Lead Backend Engineer

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.

Responsibilities

• 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.
• 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.

Requirements

• 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.

Pay

Weekday AI · Bengaluru, India · Full-time · Posted 2026-11-05

Salary: INR 4,500,000–5,500,000

• 𝗦𝗮𝗹𝗮𝗿𝘆 𝗿𝗮𝗻𝗴𝗲: 𝗥𝘀 𝟰𝟱𝟬𝟬𝟬𝟬𝟬 - 𝗥𝘀 𝟱𝟱𝟬𝟬𝟬𝟬𝟬 (𝗶𝗲 𝗜𝗡𝗥 𝟰𝟱-𝟱𝟱 𝗟𝗣𝗔)
• Experience: 7+ yrs

Description

• 𝗧𝗵𝗶𝘀 𝗿𝗼𝗹𝗲 𝗶𝘀 𝗳𝗼𝗿 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗪𝗲𝗲𝗸𝗱𝗮𝘆'𝘀 𝗰𝗹𝗶𝗲𝗻𝘁𝘀
• Location: Bengaluru, Karnataka, India

Apply

[Apply at Weekday AI](https://apply.workable.com/weekday-1/j/C92F0C7A63/apply)