{"id":3289581,"url":"https://alion.io/job/lumiq-sr-python-backend-engineer","title":"Sr Python Backend Engineer","company":{"id":679499,"name":"LumiQ","domain":"lumiqlearn.com","url":"https://alion.io/company/lumiqlearn","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":null},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["IN"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":80000,"max_usd":206000,"period":"year","method":"global_role_seniority_cell","sample_n":7767},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Dependency Injection","optional":false},{"name":"Docker","optional":false},{"name":"ETL/ELT","optional":false},{"name":"FastAPI","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Kubernetes","optional":false},{"name":"MySQL","optional":false},{"name":"Poetry","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"Swagger","optional":false},{"name":"RabbitMQ","optional":true}],"status":"live","first_seen_at":"2026-10-11T22:29:10Z","employer_posted_date":null,"last_verified_at":"2026-10-11T22:29:10Z","board_verified":false,"closed_at":null,"days_open":16,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":16},"description":"Who we are:LUMIQ is the leading Data and Analytics company in the Financial Services and Insurance (FSI) industry. We are trusted by the world's largest FSIs, including insurers, banks, AMCs, and NBFCs, to address their data \nchallenges. Our clients include 40+ enterprises with over $10B in deposits/AUM, collectively representing about 1B customers globally.\nOur expertise lies in creating next-gen data technology products to help FSI enterprises organize, manage, and effectively use data. We have consistently challenged the status quo, introducing many industry-firsts like the first enterprise data platform in Asia on cloud for a regulated entity.\nFounded in 2013, LUMIQ has now completed a decade of innovation, backed by Info Edge Ventures (a JV between Temasek Holdings of Singapore and Naukri) and US-based Season 2 Ventures.\nOur Culture:\nAt LUMIQ, we strive to create a community of passionate data professionals who aim to transcend the usual corporate dynamics. We offer you the freedom to ideate, commit, and navigate your career trajectory at your \nown pace. Culture of ownership empowerment to drive outcomes.\nOur culture encourages 'Tech Poetry' combining creativity and technology to create solutions that revolutionize industry. We trust our people to manage their responsibilities with minimal policy constraints. Our team is composed of the industry's brightest minds, from PhDs and engineers to industry specialists from Banking, Insurance, NBFCs, AMCs, who will challenge and inspire you to reach new heights.\nAbout the RoleWe are looking for a highly skilled Senior Backend Engineer to design, develop, and scale robust backend systems and APIs. You will be responsible for building high-performance backend services, data pipelines, and API integrations, ensuring they are secure, scalable, and maintainable.\nKey Responsibilities\nDesign, build, and maintain backend services and REST APIs using Python (3.7+) and FastAPI.\n\nImplement asynchronous processing, background tasks, and dependency injection within FastAPI.\n\nIntegrate OpenAPI/Swagger documentation for all backend endpoints.\n\nDesign and integrate RESTful APIs with frontend systems and third-party services, handling versioning, error responses, and edge cases.\n\nBuild and optimize data models in relational databases like PostgreSQL and MySQL, and work with NoSQL systems like MongoDB.\n\nDesign and maintain ETL pipelines for bulk data ingestion, transformation, validation, and deduplication to ensure master data integrity.\n\nWork on real-time data streaming pipelines using Apache Kafka or similar tools.\n\nDeploy, monitor, and scale services on cloud platforms like 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