Software Engineer

• Map business processes and enterprise customer pain points into scoped engineering problems with measurable outcomes.
• Architect, build, and iterate on MVPs and prototypes across frontend, backend, and infrastructure — from conception through deployment.
• Design microservices for scale, cost efficiency, and performance, with rigorous attention to security and regulatory constraints.
• Build and maintain CI/CD pipelines using containerization and IaC tooling across major cloud environments.
• Integrate and evaluate LLM-driven development patterns, model fine-tuning, and AI tooling within the SDLC.
• Collaborate with internal stakeholders and enterprise customers to validate solutions and drive adoption.
• Read and assess regulatory guidelines (RBI, SEBI, data privacy frameworks) for impact on product features and customer journeys.

Must Have Criteria

• 3–5 years of professional full-stack software engineering experience across backend, frontend, and DevOps.
• Strong CS fundamentals — data structures, algorithms, complexity analysis — demonstrable through system design and trade-off discussions.
• Hands-on experience with microservices architecture, REST API lifecycle management, and interoperable product ecosystems.
• Proficiency in at least one backend language (Python or Java preferred); working knowledge of a frontend framework (React or Angular).
• Experience with deployment pipelines using Docker and at least one cloud provider (AWS, GCP, or Azure).
• Practiced in Test-Driven Development (TDD) with a structured testing approach across unit, integration, and E2E layers.
  • Exposure to ML/LLM-driven development — including prompt engineering, LLM API integration, or model fine-tuning workflows.