{"id":773494,"url":"https://alion.io/job/genios-backend-engineer-india","title":"Backend Engineer (India)","company":{"id":674203,"name":"Genios","domain":"genios.network","url":"https://alion.io/company/genios","size_band":"1-10","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Rippling","truth_index":{"grade":"B","score":75,"open_postings":5,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-11-01T06:10:25Z"}},"role":"Backend","role_family":"Backend","seniority":"middle","employment_type":"full_time","work_mode":"hybrid","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":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"GraphQL","optional":false},{"name":"Kubernetes","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"Redis","optional":false},{"name":"Rest API","optional":false},{"name":"AutoGen","optional":true},{"name":"CrewAI","optional":true},{"name":"LangChain","optional":true},{"name":"LangGraph","optional":true}],"status":"live","first_seen_at":"2026-02-05T22:56:40Z","employer_posted_date":"2026-02-05","last_verified_at":"2026-11-02T01:41:08Z","board_verified":true,"closed_at":null,"days_open":269,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":268},"description":"We are on a mission to build the AI-native platform for finance -a multi-agent system that reimagines how investment teams make decisions and empowers them to move faster, think deeper, and operate smarter. Our backend engineers are at the heart of this transformation, building the robust infrastructure and services that power intelligent workflows, turning fragmented financial data into actionable insights with the help of autonomous agents.\nWhat You’ll Do\nArchitect and develop scalable backend systems using Python and modern cloud-native tools.\nBuild APIs, orchestration layers, and data pipelines that support autonomous agents and real-time financial analytics.\nTranslate complex financial logic into clear, maintainable, and performant code.\nCollaborate with cross-functional teams-including ML, data, and product- to integrate LLMs, financial logic, and user workflows.\nOwn the performance, reliability, and maintainability of mission-critical systems.\nDrive best practices in architectural decisions, testing, devops practices, IaC and system observability.\nYou Might Be a Fit If You...\nBachelor's or Master's degree in Computer Science/Engineering or equivalent.\nHave 3-7 years of backend engineering experience \nHave built and scaled production-grade backend systems for data-intensive or real-time applications.\nAre excited about building intelligent systems with autonomous behavior, not just CRUD apps.\nHave strong proficiency in Python and experience building distributed backend systems.\nThink in abstractions and API contracts before diving into implementation, and have experience designing and consuming clean, well-structured interfaces (REST, GraphQL, or RPC).\nHave experience with containerization (Docker), orchestration (Kubernetes), and event-driven systems (e.g., Kafka).\nHave deep understanding of relational databases (e.g., PostgreSQL) and caching systems (e.g., Redis).\nHave a strong grasp of performance tuning, code quality, automated testing, CI/CD practices, and building systems that are secure, observable, and production-ready.\nEnjoy working on complex logic and domain modeling in high-stakes environments like fintech, trading, or enterprise SaaS.\nBonus Points\nExperience with AI frameworks, LLMs, or multi-agent orchestration platforms (e.g., LangGraph, CrewAI, AutoGen, Haystack, etc.).\nExposure to financial data modeling, investment workflows, or alternative data pipelines.\nWhy Join Us?\nWe're a fast-moving startup backed by Tier 1 VC building in a space ripe for reinvention. 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