12 to 18 years of experience, with at least 2 years in a Technical Project Manager or Engineering Manager role.
Proven experience managing fixed-bid software development projects from planning through production.
Strong technical background with experience in .NET, Microservices, MS SQL Server, CI/CD, DevOps, and cloud-native application delivery.
Hands-on understanding of the complete SDLC, Agile delivery, software estimation, risk management, change management, and release management.
Ability to drive technical execution by understanding architecture, dependencies, implementation plans, and delivery risks.
Strong stakeholder management skills with the ability to collaborate across Product, Engineering, QA, DevOps, Security, and Customer teams.
Experience with Azure DevOps, Microsoft Project, or equivalent project management tools.
Proven experience leading engineering teams of 10 or more members.
Strong financial acumen, including effort estimation, resource planning, budget forecasting, utilization, and project margin management.
Working knowledge of application security, secure SDLC, vulnerability management, and engineering governance.
Hands-on experience using AI-assisted engineering tools such as GitHub Copilot, Microsoft Copilot, ChatGPT Enterprise, or equivalent to improve engineering productivity.
Experience applying AI for software development activities such as code reviews, documentation, test case generation, root cause analysis, backlog refinement, and engineering automation.
Strong understanding of Responsible AI, AI governance, data security, and best practices for the safe use of AI in software engineering.
Ability to evaluate, adopt, and drive AI-enabled engineering practices across development teams while ensuring quality, security, and compliance.
Desired Skill
Experience in the Banking, Payments, or Financial Services domain.
Knowledge of Kubernetes, OpenShift, Kafka, Docker, and modern cloud platforms.
Experience working in Product Engineering organizations
Exposure in working on responsing to RFPs and using AI assited proposal creation.
