Lead Software Platform Engineer

🕒 il y a 2 mois

🏄 California, Massachusetts – Distant

🏄 California – Remote 🍂 Massachusetts – Remote

⏰ Temps Plein

🟠 Senior

🏗️ Ingénieur Plateforme

🦅 Parrain de Visa H1B

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TetraScience

Site WebLinkedInTous les Emplois

51 - 200 employés

Fondée en 2015

🏥 Santé

💼 Conseil

📦 Logistique

Healthcare • Consulting • Logistics

TetraScience est une entreprise dédiée à la transformation des données scientifiques brutes en ensembles de données natifs pour l'IA, destinés à des applications scientifiques avancées. En collaborant étroitement avec les principales entreprises biopharmaceutiques, TetraScience améliore la productivité, accélère les insights et assure l'intégrité des données tout au long de la chaîne de valeur scientifique. Leur plateforme propose des solutions pour la gestion des données de laboratoire de nouvelle génération, des résultats scientifiques pilotés par l'IA et la conformité avec les normes industrielles. En tant que première entreprise à fournir un cloud de données et d'IA conçu spécifiquement pour la science, TetraScience permet à ses clients de libérer, unifier et transformer leurs données, surmontant les silos de données traditionnels et boostant la productivité scientifique grâce à une infrastructure flexible, ouverte et collaborative.

Description

• 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.

🎯 Exigences

• 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.

🏖️ Avantages

• 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