Sr. Forward Deployed Engineer
Full Job Posting
Recommended Experience & Education
Minimum Years of Experience
Typically requires a minimum of 5 years of related experience; or 3 years and an advanced degree.
Education Level
Bachelor's degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience.
Knowledge, Skills, & Qualifications
Required
Requires a minimum of 5 years of related experience in software development, technical implementation, data systems, automation, or a related field; or 3 years and an advanced degree.
Strong programming skills in Python, TypeScript, JavaScript, Java, C#, or a comparable language, with proven experience shipping and supporting production software, data systems, or workflow automation.
Experience working directly with business, functional, customer, or partner stakeholders to translate ambiguous needs into technical approaches and measurable outcomes.
Experience building or integrating AI-enabled workflows, agents, or automations using coding assistants, agent or workflow builders, prompt and tool design, evaluations, human review, and safeguards for sensitive data; applies AI-assisted workflows to enhance productivity in code generation, testing, documentation, and refactoring while validating outputs.
Demonstrated daily use and a portfolio of agents or automations are expected; general familiarity with AI tools is not sufficient.
Have shipped at least one production AI or agent-based system that was adopted by another team and continues to be actively used, with measurable value, clear ownership, and ongoing support.
In-depth understanding of the software development lifecycle, including design, development, testing, cloud-native deployment, monitoring, and production support; working knowledge of version control, code review, automated testing, and CI/CD practices.
Experience with SQL and NoSQL databases, data structures, caching mechanisms, data quality, and troubleshooting or optimizing data access and application performance.
Understanding and practical application of REST API best practices and experience integrating APIs, webhooks, authentication and authorization protocols, business applications, and systems of record.
Experience developing unit tests, UI automation tests, integration tests, or evaluations for AI-enabled workflows; familiarity with monitoring and supporting production systems, identifying and resolving issues, and tracking performance or adoption measurements.
Collaborates effectively within an agile or iterative framework with a problem-solving attitude and willingness to take a variety of approaches.
Excellent analytical and time-management skills, with a proven ability to deliver value independently, manage dependencies, and adapt to changing priorities.
Strong written and verbal communication skills, with demonstrated experience providing technical input, explaining complex concepts to technical and nontechnical audiences, and working cross-functionally with engineering, product, AI and Data, and wider organizational initiatives.
Ability to participate in production support or an on-call rotation when required by the supported solution.
Understanding of secure development, access controls, data privacy, operational reliability, and responsible AI practices when working with company, customer, and financial data.
Preferred
Experience working with SaaS offerings in the technology and financial industries, including banking, credit unions, fintech, or another regulated environment.
Experience in a forward-deployed, consulting, implementation, customer engineering, business systems, revenue operations, marketing operations, or other stakeholder-facing technical role.
Experience building and deploying applications or integrations on Amazon Web Services using Kubernetes, event-driven services, infrastructure as code, or comparable cloud technologies.
Experience with modern data warehouses, CRM, customer success, marketing, sales, or conversation-intelligence data and workflows.
Experience in observability, OpenTelemetry, performance optimization, or operational reliability practices.
Working knowledge of MCP or comparable tools for connecting AI systems to business applications, or experience contributing to an internal AI platform, shared engineering foundation, or community of practice.
The salary range for this position is: $128,000 - $160,000
Cool Things to Know
Not Just Any Company: Alkami has an awesome diverse and inclusive environment. We have a FUN culture and offer great benefits, including remote-first environment, unlimited paid time off, 401(k) with employer match, and more.
Work Authorization: We cannot offer employment sponsorship at this time. Candidates must be eligible to work in the US for full-time employment.
Recruiters: We are not looking for outside recruiting firms to help us in this search. Thank you for understanding.
Pay Transparency: As of January 1, 2023, new states and locales have enacted pay equity laws that require more pay transparency by employers in the following states: California, Colorado (effective January 1, 2021), Connecticut, Maryland, Nevada, New Jersey, New York, Ohio, Rhode Island and Washington.
The Important Stuff
Alkami Technology is an Equal Opportunity Employer and Prohibits Discrimination and Harassment of Any Kind: Alkami is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at Alkami are based on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, national, social or ethnic origin, sex (including pregnancy), age, physical, mental or sensory disability, HIV Status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. Alkami will not tolerate discrimination or harassment based on any of these characteristics. Alkami encourages applicants of all ages.
#LI-REMOTE
Qualifications
- Bachelor's degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience.
- Experience with SQL and NoSQL databases, data structures, caching mechanisms, data quality, and troubleshooting or optimizing data access and application performance.
- Experience with modern data warehouses, CRM, customer success, marketing, sales, or conversation-intelligence data and workflows.
About Alkami
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