
201 - 500 employees
Founded 2014
🤝 Non-profit
📚 Education
🌍 Social Impact
💰 Venture Round - Noora Health on 2016-01
Non-profit • Education • Social Impact
Noora Health is a nonprofit that partners with hospitals and health systems to train family caregivers and frontline health workers, delivering scalable, evidence-based caregiving education. Operating across India, Bangladesh, Indonesia, and Nepal, Noora Health's programs aim to reduce preventable complications and newborn mortality by equipping families with essential skills and support. It collaborates with global partners like the WHO and integrates caregiver training into routine care to improve patient outcomes in low-resource settings.
🕒 May 26
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201 - 500 employees
Founded 2014
🤝 Non-profit
📚 Education
🌍 Social Impact
💰 Venture Round - Noora Health on 2016-01
Non-profit • Education • Social Impact
Noora Health is a nonprofit that partners with hospitals and health systems to train family caregivers and frontline health workers, delivering scalable, evidence-based caregiving education. Operating across India, Bangladesh, Indonesia, and Nepal, Noora Health's programs aim to reduce preventable complications and newborn mortality by equipping families with essential skills and support. It collaborates with global partners like the WHO and integrates caregiver training into routine care to improve patient outcomes in low-resource settings.
• We are looking for a Lead Engineer who will own the delivery of specific products and run focused engineering pods. • This is a hands-on technical role with people management responsibilities. • You will spend a meaningful share of your time directly writing code, creating engineering designs, reviewing, debugging, while also setting direction for a small team, growing their craft, and running the operating rhythm that turns plans into shipped products. • You will work closely with colleagues across product, design, medical, and data. • Own end-to-end delivery for your individual and pods’ roadmap, from scoping and architecture through release and post-release support. • Set technical direction through engineering design reviews, ERDs, and clear written decision records, so engineers (and their AI tools) have a well-scoped spec to work with. • Build with AI as part of the product, not just around it. Identify where LLMs, retrieval, or agentic workflows genuinely improve caregiver and frontline-worker outcomes, and help ship those features. • Write production code on critical paths, lead complex backend or full-stack changes, and stay close enough to the codebase and the associated tooling to make credible technical calls. • Drive resolution of operational gaps in your area: alerting, on-call, incident response, tech debt, and security and compliance hygiene. • Stay close to how the craft is changing. Bring back what works from outside the team: new tools, new patterns, new ways of working and help us evolve our processes without losing the fundamentals.
• 6–12 years of hands-on software engineering experience with a proven track record of shipping production systems end-to-end, ideally including at least one large project where you owned the architecture, the delivery plan, and the team running it. • Hands-on experience building with LLMs: prompt design, RAG pipelines, agent frameworks, MCPs, and evals. • Strong backend engineering skills in Python (our primary backend language), JavaScript or similar, including API design, data modeling, and query optimization on relational databases. • Comfort working across the stack when needed, with enough familiarity with frontend, mobile, or data pipelines to make sound architectural decisions in a small team. • Working knowledge of cloud platforms such as Google Cloud or AWS, with experience deploying, monitoring, and operating production services. • A Bachelor’s or Master’s degree in a related field or equivalent practical experience. • Strong communication across formats. You document decisions, write clear and simple ERDs, and use writing to align teams rather than relying on meetings. • Comfortable with ambiguity, capable of making decisions with incomplete information, and willing to revisit decisions as facts change.
• Health insurance • Professional development • Flexible work arrangements
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