VP, Software Engineering

🔥 1 hour ago

🌐 United States, India – Remote

🇺🇸 United States – Remote 🇮🇳 India – Remote

⏰ Full Time

🔴 Lead

🧑‍💻 Full-stack Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Velsera

WebsiteLinkedInAll Job Openings

501 - 1000 employees

🏥 Healthcare

💼 Consulting

⚕️ Healthcare Insurance

Healthcare • Consulting • Healthcare Insurance

Velsera is a leading provider of omics analytics solutions, powering precision medicine and enhancing the healthcare and life sciences ecosystem through data and actionable insights. With advanced genomics interpretation platforms, Velsera modernizes patient care by generating clinically actionable reports and integrating workflows on next-generation sequencing (NGS) test menus. Their AI-driven analysis and automation tools accelerate lab delivery of 'omics results, optimize workflow automation, and ensure compliance. Velsera's technology manages the flow of patient samples and applies machine learning to produce accurate and clinically relevant results. The company collaborates with research teams to provide expert insights and supports top pharmaceutical companies and clinical labs globally.

📋 Description

• Report to the Chief Technology Officer • Own engineering for the Seven Bridges Platform, including architecture, delivery, and production operations • Own platform reliability, cost, technical debt, and observability • Lead engineering teams primarily in India and in Serbia across multiple sites and time zones • Hold architecture authority for the platform and co-own boundary decisions with security, federal compliance, and quality leadership • Partner with a cross-business AI Engineering team • Spend approximately 40% of time on hands-on technical work and 60% on people leadership and organizational delivery • Own the technical vision for the platform over the next three years • Translate the technical vision into an architecture and roadmap • Own architecture decisions of record, design reviews, multi-tenant isolation, and complexity reduction • Govern infrastructure-as-code under CI with policy-as-code, short-lived credentials, progressive rollout, and audit-ready change evidence • Own SLOs, error budgets, cross-site on-call design, and architectural improvements arising from repeat incidents • Ship governed AI in the product and apply governed, measured AI-assisted engineering • Build management depth, specialist capabilities, and a thriving team during growth

🎯 Requirements

• 12+ years in software engineering, including several years leading multi-team organizations through managers • Distributed-systems and platform architecture ownership at scale, including multi-tenant isolation and service decomposition • Domain depth in scientific or biomedical data platforms, such as 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 landed, governed and measured beyond pilots • 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 • CWL/WDL/Nextflow, GA4GH standards (DRS/WES), FHIR or OMOP • Federated or cross-institutional data access at scale • Federal program delivery and artifact literacy, including authorization packages, significant-change requests, and corrective-action plans • Architecture depth in inference topology, including hosting trade-offs, retrieval with per-tenant authorization, evaluation harnesses, and guardrails • Experience shipping reusable product capability out of grant- or program-funded work • Ability to articulate a three-year platform vision and combine scientific, regulatory, and technology trends • Ability to read code, designs, and test results firsthand • Ability to build and hold accountable a capable management layer • Ability to make hiring and performance decisions promptly • Ability to design for auditability, traceability, and reproducibility • Ability to make timely, defensible decisions under ambiguity and document decision reasoning

🏖️ Benefits

• Collaborative and supportive environment • Flexible operating practices • Mental, emotional and physical health support • Inclusive and diverse team • Equal opportunity employment • Opportunity to work on solutions positively impacting patient lives • Opportunities for continuous learning and improvement • Exposure to cutting-edge science and technology innovation • Humanitarian mission and social responsibility focus