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284 results for Devops Engineer jobs

Software Engineer
  • Sinton, TX
  • onsite
  • Permanent / Full Time
  • 90000 - 100000 USD / Yearly
  • We are looking for a Software Engineer to join a team in Sinton, Texas and build reliable, scalable applications that support business operations. This role involves creating and improving both front-end and back-end solutions, partnering with users to translate needs into effective technical outcomes, and maintaining high standards for code quality and security. The ideal candidate brings strong problem-solving ability, solid experience with modern development tools, and a proactive approach to delivering well-documented, dependable software.<br><br>Responsibilities:<br>• Build, enhance, and support software applications and related services using contemporary development technologies such as C#, .NET, Python, and web-based frameworks.<br>• Investigate application issues, diagnose root causes, and implement fixes that improve stability, functionality, and performance.<br>• Produce clear technical documentation covering system behavior, design decisions, and implementation details to support maintainability.<br>• Apply secure development methods and align coding practices with established organizational standards and quality expectations.<br>• Manage assigned tasks independently, track commitments responsibly, and deliver work within agreed timelines.<br>• Collaborate with business users to gather, clarify, and translate functional needs into practical software solutions.<br>• Create and optimize SQL components, including queries, views, stored procedures, and triggers, with an emphasis on efficiency and appropriate design.<br>• Contribute to integrations and connected systems through APIs, webhooks, and other modern interface methods.<br>• Strengthen technical capabilities through ongoing learning and by staying current with evolving tools, practices, and engineering approaches.
  • 2026-09-24T00:00:00Z
Software Engineer
  • Plano, TX
  • onsite
  • Temporary to Hire
  • 63.3365 - 73.337 USD / Hourly
  • We are looking for a Software Engineer to join a services team in Plano, Texas, in a contract capacity with the potential for a permanent role. This role focuses on building and supporting cloud-native applications that rely on scalable, event-driven microservices and modern engineering practices. The ideal candidate brings strong experience with distributed systems, cloud platforms, and collaborative delivery in a fast-moving environment.<br><br>Responsibilities:<br>• Create and enhance cloud-native microservices that support high availability, strong performance, and long-term scalability.<br>• Develop event-driven application components and integrate messaging patterns through publish-and-subscribe architectures.<br>• Build, package, and manage services with container technologies while supporting orchestration in Kubernetes environments.<br>• Partner with DevOps and infrastructure teams to streamline deployments, strengthen CI/CD workflows, and improve production reliability.<br>• Investigate and resolve issues affecting system responsiveness, uptime, and application stability across distributed services.<br>• Work with cross-functional stakeholders to translate business needs into technical solutions and deliver well-designed software increments.<br>• Participate in peer code reviews, share engineering best practices, and provide guidance to less experienced developers.<br>• Contribute to production support efforts by diagnosing incidents and implementing sustainable fixes.<br>• Evaluate tools, frameworks, and architectural approaches, offering clear technical rationale for design decisions.<br>• Maintain awareness of emerging trends in cloud engineering, microservices, and software delivery practices.
  • 2026-10-02T00:00:00Z
Full Stack Software Engineer
  • Mount Arlington, NJ
  • onsite
  • Permanent / Full Time
  • 110000 - 135000 USD / Yearly
  • We are looking for an experienced Sr Full Stack Software Engineer to help shape and expand a newly formed internal applications capability in Mount Arlington, New Jersey. In this role, you will create enterprise tools that streamline operations, support technical business users, and strengthen secure application delivery across the organization. This opportunity is well suited for someone who enjoys building practical platforms, improving self-service experiences, and delivering modern solutions that balance speed, governance, and scalability.<br><br>Responsibilities:<br>• Architect, build, and enhance internal business applications using modern front-end and back-end technologies, including React, Python with FastAPI, and PostgreSQL.<br>• Create reusable frameworks, starter templates, and guided development patterns that help teams deliver governed applications more efficiently.<br>• Develop enterprise integrations, file exchange capabilities, and other internal tools that support essential business processes.<br>• Design self-service features that reduce manual support needs and improve the experience for internal users and technical stakeholders.<br>• Connect applications with corporate identity and access management services while enforcing role-based permissions and secure authentication practices.<br>• Establish auditability, application lifecycle controls, and governance measures to support compliance, security, and operational oversight.<br>• Work closely with engineering, IT, and security partners to ensure solutions align with technical standards and are ready for production use.<br>• Contribute to architectural decision-making and champion sound engineering practices for reliability, maintainability, and secure software delivery.<br>• Support AI-enabled and low-code development capabilities that allow users to build lightweight internal solutions within defined guardrails.
  • 2026-10-07T00:00:00Z
Full Stack Software Engineer
  • Jacksonville, FL
  • onsite
  • Temporary / Contract
  • 0 - 0 USD / Yearly
  • <p>We&#39;re hiring a Full Stack Developer to build modern business applications supporting internal and external customers. This position offers exposure to cloud technologies, APIs, and enterprise-scale development.</p><p>Responsibilities</p><ul><li>Develop web applications using .NET and React</li><li>Build RESTful APIs and backend services</li><li>Design and optimize SQL databases</li><li>Participate in Agile development processes</li><li>Write clean, maintainable, and testable code</li><li>Collaborate with stakeholders on requirements</li></ul><p><br></p>
  • 2026-09-18T00:00:00Z
Full Stack Software Engineer
  • Monroe, NY
  • onsite
  • Permanent / Full Time
  • 125000 - 170000 USD / Yearly
  • <p><strong>Location: </strong>Monroe, NY (Orange County) — Onsite 5 days/week</p><p><strong>Title: </strong>Software Engineer</p><p><strong>Salary: </strong>up to $170k plus benefits (paid in full by the employer), PTO, Bonus, etc <strong>(Based on Experience)</strong></p><p><strong>Industry: </strong>Media &amp; Technology</p><p><strong> </strong></p><p>We’re seeking an experienced Full Stack Software Engineer to design, develop, test, and maintain scalable web applications across front-end and back-end environments.</p><p><strong> </strong></p><p><strong>Key Responsibilities</strong></p><ul><li>Design and develop full-stack applications, APIs, and web services.</li><li>Build responsive user interfaces and scalable back-end services.</li><li>Develop business logic and database solutions.</li><li>Collaborate with Product, QA, DevOps, and Engineering teams.</li><li>Participate in technical design, code reviews, testing, troubleshooting, and performance optimization.</li><li>Integrate third-party services/APIs and support CI/CD and automated testing.</li><li>Evaluate emerging technologies to improve scalability, security, and reliability.</li></ul><p><br></p>
  • 2026-09-25T00:00:00Z
Network Engineer (Linux & Kubernetes)
  • Philadelphia, PA
  • onsite
  • Temporary / Contract
  • 44 - 49 USD / Hourly
  • <p>We are looking for a Network Engineer with strong Linux &amp; Kubernetes experience to support the reliability, deployment, and ongoing improvement of software systems in Philadelphia, Pennsylvania. The Linux/Network Support Engineer will support the design, development, implementation, and operation of technical products and systems. The role will focus heavily on deployment automation, continuous integration, cloud infrastructure, production support, monitoring, and containerized environments.</p><p><br></p><p><strong>Biggest Needs</strong></p><ul><li>Strong networking fundamentals and hands-on network troubleshooting skills.</li><li>Strong command of Linux environments.</li><li>Hands-on Kubernetes experience.</li><li>Willingness to participate in an on-call rotation, including nights, weekends, and holidays.</li></ul><p><strong>Key Responsibilities</strong></p><ul><li>Support vCMTS and RPHY turn-ups across the country.</li><li>Perform vCMTS platform stand-up, software installation, and ongoing system and network maintenance.</li><li>Implement changes, including system upgrades, RMAs, risk management, and automation.</li><li>Develop automation scripts using Python, Bash, and similar technologies.</li><li>Identify service-impacting trends and partner with development teams to implement long-term solutions.</li><li>Troubleshoot server hardware, software, systems, and network issues.</li><li>Handle incident mitigation for virtual Cable Modem Termination Systems.</li><li>Partner with regional engineering teams to identify product reliability improvements and build automation tools.</li><li>Work with Product and Project Management to integrate and operationalize new products.</li><li>Build and replace system hardware as needed.</li><li>Participate in an on-call rotation with the rest of the team.</li></ul>
  • 2026-09-16T00:00:00Z
Cybersecurity Engineer
  • Dallas, TX
  • onsite
  • Temporary / Contract
  • 55 - 75 USD / Hourly
  • <p><strong>CYBERSECURITY ENGINEER</strong></p><p><strong> </strong></p><p><strong>SUMMARY</strong></p><p>An established organization is seeking a Cybersecurity Engineer to strengthen the security posture of enterprise systems and infrastructure. This role will focus on threat detection, vulnerability management, incident response, and security architecture initiatives.</p><p><strong> </strong></p><p><strong>POSITION TITLE:</strong> Cybersecurity Engineer</p><p><strong>LOCATION:</strong> Dallas-Fort Worth, TX (Hybrid)</p><p><strong>SALARY:</strong> $115,000 - $155,000</p><p><strong> </strong></p><p><strong>RESPONSIBILITIES</strong></p><ul><li>Implement and maintain security controls across servers, endpoints, cloud environments, and networks.</li><li>Investigate security alerts and support incident response activities.</li><li>Perform vulnerability assessments and coordinate remediation efforts.</li><li>Support security monitoring through SIEM and endpoint detection platforms.</li><li>Assist with security architecture reviews and compliance initiatives.</li></ul>
  • 2026-09-29T00:00:00Z
Cybersecurity Engineer
  • Jacksonville, FL
  • onsite
  • Temporary / Contract
  • 0 - 0 USD / Yearly
  • <p>We are looking for a Cybersecurity Engineer to strengthen our security posture through threat detection, incident response, vulnerability management, and cloud security initiatives.</p><p>Responsibilities</p><ul><li>Monitor and respond to security events</li><li>Administer SIEM and EDR platforms</li><li>Conduct vulnerability assessments and remediation tracking</li><li>Secure cloud environments and identity systems</li><li>Perform incident investigations and root-cause analysis</li><li>Support compliance initiatives and audits</li></ul><p><br></p>
  • 2026-09-18T00:00:00Z
Cybersecurity Engineer
  • Nashville, TN
  • onsite
  • Temporary / Contract
  • 60 - 72 USD / Hourly
  • <p>Robert Half is seeking a skilled <strong>Cybersecurity Engineer</strong> to join our client&#39;s IT security team. In this role, you will be responsible for designing, implementing, and maintaining security solutions that protect the organization&#39;s networks, systems, applications, and data. The ideal candidate will have experience with security architecture, threat prevention, incident response, vulnerability management, and cloud security.</p><p>This contract opportunity offers the chance to work on critical cybersecurity initiatives while helping strengthen the organization&#39;s overall security posture.</p><p><br></p><p>Key Responsibilities</p><ul><li><strong>Security Infrastructure:</strong> Design, implement, and maintain security technologies including firewalls, intrusion detection/prevention systems (IDS/IPS), endpoint protection, VPNs, and web security solutions.</li><li><strong>Threat Detection &amp; Response:</strong> Monitor security alerts, investigate incidents, perform root cause analysis, and implement corrective actions.</li><li><strong>Vulnerability Management:</strong> Conduct vulnerability assessments, security audits, penetration testing coordination, and remediation activities.</li><li><strong>Cloud Security:</strong> Secure cloud environments including Microsoft Azure, AWS, or Google Cloud Platform by implementing best practices and security controls.</li><li><strong>Security Architecture:</strong> Assist in designing secure network, server, and application architectures to reduce organizational risk.</li><li><strong>Identity &amp; Access Management:</strong> Support access control initiatives, privileged access management, multi-factor authentication, and identity governance processes.</li><li><strong>Compliance &amp; Governance:</strong> Ensure security controls align with regulatory requirements and industry standards such as NIST, ISO 27001, HIPAA, PCI-DSS, and SOC 2.</li><li><strong>Security Automation:</strong> Develop and maintain automation scripts and tools to improve security monitoring, threat detection, and response capabilities.</li><li><strong>Documentation:</strong> Create and maintain security policies, procedures, standards, and technical documentation.</li><li><strong>Collaboration:</strong> Work closely with IT, infrastructure, development, and business teams to integrate security into technology initiatives.</li></ul><p><br></p>
  • 2026-09-22T00:00:00Z
Machine Learning Engineer
  • Los Angeles, CA
  • onsite
  • Permanent / Full Time
  • 200000 - 300000 USD / Yearly
  • <p><strong>Machine Learning Engineer</strong></p><p><br></p><p><strong>Company Overview</strong></p><p>Based in Los Angeles, California, the company specializes in transforming complex, multi-source data into actionable insights through machine learning, knowledge graph technologies, and advanced analytics. This is an opportunity to work on mission-critical applications in a highly collaborative environment focused on innovation, scalability, and operational excellence.</p><p><br></p><p><strong>Role Summary</strong></p><p>The Machine Learning Engineer will play a critical role in designing, training, deploying, and optimizing machine learning models that operate on large-scale temporal, geospatial, relational, and unstructured datasets. This position requires an experienced engineer who can independently own the full machine learning lifecycle, from dataset development and model architecture selection to deployment, monitoring, and continuous improvement. The ideal candidate brings broad expertise across computer vision, natural language processing (NLP), geospatial analytics, MLOps, and large-scale production machine learning environments.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Design, train, evaluate, deploy, and optimize machine learning models across multiple production use cases.</li><li>Build predictive solutions for anomaly detection, forecasting, entity resolution, relationship prediction, risk assessment, and operational decision support.</li><li>Partner with data engineering teams to develop high-quality training datasets from structured, unstructured, temporal, relational, and geospatial data sources.</li><li>Design model architectures and select appropriate algorithms based on business objectives, data characteristics, and operational requirements.</li><li>Develop and maintain machine learning pipelines spanning data preparation, feature engineering, training, evaluation, deployment, and monitoring.</li><li>Build scalable solutions that leverage graph-based and knowledge graph-driven data architectures.</li><li>Develop models utilizing computer vision, NLP, geospatial analytics, and predictive modeling techniques.</li><li>Establish rigorous evaluation frameworks, baselines, performance metrics, and validation methodologies.</li><li>Design experiments that mitigate data leakage, model drift, bias, and changing data distributions.</li><li>Implement monitoring, observability, alerting, retraining, rollback, and model governance processes.</li><li>Maintain reproducible datasets, model artifacts, evaluation results, and deployment workflows.</li><li>Collaborate with distributed engineering teams to deliver reliable and scalable machine learning capabilities.</li><li>Improve model calibration, confidence scoring, uncertainty estimation, and explainability.</li><li>Contribute to technical architecture, machine learning standards, and long-term platform strategy.</li></ul><p><strong>Additional Details</strong></p><ul><li>Fully onsite 5 days a week</li><li>Highly collaborative environment with strong emphasis on machine learning, knowledge graphs, and data-driven decision support</li><li>Opportunity to influence technical direction, machine learning standards, and model lifecycle practices across multiple initiatives</li><li>Candidates must be authorized to work in the United States and satisfy applicable regulatory employment requirements</li></ul>
  • 2026-09-24T00:00:00Z
Machine Learning Engineer
  • Glendale, AZ
  • onsite
  • Temporary / Contract
  • 65 - 70 USD / Hourly
  • <p><strong>Robert Half is working with a client who is looking to hire a Machine Learning Engineer</strong> to help operationalize machine learning models as part of a growing enterprise AI program.</p><p>This role will sit between Data Science and Engineering and will focus on taking models from experimentation into reliable, scalable production environments.</p><p>Responsibilities</p><ul><li>Develop and deploy machine learning models into production.</li><li>Build reusable ML pipelines for training, testing, deployment, and monitoring.</li><li>Partner with Data Scientists to productionize predictive models.</li><li>Develop APIs and services that expose machine learning capabilities to enterprise applications.</li><li>Monitor model performance, drift, and reliability.</li><li>Build automated testing and deployment processes for ML workloads.</li><li>Optimize model performance and infrastructure utilization.</li><li>Work with Data Engineering teams to establish reliable training and inference datasets.</li></ul><p><br></p>
  • 2026-10-06T00:00:00Z
Machine Learning Engineer
  • Menlo Park, CA
  • onsite
  • Permanent / Full Time
  • 200000 - 300000 USD / Yearly
  • <p><strong>Machine Learning Engineer</strong></p><p><br></p><p><strong>Company Overview</strong></p><p>Based in Los Angeles, California, the company specializes in transforming complex, multi-source data into actionable insights through machine learning, knowledge graph technologies, and advanced analytics. This is an opportunity to work on mission-critical applications in a highly collaborative environment focused on innovation, scalability, and operational excellence.</p><p><br></p><p><strong>Role Summary</strong></p><p>The Machine Learning Engineer will play a critical role in designing, training, deploying, and optimizing machine learning models that operate on large-scale temporal, geospatial, relational, and unstructured datasets. This position requires an experienced engineer who can independently own the full machine learning lifecycle, from dataset development and model architecture selection to deployment, monitoring, and continuous improvement. The ideal candidate brings broad expertise across computer vision, natural language processing (NLP), geospatial analytics, MLOps, and large-scale production machine learning environments.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Design, train, evaluate, deploy, and optimize machine learning models across multiple production use cases.</li><li>Build predictive solutions for anomaly detection, forecasting, entity resolution, relationship prediction, risk assessment, and operational decision support.</li><li>Partner with data engineering teams to develop high-quality training datasets from structured, unstructured, temporal, relational, and geospatial data sources.</li><li>Design model architectures and select appropriate algorithms based on business objectives, data characteristics, and operational requirements.</li><li>Develop and maintain machine learning pipelines spanning data preparation, feature engineering, training, evaluation, deployment, and monitoring.</li><li>Build scalable solutions that leverage graph-based and knowledge graph-driven data architectures.</li><li>Develop models utilizing computer vision, NLP, geospatial analytics, and predictive modeling techniques.</li><li>Establish rigorous evaluation frameworks, baselines, performance metrics, and validation methodologies.</li><li>Design experiments that mitigate data leakage, model drift, bias, and changing data distributions.</li><li>Implement monitoring, observability, alerting, retraining, rollback, and model governance processes.</li><li>Maintain reproducible datasets, model artifacts, evaluation results, and deployment workflows.</li><li>Collaborate with distributed engineering teams to deliver reliable and scalable machine learning capabilities.</li><li>Improve model calibration, confidence scoring, uncertainty estimation, and explainability.</li><li>Contribute to technical architecture, machine learning standards, and long-term platform strategy.</li></ul><p><strong>Additional Details</strong></p><ul><li>Fully onsite 5 days a week</li><li>Highly collaborative environment with strong emphasis on machine learning, knowledge graphs, and data-driven decision support</li><li>Opportunity to influence technical direction, machine learning standards, and model lifecycle practices across multiple initiatives</li><li>Candidates must be authorized to work in the United States and satisfy applicable regulatory employment requirements</li></ul>
  • 2026-09-24T00:00:00Z
Data Center Engineer
  • Glendale, AZ
  • onsite
  • Temporary / Contract
  • 45 - 55 USD / Hourly
  • <p>Robert Half is seeking experienced Data Center Engineers to support clients with infrastructure operations, troubleshooting, deployments, and ongoing data center reliability.</p><p>Responsibilities</p><ul><li>Support servers, storage, networking, and data center infrastructure</li><li>Troubleshoot complex hardware and infrastructure issues</li><li>Coordinate server and network deployments</li><li>Support capacity planning, hardware refreshes, and infrastructure upgrades</li><li>Develop and maintain technical documentation</li><li>Participate in incident response and root-cause analysis</li><li>Coordinate with network, systems, cloud, security, and facilities teams</li><li>Support change management and production maintenance activities</li></ul><p><br></p>
  • 2026-10-01T00:00:00Z
Cloud Engineer
  • Jacksonville, FL
  • onsite
  • Temporary to Hire
  • 0 - 0 USD / Yearly
  • We are looking for a Cloud Engineer to join a service organization in Jacksonville, Florida in a contract capacity with the potential to become permanent. This role is suited for a hands-on, detail-oriented individual who can strengthen and support enterprise cloud infrastructure while improving reliability, automation, and operational efficiency. The position will work across Microsoft-based environments and Azure services, partnering with technical teams to deliver stable, secure, and scalable solutions.<br><br>Responsibilities:<br>• Design, implement, and maintain cloud and hybrid infrastructure solutions across enterprise Microsoft and Azure environments.<br>• Administer production Azure resources and help optimize performance, availability, and cost across hosted services.<br>• Build and enhance automated infrastructure deployment processes using Infrastructure as Code tools such as Terraform.<br>• Support container-based platforms, including Docker and Azure Kubernetes Service, to improve application delivery and platform scalability.<br>• Collaborate with engineering and operations teams to define technical standards, strengthen system reliability, and promote cloud best practices.<br>• Lead infrastructure initiatives from planning through execution, ensuring timelines, quality expectations, and business needs are met.<br>• Troubleshoot complex platform, server, and network-related issues, including active participation during service incidents and outage response calls.<br>• Develop and maintain scripts and deployment workflows using tools such as PowerShell, Python, or Bash to streamline administration and repeatable tasks.<br>• Contribute to secure cloud operations by applying sound controls for access, compliance, data protection, and environment governance.<br>• Deliver responsive internal support by listening carefully, communicating clearly, recommending practical solutions, and confirming follow-up actions are completed.
  • 2026-09-16T00:00:00Z
Cloud Engineer
  • Jacksonville, FL
  • onsite
  • Temporary / Contract
  • 0 - 0 USD / Yearly
  • <p>We are seeking an experienced <strong>Azure Cloud Engineer</strong> to help design, implement, and support cloud-based solutions in a Microsoft Azure environment. This individual will play a key role in cloud infrastructure modernization, automation, and operational excellence.</p><p>Responsibilities:</p><ul><li>Design, deploy, and maintain Azure cloud infrastructure</li><li>Automate deployments using Infrastructure as Code</li><li>Manage Azure networking, security, and identity solutions</li><li>Support CI/CD pipelines and cloud-native applications</li><li>Monitor performance, availability, and system health</li><li>Troubleshoot complex cloud-related issues</li></ul><p><br></p>
  • 2026-09-24T00:00:00Z
Cloud Engineer
  • Lebanon, NH
  • onsite
  • Temporary to Hire
  • 0 - 0 USD / Yearly
  • We are looking for an experienced Cloud Engineer to join a healthcare organization on a contract-to-permanent basis. This role will shape cloud architecture decisions, strengthen secure and scalable platform design, and support modernization across enterprise environments. The position is ideal for a senior-level candidate who can balance hands-on engineering with architectural leadership while partnering with technical and business stakeholders.<br><br>Responsibilities:<br>• Create and advance cloud architecture direction, technical standards, and long-term modernization plans that support enterprise goals.<br>• Design scalable solutions across infrastructure, platform, and software service models while promoting reliable cloud-native patterns.<br>• Lead the transformation of legacy and hybrid environments into modern cloud platforms with a focus on performance, resilience, and maintainability.<br>• Establish best practices for infrastructure automation, policy-driven governance, and secure delivery processes across engineering teams.<br>• Build and refine solutions using containers, microservices, serverless capabilities, and elastic cloud services to meet evolving business needs.<br>• Drive cloud financial management efforts by improving resource utilization, forecasting demand, and identifying cost-saving opportunities.<br>• Strengthen security architecture through identity controls, encryption strategies, recovery planning, and compliance-aligned safeguards.<br>• Provide senior technical guidance to engineers and infrastructure teams through mentorship, design reviews, and architectural oversight.<br>• Assess new tools and platform capabilities through research and proof-of-concept work to improve scalability, innovation, and operational effectiveness.
  • 2026-10-02T00:00:00Z
Cloud Engineer
  • Mcallen, TX
  • onsite
  • Permanent / Full Time
  • 65000 - 85000 USD / Yearly
  • We are looking for a Cloud Engineer to help build and support secure, scalable cloud infrastructure for a financial services environment in McAllen, Texas. This role focuses on strengthening Azure and hybrid platform capabilities, improving reliability, and advancing governance across cloud services and data platforms. The ideal candidate brings hands-on engineering experience, sound judgment around security and compliance, and the ability to work across technical teams to deliver durable solutions.<br><br>Responsibilities:<br>• Architect, deploy, and administer cloud infrastructure across Microsoft Azure and hybrid environments to support performance, availability, and long-term scalability.<br>• Assess emerging cloud tools and platform capabilities, then recommend practical solutions that improve efficiency, resiliency, and security.<br>• Apply and manage cloud security measures such as access controls, encryption standards, and network isolation to protect critical systems and data.<br>• Partner with internal stakeholders to maintain alignment with regulatory expectations, audit requirements, and organizational security policies affecting cloud services.<br>• Investigate platform incidents and service disruptions, identify root causes, and restore operations in a timely manner.<br>• Contribute to on-call coverage and respond to urgent production issues or escalations outside standard business hours when needed.<br>• Establish governance practices for cloud environments, including authentication approaches, monitoring standards, lifecycle oversight, and control frameworks.<br>• Design integrations and platform components using consistent, reusable, and maintainable architectural patterns.<br>• Define standards for data organization, metadata, lineage, quality, and governance to support trusted enterprise data use.<br>• Help shape cloud architecture to enable future capabilities such as Microsoft Fabric, Azure AI services, Copilot-related tools, and advanced analytics initiatives.
  • 2026-10-02T00:00:00Z
Cloud Engineer
  • Oklahoma City, OK
  • onsite
  • Temporary / Contract
  • 0 - 0 USD / Yearly
  • <p>We are seeking a <strong>Senior Cloud Engineer</strong> to join a collaborative team supporting strategic cloud initiatives in Oklahoma City, Oklahoma. This Long-term Contract opportunity is ideal for an experienced cloud professional who excels at designing scalable infrastructure, driving automation, and leading cloud modernization efforts across enterprise environments. The role offers the opportunity to influence cloud strategy, architect platform solutions, and contribute to emerging technologies, including AI-enabled capabilities.</p><p><br></p><p>Responsibilities:</p><p>• Support the implementation, configuration, and ongoing maintenance of cloud infrastructure across enterprise environments.</p><p>• Develop and refine Infrastructure as Code solutions using Terraform to create consistent and repeatable deployments.</p><p>• Partner with technical teams to establish cloud architecture patterns, governance practices, and secure platform foundations.</p><p>• Contribute to workload modernization and migration efforts as applications and services evolve within the cloud ecosystem.</p><p>• Assist with CI/CD improvements by helping enhance automation workflows and supporting the use of GitHub-based delivery pipelines.</p><p>• Participate in building a new data platform that incorporates modern cloud services and AI-oriented capabilities.</p><p>• Create scripts and automated processes that streamline operations, reduce manual effort, and improve reliability.</p><p>• Work closely with infrastructure, application, and data stakeholders to deliver scalable, resilient, and secure cloud solutions.</p><p>• Help monitor platform health, support operational excellence initiatives, and strengthen overall service stability.</p>
  • 2026-10-02T00:00:00Z
Cloud Engineer
  • Greenville, SC
  • remote
  • Permanent / Full Time
  • 0 - 0 USD / Yearly
  • <p>Robert Half is hiring! We are looking for a Cloud Engineer to support and enhance a secure, high-performing technology environment for a financial services organization in South Carolina. This role combines infrastructure administration, cloud platform support, and systems optimization, with a strong focus on reliability, security, and operational efficiency. The ideal candidate brings deep technical expertise across server management, identity services, Microsoft 365 administration, and virtualization, along with the ability to solve complex issues in a fast-moving environment.</p><p><br></p><p>Responsibilities:</p><p>• Administer and maintain Linux and Windows server environments to ensure strong performance, stability, and secure day-to-day operations.</p><p>• Oversee cloud and virtual infrastructure across platforms such as Microsoft Azure and VMware, including ongoing management, support, and optimization.</p><p>• Manage directory services and identity infrastructure, including domain controller administration, directory roles, and related access controls.</p><p>• Support advanced Microsoft 365 administration by maintaining Exchange, SharePoint, Teams, and Entra ID environments.</p><p>• Monitor system health, evaluate performance trends, and implement tuning improvements to strengthen availability and efficiency.</p><p>• Maintain database environments through routine upkeep, performance improvements, and controls that protect data accuracy and security.</p><p>• Configure and support network and firewall settings, applying knowledge of communication protocols and secure port-level connectivity.</p><p>• Develop and maintain scripts or automation solutions to reduce manual effort and improve consistency in recurring administrative tasks.</p>
  • 2026-09-18T00:00:00Z
Cloud Engineer
  • Jacksonville, FL
  • onsite
  • Temporary / Contract
  • 0 - 0 USD / Yearly
  • <p>Support, design, and optimize complex IT systems and cloud environments, with a focus on Azure infrastructure solutions. Ensure systems performance meets business needs while maintaining high availability.</p>
  • 2026-09-30T00:00:00Z
Data Engineer
  • Atlanta, GA
  • onsite
  • Permanent / Full Time
  • 100000 - 120000 USD / Yearly
  • <p>Robert Half is working with a client in the metro-Atlanta area seeking a Data Engineer.</p><ul><li>Develop ETL/ELT pipelines</li><li>Integrate multiple data sources</li><li>Optimize performance</li><li>Build data models</li><li>Manage cloud environments</li><li>Support analytics teams</li></ul>
  • 2026-10-02T00:00:00Z
Data Engineer
  • Remote, OH
  • remote
  • Temporary / Contract
  • 0 - 0 USD / Yearly
  • <p>We are looking for a Data Engineer to support data-focused initiatives with a strong emphasis on controls, process clarity, and technical documentation. This is a Long-term Contract position expected to begin as a 3-4 month engagement at 40 hours per week, with remote work flexibility. The ideal candidate will help strengthen data workflows, improve reliability across engineering processes, and create well-organized documentation that supports ongoing delivery and compliance.</p><p><br></p><p>Responsibilities:</p><p>• Design, build, and maintain data pipelines that support reliable movement and transformation of information across platforms.</p><p>• Develop clear technical documentation, data process records, and control-related artifacts to improve transparency and audit readiness.</p><p>• Use Python, Apache Spark, and ETL frameworks to prepare, cleanse, and transform large datasets for downstream consumption.</p><p>• Work with Hadoop- and Kafka-based environments to support scalable data processing and streaming or batch integration needs.</p><p>• Review existing data workflows to identify gaps in controls, consistency, and documentation quality, then recommend practical improvements.</p><p>• Collaborate with cross-functional stakeholders to clarify data requirements, align engineering deliverables, and support operational continuity.</p><p>• Monitor pipeline performance and troubleshoot data issues to maintain dependable processing and accurate outputs.</p>
  • 2026-10-08T00:00:00Z
Data Engineer
  • Cincinnati, OH
  • remote
  • Temporary / Contract
  • 0 - 0 USD / Yearly
  • We are looking for a Data Engineer to support a short-term Contract engagement focused on assessing and strengthening OpenLink security role design for a recently acquired business. This position will play a key role in reviewing current configurations, identifying gaps in segregation of duties, and helping shape a more effective access model. The role is based in Cincinnati, Ohio, with flexibility for remote or hybrid work depending on experience and project needs.<br><br>Responsibilities:<br>• Evaluate the existing OpenLink security framework and determine how well current role assignments support appropriate access controls.<br>• Recommend and help design an improved security role structure that aligns with segregation-of-duties expectations across the environment.<br>• Configure and refine OpenLink settings to support a secure, scalable, and well-governed access model.<br>• Partner with project stakeholders to document findings, explain risk areas, and outline practical remediation options.<br>• Support analysis related to the acquired company’s OpenLink setup and identify where adjustments are needed for consistency and control.<br>• Contribute technical expertise during project discussions, providing guidance on role configuration best practices and implementation considerations.<br>• Use data engineering tools and scripting capabilities to assist with analysis, validation, and supporting technical tasks where applicable.
  • 2026-10-07T00:00:00Z
Data Engineer
  • St. Paul, MN
  • onsite
  • Temporary to Hire
  • 57 - 66 USD / Hourly
  • <p>We are looking for a senior Data Engineer. This position combines architectural leadership with hands-on development across a modern cloud data ecosystem, with a strong focus on building dependable, scalable, and efficient data solutions. The role will help shape engineering standards, strengthen platform governance, and support high-quality data delivery for enterprise analytics and emerging AI-driven use cases.</p><p><br></p><p>Responsibilities:</p><p>• Provide technical direction to engineering teams and guide the successful execution of complex data platform initiatives.</p><p>• Create and enhance robust data pipelines and reusable data products that support scalable analytics and reporting needs.</p><p>• Develop and refine cloud-based data solutions using Snowflake, dbt, Fivetran, and Azure services.</p><p>• Build automation-first, metadata-driven processing frameworks to improve consistency, maintainability, and operational efficiency.</p><p>• Design curated data structures using established modeling approaches such as Data Vault, Kimball, and dimensional modeling.</p><p>• Improve platform performance through tuning, cost management, and scalability planning across data workloads.</p><p>• Establish and reinforce best practices for data quality, governance, lineage tracking, observability, and CI/CD delivery.</p><p>• Support Azure-based integration, storage, compute, and DevOps capabilities required for reliable end-to-end data operations.</p><p>• Enable data foundations that can support advanced analytics, AI/ML initiatives, and modern analytical architectures.</p>
  • 2026-10-01T00:00:00Z
Data Engineer
  • St. Paul, MN
  • onsite
  • Temporary / Contract
  • 47.5 - 55 USD / Hourly
  • <p>We are looking for an experienced Data Engineer to jcreate and enhance dependable data platforms that support HR and enterprise analytics, partnering closely with analysts, engineering leads, and business stakeholders on site. The position focuses on building scalable pipelines, strengthening data quality, and enabling trusted insights that improve operational decision-making across the organization.</p><p><br></p><p>Responsibilities:</p><p>• Design, develop, and maintain scalable data pipelines that integrate information from files, APIs, databases, replicated sources, and streaming inputs.</p><p>• Build and support modern data environments across warehouses, data lakes, and lakehouse architectures to meet analytics and reporting needs.</p><p>• Partner with business analysts, HR stakeholders, and technical team members to translate data requirements into reliable engineering solutions.</p><p>• Improve data quality, lineage, and governance by applying metadata-driven practices and implementing controls that increase trust in enterprise datasets.</p><p>• Lead end-to-end delivery of data engineering initiatives, from solution design and development through testing, deployment, and operational support.</p><p>• Manage orchestration, scheduling, and monitoring of data workflows to ensure stable performance and timely delivery of critical datasets.</p><p>• Apply DevOps practices such as version control, automated testing, and CI/CD processes to increase deployment quality and team collaboration.</p><p>• Use Python, SQL, and cloud-based tools to automate data processing, optimize performance, and support scalable distributed workloads.</p><p>• Implement data protection measures, including masking, encryption, anonymization, and role-aware access design, especially for sensitive workforce information.</p><p>• Support curated analytical datasets and reporting solutions by collaborating with downstream users on trusted models and enterprise data products.</p>
  • 2026-10-05T00:00:00Z
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