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Secure and continuously improve cloud platform environments across classified and unclassified DoD systems. Responsibilities include vulnerability remediation, ATO and cATO support, security automation, DevSecOps integration, Zero Trust, IAM, PKI, network security, monitoring, and RMF documentation. The engineer will collaborate with software, platform, SRE, product, and government teams while troubleshooting access and security issues and supporting secure enterprise deployments.

Lead end-to-end cluster and application lifecycle initiatives for a real-time DoD data platform. Build and operate secure, scalable Kubernetes environments and distributed data services, including Kafka, Pinot, and Flink. Develop infrastructure as code, CI/CD and GitOps pipelines, observability, security controls, and automated testing. Collaborate across software, systems, cybersecurity, platform, and test teams while supporting customer integration, testing, and deployment activities. The role is onsite in Dulles, Virginia and may require up to 25% travel.

Develop and execute automated software performance and security tests, analyze test results and root causes, coordinate defect remediation, and improve testing procedures. Build test environments, plans, cases, and automation scripts for web services. Validate response times, feedback, error codes, XML, and JSON payloads while applying REST methods and OAuth authentication. The role is onsite in Colorado Springs, supports defense and government programs, requires U.S. citizenship and an active Secret clearance, and may involve up to 10% travel.

Build and architect fault-tolerant, large-scale real-time data platforms and streaming applications for DoD customers. Responsibilities include developing Kafka, Flink, and Kafka Streams infrastructure; creating ETL pipelines; managing relational and non-relational databases; applying software architecture patterns; and supporting cloud-native deployments. The role also involves technical leadership, mentoring engineers, and contributing to high-performance systems processing over one billion events daily.

The Senior Cybersecurity Engineer embeds DoD cybersecurity, Information Assurance, RMF, and DevSecOps controls into CI/CD pipelines and software delivery processes. Responsibilities include integrating security scanning and compliance tools, enforcing GitLab security gates, securing Kubernetes and container environments, supporting software supply chain integrity, triaging vulnerabilities, automating authorization evidence, and enabling continuous Authority to Operate. The role collaborates with engineering and government stakeholders and develops security documentation, standards, and security-as-code practices.

Serve as the embedded senior software engineering lead at Fort Hood, deploying, integrating, and sustaining data, AI, and application platforms for Army customers. Write production code, troubleshoot Kubernetes and DevSecOps environments, integrate mission data systems, create reproducible runbooks, support secure field deployments, enable operators, and translate customer feedback into product improvements. The role is onsite, requires an active Secret clearance and U.S. citizenship, and includes up to 30% travel.

Build and evolve a real-time DoD data platform processing more than one billion daily events at millisecond latency. Lead and support software teams, develop distributed data solutions, create WebSocket and REST APIs, and work hands-on with Kafka, Kafka Streams, Pinot, Java, Scala, and Kubernetes. The role involves time-series and geospatial data, collaboration across teams, obtaining Security+ certification within 90 days, and obtaining and maintaining a Top Secret clearance.

Coordinate configuration management within SAFe and DevSecOps teams, maintaining documentation, configuration items, change control processes, and CM plans aligned with SSC policies and NIST 800-53. Automate CM workflows using approved tools, support compliance with Quality teams, deliver software artifacts, and coordinate across project management, risk, quality, development, testing, fielding, sustainment, and cloud services teams.

Build and maintain large-scale data infrastructure, ETL pipelines, and cloud-native data applications for a Department of Defense platform. Design systems using Kafka, Flink, Kafka Streams, databases, Kubernetes, and related technologies. Collaborate with experienced engineers to deliver fault-tolerant, low-latency data platforms, while supporting enterprise cloud infrastructure, automation, observability, and data governance.

Build and deploy mission-critical distributed data platforms for defense and government customers. Responsibilities include collaborating with operators and stakeholders, onboarding and transforming DoD datasets, developing data platform features, using streaming and search technologies, evaluating COTS and open-source tools, and creating proofs of concept to validate solutions.