Posted Apr 15, 2026
Key Responsibilities:
Qualifications Required:
6-8 years of experience in building and scaling full-stack applications
Proven track record in early-stage B2B SaaS or platform engineering teams
Strong proficiency in modern web stacks, preferably Next.js, Nest.js, and Spring Boot
Familiarity with working on AWS and hybrid/on-premise infrastructure setups
Experience or keen interest in developing AI-powered user experiences (e.g., LangGraph, LLMs, etc.)
Strong sense of ownership, product mindset, and attention to detail
Startup mindset with resourcefulness, agility, and focus on outcomes
Experience with enterprise IT SAAS software (Salesforce, Oracle ERP, Netsuite, etc.) is a plus Join FloData to be a part of building a generational product that intersects AI, automation, and data. Enjoy working closely with founders and leadership, having end-to-end ownership of your contributions, and shaping the culture and technical foundations of an ambitious company based in Hyderabad with onsite work flexibility. Apply now to explore this exciting opportunity. Role Overview: Join us at FloData to be a part of reimagining how businesses integrate data and automate processes, with AI at the core. As a Full-Stack Tech Lead, you will drive the development of our new platform, mentor a capable team, and play a key role in shaping a category-defining product. If you are passionate about building AI-native experiences, enjoy working across the stack, and thrive in a fast-paced startup environment, this opportunity is for you. Key Responsibilities:
Spend 70% of your time designing, building, and reviewing software across frontend, backend, and AI layers
Guide and lead a small engineering team for 30% of your time
Translate product and business requirements into system designs and execution plans
Ensure delivery of features and infrastructure that can scale to enterprise-grade workloads
Unblock the team, promote engineering best practices, and foster a culture of quality
Contribute to architectural decisions and introduce new technologies as required (e.g., queuing, observability, etc.)
Act as a mentor, collaborator, and key decision-maker for complex technical matters
Advocate for and implement AI-first principles across all product layers
Qualifications Required:
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