Application Cybersecurity Engineer

The Leidos Cybersecurity Architecture and Engineering (CAE) organization within the Corporate Information Security Office (CISO) has an immediate opening for a motivated Application Cybersecurity Engineer. In this role you will support application security activities for enterprise applications cloud-hosted services and AI-enabled or emerging technology solutions across Leidos.

As a member of the Cybersecurity Architecture and Engineering team you will work with internal customers developers engineers architects and vendors to help improve security practices for modern application environments. This role requires a foundation in application security secure software delivery cloud technologies and effective cross-functional collaboration. The ideal candidate will be comfortable contributing to security reviews evaluating solution risks supporting technical discussions and helping teams adopt modern technologies securely including artificial intelligence capabilities.

This position is well suited for a self-starter who can work independently on day-to-day objectives communicate effectively with technical and non-technical stakeholders and continue building skills in application security AI security and emerging technology risk.

Location: This position has flexibility to work onsite in Reston VA Orlando FL Gaithersburg MD or Remote from any U.S. based location.

Citizenship: U.S. Citizenship is required.

Primary Responsibilities

• Support application cybersecurity efforts for enterprise applications and emerging technology initiatives at Leidos.

• Participate in security design reviews technical assessments and architecture discussions for enterprise applications cloud-hosted services and AI-enabled solutions.

• Collaborate with developers engineers architects and stakeholders to identify and address security considerations in application integrations enhancements and deployments.

• Provide input on security considerations for data flows cloud services and AI-enabled application patterns.

• Support customer-facing meetings presentations and technical discussions with internal stakeholders project teams and vendors as needed.

• Help coordinate technical tasks action items and follow-ups to support project delivery timelines.

• Work with software and platform teams to encourage secure development practices and practical security improvements.

• Stay current on application security AI security and emerging technology risks and apply that knowledge to engineering and review activities.

• Contribute to written findings recommendations and technical communications related to application and AI security activities.

Basic Qualifications

• Bachelors degree and 4 to 8 years of relevant experience in cybersecurity application security software development data integration data analytics data engineering or related technical disciplines. Additional years of relevant experience training and/or professional certifications may be considered in lieu of a degree.

• Must be a U.S. citizen.

• Experience in application cybersecurity secure software development practices or related secure solution delivery activities.

• Experience working with cloud environments such as AWS or Azure.

• Working knowledge of one or more scripting or programming languages such as Python SQL or JavaScript.

• Experience with one or more of the following in enterprise environments: application development data integration data analytics or data engineering.

• Foundational knowledge of AI-enabled application patterns and associated security considerations including familiarity with concepts such as large language models retrieval augmented generation or agentic workflows.

• Understanding of software development lifecycles and modern delivery practices such as Agile or DevSecOps.

• Ability to communicate effectively with technical and non-technical audiences and contribute in collaborative team environments.

• Ability to support meetings presentations and customer-facing technical discussions.

• Knowledge of cybersecurity frameworks and standards such as the NIST Cybersecurity Framework NIST AI Risk Management Framework NIST SP 800-171 and NIST SP 800-53.

• Demonstrated initiative curiosity and willingness to continue learning in the AI security and emerging technology space.

Preferred Qualifications

All of the below are not requirements but would bring significant value to the team. No candidate is expected to have experience in all the below:

• Experience supporting or assessing AI-enabled applications or emerging technology solutions in enterprise environments.

• Hands-on experience with AI solution patterns such as agentic workflows retrieval augmented generation graph-based approaches context engineering or related concepts.

• Experience participating in security design reviews technical risk assessments or architecture evaluations for enterprise applications or cloud-hosted solutions.

• Experience with enterprise workflow platform or service management technologies such as ServiceNow.

• Experience working with vendors product teams or third-party solution providers.

• Experience working across multiple cloud service providers or with cloud-native security concepts.

• Practical software development or scripting experience that strengthens collaboration with engineering teams and supports application security activities.

• Experience producing technical analysis written findings or recommendations related to application security AI security or emerging technology risks.

If youre looking for comfort keep scrolling. At Leidos we outthink outbuild and outpace the status quo because the mission demands it. Were not hiring followers. Were recruiting the ones who disrupt provoke and refuse to fail. Step 10 is ancient history. Were already at step 30 and moving faster than anyone else dares.

Original Posting:

Pay Range:

The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job education experience knowledge skills and abilities as well as internal equity alignment with market data applicable bargaining agreement (if any) or other law.