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)

- Robust 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]

Job Information

Work Experience

8 to 14

Salary

Best in Industry

Start Date

Immediate Joiner

Location

Vadodara, Gujarat

Qualification

Qualifications: ME (IT, Computer), BE (IT, Computer), MCA, MSC-IT, BCA

📌 Tech Lead (India)
🏢 Codevian Technologies
📍 India