Software Engineering Manager - .Net & AI

About the role

Leadership and engineering delivery

• Manage, coach, and develop individual-contributor engineers and less experienced managers.
• Ensure compliance with banking platform architecture and non-functional requirements for each release.
• Work with architects and engineers on technology strategy and migration paths, including cloud readiness, modernization, and data strategy.
• Represent the product technically in cross-team collaboration and planning.
• Resolve code, build, and deployment roadblocks; oversee the development lifecycle and security standards.
• Help teams make decisions and remove impediments while encouraging learning, experimentation, and continuous improvement.
• Contribute directly in code, conduct peer reviews, and guide design.
• Ensure security, stability, and scalability; identify and mitigate technology and enterprise risk.
• Partner with product managers and owners on user satisfaction, requirements, priorities, roadmap, and technical strategy.
• Work with third-party vendors and technology service providers.
• Manage people and financial resources, career development, and performance for engineers and managers.
• Hire, mentor, and develop direct reports.

Required qualifications

• 5+ years of software engineering experience, or equivalent demonstrated through work experience, training, military experience, or education.
• 2+ years of leadership experience.

Desired qualifications

• Working knowledge of technologies such as .NET and Python, CI/CD pipelines, and modern engineering practices.
• Background in system design, microservices, distributed systems, and cloud-native applications.
• Experience with Kafka, relational or NoSQL databases, Kubernetes or OpenShift, and CI/CD.
• Strong engineering practices and production support experience; experience leading and mentoring engineering teams.
• Stakeholder management across product, user experience, DevOps, business users, and external vendors.
• Experience with Splunk, AppDynamics, Grafana, Ansible, and JIRA.
• Bachelor's degree in a technology-related field or equivalent advanced degree.
• Analytical, problem-solving, organizational, communication, and interpersonal skills.
• Experience driving AI-assisted software engineering and engineering productivity initiatives.
• Understanding of generative AI, large language models, AI agents, prompt engineering, retrieval augmented generation, and AI governance.

Job expectations