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Cyber Capability Developer Jobs in Kennesaw, GA (NOW HIRING)

Seeking following AFSC/MOSs US Army: 17D - Cyber Capability Developer 17C - Cyber Operations Specialist (Advanced Track) 35Q - Cryptologic Network Warfare Specialist 35N / 35P / 35S (Intel Analysts w ...

If an enemy seeks to steal information or sabotage capabilities, they'll be met with the swift mental combat of a Sailor like you. Cyber Warfare Engineers (CWE) are the highly-technical computer ...

Offensive Cyber Engineer

Atlanta, GA ยท On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We value the individual experiences that our team members add to our culture and capabilities ... Offensive Cyber Engineer As an Offensive Cyber Engineer, you'll dive deep into reverse engineering ...

Cyber Training Developer

Atlanta, GA ยท On-site +1

$86K - $198K/yr

  • Medical

  • Life

  • Retirement

  • PTO

... cyber training capabilities. Collaborate with military leadership, technical experts, and ... Train developers as part of a collaborative multidisciplinary team producing highly sophisticated ...

Offensive Cyber Engineer

Atlanta, GA

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We value the individual experiences that our team members add to our culture and capabilities ... Offensive Cyber Engineer As an Offensive Cyber Engineer, you'll dive deep into reverse engineering ...

Cyber Training Developer

Atlanta, GA ยท On-site

$86K - $198K/yr

  • Medical

  • Life

  • Retirement

  • PTO

... cyber training capabilities. Collaborate with military leadership, technical experts, and ... Train developers as part of a collaborative multidisciplinary team producing highly sophisticated ...

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Cyber Capability Developer information

See Kennesaw, GA salary details

$15

$48

$78

How much do cyber capability developer jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for cyber capability developer in Kennesaw, GA is $48.64, according to ZipRecruiter salary data. Most workers in this role earn between $39.09 and $55.96 per hour, depending on experience, location, and employer.

What is a cyber capability developer?

Cyber Capability Developers are professionals who design, build, and implement tools, systems, and solutions to enhance an organization's cybersecurity posture. They focus on developing both defensive and offensive cyber capabilities, often creating custom software, automating security tasks, and integrating advanced technologies to protect against cyber threats. Their work may include vulnerability assessments, penetration testing tools, and security automation frameworks. Cyber Capability Developers typically collaborate with security analysts, engineers, and IT teams to ensure robust cyber defense mechanisms.

What are the key skills and qualifications needed to thrive as a cyber capability developer?

To thrive as a Cyber Capability Developer, you need strong programming skills, a deep understanding of cybersecurity principles, and a relevant degree in computer science or a related field. Experience with security testing tools, operating systems (Windows, Linux), and certifications like CISSP or OSCP are typically valuable. Analytical thinking, problem-solving, and effective communication set outstanding candidates apart in this role. These skills are crucial for designing robust cyber defenses, identifying vulnerabilities, and collaborating with teams to protect organizational assets.

What are some common challenges faced by cyber capability developers when integrating new security solutions into existing systems?

Cyber Capability Developers often encounter challenges when integrating new security solutions, such as ensuring compatibility with legacy systems and minimizing disruptions to ongoing operations. Balancing robust security enhancements with system performance and user accessibility can be complex, requiring careful planning and cross-team collaboration. Additionally, staying updated with rapidly evolving cyber threats means developers must continuously adapt their solutions and coordinate closely with IT, network, and compliance teams to maintain effective protection.

What is the difference between Cyber Capability Developer vs Cyber Security Analyst?

AspectCyber Capability DeveloperCyber Security Analyst
Required CredentialsCertifications like CompTIA Security+, CISSP, CEH; relevant degrees in cybersecurity or computer scienceCertifications such as CompTIA Security+, GIAC, CISSP; degree in cybersecurity, IT, or related fields
Work EnvironmentDevelops and tests cybersecurity tools, software, and capabilities in labs or development settingsMonitors networks, investigates incidents, and implements security measures in operational environments
Employer & Industry UsageUsed by government agencies, defense contractors, and cybersecurity firms to build security solutionsCommonly employed by organizations to protect systems, detect threats, and respond to incidents

The Cyber Capability Developer focuses on creating and enhancing cybersecurity tools and capabilities, while the Cyber Security Analyst primarily monitors and defends existing systems. Both roles require similar certifications and often work within the same industry sectors, but their core responsibilities differ significantly.

What are popular job titles related to Cyber Capability Developer jobs in Kennesaw, GA?

For Cyber Capability Developer jobs in Kennesaw, GA, the most frequently searched job titles are:

What cities near Kennesaw, GA are hiring for Cyber Capability Developer jobs?

Cities near Kennesaw, GA with the most Cyber Capability Developer job openings:

Infographic showing various Cyber Capability Developer job openings in Kennesaw, GA as of August 2026, with employment types broken down into 86% Full Time, 11% Part Time, and 3% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $101,179 per year, or $48.6 per hour.

Machine Learning Engineer

Five and Fly

Atlanta, GA โ€ข On-site

Full-time

Re-posted 29 days ago


Job description

Machine Learning Engineer
Department: Machine Learning Engineer
Employment Type: Full Time
Location: Atlanta, GA
Description
We are seeking a skilled and forward-looking ML Engineer with experience in Large Language Models (LLMs), generative AI, and agentic architectures to join our growing R&D and Applied AI team. This role is critical in helping Oversight deliver the next generation of agentic AI systems for enterprise spend management and risk controls.
The ideal candidate has a strong foundation in machine learning, modern deep learning frameworks, and data pipelines, coupled with hands-on experience experimenting with LLMs, small language models (SLMs), multi-agent frameworks, and retrieval-augmented generation (RAG).
You will work closely with AI/ML researchers, data engineers, and product teams to design, implement, and optimize models that power autonomous exception resolution, anomaly detection, and explainable insights. This is a hands-on engineering role where you will not only build and scale ML systems but also actively contribute to cutting-edge applied research in agentic AI.
Key Responsibilities
  • Contribute to the design, training, fine-tuning, and deployment of ML/LLM models for production.
  • Implement RAG pipelines using vector databases.
  • Work with frameworks like LangChain, LangGraph, MCP to prototype and optimize multi-agent workflows.
  • Develop prompt engineering, optimization, and safety techniques for agentic LLM interactions.
  • Integrate memory, evidence packs, and explainability modules into agentic pipelines.
  • Work hands-on with multiple LLM ecosystems:
    • OpenAI GPT models (GPT-4, GPT-4o, fine-tuned GPTs).
    • Anthropic Claude (Claude 2/3 for reasoning and safety-aligned workflows).
    • Google Gemini (multimodal reasoning, advanced RAG integration).
    • Meta LLaMA (fine-tuned/custom models for domain-specific tasks).
  • Collaborate with Data Engineering to build and maintain real-time and batch data pipelines that serve ML/LLM workloads.
  • Conduct feature engineering, preprocessing, and embeddings generation for structured and unstructured data.
  • Implement model monitoring, drift detection, and retraining pipelines.
  • Leverage cloud ML platforms (AWS Sagemaker, Databricks ML) for experimentation and scaling.
  • Explore and evaluate emerging LLM/SLM architectures and agent orchestration patterns.
  • Experiment with generative AI and multimodal models to extend capabilities beyond text (images, structured financial data).
  • Collaborate with R&D to prototype autonomous resolution agents, anomaly detection models, and reasoning engines.
  • Translate research prototypes into production-ready components.
  • Work cross-functionally with R&D, Data Science, Product, and Engineering to deliver business-aligned AI features.
  • Participate in design reviews, architecture discussions, and model evaluations.
  • Document processes, experiments, and results effectively for knowledge sharing.
  • Mentor junior engineers and contribute to ML engineering best practices.

Skills, Knowledge and Expertise
Required
  • Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or related field.
  • 3+ years of experience building and deploying ML systems.
  • Proficiency in Python and libraries such as PyTorch, TensorFlow, Scikit-Learn, Hugging Face Transformers.
  • Hands-on experience with LLMs/SLMs (fine-tuning, prompt design, inference optimization).
  • Demonstrated experience with at least two of the following ecosystems:
    1. OpenAI GPT models (chat, assistants, fine-tuning).
    2. Anthropic Claude (safety-first AI for reasoning and summarization).
    3. Google Gemini (multimodal reasoning, enterprise-scale APIs).
    4. Meta LLaMA (open-source, fine-tuned models).
  • Familiarity with vector databases, embeddings, and RAG pipelines.
  • Ability to work with structured and unstructured data at scale.
  • Knowledge of SQL and distributed data frameworks (Spark, Ray).
  • Strong understanding of ML lifecycle: data prep, training, evaluation, deployment, monitoring.
  • Experience with agentic frameworks (LangChain, LangGraph, MCP, AutoGen).
  • Knowledge of AI safety, guardrails, and explainability techniques.
  • Hands-on experience deploying ML/LLM solutions in cloud environments (AWS, GCP, Azure).
  • Experience with CI/CD for ML (MLOps), monitoring, and observability.
  • Familiarity with anomaly detection, fraud/risk modeling, or behavioral analytics.
  • Contributions to open-source AI/ML projects or publications in applied ML research.

Seeking following AFSC/MOSs
US Army:17D - Cyber Capability Developer
17C - Cyber Operations Specialist (Advanced Track)
35Q - Cryptologic Network Warfare Specialist
35N / 35P / 35S (Intel Analysts w/ coding exposure)
US AirForce:17X - Cyberspace Warfare Operations
1B4X1 - Cyber Warfare Operations
9S100 - Scientific Applications Specialist
3D0X4 / 1D7X1 (Software / Data Ops variants)
US Navy:CTN - Cryptologic Technician (Networks)CTI / CTR (with analytics focus)Information Warfare Officers (1810)
US Marine Corps:1721 - Cyberspace Warfare Operator26XX Intel (with data/automation focus)
US Space Force:Cyber Operations (DCO/OCO) Guardians