Sr Cloud Software Engineer (AI/ML)

Lead the design, development, and deployment of full-stack software solutions, including RESTful APIs, modern JavaScript-based user interfaces, and scalable cloud-native architectures Architect and implement complex analytical workflows and AI/ML pipelines, integrating models into production systems for AWS services Define and manage data exchange processes between internal and external systems, ensuring secure, high-throughput communication and interoperability Apply deep expertise in software engineering to troubleshoot and resolve intricate system-level issues, using best practices in performance tuning, testing, and code reviews Rapidly prototype intelligent applications and analytical tools to support dynamic client initiatives, leveraging infrastructure-as-code and DevOps automation Evaluate cloud infrastructure and data systems for accuracy, reliability, and cost-efficiency, optimizing deployments across hybrid environments Communicate complex technical concepts clearly across technical, managerial, and customer audiences, translating requirements into actionable solutions Research and analyze customer needs to deliver tailored, scalable, and secure cloud applications with embedded machine learning capabilities Monitor and manage deployed environments, ensuring operational stability, security, and performance Mentor and train team members, sharing expertise in cloud engineering, software development, and AI/ML integration across organizational boundaries We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [email protected] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/. Required Skills & Experience Master's Degree in Computer Science, Engineering, Mathematics, Business Management or equivalent. US Citizen or Green Card Holder (must be eligible to obtain a Public Trust Clearance) 12+ years of general experience in information systems, including at least 8+ years of specialized experience in cloud engineering and full-stack software development Demonstrated success in collaborating with clients to gather requirements and deliver scalable AI/ML-enabled solutions Hands-on experience deploying machine learning models and data pipelines in cloud environments (preferably AWS) Strong understanding of software development lifecycle and agile methodologies, with emphasis on data-driven and intelligent applications Proven expertise in full-stack software development, with a strong foundation in Java or C++ Hands-on experience with modern JavaScript frameworks such as React, and proficiency in NodeJS and Java toolchains (NPM, Angular CLI, Maven) Practical knowledge of deploying and managing applications on AWS using cloud-native methodologies Solid understanding of core web technologies including HTML, CSS, and JSON Ability to architect, build, and maintain scalable full-stack applications in cloud and hybrid environments Experience developing analytical workflows and intelligent data pipelines to support client initiatives Skilled in designing and implementing responsive user interfaces using popular JavaScript frameworks Proficient in building secure, production-grade RESTful web services and APIs Experience deploying and managing distributed messaging systems, particularly Kafka Capable of monitoring, tuning, and maintaining cloud-based environments for performance and reliability Strong background in designing systems that collect, store, and process large-scale data for actionable insights, including AI/ML model integration Comfortable working within agile development teams and contributing to iterative delivery cycles Linux experience Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.