Residency
All applicants must reside in the United States at the time of application.
Overview
BigBear.ai is seeking a Cloud Engineering / DevSecOps Technical Lead to support a federal client’s mission to accelerate the discovery and delivery of identity- and network-based intelligence to counter national security threat actors. This role partners closely with mission and technical stakeholders to translate operational needs into secure, scalable cloud solutions and reliable delivery pipelines.
As a Cloud Engineering / DevSecOps Technical Lead, you will provide hands-on leadership across cloud architecture, cloud development, platform engineering, and cloud security while guiding teams through Agile delivery. You will help stand up and mature DevSecOps practices, implement CI/CD and automation, and ensure solutions are delivered with quality, security, and performance built in from the start.
You will join a mission-focused team that values accountability, technical excellence, and measurable outcomes. If you enjoy leading delivery teams, solving complex engineering challenges, and improving how software is built and operated in secure environments, this role offers meaningful impact supporting national security priorities.
What you will do
- Lead and support delivery teams across cloud development, cloud architecture, systems engineering, cloud security, DevSecOps engineering and operations, and Agile methodologies
- Serve as a technical liaison between the customer and the engineering team, translating mission needs into clear technical requirements and implementation plans
- Act as the technical point of contact for cloud engineering stakeholders, aligning expectations and communicating risks, dependencies, and tradeoffs
- Plan, execute, and close projects to meet customer objectives, timelines, and quality expectations
- Define and track delivery health metrics and project KPIs; provide routine reporting to government leadership and internal management
- Design, implement, and maintain tooling and infrastructure to support modern development, testing, automation, and deployment
- Establish and continuously improve DevSecOps processes across development, test, release, deployment, update, and support activities
- Select, implement, and optimize CI/CD tools and pipelines to enable repeatable and secure delivery
- Perform technical reviews to validate software quality, supportability, and alignment with standards (including code and automation artifacts)
- Troubleshoot complex issues across the stack, resolve defects, and drive root cause analysis for recurring problems
- Promote automation-first practices to reduce manual work and improve speed, reliability, and consistency
- Integrate security throughout the lifecycle by enabling continuous vulnerability assessment, risk management, and secure engineering controls
- Support incident management activities and coordinate remediation across internal teams and customer stakeholders
- Coordinate and communicate effectively with distributed teams and customers (internal and external) throughout the delivery lifecycle
What you need to have
Bachelor's Degree and 2 to 5 years of experience; Master's Degree and 0 to 3 years of experience; 8 to 10 years with no degree
- Clearance: Must maintain an active TS/SCI security clearance
- Cloud: Foundational experience with AWS, including core services and
- Architecture: Foundational understanding of cloud architecture and design patterns
- Cloud computing: Foundational knowledge of cloud computing principles and delivery models
- Experience providing technical leadership in at least one of the following: cloud engineering, DevSecOps, platform engineering, or cloud security
- Strong stakeholder management skills, including the ability to translate customer requirements into actionable technical work
- Experience implementing or operating CI/CD pipelines and modern development toolchains
- Ability to work across teams to plan work, manage priorities, and deliver outcomes in an Agile environment
- Strong written and verbal communication skills
What we'd like you to have
- CompTIA Security+
- AWS Certified Developer – Associate or AWS Certified Solutions Architect (or comparable certification in Azure or GCP)
- Experience with CI/CD tooling such as GitLab and/or Jenkins (certifications or formal training preferred)
- ITIL certification
- Experience supporting intelligence or national security missions in a secure environment
Pay transparency
Please note the targeted compensation range is provided as an estimate, and any actual compensation offer may vary depending on the needs of the company, or an applicant's skillset, competencies, experience, education, certifications, location, or other factors. The estimated range does not include the value of any benefits offered.
About BigBear.ai
BigBear.ai is a leading provider of AI-powered decision intelligence solutions for national security, supply chain management, and digital identity. Customers and partners rely on Bigbear.ai’s predictive analytics capabilities in highly complex, distributed, mission-based operating environments. Headquartered in McLean, Virginia, BigBear.ai is a public company traded on the NYSE under the symbol BBAI. For more information, visit https://bigbear.ai/ and follow BigBear.ai on LinkedIn: @BigBear.ai and X: @BigBearai.
BigBear.ai is an Equal opportunity employer all protected groups, including protected veterans and individuals with disabilities.
