IT Software Engineer 4

Job Title: IT Software Engineer 4 Chicago (Ideal location), Peoria, Irving, TX, and Broomfield, CO, but open to 100% remote Duration: 12 months Screening interview during the technical interview, then a 2nd round.

Typical

task breakdown:

• Lead the architecture, design, development, and testing of modern software solutions, prototypes, pilots, and reusable platform capabilities.
• Evaluate, prototype, and apply emerging technologies such as generative AI, agentic workflows, retrieval-augmented generation, cloud-native services, APIs, automation, and data-driven application patterns.
• Translate business opportunities, product goals, and technical requirements into scalable software designs, solution patterns, technical roadmaps, and implementation plans.
• Mentor engineers, provide technical direction, facilitate design reviews, and promote a culture of experimentation, learning, engineering excellence, and responsible technology adoption.
• Collaborate with product managers, architects, data scientists, cybersecurity, infrastructure, UX, and business stakeholders to deliver solutions aligned to organizational goals and risk expectations.
• Define and implement technical evaluation methods, including proof-of-concept success criteria, model or system performance measures, quality gates, automated testing, monitoring, and production readiness reviews.
• Identify technical risks, dependencies, integration needs, security considerations, and operational constraints early in the solution lifecycle and recommend practical mitigation strategies.

Work

environment:

2-3 days a week in the office and for the other offices, it is as needed basis. A full return could happen at any point.

Education

& Experience Required:

• Bachelor’s degree (technology-related field) with 8+ years of experience in this capacity
• No degree than 10_ years in this capacity.

Required Technical Skills

(Required)

• Decision Making and Critical Thinking: Knowledge of the decision-making process and associated tools and techniques; ability to accurately analyze situations and reach productive decisions based on informed judgment.
• Software Development: Knowledge of software development tools and activities; ability to produce software products or systems in line with product requirements.
• Software Development Life Cycle: Knowledge of software development life cycle; ability to use a structured methodology for delivering and managing new or enhanced software products to the marketplace.
• Software Integration Engineering: Knowledge of software integration processes and functions; ability to design, develop and maintain interfaces and linkage to alternative platforms and software packages.
• Software Product Design/Architecture: Knowledge of software product design; ability to convert market requirements into the software product design.
• Software Product Technical Knowledge: Knowledge of technical aspects of a software products; ability to design, configure and integrate technical aspects of software products.

Software Product Testing: Knowledge of software product testing; ability to design, plan, and execute testing strategies and tactics to ensure software product quality and adherence to stated requirements.

Considerations

For Top Candidates:

• Bachelor’s degree in Computer Science, Software Engineering, Computer Engineering, Information Technology, or a related technical discipline; equivalent practical experience may be considered.
• Progressive professional experience in software engineering, including hands-on development of complex applications, distributed systems, APIs, platforms, or cloud-native services.
• Demonstrated ability to lead technical work across the full software development lifecycle, including requirements analysis, architecture, design, coding, testing, deployment.
• Strong proficiency in one or more modern programming languages such as Python, Java, JavaScript/TypeScript, C#, Go, or similar languages.
• Experience designing scalable, secure, observable, and maintainable software using modern architecture patterns, APIs, automated testing, CI/CD, and DevOps practices.
• Working knowledge of cloud platforms, containerization, infrastructure automation, integration patterns, and production support practices.
• Ability to communicate complex technical topics clearly to engineering, product, architecture, security, and business stakeholders.
• Demonstrated analytical, problem-solving, and decision-making skills in ambiguous or rapidly evolving technical environments.

Preferred

Qualifications

• Experience building or integrating AI, machine learning, generative AI, large language model, agentic, retrieval-augmented generation, vector database, or prompt-based solutions.
• Experience taking emerging technology concepts from proof of concept through pilot, production hardening, governance review, adoption, and operational support.
• Familiarity with responsible AI practices, model evaluation, guardrails, data privacy, cybersecurity, compliance, and enterprise risk management considerations.
• Experience with modern cloud services, serverless architectures, Kubernetes, microservices, event-driven architecture, API management, observability platforms, and infrastructure-as-code.
• Experience partnering with product, design, data, security, architecture, and business teams to identify high-impact use cases and deliver measurable business outcomes.
• Proven ability to mentor engineers, influence technical direction without direct authority, and establish reusable engineering standards, patterns, frameworks, or accelerators.
• Advanced degree, cloud certification, AI/ML certification, software architecture certification, or demonstrated contribution to technical communities, open-source projects, patents, publications, or internal innovation initiatives.