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Staff Platform Engineer
Abridge · San Francisco, United States
About The Role
Join Abridge, a rapidly growing startup in the AI-first, cloud-native, security-first space. As a Staff Platform Engineer, you will play a crucial role in scaling our cloud infrastructure, developer platform, and operational maturity. You will work on platform architecture, developer enablement, infrastructure reliability, and ongoing support of existing tooling and software. This role is primarily focused on infrastructure, with some application software responsibilities. You will have the opportunity to shape the future of our platform and make a significant impact on the organization.
- Conception, construction and evolution of cloud infrastructure platforms, including networking, IAM, Kubernetes, databases, streaming and pubsub platforms, storage, distribution, observability, and more.
- Leadership in the architecture and operational evolution of multi-tenant, multi-region, and multi-cloud infrastructure with strong reliability, scalability, and security boundaries.
- Design and implementation of build pipelines, branching strategies, release management tooling, and self-service platform workflows that will serve an engineering organization that is rapidly growing in both size and operational complexity.
- Deep understanding of Kubernetes platform architecture and operations, including workload isolation, autoscaling, networking, service mesh management, ingress patterns, observability, upgrades, and multi-tenant cluster design
- Experience designing secure-by-default infrastructure including least-privilege access controls, workload identity, network segmentation, secret management, auditability, and compliance-oriented platform controls
- Up-to-date on industry best practices and tools, and enjoy learning new things
- Experience building scalable infrastructure-as-code platforms using Terraform and related tooling, including modular architectures, remote state management, policy enforcement, deployment orchestration, and reusable infrastructure patterns
- Experience with backend languages (e.g. Python, GoLang, Node, Rust)
- Experience designing and maintaining CI/CD systems for both infrastructure-as-code deployments and application delivery workflows. (Terragrunt, Atlas, ArgoCD, Octopus Deploy, Travis CI, etc.)
- Demonstrates strong curiosity and a proactive interest in AI, actively exploring and applying emerging technologies
- Excited about being hands-on while also driving platform direction, architecture decisions, and operational maturity in a fast-moving and supportive environment
- Strong operational instincts and experience debugging complex distributed systems, leading incident response efforts, and improving reliability through automation and observability
- Experience designing and operating large-scale Kubernetes platforms and scaling compute services on Kubernetes; experience with related cloud-native technologies including ArgoCD, Argo Rollouts, Istio, etc
- Willing to pitch in wherever needed — as a fast-moving startup we need to do good work, quickly
- Experience balancing developer experience, platform governance, operational reliability, and organizational scalability in fast-growing engineering environments
- 10+ years of software and infrastructure engineering experience, including significant experience operating infrastructure-as-code platforms in cloud-first organizations
- Comfortable implementing and securing services in Google Cloud Platform as infrastructure-as-code, including GCP Projects, VPC Networks, Google Kubernetes Engine, IAM Roles, Groups, policies, and secure networking patterns
- Experience with monitoring and observability tooling and practices (metrics, logs, traces) and their management at scale. Experience with major observability platforms such as Grafana, Datadog, Honeycomb, etc
- We value people who want to learn new things, and we know that great team members might not perfectly match a job description. If you’re interested in the role but aren’t sure whether or not you’re a good fit, we’d still like to hear from you
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