Bachelor's Degree in Computer Science or related field with 8+ years of relevant experience and 2+ years of management experience or combination of education and experience
Proficiency in more than one major programming language
Deep understanding of the foundation of software engineering principles, including system design, architecture, and development practices
Proven success in a fast-paced development environment, with a focus on improving development practices and processes to enhance team efficiency, collaboration, and code quality in a large-scale organization
Proven success as a coach and mentor of technical staff
Ability to motivate yourself and others, prioritize your own work, and adapt and thrive in a dynamic team environment
Excellent problem solving, decision-making, and interpersonal skills
Excellent verbal and written communication skills for technical and non-technical audiences
Desired:
Hands-on experience with AWS-native infrastructure, including ECS, RDS and EKS
Experience building and operating internal developer platforms or shared infrastructure capabilities
Proficiency with Infrastructure as Code (AWS CDK or equivalent) and CI/CD automation
Demonstrated application of SRE principles
Familiarity with cloud security and compliance
If you thrive in a high-energy, entrepreneurial environment, we invite you to share your passion, ideas and excitement at nCino.
Additional Information
nCino offers exciting career opportunities for individuals who want to join the worldwide leader in cloud banking.
We're looking for a hands-on Engineering Manager to lead our Cloud Infrastructure team within the Technology Platform group. This person will be responsible for driving the design, development, and operational excellence of infrastructure supporting multiple business units. Our infrastructure is AWS-based and relies heavily on Kubernetes, ECS, and RDS-so deep experience with these technologies is essential.
This is not a pure people-management role. We need someone technical and involved, who can dive into architecture decisions, help troubleshoot complex issues, and act as a strong technical resource and thought partner to the engineers on the team. The manager will be expected to lead by example, providing architectural guidance, ensuring operational readiness, and advocating for best practices in security, scalability, and automation.
This role sits within our Platform organization, so we're looking for someone who brings strong platform thinking-someone who can build reusable infrastructure capabilities that scale across teams, enable faster development, and reduce operational burden. They should be passionate about empowering other teams and building reliable foundations that make other engineers more productive.
We want a leader who can balance strategic direction with day-to-day technical execution, coach and grow engineers, and collaborate closely with peers across application and platform teams. Strong communication skills, a bias for action, and a mindset for continuous improvement are key.
Essential Functions:
Develops and implements roadmaps, resourcing, project scheduling and oversight, and process improvements for team and function
Identifies gaps and sets technical strategy for the team
Participates in cross-functional initiatives and leadership meetings
Drives the evolution of engineering standards and practices across the department
Provides technical guidance and mentoring to engineers, identifying individual growth needs for engineers
Accomplish results through professional employees by setting project timelines, priorities based on project objectives, and oversight of ongoing assignments.
Attract, select, and retain high-level talent through active participation in performance management and professional development of team members.
Leverage AI tools and techniques to enhance software development activities, including code generation, testing, debugging, and optimization.
Apply AI insights to identify patterns, automate repetitive tasks, and improve overall development efficiency and product quality.
Evaluate and integrate AI/ML capabilities where appropriate to strengthen product functionality and user experience.
Maintain awareness of emerging AI trends and best practices to inform continuous learning and innovation.