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Devsecops Remote Jobs in Ohio (NOW HIRING)

Rackner

AI/ML Engineer (Active TS/SCI )

Dayton, OH · On-site +1

Familiarity with DevSecOps practices * Experience working with large-scale or federal datasets * Understanding of MLOps principles and pipelines Benefits & Perks * Weekly pay with full remote ...

Booz Allen Hamilton, Inc.

Software Architect, Lead

Dayton, OH · On-site +1

$112K - $257K/yr

Remote Work: No Job Number: R0246897 Location: Dayton,OH,US Share job via: Share Software Architect ... Experience with DevSecOps, observability, and infrastructure as code * Experience with AI-augmented ...

Booz Allen Hamilton, Inc.

$69K - $158K/yr

Remote Work: No Job Number: R0242557 Location: Wright Patterson AFB,OH,US Share job via: Share ... Experience with integration and deploying container services through a DevSecOps pipeline

GRVTY

Software Engineer, Senior

Dayton, OH · On-site +1

$119K - $157K/yr

Background in signal processing, image processing, or remote sensing data workflows. * Experience ... Experience with CI/CD practices, automated testing, and DevSecOps tooling.

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Devsecops Remote information

What is a DevSecOps remote role?

A DevSecOps remote role involves integrating security practices into the DevOps workflow while working from a remote location. Professionals in this position collaborate with development, operations, and security teams to automate and monitor security at every stage of the software development lifecycle, often using cloud-based tools and platforms. Remote DevSecOps engineers ensure that code and infrastructure are secure, compliant, and resilient against threats, all while leveraging remote communication and collaboration tools. This role typically requires a strong background in cloud security, CI/CD pipelines, and scripting or automation. It allows organizations to access global talent and promote flexible work arrangements without compromising security.

What are the key skills and qualifications needed to thrive as a DevSecOps professional in a remote role?

To thrive as a DevSecOps professional, you need a solid understanding of software development, IT operations, and cybersecurity principles, often supported by experience with CI/CD pipelines and cloud platforms. Familiarity with tools like Jenkins, Docker, Kubernetes, Terraform, and security scanning solutions, as well as certifications such as AWS Certified Security or Certified DevSecOps Professional, are commonly required. Strong problem-solving, collaboration, and proactive communication skills are essential for navigating remote teamwork and addressing security concerns promptly. These skills are critical to ensure robust, secure, and efficient software delivery in distributed environments.

What are some common challenges faced by remote DevSecOps professionals, and how can they be addressed?

Remote DevSecOps professionals often encounter challenges related to communication and collaboration across distributed teams, especially when coordinating security practices within fast-paced DevOps pipelines. Managing secure access to infrastructure and ensuring consistent application of security policies can also be more complex in a remote setting. To address these challenges, it's important to leverage robust collaboration tools, establish clear documentation and processes, and prioritize regular virtual check-ins with team members. Additionally, automated security testing and centralized monitoring tools can help maintain visibility and consistency across environments.

What is the difference between Devsecops Remote vs Devops Remote?

AspectDevsecops RemoteDevops Remote
Required credentialsCertifications like CISSP, AWS Security, DevSecOps certificationsCertifications like AWS, Azure, Docker, Kubernetes
Work environmentRemote, collaborative teams focusing on security integrationRemote, agile teams focusing on deployment and infrastructure
Employer usageTech companies, cybersecurity firms, organizations prioritizing securityTech companies, startups, organizations emphasizing continuous deployment

Devsecops Remote and Devops Remote share similarities in remote work settings and industry usage. However, Devsecops Remote emphasizes security integration within development and operations, requiring specific security certifications, whereas Devops Remote focuses on deployment, automation, and infrastructure skills. Both roles are vital in modern tech environments but serve different core functions.

What are the most commonly searched types of Devsecops jobs in Ohio?

The most popular types of Devsecops jobs in Ohio are:

What are popular job titles related to Devsecops Remote jobs in Ohio?

For Devsecops Remote jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Devsecops Remote jobs in Ohio look for?

The top searched job categories for Devsecops Remote jobs in Ohio are:

What cities in Ohio are hiring for Devsecops Remote jobs?

Cities in Ohio with the most Devsecops Remote job openings:

Devsecops Remote jobs near you
Infographic showing various Devsecops Remote job openings in Ohio as of August 2026, with employment types broken down into 89% Full Time, 2% Part Time, and 9% Contract. Highlights an 77% Physical, 8% Hybrid, and 15% Remote job distribution.

AI/ML Engineer (Active TS/SCI )

Rackner

Dayton, OH • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 29 days ago

Job description

Job Title: AI/ML Engineer

Location: Dayton, OH 
Employment Type: Full-Time

Clearance requirements: TS/SCI

About the Role

Rackner is seeking a highly skilled AI/ML Engineer to design, develop, and deploy advanced machine learning solutions that support mission-critical systems. This role will focus on building scalable models, developing training pipelines, and collaborating with cross-functional teams to deliver impactful AI-driven solutions.

Key Responsibilities

  • Design, develop, and implement machine learning and deep learning models
  • Build and optimize model architectures including CNNs, RNNs, and transformer-based models
  • Develop and deploy Large Language Models (LLMs) and object detection systems (e.g., YOLO, Faster R-CNN)
  • Perform feature engineering and prepare high-quality datasets for training and evaluation
  • Create and maintain AI/ML training runbooks and documentation
  • Collaborate with data engineers and software teams to integrate models into production systems
  • Ensure reproducibility through data versioning and metadata standards
  • Continuously evaluate and improve model performance and scalability

Required Qualifications

  • Strong proficiency in designing and implementing model architectures, including:
    • Convolutional Neural Networks (CNNs)
    • Recurrent Neural Networks (RNNs)
    • Transformer-based architectures
    • Large Language Models (LLMs)
    • Object Detection models (e.g., YOLO, Faster R-CNN)
  • Hands-on experience with:
    • PyTorch and/or TensorFlow
    • Hugging Face, Ollama, or similar frameworks
  • Experience with data engineering concepts, including:
    • Feature engineering and dataset preparation
    • Data versioning tools (e.g., lakeFS)
    • Metadata standards such as STAC
  • Ability to create clear and effective AI/ML training runbooks
  • Strong problem-solving skills and ability to work in a collaborative environment

Preferred Qualifications

  • Experience deploying models in cloud-native environments
  • Familiarity with DevSecOps practices
  • Experience working with large-scale or federal datasets
  • Understanding of MLOps principles and pipelines

Benefits & Perks

  • Weekly pay with full remote flexibility
  • Professional growth investment, including paid certifications and training
  • Comprehensive benefits package, including:
    • Medical, dental, and vision coverage
    • 401(k) with 100% company match up to 6%
    • Paid time off (PTO)
    • Life and disability insurance
    • Home office equipment plan
  • A supportive, inclusive team culture focused on collaboration, trust, and mission impact

About Rackner

Rackner is a cloud-native software consultancy delivering solutions for startups, enterprises, and the public sector.

We enable digital transformation through DevSecOps, AI/ML, and cloud-first innovation.

Our teams solve high-impact problems that advance federal missions and strengthen national readiness.

Join us to help shape the future of secure, scalable data systems supporting mission success.

Apply