IT Software Engineer

Chicago Heights, United States | Posted on 11/05/2026

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 2 nd round.

Typical task breakdown:

• Leadthe 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, agenticworkflows, retrieval-augmented generation, cloud-native services, APIs,automation, and data-driven application patterns.
• Translate business opportunities, product goals, and technical requirements intoscalable 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 alignedto organizational goals and risk expectations.
• Defineand 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.

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

Education& Experience

Required:

• Bachelor’sdegree (technology-related field) with 8+ years of experience in this capacity
• Nodegree 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 linkageto alternative platforms and software packages.
• Software Product Design/Architecture:
  Knowledge of software product design; abilityto 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’sdegree 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.
• Demonstratedability to lead technical work across the full software developmentlifecycle, including requirements analysis, architecture, design, coding,testing, deployment.
• Experience designing scalable, secure, observable, and maintainable software using modern architecture patterns, APIs, automated testing, CI/CD, and Dev Ops practices.
• Working knowledge of cloud platforms, containerization, infrastructure automation,integration patterns, and production support practices.
• Abilityto communicate complex technical topics clearly to engineering, product,architecture, security, and business stakeholders.
• Demonstrated analytical, problem-solving, and decision-making skills in ambiguous orrapidly 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…