WHO WE ARE Noora Health India Private Limited is a key partner in Noora
Health’s mission is to improve outcomes and strengthen health systems by
equipping family caregivers with the skills they need to care for their loved
ones. They develop content, technology platforms, new products, and strengthen
other operational functions that support the scale and impact of Noora
Health’s programs. Founded in 2014, Noora Health turns hospital hallways and
waiting rooms into classrooms by tapping into the most compassionate resources
available for the patient’s care: their own family. With support from
governments and partners in India, Bangladesh, Indonesia, and Nepal, Noora
Health has trained more than 58 million caregivers and patients across 16,300+
facilities using their flagship caregiver education and training curriculum,
the Care Companion Program (CCP). In a cohort of patients, the CCP reduced
post-surgical cardiac complications by 71%, maternal complications by 12%,
newborn complications by 16%, and newborn mortality by 18%. Noora Health is an
Audacious Project Grantee and received the Skoll Foundation Award for Social
Innovation. To learn more, watch our TED Talk, Skoll feature, or read about
our partnership with the World Health Organization. WHAT THE PLATFORMS &
ENGINEERING TEAM DOES Our Platforms & Engineering team continuously innovates
and builds new technology and products to improve health outcomes and save
lives. We serve patients and family caregivers across India, Bangladesh,
Indonesia, and Nepal throughout their caregiving journeys. We also build
solutions for frontline healthcare workers and internal engineering systems
that power our larger programmatic work. OUR CURRENT STACK Our backend runs on
Python with PostgreSQL on Google Cloud. We deliver our interventions through
Exotel, Turn.io, RapidPro, other third-party tools, and a growing set of
homegrown applications that connect us to caregivers and frontline workers. AI
is a first-class part of how we build: we use coding assistants and agents in
our day-to-day development, and we are actively building LLM-powered features
into our products. We are a growing engineering team with emerging processes,
and a meaningful part of this role is helping us refine them towards
operational excellence without losing the velocity that a small team can
offer. WHAT YOU WILL DO 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. WHO ARE WE LOOKING FOR A builder/tinkerer first: You have
shipped at least one production LLM-powered product end-to-end and have strong
opinions about what makes these systems reliable, safe, and actually useful.
You are most at home writing code, reading design docs, and debugging, and you
have taken on people management because you have found it multiplies what a
small team can ship. 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. You
know how to instrument these systems for quality and post-deployment
optimization. AI tools are also native to how you work now. 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. 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. A Bachelor’s or Master’s degree in a related field or
equivalent practical experience. WHAT WE VALUE We value diversity, equity, and
inclusion, and we understand the value of developing a team with different
perspectives, educational backgrounds, and life experiences. We prioritize
diversity within our team, and we welcome candidates from all gender
identities, castes, religious practices, sexual orientations, and abilities —
among many others. We encourage people from all backgrounds to apply. HOW TO
APPLY Please submit your application using this link.