{"id":1229895,"url":"https://alion.io/job/prismforce-pvt-ltd-staff-engineer","title":"Staff Engineer","company":{"id":9203,"name":"Prismforce","domain":"prismforce.com","url":"https://alion.io/company/prismforce","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Backend","role_family":"Backend","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India","Pune, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":30000,"max_usd":80000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":20},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Node JS","optional":false},{"name":"SLI/SLO/SLA","optional":false},{"name":"TypeScript","optional":false},{"name":"Agentic Workflows","optional":true},{"name":"AI Agents","optional":true},{"name":"Apache Kafka","optional":true},{"name":"API Gateway","optional":true},{"name":"C","optional":true},{"name":"CI/CD","optional":true},{"name":"Docker","optional":true},{"name":"Grafana","optional":true},{"name":"JavaScript","optional":true},{"name":"Kubernetes","optional":true},{"name":"libuv","optional":true},{"name":"LLM","optional":true},{"name":"OpenTelemetry","optional":true},{"name":"Platform Engineering","optional":true},{"name":"Prometheus","optional":true},{"name":"RabbitMQ","optional":true},{"name":"Redis","optional":true},{"name":"Sass","optional":true},{"name":"Service Mesh","optional":true}],"status":"live","first_seen_at":"2026-09-22T04:13:31Z","employer_posted_date":null,"last_verified_at":"2026-09-22T04:13:31Z","board_verified":false,"closed_at":null,"days_open":21,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":21},"description":"Role : SSDE / Staff Engineer Backend Platform : \n\nWho are We? : \n\nPrismforce is a Vertical SaaS company transforming the Talent Supply Chain for global Technology, Engineering, and IT Services organizations.\n\nOur AI-powered platform enables enterprises to improve operational agility, accelerate decisions, and increase profitability through intelligent workforce and talent infrastructure.\n\nWe are building large-scale, AI-native SaaS systems that operate across geographies, languages, tenants, and enterprise-scale workloads.\n\nJob Title : Staff Engineer Backend Platform\n\nExperience : 8 to 14 Years\n\nLocation : Bangalore / Pune\n\nEmployment Type : \n\n- Full-time\n\nStack : \n\n- Node.js\n\n- TypeScript\n\n- Distributed Systems\n\n- Multi-Tenant SaaS\n\nAbout The Role : \n\nWe are looking for a highly experienced Staff Engineer to lead the architecture and engineering of high-throughput, high-availability, multi-tenant SaaS platforms operating at global scale.\n\nThis role is for engineers who have designed and owned mission-critical backend systems handling large-scale concurrency, geo-distributed traffic, multilingual workloads, and enterprise-grade reliability requirements.\n\nYou will drive architecture decisions, platform scalability, database strategy, observability standards, and performance optimization across distributed systems.\n\nYou are expected to independently own applications end-to-end from architecture and design reviews to production reliability and engineering excellence.\n\nThis is a deeply technical leadership role.\n\nWe are looking for hands-on engineers who can solve hard systems problems, guide architectural direction, and elevate engineering quality across teams.\n\nWhat Were Looking For Priority Order : \n\n- Must Have Distributed Systems & Platform Architecture : Proven ownership of scalable, highly available SaaS systems\n\n- Must Have CS Fundamentals & Runtime Internals : Strong expertise in concurrency, memory, CPU profiling, runtime behavior\n\n- Must Have Database Design & Performance : Advanced schema design, indexing, partitioning, query optimization\n\n- Must Have Multi-Tenant SaaS Architecture : Tenant isolation, scalability, geo-distribution, multilingual systems\n\n- Strong Working Knowledge Reliability & Observability : Production monitoring, tracing, incident handling, SLO-driven systems\n\n- Good to Have AI/LLM Infrastructure : Exposure to AI-native backend systems or agentic architectures\n\nWhat Youll Do : \n\n- Architect and own high-throughput, high-availability backend platforms serving enterprise SaaS workloads.\n\n- Design globally scalable multi-tenant and multi-region systems with strong reliability guarantees.\n\n- Drive application ownership end-to-end architecture, implementation, deployment, scalability, monitoring, and production operations.\n\n- Build resilient distributed systems with asynchronous event-driven architectures.\n\n- Lead platform-level decisions around scalability, caching, throughput optimization, resiliency, and fault tolerance.\n\n- Diagnose and resolve CPU bottlenecks, memory leaks, event loop blocking, connection exhaustion, and distributed system performance issues.\n\n- Define database architecture standards including indexing strategies, partitioning, sharding, replication, schema evolution, and query optimization.\n\n- Drive engineering excellence across observability, testing, logging, tracing, CI/CD, and operational readiness.\n\n- Lead high-level system design discussions and architectural reviews across teams.\n\n- Mentor engineers on system thinking, debugging, scalability, and production-grade engineering practices.\n\n- Collaborate with product and platform teams to design scalable multilingual and geo-distributed SaaS applications.\n\n- Influence long-term platform strategy and technical direction.\n\nCore Technical Expectations : \n\nDistributed Systems & Scalable SaaS Architecture ? Bar-Raising : \n\nThis is the primary evaluation area for the role.\n\nWe are looking for engineers who have built and operated systems at scale not just contributed features.\n\nExpected Expertise : \n\n- High-throughput distributed systems design.\n\n- High-availability and fault-tolerant architectures.\n\n- Multi-region and geo-distributed deployments.\n\n- Multi-tenant SaaS architecture patterns.\n\n- Event-driven systems and asynchronous processing.\n\n- Horizontal scaling strategies.\n\n- Load balancing and traffic distribution.\n\n- CAP theorem and consistency trade-offs.\n\n- Resilience engineering and graceful degradation.\n\n- Circuit breakers, retries, backpressure handling.\n\n- Distributed caching and eventual consistency.\n\n- API gateway and service mesh fundamentals.\n\n- Queueing systems : Kafka, RabbitMQ, or equivalent.\n\nNode.js Runtime & Systems Engineering ? Bar-Raising : \n\nDeep runtime understanding is mandatory.\n\nExpected Expertise : \n\n- Node.js internals : event loop, libuv, V8 heap architecture.\n\n- Worker threads, clustering, async execution models.\n\n- Event loop blocking diagnosis.\n\n- CPU and memory profiling in production systems.\n\n- Heap snapshots, garbage collection analysis.\n\n- Resource leak debugging.\n\n- Process lifecycle and OS-level system behavior.\n\n- Socket management and connection pooling.\n\n- Performance optimization for long-running services.\n\n- TypeScript at scale with strong type-system understanding.\n\nDatabase Design & Performance Engineering ? Bar-Raising : \n\n- We expect strong database architects not ORM-only developers.\n\nExpected Expertise : \n\n- Advanced relational database design.\n\n- Query planning and execution analysis.\n\n- Indexing strategies : \n\n1. B-tree.\n\n2. Composite indexes.\n\n3. Partial indexes.\n\n4. Covering indexes.\n\n- Database partitioning and sharding.\n\n- Multi-tenant data isolation models.\n\n- Read/write scaling strategies.\n\n- Replication and failover models.\n\n- Schema migrations and zero-downtime deployments.\n\n- MongoDB schema optimization and aggregation pipelines.\n\n- Redis caching patterns and cache invalidation strategies.\n\n- Data consistency and transaction management.\n\n- Performance tuning under large-scale workloads.\n\nHigh-Level Design & Architecture : \n\n- You should be comfortable driving architecture for large-scale enterprise platforms.\n\nExpected Expertise : \n\n- System decomposition and domain-driven design.\n\n- Service boundaries and communication patterns.\n\n- Scalability estimation and capacity planning.\n\n- Trade-off analysis across architecture choices.\n\n- Design documentation and RFC creation.\n\n- Production readiness reviews.\n\n- Reliability-first engineering mindset.\n\n- Security and tenant isolation awareness.\n\n- Designing multilingual SaaS platforms.\n\n- Designing geo-aware and region-aware systems.\n\nObservability & Production Excellence : \n\nExpected Expertise : \n\n- Distributed tracing and observability.\n\n- Prometheus, Grafana, OpenTelemetry.\n\n- Structured logging and correlation IDs.\n\n- Incident debugging and root-cause analysis.\n\n- Defining meaningful SLIs/SLOs.\n\n- On-call ownership and operational maturity.\n\n- CI/CD pipelines and deployment strategies.\n\n- Docker and Kubernetes production deployments.\n\nNice to Have : \n\n- AI/LLM platform integration experience.\n\n- Experience with agentic workflows or orchestration systems.\n\n- Vector databases and semantic retrieval systems.\n\n- Real-time transcript or speech-processing systems.\n\n- Infrastructure-as-code exposure.\n\n- Open-source contributions or technical writing.\n\n- Prior experience in enterprise SaaS or platform engineering organizations.\n\nThe Kind of Engineer Were Looking For : \n\n- You think in systems, trade-offs, and long-term scalability.\n\n- You naturally take ownership beyond your immediate module.\n\n- You can simplify complexity without oversimplifying the problem.\n\n- You are comfortable operating in ambiguity and high-growth environments.\n\n- You care deeply about performance, reliability, and maintainability.\n\n- You elevate engineering standards across teams through both execution and mentorship.\n\n- You balance pragmatism with architectural rigor.\n\n- You build platforms that other engineers love to work on.\nSkills\nNode.js, TypeScript, Distributed Systems, Backend Architecture, SASS, SaaS, System Design, API 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