Lead Platform Engineer

Company: TetraScience
Location: Remote

Who We Are

TetraScience is the Scientific Data and AI Cloud company, catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets. We bring these to life in next-gen lab data management solutions, scientific use cases, and AI-enabled outcomes. TetraScience is the category leader, generating more revenue than all competitors combined. Major players in compute, cloud, data, and AI infrastructure have partnered with TetraScience as the de facto standard.

The Role

As a Lead Platform Engineer, you will architect and evolve the shared Platform Core services that all other engineering teams build upon, designed to absorb 100x growth in data volume and users. You’ll own critical cross-cutting primitives such as authorization, metadata, governance, and high-throughput event processing. You will act as the technical design authority and SME across product and engineering. This is a highly impactful role for an engineer who has built authorization and governance systems as products, understands large-scale distributed design trade-offs, and thrives on turning ambitious scalability goals into concrete technical strategy. If you are excited by architecting cloud-native platforms for massive growth and solving complex scalability problems, we’d love to hear from you.

What You Will Do

• Architect and evolve our cloud-native platform and services to support high-throughput, low-latency data processing, customer-facing features, and demanding scalability requirements.
• Design scalable, distributed systems powering complex capabilities like authentication & authorization, data lifecycle management, metadata management, operational intelligence, and real-time event processing.
• Evolve the authorization service towards modern identity standards and customer-configurable, fine-grained access models that scale without individual release cycles, including authorization for non-human identities.
• Build systems that capture and enforce structured metadata at ingest and serve it through clean service contracts, understanding the boundary between platform metadata and the semantic/ontology layer.
• Build governance primitives for regulated environments, including compliance-grade audit trails, dataset-level access controls, and approval/eSignature workflows.
• Collaborate with engineering and product teams to deliver infrastructure supporting 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, supporting 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, sharing architectural insights through design reviews and technical documentation.

Requirements

• 10+ years of hands-on software engineering experience, 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.
• Strong proficiency in API-first design (REST, GraphQL, OpenAPI specifications) for scalable, secure, versioned, and extensible APIs.
• Strong proficiency in TypeScript and Python, focused on building highly performant backend services.
• Expertise in AWS cloud services and architecture, including core services (EC2, Lambda, ECS/EKS, IAM, S3) and advanced data/messaging tools (SQS, Kinesis, Kafka, EventBridge).
• Expert knowledge of infrastructure-as-code frameworks (CloudFormation, CDK), CI/CD pipelines, and production deployment strategies.
• Solid understanding of observability best practices (monitoring, alerting, 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 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).
• 401K.
• Flexible working arrangements - Remote work.
• Company-paid Life Insurance, LTD/STD.
• A culture of continuous improvement with career growth and coaching opportunities.