{"id":2317597,"url":"https://alion.io/job/zenteiq-backend-engineer","title":"Backend Engineer","company":{"id":1338,"name":"ZenteiQ","domain":"zenteiq.ai","url":"https://alion.io/company/zenteiq-ai","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Keka","truth_index":null},"role":"Backend","role_family":"Backend","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Alembic","optional":false},{"name":"Amazon S3","optional":false},{"name":"Apache Kafka","optional":false},{"name":"Celery","optional":false},{"name":"CI/CD","optional":false},{"name":"Configuration Management","optional":false},{"name":"Docker","optional":false},{"name":"FastAPI","optional":false},{"name":"GCP","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Google GKE","optional":false},{"name":"gRPC","optional":false},{"name":"Kubernetes","optional":false},{"name":"Mypy","optional":false},{"name":"OpenTelemetry","optional":false},{"name":"pgvector","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Prometheus","optional":false},{"name":"Pydantic","optional":false},{"name":"Pytest","optional":false},{"name":"Python","optional":false},{"name":"Redis","optional":false},{"name":"Rest API","optional":false},{"name":"SQL","optional":false},{"name":"SQLAlchemy","optional":false},{"name":"Edge AI","optional":true},{"name":"HPC","optional":true},{"name":"LangChain","optional":true},{"name":"LangGraph","optional":true},{"name":"LLM","optional":true},{"name":"Model Context Protocol","optional":true}],"status":"live","first_seen_at":"2026-10-12T04:06:06Z","employer_posted_date":"2026-10-12","last_verified_at":"2026-10-12T18:03:01Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"About the Role\nWe're looking for a passionate Backend Engineer to build and scale the backend systems that power our AI platform for engineering simulation. You'll work on production-grade APIs,distributed microservices, event-driven architectures, durable long-running workflows, and cloud-native infrastructure.\nIt's a new platform, built from the first commit. This role is ideal for engineers who enjoy solving\ncomplex backend problems, building highly scalable systems, and taking ownership of services\nfrom design to production. You'll collaborate closely with ML engineers, simulation engineers,\nand platform engineers to build reliable backend services capable of handling high-throughput\nAI and simulation workloads in a fast-paced startup environment.\nWhat You'll Build\nProduction-grade REST and gRPC APIs using FastAPI\nDistributed microservices powering AI and simulation workflows\nDurable, long-running workflows using Temporal\nEvent-driven systems using Kafka or Pub/Sub\nScalable PostgreSQL data models, including vector search\nCloud-native, observable services on Kubernetes\nKey Responsibilities\nBackend Development\nDesign, develop, and maintain REST APIs (FastAPI) and gRPC services, contract-\nfirst\nBuild modular, reusable, type-safe, and well-tested backend services\nDesign PostgreSQL schemas with proper indexing, constraints, and migrations, and\noptimize queries\nBuild durable, long-running workflows using Temporal: workflows that run for hours,\nwait for human input, and resume after failures\nBuild asynchronous processing using Kafka, Celery, Redis, or Airflow\nIntegrate backend services with storage such as GCS/S3 and internal platform\nservices\nDistributed Systems\nBuild resilient systems with retries, dead-letter queues, idempotency, and failure\nrecovery\nDesign stateless, horizontally scalable services with both synchronous and\nasynchronous communication\nKeep each customer's data isolated at every layer of a multi-tenant platform\nPlatform & Cloud\nWork with GCP services such as GKE, Cloud SQL, Cloud Storage, and Pub/Sub,\nand with PostgreSQL run in our own containers on Kubernetes\nImplement caching strategies using Redis\nReliability & Observability\nImplement structured logging and instrument services with Prometheus and\nOpenTelemetry.\nImprove reliability through health checks, readiness probes, graceful shutdowns, and\nfault tolerance.\nParticipate in production debugging, incident response, and performance optimization.\nRequired Skills\nBackend Engineering\n4+ years of professional backend development experience\nStrong Python skills, including async programming (async/await, concurrency,\nbackground workers) with FastAPI\nExperience with the modern Python service stack: Pydantic, SQLAlchemy (async),\nAlembic, pytest, and mypy\nSolid REST and gRPC API design, contract-first (OpenAPI, protobuf, JSON Schema)\nExperience with PostgreSQL, database design, and query optimization; familiarity with vector databases such as pgvector\nGood understanding of distributed systems and event-driven architectures, with\nKafka or Google Pub/Sub\nUnderstanding of multi-tenant system design\nExperience with Redis for caching, task queues, or rate limiting\nCloud & DevOps\nExperience with Docker and deploying applications on Kubernetes (GKE preferred)\nFamiliarity with CI/CD pipelines (GitHub Actions preferred)\nUnderstanding of rolling deployments, rollbacks, secrets management, and\nconfiguration management.\nGood to Have\nExperience with Temporal or other workflow orchestration tools\nExperience with engineering simulation or physics: CAE tools, CFD or thermal\nanalysis, solvers such as OpenFOAM or Ansys, or HPC\nExperience with the transactional outbox pattern and change data capture\n(Debezium)\nExperience with MCP or LLM agent frameworks such as LangGraph\nExperience with NoSQL and graph databases\nWhat We're Looking For\nWe value engineers who:\nTake ownership from design to production\nBuild scalable, reliable, observable, production-ready systems\nBring strong debugging, problem-solving, and system design skills\nMake pragmatic engineering decisions with long-term maintainability in mind\nCommunicate clearly and work independently in a fast-moving startup\nAre eager to learn new technologies and solve challenging backend problems\nWhy Join Us?\nBuild cutting-edge AI infrastructure on a new platform, from the first commit\nWork on products that operate at scale\nHigh ownership, minimal bureaucracy, and real influence on architecture\nCollaborate with experienced Backend, ML, Platform, and Simulation Engineers\nContinuous learning through mentorship and challenging engineering problems","description_format":"text","description_chars":4613,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Continuous learning"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Machine Learning","STEM Education","Simulation & Digital Twin Software","AI for Science"],"lifecycle":[{"event":"open","at":"2026-10-12T05:12:45Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":19,"reasons":["conf:1","win:early"],"computed_at":"2026-10-12T06:55:09Z"},"pay":null,"html_url":"https://alion.io/job/zenteiq-backend-engineer","json_url":"https://alion.io/job/zenteiq-backend-engineer.json","meta":{"generated_at":"2026-10-12T19:51:44Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":32158,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-13T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":1338},"rest":"https://alion.io/mcp/rest/get_company?id=1338"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fzenteiq-backend-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fzenteiq-backend-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fzenteiq-backend-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/zenteiq-backend-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fzenteiq-backend-engineer"}]}