Staff Platform Engineer

What You'll Do

• Design, build, and evolve cloud infrastructure platforms including networking, IAM, Kubernetes, databases, streaming and pubsub platforms, storage, distribution, observability, and more.
• Lead the architecture and operational evolution of multi-tenant, multi-region, and multi-cloud infrastructure with strong reliability, scalability, and security boundaries.
• Design and implement 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.
• Design, implement, and scale secure-by-default cloud infrastructure practices including CI and deployment scans, least privileged access controls, auditing, policy enforcement, and maintaining SoC2 and HIPAA compliance.
• Build reusable infrastructure abstractions, Terraform modules, golden paths, and developer platform capabilities that allow engineering teams to move quickly while maintaining operational consistency and governance.
• Help advocate for, design, implement, and adopt fast and scalable application testing pipelines including end-to-end UI tests, hyperscale load tests, resiliency testing, and progressive delivery patterns.
• Drive improvements in observability, operational readiness, incident response, SLO-driven reliability practices, and platform debuggability across the organization.
• Bridge the gap between local development and production environments in a way that is seamless for engineers and maximizes engineering velocity, reliability, and security while minimizing quality issues arising from environment drift and configuration tangles.
• Partner closely with engineering, security, and compliance teams to balance platform standardization with developer flexibility and evolving business requirements.
• Influence infrastructure cost and capacity strategy by balancing reliability, scalability, performance, and operational efficiency across cloud environments.
• Evangelize, document, mentor, and train the engineering team on the solutions being built and help uplevel the organization on cloud-native platform engineering strategies and operational excellence.
• Be a public evangelist for Abridge in the global platform engineering community, including conferences, open source, and research as we pioneer new AI-first, cloud-native-first, security-first implementations at scale.

Who You Are

• 10+ years of software and infrastructure engineering experience, including significant experience operating infrastructure-as-code platforms in cloud-first organizations.
• 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.
• 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 and maintaining CI/CD systems for both infrastructure-as-code deployments and application delivery workflows. (Terragrunt, Atlas, ArgoCD, Octopus Deploy, Travis CI, etc.)
• 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 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.
• 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 designing secure-by-default infrastructure including least-privilege access controls, workload identity, network segmentation, secret management, auditability, and compliance-oriented platform controls.
• Strong operational instincts and experience debugging complex distributed systems, leading incident response efforts, and improving reliability through automation and observability.
• Experience balancing developer experience, platform governance, operational reliability, and organizational scalability in fast-growing engineering environments.
• Experience with backend languages (e.g. Python, GoLang, Node, Rust).
• Up-to-date on industry best practices and tools, and enjoy learning new things.
• Excited about being hands-on while also driving platform direction, architecture decisions, and operational maturity in a fast-moving and supportive environment.
• Willing to pitch in wherever needed — as a fast-moving startup we need to do good work, quickly.
• Demonstrates strong curiosity and a proactive interest in AI, actively exploring and applying emerging technologies.

This role has a rotational on-call schedule.