Sr. Cloud DevOps Engineer

Job Description
Job Title: Sr. Cloud DevOps Engineer
Job Location: Chantilly, VA
Compensation: $180,000 - $190,000
Eligibility/Clearance: Candidate must possess an active TS/SCI clearance
and be willing to obtain a CI Polygraph
Job Description:
We are developing an Independent Verification and Validation (IV&V)
program that will design, develop, and implement a scalable, repeatable,
automated, and enterprise-wide framework for evaluating the quality,
accuracy, and mission utility of GEOINT products. The framework will
support imagery, geospatial data, 3D GEOINT, mapping products, and
future GEOINT data types by providing standardized methodologies for
automated testing, metric generation, data storage, visualization, and
reporting.
The successful candidate will be part of a team to support the design,
development, integration, testing, deployment, and sustainment of the
enterprise IV&V platform while collaborating with Government
stakeholders to evaluate existing GEOINT IV&V capabilities, implement
automated verification processes, and deliver secure, scalable software
solutions.
Role Overview
The Cloud & DevOps Engineer will design, implement, automate, and
maintain the cloud infrastructure, development platform, and continuous
integration/continuous deployment (CI/CD) pipelines supporting an
enterprise Independent Verification and Validation (IV&V) framework.
This position will ensure the platform is scalable, secure, reliable,
and capable of supporting automated evaluation of GEOINT products,
including imagery, geospatial data, mapping products, and 3D GEOINT
datasets.
Working closely with software developers, system engineers, and
Government stakeholders, the Cloud & DevOps Engineer will develop
cloud-native infrastructure, automate application deployment, manage
containerized services, and integrate security, monitoring, and
performance optimization throughout the software development lifecycle.
The engineer will enable rapid delivery of new IV&V capabilities while
maintaining compliance with cybersecurity and enterprise architecture
requirements.
Key Responsibilities
- Design, deploy, and maintain secure cloud-native infrastructure
supporting the enterprise GEOINT IV&V platform.
- Develop and maintain Infrastructure as Code (IaC) to automate
provisioning, configuration, and lifecycle management of cloud
resources.
- Design, implement, and maintain CI/CD pipelines to support automated
software builds, testing, security scanning, and deployments.
- Deploy and administer containerized applications using Kubernetes,
OpenShift, Docker, or similar container orchestration platforms.
- Automate software delivery, infrastructure management, configuration
management, and operational workflows using industry-standard DevOps
tools and scripting languages.
- Integrate automated security scanning, vulnerability assessment, and
DevSecOps practices throughout the software development lifecycle.
- Configure and maintain cloud networking, storage, compute resources,
identity management, and access controls.
- Implement monitoring, logging, alerting, and operational dashboards
to ensure system availability, performance, and reliability.
- Support deployment and management of enterprise data services
supporting GEOINT metric collection, storage, visualization, and
analytics.
- Optimize cloud resource utilization, system performance,
scalability, and operational costs.
- Collaborate with software engineers to support development, testing,
and deployment of automated GEOINT IV&V capabilities.
- Support integration of commercial GEOINT data sources, research
products, evaluation tools, APIs, and visualization services into
the enterprise platform.
- Develop technical documentation, architecture diagrams, standard
operating procedures, deployment guides, and system configuration
documentation.
- Support system integration, testing, troubleshooting, accreditation
activities, and transition to operations.
- Participate in Agile development activities including sprint
planning, backlog refinement, technical reviews, and demonstrations.
Requirements:
- Bachelor's degree in Computer Science, Software Engineering,
Information Technology, Computer Engineering, or a related technical
discipline and 9 years of relevant experience, or a Master's degree
in a related field and 7 years of relevant experience.
- Experience designing, implementing, and administering enterprise
cloud environments using Amazon Web Services (AWS), Microsoft Azure,
or equivalent cloud platforms.
- Experience developing Infrastructure as Code using Terraform,
CloudFormation, Pulumi, or equivalent automation frameworks.
- Experience developing and maintaining CI/CD pipelines using GitLab
CI/CD, GitHub Actions, Jenkins, Azure DevOps, or similar
technologies.
- Experience deploying and administering containerized applications
using Docker, Kubernetes, OpenShift, or similar orchestration
platforms.
- Experience with DevSecOps practices, automated security scanning,
and secure software delivery pipelines.
- Strong scripting and automation skills using Python, Bash,
PowerShell, or similar languages.
- Experience implementing monitoring, logging, and observability
solutions using tools such as Prometheus, Grafana, Elasticsearch,
Kibana, CloudWatch, or equivalent technologies.
- Experience with Linux system administration, networking, identity
and access management, storage, and cloud security services.
- Experience troubleshooting distributed systems, cloud
infrastructure, and application deployment issues.
- Experience supporting Agile software development teams and modern
software engineering practices.
- Strong written and verbal communication skills with the ability to
prepare technical documentation and present technical solutions to
Government stakeholders.
Preferred:
- Experience supporting NGA, NRO, DoD, Intelligence Community, or
other Federal GEOINT or geospatial programs.
- Experience developing or supporting enterprise GEOINT, remote
sensing, imagery exploitation, mapping, or geospatial analytics
systems.
- Experience with cloud-native data processing architectures
supporting large-scale imagery or geospatial data workflows.
- Experience implementing automated software quality assurance,
testing frameworks, and DevSecOps pipelines.
- Experience integrating automated cybersecurity tools including
static analysis, software composition analysis, container scanning,
and vulnerability management.
- Experience supporting Risk Management Framework (RMF), NIST 800-53,
ICD 503, Authority to Operate (ATO), or Authority to Develop (ATD)
processes.
- Experience with PostgreSQL, PostGIS, Elasticsearch, object storage,
or other enterprise data platforms supporting large geospatial
datasets.
- Experience implementing API gateways, RESTful services, message
queues, or event-driven architectures.
- Experience supporting GPU-enabled computing, high-performance
computing (HPC), or AI/ML infrastructure.
- Familiarity with Open Geospatial Consortium (OGC) standards,
GeoJSON, STAC, or other geospatial interoperability standards.
- AWS Certified Solutions Architect, AWS DevOps Engineer Professional,
Certified Kubernetes Administrator (CKA), Red Hat OpenShift
Administration, or comparable cloud certifications.
- Experience supporting automated software verification, validation,
or test environments.
Education:
- Bachelor’s degree in Information Systems, Engineering,
Cybersecurity, or related technical field (or equivalent
experience).
ATR is an Equal Opportunity Employer (EOE) who will provide equal
employment opportunity to employees and applicants for employment
without regard to race, ethnicity, religion, color, sex, pregnancy,
national origin, age, veteran status, ancestry, sexual orientation,
gender identity or expression, marital status, family structure, genetic
information, or mental or physical disability