Senior Backend Engineer

Description :

What You'll Build :

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

Core Backend Services :

- 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

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

Scalability & Performance :

- 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

Infrastructure & DevOps :

- 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

Integration & APIs :

- 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

Data Processing & Analytics :

- 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 :

Backend Languages & Frameworks :

- Secondary : Go, Java/Kotlin (Spring)

- APIs : REST, GraphQL, gRPC

Databases & Storage :

- NoSQL : MongoDB, DynamoDB

- Caching : Redis, Memcached

- Search : Elasticsearch, Algolia

- Storage/CDN : AWS S3, CloudFront

- Queues : Kafka, RabbitMQ, AWS SQS

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

Monitoring & Operations :

- Logging : ELK Stack, CloudWatch Logs

- Error Tracking : Sentry, Rollbar

- APM tools

Security & Auth :

- Secrets : AWS Secrets Manager, Vault

- Security : Encryption (at rest/in transit), TLS/SSL, IAM

What We're Looking For :

Must-Haves :

- 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

Highly Desirable :

- 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