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.

Robust 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]

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Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Tech Lead (Vadodara)
🏢 Codevian Technologies
📍 Vadodara