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Develop and secure software delivery pipelines for Space Systems Command defensive cyber solutions. Responsibilities include integrating security into CI/CD workflows, validating security requirements, configuring cloud environments to STIG and DoD standards, managing infrastructure with Terraform and Ansible, supporting AWS, Google Cloud, or Azure deployments, and assisting with Java and Python development. The role provides technical guidance and requires fully onsite support in Colorado Springs.

Lead security authorization for systems and applications across the RMF lifecycle. Develop authorization packages and security documentation, conduct cloud risk assessments, support incident response and cyber defense reporting, improve security processes and architectures, correlate security data, and automate inefficient workflows. The role requires collaboration with government stakeholders and focuses on maintaining compliant, effective IT systems and network defenses.

Monitors and analyzes cybersecurity events across on-premises ELK and AWS GovCloud Splunk environments. Performs incident response, threat detection, vulnerability management, intrusion analysis, root cause analysis, remediation, and security documentation. Develops defensive cyber operations procedures, supports customer exercises, and uses AI/ML to improve detection and response. Requires DoD cybersecurity experience, Splunk and ELK expertise, AWS security telemetry experience, GitLab proficiency, a CSSP certification, U.S. citizenship, and an active Top Secret/SCI clearance.

Lead and execute Risk Management Framework authorization processes for systems and applications. Develop security documentation, conduct cloud security risk assessments, build authorization packages, support incident response and cyber defense operations, improve reporting and situational awareness, and automate inefficient security processes. Coordinate with stakeholders to implement technical solutions that strengthen system security and compliance with NIST and DoD requirements.

Architects, develops, and deploys secure AI solutions for federal and defense organizations. Responsibilities include building RAG and LLM-agent systems, semantic search, NLP applications, predictive analytics, automated data pipelines, chatbots, explainable AI architectures, and interactive dashboards. The role integrates structured and unstructured enterprise data while ensuring compliance with DoD security requirements across classification levels.

Supports the development, maintenance, and monitoring of scalable ETL/ELT data pipelines in secure environments. Responsibilities include ingesting, cleaning, transforming, and validating structured and unstructured data; working with relational and NoSQL databases; building Docker modules; performing security scans and unit tests; and participating in Agile ceremonies and code reviews.

Architects and leads enterprise-scale data platforms, data mesh topologies, lakehouse infrastructure, and real-time analytics for classified environments. Establishes data architecture strategy, security and encryption standards, zero-trust governance, multi-cloud and air-gapped deployment strategies, and enterprise data modeling practices. Serves as the principal technical authority and advises government and executive stakeholders on mission-critical data capabilities.

Designs, builds, and optimizes batch and real-time data pipelines, warehouses, streaming solutions, analytical data models, and containerized data services. The role integrates diverse data sources, automates workflows, deploys secure multi-cloud services, embeds security scanning and encryption into CI/CD pipelines, and collaborates in Agile teams while mentoring junior engineers. Required expertise includes Spark, Kafka, Airflow, cloud data platforms, Python or related languages, databases, data modeling, Docker, and Kubernetes.

Architects and leads enterprise DevSecOps strategy, CI/CD pipelines, automated security integration, continuous ATO, testing frameworks, vulnerability remediation, compliance-as-code, and observability. Designs secure Kubernetes, zero-trust, secrets-management, infrastructure-as-code, and air-gapped environments. Provides technical leadership, establishes governance aligned with DoD and federal standards, evaluates tooling, develops roadmaps, and mentors engineering teams.

Leads architecture, scaling, governance, and implementation of enterprise data platforms across multi-cloud and air-gapped environments. Designs batch and streaming systems, optimizes Spark and Trino/Presto clusters, implements Terraform-based infrastructure, establishes data quality, lineage, security, and compliance controls, and leads Agile engineering pods while mentoring staff. Requires advanced expertise in distributed data systems, cloud platforms, Kubernetes, programming, and regulated defense environments.