Senior Python & SQL Application Developer - Assistant Vice President

Role

Senior engineering leader responsible for architecting, designing, and delivering Python- and SQL-based applications and microservices for credit risk analytics, workflows, and reporting. The role blends hands-on development, system architecture, technical leadership, and AI-enabled innovation within an enterprise banking environment.

Key Responsibilities

• Architect, design, and deliver scalable Python applications supporting credit risk analytics, workflows, and reporting.
• Design and evolve microservices-based architectures focusing on scalability, resiliency, observability, and maintainability.
• Build API-driven services and ensure engineering standards for coding, testing, CI/CD, debugging, and production readiness.
• Partner with risk, product, data, and platform teams to integrate platforms, identify enhancements, and enable new products.
• Resolve high-impact, complex initiatives through analysis of business processes and system flows.
• Apply AI/GenAI capabilities to modernize workflows, automate analysis, and augment analytics.
• Serve as technical leader and mentor, coaching mid-level engineers and allocating work.
• Ensure solutions comply with enterprise architecture, data, security, and regulatory requirements.

How You’ll Work

• Operate with a startup mindset (ownership, bias for action, pragmatic innovation) while delivering enterprise discipline (stability, controls, transparency, audit readiness).
• Balance experimentation with responsibility and adapt quickly as priorities change.

Core Technical Skills / Requirements

• 5–10 years of application development or systems engineering experience in complex environments.
• Advanced proficiency in Python and SQL with strong software engineering fundamentals.
• Hands-on experience building API-driven services using FastAPI, Pydantic, and/or Django.
• Proven experience designing and implementing microservices architectures and inter-service communication patterns.
• Strong experience with Docker and Kubernetes for deploying and operating containerized services.
• Experience working in Linux environments, including shell scripting and operational troubleshooting.
• Strong track record implementing unit testing, TDD, and automated quality controls.
• Deep understanding of system architecture, data flows, and distributed systems.
• Subject matter expert in at least one application, platform, or service domain.

AI & Modern Engineering Tools

• Working knowledge of LLMs and AI platforms (OpenAI, Anthropic, Google, Meta).
• Experience designing or contributing to LLM-enabled solutions (copilots, workflow automation, analytics augmentation).
• Familiarity with prompt engineering, model integration patterns, and AI governance in enterprise settings.
• Exposure to AI-assisted tooling (referred to as “vibe coding”) to accelerate development while maintaining engineering rigor.

Bonus / Differentiating Skills

• Experience with distributed data and compute platforms (Spark, PySpark, Hadoop, Hive).
• Hands-on experience with graph databases such as Neo4j.
• Background in credit risk or financial risk management and experience modernizing legacy monoliths.
• Demonstrated delivery of GenAI/AI-driven solutions in regulated or large-scale environments.

Education

• Bachelor’s degree (or equivalent experience) in Computer Science, Engineering, Mathematics, or related STEM field. Master’s degree preferred.

Location & Time Type

• Location: Chennai, Tamil Nadu, India
• Time Type: Full time
• Job Type: On-Site/Resident