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Tier-1 brand and Bangalore metro increase applicant density, but senior specialized leadership reduces it.
Role requires specialized platform, SRE, distributed-systems and regulated fintech experience, limiting cross-industry transferability.
Explicit 10+ years, leadership, cloud/SRE/platform and regulated-compliance requirements create strict mandatory filters.
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Lead and mentor multiple technical teams comprising entry-level to mid-level software engineers focusing on moderately complex financial technology tasks.
Accountable for resource allocation, budgeting, tactical operations, and process execution across teams, ensuring collaboration and issue mitigation to deliver cross-functional programs.
Drive adoption and scaling of enterprise-authorized AI-assisted engineering and SDLC/TLM automation to improve delivery speed, quality, and operational outcomes with measurable expectations and governance.
10+ years of technology experience with a degree or equivalent in Computer Science, Engineering, Mathematics, or related field.
Proven experience in engineering leadership including hiring, coaching, performance management, and building diverse, high-performing teams.
Strong technical expertise in distributed systems, cloud-native platforms (AWS/Azure), microservices, CI/CD automation, and operational excellence (SRE practices).
Experience in leading multi-team adoption of AI-assisted development tools with governance, security, and compliance in regulated environments.
Experienced leader capable of strategic translation of business outcomes into technical roadmaps and managing multi-team, cross-functional dependencies.
Deep expertise in distributed system design with emphasis on scalability, fault tolerance, and secure, responsible AI engineering practices.
Skilled in influencing executives and collaborating across Product, Operations, Security, and Compliance functions within a regulated financial services environment.