Sr. Cloud DevOps Engineer

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.

Eligibility/Clearance: Candidate must possess an active TS/SCI clearance

and be willing to obtain a CI Polygraph, 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

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