SSE-II

Role Overview

We are looking for a Senior Software Engineer-II with 5+ years of experience to join our engineering team. One product is built primarily on .NET, while the other is built using TypeScript/Node.js.

The ideal candidate will be responsible for end-to-end feature delivery, including solution design, development, testing, deployment, and production support. This role requires strong engineering fundamentals, system design, experience building scalable distributed systems, and the ability to work across multiple technology stacks.

The candidate should also have hands-on experience with AI Engineering, especially in areas such as engineering productivity, AI-enabled systems, automation, or intelligent product capabilities.

Key Responsibilities

Design, develop, test, deploy, and maintain features

Work on backend services using .NET and TypeScript/Node.js, depending on product requirements

Own feature delivery from requirement analysis to production release

Collaborate with product managers, architects, QA engineers, DevOps, and other stakeholders

Build scalable, reliable, and maintainable services using distributed systems and microservices architecture

Ensure code quality through unit testing, integration testing, code reviews, and engineering best practices

Participate in technical design discussions and contribute to architecture decisions

Work with cloud platforms such as AWS or Azure for application deployment and operations

Contribute to CI/CD pipelines, release processes, observability, and production readiness

Apply strong SDLC practices across planning, development, testing, deployment, and support

Explore and contribute to AI Engineering initiatives, such as productivity automation,



AI-assisted workflows, or AI-powered system capabilities

Troubleshoot and resolve production issues in a timely and effective manner Required Skills and Experience

5+ years of professional software engineering experience.

Strong hands-on experience with .NET / C#, TypeScript, preferably with Node.js

Good understanding of distributed systems, microservices, and scalable backend architecture

Experience building and maintaining B2B SaaS products or enterprise-grade software platforms

Strong knowledge of software testing practices, including unit testing, integration testing, and automated testing

Experience with cloud platforms such as AWS or Azure

Familiarity with CI/CD pipelines and deployment processes

Strong understanding of the full Software Development Life Cycle

Good problem-solving, debugging, and analytical skills

Comfortable with end-to-end software cycle from development to writing unit / integration / automation tests along with ensuring production stability

Strong communication skills and ability to work collaboratively in a cross-functional team.

Preferred

Skills

Experience with AI Engineering, AI-enabled developer productivity tools, or AI-powered product features.

Exposure to LLM-based systems, AI agents, prompt engineering, or applied AI workflows.





Experience with containerization and orchestration tools such as Docker and Kubernetes.

Experience with observability tools, logging, monitoring, and alerting.

Familiarity with secure coding practices and performance optimization.

Experience working in agile product engineering teams.

Ideal Candidate

Profile The ideal candidate is a strong backend/full-stack engineer who can work across .NET and TypeScript/Node.js ecosystems. They should be comfortable owning complete features, writing high-quality code, ensuring proper test coverage, and managing production deployments.

They should be technically strong, product-minded, and comfortable working in a B2B SaaS environment where reliability, scalability, and maintainability are critical. A strong interest in AI Engineering and modern software productivity practices will be highly valued.

Owning complete features from conception to production

Writing high-quality, maintainable code

Ensuring proper test coverage and quality assurance

Managing production deployments and operations

They should be technically strong, product-minded, and comfortable working in a B2B SaaS setting where reliability, scalability, and maintainability are critical. A strong interest in AI Engineering and modern software productivity practices will be highly valued.

Tech Stack

Backend: .NET, C#, TypeScript, Node.js

Architecture: Distributed Systems, Microservices

Cloud: AWS and/or Azure

Testing: Unit Testing, Integration Testing, Automated Testing

Engineering Practices: CI/CD, SDLC, Code Reviews, Deployment Ownership

AI Engineering: Productivity tools, AI systems, AI-assisted engineering workflows

📌 Senior Software Engineer II (India)
🏢 First American (India)
📍 India