Software Engineer: AI-Powered Cloud & Impact

nCino, Inc.; United States; Remote; USD 90,000 - 120,000; Full time

Job summary

nCino, Inc. seeks a software engineer to join the development team, assisting design, development, and testing of complex software for cloud-based tools in the financial services domain. You will collaborate across teams to deliver impactful features and maintain high coding standards.

You will contribute to CI/CD practices, automated testing, and adoption of AI-enabled tooling to improve efficiency and product quality while following architectural decisions and best practices.

Qualifications

• Bachelor’s Degree in Computer Science or a related field with 2+ years of experience.
• Knowledge of software design principles and development tools, technologies (languages, frameworks, etc.) and domains used
• 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.

Responsibilities

• 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.

Skills

Programming language proficiency

Web development experience

Team collaboration

Agile methodologies

Ruby on Rails

Vue.js

React

Knockout

Education

Bachelor’s Degree in Computer Science or related field

Tools

Git

Job description

nCino, Inc. seeks a software engineer to join the development team, assisting design, development, and testing of complex software for cloud-based tools in the financial services domain. You will collaborate across teams to deliver impactful features and maintain high coding standards.

You will contribute to CI/CD practices, automated testing, and adoption of AI-enabled tooling to improve efficiency and product quality while following architectural decisions and best practices.