Platform Engineer

ncino; Wilmington (NC); On-site; USD 90,000 - 130,000; Full time

Job summary

nCino is seeking a Software Engineer to join our Platform as a Product team, helping internal engineers move faster by building tools, frameworks, and capabilities for the full delivery lifecycle.

You will work within an architectural framework emphasizing developer experience, deployment reliability, governance, observability, and security, collaborating across teams to improve code quality and adoption of AI-assisted development practices.

Qualifications

• Bachelor's degree in Computer Science or related field with 2+ years of experience.

Responsibilities

• Support product refinement process including tickets and analysis for development work.
• Follow architectural decisions and understand the reasoning behind them.
• Engage in brainstorming sessions to propose innovative ideas and solutions.
• Contribute to CI/CD processes and testing coverage for the product.

Skills

Programming languages

Web app development

CI/CD and testing

Team collaboration

Code reviews

Education

Bachelor's degree in Computer Science

Tools

AWS

Git

CI/CD pipelines

Serverless AWS

Job description

nCino offers exciting career opportunities for individuals who want to join the worldwide leader in cloud banking.

nCino's Technology Platform team exists to make other engineers faster. We build the internal tools, frameworks, and capabilities that product and solution teams depend on to develop, ship, and operate software at scale, and we're looking for a Software Engineer who wants to be on that side of the equation. In this role, you'll contribute across the full delivery lifecycle: breaking down complex work, writing high-quality code, strengthening CI/CD pipelines and test coverage, and collaborating across teams to remove friction and drive consistency. You'll work within an architectural framework built around developer experience, deployment reliability, governance, observability, and security.

We follow a Platform as a Product model - treating our internal teams as customers, and our platform as something we build with the same care, iteration, and accountability as any external product. Our platform engineers don't just understand what they're building, but why it matters to the teams depending on it. If you're someone who communicates clearly across technical and non-technical audiences, takes ownership of code quality, and brings genuine curiosity to AI-powered development practices, this is a team where that mindset will compound quickly.

Job Description

Essential Functions:

• Support product refinement process such as the creation of tickets and analysis for development work.
• Follow architectural decisions made by the team and understand the reasoning behind them.
• Engage in brainstorming sessions to propose innovative ideas and solutions.
• Be involved in proof-of-concept implementations and prototypes used to gather feedback and make informed decisions. Consider potential risks that might impact solution.
• Express themselves clearly to both technical and non-technical audiences in written and verbal formats. Independently analyze, troubleshoot, break down complex tickets, and identify dependencies across teams and epics.
• Contributes to CI/CD process including Automated Testing and enhancing the testing coverage of their product.
• Understand adoption and release barriers to entry for the product and technology.
• Support PM and team in developing a strategic launch and release plan with cross functional teams.
• Promote cross-team collaboration focused on taking end to end solutions to market and supporting Go-live activities.
• Analyze adoption of product and understand how to improve the customer journey by applying solutions to address new enhancement requests.
• Play an active role in addressing system hygiene.
• Mitigate future hygiene issues by consistently producing high-quality code
• Adhere to coding standards and is up to date with the latest technology trends, best practices.
• Encourages continuous learning and is able to define a personalized continuous learning path that assists with career growth.
• Independently handle complex tickets, actively collaborate with the team to drive continuous improvement.
• Increased expectations in quality code review process
• 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.

Qualifications

Required:

• Bachelor's Degree in Computer Science or a related field with 2+ years of experience/proficiency or a combination of education and experience
• Knowledge of software design principles and development tools, technologies (languages, frameworks, etc.) and domains used
• Experience with cloud platforms, particularly AWS (SDK, EC2, S3, Lambda, or similar services)
• Proficiency in at least one programming language
• Experience with web application development
• Strong understanding of software engineering best practices, including coding standards, code reviews, source control management, and testing
• Ability to collaborate with others in a professional and respectful manner
• Proficient knowledge of code versioning tools such as Git.

Desired:

• Building internal developer tools, SDKs, and libraries
• Strong collaboration and cross-team communication
• Developer productivity tooling and workflow automation
• Strong collaboration and cross-team communication
• Practical experience leveraging AI tools (e.g., Claude Copilot, Cursor, or LLM APIs) to accelerate development, automate repetitive engineering tasks, and build AI-augmented workflows into the platform development lifecycle
• Hands‑on experience with AWS services and infrastructure as code, including serverless architectures using Lambda and API Gateway, event‑driven patterns with EventBridge, and multi‑ac