Career Opportunities

• Experience with Python, Spark, and working with large-scale data.
• Must have a strong background in network protocol analysis.
• The ideal candidate will be inquisitive and have a discovery-focused mindset.
• Level 2:
  • 5 years of relevant experience in the following areas: computer system research, simulation/ model development and prototyping, software design, programming, computational science, algorithm analysis, design, and reverse engineering/ designing/ developing to include hardware and/ or software.
  • A Bachelor’s degree in Computer Science or related fields such as (Engineering, Mathematics, Information Technology, or Information Systems), only if the following foundational Computer Science areas are met: algorithms, computer architecture, programming methodologies, data structures, logic and computation, and advanced mathematics.
• Level 3:
  • 8 years of relevant experience in the following areas: computer system research, simulation/ model development and prototyping, software design, programming, computational science, algorithm analysis, design, and reverse engineering/ designing/ developing to include hardware and/ or software.
  • A Bachelor’s degree in Computer Science or related fields such as (Engineering, Mathematics, Information Technology, or Information Systems), only if the following foundational Computer Science areas are met: algorithms, computer architecture, programming methodologies, data structures, logic and computation, and advanced mathematics.
• Level 4:
  • 11 years of relevant experience in the following areas: computer system research, simulation/ model development and prototyping, software design, programming, computational science, algorithm analysis, design, and reverse engineering/ designing/ developing to include hardware and/ or software.
  • A Bachelor’s degree in Computer Science or related fields such as (Engineering, Mathematics, Information Technology, or Information Systems), only if the following foundational Computer Science areas are met: algorithms, computer architecture, programming methodologies, data structures, logic and computation, and advanced mathematics.

• A current government clearance, background investigation, and polygraph are required.

• Experience supporting cyber, intelligence, or collection mission areas
• Experience with strategic and/or operational planning (e.g., joint operations)
• Ability to collaborate across teams and external stakeholders
• Strong organizational and communication skills
• Experience supporting IC or DoD mission environments preferred

Level 1:

• A High School diploma/GED with 6 years of relevant experience, OR
• An Associate’s degree with 4 years of relevant experience, OR
• A Bachelor’s degree with no experience required
• Degree in Cybersecurity, Information Assurance, or related field preferred (degree in any field acceptable)

Level 2:

• A High School diploma/GED with 9 years of relevant experience, OR
• An Associate’s degree with 7 years of relevant experience, OR
• A Bachelor’s degree with 5 years of relevant experience, OR
• A Master’s degree with 3 years of relevant experience, OR
• A Doctoral degree with 2 years of relevant experience
• Degree in Cybersecurity, Information Assurance, or related field preferred (degree in any field acceptable)

Level 3:

• A High School diploma/GED with 12 years of relevant experience, OR
• An Associate’s degree with 10 years of relevant experience, OR
• A Bachelor’s degree with 8 years of relevant experience, OR
• A Master’s degree with 6 years of relevant experience, OR
• A Doctoral degree with 4 years of relevant experience
• Degree in Cybersecurity, Information Assurance, or related field preferred (degree in any field acceptable)

Level 4:

• A High School diploma/GED with 15 years of relevant experience, OR
• An Associate’s degree with 13 years of relevant experience, OR
• A Bachelor’s degree with 11 years of relevant experience, OR
• A Master’s degree with 9 years of relevant experience, OR
• A Doctoral degree with 7 years of relevant experience
• Degree in Cybersecurity, Information Assurance, or related field preferred (degree in any field acceptable)
• US citizenship and an active TS/SCI with Polygraph security clearance required

• Perform advanced manual threat hunting
• Conduct PCAP and packet-level analysis
• Perform network traffic, protocol, and netflow analysis
• Analyze malicious activity and identify exploited weaknesses
• Correlate enterprise security events for situational awareness
• Understand IDS/IPS tuning and Snort filters
• Identify Command and Control (C2) indicators
• Detect host- and network-based intrusions

• Four (4) years of demonstrated experience as a Cyber Defense Analyst in programs and contracts of similar scope, type, and complexity is required. A technical bachelor’s degree from an accredited college or university may be substituted for two (2) years of CDA experience.
• 1 year TCP/IP fundamentals
• 1 year experience with network traffic analysis tools (e.g., Wireshark, tcpdump)
• 2 years SIEM experience (e.g., Splunk, ArcSight, Kibana)
• 2 years network and threat analysis experience
• Splunk “Fundamentals I” course completion
• DoD 8570 CSSP Analyst baseline certification
• DoD 8570 IAT Level I or II
• CE certification
• 2 years maintaining or managing cloud environments (Azure, AWS)
• US citizenship and an active TS/SCI with Polygraph security clearance required

• Threat Detection and Response: Utilize EDR tools to monitor for suspicious activity, such as ransomware, and perform automated or manual actions to isolate threats. 
• Log Analysis and Monitoring: Review endpoint logs and security event to identify anomalous activity 
• Perform advanced manual threat hunting
• Conduct PCAP and packet-level analysis
• Perform network traffic, protocol, and netflow analysis
• Analyze malicious activity and identify exploited weaknesses
• Correlate enterprise security events for situational awareness
• Understand IDS/IPS tuning and Snort filters
• Identify Command and Control (C2) indicators
• Detect host- and network-based intrusions

• Four (4) years of demonstrated experience as a Cyber Defense Analyst in programs and contracts of similar scope, type, and complexity is required. A technical bachelor’s degree from an accredited college or university may be substituted for two (2) years of CDA experience.
• Must have strong ability to investigate, triage alerts, and think critically. 
• Must have strong Windows background 
• 1 year TCP/IP fundamentals
• 1 year experience with network traffic analysis tools (e.g., Wireshark, tcpdump)
• 2 years SIEM experience (e.g., Splunk, ArcSight, Kibana)
• 2 years network and threat analysis experience
• Splunk “Fundamentals I” course completion
• DoD 8570 CSSP Analyst baseline certification
• DoD 8570 IAT Level I or II
• CE certification
• 2 years maintaining or managing cloud environments (Azure, AWS)
• US citizenship and an active TS/SCI with Polygraph security clearance required

• Architect, build, and optimize secure, scalable, and automated data pipelines across structured and unstructured sources
• Design and maintain data models, warehouse schemas, and metadata structures to support analytics, reporting, and decision-making
• Lead development of ETL/ELT workflows using modern tools, frameworks, and cloud-based technologies
• Partner with Data Scientists and Software Engineers to prepare, cleanse, transform, and annotate data for use cases
• Design and implement advanced table structures, indexing strategies, and performance optimizations for large-scale datasets
• Evaluate and integrate third-party tools, APIs, and open-source libraries for text extraction, transformation, and automation
• Develop and enhance Python-based data extraction and processing utilities (PDF, MS Word, XML, logs, etc.)
• Create and maintain relational data structures and loading routines to support analytical workloads
• Produce real-time and ad-hoc dashboards, metrics, and operational reports to answer mission-critical questions
• Support and mature data governance and metadata cataloging
• Document data architectures, pipelines, infrastructure, and automation patterns
• Participate in Agile ceremonies and contribute to sprint planning, reviews, and technical prioritization
• Provide technical mentorship and knowledge-sharing to engineering teammates and mission stakeholders

• 5+ years of experience in data engineering, software engineering, or similar technical roles
• Proficiency in Python, including custom script development and leveraging external packages / APIs
• Experience extracting text and structured data from multiple formats (PDF, MS Word, XML, logs, JSON, etc.)
• Strong experience with SQL development, query optimization, and performance tuning (Oracle strongly preferred)
• Proven experience designing and implementing ETL/ELT pipelines and data workflows
• Hands-on experience with regular expressions, data parsing, cleansing, and transformation logic
• Experience designing and modifying data schemas, relational models, and ingestion patterns
• Familiarity with data warehousing, metadata management, and data modeling best practices
• Experience using version control systems (e.g., Git/GitHub)
• Ability to communicate complex data concepts to both technical and non-technical audiences
• US Citizenship and an active TS/SCI with Polygraph security clearance required

• Apply two or more core data science skill areas, including:
  • Mathematical, computational, and statistical foundations
  • Data processing, management, curation, visualization, and reproducible analytic workflows
  • Data modeling, inference, prediction, and domain-specific analysis
• Compile, integrate, and manage data from multiple sources using computer scripting, APIs, and analytic tools.
• Develop and apply statistical analyses, data models, and quantitative methods to explore, assess, and characterize large and complex datasets.
• Design and build rapid analytic prototypes to generate metrics and insights, including performance metrics for sensor or system data.
• Develop reproducible data analysis workflows using Python and common data science tools (e.g., Jupyter notebooks, Pandas).
• Interact with APIs and existing tools to retrieve, process, and analyze data; develop or extend tools as needed to support analytics.
• Translate mission or operational questions into technical and analytic requirements and corresponding analytic approaches.
• Evaluate data quality, structure, and limitations, and account for these factors in analytical methods and conclusions.
• Communicate complex analytical methods, results, and recommendations clearly to both technical and non-technical stakeholders.
• Assess and recommend analytic techniques, tools, and technical solutions based on evolving data collection, processing, storage, and analytics capabilities and constraints.
• Collaborate with multidisciplinary teams to support data-driven decision-making in mission environments.

• Bachelor’s degree in Mathematics, Statistics, Computer Science, Data Science, or a related quantitative discipline (or equivalent experience)
• Minimum of three (3) years of relevant data analysis or data science experience
• Experience with data compilation and integration from multiple sources using scripting and APIs
• Experience applying statistical analysis and data modeling techniques
• Proficiency in Python for data analysis, including use of Jupyter notebooks and Pandas
• Experience developing rapid analytic prototypes and performance metrics

• Apply advanced analytic methodologies to answer complex intelligence questions across GEOINT and multi-INT domains
• Develop, maintain, and manage structured and unstructured analytic datasets supporting intelligence production
• Design and implement machine learning and statistical models (e.g., regression, clustering, classification, time-series analysis) to support mission requirements
• Perform data preprocessing, feature engineering, and exploratory analysis to prepare datasets for advanced analytics
• Evaluate model performance, conduct error analysis, and communicate analytic results to both technical and non-technical stakeholders
• Operationalize analytic models into scalable, repeatable workflows and production pipelines
• Support GEOINT analysis using imagery, geospatial, and spatio-temporal datasets to identify trends, relationships, and mission-relevant events
• Conduct multi-INT research to augment imagery analysis and provide operational context
• Collaborate with cross-functional intelligence and engineering teams in support of enterprise-level analytic environments
• Identify capability gaps, system enhancements, and emerging technologies that improve mission delivery
• Provide technical and analytic leadership to teams solving complex intelligence problems

• Active TS/SCI clearance with the ability to obtain a CI Poly
• 5+ years of relevant experience (a combination of experience, certifications, and training may be considered)
• Demonstrated Intelligence Community experience supporting national security missions
• Expertise in advanced analytic methodologies and documented analytic tradecraft
• Experience in data mining, database manipulation, and maintaining analytic datasets
• Proficiency with Python and/or R and scientific computing libraries (e.g., NumPy, Pandas)
• Experience applying machine learning or statistical modeling techniques to mission datasets
• Understanding of modern data science best practices, including model governance, reproducibility, transparency, and lifecycle management
• Proven ability to communicate analytic findings clearly and effectively to diverse audiences
• Experience working in collaborative, mission-focused team environments

• Experience building and maintaining GEOINT, SIGINT, or OSINT datasets aligned to mission needs
• Experience supporting DoD and Intelligence Community reporting, briefings, and formal analytic products
• Proficiency with analytic and visualization tools such as Tableau, MATLAB, JEMA, MapLarge, Brewlytics, or similar
• Familiarity with FADE tools including MIST, INTELBOOK, LINX, and WATCH BOX
• Experience extracting, modeling, and visualizing multi-INT datasets for descriptive and predictive analysis
• Knowledge of Structured Observation Management tools and Object-Based Production methodologies
• Experience applying deep learning or computer vision techniques (e.g., CNNs, segmentation, object detection) to GEOINT data
• Familiarity with distributed analytics frameworks such as Spark, Dask, or Ray
• Experience with API-driven ingestion, ETL pipelines, or microservice-based analytic architectures
• Experience developing analytic dashboards or mission applications
• Familiarity with ICD 203 (Analytic Standards) and ICD 206
• Understanding of Transnational Criminal Organizations (TCOs), USSOUTHCOM AOR, and coca cultivation and production areas
• Ability to shape and frame analytic outputs to directly support operational planning and decision-making

• Provide optimization and automation across multiple platforms and applications.
• Drive consistency for deployment and build processes.
• Utilize modern tools like Jenkins, Docker, Kubernetes, Amazon Web Services, Ansible, Terraform, Python, Linux, and much more.
• You have worked with teams before on large and demonstrable projects (preferably built on with AWS and familiarity with scripting languages such as Bash, Ruby, Python).
• Familiarity with containerization tools like Docker and Kubernetes.
• You understand how to set up a CI/CD pipeline.
• You understand Agile software development and DevOps practices and can work closely with your peers other mid-to large size teams.
• Focus on understanding customers' needs and translating those needs from product specifications into functional, production ready code and infrastructure.
• You are self-driven, self-learner willing to share knowledge and participate actively in a team environment.

• Level 1-Seven (7), Level 2-Fourteen (14), and Level 3-Twenty (20) years experience as a SE in programs and contracts of similar scope, type and complexity is required. Demonstrated experience in planning and leading Systems Engineering efforts is required.
• Bachelor's degree in System Engineering, Computer Science, Information Systems, Engineering Science, Engineering Management, or related discipline from an accredited college or university is required.
• Five (5) years of additional SE experience may be substituted for a bachelor's degree.
• The following skills are required: AWS (S3, VPCs & Networking, EC2, ECS/EKS). Containerization (Docker, k8s, Registries). IaC (Terraform/Cloud Formation). CI/CD (Jenkins/ GitHub Actions).
• CWIP IAT Level I required.
• US citizenship and an active TS/SCI with Polygraph security clearance required

• 3+ years of relevant DevOps experience
• Experience managing Elastic Load Balancers (ELBs) and auto-scale groups with AWS EC2
• Experience setting up alarms, dashboards, and alerts with AWS CloudWatch
• Experience managing files and permissions in AWS S3
• Experience building Infrastructure as Code (IaC) with AWS CloudFormation using YAML templates
• Strong Linux troubleshoots skills
• Bash scripting experience
• Ability to set up, build, and maintain Jenkins CI/CD pipelines
• Experience using Ansible for server automation
• Strong knowledge of git and version control for IaC in GitHub
• Bachelor’s Degree or 5+ years of relevant experience in lieu of a degree
• US citizenship and an active TS/SCI with Polygraph security clearance required

• Setting up API Gateway and AWS Lambda functions
• Experience working with SQS and SNS
• Experience with setting up and managing Kubernetes infrastructure
• Experience with working with multiple teams
• Experience working in an Agile work environment on two-week sprints
• AWS Certified

• 5+ years of relevant DevOps experience
• Experience managing Elastic Load Balancers (ELBs) and auto-scale groups with AWS EC2
• Experience setting up alarms, dashboards, and alerts with AWS CloudWatch
• Experience managing files and permissions in AWS S3
• Experience building Infrastructure as Code (IaC) with AWS CloudFormation using YAML templates
• Strong Linux troubleshoots skills
• Bash scripting experience
• Ability to set up, build, and maintain Jenkins CI/CD pipelines
• Experience using Ansible for server automation
• Strong knowledge of git and version control for IaC in GitHub
• Bachelor’s Degree or 5+ years of relevant experience in lieu of a degree
• US citizenship and an active TS/SCI with Polygraph security clearance required

• Setting up API Gateway and AWS Lambda functions
• Experience working with SQS and SNS
• Experience with setting up and managing Kubernetes infrastructure
• Experience with working with multiple teams
• Experience working in an Agile work environment on two-week sprints
• AWS Certified