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๐ฆ๐ฎ๐น๐ฎ๐ฟ๐ ๐ฟ๐ฎ๐ป๐ด๐ฒ: ๐ฅ๐ ๐ฐ๐ฑ๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ - ๐ฅ๐ ๐ฑ๐ฑ๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ (๐ถ๐ฒ ๐๐ก๐ฅ ๐ฐ๐ฑ-๐ฑ๐ฑ ๐๐ฃ๐)
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.
Requirements
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โขDesign and develop high-performance backend architectures using Python and related frameworks.
โขLead the implementation of AI and machine learning services, ensuring seamless integration with existing systems.
โขMentor and coach a growing team of backend developers, fostering a culture of ownership and continuous improvement.
โขCollaborate with frontend engineers to define API contracts, data contracts, and performance requirements.
โขOwn the CI/CD pipeline, containerization, and deployment strategies across multiple cloud environments.
โขOptimize database schemas, query performance, and data storage solutions for large-scale data workloads.
โขEstablish and enforce coding standards, security best practices, and testing methodologies.
โขConduct regular code reviews, design discussions, and sprint planning sessions.
โขStay current with emerging technologies and evaluate their potential impact on the product roadmap.
โขProvide technical expertise in incident response and post-incident analysis to improve system resilience.
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โข7+ years of professional experience building scalable backend systems.
โขDeep expertise in Python, Django/Flask, and asynchronous programming.
โขProven track record of deploying AI/ML services at production scale.
โขStrong leadership skills with experience managing a cross-functional engineering team.
โขMastery of microservices architecture, Docker, Kubernetes, and cloud platforms (AWS/GCP/Azure).
โขSolid understanding of database technologies (SQL, NoSQL) and data modeling best practices.
โขExcellent communication skills, capable of translating complex technical concepts to non-technical stakeholders.
โขFamiliarity with modern DevOps practices, including CI/CD pipelines, infrastructure as code, and monitoring.
โขDemonstrated problem-solving abilities, especially in high-stakes, production environments.
โขPassion for staying ahead of industry trends and continuously improving engineering processes.