Senior Software Engineer

JR Recruiting•Chicago, IL

3d•Remote

About The Position

We are seeking a hands-on Senior Software Engineer to join a high-performing technology team. In this role, you will combine technical excellence with curiosity and a passion for solving complex, real-world business problems. You will help drive digital transformation through automation, workflow optimization, and scalable software solutions that improve operational efficiency and business outcomes. As a Senior Engineer, you will shape and build strategic solutions end-to-end, contributing to architecture, writing production-quality code, and leading technical discussions that turn ideas into reality. You will drive innovation through technical leadership and influence, helping elevate engineering practices, mentoring team members, and advancing technical initiatives across the organization. We are looking for someone with strong, hands-on experience building production-grade solutions using AI and LLM-based development frameworks, including automation and autonomous agent systems within enterprise environments. If you enjoy solving meaningful challenges while combining software development expertise with technical leadership, we would like to hear from you. Location: Candidates must reside in Minnesota, Illinois, or the Kansas City metropolitan area.

Requirements

8+ years of experience designing, developing, implementing, and supporting commercial software applications across multiple platforms.
Demonstrated success delivering increasingly complex technical projects and solutions.
8+ years of experience with modern software development technologies, including: .NET Core C# TypeScript Comparable object-oriented programming languages and frameworks
Experience with front-end web development technologies, including HTML, CSS, JavaScript, TypeScript, and modern web frameworks.
Experience leveraging AI-assisted development tools, coding assistants, and agent-based engineering workflows to improve productivity and software quality.
Ability to critically evaluate, validate, and take ownership of AI-generated or tool-assisted outputs before production use.
Strong experience with relational databases such as Microsoft SQL Server or Oracle, including: Data modeling and schema design Stored procedures Query optimization Performance tuning
Experience with NoSQL technologies such as MongoDB, Elasticsearch, Cosmos DB, or similar platforms.
Strong understanding of: RESTful APIs HTTP protocols Distributed systems System integration patterns
Experience with automated testing methodologies, including unit, integration, acceptance, and regression testing.
Experience using source control and collaboration platforms such as Git, GitHub, Azure DevOps, or similar tools.
Experience with CI/CD pipelines, build automation, release management, and deployment processes.
Experience building, deploying, or supporting cloud-native applications using Azure, AWS, GCP, or similar cloud platforms.
Strong knowledge of secure software development, observability, maintainability, and operational support practices.
Bachelor's degree in Computer Science, Software Engineering, Information Systems, MIS, or a related field; equivalent professional experience may be considered.

Responsibilities

Analyze and translate business, product, and stakeholder requirements into detailed technical solutions that address complex business challenges.
Design and implement scalable solutions aligned with long-term product, platform, and enterprise technology strategies.
Define APIs, service boundaries, data contracts, and integration patterns while developing high-quality software and contributing to architectural decisions.
Utilize modern AI-assisted development tools, coding assistants, and agentic engineering workflows to improve development, testing, documentation, debugging, and operational support activities.
Apply sound engineering judgment to validate AI-generated outputs for security, quality, maintainability, performance, licensing, and architectural alignment.
Break complex initiatives into actionable components while maintaining accountability for solution quality and delivery.
Build and maintain automated testing frameworks, quality controls, regression testing processes, and deployment safeguards.
Identify opportunities to optimize, refactor, standardize, and reuse code to improve performance, scalability, maintainability, and efficiency.
Lead code reviews, including review of AI-assisted code contributions, while driving issue resolution and continuous improvement.
Troubleshoot and resolve production issues related to application performance, reliability, availability, and scalability.
Develop and maintain technical, architectural, operational, and decision documentation.
Implement secure software development practices and proactively address vulnerabilities throughout the software lifecycle.
Estimate delivery timelines, resource requirements, risks, dependencies, and technical complexity for projects and initiatives.
Evaluate emerging technologies, frameworks, tools, and automation opportunities to improve engineering effectiveness and business results.
Present recommendations for technology adoption, automation, AI-assisted development practices, and engineering improvements.
Mentor and coach engineers on software design, development best practices, AI-assisted workflows, testing methodologies, and operational excellence.
Partner cross-functionally with engineering, architecture, product, and business stakeholders to drive successful outcomes.
Improve engineering lifecycle processes through automation, tooling, CI/CD enhancements, monitoring solutions, templates, and documentation standards.
Lead initiatives that strengthen development practices, team productivity, and technical excellence.
Perform additional responsibilities as assigned.