Senior Backend Engineer

A reputed company that offers a platform to effortlessly design, construct, and navigate 3D spaces is looking to hire a Senior Backend Engineer for itz SAAS activities.

Industry - IT Function - SAAS Work Experience: 5-8 yrs Work Location - Bengaluru Mode: ONSITE Qualification/Education: Graduation Salary: 20-25 LPA Age Limit: 32 yrs Notice Period - 30 days

Preferred Skills - AWS, NodeJS, RESTful APIs, NoSQL Preferred Industries/Companies - SaaS

About The Role

The firm looking for a deeply technical, hands-on Senior Backend Engineer - someone who can architect systems in the morning, write production-grade code in the afternoon, and scale infrastructure to power millions of 3D and XR experiences.

You will own the entire backend ecosystem: architecture, APIs, databases, infrastructure, performance, and reliability. This is not an oversight or management-only position - it is a builder’s role where you design, code, deploy, and optimize mission-critical systems.

You will make foundational decisions, build distributed systems that handle massive 3D processing workloads, and lead our backend engineering direction as we scale globally.

What You’ll Build: 1. System Architecture & Design

Architect highly scalable backend systems from the ground up Define technology choices: frameworks, databases, queues, caching layers Evaluate microservices vs monoliths based on product stage Design REST, GraphQL, and real-time WebSocket APIs Build event-driven systems for asynchronous processing Architect multi-tenant systems with strict data isolation Maintain architectural documentation and technical specs

2. Core Backend Services

Build high-performance APIs for 3D content, XR experiences, analytics, and user interactions Create 3D asset processing pipelines for uploads, conversions, and optimization Develop distributed job workers for CPU/GPU-intensive tasks Build authentication/authorization systems (RBAC) Implement billing, subscription, and usage metering Build secure webhook systems and third-party integration APIs Create real-time collaboration features via WebSockets/SSE

3. Data Architecture & Databases

Design scalable schemas for 3D metadata, XR sessions, and analytics Model complex product catalogs with variants and hierarchies Implement Redis-based caching strategies Build search and indexing systems (Elasticsearch/Algolia) Architect ETL pipelines and data warehouses Implement sharding, partitioning, and replication strategies Design backup, restore, and disaster recovery workflows

4. Scalability & Performance

Build systems designed for 10x 100x traffic growth Implement load balancing, autoscaling, and distributed processing Optimize API response times and database performance Implement global CDN delivery for heavy 3D assets Build rate limiting, throttling, and backpressure mechanisms Optimize storage and retrieval of large 3D files Profile and improve CPU, memory, and network performance

5. Infrastructure & DevOps

Architect AWS infrastructure (EC2, S3, Lambda, RDS, ElastiCache) Build CI/CD pipelines for automated deployments and rollbacks Use IaC tools (Terraform/CloudFormation) for infra provisioning Set up monitoring, logging, and alerting systems Use Docker + Kubernetes for container orchestration Implement security best practices for data, networks, and secrets Define disaster recovery and business continuity plans

6. Integration & APIs

Build integrations with Shopify, WooCommerce, Magento Design webhook systems for real-time events Build SDKs, client libraries, and developer tools Integrate payment gateways (Stripe, Razorpay) Implement SSO and OAuth for enterprise customers Define API versioning and lifecycle/deprecation strategies

7. Data Processing & Analytics

Build analytics pipelines for engagement, conversions, and XR performance Process high-volume event streams at scale Build data warehouses for BI and reporting Develop real-time dashboards and insights systems Implement analytics export pipelines and platform integrations Enable A/B testing and experimentation frameworks Build personalization and recommendation systems

Technical Stack:

1. Backend Languages & Frameworks

Primary: Node.js (Express, NestJS), Python (FastAPI, Django) Secondary: Go, Java/Kotlin (Spring) APIs: REST, GraphQL, gRPC

2. Databases & Storage

SQL: PostgreSQL, MySQL NoSQL: MongoDB, DynamoDB Caching: Redis, Memcached Search: Elasticsearch, Algolia Storage/CDN: AWS S3, CloudFront Queues: Kafka, RabbitMQ, AWS SQS

3. Cloud & Infrastructure:

Cloud: AWS (primary), GCP/Azure (nice to have) Compute: EC2, Lambda, ECS, EKS Infrastructure: Terraform, CloudFormation CI/CD: GitHub Actions, Jenkins, CircleCI Containers: Docker, Kubernetes

4. Monitoring & Operations

Monitoring: Datadog, New Relic, CloudWatch Logging: ELK Stack, CloudWatch Logs Error Tracking: Sentry, Rollbar APM tools

5. Security & Auth

Auth: JWT, OAuth 2.0, SAML Secrets: AWS Secrets Manager, Vault Security: Encryption (at rest/in transit), TLS/SSL, IAM

What We’re Looking For:

1. Must-Haves 5+ years in backend engineering with strong system design expertise Experience building scalable systems from scratch Expert-level proficiency in at least one backend stack (Node, Python, Go, Java) Deep understanding of distributed systems and microservices Strong SQL/NoSQL design skills with performance optimization Hands-on AWS cloud experience Ability to write high-quality production code daily Experience building and scaling RESTful APIs Strong understanding of caching, sharding, horizontal scaling Solid security and best-practice implementation experience Proven leadership and mentoring capability

2. Highly Desirable

Experience with large file processing (3D, video, images) Background in SaaS, multi-tenancy, or e-commerce Experience with real-time systems (WebSockets, streams) Knowledge of ML/AI infrastructure Experience with HA systems, DR planning Familiarity with GraphQL, gRPC, event-driven systems DevOps/infrastructure engineering background Experience with XR/AR/VR backend systems Open-source contributions or technical writing Prior senior technical leadership experience

Technical Challenges You’ll Solve:

Designing large-scale 3D asset processing pipelines Serving XR content globally with ultra-low latency Scaling from thousands to millions of daily requests Efficiently handling CPU/GPU-heavy workloads Architecting multi-tenancy with complete data isolation Managing billions of analytics events at scale Building future-proof APIs with backward compatibility

Mandatory Requirements

Minimum 5+ years in backend engineering with strong system design expertise Experience building scalable systems from scratch Expert-level proficiency in Node.js Deep understanding of distributed systems Strong NoSQL design skills Hands-on AWS cloud experience Proven leadership and mentoring capability

Preferred Requirements

Candidates from SAAS/Software/IT Services based startups or scaleup companies are preferred Why This Company:

Architectural Ownership: Build foundational systems from scratch Deep Technical Work: Solve distributed systems and scaling challenges Hands-On Impact: Design and code mission-critical infrastructure Diverse Problems: APIs, infra, data, ML, XR, asset processing Massive Scale Opportunity: Build systems for exponential growth Modern Stack and best practices Product Impact: Your architecture directly powers millions of users Leadership Opportunity: Shape engineering culture and direction Learning Environment: Stay at the forefront of backend engineering Backed by AWS, Microsoft, Google

Location & Work Culture:

Location: Bengaluru Schedule: 6 days a week, (5 days-in-office, Saturdays WFH) Culture: Builder mindset, strong ownership, technical excellence Team: Small, highly skilled backend and infra team Resources: AWS credits, latest tooling, learning budget

PS:- Only those who meet the job criteria specified in the job description and satisfy the mandatory requirements for the job role, are required to apply.