<p>This role is the first dedicated Application Security hire on a growing security team and will build the AppSec function from the ground up. The focus is hands-on, practitioner-level application security with SAST and DAST at the core, strong API security fundamentals, and close partnership with developers.</p><p>The environment is SaaS-heavy and AWS-native with no on-prem applications. This role embeds security directly into modern development workflows, including AI-assisted coding using tools like Cursor and GitHub Copilot, ensuring secure application, API, and cloud delivery at scale.</p><p><br></p><p>What You’ll Do (Core Responsibilities)</p><p>• Own and operate the organization’s SAST and DAST programs end-to-end</p><p>• Design, deploy, tune, and mature SAST and DAST tooling across development and release pipelines</p><p>• Review application code, including AI-generated code, to identify vulnerabilities, insecure patterns, secrets exposure, and data handling risks</p><p>• Partner directly with software developers to triage findings, prioritize remediation, and validate fixes</p><p>• Act as a trusted AppSec partner to engineering, not a gatekeeper</p><p>• Perform application and API security reviews across internally developed and SaaS-integrated systems</p><p>• Evaluate authentication, authorization, transport security, rate limiting, session handling, logging, and data exposure risks</p><p>• Assess externally exposed applications and APIs for secure design and release readiness</p><p>• Support secure AWS application patterns including IAM, secrets management, logging, networking, and containerized workloads</p><p>• Help centralize and improve secrets management using AWS Secrets Manager and enterprise tooling</p><p>• Translate security requirements into practical, developer-friendly guidance</p><p>• Help govern AI-assisted development by defining guardrails for acceptable use of AI coding tools</p><p>• Review AI-enabled workflows for security risks including prompt misuse, data leakage, and insecure implementation</p><p>• Build repeatable security review criteria and documentation aligned to NIST and SOC 2 expectations</p>
We are looking for a Cyber Security Engineer to strengthen a growing cloud security program in Minneapolis, Minnesota. This position will focus on protecting Azure and Microsoft 365 environments through secure design, identity governance, threat detection, and operational improvements. The ideal candidate brings hands-on experience with cloud platforms, modern security tooling, and cross-functional collaboration to reduce risk and support a resilient technology environment.<br><br>Responsibilities:<br>• Architect and support secure cloud solutions across Azure and Microsoft 365, ensuring platforms are configured to meet security and operational standards.<br>• Establish and manage identity and access protections by enforcing conditional access, role-based permissions, and zero trust security practices.<br>• Investigate alerts and suspicious activity using enterprise security platforms, then coordinate timely response and remediation efforts.<br>• Evaluate cloud environments for vulnerabilities and misconfigurations, and drive corrective actions to improve overall security posture.<br>• Build and maintain automation scripts in PowerShell, Python, or similar languages to improve efficiency in security administration and monitoring.<br>• Partner with DevOps and infrastructure teams to embed security controls into deployment workflows using infrastructure-as-code and pipeline automation tools.<br>• Support adherence to recognized security frameworks and regulatory expectations through policy alignment, control validation, and audit readiness activities.<br>• Troubleshoot complex issues affecting cloud, network, and endpoint security technologies, providing practical solutions across interconnected systems.<br>• Create and update technical documentation covering configurations, procedures, incident findings, and recommended best practices.<br>• Work closely with internal stakeholders on security initiatives, platform enhancements, and ongoing risk reduction projects.
<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 seeking a senior DevOps professional to assess, design, and help implement a scalable cloud data platform that supports enterprise analytics and upcoming cloud ERP integration. This role will play a critical part in moving the organization from a limited data warehouse model to a modern data lake or lakehouse architecture with appropriate governance, security, and operational rigor.</p><p>This is a hands‑on, architecture‑led engagement focused on platform enablement, reliability, and long‑term operational sustainability.</p><p>Key responsibilities</p><ul><li>Assess the current data and analytics environment and identify architectural, tooling, and operational gaps</li><li>Design a scalable cloud‑based data platform architecture (data lake / lakehouse patterns) aligned to future ERP and analytics needs</li><li>Recommend and implement DevOps tooling including CI/CD, infrastructure‑as‑code, monitoring, and environment management</li><li>Build and harden data ingestion pipelines supporting batch and near‑real‑time integrations from ERP, SaaS, and third‑party data sources</li><li>Establish platform security, identity, access controls, and key management in partnership with security stakeholders</li><li>Define data platform operating standards including deployment patterns, error handling, and observability</li><li>Support ERP data integration efforts and analytics readiness leading up to and following ERP go‑live</li><li>Partner closely with data engineers, analytics teams, and external vendors to enable downstream consumption</li><li>Produce documentation, runbooks, and knowledge transfer materials to support long‑term internal ownership</li></ul><p>Interested candidates should submit resumes to sally.lander@roberthalf(.com).</p>
<p>We are looking for an Application Support Engineer to support essential manufacturing systems and business applications. This Long-term Contract position focuses on maintaining stable day-to-day operations, addressing technical issues quickly, and helping teams keep integrated platforms running efficiently. The ideal person is someone that can think of terms of root cause, not just resolution, uses SQL, Postman, and Splunk, and can work across application layer, identity layer and integration layer. The person in this role will work closely with both technical and business partners to investigate incidents, improve reliability, and strengthen overall system performance. </p><p><br></p><p><br></p><p>Responsibilities:</p><p>• Handle application support requests from intake through resolution, ensuring each issue is thoroughly documented and progressed in a timely manner.</p><p>• Watch system activity and log-based alerts, respond to operational risks, and take corrective steps before they affect users or critical processes.</p><p>• Review operational reports to spot exceptions, synchronization gaps, and pending items, then resolve underlying issues to maintain steady performance.</p><p>• Verify failed file transactions, reprocess data when needed, and protect the accuracy and continuity of connected workflows.</p><p>• Collaborate with internal technology teams and business stakeholders to diagnose integration problems and reduce recurring service disruptions.</p><p>• Contribute to Agile team routines by sharing status updates, discussing priorities, and supporting planning, review, and retrospective activities.</p><p>• Use API and testing tools to validate transactions, restart workflows, and investigate issues tied to data movement or missing system activity.</p><p>• Reproduce production defects in non-production environments and prepare detailed findings that help accelerate troubleshooting and correction.</p><p>• Create well-structured defect tickets in Jira that clearly explain business impact, likely causes, and proposed next steps for resolution.</p><p>• Identify trends across repeat incidents and recommend process or technical improvements that increase platform stability and user experience.</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>