Qualifications
Key Responsibilities:Own and manage the entire SDLC from requirements gathering, design, development, testing, deployment, to operations. Design and implement AI/ML solutions, including model development, training, deployment, and operationalization. Establish contemporary 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 mentorship to engineering teams. Collaborate with cross-functional stakeholders to align technology with business objectives. Encourage innovation, continuous improvement, and the integration of emerging technologies. What Makes You a Great Fit:Extensive experience across the full SDLC with an emphasis on scalable system design. Proven expertise in AI/ML solution development and deployment. Hands-on proficiency with programming languages such as Python, Java, or Go. Strong understanding of cloud platforms and modern architectural practices (AWS preferred). Experience implementing DevSecOps practices and automation frameworks. Exceptional problem-solving and analytical thinking capabilities. Experience leading and mentoring engineering teams. Ability to balance strategic thinking with practical execution. A passion for innovation and a commitment to continuous learning in AI and cloud technologies.
About the job
This Principal Engineer position at Weekday's Client is based in Bengaluru, Karnataka, India. The role centers on advancing AI innovation within a cloud-native environment. Full ownership of the software development lifecycle is a core part of this senior engineering role.
What you will do
- Lead the design, development, and deployment of scalable AI-powered solutions.
- Integrate automation, intelligence, and resilience into engineering delivery.
- Modernize engineering practices and establish secure architectures.
- Guide and empower teams to build enterprise-grade platforms.
- Promote continuous improvement and technical excellence across projects.
Requirements
- Strategic vision along with hands-on technical expertise.
- Experience leading engineering teams and delivering secure, scalable systems.
- Background in AI-first and cloud-native environments.
- Commitment to modern engineering methodologies and best practices.
Compensation
Salary range: Rs 6,000,000 - Rs 7,000,000 (INR 60-70 LPA)