Lead Engineer, VP

Overview

Lead Engineer, VP on the Channel Security team in Corporate Banking Technology, responsible for the end-to-end technical delivery of a mission-critical platform that protects the Corporate Bank's online channels from real-time fraud.

What you'll do

• Provide technical leadership and mentorship to the team, fostering a culture of engineering excellence and ownership.
• Lead by example through direct, hands-on development of the core services and critical components of the Fraud Monitoring Platform.
• Partner closely with the platform architect to define and drive the implementation of the solution design, ensuring the platform is scalable, resilient, and secure.
• Work closely with Engineering Heads, Project Management, and leaders of related platforms to build, integrate, and deliver the software.
• Drive continuous improvement across the entire SDLC, including code quality, automated testing (QA), CI/CD pipelines, and post-release operational activities.
• Act as the primary technical expert on the platform in strategy meetings, stakeholder discussions, and future product development opportunities.
• Partner with SRE and L3 support teams to proactively identify and implement architectural improvements that enhance system reliability and reduce operational toil.

What you'll need

• Proven, hands-on experience designing, building, and deploying complex, scalable applications on a major public cloud platform.
• Extensive hands-on backend programming experience, with expert-level proficiency in the modern Java ecosystem (Java 17+, Spring Boot).
• Familiarity with AI/ML, Generative AI and agentic AI patterns, with an understanding of how ML models, LLMs or AI agents can be safely integrated and orchestrated within enterprise and real-time decisioning platforms.
• Experience applying AI-assisted engineering techniques across software development, testing, operational support or developer productivity.
• Overall experience of 15+ years in software engineering, with a proven track record of leading the design and delivery of complex, business-critical systems.
• Strong knowledge of Microservices Architecture, Kubernetes, Docker, and building cloud-native applications.
• Proficiency with event-driven architecture and messaging systems like Kafka or MQ.
• Expertise with relational databases (Oracle, PostgreSQL, MySQL) and in-memory data stores/caches (Redis).
• Good understanding of Git, CI/CD pipelines (e.g., Jenkins, GitLab CI, GitHub Actions), and DevOps/SRE principles.
• Experience engineering systems with high-load and high-traffic requirements, including performance testing, tuning, and ensuring zero-downtime releases.
• A strong understanding of modern security principles, including API security (mTLS, OAuth2), data protection, and secure coding practices.
• Proven ability to leverage AI tools to enhance productivity and optimise workflows to solve business problems, while applying critical judgment to ensure responsible and ethical use of data and AI outputs.

Nice to have

• Hands-on experience on GCP (Google Cloud Platform).
• Familiarity with the principles of AI/ML and an understanding of how to integrate and orchestrate machine learning models or AI agents within a real-time decisioning system.

Details

• Location: Pune, India.
• Corporate title: Vice President.