Software Engineer- Python Full Stack Developer
Experience: 2 to 8 Years
Role Overview
As a Senior Software Engineer, you will design, build, and own significant components of our SaaS platform. You will take features from ambiguous requirements through design, implementation, testing, and production operation. You will make sound technical decisions within your area, contribute to architecture discussions, and mentor engineers around you.
This role requires strong software engineering fundamentals, solid experience with distributed systems and cloud-native development, and a track record of delivering reliable, high-quality software. The ideal candidate is a self-driven builder who takes ownership, cares deeply about quality, and enjoys solving hard technical problems.
Key Responsibilities
Software Engineering
- Design, build, and own end-to-end features and services across the platform.
- Build scalable APIs, backend services, and cloud-native applications.
- Build and operate event-driven workflows using Kafka-compatible messaging, background
- workers, and reliable async processing patterns.
- Write clean, well-tested, maintainable, and performant code.
- Contribute to frontend and full-stack development as needed.
- Improve system performance, scalability, reliability, and security within your area.
- Troubleshoot and resolve production issues, including on-call participation.
Technical Contribution & Design
- Translate ambiguous requirements into well-structured technical designs.
- Participate in and contribute to design reviews and architecture discussions.
- Make pragmatic technical decisions and clearly document trade-offs.
- Identify technical risks early and propose practical solutions.
- Drive adoption of reusable components, shared services, and engineering best practices.
Quality & Operational Excellence
- Uphold high standards for design, code quality, testing, and operational readiness.
- Write and review unit, integration, and automated tests.
- Improve observability through monitoring, logging, and alerting for your services.
- Participate actively in code reviews and provide constructive feedback.
Collaboration & Mentorship
- Mentor and support junior engineers through pairing and code reviews.
- Collaborate closely with product, design, QA, and DevOps teams.
- Contribute to a culture of ownership, learning, and engineering excellence.
AI-Enabled Engineering
- Use modern AI tools to improve development speed, quality, and productivity.
- Apply AI-assisted development practices while maintaining strong engineering standards, security, and code quality.
- Explore practical opportunities to accelerate engineering outcomes.
Required Qualifications
- Bachelor’s or Master’s degree in Computer Science or a related discipline.
- 5–8 years of software engineering experience building production-grade applications.
- Strong experience building and operating cloud-native SaaS or web applications.
- Solid understanding of software design, distributed systems, and modern engineering practices.
- Proven ability to own and deliver complex features independently.
- Experience debugging and resolving performance, scalability, and reliability issues.
Technical Expertise
Backend Technologies
- Python
- Django / Django REST Framework
- FastAPI
- SQLAlchemy / Alembic
- Node.js
- REST APIs
- Microservices Architecture
- Asynchronous Processing
- Event-driven Architecture
- Transactional Outbox / Background Workers
Frontend Technologies
- React.js
- Next.js
- TypeScript
- Modern JavaScript
- State Management Frameworks
Data & Storage
- PostgreSQL
- Redis
- Kafka / Redpanda / Amazon MSK
- Elasticsearch / OpenSearch
- AWS S3 / Object Storage
- Database Design
- Query Optimization
- Caching Strategies
Cloud & Infrastructure
- AWS
- ECS / EKS / Fargate
- Lambda
- API Gateway
- S3
- RDS
- ElastiCache
- MSK
- CloudWatch
- Terraform / Infrastructure as Code
DevOps & Reliability
- Docker
- CI/CD Pipelines
- Monitoring & Observability
- OpenTelemetry
- New Relic / CloudWatch
- Test Automation
- Incident Management
Software Design
- Object-Oriented Design
- Design Patterns
- SOLID Principles
- System Design
- Secure Coding Practices
Preferred Qualifications
- Experience building multi-tenant SaaS platforms.
- Experience with large-scale transactional or data-intensive workloads.
- Exposure to healthcare technology or data-intensive applications.
- Experience mentoring engineers and leading feature development.
- Familiarity with Kubernetes.
- Experience building ETL / data pipelines (good to have).
- Exposure to Databricks or similar data/analytics platforms (good to have).
Pay: ₹500,000.00 - ₹2,500,000.00 per year
Work Location: In person
