Staff Engineer - Backend Platform

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 organizations.Our AI-powered platform enables enterprises to improve operational agility, accelerate decisions, and increase profitability through intelligent workforce and talent infrastructure.We are building large-scale, AI-native SaaS systems that operate across geographies, languages, tenants, and enterprise-scale workloads.Job 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 scale.This 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.You will drive architecture decisions, platform scalability, database strategy, observability standards, and performance optimization across distributed systems.You are expected to independently own applications end-to-end from architecture and design reviews to production reliability and engineering excellence.This is a deeply technical leadership role.We are looking for hands-on engineers who can solve hard systems problems, guide architectural direction, and elevate engineering quality across teams.What 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 direction.Core Technical Expectations : Distributed Systems & Scalable SaaS Architecture Bar-Raising : This is the primary evaluation area for the role.We are looking for engineers who have built and operated systems at scale not just contributed features.Expected 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 equivalent.Node.js Runtime & Systems Engineering Bar-Raising : Deep runtime understanding is mandatory.Expected Expertise : - Node.js 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 Role : S