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- 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
Synapsica is a growth stage HealthTech startup founded by alumni from IIT Kharagpur, AIIMS New Delhi, and IIM Ahmedabad. We believe healthcare needs to be transparent and objective, while being affordable. Every patient has the right to know exactly what is happening in their bodies and they don’t have to rely on cryptic 2 liners given to them as diagnosis.
Towards this aim, we are building an artificial intelligence enabled cloud based platform to analyze medical images and create 2.0 of advanced radiologist reporting.
We are backed by YCombinator and other marquee investors from India, US and Japan. We are proud to have GE, AIIMS, the Spinal Kinetics as our partners.
Join us, if you find this as exciting as we do!
Description:
Synapsica is looking for a Node.js/Python developer who is passionate about designing and implementing scalable solutions with highest quality. You will be responsible for creating high performance, responsive, and secure server-side programs to manage Synapsica platform. You will be responsible for designing, managing and supporting cloud platform and scaling our database. This role is ideal for you if you have a background in bakcned development and are looking for the next level of career growth in a fast paced, learning based and merit driven work environment.
Responsibilities:
- Design and development of our new platform modules from scratch.
- Hands on implementation of our APIs and integrations.
- Design, scaling and integration of new/existing databases.
- Ensuring the entire stack is designed and built for speed and scalability
- Design and construction of our REST APIs with best secutiry mechanisms.
- Design and implementation of continuous integration and deployment pipelines in tandem with the respective team members.
- Performance tuning and improvements in large scale systems.
- Ensuring responsiveness and cross-platform compatibility of applications.
- Owning and delivering end-to-end products, features, enhancements.
Requirements:
- Degree in Computer Science or related discipline with strong competencies in data structures, algorithms, and software design
- At least 4+ years of experience with writing Python/NodeJS/PHP/Ruby on Rails.
- Prior experience of database design and management in MongoDB, including being up on the latest practices and associated versions.
- Experience in building highly scalable business applications, which involve implementing large complex business flows and dealing with huge amount of data.
- Familiarity with AWS (or equivalent) ecosystem with end-to-end cloud deployment.
- Experience implementing code level unit tests.
- Proficiency with Git / Version control.
- Appreciation for clean and well documented code
- Excellent verbal communication skills.
- Good problem solving skills.
- Attention to detail.
- Very high sense of ownership.
- Deep interest and passion for technology
● Should have 6+ years of experience as a software developer
● Good experience with Nodejs & Express js.
● Good with MySQL
● Experience with Linux Scripting
● Experience with elastic search and Logstash
● Experience with cyber security
● Great interpersonal and communication skills candidate can work independently
● Agile project methodology experience preferred.
● Excellent communication skills.
● Critical thinker and good problem-solver.
● Good time-management skills
● Great interpersonal skills
Working Timings: 3:00 pm to 12:00 am (midnight)IST
We are looking for an experienced engineer with superb technical skills. You will primarily be responsible for architecting and building large scale data pipelines that delivers AI and Analytical solutions to our customers. The right candidate will enthusiastically take ownership in developing and managing a continuously improving, robust, scalable software solutions. The successful candidate will be curious, creative, ambitious, self motivated, flexible, and have a bias towards taking action. As part of the early engineering team, you will have a chance to make a measurable impact in future of Thinkdeeply as well as having a significant amount of responsibility.
Although your primary responsibilities will be around back-end work, we prize individuals who are willing to step in and contribute to other areas including automation, tooling, and management applications. Experience with or desire to learn Machine Learning a plus.
Experience
12+ Years
Location
Hyderabad
Skills
Bachelors/Masters/Phd in CS or equivalent industry experience
10+ years of industry experience in java related frameworks such as Spring and/or Typesafe
Experience with scripting languages. Python experience highly desirable. 5+ Industry experience in python
Experience with popular modern web frameworks such as Spring boot, Play framework, or Django
Demonstrated expertise of building and shipping cloud native applications
Experience in administering (including setting up, managing, monitoring) data processing pipelines (both streaming and batch) using frameworks such as Kafka, ELK Stack, Fluentd
Experience in API development using Swagger
Strong expertise with containerization technologies including kubernetes, docker-compose
Experience with cloud platform services such as AWS, Azure or GCP.
Implementing automated testing platforms and unit tests
Proficient understanding of code versioning tools, such as Git
Familiarity with continuous integration, Jenkins
Responsibilities
Architect, Design and Implement Large scale data processing pipelines
Design and Implement APIs
Assist in dev ops operations
Identify performance bottlenecks and bugs, and devise solutions to these problems
Help maintain code quality, organization, and documentation
Communicate with stakeholders regarding various aspects of solution.
Mentor team members on best practices







