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Devsecops Jobs in Wisconsin (NOW HIRING)

Gehc

Senior Manager - Software Engineering

Waukesha, WI · On-site

Hands-on experience with modern development ecosystems, including integrated build systems, CI/CD pipelines, and DevSecOps practices. * Demonstrated ability to leverage GenAI technologies as a force ...

Groundworks Operations, LLC

WI · On-site

$155 - $195/hr

Drive adoption of modern software engineering practices including modular architecture, API-first design, cloud-native development, automated testing, CI/CD, DevSecOps, and observability. Ensure ...

New

Deloitte

Cyber Data Protection/PKI Manager

Milwaukee, WI

$109K - $147K/yr

Experience with DevSecOps integration, CI/CD pipeline enablement, and API-driven automation * Working knowledge of Python, PowerShell, Bash, REST APIs, or infrastructure automation patterns

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Devsecops information

See Wisconsin salary details

$32.8K

$83.2K

$124.7K

How much do devsecops jobs pay per year?

As of Aug 10, 2026, the average yearly pay for devsecops in Wisconsin is $83,186.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,100.00 and $98,400.00 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 popular job titles related to Devsecops jobs in Wisconsin? For Devsecops jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Devsecops jobs in Wisconsin look for? The top searched job categories for Devsecops jobs in Wisconsin are:
Devsecops jobs near you
Infographic showing various Devsecops job openings in Wisconsin as of August 2026, with employment types broken down into 89% Full Time, 3% Part Time, and 8% Contract. Highlights an 78% Physical, 7% Hybrid, and 15% Remote job distribution, with an average salary of $83,186 per year, or $40 per hour.

Senior DevOps Analyst

Madison Gas and Electric Company

Madison, WI • On-site

$131K - $168K/yr

Full-time

Re-posted 2 days ago

Job description

Position Purpose
The Senior DevOps Analyst is responsible for leading the strategy, implementation, and continuous improvement of the organization's DevOps platforms, infrastructure, leveraging AI functionality to increase productivity, and engineering toolsets. This role owns the DevOps roadmap, partnering with leadership to prioritize initiatives, evaluate emerging technologies, and drive adoption of modern software delivery practices across the enterprise.
Working closely with IT and business teams, this position designs and implements secure, scalable solutions including CI/CD pipelines, source control platforms, infrastructure automation, deployment orchestration, and developer tooling. The role helps teams automate processes, improve delivery efficiency, and adopt DevOps best practices.
A strong focus on security is essential, ensuring DevOps platforms, processes, and automation solutions align with enterprise security standards and secure-by-design principles. The role also contributes to governance and SDLC practices for emerging technologies, including AI-assisted development and AI-enabled solutions.
Core Responsibilities
Note: This is not an all-inclusive listing.
  • DevOps strategy and roadmap: Lead DevOps best practices, maintain the DevOps roadmap, and help development teams mature their use of modern development tools and processes.
  • Azure DevOps and GitHub enablement: Support and maintain Azure DevOps tools, automations, pipelines, and related processes. Help development groups establish repositories, adopt GitHub, and improve their development workflows.
  • CI/CD and automation: Design, implement, and maintain CI/CD pipelines that enable reliable application deployment. Identify opportunities to automate development, testing, deployment, and operational processes.
  • AI and emerging technology adoption: Evaluate and integrate emerging technologies in AI, automation, and DevOps to improve system capabilities and developer productivity. Partner with product and development teams to responsibly leverage AI functionality in development processes and production systems.
  • AI agent platform, SDLC, and governance: Help establish and lead the lifecycle for AI agents, including platform ownership, SDLC practices, standards, security, compliance, and governance for users developing and deploying AI agents.
  • Observability and operational reliability: Ensure systems are supported by appropriate logging, monitoring, and alerting practices, including solutions tailored to AI-enabled and distributed systems.
Behavioral Competencies
(Note: These are in addition to MGE's Core Competencies)
  • Manages Complexity - Navigates sophisticated technical environments and ambiguous AI challenges effectively.
  • Drives Results - Consistently delivers high-quality, scalable solutions in fast-paced environments.
  • Collaborates - Builds strong partnerships across engineering, data science, and business teams.
  • Instills Trust - Gains credibility through technical expertise and reliable execution.
  • Strategic Mindset - Anticipates future AI/technology trends and aligns solutions with long-term objectives.
Skills
  • Advanced proficiency in cloud platforms (Azure)
  • Strong experience with CI/CD tools (Azure Pipelines, GitHub Actions, etc.)
  • Experience with AI-assisted development tooling (GitHub Copilot)
  • Experience with AI frameworks (Copilot Studio)
  • Knowledge of LLMs, agent frameworks, and prompt orchestration
  • Proficiency in infrastructure as code (Terraform)
  • Strong scripting/programming skills (PowerShell, Python, etc.)
  • Advanced knowledge in DevSecOps and implementing secure SDLC practices and tools (GitHub Advanced Security, SonarQube, etc.)
Education
  • Bachelor's degree in Computer Science, Engineering, Information Technology, or related field required
  • Relevant certifications preferred (e.g., Microsoft Certified DevOps Engineer Expert, AI/ML certifications)
Experience
  • 7+ years of experience in DevOps
  • 2+ years of experience supporting AI systems in production environments
  • Demonstrated experience with agent-based systems, LLM deployment, or advanced automation frameworks preferred

Work Location
  • This hybrid role is based at our Madison, WI headquarters. While three days onsite is the minimum, team collaboration and business needs may require additional in-office presence.

Pre-employment will require satisfactory completion of a background check and drug screen.
We are an AA/EOE employer and consider all qualified candidates without regard to protected status.

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