Principal Platform Architect

What success looks like in year one

Requirements

• 12+ years in software engineering, with at least 5 at staff or principal level in a SaaS platform or data infrastructure context.
• Demonstrated 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:
• Identity and authorization architecture at enterprise scale, SSO federation, fine-grained authz over data access.
• Experience with AI/ML serving infrastructure: you have built and operated model inference pipelines under production load.
• Search 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.
• Hands-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.
• Infrastructure 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.
• Ability to write, review and defend architecture decisions: RFCs, ADRs, technical trade-offs and design reviews.
• Strong cross-team communication. You can write a document that produces alignment without a follow-up meeting to explain the document.
• Comfort 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.

Nice to have

• Experience 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.
• Familiarity with scientific data platforms, ELN/LIMS systems, or laboratory informatics ecosystems, including the structural constraints of instrument data.
• Experience designing and operating internal developer platforms as a product: roadmap, adoption metrics, deprecation strategy.
• Experience 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.
• Exposure 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.
• Prior experience as a founding or early platform architect at a Series B–D SaaS company scaling to enterprise.

Benefits

• Competitive compensation with equity
• Unlimited PTO
• Company-paid Medical, Dental, Vision Insurance
• LTD/STD
• 401(k)
• The 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.