Sr. Full Stack Engineer

Applied Systems; Bengaluru; On-site; INR 2,200,000 - 3,200,000; Full time

Job summary

Applied Systems India Pvt Ltd, part of Applied Systems, is seeking a Senior Software Engineer in Bengaluru. You will work in an AI-first engineering culture, delivering full-stack solutions in .NET and React while upholding a quality-first mindset throughout the development lifecycle.

You will build microservices, integrate AI-powered tooling, and collaborate with product, design, and QA teams to ship robust software on schedule. Strong fundamentals in web tech and testing are required.

Qualifications

• BE/BTech/MTech/MCA/MSc or equivalent is required.
• 5+ years hands-on software engineering experience.

Responsibilities

• Design, develop, and maintain full-stack web applications using .NET (C#, ASP.NET Core) and React.
• Champion AI-powered tools across the SDLC to boost velocity and code quality.
• Architect and build microservice-based, event-driven systems with async patterns.

Skills

.NET Core / C#

ReactJS

HTML5 / CSS3

TypeScript

REST APIs

SQL Databases

Unit & Integration tests

CI/CD

AI tools in SDLC

Code reviews

Mentoring

Education

BE/B.Tech/MTech/MCA/MSc or equivalent

Tools

AWS

Docker

Kubernetes

GitLab CI/CD

Apigee

Tilt

Datadog

Job description

Amazing Career Moments Happen Here

Transforming the insurance industry is ambitious, we know. That’s why at Applied Systems India Pvt Ltd., an Applied Systems company, we’re building a team that shows up every day ready to learn, willing to try new things, and driven to deliver innovative software and services that make us indispensable to our customers – all within a culture built on values that make us indispensable to each other too. With 40+ years of experience in the Insurtech game, we’re not just redefining what’s achievable, we’re creating a place where amazing career moments are made possible.

Position Overview

We are looking for a Senior Software Engineer to join our Engineering team in Bengaluru. The role is purpose-built around an AI-first engineering mindset – you will leverage AI tools and AI SDLC best practices across the entire product development lifecycle to accelerate delivery, elevate code quality, and drive innovation. You’ll be a full‑stack engineer at heart, writing production‑grade code in .NET and React while championing a quality‑first development culture. This role bridges product engineering and quality engineering – you’ll build features and own their quality end‑to‑end.

Required Skills

• Education: BE, B. Tech, M. Tech, MCA, MSc or equivalent
• Experience Level: 5+ Years of hands‑on software engineering experience

Mandatory Skills (Full‑Stack + Quality & Product Engineering)

• Strong proficiency in .NET framework (C#, ASP.NET, .NET Core) for backend development.
• Proficiency with ReactJS and related ecosystem (Redux, React Router, hooks, context API).
• Strong knowledge of HTML5, CSS3, and modern JavaScript/TypeScript.
• Proficiency with microservice architecture, event‑driven programming, and async design patterns.
• Hands‑on experience designing and consuming RESTful APIs.
• Solid experience with relational databases such as SQL Server, MySQL, or PostgreSQL.
• Demonstrated quality‑first mindset: experience writing unit tests, integration tests, and automated test suites as part of the development workflow. Ability to own quality end‑to‑end, not just hand off to QA.
• Familiarity with CI/CD pipelines and embedding automated quality gates (linting, static analysis, test coverage thresholds).
• Strong understanding of quality management principles – defect prevention, root cause analysis, test planning, and quality metrics tracking across the product engineering lifecycle.
• Hands‑on experience with quality engineering practices: test automation frameworks, performance/load testing, API contract testing, and shift‑left testing strategies to catch defects early in the SDLC.
• Proven ability to use AI‑powered development tools (e.g., Claude, GitHub Copilot, ChatGPT, AI code‑review/test‑generation tools) to accelerate and improve the SDLC.
• Strong troubleshooting, debugging, and research abilities.
• Excellent communication skills and ability to work collaboratively in a team‑oriented environment.
• Strong work ethic and ability to deliver solutions within committed timeframes.

What You’ll Do

• Design, develop, and maintain full‑stack web applications using .NET (C#, ASP.NET Core) for backend and ReactJS for frontend development.
• Integrate and champion AI‑powered development tools (e.g., Claude, GitHub Copilot, AI code‑review assistants, AI test generators) across the SDLC to boost team velocity and code quality.
• Utilize and enforce AI SDLC best practices – from AI‑assisted requirements analysis and design through AI‑augmented testing, deployment, and monitoring.
• Drive a quality‑first development culture: author comprehensive unit, integration, and end‑to‑end tests; embed automated quality gates in CI/CD pipelines.
• Work on all phases of the development lifecycle, including requirement gathering, analysis, design, coding, testing, and deployment.
• Collaborate with product managers, designers, QA engineers, and fellow developers to deliver high‑quality software solutions on time.
• Architect and build microservice‑based, event‑driven systems with async design patterns for scale and resilience.
• Ensure code quality by writing clean, maintainable, and efficient code. Conduct and participate in code reviews, providing constructive feedback to peers.
• Prepare and maintain technical documentation for code, architecture decisions, and design patterns.
• Mentor junior engineers on AI tool adoption, testing strategies, and full‑stack best practices.
• Stay updated with emerging AI/ML tools, frameworks, and industry trends to continuously improve engineering practices.

You May Have Other Skills, Including

• Experience with AWS cloud services (EC2, Lambda, S3, RDS, ECS/EKS, CloudWatch).
• Experience with containerization and orchestration tools – Docker & Kubernetes.
• Familiarity with GitLab CI/CD, Apigee API management, and Tilt for local development workflows.
• Experience with observability platforms such as Datadog or similar.
• Knowledge of AI/ML frameworks or platforms and their application in software engineering workflows.
• Experience with infrastructure‑as‑code or cloud‑native development patterns.

When You Join Team Applied, You Can Expect

A culture that values who you are and recognizes that you aren’t just an employee; you are a teammate, and you matter. We thrive on the benefits of our different experiences and celebrate the uniqueness our teammates bring to work with them every day.

We flex our time together, collaborating remotely and in‑person to empower our teams to work in the ways that work best for them.

EEO Statement

Applied Systems is proud to be an Equal Employment Opportunity Employer. Diversity and Inclusion is a business imperative and is a part of building our brand and reputation. At Applied, we don’t discriminate, and we are committed to recruit, develop, retain, and promote regardless of race, religion, color, national origin, sexual orientation, gender identity, disability, age, veteran status, and other protected status as required by applicable law.