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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.
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.
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.
Work closely with Project managers, business stakeholders, and engineering teams to align technology with business outcomes.
Translate business requirements into scalable technical solutions.
Experience: 8–10 years (or relevant)
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.