Sr. Software Engineer, Data Platform; MANTL

Alkami is the digital sales and service platform provider for U.S. banks and credit unions. Our unified Platform integrates onboarding, digital banking, and data and marketing—each solution can stand alone, but together they deliver more—to help institutions onboard, engage, and grow relationships. As the future shifts toward Anticipatory Banking, we help data-informed bankers meet the moment with technology that drives action.

Founded in 2009, we continue to be recognized for our intentional culture and tremendous growth (Best Place to Work in Fintech;
Best & Brightest to Work For Nationally; and Comparably’s Best Company Culture, Best Career Growth, Best Engineering Team, and Best Places to Work in Dallas, among others). We’re building a culture where each Alkamist can perform to their highest potential, and we’re always on the lookout for the best and brightest minds. If you’re ready to experience the power of alchemy - transforming the ordinary into the extraordinary - come join one of the fastest growing SaaS companies in the U.S. As a remote-first company, most of our positions can be remote in the US, except for key roles, which will be indicated in the Job Title.

Follow us on Glassdoor and Linked In!

The Senior Software Engineer - Data Platform independently designs, builds, and operates backend-heavy, full-stack features that help financial institutions access and use critical data. This role develops secure APIs for marketing performance data, intuitive self-service configuration for data egress, and automations that capture and analyze aggregate events. The engineer partners with data engineers, product, design, and software engineers to turn emerging Data Platform capabilities into reliable customer products, while owning implementation quality and production support.

• Own the end-to-end implementation of Data Platform features, from design and development through deployment and production support.
• Turn customer needs into practical designs and incremental delivery plans.
• Build and maintain REST APIs that deliver marketing performance and other platform data to customer BI tools.
• Develop backend services and data flows that move data through queues, databases, and customer-facing interfaces.
• Create clear, usable interfaces that let nontechnical users configure complex data egress workflows.
• Develop webpage automations that capture and analyze aggregate event data with appropriate privacy and security controls.
• Design reliable data models, API contracts, and integrations with appropriate validation, error handling, and observability.
• Collaborate with data and software engineers on new Data Platform products.
• Write readable, tested code; review changes constructively; and explain design decisions in documentation and discussion.
• Communicate proposals, tradeoffs, and progress clearly in written documents, Slack, and live discussion.
• Participate in on-call rotation and incident response, investigate root causes, and improve operational readiness.
• Use automated tests and secure, human-reviewed AI tools to improve delivery.

• Minimum Years of
  
  Experience:
  
  3-6 years of professional software engineering experience focused on backend or full-stack application development, including production services or APIs.
• Education Level: Bachelor's degree in Computer Science, Software Engineering, or a related technical field, or equivalent relevant experience.

• Required Experience building, shipping, and maintaining production services or APIs
• Strong Type Script proficiency and backend development experience, with the ability to contribute to front-end features
• Working knowledge of REST APIs, asynchronous data…