<p>Software Engineer – Microservices / DevSecOps</p><p>Location: Gaithersburg, MD 20878</p><p>Work Arrangement: Hybrid</p><p>Clearance: Ability to obtain and maintain a Public Trust</p><p><br></p><p><br></p><p>Position Overview</p><p>We are seeking a Software Engineer to design and implement scalable microservices-based applications supporting mission-critical programs. This role focuses on delivering high-quality software solutions within an Agile/SAFe environment, collaborating closely with systems engineering, product delivery, and DevSecOps teams.</p><p>The ideal candidate is a hands-on engineer with strong experience in microservices architecture, modern programming languages, and cloud-native development, along with a passion for building reliable, secure, and efficient systems. Exposure to AI-enabled or data-driven systems is a plus.</p><p>WKey Responsibilities</p><p>Application Development & Architecture</p><ul><li>Design, develop, and maintain microservices-based applications using modern engineering practices</li><li>Translate business requirements into scalable technical solutions</li><li>Build clean, maintainable, and testable code aligned to best practices</li></ul><p>Agile Delivery & Collaboration</p><ul><li>Participate in Agile / SAFe ceremonies (sprint planning, standups, retrospectives)</li><li>Collaborate with product owners, architects, and engineering teams</li><li>Contribute to system design discussions and technical decision-making</li></ul><p>DevSecOps & Integration</p><ul><li>Integrate services with databases, APIs, and messaging systems</li><li>Work within CI/CD pipelines and DevSecOps frameworks</li><li>Support deployment, monitoring, and continuous improvement of applications</li></ul><p>Operations & Optimization</p><ul><li>Troubleshoot, debug, and optimize application performance</li><li>Partner with QA, DevOps, and platform teams to ensure reliable delivery</li><li>Enhance system scalability, reliability, and maintainability</li></ul>
<p>Data Automation Engineer – AI / AWS / Azure</p><p>Work Arrangement: Remote</p><p>Clearance Requirement: Ability to obtain Public Trust</p><p><br></p><p>Position Overview</p><p>We are seeking a highly skilled Data Automation Engineer to design and implement advanced, AI-driven automation solutions across hybrid AWS and Azure environments. This role is focused on building scalable data pipelines, integrating modern cloud services, and leveraging Generative AI technologies to enhance enterprise analytics and operational workflows.</p><p>The ideal candidate is a hands-on engineer with strong expertise in data engineering, cloud platforms, and automation, combined with the ability to innovate and solve complex technical challenges. This role provides the opportunity to work on mission-critical systems, supporting large-scale data processing, reporting, and AI-enabled applications.</p><p><br></p><p>Key Responsibilities</p><p>Data Engineering & Pipeline Development</p><ul><li>Design, build, and maintain scalable data pipelines using AWS services (S3, Glue, Lambda, EMR, DynamoDB)</li><li>Develop and optimize ETL/ELT workflows across hybrid AWS and Azure environments</li><li>Integrate structured, unstructured, and streaming data across enterprise systems</li></ul><p>AI & Automation Engineering</p><ul><li>Leverage Generative AI frameworks (AWS Bedrock, Azure OpenAI, LangChain, Hugging Face) to build intelligent automation</li><li>Implement solutions for embeddings, vector generation, and RAG workflows</li><li>Develop AI-driven tools for data quality, anomaly detection, and pipeline optimization</li><li>Build AI-powered copilots for monitoring, troubleshooting, and workflow automation</li></ul><p>Data Platform Integration & Optimization</p><ul><li>Engineer real-time and batch ingestion pipelines using Spark, Kafka, and Flume</li><li>Integrate enterprise platforms and CRM data into data pipelines for analytics and reporting</li><li>Optimize SQL performance through stored procedures, indexing, and query tuning</li></ul><p>Cloud & DevOps Practices</p><ul><li>Implement CI/CD pipelines using tools such as GitHub, Jenkins, or Azure DevOps</li><li>Develop infrastructure solutions using Infrastructure-as-Code (IaC)</li><li>Ensure cloud security through IAM, RBAC, encryption, and network isolation</li></ul><p>Collaboration & Delivery</p><ul><li>Partner with cross-functional teams to gather requirements and deliver solutions</li><li>Support Agile delivery processes and continuous improvement initiatives</li><li>Provide technical troubleshooting and performance optimization across data systems</li></ul>
<p>Data Engineer – Databricks / Azure / AI Analytics</p><p><br></p><p>You must be able to obtain and maintain a public trust clearance,</p><p><br></p><p>Position Overview</p><p>We are seeking a highly capable Data Engineer to design and support scalable data pipelines and analytics environments within a cloud-based Azure data platform. This role focuses on building modern data solutions using Databricks, Spark, and distributed data architectures, supporting enterprise-level analytics and AI initiatives.</p><p>The ideal candidate brings hands-on expertise in Databricks engineering, cloud data pipelines, and data integration, along with strong collaboration skills to translate business requirements into technical solutions. This position offers the opportunity to work on large-scale data platforms and support advanced analytics and AI-driven workloads.</p><p><br></p><p>Key Responsibilities</p><p>Data Engineering & Pipeline Development</p><ul><li>Design, build, and optimize data pipelines using Databricks and Spark</li><li>Implement Medallion architecture and scalable data processing workflows</li><li>Develop ingestion pipelines for structured, streaming, and unstructured datasets</li></ul><p>Cloud & Platform Integration</p><ul><li>Work with Azure services (Data Factory, Storage, Functions, Log Analytics)</li><li>Integrate data across multiple sources to enable high-quality analytics</li><li>Support hybrid cloud initiatives and evolving data platforms</li></ul><p>Data Management & Optimization</p><ul><li>Ensure data quality, integrity, and accessibility across systems</li><li>Monitor pipeline performance and optimize cost, scalability, and efficiency</li><li>Support data governance, cataloging, and compliance standards</li></ul><p>Platform Operations & Support</p><ul><li>Troubleshoot performance issues, cluster stability, and configuration management</li><li>Support end-user requests and provide front-line platform support</li><li>Implement monitoring, logging, and alerting solutions</li></ul><p>DevOps & Automation</p><ul><li>Develop and maintain CI/CD pipelines and infrastructure-as-code (IaC)</li><li>Automate deployment and data workflows for improved efficiency</li><li>Support continuous delivery within Agile environments</li></ul>
<p>Robert Half Technology is seeking a Senior IT Systems Engineer to support a client in the aerospace and technology industry. This role will serve as a senior technical resource responsible for supporting and modernizing enterprise infrastructure across hybrid cloud and on-premises environments.</p><p>The ideal candidate will have strong experience supporting Microsoft and cloud infrastructure environments, identity and access management, systems automation, security hardening, and enterprise operations across Windows, Linux, Azure, and AWS platforms.</p><p> </p><p><strong>Duration:</strong> Contract-to-hire</p><p><strong>Location:</strong> Hybrid in Greater Seattle Area</p><p><strong>Pay Rate:</strong> $55-$65/hourly</p><p> </p><p><strong>Key Responsibilities</strong></p><ul><li>Design, implement, and support hybrid cloud infrastructure across Microsoft Azure and AWS environments </li><li>Administer and support enterprise identity services including Active Directory, Entra ID (Azure AD), SSO, Conditional Access, MFA, and hybrid identity integrations </li><li>Support Windows Server and Linux environments across both on-premises and cloud infrastructure </li><li>Manage virtualization environments including Hyper-V and related infrastructure technologies </li><li>Develop and maintain automation and Infrastructure-as-Code (IaC) solutions using Terraform, PowerShell, Bash, and related tools </li><li>Implement security hardening, vulnerability remediation, patching, and secure configuration baselines across enterprise systems </li><li>Support enterprise networking and authentication infrastructure including DNS, DHCP, VPNs, firewalls, load balancing, and cloud networking </li><li>Partner closely with Information Security teams to support compliance initiatives, infrastructure resiliency, and operational security standards </li><li>Support Microsoft 365 technologies and endpoint management solutions including Intune and Autopilot </li><li>Build and maintain monitoring, alerting, logging, and operational documentation for enterprise systems </li><li>Troubleshoot complex infrastructure, authentication, and cloud-related issues across hybrid environments </li><li>Support disaster recovery, backup, and business continuity planning initiatives </li><li>Serve as a senior escalation point for infrastructure and systems-related incidents and operational support </li></ul>