<p>Robert Half is hiring! We are looking for an experienced Site Reliability Engineer to join our team. This role involves designing, operating, and enhancing a secure, scalable, and cost-efficient multi-cloud platform. The ideal candidate will possess a strong technical background, a passion for automation and observability, and a commitment to improving system reliability and efficiency.</p><p><br></p><p>Responsibilities:</p><p>• Design, implement, and manage reliable and scalable systems across multi-cloud environments, including AWS and Azure.</p><p>• Develop and refine service level objectives (SLOs), service level indicators (SLIs), and error budgets to support system reliability.</p><p>• Lead root cause analyses for incidents and implement measures to prevent recurrence.</p><p>• Enhance platform observability by creating and maintaining metrics, logs, traces, and alerts.</p><p>• Drive cloud cost optimization initiatives by implementing cost visibility, forecasting, and accountability measures.</p><p>• Collaborate with security teams to ensure compliance with regulatory standards and embed security into platform operations.</p><p>• Automate operational workflows using Infrastructure as Code and CI/CD pipelines.</p><p>• Utilize AI tools to improve incident analysis, capacity planning, and operational efficiency.</p><p>• Mentor and guide engineering teams on reliability practices and cost-efficient architectures.</p><p>• Partner with cross-functional teams to influence technical direction and improve operational maturity.</p>
We are seeking a NOC Engineer / entry level Network Engineer to support and monitor network infrastructure, ensuring system uptime and performance. This role is ideal for someone early in their career looking to grow in networking, infrastructure, and operations. <br> Key Responsibilities Monitor network systems, servers, and infrastructure for performance and availability Respond to alerts, incidents, and outages in a timely manner Troubleshoot network issues (connectivity, latency, packet loss, etc.) Escalate complex issues to senior engineers when needed Maintain documentation for incidents, processes, and configurations Assist with network maintenance, upgrades, and patching Support ticketing systems and follow SLAs
<p><strong>Position Summary:</strong></p><ul><li>We are looking for a Data Operations Engineer to support and oversee the automated data‑pipeline environment built on AWS. This position bridges data engineering and customer operations, ensuring that incoming datasets are processed accurately, consistently, and securely within established ingestion and transformation frameworks.</li><li>Key responsibilities include monitoring automated workflows, troubleshooting processing failures, validating data quality, and helping onboard new customers by aligning their data formats to a standardized internal model.</li><li>The role requires strong proficiency in SQL and Python, practical experience with AWS services, and the ability to communicate effectively with external customers when data issues arise.</li></ul><p><strong>Responsibilities:</strong></p><p><strong>Data Pipeline Monitoring & Operations:</strong></p><ul><li>Monitor automated batch and streaming data pipelines in AWS</li><li>Identify, troubleshoot, and resolve data processing failures</li><li>Investigate file‑level errors, schema mismatches, and transformation issues</li><li>Perform root‑cause analysis and document resolutions</li><li>Ensure data integrity, completeness, and timeliness across environments</li><li>Escalate architectural or systemic issues to the Data Engineering team</li></ul><p><strong>Customer Data Onboarding & Implementation:</strong></p><ul><li>Collaborate directly with customers to understand their file formats and data structures</li><li>Create and maintain mapping templates to align customer data to a normalized data model</li><li>Validate sample files and run tests on ingestion workflows</li><li>Configure ingestion parameters within predefined frameworks</li><li>Support customer go‑live processes and initial data processing cycles</li></ul><p><strong>Data Quality & Continuous Improvement:</strong></p><ul><li>Write SQL queries to validate data accuracy and research anomalies</li><li>Develop lightweight Python scripts for validation, transformation checks, or automation tasks</li><li>Improve monitoring processes, internal documentation, and operational playbooks</li><li>Work with engineering teams to strengthen platform reliability and observability</li></ul><p><strong>Customer & Cross‑Functional Collaboration:</strong></p><ul><li>Communicate clearly with customers regarding file issues or data discrepancies</li><li>Partner with internal teams including Data Engineering, Product, and Support</li><li>Provide feedback to enhance scalability, resilience, and overall platform performance</li></ul>
<p>We are seeking a <strong>Network Security Engineer</strong> to support and maintain enterprise security infrastructure while providing advanced troubleshooting and operational support.</p><p><strong>Responsibilities:</strong></p><ul><li>Administer and maintain network security tools and platforms</li><li>Perform escalated troubleshooting for complex network/security issues</li><li>Configure and deploy security devices and services (firewalls, email/web security, etc.)</li><li>Manage SLAs and ensure timely resolution of incidents</li><li>Perform maintenance, upgrades, and lifecycle management of security systems</li><li>Communicate updates and resolutions to internal teams and customers</li><li>Follow change management processes for all configurations and updates</li><li>Collaborate with vendors on implementations and new technologies</li><li>Conduct deep-dive diagnostics and escalate issues when needed</li><li><br></li></ul><p><br></p>
We are seeking a Senior Security Systems Engineer to lead the design, implementation, and optimization of enterprise security solutions. This role will serve as a technical leader, driving security architecture decisions, mentoring entry level engineers, and ensuring the organization’s systems and data are protected against evolving threats. <br> Key Responsibilities Lead design and implementation of enterprise security architecture and systems Own and optimize security platforms (SIEM, EDR, IAM, firewalls, cloud security) Drive incident response and threat detection strategies Conduct advanced vulnerability management and system hardening Partner with cloud, infrastructure, and application teams to embed security controls Lead security assessments, audits, and compliance initiatives Develop security standards, policies, and best practices Mentor entry level engineers and provide technical leadership across teams
<p><strong>Overview</strong></p><p>Our client is seeking an Atlanta-based AI Engineer to accelerate their artificial intelligence strategy and project implementation across clinical and business operations. This cross-functional role will serve as a trusted partner for both clinical and financial teams, driving AI adoption with tools such as NexTech (AI scribe and clinical trials), call center AI, AI-based revenue cycle management bots, and advanced analytics through PowerBI and data integrations. Our ideal candidate is a self-starter—an “athlete” or "one-man-band"—who can communicate effectively to both IT and non-IT professionals working across different teams, catalyzing innovation, and providing strategic guidance for optimizing workflows and extracting value from healthcare data.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li>Collaborate with 12 different departments to identify, scope, and deliver AI use cases in clinical, financial, and operational domains.</li><li>Evaluate, recommend, and integrate third-party AI vendors and solutions, especially in healthcare applications such as NexTech, call center automation, AI-powered scribing, clinical trial identification, and revenue cycle management bots.</li><li>Build, customize, and deploy AI tools (including Gemini, ChatGPT, Claude, and Copilot) to create efficiencies, automate workflows, and generate actionable insights from company data (databases, emails, PowerPoint presentations).</li><li>Support clinical teams by automating patient identification for trials, improving documentation, and leveraging AI scribes in NexTech.</li><li>Assist management in leveraging AI-driven dashboards and analytics (PowerBI) to monitor key business and clinical metrics.</li><li>Ensure scalable, secure, and compliant integration of AI applications.</li><li>Maintain up-to-date knowledge of healthcare data requirements, privacy/regulatory standards, and industry best practices.</li><li>Serve as an internal consultant, staying knowledgeable about company operations and proactively looking for opportunities to drive organizational change via AI.</li></ul>