
- 10+ years of software development experience
- 3+ years in a technical leadership role
- Strong expertise in Python and SQL
- Experience building scalable APIs and backend systems
- Solid understanding of database design and performance tuning
- Experience with Azure cloud services (AWS familiarity preferred)
- Working knowledge of ML/AI integration in enterprise systems
- Experience in client-facing or consulting environments preferred
- Experience with Databricks or modern data platforms
- Exposure to ETL tools such as Talend
- Experience with BI tools (e.g., Power BI)
- Exposure to regulated domains such as Pharma, Healthcare

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Job 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
We’re looking for an Engineering Manager to guide our micro-service platform and mentor a fully remote backend team. You’ll blend hands-on technical ownership with people leadership—shaping architecture, driving cloud best practices, and coaching engineers in their careers and craft.
Key Responsibilities:
Area
What You’ll Own
Architecture & Delivery
• Define and evolve backend architecture built on Java 17+, Spring Boot 3, AWS (Containers, Lambdas, SQS, S3), Elasticsearch, PostgreSQL/MySQL, Databricks, Redis etc...
• Lead design and code reviews; enforce best practices for testing, CI/CD, observability, security, and cost-efficient cloud operations.
• Drive technical roadmaps, ensuring scalability (billions of events, 99.9 %+ uptime) and rapid feature delivery.
Team Leadership & Growth
• Manage and inspire a distributed team of 6-10 backend engineers across multiple time zones.
• Set clear growth objectives, run 1-on-1s, deliver feedback, and foster an inclusive, high-trust culture.
• Coach the team on AI-assisted development workflows (e.g., GitHub Copilot, LLM-based code review) to boost productivity and code quality.
Stakeholder Collaboration
• Act as technical liaison to Product, Frontend, SRE, and Data teams, translating business goals into resilient backend solutions.
• Communicate complex concepts to both technical and non-technical audiences; influence cross-functional decisions.
Technical Vision & Governance
• Own coding standards, architectural principles, and technology selection.
• Evaluate emerging tools and frameworks (especially around GenAI and cloud-native patterns) and create adoption strategies.
• Balance technical debt and new feature delivery through data-driven prioritization.
Required Qualifications:
● 8+ years designing, building, and operating distributed backend systems with Java & Spring Boot
● Proven experience leading or mentoring engineers; direct people-management a plus
● Expert knowledge of AWS services and cloud-native design patterns
● Hands-on mastery of Elasticsearch, PostgreSQL/MySQL, and Redis for high-volume, low-latency workloads
● Demonstrated success scaling systems to millions of users or billions of events Strong grasp of DevOps practices: containerization (Docker), CI/CD (GitHub Actions), observability stacks
● Excellent communication and stakeholder-management skills in a remote-fi rst environment
Nice-to-Have:
● Hands-on experience with Datadog (APM, Logs, RUM) and a data-driven approach to debugging/performance tuning
● Startup experience—comfortable wearing multiple hats and juggling several projects simultaneously
● Prior title of Principal Engineer, Staff Engineer, or Engineering Manager in a high-growth SaaS company
● Familiarity with AI-assisted development tools (Copilot, CodeWhisperer, Cursor) and a track record of introducing them safely
Job Title: Engineering Manager (Java / Spring Boot, AWS) – Remote
Leadership Role
Location: Remote
Employment Type: Full-time
Python Developer at BeyondScale
BeyondScale is a technology company on a mission to democratise AI for small and medium-sized businesses (SMBs). We're building Sitara, an AI-powered ERP suite that is a suite of micro-apps designed specifically for the service sector. Imagine a pocket CRM, a pocket POS, and a suite of essential tools—all streamlined for simplicity and powered by intelligent automation.
The Opportunity:
We're looking for a passionate Python Developer to join our growing team and play a key role in shaping the future of AI-powered ERP. You'll be instrumental in building Sitara, a product poised to disrupt a massive market with high growth potential.
What You'll Do:
- Design, develop, and maintain efficient, reusable, and reliable Python code for our AI-powered ERP platform.
- Develop and integrate web APIs and interact with SQL databases (NoSQL experience a plus).
- Implement automation using object-oriented programming (OOP) principles, multiprocessing, and threading.
- Write clean, well-documented code and actively participate in testing and debugging.
- Leverage Git and modern development workflow practices to ensure a smooth development cycle.
- While not required, familiarity with generative AI concepts (LLMs, RAG) is a plus.
You're a Great Fit If You:
- Have 1+ years of relevant job experience working with Python
- Possess a strong foundation in computer science fundamentals.
- Are a team player with a collaborative spirit and a positive attitude.
- Enjoy learning new technologies and are eager to push boundaries.
- Have excellent communication skills, including the ability to effectively say no when needed.
1. Need to have an understanding of Elastic Search, Kafka, mongo DB, etc.
2. Should have experience of Jupter noobooks, data bricks
3. Java, Pythons
4. Senior level, 5-10 years of experience
5. It is important they have those skills so that they can take over current work. There are codes written in both Java as well as Python. (Java is legacy but that is the main search engine code). So it will be counter-productive if engineers hired have experience in both.
6. Excellent communication, analytical, research, grasping skills
Work Location: Bangalore
Work Days: Monday through Friday
Week Off: Saturday and Sunday
Shift: Day Time
Primary Skills & Responsibilities
• Strong knowledge in Power BI (DAX + Power Query + Power BI Service + Power BI Desktop Visualisations) and Azure Data Storages.
- 6+ years of experience in software design, development and deployment
- Must have extensive experience in architecture, design and development on .NET framework, C#, WPF
- Must have experience of relational database such as My SQL and MS SQL Server
- Must have experience in Web Services, SOAP, TCP
- Must have excellent experience in debugging, Problem Solving and root cause analysis
- Must have experience on writing Nunit test cases
- Exposure to new tech stacks: AI, ML, BigData, Cloud, Broker Engine, Rule Engine, Report Builder
- Strong exposure to Mean Stacks (Mongo, Express, Angular, Node and React for simple and scalable full stack applications)
- Should have good experience of creating designs & design patterns.
- Lead and Mentor the team technically








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