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Junior Devsecops Engineer Jobs in Arizona (NOW HIRING)

Leidos

Mid-Level Software Engineer

Tucson, AZ · On-site

$87K - $157K/yr

Support DevSecOps pipelines and ensure code meets security and accreditation standards. * Participate in code reviews and mentor junior developers as needed. * Resolve various tasks as prioritized by ...

Leidos

Mid-Level Software Engineer

Tucson, AZ

Support DevSecOps pipelines and ensure code meets security and accreditation standards. * Participate in code reviews and mentor junior developers as needed. * Resolve various tasks as prioritized by ...

Agama Solutions

Azure Cloud Engineer

Chandler, AZ · On-site

$80 - $95/hr

... devsecops, agile, including supporting and/or using tools · 6+ years of experience working with ... Ability to mentor and develop junior team members. * Excellent problem-solving and analytical ...

Boeing

Sr. DevOps Full-Stack Software Engineer

Mesa, AZ · On-site

... DevSecOps operations across multiple environments * Monitor and maintain software development environments and tools * Participate in peer reviews and provide technical leadership to junior engineers

Breakthru

Senior IT Security Engineer

Phoenix, AZ · On-site

$105K - $143K/yr

... DevSecOps and SSDLC, etc.). * Monitoring and managing enterprise security systems, cloud ... May help coordinate the work of junior members of the team. * Resolves issues which are often ...

Deloitte

CyberArk Senior Consultant

Gilbert, AZ

Experience mentoring junior or mid-level developers, leading code reviews, and providing ... Familiarity with DevOps or DevSecOps practices. * Knowledge of web security, GitOps, and Kubernetes ...

Breakthru

Senior IT Security Engineer

Phoenix, AZ · Hybrid

$92K - $120K/yr

... DevSecOps and SSDLC, etc.). * Monitoring and managing enterprise security systems, cloud ... May help coordinate the work of junior members of the team. * Resolves issues which are often ...

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Junior Devsecops Engineer information

What is a Junior DevSecOps Engineer?

A Junior DevSecOps Engineer is an entry-level professional who helps integrate security practices into the software development and operations (DevOps) process. They work alongside developers, IT operations, and security teams to ensure that applications are designed, developed, and deployed securely. Their responsibilities often include automating security checks, monitoring systems for vulnerabilities, and responding to security incidents under the guidance of senior team members. This role is ideal for those with foundational knowledge in IT, security, or development who are looking to grow their skills in the rapidly evolving field of DevSecOps.

What are some common challenges faced by Junior DevSecOps Engineers when integrating security into the CI/CD pipeline?

Junior DevSecOps Engineers often encounter challenges such as balancing security requirements with the fast pace of development, identifying and remediating vulnerabilities early in the deployment process, and ensuring automated security checks do not disrupt workflow efficiency. Collaborating closely with developers and operations teams is essential to foster a culture of shared responsibility for security. Gaining familiarity with a variety of security tools and cloud environments is also crucial, as the landscape is continuously evolving and requires ongoing learning.

What are the key skills and qualifications needed to thrive as a Junior DevSecOps Engineer, and why are they important?

To thrive as a Junior DevSecOps Engineer, you need a foundational understanding of software development, IT operations, cybersecurity principles, and a relevant degree or certification in computer science or information security. Familiarity with CI/CD tools like Jenkins, containerization platforms such as Docker and Kubernetes, and security scanning tools like Snyk or SonarQube is typically required. Strong problem-solving abilities, attention to detail, and effective collaboration skills help set candidates apart in this role. These skills ensure secure, efficient software delivery and foster a culture of proactive security within development teams.

What is the difference between Junior Devsecops Engineer vs Junior Security Engineer?

AspectJunior Devsecops EngineerJunior Security Engineer
CertificationsCompTIA Security+, AWS Certified Security, or similarCompTIA Security+, CISSP (entry-level), CEH
Work EnvironmentCollaborates with development, operations, and security teams in CI/CD pipelinesFocuses on security assessments, monitoring, and incident response
Industry UsageUsed in DevOps-focused organizations integrating security into developmentCommon in cybersecurity teams across various industries

While both roles require security knowledge and certifications, the Junior Devsecops Engineer emphasizes integrating security into development and deployment processes, whereas the Junior Security Engineer focuses on security monitoring, assessments, and incident handling. The Devsecops role is more aligned with DevOps practices, making it suitable for organizations adopting continuous integration and delivery.

What are the most commonly searched types of Devsecops Engineer jobs in Arizona? The most popular types of Devsecops Engineer jobs in Arizona are:
What are popular job titles related to Junior Devsecops Engineer jobs in Arizona? For Junior Devsecops Engineer jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Junior Devsecops Engineer jobs in Arizona look for? The top searched job categories for Junior Devsecops Engineer jobs in Arizona are:
What cities in Arizona are hiring for Junior Devsecops Engineer jobs? Cities in Arizona with the most Junior Devsecops Engineer job openings:
Junior Devsecops Engineer jobs near you
Infographic showing various Junior Devsecops Engineer job openings in Arizona as of July 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Hybrid job distribution.
Senior Machine Learning Engineer

Senior Machine Learning Engineer

Prime Solutions Group, Inc.

Goodyear, AZ • On-site

$110K/yr

Full-time

Posted 12 days ago

Job description

Job Type
Full-time
Description
Prime Solutions Group (PSG), Inc. is an innovative digital engineering company founded in 2007 and headquartered in Goodyear, AZ. We specialize in advanced sensing, AI/ML, and digital engineering solutions, partnering with many of the nation's leading defense companies to deliver mission-critical technology.
Our work spans the full system lifecycle-from R&D to operational deployment-supporting the Department of Defense, Intelligence Community, and federal partners. At PSG, you'll join a small, agile team where your contributions have a direct impact while working alongside top-tier engineering talent.
Position Overview
Turn machine learning into real-world mission capability.
PSG is seeking a Machine Learning Engineer to design, build, and deploy AI/ML solutions that power mission-critical systems. This role focuses on taking models from concept to production-developing pipelines, integrating models into software systems, and ensuring performance, scalability, and reliability in real-world environments.
You'll work at the intersection of machine learning, software engineering, and DevSecOps, collaborating with cross-functional teams to deliver secure, production-ready AI solutions supporting national security missions.
What You'll Do
  • Design, build, and maintain ML pipelines for data preparation, training, evaluation, and deployment
  • Develop and optimize ML models and applications using Python and frameworks like PyTorch or TensorFlow
  • Integrate models into production systems (APIs, batch pipelines, real-time services)
  • Implement model validation, evaluation metrics, and performance monitoring
  • Improve model accuracy, scalability, and efficiency through tuning and data strategy improvements
  • Collaborate with data engineers and domain experts to prepare and validate datasets
  • Partner with DevSecOps/MLOps teams to deploy ML solutions in secure environments
  • Troubleshoot model and pipeline issues; perform root cause analysis and optimization
  • Contribute to technical documentation, test plans, and operational runbooks
  • Participate in design reviews, architecture discussions, and Agile development processes
  • Mentor junior engineers and promote engineering best practices

Requirements
  • U.S. Citizenship
  • Active Top Secret Clearance (SCI eligibility; CI Poly preferred or ability to obtain)
  • Bachelor's degree in Computer Science, Engineering, Data Science, or related field
  • 4+ years of experience in:
    • Machine Learning Engineering
    • Applied AI/ML development
    • Production ML systems
  • Strong Python skills and experience with ML libraries (NumPy, pandas, scikit-learn, PyTorch, TensorFlow)
  • Experience developing, training, and deploying ML models in real-world applications
  • Solid understanding of the ML lifecycle (data ? training ? validation ? deployment ? monitoring)
  • Experience building maintainable, production-quality software
  • Familiarity with Docker and cloud environments (AWS, Azure, or GCP)
  • Experience working in Agile and CI/CD environments
  • Strong problem-solving, communication, and collaboration skills

Preferred Qualifications
  • Master's degree in a related field
  • Experience with computer vision, image/video analytics, or sensor data (e.g., RF, SAR)
  • Experience transitioning models from research to production environments
  • Familiarity with experiment tracking, model versioning, and reproducibility practices
  • Experience with GPU-based ML workflows and cloud ML platforms
  • Background in defense, intelligence, or other regulated environments

Why Join PSG?
At PSG, you're not just taking a job-you're building technology that matters.
  • Competitive compensation & benefits
  • 9/80 flexible work schedule
  • Professional development & tuition assistance
  • Small, agile team with high ownership and visibility
  • Work on mission-critical systems supporting national security
  • Opportunities to grow across AI/ML, software engineering, and platform development

Bring your machine learning expertise to PSG and help deliver the next generation of secure, intelligent, mission-driven systems.
Salary Description
Salary range starts at $110,000 with the potential for higher compensation based on experience, skills, and mission needs.

Apply