Senior Full-stack Engineer - (AI, Cloud)

TechGrove AI Engineering Pod

You are a versatile, senior full-stack engineer who likes to own a feature from the database all the way to the pixel, and you ship. You are fluent across the stack, comfortable in the cloud, and you have leaned into AI-native development as a way to move faster without cutting corners. You take pride in clean, well-tested, production-quality code.

As a Senior Full-stack Engineer (Cloud), you are the delivery muscle of the pod. You build modernized, cloud-native applications end to end: cloud services and data, robust APIs, and modern, responsive user interfaces aligned to the OpCo’s design system. You develop natively with agentic tooling such as Claude Code, and you help set the standard for how the pod uses it.

If you want to build real products with senior peers, with AI woven through your daily workflow, this is the team.

About the Pod

A TechGrove AI Engineering Pod is a self-contained, AI-native software delivery team that we embed inside one of our Operating Companies (OpCos) to build, modernize, and ship production software. Each pod pairs senior engineering talent with agentic AI tooling such as Claude Code, plus the accelerators of Banyan’s AI Application Modernization Factory, to deliver at a velocity and quality bar a traditional team cannot match.

A pod is typically four to eight people, and OpCos add more pods as their ambitions grow. You will work as part of a tight, high-trust team with real ownership of what you build. Pods are delivered from Banyan’s India-based TechGrove.

What You Will Do

• Deliver full-stack features: Own complex features end to end: backend services, APIs, data, and UI, writing clean, well-tested, production-quality code.
• Build great frontends: Build responsive, accessible interfaces in React.js and Next.js, implementing against the OpCo’s design system and shared component library for visual and behavioral consistency.
• Engineer for the cloud: Design and build scalable, secure, resilient applications on cloud-native infrastructure.
• Design APIs and data: Build robust APIs (REST and GraphQL) and well-designed SQL/No-SQL data models supporting microservices and cloud-native patterns.
• Develop AI-natively: Use and champion AI-assisted development tooling (Claude Code and similar) to maximize velocity and code quality across the SDLC.
• Own delivery and DevSecOps: Build and maintain CI/CD pipelines and Infrastructure-as-Code (Terraform) for rapid, reliable, secure deployments.
• Raise quality through reviews: Participate in and lead code reviews, including of AI-generated code, upholding design patterns (DDD), testing, and application-security standards.
• Integrate and modernize: Implement integration patterns connecting new services with the OpCo’s existing systems as part of modernization and re-platforming.
• Own it in production: Take ownership through deployment and operation, contributing to observability, performance, and reliability.

What You Bring

• Experience: Strong software engineering experience building production applications.
• Production experience on AWS or Azure (required): You have built and run production applications on AWS or Azure. Experience limited to GCP alone does not meet this requirement, although GCP in addition to AWS or Azure is a plus.
• Full-stack ability: Strong proficiency across the stack: modern backend languages and modern UI frameworks (React.js, Next.js, Vite).
• Modern tech stack: Strong, hands-on experience with at least one of: .NET Core, Python, TypeScript, or Java.
• Frontend and design systems: Solid hands-on React.js experience: building responsive, accessible UIs from reusable components, managing client-side state, and working within an established design system and component library.
• APIs and data: Hands-on experience designing APIs (REST and/or GraphQL) and working with SQL and No-SQL databases.
• IaC and DevSecOps: Experience with Infrastructure-as-Code (Terraform) and building and maintaining CI/CD pipelines (GitHub Actions, GitLab CI).
• AI-native tooling: Fluency with AI-assisted development tooling (Claude Code or similar) as a core part of daily work.
• Engineering principles: Solid grounding in DDD, clean code, SOLID and DRY, test-driven development, strong typing, and code hygiene.
• Problem solving: Structured technical problem-solving (decomposition, hypothesis-driven testing) to debug complex issues in distributed systems.
• Agile and ownership: Experience working in Agile (Scrum/Kanban) with a proactive ownership mindset.

Nice to Have

• Containerization (Docker/Kubernetes) and serverless (AWS Lambda, Azure Functions).
• Experience developing GenAI capabilities (LangChain, LlamaIndex) or multi-agent frameworks (crewAI, AutoGen).
• Message queuing and streaming technologies (Kafka, RabbitMQ).
• Experience with SaaS operating models and observability / APM tooling.
• Experience with application modernization or re-platforming.
• Working knowledge of GCP, in addition to AWS or Azure.

What Success Looks Like

• First 90 days: You are shipping production features independently, your code sets a clean example for the pod, and you are using agentic tooling fluently in your daily workflow.
• First 6 months: You are trusted with complex, cross-cutting features, you raise quality through reviews and patterns, and you are a dependable engine of the pod’s delivery.

Why TechGrove, Why Banyan

• Permanent home, long-term thinking: Banyan acquires great software businesses and keeps them for good. We invest for the long term, which means you build software meant to last, not to flip.
• Real ownership: You own outcomes end to end inside a small, senior team. The OpCo owns the “what”; the pod owns the “how.”
• AI-native by default: You work every day with agentic tooling and the AI Application Modernization Factory, not as a side experiment but as the core of how we build.
• Variety with stability: Pods work across a portfolio of real products and domains, so you keep learning, with the security of a permanent employer behind you.
• Growth and excellence: A Banyan Director of Engineering Excellence supports every pod with coaching, standards, and continuous improvement, so your craft compounds over time.

Should You Apply?

We have written this role to be honest about what it takes, not to describe a mythical perfect candidate. If you meet most of what is listed and you are excited by the work, we want to hear from you. Strong engineers grow into the rest, and we will help you do exactly that.

We are building diverse, inclusive teams, and we welcome applicants of every background. What matters most is the quality of your engineering, your curiosity about AI-native development, and your appetite to own outcomes.