Tech Lead

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. Required Skills & Experience

• 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.

Nice-to-Have

• 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]