Job Description

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 settings (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.
Solid 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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📌 Tech Lead Vadodara
🏢 Codevian Technologies
📍 Vadodara