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 Platform

Experience : 8 to 14 Years

Location : Bangalore / Pune

Employment Type :

- Full-time

Stack :

- Node.js
- TypeScript
- Distributed Systems
- Multi-Tenant SaaS

About 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 architectures

What 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 solid 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 behavior.
- Socket management and connection pooling.
- Performance optimization for long-running services.




- TypeScript at scale with strong type-system understanding.

Database Design & Performance Engineering ? Bar-Raising :

- We expect strong database architects not ORM-only developers.

Expected Expertise :

- Advanced relational database design.
- Query planning and execution analysis.
- Indexing strategies :
- B-tree.
- Composite indexes.
- Partial indexes.
- 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 platforms.

Expected 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 systems.

Observability & 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 deployments.

Nice 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 organizations.

The 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)

📌 Interesting Job Opportunity: Staff Engineer - Backend Platform (Pune)
🏢 Prismforce
📍 Pune