{"id":467329,"url":"https://alion.io/job/tetrascience-principal-platform-architect","title":"Principal Platform Architect","company":{"id":179669,"name":"TetraScience","domain":"tetrascience.com","url":"https://alion.io/company/tetrascience","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"A","score":85,"open_postings":5,"ghost_share":0,"stale_share":0.6,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-26T05:57:25Z"}},"role":"Backend","role_family":"Backend","seniority":"lead","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Cambridge, United States","San Mateo, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":200000,"max":270000,"currency":"USD","period":"year","gross":null,"usd_annual":270000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon ECS","optional":false},{"name":"Apache Iceberg","optional":false},{"name":"AWS","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"IAM","optional":false},{"name":"Kubernetes","optional":false},{"name":"SLI/SLO/SLA","optional":false},{"name":"SQL","optional":false},{"name":"LIMS","optional":true}],"status":"live","first_seen_at":"2026-07-15T00:00:00Z","employer_posted_date":"2026-07-15","last_verified_at":"2026-10-26T20:04:48Z","board_verified":true,"closed_at":null,"days_open":104,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":103},"description":"The role\nTetraScience is building TetraOS - the category defining Scientific OS for biopharma. The Tetra Platform is the foundation for developing, delivering and operating our enterprise grade, secure, compliant Scientific Data and AI capabilities customers build upon. After achieving strong product-market fit and traction, TetraScience is entering a growth scaling phase where we are expanding our industry partnerships and developer experience to rapidly build the foundations of AI-native scientific data and workflows in production.\nIn this role, you will own the Tetra Platform architecture, its evolution, and the partner integrations that extend it. This is an IC leadership role. You will define the platform architecture aligned with the product and business strategy. You will inform roadmap alignment decisions and trade-offs.\nThe scope of this role is intentionally broad. We are looking for experienced candidates who have gone deep in two to three technology domains to gain breadth and depth of architectural, execution and operational experience. Your experience spans startups and large companies, so you understand the trade-offs at different stages and scales. Strong candidates will have deep, diverse experience with operational excellence and agility in building in a dynamic business context.\nThe Tetra Platform spans the following diverse technology domains:\nEnterprise Data & Agentic AI Platform: Multi-tenant cloud architecture, Durable workflows, AWS, Databricks, RBAC/ABAC, IAM, observability and infrastructure chargebacks.\nData, Knowledge, and Developer Products: Search, Semantic layer foundations, knowledge and ontology layers and products, external developer platforms.\nWhat you’ll own:\nEnterprise Platform: Tenancy, IAM, Compliance and control plane that enterprise customers use to govern their scientific data environment: SSO/SAML/OIDC, fine-grained RBAC / ABAC for SQL access.\nScientific Search: Search architecture spanning keyword, semantic, and hybrid retrieval across scientific data, instruments, and metadata: relevance standards, indexing pipeline, and the infrastructure that makes search a reliable product surface.\nAI / ML Ops: Model lifecycle, inference and training on platform, Agentic IAM and DX, telemetry, observability and frameworks that keep scientific AI outputs traceable and operable under production load.\nDeveloper Platform: External builder platform, low and high code scientific solution development experiences, golden path tooling for partner integrations, SDKs and adoption metrics.\nDeveloper Productivity: Developer throughput as a first-class metric: toolchain ownership, local/prod environment parity, and friction reduction from commit to deployment.\nAcceleration and adoption of Tetra’s Scientific Use Case Library: Data Products and Workflows Platform, IDS design standards and evolution, and the data access layer that AI workloads and downstream pipelines depend on.\nPartner Integrations: Integration architecture for lab instruments and AI model partners: reference patterns, security boundaries, and the developer experience that enables self-service onboarding.\nCloud Infrastructure: Production architecture, cost governance, and the observability layer from infra signal to customer-visible service health.\nWhat success looks like in year one\nTetra’s Authn/Authz architecture is streamlined and well integrated across data, compute and Agentic AI platform layers.\nAI/ML infrastructure has a clear architecture and roadmap for MLE inference and training use cases, with strong operational telemetry, cost visibility and governance.\nThe Developer Platform has streamlined experiences, SDKs and standard templates for scientific use cases to start from, with adoption and delivery by multiple scientific use case teams. A reusability architecture that enables compounding contributions from the ecosystem including Tetra, partner and customer builders.\nOperational excellence with a future-proof O11y architecture rolled out, with production services and AI / ML workloads having metrics and SLOs defined, monitored and managed.\nCost governance with customer chargeback attribution architecture and operationalized with the finance and field teams.\nData Products and Workflow Primitives platform architecture built out with strong DX and operational scaling.\nEvolve IDS to open standards based schema and encoding with strongly typed data models and schema-on-write enforcement.\nPublished reference architecture for each partner class (lab instruments and AI models), with one partner successfully onboarded against each without bespoke engineering support.\nRequirements\n12+ years in software engineering, with at least 5 at staff or principal level in a SaaS platform or data infrastructure context.\nDemonstrated architectural and execution leadership roles in multi-tenant cloud architecture and data intensive enterprise products at scale. You have been the person who got paged to production incidents, not just the person who designed it. You will bring earned expertise in at least two of the following:\nIdentity and authorization architecture at enterprise scale, SSO federation, fine-grained authz over data access.\nExperience with AI/ML serving infrastructure: you have built and operated model inference pipelines under production load.\nSearch architecture experience: you have designed and operated a search platform that handles diverse query types (keyword, semantic, or hybrid) across large structured or semi-structured datasets.\nHands-on experience with data lake, warehouse or lakehouse architectures at scale: Delta Lake or Apache Iceberg, schema evolution patterns, partition pruning, and the trade-offs between query performance and storage cost.\nInfrastructure fluency on AWS with Kubernetes or ECS. You can read a cost anomaly report, trace it to a root cause, and produce an action within the same week.\nAbility to write, review and defend architecture decisions: RFCs, ADRs, technical trade-offs and design reviews.\nStrong cross-team communication. You can write a document that produces alignment without a follow-up meeting to explain the document.\nComfort operating across strategy, architecture, and operations in the same week: setting a multi-year architecture direction and reviewing a runbook gap are both in scope.\nNice to have\nExperience in regulated industries (biopharma, medtech, financial services) where compliance, cost-to-serve and data residency are first-class architecture constraints built in from the start.\nFamiliarity with scientific data platforms, ELN/LIMS systems, or laboratory informatics ecosystems, including the structural constraints of instrument data.\nExperience designing and operating internal developer platforms as a product: roadmap, adoption metrics, deprecation strategy.\nExperience building partner integration programs at the architecture level: connector SDKs, reference implementations, integration certification criteria, and the developer experience that makes external parties self-sufficient.\nExposure to lab instrument ecosystems (proprietary data formats, on-prem agent deployment, vendor certification workflows) or analogous hardware-adjacent integration work in medtech or industrial IoT.\nPrior experience as a founding or early platform architect at a Series B-D SaaS company scaling to enterprise.\nBenefits\nCompetitive compensation with equity\nUnlimited PTO\nCompany-paid Medical, Dental, Vision Insurance\nLTD/STD\n401(k)\nThe salary range for this position is $200K-$270K USD. The salary range posted reflects our target baseline for this role. Final compensation is determined by a thorough evaluation of factors including the candidate’s specific experience, localized market data, and internal team equity.","description_format":"text","description_chars":7768,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity","Unlimited PTO","Vision insurance"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Scientific & Lab Software"],"lifecycle":[{"event":"open","at":"2026-09-06T12:22:22Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 1","filings_12m":1,"filings_prev_12m":1,"green_card_filings_12m":0,"median_offered_wage_usd":187500,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":1}],"liveness":{"score":11,"band":"cold","label":"Long shot","p_open":1,"p_active":0.38,"p_room":0.28,"age_days":103,"expected_fill_days":30,"reasons":["conf:0","velocity","win:tail","crowd:"],"computed_at":"2026-10-26T05:57:25Z"},"pay":{"stated_usd_annual":270000,"is_top_pay":true},"html_url":"https://alion.io/job/tetrascience-principal-platform-architect","json_url":"https://alion.io/job/tetrascience-principal-platform-architect.json","meta":{"generated_at":"2026-10-27T00:02:57Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":35,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-28T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":179669},"rest":"https://alion.io/mcp/rest/get_company?id=179669"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Ftetrascience-principal-platform-architect"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Ftetrascience-principal-platform-architect"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Ftetrascience-principal-platform-architect"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/tetrascience-principal-platform-architect\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ftetrascience-principal-platform-architect"}]}