Quilter
Platform Engineer (Senior, Staff, or Principal level)
Quilter, Los Angeles, California, United States, 90079
Overview
Platform Engineer (Senior, Staff, or Principal level)
at Quilter. We are helping electrical engineers save time by automating PCB design. Our small team includes experts in electrical engineering, electromagnetic simulation, ML/AI, and HPC. We are building novel techniques to automate circuit board design, a space with significant spending. We have raised $10 million in Series A funding and are moving quickly toward our goal. We are united by a common vision and a core set of values: focus on the mission, build great things that help humans, demonstrate grit, never stop learning, and pursue excellence. 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 Quilter’s 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. What We’re Looking For
Strong software engineering background — 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 environments). Practical Kubernetes fluency — 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 — Docker-based services and 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. Nice to Have
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. What we offer
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 Blog.
#J-18808-Ljbffr
Platform Engineer (Senior, Staff, or Principal level)
at Quilter. We are helping electrical engineers save time by automating PCB design. Our small team includes experts in electrical engineering, electromagnetic simulation, ML/AI, and HPC. We are building novel techniques to automate circuit board design, a space with significant spending. We have raised $10 million in Series A funding and are moving quickly toward our goal. We are united by a common vision and a core set of values: focus on the mission, build great things that help humans, demonstrate grit, never stop learning, and pursue excellence. 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 Quilter’s 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. What We’re Looking For
Strong software engineering background — 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 environments). Practical Kubernetes fluency — 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 — Docker-based services and 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. Nice to Have
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. What we offer
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 Blog.
#J-18808-Ljbffr