About the role
We are looking for experienced Python Developers / Full Stack Engineers with strong software engineering expertise and hands-on experience in enterprise SaaS/B2B product development, cloud technologies and modern AI capabilities.
- Strong Python development experience.
- Strong JavaScript / TypeScript experience or C# expertise.
- Hands-on experience with AWS, Azure or GCP.
- Experience working on enterprise SaaS / B2B products.
- Strong SQL and NoSQL database experience.
- Exposure to GenAI, LLMs and Agentic AI solutions.
- Experience with CI/CD, testing, Agile and scalable architectures.
- Good communication and stakeholder interaction skills.
Software Engineering & Architecture
- Strong understanding of OOP, Functional Programming, Design Patterns and Clean Code.
- Experience in architecture and solution design.
- Ability to work on scalable and enterprise-grade systems.
- Strong analytical and problem-solving capabilities.
- Experience handling complex architecture decisions.
Databases
- Strong SQL and NoSQL database experience.
- Experience with PostgreSQL, MongoDB and/or CosmosDB.
- Understanding of database design and scalable data access patterns.
Cloud & Distributed Systems
- Hands-on experience with AWS, Azure or GCP.
- Understanding of cloud-native architecture.
- Experience debugging and monitoring distributed systems using observability tools.
- Exposure to advanced cloud-native observability is preferred.
DevOps, Testing & Engineering Practices
- Experience with CI/CD, refactoring, TDD and application security.
- Understanding of scalable software systems.
- Familiarity with testing frameworks.
- Strong automation testing experience is preferred.
- Experience working in Agile/Scrum development environments.
GenAI / AI
- Experience integrating GenAI, LLMs or Agentic workflows.
- Exposure to AI-enabled application development.
- LangChain, LlamaIndex and Prompt Engineering experience is preferred.
Product Development & Stakeholder Management
- Experience building enterprise-grade B2B products.
- Exposure to product/platform ownership is preferred.
- Strong customer focus and quality mindset.
- Ability to handle ambiguity and work under pressure.
- Strong stakeholder management and technical leadership skills.
- Strong verbal and written English communication.
- Client-facing consulting experience is preferred.
Additional Skills
- Docker/Kubernetes – basic understanding acceptable; hands-on experience preferred.
- Serverless technologies such as AWS Lambda or Azure Functions – not mandatory.
- ETL development using ADF, AWS Glue or GCP Dataflow is preferred.
- Willingness to travel up to 20%.
- International project exposure is preferred.