<p>We are seeking a Cloud Engineer to support the design, deployment, and maintenance of cloud infrastructure across our environments. This role focuses on building reliable, secure, and scalable cloud solutions while assisting development and IT teams with day‑to‑day cloud operations.</p><p><strong>Responsibilities</strong></p><ul><li>Deploy, configure, and manage cloud resources in AWS/Azure/GCP.</li><li>Maintain CI/CD pipelines and automate infrastructure tasks using tools such as Terraform, CloudFormation, or similar.</li><li>Monitor system performance, reliability, cost, and security posture across cloud workloads.</li><li>Support containerized applications (Docker/Kubernetes) and troubleshoot environment issues.</li><li>Implement cloud security best practices, including IAM, logging, patching, and network controls.</li><li>Assist with incident response, cloud migrations, and environment optimization.</li><li>Collaborate with engineering and IT teams to support application deployments and cloud operations.</li></ul><p><br></p><p><br></p>
We are looking for an experienced Cloud Developer to join our team in Herndon, Virginia. This is a Contract position where you will take on a leadership role in designing, implementing, and optimizing cloud-based solutions and DevSecOps practices. The ideal candidate will have a strong background in cloud technologies, CI/CD pipeline development, and infrastructure automation, with a focus on security and scalability.<br><br>Responsibilities:<br>• Lead the design and implementation of CI/CD pipelines using tools such as GitLab, GitHub, and Jenkins, ensuring integration of security and quality checks.<br>• Develop and maintain reusable infrastructure automation solutions using tools like Terraform and AWS CloudFormation.<br>• Oversee container orchestration efforts using Kubernetes and manage cloud-native services on AWS GovCloud.<br>• Establish and promote enterprise-level DevSecOps reference architectures and reusable pipeline templates.<br>• Integrate security controls, automated testing, and quality gates into all stages of the software development lifecycle.<br>• Guide platform engineering teams in creating sustainable, automated solutions for deployment and environment configurations.<br>• Ensure compliance with Zero Trust architecture principles, including identity, network, and data protection.<br>• Collaborate with cross-functional teams to implement cloud-based solutions that align with organizational goals.<br>• Provide technical leadership and mentorship to DevSecOps squads, fostering a culture of innovation and efficiency.<br>• Drive the adoption of state-of-the-art tools and methodologies to enhance system performance and security.
<p>Overview</p><p>We are seeking an experienced Storage & IPv6 Administrator to support the administration, maintenance, and optimization of enterprise storage systems within an IPv6‑enabled network environment. This role is responsible for ensuring high availability, performance, security, and reliability of storage infrastructure while supporting both IPv4 and IPv6 configurations.</p><p>The ideal candidate has strong hands‑on experience with SAN/NAS environments, backup and disaster recovery operations, and storage performance monitoring, along with a solid understanding of IPv6 networking concepts.</p><p><br></p><p>Key Responsibilities</p><p>Storage Administration & Management</p><ul><li>Configure, administer, and maintain enterprise storage systems including:</li><li>SAN</li><li>NAS</li><li>Direct Attached Storage (DAS)</li><li>Ensure high availability, performance, and reliability of storage environments</li><li>Monitor storage capacity, health, and performance metrics</li><li>Identify and resolve storage bottlenecks and performance issues</li></ul><p>Backup & Disaster Recovery</p><ul><li>Implement, manage, and validate backup solutions</li><li>Perform regular backups and disaster recovery procedures</li><li>Ensure data integrity, availability, and recoverability</li></ul><p>IPv6 & Network Integration</p><ul><li>Configure storage technologies to operate in IPv6 and IPv4 environments</li><li>Support IPv6 addressing, routing, and communication for storage systems</li><li>Troubleshoot connectivity and performance issues related to IPv6-enabled storage</li></ul>
<p>Our company is seeking a talented DevOps Engineer to join our team on a contract basis. In this role, you will collaborate closely with development, QA, and IT teams to streamline and enhance deployment pipelines, automation, and cloud infrastructure. The ideal candidate is adept at solving complex problems, communicates well, and is proactive in identifying and implementing continuous improvement opportunities. Key Responsibilities: Design, build, and maintain CI/CD pipelines to support scalable application development and deployment. Automate software build and deployment processes to improve reliability and efficiency. Manage and optimize cloud infrastructure (such as AWS, Azure, or Google Cloud Platform). Monitor system performance and troubleshoot issues related to infrastructure, deployment, and automation. Collaborate with developers and other team members to identify requirements and deliver technical solutions aligned with project goals. Maintain infrastructure as code using tools such as Terraform, Ansible, or similar. Implement and uphold security best practices in DevOps workflows and cloud architectures. Document procedures and share knowledge across the team to support a collaborative work environment.</p>
Our company is seeking a talented DevOps Engineer to join our team on a contract basis. In this role, you will collaborate closely with development, QA, and IT teams to streamline and enhance deployment pipelines, automation, and cloud infrastructure. The ideal candidate is adept at solving complex problems, communicates well, and is proactive in identifying and implementing continuous improvement opportunities. Key Responsibilities: Design, build, and maintain CI/CD pipelines to support scalable application development and deployment. Automate software build and deployment processes to improve reliability and efficiency. Manage and optimize cloud infrastructure (such as AWS, Azure, or Google Cloud Platform). Monitor system performance and troubleshoot issues related to infrastructure, deployment, and automation. Collaborate with developers and other team members to identify requirements and deliver technical solutions aligned with project goals. Maintain infrastructure as code using tools such as Terraform, Ansible, or similar. Implement and uphold security best practices in DevOps workflows and cloud architectures. Document procedures and share knowledge across the team to support a collaborative work environment.
<p>Our company is seeking a talented DevOps Engineer to join our team on a contract basis. In this role, you will collaborate closely with development, QA, and IT teams to streamline and enhance deployment pipelines, automation, and cloud infrastructure. The ideal candidate is adept at solving complex problems, communicates well, and is proactive in identifying and implementing continuous improvement opportunities. Key Responsibilities: Design, build, and maintain CI/CD pipelines to support scalable application development and deployment. Automate software build and deployment processes to improve reliability and efficiency. Manage and optimize cloud infrastructure (such as AWS, Azure, or Google Cloud Platform). Monitor system performance and troubleshoot issues related to infrastructure, deployment, and automation. Collaborate with developers and other team members to identify requirements and deliver technical solutions aligned with project goals. Maintain infrastructure as code using tools such as Terraform, Ansible, or similar. Implement and uphold security best practices in DevOps workflows and cloud architectures. Document procedures and share knowledge across the team to support a collaborative work environment.</p>
We are looking for an experienced Principal Advanced Analytics Engineer to join our team in Reston, Virginia. In this role, you will collaborate with business leaders and technical experts to design and implement cutting-edge AI and machine learning solutions that drive impactful insights and decision-making. This position offers the opportunity to lead advanced analytics initiatives, establish engineering standards, and mentor team members while staying at the forefront of emerging technologies.<br><br>Responsibilities:<br>• Collaborate with stakeholders to design and implement AI/ML solutions tailored to business objectives.<br>• Develop and enforce engineering standards, design patterns, and quality controls for analytics projects.<br>• Build and manage CI/CD pipelines for machine learning models, incorporating automated testing, monitoring, and retraining processes.<br>• Integrate Responsible AI practices to ensure fairness, bias detection, explainability, and compliance with regulations.<br>• Create and maintain enterprise data models, including dimensional and star schemas, to support analytics and business intelligence.<br>• Work closely with analytics teams to deliver scalable and efficient data solutions.<br>• Implement robust data security measures, access controls, and lineage tracking in line with corporate policies and privacy laws.<br>• Stay updated on advancements in AI, ML, and BI technologies, bringing innovative solutions to the team.<br>• Provide mentorship to Data Analytics Engineers, fostering attention to detail and promoting best practices.
<p><strong>Locations:</strong> Gaithersburg, MD • Eagan, MN • Egg Harbor, NJ</p><p><strong>Schedule:</strong> Hybrid (3 days onsite / 2 days remote)</p><p><strong>Clearance:</strong> Ability to obtain and maintain Public Trust (U.S. Citizenship required)</p><p><strong>Overview</strong></p><p>We are seeking a Junior Software Engineer with AI-enabled development experience to support a large-scale modernization program involving real‑time, high‑availability, safety‑critical systems. This role combines traditional software engineering with emerging AI‑augmented development techniques to enhance delivery, code quality, and system performance.</p><p>This position is ideal for engineers who actively apply AI in their day‑to‑day workflow and want to contribute to a mission-critical, complex engineering environment.</p><p><br></p><p><strong>What You’ll Do</strong></p><ul><li>Design, develop, test, and maintain software for real-time, high-availability systems.</li><li>Use AI-assisted development tools to accelerate coding, refactoring, debugging, and automated test generation.</li><li>Apply responsible AI practices across the full SDLC — requirements, design, implementation, testing, documentation, and code review.</li><li>Analyze complex system requirements and translate them into efficient, maintainable designs.</li><li>Develop and maintain automation scripts across development, test, and production environments.</li><li>Promote code quality, reuse, traceability, and cross-team collaboration.</li></ul>
<p>We are seeking an experienced IT Monitoring & Observability Engineer to support enterprise monitoring, performance, and availability across a complex IT environment. This role is responsible for managing and optimizing a unified monitoring and event management platform, driving actionable insights, improving alert quality, and supporting 24x7 operations.</p><p>The ideal candidate has strong hands‑on experience with OpenText Operations Bridge Manager (OBM) and related monitoring tools, deep knowledge of infrastructure monitoring, and a solid understanding of ITIL/ITSM practices.</p><p><br></p><p>Key Responsibilities</p><ul><li>Support and manage a unified Configuration Management Database (CMDB), ensuring accuracy and standardization</li><li>Collect, aggregate, and analyze monitoring and performance data to support ITIL processes including:</li><li>Configuration</li><li>Event</li><li>Capacity</li><li>Availability</li><li>Demand</li><li>Incident and Problem Management</li><li>Assess, tune, and optimize monitoring capabilities to deliver accurate, actionable alerts for 24x7 operations teams</li><li>Design, create, and maintain intuitive dashboards showing real‑time and historical service health and performance</li><li>Configure, maintain, and optimize monitoring dashboards across diverse infrastructure components</li><li>Deploy, manage, and update Management Packs, connectors, and monitoring policies</li><li>Perform event correlation, suppression, and filtering to reduce alert noise and improve incident triage</li><li>Integrate data from third‑party monitoring tools into a centralized event console</li><li>Conduct proactive performance and availability monitoring, identify root causes, and implement preventive measures</li><li>Support continuous improvement of monitoring strategy, tooling, and operational effectiveness</li></ul>
<p><strong>Data Modeling and Analysis</strong></p><ul><li>Design data models and optimize performance: Creating the structure of data relationships ensuring efficient data retrieval and calculations.</li><li>Create calculated columns and measures: Using DAX to calculate derived values and aggregate metrics.</li><li>Perform exploratory data analysis (EDA): Using BI tools to explore data, identify trends, and patterns.</li><li>Apply advanced data analysis techniques (e.g., statistical analysis, time series analysis, predictive modeling).</li><li>Integrate machine learning models into Power BI dashboards.</li><li>Experience building semantic models</li></ul><p><strong>Dashboard Development and Visualization</strong></p><ul><li>Designing dashboards: Creating visually appealing and interactive dashboards.</li><li>Creating visualizations: Using charts, graphs, and other visual elements to represent data.</li><li>Implementing interactivity: Adding filters, slicers, and drill-down capabilities.</li><li>Expertise in SQL and DAX and knowledge of Python, R.</li><li>Strong proficiency in Power BI.</li><li>Data modeling and visualization skills.</li><li>Strong problem-solving skills to address technical challenges and data quality issues.</li><li>Analytical skills with capacity to analyze complex data problems and draw meaningful insights.</li></ul>
<p>I’m building a world-class team to power our next generation of data products. We’re looking for a Senior Data Engineer who knows AWS inside and out—someone who can <strong>design secure, scalable data pipelines</strong>, <strong>own ETL/ELT workflows</strong>, <strong>engineer cloud data infrastructure</strong>, and <strong>deliver dimensional and semantic models</strong> that our analysts, data scientists, and applications can trust.</p><p>You’ll work closely with product, security, platform engineering, and analytics to move our architecture toward a <strong>real-time, governed, cost-aware</strong>, and <strong>highly automated</strong> data ecosystem.</p><p><strong>What You’ll Do</strong></p><ul><li><strong>Design & build end-to-end pipelines</strong> on AWS (batch and streaming) using services like <strong>Glue, EMR, Lambda, Step Functions, Kinesis, MSK</strong>, and <strong>Fargate</strong>.</li><li><strong>Develop robust ETL/ELT</strong> (PySpark, Spark SQL, SQL, Python) for structured, semi-structured, and unstructured data at scale.</li><li><strong>Own data storage & processing layers</strong>: <strong>S3 (Lake/Lakehouse), Redshift (or Snowflake on AWS), DynamoDB</strong>, and <strong>Athena</strong> with strong partitioning, compaction, and performance tuning.</li><li><strong>Implement data models</strong> (3NF, dimensional/star, Data Vault, Lakehouse medallion) for analytics and operational workloads.</li><li><strong>Engineer secure infrastructure-as-code</strong> with <strong>Terraform</strong> (or <strong>CDK</strong>) across multi-account setups; implement CI/CD via <strong>GitHub Actions</strong> or <strong>AWS CodeBuild/CodePipeline</strong>.</li><li><strong>Harden security & governance</strong>: use <strong>IAM</strong>, <strong>Lake Formation</strong>, <strong>KMS</strong>, <strong>Secrets Manager</strong>, <strong>VPC/PrivateLink</strong>, <strong>GLUE Catalog</strong>, and fine-grained access controls. Partner with SecOps on compliance (e.g., <strong>SOC 2</strong>, <strong>FedRAMP</strong>, <strong>HIPAA</strong> depending on dataset).</li><li><strong>Observability & reliability</strong>: build monitoring with <strong>CloudWatch</strong>, <strong>OpenTelemetry</strong>, and data quality checks (e.g., <strong>Great Expectations</strong>, <strong>Deequ</strong>), implement SLOs and alerts.</li><li><strong>Champion best practices</strong>: code reviews, testing (unit/integration), documentation, runbooks, and blameless postmortems.</li><li><strong>Mentor</strong> mid-level engineers and collaborate on architectural decisions, standards, and technical roadmaps.</li></ul><p><br></p>
We are looking for a skilled Data Engineer to join our team in Washington, District of Columbia. In this role, you will play a key part in designing and implementing secure, scalable solutions to support data and analytics initiatives. This is a long-term contract position, offering the opportunity to work with cutting-edge technologies and contribute to impactful projects.<br><br>Responsibilities:<br>• Develop, test, and maintain robust data pipelines and engineering solutions to support analytics and integrate new data sources.<br>• Collaborate with team members, stakeholders, and external vendors to evaluate and implement reliable, scalable, and secure technologies.<br>• Create efficient, automated processes to handle repetitive data management tasks.<br>• Conduct targeted data manipulation and analysis across diverse datasets.<br>• Implement advanced security measures within data warehouses and analytics platforms to counter evolving threats.<br>• Document technical processes and solutions to ensure seamless collaboration and knowledge sharing.<br>• Monitor and optimize system performance to ensure scalability and reliability.<br>• Stay updated on emerging data engineering trends and incorporate them into workflows.