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)
– 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.
Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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