Newpage - Staff Software Engineer

Newpage Solutions; Kolkata District; On-site; INR 3,000,000 - 5,400,000; Full time

Job summary

Newpage Solutions is seeking a Strong Staff Software Engineer / FDE profile focused on full-stack delivery, production GenAI, and multi-team technical leadership. The role requires deep Python and JavaScript/TypeScript experience, 2+ years in generative AI, and strong frontend/backend expertise across Next.js/React and cloud platforms.

The position emphasizes architecture, RAG systems, and creating scalable AI-powered tooling, with a priority on reliable delivery and mentorship across teams.

Qualifications

• 7+ years of professional software engineering experience with full-stack delivery across backend and frontend.
• Deep production experience with Python and JavaScript/TypeScript across the full stack.
• 2+ years in generative AI applications, LLM integrations, vector databases, RAG systems, and evaluation pipelines.
• Strong experience with modern frontend frameworks (Next.js/React) and backend API development.
• Extensive experience with cloud platforms (AWS preferred).
• Working knowledge of relational and non-relational databases (PostgreSQL, Redis, document DB).
• Solid CI/CD experience (GitHub Actions), containerization, and production deployment strategies.
• Fluent with AI coding tools (Claude Code, Cursor, GitHub Copilot) and designing agentic engineering workflows.

Responsibilities

• Immerse in operations and mentor engineers across the area.
• Influence senior stakeholders, manage complex landscapes, build trust with new stakeholders.
• Lead rapid delivery initiatives and establish clear criteria for prototype-to-production transitions.
• Architect RAG systems and establish evaluation pipelines with tracing to datasets.
• Build high-performing teams and foster psychological safety across multi-team environments.
• Define reliability standards and drive post-incident improvements with SRE practices.
• Define documentation standards and lead generalisation initiatives.

Skills

Python

JavaScript/TypeScript

Full-stack delivery

Next.js/React

AWS

CI/CD pipelines

Containerization

AI coding tools

RAG / vector databases

Production GenAI leadership

Tools

PostgreSQL

Redis

GitHub Actions

Job description

Job Description

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 generalise 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.

Ideal Candidate

Strong Staff Software Engineer / FDE profile (full-stack + production GenAI, multi-team technical leadership).

• Mandatory (Experience 1) - Must have 7+ years of relevant professional software engineering experience, with demonstrated full-stack delivery across backend and frontend.
• Mandatory (Experience 2) - Must have deep production experience with Python AND JavaScript/TypeScript, working comfortably across the full stack.
• Mandatory (Experience 3) - Must have 2+ years of experience in generative AI applications developement LLM integrations, vector databases, RAG systems, and evaluation pipelines.
• Mandatory (Experience 4) - Must have strong experience with modern frontend frameworks (Next.js / React) and backend API development.
• Mandatory (Experience 5) - Must have extensive experience with cloud platforms (AWS preferred; Azure/GCP valued).
• Mandatory (Experience 6) - Must have working knowledge of multiple database paradigms relational (PostgreSQL), document, and key-value (Redis) with ability to select the right storage per problem.
• Mandatory (Experience 7) - Must have strong experience with CI/CD pipelines (e.g. GitHub Actions), containerization, and production deployment strategies.
• Mandatory (Experience 8) - Must have demonstrable fluency with AI coding tools (Claude Code, Cursor, GitHub Copilot, or similar) and proven ability to design agentic engineering workflows and train teams on them.
• Mandatory (Career Stability) - Must demonstrate a stable career history with no pattern of frequent job changes.
• Preferred (Experience) - Advanced RAG techniques hybrid search, reranking, query expansion and establishing RAG standards across teams.

(ref:hirist.tech)