10+ years of Backend/ Software Engineering experience.
Hands on production experience with FastAPI (mandatory)
Expert-level Python knowledge
Strong experience with: Relational databases (PostgreSQL/MySQL)
At least one NoSQL datastore
Deep understanding of: Backend architecture patterns
Design patterns (GoF, SOLID, DDD concepts)
Distributed systems fundamentals
Experience designing and evolving large-scale systems
Practical experience with cloud services and deployments
Proven ability to lead technical decisions and architecture discussions
Nice-to-Have
Experience migrating monoliths to microservices (or deciding not to)
Event-driven or streaming systems experience
API gateways, rate limiting, auth systems (OAuth2, JWT)
Prior experience acting as Senior Backend Developer, Tech Lead or Solution Architect.
Core Responsibilities
System Design & Architecture
Design end-to-end backend systems with a focus on scalability, resilience, and maintainability
Define service boundaries, data ownership, and communication patterns
Select and apply appropriate architecture patterns:
Modular monoliths
Microservices
Event-driven systems
Layered and hexagonal architecture
Drive trade-off decisions (performance vs cost vs complexity)
Produce architecture diagrams, ADRs, Data Flow Diagrams and technical design documents.
Backend Engineering
Design and develop high-performance backend services using Python and FastAPI
Build and maintain RESTful APIs and async services
Handle concurrency, background processing, and IO-heavy workloads
Enforce clean code, SOLID principles, and testability
Lead code reviews with a focus on correctness, performance, and long-term design
Data Engineering & Storage
Design and optimize schemas in RDBMS (PostgreSQL/MySQL) Indexing, query optimization, transactions, isolation levels
Design data models for NoSQL systems (MongoDB, DynamoDB, Redis, etc.)
Choose the right data store based on access patterns and consistency needs
Handle migrations, versioning, and backward compatibility
Distributed Systems
Design systems that handle: Partial failures
Retries, timeouts, and idempotency
Horizontal scaling
Experience with message brokers and async communication (Kafka, RabbitMQ, SQS, etc.)
Understand consistency models, eventual consistency, and data replication
DevOps & Cloud (Hands-on but not DevOps-only)
Work in cloud environments (AWS / Azure / GCP)
Containerize services using Docker
Deploy using CI/CD pipelines
Understand Kubernetes concepts (pods, services, autoscaling) or managed alternatives
Collaborate with DevOps/SRE on observability, logging, and monitoring
Technical Leadership:
Act as technical owner for backend systems
Mentor senior and mid-level engineers
Set engineering standards and best practices
Work closely with product and business stakeholders to translate requirements into technical designs
Note: Please send Cv only, who can attend the interview weekdays, with short notice period (max 15 days only)
Job Location: Chennai (work from office only)
Pay: ₹1,851,368.30 - ₹3,550,754.94 per year
Benefits:
Work Location: In person
