Cloud Engineer

BigBear.ai; Washington (District of Columbia); On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Equal opportunity employer

Opportunities for professional development

Job summary

BigBear.ai is looking for a Cloud Engineering / DevSecOps Technical Lead to support federal clients in Washington, D.C. This role involves leading teams in cloud architecture and operations, translating mission needs into technical requirements, and enhancing DevSecOps practices.

The ideal candidate will possess a Bachelor's Degree with relevant experience, strong technical leadership skills, and the ability to communicate effectively. Join BigBear.ai, a leader in AI-powered decision intelligence solutions.

Qualifications

• 2 to 5 years of experience for Bachelor's degree; 0 to 3 years for Master's; 8 to 10 years without degree.
• Must maintain an active TS/SCI security clearance.
• Foundational understanding of cloud architecture and design patterns.

Responsibilities

• Lead delivery teams in cloud development and DevSecOps.
• Serve as a technical liaison and translate mission needs.
• Optimize CI/CD tools and pipelines for secure delivery.

Skills

AWS

DevSecOps

Stakeholder management

CI/CD pipelines

Agile methodologies

Education

Bachelor's Degree

Master's Degree

8 to 10 years experience without degree

Tools

GitLab

Jenkins

Job description

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.

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
• 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

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.