Founding Backend.Preventative Health.Zero layers of management.
I have spent over a decade as a hands-on player-coach co-founding and scaling , going from UX/Principal SWE to CIO while shipping every day. I bring deep expertise in cloud-native solutions, custom trading ERPs, and specialized medical software (built for 2 multi-branch hospital groups) to lead Do Health's backend foundations.
- Media transcoding accelerated 4×
- OIDC/RBAC SSO federated Auth
- 9 client backend geos delivered
Founding backend. A preventative care frontier.
At Do Health, a Senior Backend Engineer doesn't just write features—they own the technical foundation of a mobile-first preventative platform. I sit next to the product and clinical teams, translating Dr. Chatterjee's medical/behavioral vision into a scalable, high-availability architecture. From blood test integrations to personalized ML/AI engine infrastructure, I build for long-term reliability and compliance.
Is this the engineer you're looking for?
Do Health described a very specific engineer. Here's the role, point by point — and every box I tick.
- Own major backend features end-to-end
- Shape architecture alongside the lead engineer
- Scale blood testing infrastructure internationally
- Build production AI/personalisation engines
- Improve reliability, observability, and core foundations
- Work directly with product, design, and clinical teams
- Startup or scale-up experience with genuine ownership
- Work from the London Bridge office, three days a week
Eight for eight on the required bar — met head-on. The nice-to-haves and the B2C scaling ramp are mapped just below.
Every requirement, answered straight.
Mapped to the posting, verdict by verdict — the required bar met head-on, the nice-to-haves marked honestly with the bridge I'd take.
Backend & Scale
High-throughput APIs, database schemas, and B2C scaling patterns.
Architecture & Trust
HIPAA clinical data pipelines, GDPR compliance, and secure auth layers.
AI & Preventative Tech
Integrating blood-test analytics and production ML personalization engines.
Verdicts & Evidence
Detailed evidence, technical receipts, and ramp-up pathways mapped requirement by requirement.
5–8 years of backend experience with strong fundamentals
Evidence & Proof
Over a decade of hands-on backend development co-founding and scaling , going from UX/Principal SWE to CIO while shipping every day. Fluent in Go, Node.js/TypeScript, and Python, designing robust architectures across AWS and GCP.
Experience at a startup or scale-up where you genuinely owned things
Evidence & Proof
Co-founded , growing it to a 22-person product venture firm. Owned technical strategy, cost optimizations, and end-to-end delivery of complex web and mobile apps for clients across 9 geographies, acting as the primary technical decision-maker.
Architectural thinking: hold an end-to-end technical conversation about systems built, trade-offs, failures, and improvements
Evidence & Proof
Deeply experienced in system tradeoffs. For , architected an OIDC multi-tenant federated RBAC authentication system. For , designed high-throughput billing systems integrated with EU VAT rules (acquired by Loopcloud in 2026). Can detail exact failure modes (e.g. caching, queue bottlenecks) and cost-performance trade-offs.
Track record of shipping reliable systems and boring infrastructure
Evidence & Proof
Personally built and maintained the 'boring' but vital infrastructure: automated CI/CD pipelines, containerized deployments, cloud-driven consistent delivery mechanisms, logging/observability stacks, and high-throughput media transformation pipelines that cut time-to-market by 4×.
Comfort with judgement calls in ambiguous situations
Evidence & Proof
Operating as CIO and Engineering Manager, navigating ambiguous client requirements, resource constraints, and early-stage startup trade-offs is my daily default. Guided teams on tech stack selection and cost vs. velocity decisions under tight timelines.
Confident, responsible use of AI tools in your workflow
Evidence & Proof
AI-native builder. My daily development is Claude-led (Gemini second); I build agentic workflows in Go/Python and run a Claude-powered CMS. I hold Anthropic's Claude Code 101 and Introduction to Agent Skills certifications, using them as a force multiplier for rapid prototyping and codebase exploration without losing rigorous code quality.
Nice to have: Strong TypeScript / Node.js experience (our primary stack)
Evidence & Proof
TypeScript and Node.js are my primary day-to-day stack. Architected complex backend systems using NestJS, Express, and modern Serverless Node.js (AWS Lambda, Cloudflare Workers).
Nice to have: Experience scaling systems to high user volumes
Evidence & Proof
Designed and scaled 's media/billing flow to 15,000 users. While this is solid scale, Voy's million-plus consumer volume is a step up. However, the foundational scaling techniques—caching, background queue worker patterns, event-driven architectures, and cost optimizations—are core to my skillset.
Ramp Pathway
B2C high-volume scaling patterns represent a direct growth area—I bring strong architectural fundamentals and will absorb Voy's specific scale patterns rapidly alongside your lead and data teams.
Nice to have: Exposure to ML/AI systems in production
Evidence & Proof
Shipped AI systems in production: built VisaPros (a parallel multi-agent visa eligibility advisor with Google Search grounding) and NewScriber (an autonomous multi-agent podcast generator). Push teams toward system evals, agentic guardrails, deterministic hooks, and repeatable skills.
Nice to have: Healthcare or regulated-industry experience
Evidence & Proof
Personally architected EKAGRA's HIPAA-compliant clinical platform, managing 3,242 patients and 9,650 care schedules across 7 centres, ensuring strict data protection and compliance. Also led 4 other clients to GDPR and WCAG accessibility compliance.
Ability to work from the London Bridge office 3 days per week (Hybrid)
Evidence & Proof
Actively relocating to the UK specifically for this role, with prior international transition experience living in Toronto. Ready for the 3-day hybrid cadence at London Bridge from day one.
The way Do Health tracks member health metrics, I track backend reliability and cost vitals.
At , I managed cloud-native solutions, cost optimizations, and media transformation pipelines — establishing repeatable workflows and cloud-driven consistent delivery mechanisms that kept our clients' infrastructure secure and optimized.
Leading a delivery team.
The role is 'founding backend engineer, own features end-to-end, partner directly with our lead.' Here's how I actually run that — a daily practice.
Complete ownership end-to-end
I sit next to product and clinical teams, not downstream of them. I own backend features from architectural design to implementation, testing, monitoring, and iteration. No tickets thrown over walls.
Hands-on raising the bar by example
I stay hands-on across architecture, implementation, and deployment. I earn technical credibility by being in the code, reviewing PRs, and taking on the complex parts alongside the lead engineer.
Quality and repeatable workflows
Repeatable workflows, review discipline, and automated CI/CD gates are the default operating mode — reducing time-to-market by 4×. In recent times, I've pushed the team toward AI-native engineering and system evals to validate LLM outputs.
Compliance and security as care
HIPAA and GDPR compliance are baked into the architecture, not retrofitted. For a preventative health platform scaling to a million-plus members, treating data protection as member care is non-negotiable.
Real backends. Real outcomes.
Jamahook: High-throughput media matching & billing, acquired by Loopcloud (2026)
I designed the backend API layers, audio metadata indexing schemas, and secure checkout billing pipelines for . Integrated with complex EU VAT compliance rules and processing payments via Stripe, it scaled to support 15,000 active users with high reliability.
- 15,000 users supported on a low-latency audio search and matching backend
- GDPR-compliant checkout and secure Stripe billing pipeline integrated with EU VAT rules
- Acquired by Loopcloud in 2026, validating the system's commercial and architectural value
Hands-on coding — TypeScript/Node.js, database optimization, CI/CD pipelines
Designing microservices, multi-tenant databases, OIDC/RBAC and event-driven patterns
Wiring Stripe payments, secure EHR integrations, and third-party APIs
Profiling memory, tuning queries, and optimizing AWS resources
The founding backend seat — hands-on by default
Leading a small cross-functional team while staying in the code is exactly how I operate: co-founder → Engineering Manager → CIO, a 22-person product engineering firm spanning design, engineering, QA, product and business, and I still ship daily. I am the technical partner a product manager wants — feasibility, trade-offs and a plan that actually launches.
Healthcare & compliance — home ground
I architected specialized medical software, including patient progress and medicine effectiveness tracking systems driving clinical decisions for 2 multi-branch hospital groups ( platform, 3,242 patients, 7 centres). Voy's world of care, sensitive member data and clinical trust is one I have already built in.
Infrastructure & repeatable delivery — built to scale
Hands-on across architecture and code, I engineered custom trading ERPs, media transformation pipelines, cost optimizations, and repeatable workflows with consistent cloud delivery mechanisms that cut 's time-to-market by 4×.
AI-native engineering — certified force multiplier
My daily development is Claude-led (Gemini second); I build agentic workflows in Go/Python and run a Claude-powered CMS. I hold Anthropic certifications and push squads toward system evals, agentic guardrails, deterministic hooks, and repeatable skills.
I don't build from a deck. I've architected systems, scaled cloud-native backends, and shipped compliant health-tech — and I want to do it for a product that makes preventative care feel joyful.Fauzul — on why Do Health
The hard questions.
The objections a sharp hiring team would raise about this profile — answered straight, the way Voy answers a member's questions.
The CIO title is about organizational scaling, but my passion and daily practice remain hands-on architecture and code. Joining a 10-person founding team at Do Health to partner directly with your lead engineer means I can focus 100% of my energy on high-craft delivery and system architecture—fewer administrative hats, deeper technical craft.
The domain transfers cleanly — sensitive health data, clinical trust, compliance and care are what I built (specialized medical software, patient progress, and medicine tracking at 2 separate multi-branch hospital groups). The honest step up is consumer scale: my biggest consumer flow is at 15,000 users, so a million-plus members is genuinely bigger. But the failure modes of scale — caching, queues, event-driven load, cost-by-region — are ones I've engineered for, and I'll pick up Voy's specific growth and retention patterns fast working with your product and data teams.
Yes. I'm deep in TypeScript/Node.js and React day to day, ship Go and Python in production, and I've onboarded onto unfamiliar client codebases across nine geographies for a decade — that's the job. I also use AI (Claude-led) specifically to compress codebase onboarding, so I get productive on a new stack in days, not weeks, and I'm careful to earn the team's trust by being useful in review early.
Your values, answered with engineering receipts.
Voy's values are the frame. Here is how I practice them in the codebase — past the JD's checklist.
Founder-operator who writes the whole system
Co-founder/CIO who shipped under real constraints — from database schemas and CI/CD pipelines to the regulatory compliance nobody else wanted to own. I optimize for production reliability, not just completing tickets.
Data protection and compliance as user care
Architected 's HIPAA-compliant clinical patient-data pipeline and structured GDPR-compliant billing for . For Do Health, keeping member health data secure is a first-class user experience priority.
Continuous codebase and workflow improvements
Pushed teams toward automated testing, automated CI/CD release gates, and system evals for AI tools to ensure code quality steadily compounds.
Architecting for modularity and long-term scale
Designed multi-tenant OIDC/RBAC architectures and event-driven serverless backends (AWS Lambda, Cloudflare Workers) that scale to zero when idle but absorb load peaks easily.
Direct collaboration with product, design, and clinical experts
Collaborated with product on feasibility, design on UI/UX constraints, and clinical professionals on HIPAA rules to ensure the backend supports the holistic mission.
High bar for code quality, review, and documentation
I stay hands-on in the code, review PRs, and establish clear standards so that the backend remains clean and maintainable as the founding team grows.
A player-coach stack.
The stack and the receipts behind the claims.
Management
- CSPO
- SCRUM
- Linear
- Jira
- 1-on-1 coaching
- Stakeholder mgmt
- Remote-work lead
- GDPR / HIPAA compliance
- HR & hiring
Delivery & Team Leadership
- Technical partner to product (feasibility)
- Sprint planning & delivery predictability
- Cross-functional pods (FE · BE · QA · design)
- 1-on-1 coaching & growth
- Hiring & structured onboarding
Quality & Testing
- Code review discipline
- CI/CD release gates (GitHub Actions)
- Feature flags & staged rollouts
- Eval harnesses for AI output
- 4× faster time-to-market (75% cycle-time cut)
Player-Coach Stack
- React / Next.js
- Go (ConnectRPC · Cloud Run)
- Python (AI & data)
- PostgreSQL
- Docker · serverless · GitHub Actions
AI-Native Development
- Agentic systems in production (A2A · MCP · n8n)
- AI-assisted review, docs & onboarding
- Anthropic Claude Code & Agent Skills certified
Health-tech, Trust & Compliance
- OIDC
- RBAC
- JWT
- Auth0
- Multi-tenancy
- Magic-link
- Passport
- HIPAA (EKAGRA clinical platform)
- GDPR / VAT
- WCAG 2
- Sensitive health-data handling
- Auditability
Make preventative care life-changing.
I'm relocating to London for this — the UK is a deliberate target and I have family here, so I'm ready for Voy's London Bridge 3-day cadence from day one. Joining a 10-person founding team at Do Health to own backend features end-to-end is exactly the work I want next.
982-day French streak · the same consistency I bring to shipping