VP, Software Engineering

Vice President, Software Engineering — Seven Bridges

Location: Remote. US preferred. India or EMEA candidates considered.
Reports to: Chief Technology Officer
Who are we?

Velsera is the precision engine company. We build the software researchers, scientists, and clinicians use to drive precision R&D and bring analytics closer to the point of care. Seven Bridges, Pierian, and UgenTec came together to form Velsera ; we are headquartered in Boston, MA, with [current headcount] colleagues across [current country count] countries.

The Seven Bridges Platform is our research genomics platform — roughly 130 containerized services, multi-cloud, running in commercial and FedRAMP Moderate environments, where scientists run CWL, WDL, and Nextflow workflows over petabyte-scale genomic data. Current priorities are federated data management, compliance as a product capability, and governed AI.
Reporting line and scope

You report to the CTO and own engineering for the Seven Bridges Platform: architecture, delivery, and production operations, including reliability, cost, technical debt, and observability. The team is primarily in India, with a smaller group in Serbia; you lead across both sites and work daily with stakeholders in other time zones. You hold architecture authority for the platform, co-own boundary decisions with security, federal compliance, and quality leadership, and partner with a cross-business AI Engineering team.

The role is roughly 40% hands-on technical work and 60% people leadership and organizational delivery. Hands-on means owning architecture decisions of record, leading design reviews, reviewing code and infrastructure changes, and prototyping where needed. You should be credible to your most senior engineers, with a clear view of what this class of platform should become and the ability to take a team and a business there.
What will you do?
- Own the technical vision for the platform over the next three years, and turn it into an architecture and roadmap the team and the business believe in.

- Own architecture decisions of record, design reviews, multi-tenant isolation, and complexity reduction across the service estate.

- Keep delivery governed and modern: infrastructure-as-code under CI with policy-as-code, short-lived credentials, progressive rollout, and change evidence that holds up to audit in a federally authorized environment.

- Own reliability: SLOs and error budgets on the paths customers depend on, on-call design that works across two sites, and turning repeat incidents into architectural change.

- Ship governed AI in the product and apply AI to how the team builds, both under a governance policy co-owned with Risk & Compliance, and both measured.

- Build the team: management depth you can trust with delivery, the specialist skills the roadmap needs, and maintaining a thriving team through a period of growth.

Requirements
What do you bring to the table?
Must have
- 12+ years in software engineering, including several years leading multi-team organizations through managers.

- Distributed-systems and platform architecture ownership at scale — multi-tenant isolation, service decomposition, and the judgment to reduce complexity.

- Domain depth in scientific or biomedical data platforms — genomics, bioinformatics, life sciences, or comparable data-intensive, workflow-driven scientific computing.

- Delivery inside a regulatory boundary such as FedRAMP, HIPAA, ISO 13485, or GxP.

- Reliability and modern delivery engineering: SLOs, error budgets, infrastructure-as-code, CI/CD with policy-as-code and progressive rollout.

- Production AI/LLM capability shipped under a compliance regime, or AI-assisted engineering you landed, governed and measured — beyond pilots.

- A track record of setting technical vision for a platform and carrying an organization there.

- Bachelor’s degree in a relevant field, or equivalent practical experience.

Nice to have