# Principal Engineer

> Weekday AI · Bengaluru, India · Full-time · Posted 2026-04-28

**Salary:** INR 6,000,000–7,000,000

**Workplace:** on_site

**Department:** Weekday's Client via platform

## 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.

## Requirements

**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

## Apply

[Apply at Weekday AI](https://apply.workable.com/weekday-1/j/75F84D58E4/apply)

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