Key Responsibilities
Technical Leadership & Architecture
Define and own system design, architecture, and technology choices for scalable, resilient platforms.
Drive adoption of microservices, event-driven architectures, and cloud-native patterns.
Ensure systems meet performance, security, and compliance requirements.
AI-Led Development & Practices
Champion AI-first engineering by embedding AI-led development workflows, AI copilots, and automation in the SDLC.
Identify opportunities to integrate AI/ML in product features and engineering processes.
Team Mentorship & Guidance
Mentor engineers in backend (Python, Node.js or Java / Spring Boot), frontend (Angular / React, Flutter or React Native), and full-stack development.
Review code, designs, and solutions to ensure best practices in scalability, performance, and security.
Promote strong DevOps, CI/CD, and testing practices across teams.
Cloud & Infrastructure
Provide guidance on cloud platforms (AWS, Azure, GCP), containerization (Docker, Kubernetes), and infrastructure as code.
Oversee deployment pipelines and ensure smooth release management.
Security & Governance
Enforce secure coding practices, data privacy, and compliance standards.
Anticipate risks, set up monitoring and observability frameworks.
Collaboration & Delivery
Work closely with Project managers, business stakeholders, and engineering teams to align technology with business outcomes.
Translate business requirements into scalable technical solutions.
Proven experience leading full-stack teams with expertise in:
Backend: Java, Python, Node.js (REST / GraphQL, APIs, microservices)
Frontend: Any Typescript framework, React.js, Flutter (mobile/web apps)
Strong knowledge of system architecture, distributed systems, and design patterns.
Experience with cloud environments (AWS/Azure/GCP) and DevOps practices.
Deep understanding of CI/CD, containerization, and monitoring tools.
Exposure to AI/ML applications and ability to embed AI-led practices in engineering.
Strong focus on application security, data protection, and governance.
Excellent communication and leadership skills to guide teams and align with stakeholders.
Experience with event-driven systems, Kafka, RabbitMQ.
Knowledge of databases (SQL, NoSQL, Graph DBs).
Prior involvement in building AI-enabled products or applying AI in developer workflows.
Location: [Vadodara]
We are looking for an experienced Tech Lead who is passionate about building scalable, secure, and intelligent digital platforms or enterprise applications.
The ideal candidate will bring expertise across backend (Python, Node.js, Java), frontend (any technology like Angular/React, Flutter/ReactNative), and guide teams in adopting microservices, cloud-native architectures, CI/CD, and AI-led development practices.
While this role is hands-on in terms of guidance, design, and reviews, day-to-day coding is not the primary expectation.
Instead, the Tech Lead will enable, mentor, and ensure best practices across teams