Experience
7 - 12 yrs
Job Location
Chennai, India
Vacancy
1
Designation
Staff Software Engineer
Job Type
Not specified
Job Description
"
STAFF SOFTWARE ENGINEER - FDE
Location: Chennai | Type: Full-time
About Newpage Solutions
Newpage Solutions is a global digital health innovation company helping people live longer, healthier lives. We partner with life sciences organisations which include, pharmaceutical, biotech and healthcare leaders, to build transformative AI and data driven technologies addressing real-world health challenges.
About Newpage Solutions
Newpage Solutions is a global digital health innovation company helping people live longer, healthier lives. We partner with life sciences organisations which include, pharmaceutical, biotech and healthcare leaders, to build transformative AI and data driven technologies addressing real-world health challenges.
From strategy and research to UX design and agile development, we deliver and validate impactful solutions using lean, human-centered practices.
We are proud to be a Great Place to Work certified company for the last three consecutive years. We also hold a top Glassdoor rating and are named among the "Top 50 Most Promising Healthcare Solution Providers" by CIOReview. As an organisation, we foster creativity, continuous learning and inclusivity, creating an environment where bold ideas thrive and make a measurable difference in people s lives.
Your Mission
Your Mission
We are looking for Staff Software Engineer who will Design and build scalable full-stack software systems that deliver measurable business value. Work directly with teams across Commercial, Manufacturing, and RD to discover problems, navigate ambiguity, and ship practical solutions quickly. Develop AI-powered applications, including production RAG systems, LLM integrations, and optimized retrieval pipelines. Identify repeatable patterns in your work and collaborate with platform teams to generalize solutions into reusable frameworks. Lead technical initiatives, mentor engineers, and turn complex business challenges into reliable, production-ready systems.
What You ll Do
Responsibilities
- Business: Immerse in operations until you think like an insider. Rapidly acquire domain expertise through direct observation, translate between business and engineering seamlessly, and mentor engineers in your area on immersion. Influence senior stakeholders effectively, manage complex stakeholder landscapes with competing agendas, and build trust rapidly with new stakeholders.
- Delivery: Lead rapid delivery initiatives across teams in your area, coach on prototype-first approaches, and establish trust through consistent fast delivery. Build complete applications rapidly across any technology stack, select the right tools for each problem, and define clear criteria for prototype-to-production transitions.
- Generative AI : Architect RAG systems for complex use cases across teams, implement advanced techniques (hybrid search, reranking, query expansion), mentor engineers on RAG best practices, and establish RAG standards. Lead evaluation strategy across teams, establishing annotation guidelines, training human-calibrated LLM judges, and building evaluation pipelines that connect tracing to datasets to experiments.
- People: Build high-performing teams across your area, navigate complex interpersonal dynamics, foster psychological safety, and create environments where diverse perspectives are valued. Influence through communication at all levels - from frontline to executive. Handle difficult conversations skilfully and train engineers in your area on effective communication.
- AI-Augmented Development : Optimise AI tool usage across teams in your area, train engineers on AI-augmented and agentic engineering workflows, evaluate new AI development tools, and establish practices that balance AI speed with verification rigour.
- Scale : Design complex multi-component systems end-to-end, evaluate architectural options for large initiatives across teams, guide technical decisions for your area, and mentor engineers on architecture. Create debt reduction strategies across teams, influence roadmap decisions to include debt work, and teach engineers when to accept debt for speed versus when to invest in quality.
- Documentation: Define documentation standards across teams in your area, create documentation systems and templates, train engineers on spec-driven development, and ensure documentation quality across projects. Lead pattern generalization initiatives, defining criteria for when to generalize versus keep custom.
- Reliability: Define reliability standards across teams in your area, drive post-incident improvements systematically, design capacity planning processes, and mentor engineers on SRE practices.
- Process: Lead lean transformations across teams in your area, design flow-optimised processes, coach engineers on lean principles, and balance speed with sustainability. Establish metrics that drive improvement. Role Behaviours
- Own the Outcome: Drive accountability culture focused on outcomes not deliverables. Own business relationships and impact metrics across your function. Make trade-offs between custom solutions and generalisable work. There is no "I must run this by X." Ensure verification rigour for AI-generated code.
- Be Polymath Oriented: Champion cross-disciplinary learning. Create holistic solutions spanning technical and business domains. Embody the Renaissance Engineer ideal. Translate specialised knowledge into accessible explanations. Think like a business insider.
- Communicate with Precision: Create spec-driven development practices. Mentor others on precise communication. Span C-level executives to frontline workers. Drive clarity as a core value across your function. Represent the organisation externally.
- Dont Lose Your Curiosity : Drive team curiosity through challenging questions. Create environments where exploration and experimentation are encouraged. Model problem discovery orientation. Seek out ambiguity rather than avoiding it.
- Think in Systems : Shape systems design practices across your function. Conduct chaos engineering experiments. Influence cross-team architecture decisions. Create clarity from complexity. Bridge technical systems with business processes.
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