Senior Platform Engineer

Pivotal Health•Los Angeles, CA

About The Position

About Pivotal Health Pivotal Health is the leading technology platform that helps healthcare providers get paid fairly in an increasingly complex reimbursement landscape. Today, many providers face persistent underpayment from health insurance companies, despite delivering high-quality care. While processes like IDR (Independent Dispute Resolution) were designed to promote fairness, they’re often administrative-heavy, time-consuming, and difficult to navigate without the right tools. Pivotal Health combines software, data, and service into a seamlessly integrated, AI-driven platform that simplifies these complex reimbursement workflows. We help providers efficiently dispute underpaid claims, reduce administrative burden, and recover the reimbursement they’re entitled to; without adding more work to already stretched teams. Our full-service IDR solution is just the starting point. We’re building solutions that enable providers to operate with clarity, control, and confidence across the reimbursement journey. About the Role We’re looking for a Senior Platform Engineer to help design, scale, and harden the foundation that powers Pivotal’s platform. This role is for engineers who enjoy thinking deeply about systems and can clearly articulate why a solution works, not just how to implement it. You’ll partner closely with engineering teams to evolve our cloud architecture, improve reliability and security, and ensure our platform scales as the business takes on more customers and more complexity. You’ll help evolve our cloud architecture to better support scale, isolation, and long-term growth. You’ll partner closely with engineering teams to design secure, reliable event-driven systems. And you’ll build automation that removes friction so developers can ship faster and more confidently. This is a high-impact role with meaningful ownership and influence over how our platform continues to mature.

Requirements

6+ years of experience in platform, infrastructure, or software engineering roles
Bachelor’s degree in Computer Science, Engineering, or a related field preferred; equivalent practical experience will be considered.
Strong software engineering foundation with solid coding skills; Python preferred.
Hands-on experience designing and operating cloud-native systems (GCP preferred)
Deep experience with Infrastructure as Code (Terraform)
Experience building and maintaining CI/CD pipelines (GitHub, GitHub Actions)
Strong understanding of containers, Docker, and cloud networking fundamentals, as well as orchestration platforms like Kubernetes
Experience with databases and data infrastructure
Familiarity with event-driven architectures (Kafka, Pub/Sub, Kinesis, or similar)
Comfortable discussing architectural trade-offs and system design decisions clearly and thoughtfully

Nice To Haves

Experience operating in startup or scaling environments
Prior SRE experience or helping teams mature toward SRE practices
Serverless or managed cloud architectures
Experience in regulated or security-sensitive environments
Building automation or AI-driven tooling to reduce operational toil
Previous experience in FinTech, HealthTech or highly regulated industries.

Responsibilities

Design and evolve platform architecture: Help shape the architecture of our platform by evaluating trade-offs, improving system design, and partnering with teams to build scalable, reliable infrastructure that supports long-term growth.
Build software that powers the platform: Develop tooling, services, and automation that improve developer productivity, reliability, and observability across the system.
Own infrastructure as code and automation: Expand and harden our Terraform coverage, ensuring critical resources are versioned, auditable, and safely provisioned across environments.
Design scalable, reliable system interactions: Contribute to the design of system interactions and data flows, making thoughtful architectural decisions that balance scalability, reliability, and performance as the platform evolves.
Improve reliability and operational signal: Build and evolve monitoring, alerting, dashboards, and testing pipelines that surface meaningful signal rather than noise.
Secure the platform and toolchain: Partner on securing CI/CD pipelines, access controls, networking, and data flows while supporting compliance efforts as we grow.
Reduce toil and improve leverage: Identify repetitive or high-friction work and eliminate it through automation, better abstractions, or new tooling, including leveraging AI where it meaningfully helps.
Partner with engineering teams: Operate as a partner to feature teams, helping unblock delivery, improve systems, and ensure platform decisions reflect real-world needs.