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Tier-1 employer and Bangalore location increase competition, but seniority and specialization moderate density.
Requires regulated-fintech, enterprise Java, and AI leadership experience, so background fit sensitivity is high.
Explicit 12-15 years plus 4+ leadership years and mandatory Java/AI and architecture skills raises selectivity.
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Lead architecture, design, modernization, and delivery of scalable enterprise financial technology platforms supporting stock plan administration and workplace intelligence.
Drive adoption of modern engineering and AI-first development practices, including microservices, event-driven architecture, observability, and automation.
Lead and mentor software engineering teams, establish engineering standards, collaborate with global stakeholders, and ensure compliance with security and regulatory requirements.
12-15 years of software engineering experience with at least 4+ years in technical leadership roles.
Strong expertise in Core Java, Java EE, Spring Boot, Spring Framework, Scala, microservices architecture, Domain-Driven Design, RESTful services, and distributed systems.
Experience with event-driven systems (Kafka, JMS), relational databases (Oracle, PostgreSQL, SQL Server, Snowflake), and observability tools (Grafana, OpenTelemetry, Dynatrace, Splunk).
Experience with Generative AI, Agentic AI, LLM applications, AI-assisted software development workflows, and Spec-Driven Development.
Senior technology leader comfortable combining hands-on engineering with architectural governance and strategic delivery.
Experienced in driving AI-assisted development practices and modernization in a large-scale enterprise financial services environment.
Capable of managing cross-regional teams and collaborating with business and product stakeholders to deliver complex technology roadmaps.