2 days ago
New Bedford, MA, USA or McLean, VA, USAStaff+
Base Salary
$173k - $260k/yr
Responsibilities
- Translate a sponsor’s data mesh vision into technical roadmaps, prototypes, and production capabilities across data products, security, and analytics.
- Design, develop, integrate, test, deploy, and operate enterprise data architectures and resilient cloud and distributed software capabilities.
- Establish repeatable deployment patterns, automated infrastructure provisioning, integration pipelines, and implementation guidance.
- Integrate identity and access management, data protection, vulnerability management, monitoring, and security authorization evidence into the software lifecycle.
- Enable secure analytics and artificial intelligence capabilities through governed data products and cloud-based tools and services.
- Implement data ownership, discoverability, metadata, provenance, quality, and access policies for responsible data use and governance.
- Lead cross-functional engineering teams, mentor technical staff, and coordinate with sponsors, mission partners, security authorities, and technology providers.
- Communicate technical options, delivery progress, risks, and investment priorities to technical and executive audiences.
- Develop technical approaches and proposals and contribute to business development and department innovation.
Requirements
- Typically requires 10 years of related experience with a bachelor’s degree, 8 years with a master’s degree, 5 years with a PhD, or an equivalent combination of related education and work experience.
- Experience delivering complex cloud platforms or distributed software systems through implementation, integration, testing, deployment, and operational readiness.
- Experience translating architectures or mission concepts into actionable engineering plans and delivered capabilities.
- Experience leading software or systems engineering teams across multiple technical disciplines and stakeholder organizations.
- Strong understanding of cloud and distributed systems principles, including service interfaces, automation, resilience, scalability, observability, and secure operations.
- Experience incorporating security engineering into cloud platform delivery, including vulnerability management, access controls, data protection, and organizational or government security requirements.
- Familiarity with enterprise data architecture and data mesh concepts, including domain-oriented data products, interoperability, shared platform services, and federated governance.
- Familiarity with AI and machine learning services and the supporting data, integration, and security capabilities.
- Ability to communicate with senior leaders, explain technical tradeoffs, and align engineering execution with mission priorities.
- Active Top Secret/SCI with Polygraph U.S. Government-issued security clearance is required.
- U.S. citizenship is required for security-clearance eligibility.
- Preferred qualifications include experience with large distributed cloud environments, classified or air-gapped environments, enterprise data platforms, engineering organizations, vulnerability management, federal cloud authorization, reusable secure delivery patterns, AWS and other cloud or private-cloud platforms, senior government stakeholders, and technical proposals.
Benefits
- Competitive benefits and meaningful career development are offered.
- The position is onsite and requires a minimum of three days per week onsite.
About MITRE
MITRE is a nonprofit systems engineering and applied research organization that operates multiple federally funded research and development centers for U.S. government agencies. It builds prototypes, frameworks (such as the MITRE ATT&CK knowledge base), and provides technical guidance across defense, cybersecurity, aviation, and healthcare. Founded in 1958 and headquartered in McLean, Virginia, MITRE runs FFRDCs for sponsors including the Department of Defense, the Federal Aviation Administration, and health agencies.