Job description
This role is for one of the Weekday's clients Salary range: Rs 6000000 - Rs 7000000 (ie INR 60-70 LPA) We are looking for a forward-thinking engineering leader to drive an AI-first, cloud-native technology ecosystem with end-to-end ownership across the software development lifecycle (SDLC).
In this role, you will lead the design, development, and deployment of scalable AI-powered solutions while embedding automation, intelligence, and resilience into every stage of delivery.
You will be responsible for modernizing engineering practices, establishing robust architectures, and enabling high-performing teams to build enterprise-grade platforms.
This position requires a blend of strategic vision and hands-on expertise to deliver innovative, secure, and scalable systems while fostering a culture of continuous improvement and technical excellence.
Key Responsibilities Own and drive the complete SDLC from requirements, design, development, testing, deployment, to operations Design and implement AI/ML solutions, including model development, training, deployment, and operationalization Establish modern engineering standards, reusable frameworks, and scalable architecture patterns Lead the adoption of DevSecOps practices including CI/CD pipelines, automated testing, and release automation Ensure high-quality engineering through code reviews, testing strategies, and performance optimization Build and enhance observability, monitoring, and system reliability practices Drive cloud-native development and scalable platform architecture Provide technical leadership and guidance to engineering teams Collaborate with cross-functional stakeholders to align technology with business goals Promote innovation, continuous improvement, and adoption of emerging technologies What Makes You a Great Fit Strong experience across the full SDLC with a focus on scalable system design Proven expertise in AI/ML solution development and deployment Hands-on experience with programming languages such as Python, Java, or Go Solid understanding of cloud platforms and modern architecture practices (AWS preferred) Experience implementing DevSecOps practices and automation frameworks Strong problem-solving and analytical thinking abilities Experience leading and mentoring engineering teams Ability to balance strategic thinking with hands-on execution Passion for innovation and continuous learning in AI and cloud technologies
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