Senior Full Stack Engineer

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# and 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 the end-to-end software cycle, from development through unit, integration, and automation tests, and on to ensuring production stability
• Strong communication skills and the 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 the .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.

In practice, this means:

• Owning complete features from conception to production
• Writing high-quality, maintainable code
• Ensuring proper test coverage and quality assurance
• Managing production deployments and operations

Tech Stack

Area

Technologies and practices

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