ZipRecruiter

Log In

1

Devsecops Jobs in Phoenix, AZ (NOW HIRING)

Birdi

Security Engineer

Paradise Valley, AZ · On-site

Exposure to cloud security, DevSecOps, compliance, risk management, and healthcare cybersecurity initiatives. * Ability to make a meaningful impact by protecting critical systems, applications, and ...

Sarian, Inc.

Cloud Architect

Phoenix, AZ · On-site

$63.25 - $80.50/hr

... DevSecOps processes, establishing principles, and implementing robust methodologies across teams or entire programs. • Expert knowledge of modern data stack in particular Google Cloud Storage (GCS ...

IntraEdge

Engineer II

Phoenix, AZ · On-site

$55.75 - $74.50/hr

Source Control Management (SCM) including Git & GitHub workflows, and the value of DevOps & DevSecOps * Experience with DevOps tools (e.g., GitHub Actions, Jenkins) for continuous integration and ...

Inherent Technologies

Azure Databricks Architect

Chandler, AZ · Remote

$65 - $84.75/hr

... DevSecOps / DataOps Methods preferred Should be able to drive the technology design meetings, propose technology design and architecture Demonstrate breadth of experience in various client scenarios ...

previous page

Showing results 41-60

All JobsDevsecops JobsDevsecops Jobs in Phoenix, AZ

Devsecops information

See Phoenix, AZ salary details

$32.3K

$81.8K

$122.6K

How much do devsecops jobs pay per year?

As of Aug 10, 2026, the average yearly pay for devsecops in Phoenix, AZ is $81,831.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,000.00 and $96,800.00 per year, depending on experience, location, and employer.

Is DevSecOps still a thing?

Yes, DevSecOps remains a vital approach in cybersecurity and software development, integrating security practices into the DevOps process. It is widely adopted across industries to improve security automation, continuous integration, and deployment pipelines, often requiring knowledge of tools like Jenkins, Docker, and security frameworks.

What is a DevSecOps?

A DevSecOps job focuses on integrating security into the software development and operations process. Professionals in this role work to automate security measures, ensure compliance, and identify vulnerabilities throughout the development lifecycle. They collaborate with development, operations, and security teams to embed security best practices into CI/CD pipelines. The goal is to create secure software efficiently without slowing down development and deployment.

What are the key skills and qualifications needed to thrive in the DevSecOps position?

To thrive as a DevSecOps professional, you need expertise in secure software development, CI/CD pipelines, cloud infrastructure, automation, and strong knowledge of cybersecurity principles, often supported by a degree in computer science or a related field. Familiarity with tools such as Jenkins, Docker, Kubernetes, Terraform, and security certifications like CISSP or AWS Certified Security are typically required. Strong problem-solving abilities, effective communication, and a collaborative mindset are valuable soft skills. These are essential to ensuring security is integrated throughout the development lifecycle while enabling efficient deployment and cross-team collaboration.

What are some common challenges DevSecOps professionals face on the job?

DevSecOps professionals often navigate the challenge of balancing rapid development cycles with the need for robust security, which requires both technical adaptability and continuous vigilance. They may encounter resistance to adopting new security practices within development teams, making communication and advocacy skills crucial. Additionally, staying updated with evolving security threats and ensuring compliance with industry standards can be demanding. These challenges offer opportunities to make a significant impact on organizational security and to develop expertise in both security and automation, leading to diverse career advancement possibilities.

What are the most commonly searched types of Devsecops jobs in Phoenix, AZ? The most popular types of Devsecops jobs in Phoenix, AZ are:
What are popular job titles related to Devsecops jobs in Phoenix, AZ? For Devsecops jobs in Phoenix, AZ, the most frequently searched job titles are:
What job categories do people searching Devsecops jobs in Phoenix, AZ look for? The top searched job categories for Devsecops jobs in Phoenix, AZ are:
What cities near Phoenix, AZ are hiring for Devsecops jobs? Cities near Phoenix, AZ with the most Devsecops job openings:
Devsecops jobs near you
Infographic showing various Devsecops job openings in Phoenix, AZ as of August 2026, with employment types broken down into 88% Full Time, 5% Part Time, and 7% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $81,831 per year, or $39.3 per hour.

Senior Machine Learning Engineer

Prime Solutions Group, Inc.

Goodyear, AZ • On-site

$110K/yr

Full-time

Re-posted 27 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