This position offers a hybrid work option up to 50% remote and is based out of the Sun Prairie, WI; Bloomington, IL or Mankato, MN office location.

The contributions you will make:

This position independently designs, develops, tests, deploys, operates, and improves secure, reliable, maintainable software solutions. Working within a cross-functional product team, this role owns features and moderately complex outcomes from refinement through production, translates product and technical requirements into effective designs and implementations, and makes sound engineering decisions within established architecture and standards. Applies proficient knowledge of the team's programming languages, frameworks, APIs, data patterns, automated testing, CI/CD, cloud-native engineering, observability, DevSecOps, and production support practices; diagnoses moderately complex defects and operational issues; and evaluates trade-offs involving quality, security, performance, reliability, maintainability, and cost. Responsibly applies AI-enabled engineering tools, Agentic AI patterns, and AI agents to improve productivity and solution quality. Contributes technical judgment to team decisions, supports less-experienced engineers, and connects engineering choices to product objectives, client needs, operational risk, and business value.

A typical day:

• Owns software engineering delivery by independently owning features and moderately complex software outcomes from refinement through production. Clarifies technical requirements, decomposes work, designs and implements components and integrations, writes and maintains automated tests, deploys changes, monitors production behavior, and resolves defects. Makes sound implementation decisions within established architecture and remains accountable for security, quality, reliability, performance, maintainability, supportability, accessibility, and completion of assigned outcomes.
• Advances technical mastery and engineering judgment by applying proficient knowledge of the team's programming languages, frameworks, APIs, data access and integration patterns, development tools, and software lifecycle. Designs cohesive components using established architecture and design principles; evaluates implementation options and trade-offs; applies automated testing, debugging, CI/CD, cloud-native, observability, DevSecOps, and production engineering practices; and learns unfamiliar technologies or domain concepts as needed to solve moderately complex problems. Responsibly applies AI-enabled engineering tools and practices, Agentic AI patterns, and AI agents for coding, testing, analysis, documentation, and automation while critically validating outputs, protecting sensitive information, maintaining human accountability, and exercising sound engineering judgment.
• Connects engineering to business outcomes by understanding product goals, client needs, business processes, acceptance criteria, operational expectations, and risk relevant to owned outcomes. Refines requirements with product and business partners, identifies technical implications and constraints, evaluates practical trade-offs, and recommends implementation options that balance delivery needs with sustainable engineering. Operates as a trusted, value-added partner by communicating clearly, bringing technically informed recommendations, and following through on commitments.
• Strengthens Engineering Quality and Team Effectiveness by actively shaping technical design discussions, code reviews, automated testing, deployment readiness, incident response, root-cause analysis, documentation, and continuous improvement for owned work. Identifies design, quality, maintainability, reliability, security, and operational concerns; improves test coverage and observability; helps resolve delivery or production impediments; and contributes reusable practices that improve team effectiveness and software quality.
• Collaborate across teams by working across software and quality engineering, product, architecture, platform, UX, security, data, operations, and business teams to deliver integrated outcomes. Communicates technical decisions, dependencies, risks, and trade-offs clearly; incorporates relevant perspectives; coordinates dependencies; constructively challenges assumptions when evidence warrants; and helps resolve issues that cross component or team boundaries.
• Builds team capability and supports others by sharing engineering knowledge, providing useful review feedback, supporting less tenured engineers and peers, maintaining reusable documentation, and seeking coaching when needed. Continues to expand technical and domain expertise, applies feedback and evidence to improve decisions, and demonstrates accountability, curiosity, trust, resilience, and constructive collaboration while building the depth and leadership capability required for more complex technical ownership.

The skills and experience we prefer you have:

• Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, Information Technology, or a related technical discipline; or an equivalent combination of education and experience.
• Professional knowledge of software engineering principles, data structures, algorithms, software design, debugging, automated testing, and the software development lifecycle.
• Professional experience designing, developing, testing, deploying, or supporting production software using modern programming languages, frameworks, and software engineering practices.
• Experience independently delivering software features or comparable technical outcomes using a modern programming language, Git-based source control, automated testing, and continuous integration and delivery practices.
• Experience analyzing moderately complex software problems, making and communicating implementation or design decisions, evaluating technical trade-offs, and applying secure development, reliability, observability, and quality engineering practices.
• Experience designing or operating cloud-native, API-based, event-driven, distributed, or data intensive application components, preferred.
• Experience with APIs, relational or non-relational data stores, integration patterns, and production troubleshooting, preferred.
• Experience with CI/CD, DevSecOps, observability, automated testing, or production support practices, preferred.
• Experience responsibly applying AI-enabled engineering tools and practices, Agentic AI patterns, AI agents, or intelligent automation throughout the software development lifecycle, preferred.
• Ability to independently design and deliver features, components, integrations, and moderately complex software outcomes using established architecture and engineering patterns and produce clean, maintainable, appropriately documented, and well-tested code through production.
• Ability to analyze and resolve moderately complex software and production problems by using code, logs, metrics, traces, debugging tools, and systematic problem solving to identify root causes, evaluate alternatives, implement durable fixes, and escalate systemic or high-risk concerns appropriately.
• Ability to apply software design principles to define component responsibilities, interfaces, APIs, data models, dependencies, and error-handling approaches; evaluate implementation trade-offs; and make sound design decisions within established architecture, security, and engineering standards.
• Ability to independently use source control, automated testing, build and deployment pipelines, observability, development environments, and delivery tools to move changes safely through the software lifecycle and support them in production.
• Ability to responsibly apply AI-enabled engineering tools and practices, Agentic AI patterns, and AI agents to coding, testing, analysis, documentation, and automation while evaluating generated approaches, validating outputs, protecting sensitive information, maintaining human accountability, and upholding engineering standards.
• Ability to communicate technical designs, implementation choices, defects, dependencies, risks, and trade-offs effectively with technical and non-technical partners; clarify requirements; provide informed recommendations; incorporate feedback; and build trust through reliable follow-through.
• Ability to independently decompose and organize moderately complex work, estimate and communicate progress, coordinate dependencies, adapt to changing priorities, contribute meaningful code and design reviews, and help improve testing, documentation, operational readiness, and team delivery practices.
• Advanced knowledge in one or more areas relevant to the team's software, such as application architecture, cloud-native development, APIs and integration, data persistence, distributed systems, security, or performance, preferred.
• Working knowledge of infrastructure automation, DevSecOps, observability, platform engineering, or production reliability practices, preferred.
• Understanding of financial services, agriculture, or other regulated industries, preferred.
• Proficiency with one or more modern programming languages and application development frameworks used by the team, preferred.

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