Engineering Leadership & Delivery
- Lead a high-performing engineering team delivering enterprise-grade Java and Python microservices at scale.
- Own end-to-end delivery: planning, execution, quality, reliability, and operational excellence.
- Drive cloud-native architectures using Azure (or equivalent) with a focus on scalability, security, and cost optimization.
- Ensure strong SDLC discipline, CI/CD automation, and production readiness.
Identity & Security
- Lead development and integration of IDM / CIAM solutions (authentication, authorization, SSO, OAuth/OIDC, RBAC).
- Partner with Security teams to embed secure-by-design principles, compliance, and vulnerability management.
- Champion application security best practices across SAST, DAST, SCA, and secrets management.
GenAI & Innovation
- Identify and drive practical GenAI use cases across platforms (e.g., developer productivity, intelligent workflows, data insights).
- Guide teams in integrating LLMs, APIs, and AI services responsibly, with attention to governance, privacy, and cost controls.
- Balance innovation with enterprise standards and operational maturity.
People & Talent Leadership
- Hire, coach, and develop senior/mid/Jr engineers.
- Set clear goals, expectations, and career paths; conduct performance reviews and succession planning.
- Foster a culture of ownership, accountability, and continuous improvement.
Cross-Functional Collaboration
- Partner with Product, Architecture, Security, Platform, and Business stakeholders to align priorities and roadmaps.
- Translate business needs into technical strategy and execution plans.
- Communicate progress, risks, and tradeoffs clearly to executive audiences.