Senior Staff Software Engineer, Platform

This is a fully remote position, open to applicants in United States.

📋 Description

• Take charge of the platform's technical debt roadmap, overseeing prioritization, sequencing, design, delivery, and measurable results.

• Guide the unification of various platform generations into a single, cohesive platform by utilizing incremental, low-risk migration strategies like the strangler fig pattern.

• Develop and maintain an AI-native engineering workflow that incorporates AI coding agents, a multi-agent orchestration harness, and a code-intelligence platform.

• Create agent context that includes architectural context, skill sets, runbooks, architecture decision records, and implementation or remediation ledgers.

• Set up guardrails and human-in-the-loop review checkpoints to ensure safe agentic modifications within a regulated environment.

• Influence architectural decisions across the GCP platform, which encompasses Cloud Run, Pub/Sub, Cloud SQL, Redis, BigQuery, and the API gateway.

• Design systems for scalability, resilience, and cost efficiency, particularly under bursty, campaign-driven, and real-time voice workloads.

• Author and evaluate technical designs and architecture decision records.

• Define and enhance SLOs, observability, and alerting for member-facing workflows.

• Strengthen the platform to eliminate single points of failure.

• Enhance Terraform, CI/CD, migration safety, and rollback practices.

• Integrate security and privacy measures into the platform through least-privilege access, network hardening, secrets management, encryption, audit logging, and handling of PHI.

• Collaborate with security and compliance stakeholders on HIPAA, SOC 2, and HITRUST obligations.

• Establish standards for code quality, testing, API design, and documentation.

• Act as the technical lead for the platform team, mentoring engineers and promoting agentic engineering practices throughout the organization.

• Report directly to the VP of Engineering, Platform.

⛳️ Requirements

• A minimum of 10 years in software engineering, including several years in a Staff level or similar capacity.

• Proven experience in leading architecture and technical direction across multiple teams or services.

• Demonstrated ability to design, build, and operate scalable, reliable distributed systems and microservices in production environments.

• Strong grasp of consistency, idempotency, event-driven design, failure modes, back-pressure, and capacity planning.

• Hands-on production experience with Google Cloud, ideally including Cloud Run, Pub/Sub, Cloud SQL, IAM, VPC networking, and BigQuery.

• Extensive experience with AWS or Azure is acceptable if the ability to quickly adapt to GCP is evident.

• Proficiency in production-grade Python, including async services and APIs such as FastAPI, as well as testing and performance optimization.

• Openness to working with Go services.

• Practical experience delivering production software with AI coding agents like Claude Code or similar tools.

• Familiarity with context engineering, multi-agent orchestration, and reliable, reviewable, safe agent output.

• Experience developing software in healthcare or another regulated environment that involves handling PHI or PII.

• Basic understanding of HIPAA regulations.

• Proven track record with design reviews, testing strategies, CI/CD, observability, infrastructure-as-code, and thorough documentation.

• Comfort with ambiguity, a proactive approach, and full ownership in a fast-paced startup environment.

• Ability to articulate clear technical designs, discuss trade-offs, and lead and mentor engineers without formal authority.

• Go production experience is highly preferred.

• Experience with healthcare interoperability, including EHR integrations, Epic/Cerner, FHIR/HL7, and payer/provider ecosystems is preferred.

• Hands-on involvement in implementing SOC 2, HITRUST, or NIST-aligned controls is preferred.

• Experience leading large-scale re-architectures or platform migrations is preferred.

• Familiarity with Terraform, GitHub Actions, PostgreSQL, Redis, MongoDB, dbt, and BigQuery is preferred.

🏝️ Benefits

• Remote work flexibility.

• Preference for candidates working in EST or CST time zones.

• Opportunities for advancement into a Principal Software Engineer or Software Architect position.