{"schemaVersion":"jobsearcher.job.v1","id":"c79ebff88d7d60e3066a1c29","url":"https://jobsearcher.com/jobs/c79ebff88d7d60e3066a1c29","canonicalUrl":"https://jobsearcher.com/jobs/c79ebff88d7d60e3066a1c29","title":"Senior Software Cloud Fullstack Developer (Self Driving)","description":"Senior Software Cloud Fullstack Developer (Self Driving)\r\nNormal, IL\r\nJob ID#: 3829\r\nCategory: Manufacturing\r\nPosition Type\r\nContractor (W-2)\r\nJob Description\r\nJob Title: Staff AI/ML Full-Stack Engineer & Technical Lead (Contract ? 1 Year)\r\nLocation: Remote (Normal, IL)\r\nEmployment Type: Full-Time\r\nOverview\r\nWe're hiring a Staff AI/ML Engineer & Technical Lead to own the architecture and delivery of scalable, enterprise-grade AI applications. This is a hands-on leadership role spanning full-stack development, cloud infrastructure, and end-to-end ML system design.\r\nResponsibilities\r\nLead system architecture, technology selection, and integration design\r\nBuild and scale full-stack applications (React/Vue/Streamlit/Angular + Python/Golang/Rust)\r\nDesign and deploy cloud-native systems on AWS using Docker and Kubernetes\r\nDevelop REST and GraphQL APIs for internal and external use\r\nImplement CI/CD pipelines, automated testing, and IaC (Terraform, Pulumi)\r\nOptimize performance, scalability, and reliability across systems\r\nMentor engineers and enforce best practices through code/design reviews\r\nPartner with product and business teams to deliver impactful solutions\r\nRequirements\r\nStrong experience in full-stack engineering and system architecture\r\nDeep knowledge of AWS and Databricks (required); GCP is a plus\r\nExpertise in database selection, deployment, and DevOps practices\r\nHands-on experience with ML and LLM systems (RAG, vector DBs, embeddings)\r\nSolid understanding of MLOps, including deployment and monitoring pipelines\r\nExperience building and deploying production-grade AI/ML applications end-to-end\r\nJob Requirements\r\nRequired Qualifications\r\nBachelor's degree in Computer Science (required)\r\n10+ years of enterprise cloud deployment experience; 5+ years in software development\r\n5+ years of hands-on experience with AWS and Databricks in MLOps environments\r\nStrong background as a hands-on software lead building cloud infrastructure and platforms\r\nCore Expertise\r\nArchitect and deploy end-to-end AI/ML systems, including traditional ML and RAG-based applications\r\nDesign agentic AI pipelines and reusable frameworks for team-wide contribution\r\nDefine best practices for model serving, data pipelines, and MLOps strategies\r\nHands-on experience with model development and system architecture\r\nTechnical Skills\r\nExpertise in ML, deep learning, LLMs, embeddings, and RAG frameworks\r\nStrong software engineering skills: Python, APIs, microservices, database design, Git\r\nExperience with AWS, Databricks (required), and GCP (preferred)\r\nProficiency in containerization and orchestration (Docker, Kubernetes)\r\nSolid understanding of MLOps, CI/CD for AI, and production monitoring\r\nExperience with distributed systems, scalable architectures, and data pipelines\r\nDatabase selection, deployment, and optimization with strong DevOps practices\r\nPreferred Qualifications\r\nExperience with event-driven architectures and messaging systems (Kafka, RabbitMQ, NATS)\r\nFamiliarity with authentication/authorization (OAuth2, JWT, SSO)\r\nKnowledge of observability tools (Prometheus, Grafana, OpenTelemetry)\r\nExperience building large-scale enterprise or SaaS platforms\r\nProficiency in Python, Golang, or Rust\r\nExperience in manufacturing, predictive maintenance, or controls engineering\r\nSoft Skills\r\nStrong problem-solving and decision-making in complex technical environments\r\nAbility to lead architectural direction and influence across teams\r\nClear communication with both technical and non-technical stakeholders\r\nJ-18808-Ljbffr","company":"Stefanini","rawCompany":"stefanini","city":"Springfield","state":"IL","isRemote":false,"isActive":false,"createdAt":"2026-07-04T02:42:40.516Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1251.00","title":"Computer Programmers","slug":"computer-programmers"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Software Cloud Fullstack Developer (Self Driving)","description":"Senior Software Cloud Fullstack Developer (Self Driving)\r\nNormal, IL\r\nJob ID#: 3829\r\nCategory: Manufacturing\r\nPosition Type\r\nContractor (W-2)\r\nJob Description\r\nJob Title: Staff AI/ML Full-Stack Engineer & Technical Lead (Contract ? 1 Year)\r\nLocation: Remote (Normal, IL)\r\nEmployment Type: Full-Time\r\nOverview\r\nWe're hiring a Staff AI/ML Engineer & Technical Lead to own the architecture and delivery of scalable, enterprise-grade AI applications. This is a hands-on leadership role spanning full-stack development, cloud infrastructure, and end-to-end ML system design.\r\nResponsibilities\r\nLead system architecture, technology selection, and integration design\r\nBuild and scale full-stack applications (React/Vue/Streamlit/Angular + Python/Golang/Rust)\r\nDesign and deploy cloud-native systems on AWS using Docker and Kubernetes\r\nDevelop REST and GraphQL APIs for internal and external use\r\nImplement CI/CD pipelines, automated testing, and IaC (Terraform, Pulumi)\r\nOptimize performance, scalability, and reliability across systems\r\nMentor engineers and enforce best practices through code/design reviews\r\nPartner with product and business teams to deliver impactful solutions\r\nRequirements\r\nStrong experience in full-stack engineering and system architecture\r\nDeep knowledge of AWS and Databricks (required); GCP is a plus\r\nExpertise in database selection, deployment, and DevOps practices\r\nHands-on experience with ML and LLM systems (RAG, vector DBs, embeddings)\r\nSolid understanding of MLOps, including deployment and monitoring pipelines\r\nExperience building and deploying production-grade AI/ML applications end-to-end\r\nJob Requirements\r\nRequired Qualifications\r\nBachelor's degree in Computer Science (required)\r\n10+ years of enterprise cloud deployment experience; 5+ years in software development\r\n5+ years of hands-on experience with AWS and Databricks in MLOps environments\r\nStrong background as a hands-on software lead building cloud infrastructure and platforms\r\nCore Expertise\r\nArchitect and deploy end-to-end AI/ML systems, including traditional ML and RAG-based applications\r\nDesign agentic AI pipelines and reusable frameworks for team-wide contribution\r\nDefine best practices for model serving, data pipelines, and MLOps strategies\r\nHands-on experience with model development and system architecture\r\nTechnical Skills\r\nExpertise in ML, deep learning, LLMs, embeddings, and RAG frameworks\r\nStrong software engineering skills: Python, APIs, microservices, database design, Git\r\nExperience with AWS, Databricks (required), and GCP (preferred)\r\nProficiency in containerization and orchestration (Docker, Kubernetes)\r\nSolid understanding of MLOps, CI/CD for AI, and production monitoring\r\nExperience with distributed systems, scalable architectures, and data pipelines\r\nDatabase selection, deployment, and optimization with strong DevOps practices\r\nPreferred Qualifications\r\nExperience with event-driven architectures and messaging systems (Kafka, RabbitMQ, NATS)\r\nFamiliarity with authentication/authorization (OAuth2, JWT, SSO)\r\nKnowledge of observability tools (Prometheus, Grafana, OpenTelemetry)\r\nExperience building large-scale enterprise or SaaS platforms\r\nProficiency in Python, Golang, or Rust\r\nExperience in manufacturing, predictive maintenance, or controls engineering\r\nSoft Skills\r\nStrong problem-solving and decision-making in complex technical environments\r\nAbility to lead architectural direction and influence across teams\r\nClear communication with both technical and non-technical stakeholders\r\nJ-18808-Ljbffr","datePosted":"2026-07-04T02:42:40.516Z","dateModified":"2026-07-04T02:42:40.516Z","hiringOrganization":{"@type":"Organization","name":"Stefanini","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Springfield","addressRegion":"IL","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"c79ebff88d7d60e3066a1c29"},"url":"https://jobsearcher.com/jobs/c79ebff88d7d60e3066a1c29"}}