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Tier-1 brand, mid-level managerial title, metro hiring, and broad backend/cloud/AI requirements.
Core backend, cloud, and AI skills are transferable, though banking regulatory experience is preferred.
Explicit years and management requirements, mandatory enterprise tech stacks, and regulatory compliance needs.
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Lead and develop software engineering teams responsible for designing and supporting enterprise-scale applications using Java, .NET, microservices, and cloud-native technologies.
Drive architecture, design, and modernization initiatives including Generative AI integration to enhance productivity and operational efficiency.
Ensure compliance with security, risk, and regulatory standards while fostering engineering excellence across distributed teams and vendor partners.
5+ years of software engineering experience.
2+ years of experience managing and leading software engineering teams.
Proven experience delivering large-scale enterprise applications and designing distributed systems/microservices.
Experience with Agile development methodologies, software development lifecycle, CI/CD, DevSecOps, and managing technology risk and operational resiliency.
Experienced leader with strong technical expertise in Java, Spring Boot, .NET Core, event-driven architectures (e.g., Kafka), and cloud platforms (OpenShift, Kubernetes, Azure, AWS, or GCP).
Proven track record in driving modernization initiatives including cloud migration, API enablement, and platform transformation.
Knowledgeable in AI technologies including Generative AI, Agentic AI, LLMs, RAG, and autonomous workflow implementation within enterprise environments.