{"id":3817809,"url":"https://alion.io/job/weekday-lead-backend-engineer","title":"Lead Backend Engineer","company":{"id":7097,"name":"Weekday","domain":"weekday.works","url":"https://alion.io/company/weekday","size_band":"51-200","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"B","score":81,"open_postings":100,"ghost_share":0,"stale_share":0.98,"repost_share":0,"time_to_fill_p50_days":6,"computed_at":"2026-11-07T05:47:08Z"}},"role":"Backend","role_family":"Backend","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Django","optional":false},{"name":"Docker","optional":false},{"name":"Flask","optional":false},{"name":"GCP","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-11-05T16:44:12Z","employer_posted_date":"2026-11-05","last_verified_at":"2026-11-07T05:09:13Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"'\n: - ( - )\nExperience: 7+ yrs\nLocation: Bengaluru, Karnataka, India\nAs 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.\nRequirements\nDesign and develop high-performance backend architectures using Python and related frameworks.\nLead the implementation of AI and machine learning services, ensuring seamless integration with existing systems.\nMentor and coach a growing team of backend developers, fostering a culture of ownership and continuous improvement.\nCollaborate with frontend engineers to define API contracts, data contracts, and performance requirements.\nOwn the CI/CD pipeline, containerization, and deployment strategies across multiple cloud environments.\nOptimize database schemas, query performance, and data storage solutions for large-scale data workloads.\nEstablish and enforce coding standards, security best practices, and testing methodologies.\nConduct regular code reviews, design discussions, and sprint planning sessions.\nStay current with emerging technologies and evaluate their potential impact on the product roadmap.\nProvide technical expertise in incident response and post-incident analysis to improve system resilience.\n7+ years of professional experience building scalable backend systems.\nDeep expertise in Python, Django/Flask, and asynchronous programming.\nProven track record of deploying AI/ML services at production scale.\nStrong leadership skills with experience managing a cross-functional engineering team.\nMastery of microservices architecture, Docker, Kubernetes, and cloud platforms (AWS/GCP/Azure).\nSolid understanding of database technologies (SQL, NoSQL) and data modeling best practices.\nExcellent communication skills, capable of translating complex technical concepts to non-technical stakeholders.\nFamiliarity with modern DevOps practices, including CI/CD pipelines, infrastructure as code, and monitoring.\nDemonstrated problem-solving 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