May 21, 2026For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at LeidosCareersFraud@leidos.com.
Washington, DC11 days ago
The Data Architecture, Technology, and Analytics (DATA) section is looking for an experienced detailed oriented Data Architect/Engineer who will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for economic policy and research teams. The ideal candidate is an experienced hands-on data modeler with working knowledge of database design and administration, data pipeline building, and data wrangling who enjoys improving existing data systems and/or building them from the ground up.
The Data Architecture, Technology, and Analytics (DATA) section is looking for an experienced detailed oriented Data Architect/Engineer who will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for economic policy and research teams. The ideal candidate is an experienced hands-on data modeler with working knowledge of database design and administration, data pipeline building, and data wrangling who enjoys improving existing data systems and/or building them from the ground up.
li>Design, implement, and optimize DevSecOps pipelines and deployment automation using tools such as AWS CDK/Terraform/CloudFormation, Git, Jenkins/GitLab, GitHub Actions, AWS CodePipeline, Docker, and related technologies. Minimum THREE (3) years of experience in a technical leadership role, including leading or mentoring engineering teams responsible for cloud, DevOps, platform, or security operations.
The ideal candidate will have experience working with a variety of AI technologies and models and will have exceptional working knowledge on the architecture and design requirements to implement AI solutions that support cybersecurity operations (e.g., intrusion detection, intrusion prevention, incident response, vulnerability analysis, security tests and evaluations, etc.). • Design, implement, deploy, maintain, and evolve AI-enhanced cybersecurity solutions that support a broad range of functions including intrusion detection, intrusion prevention, incident response, insider risk, vulnerability analysis, threat hunting, cyber threat intelligence, and security test and evaluation activities.
Design, implement, and maintain seamless integrations between Jira with other enterprise systems, such as GitLab (source control & CI/CD), and ServiceNow (ITSM), using Okta,REST APIs, webhooks, middleware, and scripting. The DevOps Engineer (specifically Jira Platform Engineer) will serve as the technical owner of our Jira SaaS in government cloud, and is responsible for administering, configuring, and integrating the application within our enterprise technology ecosystem.
Design, develop, and optimize software applications that bridge technical teams and end-users, addressing business needs through innovative solutions and enhancing member or internal user experiences. • Collaborate with engineers, stakeholders, and team members to gather and analyze requirements and translate them into technical specifications, propose innovative solutions, and ensure timely task completion .
ul>Design, develop, and enhance complex software applications supporting mission-critical, time-sensitive initiatives focused on integrating distributed applications with the organization's Core Banking platform. Collaborate with Core Banking, testing, middleware, and platform teams to manage dependencies, mitigate risks, and meet aggressive delivery timelines.
Compensation decisions and the base range for this role take into account many factors including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. Broad knowledge of ArcGIS from an IT context (such as hardware, storage, security, networking, web services, virtualization, cloud computing).
Compensation decisions and the base range for this role take into account many factors including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. Broad knowledge of ArcGIS from an IT context (such as hardware, storage, security, networking, web services, virtualization, cloud computing).
Compensation decisions and the base range for this role take into account many factors including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. Proactively craft and propose solutions that clarify how GIS brings business value to our customers by addressing the critical challenges they face.