Sr Software Engineer

Job Description

Job Description

Empowered to live. Inspired to work.
Compeer Financial is a member-owned cooperative located in Illinois, Minnesota and Wisconsin. We bring together team members with a variety of backgrounds and experiences to help provide financial services to support agriculture and rural communities. Join us in a culture that not only promotes meaningful work and professional development, but provides a flexible, hybrid work environment and excellent benefits, which empower you to thrive both personally and professionally.

How we support you:

• Hybrid model – up to 50% work from home
• Flexible schedules including ample flexibility in the summer months
• Up to 9% towards 401k (3% fixed Compeer contribution plus up to 6% match)
• Benefits: medical, dental, vision, HSA/FSA, life & AD&D insurance, short-term and long-term disability, wellness program & EAP
• Vacation, sick leave, holidays/floating holidays, parental leave, and volunteer paid time off
• Learning and development programs
• Mentorship programs
• Cross-functional committee opportunities (i.e. Inclusion Council, emerging professional groups, etc.)
• Professional membership/certification reimbursement and more!

Casual/seasonal & intern team members are not eligible for benefits except for state-mandated programs.

To learn more about Compeer Financial visit  

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

The contributions you will make:  

This position leads the design, development, testing, deployment, operation, and continuous improvement of secure, reliable, scalable, and maintainable software solutions. Working within a crossfunctional product team and across adjacent components or services as needed, this role owns complex and ambiguous software outcomes from refinement through production, translates product needs and technical constraints into cohesive designs, and makes significant engineering decisions within the team's domain. Applies deep knowledge of the team's programming languages, frameworks, APIs, data patterns, software design, automated testing, CI/CD, cloud-native engineering, observability, DevSecOps, and production support practices; diagnoses complex defects and operational issues; and evaluates trade-offs involving architecture, quality, security, performance, reliability, maintainability, supportability, and cost. Applies AI-enabled engineering tools and practices, Agentic AI patterns, and AI agents to improve engineering productivity, quality, learning, and solution capabilities. Provides technical leadership, mentors less-experienced engineers, and partners with product, architecture, platform, quality, security, and business stakeholders to deliver measurable client and business value. 

A typical day:  

• Own software engineering delivery by leading the design, development, testing, deployment, operation, and continuous improvement of complex, ambiguous, and cross-component software outcomes from refinement through production. Decomposes outcomes, establishes solution approaches, designs components and integrations, coordinates dependencies, and remains accountable for security, quality, reliability, 
  performance, scalability, maintainability, supportability, accessibility, and completion of owned outcomes. Makes significant technical decisions within the team or domain and escalates decisions that require broader enterprise architecture or specialized expertise.
• Advances technical mastery and engineering judgment by applying deep knowledge of the team's programming languages, frameworks, software design principles, APIs, data patterns, integration approaches, testing, ebugging, CI/CD, cloud-native engineering, observability, DevSecOps, and production operations. Evaluates architecture and implementation options, identifies technical risks and debt, selects appropriate patterns, and solves complex technical problems using evidence and experimentation. Rapidly acquires unfamiliar technology and domain knowledge when needed. 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 expert engineering judgment.
• Connects engineering to business outcomes by understanding product strategy, client needs, business processes, operational expectations, risk, and technical context and translating them into practical engineering options and recommendations. Clarifies complex intent, identifies technical implications, frames trade-offs, anticipates downstream impacts, and influences solution choices that balance near-term delivery with sustainable engineering and measurable business value. Operates as a trusted, valueadded partner by bringing technically informed perspectives and following through on commitments.
• Strengthens engineering quality and team effectiveness by leading technical design discussions, design and code reviews, quality practices, test strategy, deployment readiness, incident response, root-cause analysis, and continuous improvement for complex outcomes. Establishes or improves team engineering practices and reusable approaches that strengthen software quality, security, reliability, observability, resilience, maintainability, and operational excellence. Identifies systemic impediments and helps the team resolve complex delivery or production problems.
• Collaborates across teams by aligning software and quality engineering, product, architecture, platform, UX, security, data, operations, and business partners around shared technical outcomes. Communicates complex technical decisions, dependencies, risks, and trade-offs clearly; synthesizes diverse perspectives; coordinates cross-component and cross-team dependencies; constructively challenges assumptions; and influences without relying solely on formal authority. Provides technical context that enables informed, calculated decisions within established guardrails.
• Builds team capability and support others by mentoring less tenured software engineers, sharing technical expertise, providing meaningful review and coaching feedback, and contributing reusable guidance, 
  patterns, and documentation. Helps others strengthen design, problemsolving, production, and engineering practices; transfers learning across situations; and continues to expand technical and domain expertise.

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.
• Demonstrated professional experience designing, developing, testing, deploying, and supporting production software using modern programming languages, frameworks, software design 
  principles, and engineering practices.
• Experience independently leading end-to-end delivery of complex features, services, integrations, or comparable technical outcomes from refinement through production using Git-based source control, automated testing, continuous integration and delivery, and production support practices.
• Experience making significant software design or technical decisions within a team or domain, evaluating architecture and operational trade-offs, diagnosing complex problems, and applying secure development, quality engineering, reliability, observability, and maintainability practices.
• Experience mentoring engineers, leading technical discussions or reviews, coordinating dependencies across team boundaries, and applying new technologies or domain knowledge to improve engineering and business outcomes.
• Experience designing and operating cloud-native, API-based, event-driven, distributed, or dataintensive solutions, preferred.
• Experience with software architecture and design patterns, APIs and integrations, data persistence, performance, reliability, or production diagnostics, preferred.
• Experience responsibly applying and advancing AI-enabled engineering tools and practices, Agentic AI patterns, AI agents, or intelligent automation throughout the software development lifecycle, preferred.
• Experience within financial services, agriculture, or another regulated industry, preferred.

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How we will take care of you:

Our job titles may span more than one career level (associate, senior, principal, etc.). The actual title and base pay offered is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role is eligible for variable compensation and other benefits.

Base Pay

$105,700—$160,300 USD

Compeer Financial is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

Must be authorized to work for any employer in the United States. Compeer is unable to sponsor or take over sponsorship of an employment visa at this time.

Click here to view federal employment laws applicable for applicants.