Tech Lead/ Staff Engineer- Fullstack Agentic ai

Prismforce Private Limited; Bengaluru; On-site; INR 2,000,000 - 3,000,000; Full time

Job summary

Prismforce Private Limited is seeking a Staff Engineer to lead the architecture and engineering of high-throughput SaaS platforms at a global scale. The ideal candidate will possess extensive experience in building mission-critical backend systems and will take ownership of applications from design to production.

This technical leadership role demands hands-on expertise in system design, scalability strategies, and performance optimization. Candidates should have a strong track record of mentoring and guiding engineers to elevate overall engineering quality.

Qualifications

• 8–14 years of experience in backend systems design.
• Strong understanding of distributed systems.
• Hands-on experience with Node.js and TypeScript.

Responsibilities

• Lead the architecture of high-throughput backend platforms.
• Design reliable multi-tenant systems.
• Drive application monitoring and production operations.

Skills

High-availability architecture

Event-driven systems

Load balancing

Distributed caching

Database partitioning

TypeScript

Education

Relevant engineering degree

Tools

Docker

Kubernetes

MongoDB

Job description

Job Title

Staff Engineer

Experience

8–14 Years

Location

Not Specified

Employment Type

Full-time

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 You’ll 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.

Distributed Systems & Scalable SaaS Architecture

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‑availability and fault‑tolerant architectures
• Multi‑region and geo‑distributed deployments
• 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

Deep runtime understanding is mandatory.

Expected Expertise

• Worker threads, clustering, async execution models
• CPU and memory profiling in production systems
• Heap snapshots, garbage collection analysis
• 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

We expect strong database architects — not ORM‑only developers.

Expected Expertise

• Query planning and execution analysis
• Indexing strategies
  • B‑tree
  • Composite indexes
  • Partial indexes
  • Covering indexes
• Database partitioning and sharding
• Multi‑tenant data isolation models
• 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

Expected Expertise (additional)

• 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
• Security and tenant isolation awareness
• Designing geo‑aware and region‑aware systems

Observability & Production Excellence

Expected Expertise

• Distributed tracing and observability
• 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

• Experience with agentic workflows or orchestration systems
• Vector databases and semantic retrieval systems
• Real‑time transcript or speech‑processing systems
• Open‑source contributions or technical writing
• Prior experience in enterprise SaaS or platform engineering organizations

The Kind of Engineer We’re 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.