Amazon Web Services (AWS)
NodeJS (Node.js)
Elastic Search
Docker
Kubernetes
Express
NextJs (Next.js)
Python
Django
Go Programming (Golang)
Java
Kotlin
GitHub
JenkinsJob Details
- Job Title: Senior Backend Engineer
- Industry: SAAS
- Function – Information Technology
- Experience Required: 5-8 years
- Working Days: 6 days a week, (5 days-in-office, Saturdays WFH)
- Employment Type: Full Time
- Job Location: Bangalore
- CTC Range: Best in Industry
Preferred Skills: AWS, NodeJS, RESTful APIs, NoSQL
Criteria
· 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 candidates from SAAS/Software/IT Services based startups or scaleup companies
Job Description
The Role:
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
Why 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
Shubham Vishwakarma
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Follow CutshortShubham Vishwakarma
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