Back
Tier-1 employer, metro location, and broad senior engineering role increase qualified applicant density.
Requires regulated financial experience, security and enterprise SDLC knowledge, reducing cross-industry transferability.
Explicit 10+ years plus mandatory cloud, SRE, security and regulated-environment experience makes hiring filters strict.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Provide leadership, direction, and technical coaching for multiple software engineering teams, spanning entry to mid-level engineers.
Own decisions impacting team resources, budgets, tactical operations, and execution of engineering processes.
Set and scale enterprise AI-assisted engineering and SDLC automation practices across teams, measuring throughput, defect reduction, reliability, and ensuring security and reuse of patterns.
10+ years technology experience with a degree or equivalent in Computer Science, Engineering, Mathematics, or related field.
Experience leading multiple technical teams including senior engineers and engineering managers, including hiring and performance management.
Strong technical expertise in distributed systems design (APIs, microservices, event-driven architecture), cloud-native platforms (AWS/Azure), and developer productivity tools (CI/CD, automation).
Experience leading multi-team adoption of enterprise AI-assisted development tools with governance and security around sensitive data.
Proven ability to translate strategic business outcomes into technical execution and successfully deliver multi-team, cross-functional programs with dependency management.
Experience operating in regulated, data-intensive environments with strong knowledge of secure SDLC, IAM, compliance, and executive stakeholder influence.
Strong operational excellence mindset (SRE practices) combined with expertise in responsible AI use, resilience, security, and scaling of AI-assisted engineering workflows.