Lead Software Platform Engineer

TetraScience

Lead Platform Engineer architecting and evolving a cloud-native platform for TetraScience. Focusing on high-throughput data processing and scalability in a remote-first environment.

Posted 6/5/2026full-timeRemote • California, Massachusetts • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies

AWSCloudDistributed SystemsEC2GraphQLKafkaPythonTypeScript

About the role

Key responsibilities & impact

Architect 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.
Build 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

What you’ll need

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.
Strong proficiency in API-first design, including REST, GraphQL, and OpenAPI specifications designing APIs that are scalable, secure, versioned, and extensible.
Strong proficiency in TypeScript and Python, with a focus on building highly performant backend services.
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.
Expert knowledge of infrastructure-as-code frameworks such as CloudFormation and CDK, CI/CD pipelines, and strong opinions on production deployment strategy across dozens of platforms.
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

Comp & perks

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 where you can grow your career and get coaching

ATS Keywords

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Hard Skills & Tools

cloud-native architecturedistributed systems designAPI-first designTypeScriptPythonAWS cloud servicesinfrastructure-as-codeobservability best practicesperformance optimizationdata processing

Soft Skills

technical leadershipcollaborationcommunicationpersuasionrapport building