Jobs at Dark Wolf Solutions

Performs continuous cybersecurity monitoring, threat detection, incident response, intrusion analysis, vulnerability management, and remediation across on-premises ELK and AWS GovCloud Splunk environments. Uses AI and machine learning to improve security analytics and response. Develops cyber operations procedures, conducts root cause analysis, documents incidents, supports customer exercises, and advises on DoD cybersecurity requirements. The role requires active Top Secret/SCI clearance, U.S. citizenship, relevant SOC experience, and hands-on Splunk, ELK, AWS, and GitLab expertise.

Designs, deploys, and sustains AWS GovCloud infrastructure supporting enterprise data science platforms. Responsibilities include cloud migration, high availability, version and patch management, backup and disaster recovery, incident response, security accreditation support, CI/CD, Kubernetes or PCF platforms, and infrastructure as code. The role also supports Posit data science tools, data applications, Agile development, customer coordination, and modernization initiatives.

Plans and manages end-to-end test and evaluation activities for defense and national security programs. Translates operational needs and vendor claims into test strategies, plans, metrics, methodologies, and data requirements. Coordinates modeling and simulation, physical range testing, regulatory approvals, commercial vendors, government program managers, and Service test organizations. Produces technically rigorous plans, milestone evidence, reports, and executive briefings to support acquisition decisions and accelerate military fielding.

Leads and executes Risk Management Framework authorization activities for systems and applications. Responsibilities include developing security documentation, conducting cloud security risk assessments, building authorization packages, supporting incident response and cyber defense operations, improving reporting and situational awareness, correlating security data, and automating inefficient processes. The role ensures compliance with NIST guidelines and DoD regulations while improving the technical and operational effectiveness of security capabilities.

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.

Operate and maintain on-prem IaaS and hypervisor platforms for a DoD customer. Implement system hardening, IaC/CaC automation, VMware and Linux administration, onboarding support, DoD policy compliance, and backup/disaster recovery planning. Monitor security and performance and document solutions.

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.

Designs, builds, and integrates AI/ML solutions and microservices for defense and intelligence missions. Responsibilities include fine-tuning language models, developing RAG pipelines and vector search integrations, designing model training and data pipelines, deploying containerized services with Docker and Kubernetes, integrating security scanning into CI/CD, managing multi-cloud environments, and mentoring developers in Agile teams.

Leads architecture and implementation of enterprise AI applications and agentic LLM workflows. Optimizes model inference, memory usage, quantization, and deployment for air-gapped environments. Designs multi-cloud Kubernetes infrastructure with Terraform, establishes DevSecOps security scanning and remediation, and drives Agile execution, technical debt management, and team mentorship.

Supports the development, testing, and deployment of AI and machine learning pipelines in secure environments. Responsibilities include maintaining ML data ingestion workflows, writing Python and Bash code, containerizing applications with Docker, conducting unit tests and security scans, and participating in Agile ceremonies, code reviews, and backlog refinement.

Supports CI/CD pipeline operations using Jenkins and GitLab CI/CD, integrates security scanning and automated testing, assists with vulnerability remediation, and maintains security compliance. Works with senior engineers to learn Infrastructure-as-Code and DevSecOps practices. Requires foundational experience with scripting, Linux administration, version control, containers, infrastructure automation, networking, and CI/CD concepts.

Architects and leads enterprise-scale AI software systems, including novel AI frameworks, LLMs, MLOps, multi-cloud and air-gapped infrastructure. Serves as the technical authority for high-assurance machine learning, container security, DevSecOps, and enterprise architecture. Advises government and agency leadership, establishes security standards, leads vulnerability remediation, and aligns engineering roadmaps with mission objectives.