Dark Wolf is looking for an Information System Security Manager (ISSM) who is interested in working in a fast-paced environment to establish a robust security posture for a government information system. The successful candidate will provide oversight and enforcement of DoD and Air Force Cyber Security policies and procedures in order to maintain a holistic security approach for the lifecycle of the system. The ISSM will act as the primary security advisor to the PM, AO, and ISO. In addition, the role may have oversight of an ISSO Team and ensure their compliance with established information security AF requirements. This position is located in Falls Church, VA supporting a hybrid schedule. 

Required Qualifications:

• 3 year’s experience as an ISSM or 5 year’s experience as a Sr. ISSO
• Hands-on experience enforcing information protection policies in an unclassified environment 
• Excellent written and verbal communication skills 
• At least one (1) of the following cyber security certifications: CASP+ CE, CSSLP, CISSP
• Strong experience with DoD and Air Force Risk Management Framework (RMF)
• Proficient with a major cloud services platform, i.e. GCP, Azure, AWS, etc.
• Bachelor’s Degree in Computer Science, Business, related field
• Proficient with Microsoft Office software suite
• U.S. Citizenship with an active Top Secret security clearance

Desired Qualifications:

• Experience with task management, metrics collection, and status reporting to management
• Proficient with Google Cloud Platform (GCP) technology
• Demonstrated knowledge/experience in the areas of resource allocation, workload management, and contract management
• One (1) or more of the following cyber security certifications: SEC+, SSCP, CASP,  GSEC, GICSP,  CEH, CDNA, CSSLP
• Any additional certifications relevant to system and cyber security not previously listed
• Experience with Common security tools such as Nessus, WASSP, SECSCN, and/or MBSA

The salary range for this position is estimated to be between $150,000.00 - $175,000.00, commensurate on experience and technical skillset.

We are proud to be an EEO/AA employer Minorities/Women/Veterans/Disabled and other protected categories.

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.

We are strictly looking for direct, full-time W2 employees. We do not engage with third-party staffing agencies, C2C, or 1099 independent contractors for this role.

Dark Wolf is seeking a Lead Cybersecurity Engineer to unify various cyber capabilities, systems, infrastructure, and data analytics to enable comprehensive cyber processing, analysis, exploitation, and dissemination in support of a wide range of cyber operations. The successful candidate will design, implement, and manage security measures to protect information systems from unauthorized breaches and cyber threats. They will ensure the confidentiality, integrity, and availability of sensitive data systems and architectures. This position is set to be supported in Chantilly, VA. Key responsibilities include, but are not limited to: 

• Performing the hands-on hardening required for an ATO.
• Executing the Assessment & Authorization (A&A) process in accordance with government requirements.
• Conducting technical evaluation of information systems design, and information security aspects and accreditation.
• Performing vulnerability assessments using standardized tools and best practices (e.g., Nessus, DISA STIGs, CIS Benchmarks, AWS Well Architected Framework) and implementing configuration updates as required.
• Preparing comprehensive security assessment testing documentation to validate applied security controls in support of A&A testing.
• Assessing and mitigating system security threats, risks, and vulnerabilities throughout the program life cycle.
• Participating as a member of a security engineering team designing, developing, implementing, evaluating, and/or integrating security architectures, systems, or components.
• Assisting customer staff in resolving operational security issues involving vendors who support the program.
• Analyzing, modifying when necessary and maintaining the Program’s operational security posture.

Required Qualifications:

• Bachelor’s degree in Computer Science, Information Assurance, Information Security System Engineering, or related discipline
• Active TS/SC Security Clearance (US Citizenship required)
• 12+ years of experience in IT Security, Information Assurance and/or Systems Security Engineering
• Experienced navigating and/or implementing security regulatory framework standards e.g. RMF, PCI/DSS,SOX and/or HIPAA
• Experience developing documentation; strong written and oral communication skills
• Comfortability and professionalism presenting to stakeholders
• Knowledge and experience in information systems security
• Knowledge of security system design tools, methods, and techniques
• Ability to harden containers for DoD use
• Experience applying STIGS
• Ability to develop best practices for processes and standards that will improve the system
• Working knowledge of IT security principles and methods 
• Knowledge of network identity and access management (e.g.,RBAC/ABAC, Policy-based access)
• Knowledge of DoD/IC system security control requirements
• Knowledge of continuous monitoring practices
• Possesses strong technical skills and analytic ability

Desired Qualifications:

• Any certifications relevant to system and cyber security
• Experience using the XACTA application
• Experience with Common security tools such as Nessus, WASSP, SECSCN, and/or MBSA
• Experience with task management, metrics collection, and status reporting to management
• Proficient with Google Cloud Platform (GCP) technology
• Demonstrated knowledge/experience in the areas of resource allocation, workload management, and contract management
• Familiarity with the Joint Special Access Program (SAP) Implementation Guide (JSIG)
• Worked or familiar with the operations of a Special Access Program Facility (SAPF)
• Experience developing and/or leading ATO package development

The salary range for this position is estimated to be between $150,000.00 - $180,000.00, commensurate on experience and technical skillset.

We are proud to be an EEO/AA employer Minorities/Women/Veterans/Disabled and other protected categories.

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.

We are strictly looking for direct, full-time W2 employees. We do not engage with third-party staffing agencies, C2C, or 1099 independent contractors for this role.

Dark Wolf constructs and deploys data management and analytics solutions for the defense and intelligence communities. We’re proud to boast a world-class engineering team that thrives on rolling up their sleeves to solve your mission’s biggest challenges.

Dark Wolf is seeking a highly motivated and self-directed professional to fill the role of Data Engineer/ETL Engineer. The candidate will be a member of a software development team supporting cloud-based and on-prem application development.

Required Qualifications:

• A degree in Computer Science, Information Systems, Engineering or related or an additional 4 years of experience in lieu of degree
• Experience with Python
• Experience with REST APIs
• Experience with full lifecycle agile software development projects

Desired Qualifications:

• Experience in AirFlow
• Experience with developing data models
• Experience with creating and implementing Artificial Intelligence (AI) models and tools

Additional Preferred skills:

• Rust

Position Clearance Requirement: 

TS/SCI with Full-Scope Polygraph

Location:  Chantilly/Herndon, VA. 

Equal Opportunity Employer:

We are proud to be an EEO/AA employer Minorities/Women/Veterans/Disabled and other protected categories. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.

Dark Wolf constructs and deploys data management and analytics solutions for the defense and intelligence communities. We’re proud to boast a world-class engineering team that thrives on rolling up their sleeves to solve your mission’s biggest challenges.

Dark Wolf is seeking a highly motivated and self-directed professional to fill the role of Software Developer/Data Engineer to support our team in Northern Virginia. The candidate will be a member of a software development team supporting cloud based application development.

Required Skills:

• Minimum 15 years of experience in software development
• Experience in Extract, Transform, and Load (ETL) data engineering
• Experience with REST APIs
• Experience with Java
• Experience with full lifecycle agile software development projects
• Desired skills:
• Experience with Python.
• Experience building data products in Apache Avro and/or Parquet
• On-the-job experience with Java software development.
• Experience deploying the complete DevOps Lifecycle including integration of build pipelines, automated deployments, and compliance scanning using test driven development.

 Responsibilities:

• Create APIs to package and disseminate data to mission partners
• Create access control mechanism to access collection data
• Implement standard interfaces, formats and application processes
• Build data models and analytics to support mission needs
• Implement and document RESTful API structures that communicate across data management components to include user interface, data flow, data ingestion, monitoring and dissemination

Position Clearance Requirement:

TS/SCI with Full-Scope Polygraph

Dark Wolf constructs and deploys data management and analytics solutions for the defense and intelligence communities. We’re proud to boast a world-class engineering team that thrives on rolling up their sleeves to solve your mission’s biggest challenges.

Dark Wolf is seeking a highly motivated and self-directed professional to fill the role of Senior Data Engineer. The candidate will be a member of a software development team supporting cloud-based and on-prem application development.

Required Skills:

• Minimum 15 years of experience in software development
• Experience with full lifecycle agile software development projects
• Experience building data products in Apache Avro and/or Parquet
• Python
• AWS
• Experience with REST APIs

Desired skills:

• Iceberg
• Presto/Trino/Spark
• Kubernetes
• Experience in AirFlow
• Experience with creating and implementing Artificial Intelligence (AI) models and tools

Additional Preferred skills:

• Rust

Position Clearance Requirement: 
 
TS/SCI with Full-Scope Polygraph

Location:  Chantilly/Herndon, VA. 

Equal Opportunity Employer:

We are proud to be an EEO/AA employer Minorities/Women/Veterans/Disabled and other protected categories. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.

Dark Wolf constructs and deploys data management and analytics solutions for the defense and intelligence communities. We’re proud to boast a world-class engineering team that thrives on rolling up their sleeves to solve your mission’s biggest challenges.

Dark Wolf is seeking a highly motivated and self-directed professional to fill the role of DevSecOps Engineer to support our team in Northern Virginia. Infrastructure The DevSecOps Engineer will be responsible for new and existing cloud production and development environments.  Deployment of new tools, infrastructure security, monitoring, auto-scaling, auto-recovery, performance tuning and installation/configuration of open-source applications.

Required Qualifications:

• A degree in Computer Science, Information Systems, Engineering or related or an additional 4 years of experience in lieu of degree
• Minimum 4 years of experience performing systems engineering related work in a multi-disciplinary, fast-paced, matrixed and cross-functional program in a resource intensive environment
• Demonstrated experience engineering and maintaining Continuous Integration deployment solutions using DevOps tools, such as Jenkins, CloudFormation, Nexus, Ansible, etc
• Experience using AWS technologies such as EC2, EBS, AMI, AWSCLI, CloudWatch, etc
• Excellent understanding of software development programming languages (Java, Python, Shell, etc.)
• In-depth knowledge of Linux operation systems

Desired Qualifications:

• AWS certifications
• Understanding of software development programming languages (Java, Python, etc.)
• Experience with Kubernetes and Docker

Position Clearance Requirement:

TS/SCI with Full-Scope Polygraph

Dark Wolf constructs and deploys data management and analytics solutions for the defense and intelligence communities. We’re proud to boast a world-class engineering team that thrives on rolling up their sleeves to solve your mission’s biggest challenges.

Dark Wolf is seeking a highly motivated and self-directed professional to fill the role of Machine Learning (ML) Engineer to support our team in Northern Virginia.

Responsibilities:

• Design, develop, and implement machine learning models and algorithms to solve specific business problems.
• Build and maintain scalable and robust machine learning pipelines for data ingestion, preprocessing, feature engineering, model training, evaluation, and deployment.
• Transform machine learning models into deployable APIs and integrate them with existing applications and infrastructure.
• Collaborate closely with data scientists, software engineers, and product managers to understand requirements and translate them into practical ML solutions.
• Experiment with different machine learning techniques and algorithms to identify the most effective approaches for given problems.
• Evaluate model performance using appropriate metrics and iterate on models to improve accuracy, efficiency, and scalability.
• Monitor and maintain deployed models, ensuring their reliability and performance in production environments.
• Troubleshoot and resolve issues related to machine learning models and pipelines.
• Stay up-to-date with the latest advancements in machine learning, deep learning, and related fields.
• Contribute to the development of best practices and standards for machine learning development and deployment within the team.
• Document machine learning models, experiments, and deployment processes.
• Potentially work with large datasets and big data technologies.
• Optimize machine learning models for performance and efficiency.

Qualifications:

• Master’s in computer science, Machine Learning, or higher level degree is preferred with of 3+ years of related industry experience in Machine Learning, Computer Science, Data Science or related fields.
• Demonstrated hands-on experience in developing and deploying machine learning models in a production environment.
• Strong programming skills in Python and experience with relevant machine learning libraries and frameworks such as TensorFlow, Keras, PyTorch, scikit-learn, etc.
• Solid understanding of machine learning algorithms (e.g., regression, classification, clusting, dimensionality reduction, deep learning architectures).
• Experience with data preprocessing, feature engineering, and data visualization techniques.
• Familiarity with data storage and processing technologies (e.g., SQL, NoSQL databases, Spark, Hadoop).
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and their machine learning services.
• Understanding of software development principles, version control (e.g., Git), and CI/CD pipelines.
• Strong analytical and problem-solving skills with the ability to interpret data and draw meaningful conclusions.
• Excellent communication and collaboration skills to effectively communicate technical concepts to both technical and non-technical audiences. 

Preferred Skills:

• Experience with specific areas of machine learning such as Natural Language Processing (NLP), Computer Vision, or Recommender Systems.
• Experience with MLOps practices and tools for automating and monitoring machine learning workflows.
• Knowledge of containerization technologies like Docker and orchestration tools like Kubernetes.
• Experience with building and deploying RESTful APIs.
• Familiarity with big data technologies and distributed computing.
• Experience with statistical modeling and inference. 

Position Clearance Requirement:

TS/SCI with Full-Scope Polygraph