Software Engineering Manager

• Lead, coach, and develop cross-functional engineering teams including Software Development Engineers and Quality Engineers.

• Build a high-performing engineering culture focused on collaboration, accountability, quality, and continuous improvement.

• Drive career development, performance management, hiring, and succession planning.

• Identify opportunities to leverage Generative AI and AI-powered engineering tools across the software development lifecycle, including requirements analysis, code generation, test automation, code reviews, documentation, and incident analysis.

• Foster a culture of continuous experimentation and learning around AI-enabled engineering practices.

• Experience leveraging Generative AI tools to improve software engineering productivity and delivery.

• Familiarity with AI-assisted software development tools such as GitHub Copilot, Microsoft Copilot, Cursor, or similar developer productivity platforms.

• Understanding of Large Language Models (LLMs), prompt engineering, retrieval-augmented generation (RAG), and AI agent concepts.

• Experience integrating AI capabilities into enterprise applications using modern APIs and cloud AI services.

• Knowledge of Responsible AI principles, AI governance, security, and data privacy considerations.

• Own end-to-end delivery of engineering initiatives from planning through production deployment.

• Partner closely with Product Management, Architecture, UX, Security, and Operations to deliver business outcomes.

• Manage sprint execution, release planning, dependencies, risks, and issue resolution.

• Drive predictable delivery through effective planning, estimation, and execution.

• Monitor delivery health using engineering and delivery metrics.

• Provide technical direction for CIAM solutions built using modern identity platforms such as ForgeRock and Auth0.

• Guide engineering teams in adopting AI-powered development tools, solution design and architecture decisions to ensure scalability, availability, maintainability, and security.

• Review technical approaches and ensure engineering best practices are followed.

• Mentor engineers on secure software development, cloud-native architecture, API design, and engineering standards.

• Encourage data-driven engineering decisions using engineering metrics, AI insights, and platform observability.

• Build quality into the software development lifecycle rather than treating QA as a separate phase.

• Lead Quality Engineering practices including:

• Test automation

• Shift-left testing

• Performance testing

• Regression automation

• Release readiness

• Improve engineering productivity through automation and DevOps practices.

• Drive improvements in code quality, technical debt reduction, observability, and platform reliability.

• Lead the development and evolution of Customer Identity solutions including:

• Authentication

• Authorization

• Single Sign-On

• Federation

• MFA

• Passwordless authentication

• Identity Lifecycle Management

• Ensure compliance with security and privacy standards including GDPR and CCPA.

• Collaborate with Security teams to improve platform resilience and risk management.

• Build strong partnerships with Product, Architecture, Security, Platform Engineering, and Business stakeholders.

• Communicate engineering progress, risks, dependencies, and delivery commitments.

• Provide regular reporting using engineering KPIs and operational metrics.

• Drive adoption of Agile, DevSecOps, CI/CD, and engineering best practices.

• Identify opportunities to improve engineering processes, developer experience, automation, and operational excellence.

• Champion innovation and continuous learning across the team.

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field with 12+ years of experience.

• Previous software engineering experience with proven success managing engineering teams.

• Experience leading both Software Development and Quality Engineering teams.

• Strong experience delivering enterprise applications in Agile environments.

• Experience with Customer Identity and Access Management (CIAM) and Identity & Access Management (IAM) platforms.

• Excellent stakeholder management, leadership, and communication skills.

• Experience managing multiple priorities in a fast-paced engineering organization.

• ForgeRock (AM, IDM, DS, IG) or Auth0

• OAuth 2.0

• OpenID Connect (OIDC)

• SAML

• MFA

• Passwordless Authentication

• Identity Federation

• Identity Governance concepts

• Java

• Spring Boot

• REST APIs

• Microservices Architecture

• Distributed Systems

• AWS

• Docker

• Kubernetes

• Jenkins / GitLab CI

• CI/CD pipelines

• Infrastructure Automation

• Test Automation

• API Testing

• Performance Testing

• Quality Engineering Practices

• Shift-left Testing

• Release Management

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