Lead Backend Engineer

Weekday AI; Bengaluru; On-site; INR 4,500,000 - 5,500,000; Full time

Job summary

Weekday is seeking a Lead Backend Engineer for a client role in Bengaluru to design and implement scalable backend solutions powering high-traffic applications.

You will mentor engineers, lead microservices architecture, integrate AI-driven features, manage CI/CD, and collaborate with product, frontend, and AI teams across AWS/GCP/Azure.

Qualifications

• 7+ years of professional backend development experience.
• Deep expertise in Python, Django/Flask, and asynchronous programming.
• Proven track record deploying AI/ML services at scale.
• Strong leadership with cross-functional team management.
• Expert in microservices, Docker, Kubernetes and cloud platforms.

Responsibilities

• Design and develop high-performance backend architectures using Python and related frameworks.
• Lead the implementation of AI and machine learning services, ensuring seamless integration with existing systems.
• Mentor and coach a growing team of backend developers, fostering a culture of ownership and continuous improvement.
• Collaborate with frontend engineers to define API contracts, data contracts, and performance requirements.
• Own the CI/CD pipeline, containerization, and deployment strategies across multiple cloud environments.
• Optimize database schemas, query performance, and data storage solutions for large-scale data workloads.
• Establish and enforce coding standards, security best practices, and testing methodologies.
• Conduct regular code reviews, design discussions, and sprint planning sessions.
• Stay current with emerging technologies and evaluate their potential impact on the product roadmap.
• Provide technical expertise in incident response and post-incident analysis to improve system resilience.

Skills

Python

Django/Flask

Asynchronous programming

API design

Leadership

Microservices

CI/CD

SQL/NoSQL databases

Mentoring

Tools

Docker

Kubernetes

Cloud platforms (AWS/GCP/Azure)

Job description

This role is for one of the Weekday's clients

Salary range: Rs 4500000 - Rs 5500000 (ie INR 45-55 LPA)

Experience: 7+ yrs

Location: Bengaluru, Karnataka, India

As a Lead Backend Engineer, you will spearhead the design and implementation of scalable backend solutions that power high-traffic applications. You will collaborate closely with product managers, frontend teams, and AI specialists to translate business goals into robust, maintainable codebases. Your role will involve architecting microservices, integrating AI-driven features, and ensuring deployment pipelines are efficient and reliable. You will mentor junior engineers, conduct code reviews, and drive best practices across the engineering org, all while staying ahead of industry trends in Python, cloud services, and machine learning.

Key Responsibilities

• Design and develop high-performance backend architectures using Python and related frameworks.
• Lead the implementation of AI and machine learning services, ensuring seamless integration with existing systems.
• Mentor and coach a growing team of backend developers, fostering a culture of ownership and continuous improvement.
• Collaborate with frontend engineers to define API contracts, data contracts, and performance requirements.
• Own the CI/CD pipeline, containerization, and deployment strategies across multiple cloud environments.
• Optimize database schemas, query performance, and data storage solutions for large-scale data workloads.
• Establish and enforce coding standards, security best practices, and testing methodologies.
• Conduct regular code reviews, design discussions, and sprint planning sessions.
• Stay current with emerging technologies and evaluate their potential impact on the product roadmap.
• Provide technical expertise in incident response and post-incident analysis to improve system resilience.

What Makes You a Great Fit

• 7+ years of professional experience building scalable backend systems.
• Deep expertise in Python, Django/Flask, and asynchronous programming.
• Proven track record of deploying AI/ML services at production scale.
• Strong leadership skills with experience managing a cross-functional engineering team.
• Mastery of microservices architecture, Docker, Kubernetes, and cloud platforms (AWS/GCP/Azure).
• Solid understanding of database technologies (SQL, NoSQL) and data modeling best practices.
• Excellent communication skills, capable of translating complex technical concepts to non-technical stakeholders.
• Familiarity with modern DevOps practices, including CI/CD pipelines, infrastructure as code, and monitoring.
• Demonstrated problem-solving abilities, especially in high-stakes, production environments.
• Passion for staying ahead of industry trends and continuously improving engineering processes.