{"id":69978,"url":"https://alion.io/job/flex-senior-backend-engineer","title":"Senior Backend Engineer","company":{"id":24073,"name":"FlexAI","domain":"flex.ai","url":"https://alion.io/company/flexai","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Rippling","truth_index":{"grade":"B","score":75,"open_postings":7,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Backend","role_family":"Backend","seniority":"senior","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":{"min_usd":18000,"max_usd":42000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":139},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"Cassandra","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"DynamoDB","optional":false},{"name":"Go","optional":false},{"name":"gRPC","optional":false},{"name":"Kubernetes","optional":false},{"name":"Platform Engineering","optional":false},{"name":"PostgreSQL","optional":false},{"name":"PyTorch","optional":false},{"name":"Redis","optional":false},{"name":"Rest API","optional":false},{"name":"TensorFlow","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"GCP","optional":true},{"name":"Grafana","optional":true},{"name":"OpenTelemetry","optional":true},{"name":"Prometheus","optional":true},{"name":"Python","optional":true},{"name":"SQL","optional":true}],"status":"live","first_seen_at":"2026-01-27T11:34:07Z","employer_posted_date":"2026-01-27","last_verified_at":"2026-10-17T18:28:04Z","board_verified":true,"closed_at":null,"days_open":263,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":262},"description":"About FlexAI\nBuild and Deploy AI the right way, anywhere.\nThe FlexAI Compute Infrastructure Platform provides an \"end-to-end AI compute layer\" for running and managing workloads across any cloud, any GPU, and any deployment model (public, hybrid, or on-prem). It brings together \"1-click simplicity\" for users with \"enterprise-grade orchestration, security, and automation\" under the hood.\nFounded byBrijesh Tripathi, who brings experience from Nvidia, Apple, Tesla, Intel and Zoox, FlexAI is notjustbuilding a product - we’re shaping the future of AI. Our teams are strategically distributed across Silicon Valley and Bengaluru, united by a shared mission: to deliver more compute with less complexity.\nIf you're passionate about shaping the future of artificial intelligence, driving innovation, and contributing to a sustainable and inclusive AI ecosystem,FlexAI is the place for you !\n Role Overview\nFlexAI is looking for a Senior Backend Engineer (Infrastructure & AI Platform) with deep Golang expertise to architect and build the core backend systems powering our next-generation AI compute and PaaS platform. This role sits at the intersection of distributed systems, cloud infrastructure, and AI platform engineering - enabling large-scale model training, inference, and orchestration across heterogeneous compute. This is not a traditional backend role; you will be building platform-grade systems that support AI runtimes, scheduling, resource orchestration, and multi-tenant cloud infrastructure.\nAs a Senior Backend Engineer, you'll drive backend architecture, scale platform services, and build high-performance infrastructure components that power AI workloads in production environments - influencing how the platform evolves from Beta to enterprise-grade deployment. Expect high ownership and technical autonomy in a research-driven, deep-tech environment - not SaaS CRUD apps.\nWhat Makes This Role Unique at FlexAI\nBuild backend systems powering next-gen AI compute infrastructure (not SaaS CRUD apps)\nWork on deeply technical problems across AI runtime, orchestration, and distributed infrastructure\nDirect influence on architecture as the platform scales from Beta to enterprise-grade deployment\nHigh ownership and technical autonomy in a research-driven, deep-tech environment\nWhat You'll Do\nCore Platform & Infrastructure Backend:\nArchitect and develop high-performance Golang services for FlexAI's AI PaaS and infrastructure platform\nBuild internal APIs powering model deployment, job scheduling, and compute lifecycle management\nDevelop components interfacing with GPU/compute infrastructure and AI runtimes\nDistributed Systems & Scalability:\nDesign and scale microservices and event-driven systems for high-throughput AI workloads\nOptimize for low latency, high concurrency, and fault tolerance\nImplement service-to-service communication (gRPC/REST, message queues, async pipelines)\nDrive reliability, observability, and resilience across services\nAI Platform Integration:\nCollaborate with AI/ML and Runtime teams to integrate systems with training pipelines, inference infrastructure, experimentation workflows, and dataset/artifact management\nEnable orchestration across cloud and on-prem environments\nBuild abstractions that simplify AI infrastructure consumption\nCloud-Native & Platform Engineering:\nDesign cloud-native, Kubernetes-native services\nWork with DevOps/SRE on CI/CD, deployment automation, and scalability\nContribute to architecture decisions for multi-region, multi-cloud infrastructure\nImprove monitoring, logging, and diagnostics\nTechnical Leadership:\nLead architecture reviews and set engineering standards\nMentor engineers and guide complex problem-solving\nDrive long-term roadmap for backend infrastructure and AI platform capabilities\nPartner with Product, Runtime, and Infra leadership to translate requirements into scalable systems \nTech Stack (Indicative)\nLanguages: Golang (Primary), Python (Secondary)\nInfrastructure:Kubernetes, Docker, Cloud (AWS/GCP/Azure)\nArchitecture:Microservices, gRPC, Event-driven systems\nData: SQL + NoSQL databases, caching, streaming systems\nObservability: Prometheus, Grafana, OpenTelemetry (or similar)\nWhat You'll Need to Be Successful\nCore Engineering Experience:\n8+ years of backend or infrastructure engineering experience\nExpert-level proficiency in Golang (must-have, heavy hands-on)\nStrong experience building production-grade distributed systems\nProven track record working on infrastructure platforms, PaaS, or deep-tech systems\nInfrastructure & Systems:\nDeep understanding of cloud-native architectures and containerized environments\nStrong experience with Kubernetes, Docker, and cluster orchestration\nFamiliarity with compute scheduling, resource management, or platform runtimes is a strong plus\nDatabases & Data Systems:\nExperience with distributed databases (PostgreSQL, Cassandra, DynamoDB, etc.)\nStrong understanding of caching, queues, and streaming systems (Redis, Kafka, etc.)\nAI / Platform Exposure (Highly Preferred):\nExperience on AI/ML platforms, model infrastructure, or data platforms\nFamiliarity with ML pipelines, inference systems, or GPU-backed workloads\nExposure to PyTorch, TensorFlow infrastructure, or model serving systems is a plus\nIdeal Candidate Profile (Who Will Thrive Here)\nInfra-first backend engineers (not just API developers)\nEngineers from companies building: AI infra, cloud platforms, developer platforms, or deep-tech systems\nStrong systems thinkers who enjoy low-level performance, scalability, and architecture challenges\nStartup-minded builders comfortable operating in ambiguous, high-ownership 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