect infra decisions
Exposure to multi-tenant SaaS or Bring Your Own Cloud architectures
Contributions to open-source infra/dev-tooling projects
Benefits
Health, dental, and vision insurance
Regular team events and offsites (~2x / year)
Unlimited paid time off
Paid parental leave
Company
Quilter
Quilter develops physics-based autonomous AI software for printed circuit board (PCB) design aimed at accelerating hardware development.
H1B Sponsorship
Quilter has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (1)
Funding
Current Stage
Growth StageTotal Funding
$35MKey Investors
Index VenturesBenchmark
2025-10-08Series B· $25M
2024-02-13Series A· $10M
Recent News
2025-12-10
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2025-11-15
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