<p>Position: DevOps Engineer (Mobile-First)</p><p>Location: Remote - Full Time | Direct Hire</p><p>Salary: $140,000 - 160,000 base annual salary + bonus + excellent benefits</p><p>*** For immediate and confidential consideration, please send a message to MEREDITH CARLE on LinkedIn or send an email to me with your resume. My email can be found on my LinkedIn page. ***</p><p>DevOps Engineer</p><p>We’re building something entirely new—and we’re doing it the right way.</p><p>This is a rare opportunity to join a brand-new digital transformation team inside a well‑established, financially strong enterprise. After decades of success with a traditional operating model, the organization is launching a remote‑first, mobile‑first digital platform designed to unify multiple services into a seamless consumer experience.</p><p>The product is 0→1, greenfield, and pre‑launch, with executive sponsorship and long‑term funding already secured. The pace, ownership, and innovation feel like a startup—without startup risk.</p><p>Why This Role Is Exciting</p><p>• Startup‑like environment inside a proven, stable enterprise</p><p>• New digital department with new leadership, tooling, and architecture</p><p>• True greenfield DevOps work—no legacy rebuilds</p><p>• Direct impact on a high‑visibility, consumer‑facing platform</p><p>What You’ll Work On</p><p>• Design, build, and support cloud infrastructure for a mobile‑first platform</p><p>• Build and maintain CI/CD pipelines for modern microservices</p><p>• Support containerized workloads using Docker and Kubernetes</p><p>• Implement Infrastructure as Code (IaC) for consistent environments</p><p>• Improve deployment reliability, scalability, and developer experience</p><p>Technical Environment</p><p>• Cloud: AWS (primary for the digital platform), cloud‑flexible architecture</p><p>• Containers: Docker, Kubernetes</p><p>• CI/CD: GitHub Actions, Jenkins</p><p>• IaC: Terraform, CloudFormation</p><p>• Observability: Prometheus, Grafana, CloudWatch, Datadog / ELK</p><p>• Security: IAM, RBAC, secrets management</p><p>• Scripting: Python, Bash</p><p>• Application Context: Flutter (web,mobile), NestJS, Postgres, API</p><p>What We’re Looking For</p><p>• 3–6 years of experience in DevOps, Cloud Engineering, or SRE</p><p>• Hands‑on AWS infrastructure experience</p><p>• Working knowledge of Kubernetes and containerized systems</p><p>• Experience building or supporting CI/CD pipelines</p><p>• Familiarity with Infrastructure as Code</p><p>• Strong collaboration skills and an ownership mindset</p><p>• Comfortable operating in ambiguity and building from scratch</p><p>What Success Looks Like</p><p>• Faster, safer deployments enabled by your automation</p><p>• Scalable, observable, and secure environments</p><p>• DevOps seen as a partner—not a bottleneck</p><p><br></p><p>*** For immediate and confidential consideration, please send a message to MEREDITH CARLE on LinkedIn or send an email to me with your resume. My email can be found on my LinkedIn page. Also, you may contact me by office: 515-303-4654. Or one click apply on our Robert Half website. No third party inquiries please. Our client cannot provide sponsorship and cannot hire C2C. ***</p>
<p>We are looking for an experienced Artificial Intelligence (AI) Engineer to design and implement innovative AI-driven solutions that enhance business operations and decision-making processes. In this contract position, you will play a pivotal part in developing scalable, secure, and cutting-edge systems that integrate AI with automation technologies. This role offers an exciting opportunity to work at the forefront of artificial intelligence.</p><p><br></p><p>Responsibilities:</p><p>• Design and develop AI-powered systems that incorporate generative AI, intelligent automation, and agent-based architectures.</p><p>• Build automation ecosystems using advanced machine learning models, large language models, and modern automation platforms.</p><p>• Research and integrate emerging AI technologies, including orchestration frameworks, autonomous agents, and AI security measures.</p><p>• Establish reusable patterns, APIs, and standards to enable scalable AI integrations across the enterprise.</p><p>• Oversee projects from initial experimentation to production deployment, ensuring they meet performance, reliability, and business impact goals.</p><p>• Collaborate with business and technology teams to align AI and automation solutions with organizational priorities.</p><p>• Implement robust governance, security, and ethical AI principles in all solutions to ensure compliance and responsible use.</p><p>• Provide expert guidance and mentorship on AI tools, optimization strategies, and automation best practices to team members.</p><p>• Conduct reviews of AI and automation implementations to ensure long-term sustainability and operational effectiveness.</p><p>• Stay updated on the latest AI trends and methodologies, sharing insights to inspire innovation across the organization.</p>
<p><strong>AWS Infrastructure Engineer </strong></p><p><strong>13 Week Contract to Hire </strong></p><p><strong>Onsite Hybrid: </strong>Columbus, OH or Dallas, TX or Minneapolis, MN </p><p><strong>Pay: </strong>Available on W2</p><p><strong>Job Summary</strong></p><p>We are seeking an experienced <strong>Platform Engineer</strong> to join a growing Platform Engineering team responsible for supporting and evolving a modern <strong>Data Science platform</strong>. This role focuses on building, managing, and securing cloud-based infrastructure that enables Data Science and AI/ML teams to operate efficiently at scale. The ideal candidate brings strong AWS expertise, hands-on infrastructure automation experience, and the ability to collaborate across technical and business teams.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Support and maintain ongoing <strong>Data Science infrastructure operations</strong></li><li>Design, build, and deploy <strong>AWS environments</strong> using automated <strong>CI/CD pipelines</strong></li><li>Manage and scale large, secure cloud environments to support current and future Data Science initiatives</li><li>Implement, own, and improve the <strong>image management lifecycle process</strong></li><li>Assist with the setup and ongoing management of <strong>AWS accounts</strong> dedicated to the Data Science platform</li><li>Develop and maintain infrastructure pipelines using <strong>CI/CD tools</strong> (e.g., Azure DevOps)</li><li>Build and manage environments using <strong>Infrastructure as Code (IaC)</strong> tools such as <strong>Terraform</strong></li><li>Develop scripts and applications using programming languages such as <strong>Python</strong></li><li>Manage and support database technologies including <strong>Athena, Oracle, MySQL, and PostgreSQL</strong></li><li>Leverage AWS services to enable <strong>Data Lake, Data Science, and AI/ML workloads</strong></li><li>Respond to requests from development and business users, removing technical roadblocks</li><li>Manage secured infrastructure environments, applying security controls and guardrails</li><li>Identify, remediate, and track infrastructure vulnerabilities within defined SLAs</li><li>Maintain audit logs and support compliance-related needs</li><li>Perform system upgrades, patching, and provide <strong>on-call support</strong> as required</li><li>Conduct root cause analysis and knowledge transfer sessions with internal teams</li><li>Collaborate closely with <strong>Network, Database, Infrastructure, and Architecture teams</strong> to align on platform strategy and delivery</li></ul><p><br></p>