Platform Engineer (Senior, Staff, or Principal level)

At Quilter, we are helping electrical engineers save time and accomplish more by automating the tedious and time-consuming task of designing printed circuit boards (PCBs). Our small team is composed of experts in electrical engineering, electromagnetic simulation, ML/AI, and high-performance computing (HPC). We are inventing and leveraging novel techniques to solve the decades-old problem of automating circuit board design where today hundreds of billions of dollars are spent. We have raised $25 million in Series B funding from some of the very best and are charging full-speed toward our goal.

No matter where we come from, we're united by a common vision for the future and a core set of values we think will get us there:

1. Focus on the mission

2. Build great things that help humans

3. Demonstrate grit

4. Never stop learning

5. Pursue excellence

We’re looking for a Senior, Staff, or Principal-level Platform Engineer to join Quilter’s Platform team. This team transforms infrastructure complexity into reliable, reusable building blocks, enabling teams to ship quickly and focus on product challenges. As one of our early engineers, you’ll have massive ownership and influence over the direction of our product, architecture, and team culture.

This role is ideal for someone who thrives in high-ownership environments, loves solving complex technical problems, and is passionate about creating seamless, empowering experiences for software engineers—removing friction, boosting velocity, and enabling teams to focus on building great products.

• Lead AWS cost optimization: set clear budgets, improve tagging and visibility, right-size and autoscale workloads, use lower-cost compute options where appropriate, reduce idle resources, and provide regular reports on savings and trends.

• 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.

• Demonstrated AWS cost reduction: visibility, budgets/alerts, standardized tagging, rightsizing, efficient compute, and measurable spend cuts.

• 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

• 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

Please note: We are an equal opportunity employer. At this time, we are focused on hiring primarily within the US, with occasional exception to accommodate exceptional talent.

• Interesting and challenging work

• Competitive salary and equity benefits

• Health, dental, and vision insurance

• Regular team events and offsites (~2x / year)

• Unlimited paid time off

• Paid parental leave

Want to learn more about Quilter, our vision, and our investors? Visit our About page and visit our Blog.