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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead Software Engineer Emerging Tech and AI Cloud Solutions - **Company:** Rose International - **Location:** Chicago, IL, United States - **Experience:** Expert - **Salary:** $145,600.0 - **Contract:** Temporary contract - **Skills:** Java (Programming Language), JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Automation of Tests, C Sharp (Programming Language), Cloud Computing, Cyber Security, Databases, Computer Engineering, Continuous Integration, DevOps, Distributed Systems, Python (Programming Language), Machine Learning, Software Architecture, Software Maintenance, Systems Development Life Cycle, Software Tools, Software Engineering, Software Systems, Systems Integration, Strategies of Testing, TypeScript, Enterprise Software Applications, Retrieval-Augmented Generation, Model Validation, Generative AI, Agentic-AI, Event Driven Architecture, Containerization, Kubernetes, Infrastructure Automation Frameworks, Information Technology, Data Analytics, Api Management, Serverless Computing, Golang, Programming Languages, Microservices - **Published:** November 5, 2026 - **Apply:** https://www.dice.com/job-detail/64d54d1a-7d8f-4bb6-ae9e-0d8f7d344cf0 ## About the Role Must Have Skills/Attributes: API, Product Design, Software Development, Software Development (8 yrs), Software Integration (8 yrs), Software Product Design and Architecture (8 yrs), Software Product technical knowledge and testing (8 yrs) Required Minimum Education: Bachelor's Degree Preferred Education: Master's Degree Preferred Certifications/Licenses: Cloud, AI/ML, or Software Architecture **C2C is not available**, Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, Information Technology, or related field Preferred Education: - Master's degree Preferred Certifications: - Cloud certification - AI/ML certification - Software Architecture certification, 8+ years of experience - 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 - 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 Skills: - 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 ## Description 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 * **Only those lawfully authorized to work in the designated country associated with the position will be considered.** * **Please note that all Position start dates and duration are estimates and may be reduced or lengthened based upon a client's business needs and requirements.**