Position Type: Remote Contract Length: 6 months + extensions Position Overview: The RPG/COBOL Developer will design, enhance, and support Infor Lawson applications by creating custom programs, reports, integrations, and workflows using RPG, COBOL, AS/400, CL, and SQL. This role focuses on troubleshooting and debugging Lawson systems, developing interfaces, extracting and reporting data, and translating business requirements into reliable technical solutions. Experience modifying existing Lawson applications is required, and manufacturing industry experience is a plus. Required Skills: - Expertise in Lawson (LID), RPG, COBOL, CL, and IBM i/AS400 development - Experience with Infor Lawson tools such as LID, Process Flow/IPA, and Lawson Portal - Familiarity with Lawson database structures and product-line tables - Experience troubleshooting and debugging Lawson applications and integrations - Strong SQL skills for data extraction, reporting, and query optimization - Ability to develop and maintain interfaces between Lawson modules and external systems - Ability to analyze business requirements and translate them into technical specifications - Experience conducting unit, integration, and system testing - Strong documentation skills for technical designs, procedures, and system changes - Ability to work collaboratively with cross-functional teams and support end users - Solid understanding of SDLC, version control, and change management practices Duties: - Create new applications, reports, and customizations using tools such as RPG, COBOL, SQL & AS/400 Control Language (CL) and Lawson Interface Desktop (LID) - Troubleshoot technical issues within Lawson applications, debug problems, and provide expert-level functional support to the user community - Create and maintain interfaces between different Lawson modules and external systems/vendors - Write SQL queries and use other tools to extract data and deliver reports, dashboards, and automated notifications - Automate business tasks and workflows by developing Lawson Process Flows or other programming solutions - Analyze user needs and business requirements to translate them into formal specifications and program designs - Conduct unit, integration, and system testing for new or modified programs to ensure efficiency and reliability - Compile and document procedures used throughout the software development life cycle, including design, testing, and revisions - Enhance the system's web user interface to maximize user experience and make the system more user-friendly

Requisition Number: 104198 Principal Software Engineer, AI Solutions Location: You will have the flexibility to work fully remote from anywhere across the US. Insight at a Glance - 14,000+ engaged teammates globally - $8.2 billion in revenue in 2025 - Placed on Newsweek’s America’s Greatest Workplaces for 2025 Now is the time to bring your expertise to Insight. We are not just a tech company; we are a people-first company. We believe that by unlocking the power of people and technology, we can accelerate transformation and achieve extraordinary results. As a Fortune 500 Solutions Integrator with deep expertise in cloud, data, AI, cybersecurity, and intelligent edge, we guide organisations through complex digital decisions. About the role As a Principal Software Engineer (PSE), AI Solutions, you will play a senior, hands-on role in building and delivering AI-powered solutions that support our clients’ transformation initiatives. You will work closely with AI Architects and cross‑functional teams to implement scalable, high-quality systems across AI, cloud, data, and software engineering. This role is ideal for experienced engineers who enjoy deep technical execution, solution-level design, and mentoring, and who want to operate at the leading edge of applied AI without owning enterprise-wide architecture or technical strategy. As a Principal Software Engineer, you will: - Design and implement solution-level components for AI, ML and data science initiatives. - Translate business and technical requirements into detailed designs, code, and implementation plans. - Serve as a technical lead for AI-focused workstreams, ensuring high-quality execution and delivery outcomes. - Build, test, and deploy AI, ML, cloud, analytics, and software solutions in production environments. - Collaborate closely with AI Architects to align implementation decisions with broader architectural intent. - Contribute to technical excellence through code reviews, mentoring engineers, and sharing best practices. - Support presales and discovery activities by contributing technical insight, estimates, and feasibility assessments. - Stay current with emerging AI technologies and help apply them pragmatically to client solutions. What we’re looking for - Bachelor’s degree in a technical field or equivalent hands-on engineering experience. - Strong experience in software engineering with demonstrated delivery of complex, production-grade systems. - Practical depth in at least one of the following areas, with working knowledge across others: - AI/ML & Agentic Systems - Implementing GenAI and agentic workflows - Integrating LLMs, embeddings, and retrieval systems - Supporting ML/LLMOps pipelines and experimentation frameworks - Cloud Engineering - Building cloud-native applications on Azure and/or AWS - Applying distributed systems and scalability patterns - Data Engineering & Analytics - Implementing data pipelines, vector stores, and analytics workloads - Working with structured and unstructured data sources - Software Engineering - Proficiency in Python, SQL, Java, C++, or similar languages - Experience with modern frameworks, DevOps practices, and CI/CD pipelines Preferred Certifications (or equivalent experience) - AWS: ML Specialty, AI Practitioner, ML Engineer, or Solutions Architect - Azure: AI Engineer Associate, Data Scientist Associate, Generative AI Fundamentals - Databricks: ML Associate, Data Engineer Associate, Generative AI Engineer Associate Who You Are - A strong technologist who communicates effectively with engineers, architects, and project stakeholders. - Comfortable operating in delivery-focused consulting environments with multiple priorities. - Collaborative by nature and effective working within cross-functional teams. - Experienced mentoring other engineers through example, code reviews, and technical guidance. - Motivated by building real-world AI systems that deliver measurable business value. What you can expect We’re legendary for taking care of you, your family and to help you engage with your local community. We want you to enjoy a full, meaningful life and own your career at Insight. Some of our benefits include: - Freedom to work from another location—even an international destination—for up to 30 consecutive calendar days per year. - Full medical, dental, vision, and company 401k match. But what really sets us apart are our core values of Hunger, Heart, and Harmony, which guide everything we do, from building relationships with teammates, partners, and clients to making a positive impact in our communities. Join us today, your ambITious journey starts here. When you apply, please tell us the pronouns you use and any reasonable adjustments you may need during the interview process. At Insight, we celebrate diversity of skills and experience so even if you don’t feel like your skills are a perfect match - we still want to hear from you! Insight does not accept unsolicited resumes from recruiters or employment agencies. Unsolicited resumes will be treated as direct applications from the candidate, and recruiters or agencies who submit candidates for this position without a prior, written vendor agreement will not be eligible for any form of compensation, even if the candidate is hired. Salary Range - $130,000 - $150,000 The position described above provides a summary of some the job duties required and what it would be like to work at Insight. For a comprehensive list of physical demands and work environment for this position, click here. Insight 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, sexual orientation or any other characteristic protected by law. Posting Notes: Chandler || Arizona (US-AZ) || United States (US) || IT Infrastructure & Support; Data & AI || None || US - Chandler,AZ ||

Requisition Number: 104152 Senior Software Engineer – AI Solutions Location: You will have the flexibility to work fully remote from anywhere across the US. Insight at a Glance - 14,000+ engaged teammates globally - $8.2 billion in revenue in 2025 - Placed on Newsweek’s America’s Greatest Workplaces for 2025 Now is the time to bring your expertise to Insight. We are not just a tech company; we are a people-first company. We believe that by unlocking the power of people and technology, we can accelerate transformation and achieve extraordinary results. As a Fortune 500 Solutions Integrator with deep expertise in cloud, data, AI, cybersecurity, and intelligent edge, we guide organisations through complex digital decisions. About the role As a Senior Software Engineer (SSE), AI Solutions, you will play a hands-on role in building and delivering AI-powered solutions that support our clients’ transformation initiatives. You will work closely with AI Architects, Principal Engineers, and cross-functional teams to implement scalable, high-quality systems across AI, cloud, data, and software engineering. This role is ideal for experienced engineers who enjoy strong technical execution, contributing to solution-level design, and growing toward technical leadership while operating at the leading edge of applied AI. As a Senior Software Engineer, AI Solutions, you will: - Design and implement components for AI, ML, and data science initiatives. - Translate business and technical requirements into well-structured designs, code, and implementation tasks. - Contribute as a senior individual contributor on AI-focused workstreams, supporting high-quality execution and delivery outcomes. - Build, test, and deploy AI, ML, cloud, analytics, and software solutions in production environments. - Collaborate with AI Architects and senior engineers to align implementation decisions with broader architectural direction. - Contribute to technical excellence through code reviews, shared ownership of quality, and knowledge sharing. - Support discovery and delivery activities by providing technical input, estimates, and feasibility feedback. - Stay current with emerging AI technologies and apply them thoughtfully to client solutions. What we’re looking for - Bachelor’s degree in a technical field or equivalent hands-on engineering experience. - Solid experience in software engineering with delivery of production-grade systems. - Practical experience in one or more of the following areas, with working knowledge across others: - AI/ML & Agentic Systems - Implementing GenAI solutions and agent-based workflows - Integrating LLMs, embeddings, and retrieval systems - Supporting ML/LLMOps pipelines and experimentation frameworks - Cloud Engineering - Building cloud-native applications on Azure and/or AWS - Applying distributed systems and scalability patterns - Data Engineering & Analytics - Implementing data pipelines, vector stores, and analytics workloads - Working with structured and unstructured data sources - Software Engineering - Proficiency in Python, SQL, Java, C++, or similar languages - Experience with modern frameworks, DevOps practices, and CI/CD pipelines Preferred Certifications (or equivalent experience) - AWS: ML Specialty, AI Practitioner, ML Engineer, or Solutions Architect - Azure: AI Engineer Associate, Data Scientist Associate, Generative AI Fundamentals - Databricks: ML Associate, Data Engineer Associate, Generative AI Engineer Associate Who You Are - A capable technologist who communicates clearly with engineers, architects, and stakeholders. - Comfortable operating in delivery-focused environments with guidance from senior leaders. - Collaborative and effective working within cross-functional teams. - Motivated to grow through mentorship, feedback, and hands-on experience. - Driven to build real-world AI systems that deliver measurable business value. What you can expect We’re legendary for taking care of you, your family and to help you engage with your local community. We want you to enjoy a full, meaningful life and own your career at Insight. Some of our benefits include: - Freedom to work from another location—even an international destination—for up to 30 consecutive calendar days per year. - Full medical, dental, vision, and company 401k match. But what really sets us apart are our core values of Hunger, Heart, and Harmony, which guide everything we do, from building relationships with teammates, partners, and clients to making a positive impact in our communities. Join us today, your ambITious journey starts here. When you apply, please tell us the pronouns you use and any reasonable adjustments you may need during the interview process. At Insight, we celebrate diversity of skills and experience so even if you don’t feel like your skills are a perfect match - we still want to hear from you! Insight does not accept unsolicited resumes from recruiters or employment agencies. Unsolicited resumes will be treated as direct applications from the candidate, and recruiters or agencies who submit candidates for this position without a prior, written vendor agreement will not be eligible for any form of compensation, even if the candidate is hired. Salary Range - $120,000 - $135,000 The position described above provides a summary of some the job duties required and what it would be like to work at Insight. For a comprehensive list of physical demands and work environment for this position, click here. Insight 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, sexual orientation or any other characteristic protected by law. Posting Notes: Remote || Arizona (US-AZ) || United States (US) || Engineering || None || Remote ||

Overview The HPC/AI (High performance Computing and Artificial Intelligence) team is on a mission to build the next-generation distributed AI supercomputer, enabling breakthroughs in artificial intelligence by delivering unmatched computational power, scalability and reliability. We design and develop cutting-edge infrastructure that supports high-performance AI model training at scale, laying the foundation for innovations that redefine what AI can achieve.This role focuses on developing next-generation networking capabilities to ensure high performance, low latency, and minimal jitter for distributed AI workloads. You will play a critical role in enabling state-of-the-art AI systems to achieve their full potential. As a Software Engineer II on the HPC/AI team, you will play a pivotal role in shaping the next-generation networking infrastructure for AI training and inference in Azure Cloud. This is a unique opportunity to work at the intersection of two of the hottest fields in technology: AI and high-performance computing. With the explosive growth of generative AI and the increasing demand for large-scale, low-latency systems, this area is at the forefront of innovation and impact. You will work across diverse network architectures and cutting-edge processor and accelerator technologies, driving the design and delivery of a comprehensive, end-to-end solution with a relentless focus on performance, scalability, and observability. If you’re passionate about groundbreaking technology, large-scale systems, and AI infrastructure, join us to build the platform that will power the future of AI supercomputing! Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. By applying to this U.S. based position, while remote work is possible, relocation does not apply/is not provided for the role. Responsibilities - Design, develop, and optimize networking solutions tailored for large-scale AI training infrastructure. Architect and implement high-performance, low-latency, and low-jitter communication frameworks for distributed systems. - Benchmark, analyze, and enhance the scalability and reliability of networking systems to handle petabyte-scale data transfer. - Debug and resolve complex networking issues in large-scale, high-performance environments. - Drive identification of dependencies and the development of design documents for a product, application, service, or platform. - Create, implement, optimize, debug, refactor, and reuse code to establish and improve performance and maintainability, effectiveness, and return on investment (ROI). - Act as a Designated Responsible Individual (DRI) and guides other engineers by developing and following the playbook, working on call to monitor system/product/service for degradation, downtime, or interruptions, alerting stakeholders about status and initiates actions to restore system/product/service for simple and complex problems when appropriate. - Proactively seek new knowledge and adapts to new AI trends, technical solutions, and patterns that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale. Other - Embody our Culture and Values Qualifications Required Qualifications: - Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python - OR equivalent experience. Other Requirements: - Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: - Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter. Preferred Qualifications: - Bachelor's Degree in Computer Science - OR related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, OR Python - OR Master's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python - OR equivalent experience. Software Engineering IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $131,400 - $215,400 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.