Software Development Engineer

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Experience: 7+ yrs

Location: Bengaluru, Karnataka, India

As a Software Development Engineer, you will architect and develop high-performance backend services that drive our fintech platform, leveraging Python to build scalable, maintainable solutions. You will be responsible for designing data models that support complex financial analytics and AI inference pipelines, ensuring low latency and high throughput across distributed environments. Your work will involve collaborating closely with data scientists, product managers, and DevOps to translate market needs into reliable, secure, and GDPR-compliant products that empower customers to make smarter financial decisions. You will also mentor junior engineers, contribute to open source initiatives, and stay ahead of emerging technologies in AI and backend engineering to continuously improve our technology stack.

Requirements

• Design and implement scalable microservices architecture using Python and asynchronous frameworks.
• Build and optimize data models for real-time transaction processing and predictive analytics.
• Develop AI/ML integration points for fraud detection, credit scoring, and personalized recommendation engines.
• Ensure system resilience with robust error handling, monitoring, and automated testing pipelines.
• Collaborate with cross-functional teams to translate business requirements into technical specifications.
• Conduct code reviews, maintain coding standards, and promote best practices across the engineering team.
• Optimize database performance through indexing, query tuning, and data warehousing strategies.
• Champion security by implementing token-based authentication, encryption, and secure data flow.
• Continuously evaluate new technologies and frameworks to enhance scalability and developer productivity.
• Mentor junior developers and contribute to technical knowledge sharing sessions.
• 7+ years of professional experience in software engineering with a focus on backend development.
• Proficiency in Python, including frameworks such as FastAPI, Django, or Flask.
• Deep understanding of scalable distributed systems and cloud infrastructure (AWS, GCP, or Azure).
• Experience designing and implementing data models for financial data and analytics workloads.
• Hands-on expertise with AI/ML libraries (TensorFlow, PyTorch, Scikit-learn) and integration into production systems.
• Strong knowledge of relational and NoSQL databases, including PostgreSQL, MongoDB, and Redis.
• Familiarity with CI/CD pipelines, Docker, Kubernetes, and automated testing frameworks.
• Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment.
• Passion for fintech innovations, regulatory compliance, and data privacy best practices.
• Demonstrated leadership in mentoring or leading technical teams and contributing to open source projects.