Senior Software Engineer II, FullStack AI/ML

Who We Are

Having surpassed $200M ARR and continuing to grow rapidly, AuditBoard is the leading audit, risk, ESG, and InfoSec platform on the market. Nearly 50% of the Fortune 500, including 7 of the Fortune 10, leverage our award-winning technology to move their businesses forward with greater clarity and agility. And our customers love us: AuditBoard is top-rated on G2.com and Gartner Peer Insights.

At AuditBoard we inspire each other to innovate and are proud of what we are producing. We spend each day thinking of new ways to help our customers and contribute to the greater good of our company and our surrounding communities. We are all about assisting each other and breaking through barriers to create the most loved audit, risk, ESG, and InfoSec platform by our customers. This is how we have become one of the 500 fastest-growing tech companies in North America for the fifth year in a row as ranked by Deloitte!

Why This Role is Exciting

We are seeking a highly motivated Senior Software Engineer to join our AI team, working on cutting-edge generative AI, traditional machine learning, and data-driven product features. This role requires a strong leader capable of driving large, strategic, and complex projects to completion. You’ll work closely with machine learning engineers, data scientists, and other stakeholders to design and implement scalable AI-powered solutions that push the boundaries of innovation.

Key Responsibilities

• Build and ship new product features focused on AI and machine learning features end-to-end

• Continuously learn and apply new technologies to improve the product, enhance customer experience, and drive team performance.

• Ability to write clear and well-defined design documentation

• Mentor fellow engineers

• Implement back-end APIs in Node.JS

• Work on our Ember SPA front-end

• Collaborate with engineers, designers, and product managers

• Participate in an Agile software development life cycle

• Write well-designed, maintainable & testable code

• Be product-minded and think about the customer

• Work with JavaScript, Typescript, Node.JS, Ember, Python, Docker, PostgreSQL, Kubernetes, etc.

• Troubleshoot, debug, and resolve software bugs

• Contribute to open-source projects

Attributes of a Successful Candidate

• 5+ years of experience developing web-based applications

• Experience with a modern front-end framework (Ember, React, Vue, etc.)

• Experience with Node.JS and modern ES6 or TypeScript

• Experience writing REST / JSON APIs

• Experience writing software tests

• Ability to solve technical problems independently

• Motivation to work hard and always be learning

• Nice to Have

• Experience with Ember.JS

• Experience working on SaaS web applications

• Bonus: Docker or Kubernetes experience

• BS in Computer Science (or equivalent experience)

Bonus

• Proven experience collaborating with machine learning and AI teams, with a strong understanding of the unique challenges and opportunities in the AI/ML space.

• Passion for solving complex problems and building innovative, data-driven solutions.

• Excellent communication skills, with the ability to explain technical concepts to both technical and non-technical stakeholders.

Perks*

• Launch a career at one of the fastest-growing SaaS companies in North America!

• Live your best life (LYBL)! $200/mo for anything that enhances your life

• Remote and hybrid work options, plus lunch in the Cerritos office

• Comprehensive employee health coverage (all locations)

• 401K with match (US) or pension with match (UK)

• Competitive compensation & bonus program

• Flexible Vacation (US exempt & CA) or 25 days (UK)

• Time off for your birthday & volunteering

• Employee resource groups

• Opportunities for team and company-wide get-togethers!

*perks may vary based on eligibility

Please note that background checks are required. Qualified Applicants with arrest or conviction records will be considered for Employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. This role may have access to highly sensitive data, including: employee data, customer data, company financials, and proprietary product information.

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