Lead Software Platform Engineer

The Role

As a Lead Platform Engineer, you will architect and evolve the shared Platform Core services that every other engineering team builds on designed to absorb 100× growth in data volume and users. You'll own the hard cross-cutting primitives authorization, metadata, governance, and high-throughput event processing and act as the technical design authority / SME across product and engineering.

This is a highly impactful seat for an engineer who has built authorization and governance systems as products (not just consumed them), understands the trade-offs of large-scale distributed design, and thrives on turning ambitious scalability goals into concrete technical strategy.

If you're excited by the challenge of architecting cloud-native platform to power massive growth and thrive on solving complex scalability problems, we'd love to hear from you.

What You Will Do

• Arcitect and evolve our cloud-native platform and services to support high-throughput, low-latency data processing patterns, customer-facing features, and design platform to meet scalability requirements
• Design scalable, distributed systems powering complex capabilities such as authentication & authorization, data lifecycle management, metadata management, operational intelligence, and real-time event processing
• Evolve the authorization service toward modern identity standards and customer-configurable, fine-grained access models that scale without a release for every new role including authorization for non-human identities (service-to-service, AI agents, MCP-based tooling)
• Built systems that capture and enforce structured metadata at ingest and serve it through clean service contracts; understands where platform metadata plumbing ends and the semantic/ontology layer begins, and collaborates well across that boundary
• Evolve governance primitives for a regulated environment — compliance-grade audit trail, dataset-level access controls, and approval / eSignature workflows
• Collaborate with engineering and product teams to deliver infrastructure that supports new services, customer-facing applications, and high-volume data processing workloads
• Build and maintain infrastructure-as-code (e.g., CloudFormation, AWS CDK) to automate, standardize, and secure deployments to support online upgrades and on-demand infrastructure allocation
• Enhance observability and monitoring to ensure reliability, cost efficiency, and rapid incident response
• Champion best practices in distributed systems design, scalability, and performance optimization, and share architectural insights through design reviews and technical documentation.

Requirements

• 10+ years of hands-on software engineering, with a proven track record of designing, building, and scaling distributed, cloud-native backend services and platforms in production
• Demonstrated experience as a technical leader or architect, making key decisions on system design, scalability, performance, and cost optimization
• Proven experience designing and owning fine-grained, policy-driven authorization as a service other teams build against, including role-, attribute-, and relationship-based models, where access rules are externalized from application code and managed as configuration rather than requiring a code release for every new role or policy
• Deep, hands-on experience building authentication systems from the ground up, with modern identity standards (OAuth 2.0, OIDC, JWT/JWKS, SAML) and full token lifecycle, including non-interactive flows such as client credentials and token exchange for service-to-service and workload identity. Not just integrating an off-the-shelf provider; candidates whose identity experience is limited to wiring up Okta/Auth0/Cognito will not be a fit
• Strong proficiency in API-first design, including REST, GraphQL, and OpenAPI specifications designing APIs that are scalable, secure, versioned, and extensible
• Expertise in AWS cloud services and architecture, including deep experience with core services (e.g., EC2, Lambda, ECS/EKS, IAM, S3) and advanced data and messaging tools such as SQS, Kinesis, Kafka, and EventBridge
• Expertise in TypeScript and Python, with a focus on building highly performant backend services
• Solid understanding of observability best practices, including monitoring, alerting, and distributed tracing for SLI/SLO/SLA design
• Ability to articulate ideas clearly, present findings persuasively, and build rapport with clients and team members. Strong collaboration skills and the ability to partner effectively with cross-functional teams

Benefits

• 100% employer-paid benefits for all eligible employees and immediate family members
• Unlimited paid time off (PTO)
• Flexible working arrangements - Remote work
• Company paid Life Insurance, LTD/STDA
• Company culture of continuous improvement where you can grow your career and get coaching