Staff Software Engineer, Platform and Integrations

Luminate Bank•Minneapolis, MN

4d•$150,000 - $180,000

About The Position

Luminate Bank is hiring a Staff Software Engineer to design, build, secure, and operate proprietary applications and integrations connecting its banking and mortgage platforms. The role delivers priority business software hands-on, including through approved AI coding agents such as Claude Code, while setting standards for secure delivery, reliable operations, and responsible AI use in a regulated environment where most applications handle nonpublic personal information (NPI). This is an individual contributor role. The engineer will provide technical direction and coaching to a small team; people management remains with the EVP, Technology or a designated manager. Most time is devoted to hands-on engineering, with protected time for design, mentoring, documentation, and cross-training. Early priorities include migrating from Azure DevOps to GitHub, improving key integration reliability, and building applications to fill gaps in vendor platforms.

Requirements

Typically 8 or more years of professional software engineering experience, with a track record of designing, delivering, and supporting production applications.
Technical leadership through architecture, mentoring, code review, and cross-functional delivery; formal people management experience is not required.
Hands-on experience developing applications with AI coding agents, with the judgment to review generated code, test behavior, protect sensitive information, and recognize tool limitations.
Experience shipping through a reviewed delivery pipeline in GitHub, Azure DevOps, GitLab, or a similar platform, and ability to build GitHub-based CI/CD and infrastructure automation.
Experience deploying and operating services that handle sensitive data, with sound application security, identity, secrets management, and incident response practices.
Hands-on experience building API and webhook integrations, including authentication, error handling, data consistency, and production troubleshooting.
Experience solving gaps between third-party vendor platforms and internal business processes.
Strong programming skills in a language such as Python, TypeScript/JavaScript, or C#, plus relational databases, SQL, and API design.
Familiarity with OWASP Top 10, secure SDLC, identity and access management, and protection of NPI.
Ability to understand data flows and dependencies across multiple platforms and design scalable, supportable solutions.
Ability to clearly explain technical tradeoffs, delivery risks, and operational needs to business stakeholders and executive leadership.
A degree in Computer Science, Software Engineering, Computer Engineering, or a related software development field is required.

Nice To Haves

System configuration and development experience in banking or mortgage technology, such as Encompass, Vesta, or Jack Henry, and related point-of-sale, pricing, or document systems.
Experience building or governing production AI agents, including agent skills and instructions, evaluation frameworks, MCP integrations, and runtime controls.
Experience establishing engineering practices for a small team, improving developer workflows, or leading a migration to GitHub.
A bachelor's degree is preferred.
Cloud, security, or DevOps certifications, such as Microsoft Azure, AWS, CompTIA Security+, or GitHub, are a plus.

Responsibilities

Design and build production applications, services, and extensions for banking and mortgage needs, working with business owners to define scope and acceptance criteria.
Build and support integrations using REST APIs, webhooks, events, and scheduled batch exchanges; evaluate vendor capabilities and close gaps between third-party software and Luminate's operations.
Make integrations resilient to failure through authentication, input validation, idempotency, bounded retries, rate limiting, safe replay, and reconciliation.
Own architecture and technical quality for assigned services, including API contracts, automated tests, and support documentation.
Use approved AI coding agents to accelerate implementation, testing, and documentation; review generated code and verify behavior with meaningful tests.
Create reusable AI agent skills, instructions, and patterns with approved model services, scoped tool permissions, and rules for sensitive data and production access.
For prioritized AI-agent business use cases, define permitted actions, evaluation criteria, human approval points, monitoring, and recovery before launch.
Shape and maintain GitHub-based development and release practices, including migration from Azure DevOps in partnership with internal teams and implementation partners.
Build reusable repository templates and CI/CD workflows with automated testing, code and dependency scanning, secret detection, required reviews, and controlled promotion between environments.
Provision and maintain application infrastructure as code using approved hosting, identity, networking, and secrets services.
Maintain engineering documentation alongside code and automate API and release documentation where practical, with named owners reviewing operational procedures.
Implement and verify controls protecting NPI and other sensitive data, including least privilege, secrets management, encryption, access controls, and redacted telemetry.
Work with Information Security, Compliance, and Risk on threat modeling, AI service approvals, vendor reviews, vulnerability remediation, and audit evidence; escalate residual risks to authorized decision makers.
Instrument assigned services with logs, metrics, health checks, and alerts; maintain backup and recovery procedures and test alerts and recovery with named responders and backup owners.
Participate in incident response and critical releases under a defined support and escalation model, using operational data to improve reliability.
Mentor engineers and specialists through pairing, design and code reviews, and knowledge sharing; cross-train the team so services can be supported by people beyond their original authors.
Assist with recruiting, technical interviews, and onboarding, and provide technical feedback supporting team members' development plans alongside their people manager.
Work with the EVP, Technology and delivery stakeholders to sequence priorities, flag capacity constraints, and balance product work, reliability, security remediation, and technical debt.
Partner with Data & Analytics, Business Solutions & Delivery, and IT & Infrastructure; define integration contracts and shared delivery patterns with Data & Analytics, which owns the lakehouse and data quality.