AFS is currently seeking a highly skilled and experienced Senior Security DevOps Engineer. The ideal candidate will have a deep understanding of implementing various security measures to protect an organization's computer systems and networks. This role requires a strong foundation in security pipeline automation and containerization technologies, as well as proficiency in applying DISA Security Technical Implementation Guides (STIGs) and operating within applications and data. The successful candidate will have a proven track record of successfully designing and implementing security solutions in both on-premises and cloud environments and will be able to work collaboratively with other IT professionals to ensure the security of the organization's systems and data.

Responsibilities:

• Design, deploy, and manage security solutions (Scanning, IDS/IPS, NIDS/NIPS, SIEM) in cloud environments as well as cloud air-gapped environments.
• Empower developers and data scientists’ customers to move fast while championing security at the start, understand friction points and implement solutions.
• Make sure appropriate measures are implemented for secure application development and supply chain protection.
• Research and recommend technical solutions to various controls by understanding NIST 800-53 Risk Management Framework (RMF) and CNSSI 1253 & assist in developing policies, procedures and guidelines.
• Lead the effort in closing out Plan of Action & Milestones (POA&M) items that are associated with technology-related control items and findings.
• Responsible for implementing security solutions within container orchestration technologies such as Docker and Kubernetes.
• Conducting risk assessments and vulnerability assessments via implementing CI jobs to scan for various security defects such as SAST, DAST & container scanning.
• Apply DISA STIGs to ensure compliance with security standards and policies.
• Collaborating with other IT professionals to ensure that security is integrated into all aspects of the organization's IT infrastructure.
• Stay abreast of latest security threats, tools and techniques and recommend defense in depth strategies to mitigate risk to the organization.
• Provide mentorship and guidance to the team on cybersecurity best practices and basic cyber hygiene.

Amazing to Have:

• Direct experience with Elasticsearch, Kibana (ELK) Stack deployment and maintenance to include fleet and agent setup.
• AWS Elastic Kubernetes Service (EKS) experience.
• Gitlab CI/CD pipeline engineering experience.
• Familiarity with one or more of Java/Kotlin/NPM programming languages.

Qualifications:

• Bachelor’s Degree or equivalent experience and minimum 8 years prior relevant experience, or Masters Degree in a related field and minimum 5 years of experience.
• Preferred candidate has a background in incident response and/or DevSecOps.
• Solid understanding of Linux/Unix Administration.
• Experience with containerization and orchestration technologies, particularly Docker and Kubernetes.
• Proficient in one or more computer programming languages commonly used in scripting & automation. IE: Bash, Python, Go, or Rust
• Proficient in applying DISA STIGs within cloud and containerized environments.
• Demonstrated experience in automating deployments and developing infrastructure as code (IaC).
• Strong background in DevOps practices and tools, including Jenkins, Git, Ansible, and Terraform.
• Possess and maintain relevant DoD 8570/8140 IAT level II

Nice to have

• Excellent problem-solving skills and the ability to work in a fast-paced, evolving environment.
• Effective communication skills, both written and verbal, with the ability to present technical information to a non-technical audience.

Clearance

• An active TS/SCI is required

Job Overview

The Program Data Science Analyst will play a critical role in supporting program and project planning, execution, and monitoring activities across various initiatives. This role blends deep data science expertise with program analysis, enabling the organization to extract insights from large-scale, heterogeneous data sources, automate analytical workflows, and support mission-critical decision-making. The ideal candidate is a hands-on technical expert who can independently develop models, pipelines, analytical tools, and dashboards that simplify understanding and aid decision making while also collaborating with and providing their own analysis and insights to cross-functional teams, senior leaders, and external partners to aid with program planning, execution, and ultimately delivery of project objectives.

Essential Functions

• Develop scalable algorithms for large-scale data, applying data mining, clustering, statistical modeling, graph analytics, and visualization techniques to solve analytical problems with incomplete data sets.
• Conduct exploratory data analysis, identify patterns, and generate actionable insights from structured, semi-structured, and unstructured data.
• Develop visualizations and dashboards to communicate findings to technical and non-technical stakeholders.
• Build tools and automation to streamline data ingestion, transformation, and analysis.
• Design and optimize analytic pipelines, graph traversal queries, and data processing workflows to ensure reliable performance across all environments.
• Develop scripts and pipelines to process large data streams and support real-time or near-real-time analytics.
• Design, develop, test, and document data science microservices and analytical applications
• Conduct data analysis to support project performance tracking and decision-making processes using key metrics and reporting tools
• Collaborate with program managers to gather, validate and analyze data to ensure data accuracy and usability.
• Prepare and maintain project documentation, including charters, plans, timelines, status reports, reporting dashboards, and deliverables.
• Collaborate with program managers and team members to identify challenges and risks, provide analysis and management recommendations.
• Develop and analyze key performance indicators (KPIs) to monitor project health and success.
• Assist in budget tracking, cost analysis, and resource allocation planning to help ensure projects remain within financial parameters.
• Maintain and update project management tools and systems
• Generate detailed project reports, dashboards, and presentations for stakeholders.
• Research best practices, recommend process improvements, and support the development of processes and tools to enhance project efficiency.
• Facilitate and participate in post-project evaluations and recommend improvements for future initiatives.
• Ensure that all project documentation is stored and organized according to PMO standards
• Perform additional duties as required to support the success of project initiatives.

Standard Essential Functions

• Regular and reliable attendance on a full time basis [or in accordance with posted schedule].
• Responsible for exhibiting professional behavior with both internal and external business associates that reflects positively on the company and is consistent with the company's policies and practices.
• Embodies AEVEX’s cultural values and aligns daily actions with department goals and company culture.

Qualifications and Competencies

• Proficient in Microsoft Excel (e.g., dynamic arrays, Power Query, PowerPivot) and project management tools (e.g., MS Project, Jira), as well as the Microsoft Office Suite (Word, Excel, PowerPoint)
• Strong analytical and problem-solving skills with a focus on interpreting data and providing actionable insights.
• Proficiency in Python; experience with C++, Java, or R is beneficial
• Familiarity with AI/ML tools supporting logistics or operational use cases.
• Ability to quickly learn new tools and technologies.
• Effective verbal and written communication, alongside strong interpersonal and collaboration skills.
• Detail-oriented with a commitment to accuracy, data integrity, and confidentiality
• Ability to manage multiple tasks and priorities effectively in a fast-paced environment.
• Self-starter with strong problem-solving skills; able to work independently with minimal oversight.
• Collaborative team player with strong interpersonal skills.
• Excellent organizational and time management skills in fast-paced environments.

Education / Certifications

• Bachelor’s degree in business administration, data analytics, or a related field.
• Master’s degree in quantitative discipline (Statistics, Data Science, Data Analytics, Computer Science, Engineering, etc.) preferred.
  • Additional applicable experience may be substituted for formal education.
• Certifications in project management (e.g., PMP, CAPM) or data analysis (e.g., Tableau, Power BI) are a plus.

Experience

• 5+ years of experience using data science, machine learning, or advanced analytics
• 2+ or more years of experience in project analysis, data analysis, or project management (preferred).
• Experience in data management, reporting, or process improvement roles is preferred. • Experience with BI tools (Tableau, PowerBI, Qlik).
• Experience with Continuous Integration/deployment (CI/CD) tools (Git, Jenkins, Docker).
• Experience with graph analytics and graph traversal languages (Gremlin, Cypher, GraphML).
• Experience communicating analytical findings through visualizations and presentations.
• Experience with data orchestration tools (Airflow) and data engineering platforms (Databricks, ElasticSearch, Apache NiFi, StreamSets).
• Experience working with structured, unstructured, or semi-structured data and conducting analysis
• Strong experience with SQL and relational databases.

Physical Requirements

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties the employee is:

• Frequently required to sit, and to reach to use computers and other office equipment

For the purpose of this summary, occasionally is used to represent up to 1/3 of the time given to the work day, frequently represents 1/3 to 2/3 of the time and constantly represents 2/3 or more of the time.

Security Clearance

• Ability to obtain/maintain Secret DoD clearance minimum, U.S Citizenship required.
• Eligibly to obtain/maintain Top Secret/SCI preferred.

Disclaimer:

AEVEX Aerospace is an Equal Opportunity employer. We are committed to providing equal employment opportunities to all employees and applicants without regard to race, religious creed, color, sex (including pregnancy, breast feeding and related medical conditions), gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship status, military and veteran status, marital status, age, protected medical condition, genetic information, physical disability, mental disability, or any other protected status in accordance with all applicable federal, state and local laws.