Staff Engineer - Backend Development in Pune, भारत

Role : SSDE / Staff Engineer Backend Platform : Who are We? : Prismforce is a Vertical SaaS company transforming the Talent Supply Chain for global Technology, Engineering, and IT Services https://jobeax.com/link/CNVyjZJ8mREdNbU7 AI-powered platform enables enterprises to improve operational agility, accelerate decisions, and increase profitability through intelligent workforce and talent https://jobeax.com/link/gT0I8RrfHqCs7lpO are building large-scale, AI-native SaaS systems that operate across geographies, languages, tenants, and enterprise-scale https://jobeax.com/link/biwsXsmiJDy1BJXP Title : Staff Engineer Backend PlatformExperience : 8 to 14 YearsLocation : Bangalore / PuneEmployment Type : - Full-timeStack : - Node.js- TypeScript- Distributed Systems- Multi-Tenant SaaSAbout The Role : We 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 https://jobeax.com/link/qAYqbkLnnVqh7KFx 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 https://jobeax.com/link/Iu0fH0g5g0VPw8Qq will drive architecture decisions, platform scalability, database strategy, observability standards, and performance optimization across distributed https://jobeax.com/link/reInf3WklaDLmUVl are expected to independently own applications end-to-end from architecture and design reviews to production reliability and engineering https://jobeax.com/link/Cv5Gf2L1xrFr0UJv is a deeply technical leadership https://jobeax.com/link/NzNBeeaMsGA03ivk are looking for hands-on engineers who can solve hard systems problems, guide architectural direction, and elevate engineering quality across https://jobeax.com/link/DsWy1aheh2B4XnIt Were Looking For Priority Order : - Must Have Distributed Systems & Platform Architecture : Proven ownership of scalable, highly available SaaS systems- Must Have CS Fundamentals & Runtime Internals : Strong expertise in concurrency, memory, CPU profiling, runtime behavior- Must Have Database Design & Performance : Advanced schema design, indexing, partitioning, query optimization- Must Have Multi-Tenant SaaS Architecture : Tenant isolation, scalability, geo-distribution, multilingual systems- Strong Working Knowledge Reliability & Observability : Production monitoring, tracing, incident handling, SLO-driven systems- Good to Have AI/LLM Infrastructure : Exposure to AI-native backend systems or agentic architecturesWhat Youll Do : - Architect and own high-throughput, high-availability backend platforms serving enterprise SaaS workloads.- Design globally scalable multi-tenant and multi-region systems with strong reliability guarantees.- Drive application ownership end-to-end architecture, implementation, deployment, scalability, monitoring, and production operations.- Build resilient distributed systems with asynchronous event-driven architectures.- Lead platform-level decisions around scalability, caching, throughput optimization, resiliency, and fault tolerance.- Diagnose and resolve CPU bottlenecks, memory leaks, event loop blocking, connection exhaustion, and distributed system performance issues.- Define database architecture standards including indexing strategies, partitioning, sharding, replication, schema evolution, and query optimization.- Drive engineering excellence across observability, testing, logging, tracing, CI/CD, and operational readiness.- Lead high-level system design discussions and architectural reviews across teams.- Mentor engineers on system thinking, debugging, scalability, and production-grade engineering practices.- Collaborate with product and platform teams to design scalable multilingual and geo-distributed SaaS applications.- Influence long-term platform strategy and technical https://jobeax.com/link/qItLNSkKK2lZAZ4b Technical Expectations : Distributed Systems & Scalable SaaS Architecture ? Bar-Raising : This is the primary evaluation area for the https://jobeax.com/link/NzNBeeaMsGA03ivk are looking for engineers who have built and operated systems at scale not just contributed https://jobeax.com/link/ODQUGA0AEZusffJW Expertise : - High-throughput distributed systems design.- High-availability and fault-tolerant architectures.- Multi-region and geo-distributed deployments.- Multi-tenant SaaS architecture patterns.- Event-driven systems and asynchronous processing.- Horizontal scaling strategies.- Load balancing and traffic distribution.- CAP theorem and consistency trade-offs.- Resilience engineering and graceful degradation.- Circuit breakers, retries, backpressure handling.- Distributed caching and eventual consistency.- API gateway and service mesh fundamentals.- Queueing systems : Kafka, RabbitMQ, or https://jobeax.com/link/OMlSxZj15nNT4r2g Runtime & Systems Engineering ? Bar-Raising : Deep runtime understanding is https://jobeax.com/link/ZobGKvP5nBaiDYPj Expertise : - https://jobeax.com/link/JSd7UYCSg572jJDY internals : event loop, libuv, V8 heap architecture.- Worker threads, clustering, async execution models.- Event loop blocking diagnosis.- CPU and memory profiling in production systems.- Heap snapshots, garbage collection analysis.- Resource leak debugging.- Process lifecycle and OS-level system behavior.- Socket management and connection pooling.- Performance optimization for long-running services.- TypeScript at scale with strong type-system https://jobeax.com/link/Rn63SRxFtgeJZ4cP Design & Performance Engineering ? Bar-Raising : - We expect strong database architects not ORM-only https://jobeax.com/link/kUBYA51V3P1isEaW Expertise : - Advanced relational database design.- Query planning and execution analysis.- Indexing strategies : 1. B-tree.2. Composite indexes.3. Partial indexes.4. Covering indexes.- Database partitioning and sharding.- Multi-tenant data isolation models.- Read/write scaling strategies.- Replication and failover models.- Schema migrations and zero-downtime deployments.- MongoDB schema optimization and aggregation pipelines.- Redis caching patterns and cache invalidation strategies.- Data consistency and transaction management.- Performance tuning under large-scale workloads.High-Level Design & Architecture : - You should be comfortable driving architecture for large-scale enterprise https://jobeax.com/link/RHct40r76IpdzIl0 Expertise : - System decomposition and domain-driven design.- Service boundaries and communication patterns.- Scalability estimation and capacity planning.- Trade-off analysis across architecture choices.- Design documentation and RFC creation.- Production readiness reviews.- Reliability-first engineering mindset.- Security and tenant isolation awareness.- Designing multilingual SaaS platforms.- Designing geo-aware and region-aware https://jobeax.com/link/qvN8LtPkrVIpJqZP & Production Excellence : Expected Expertise : - Distributed tracing and observability.- Prometheus, Grafana, OpenTelemetry.- Structured logging and correlation IDs.- Incident debugging and root-cause analysis.- Defining meaningful SLIs/SLOs.- On-call ownership and operational maturity.- CI/CD pipelines and deployment strategies.- Docker and Kubernetes production https://jobeax.com/link/sCPt9em9EjbcSkGa to Have : - AI/LLM platform integration experience.- Experience with agentic workflows or orchestration systems.- Vector databases and semantic retrieval systems.- Real-time transcript or speech-processing systems.- Infrastructure-as-code exposure.- Open-source contributions or technical writing.- Prior experience in enterprise SaaS or platform engineering https://jobeax.com/link/OthXxpleMQw1nY5z Kind of Engineer Were Looking For : - You think in systems, trade-offs, and long-term scalability.- You naturally take ownership beyond your immediate module.- You can simplify complexity without oversimplifying the problem.- You are comfortable operating in ambiguity and high-growth environments.- You care deeply about performance, reliability, and maintainability.- You elevate engineering standards across teams through both execution and mentorship.- You balance pragmatism with architectural rigor.- You build platforms that other engineers love to work on. (ref:hirist.tech)