ZipRecruiter

Log In

1

Devsecops Engineer Jobs in Michigan (NOW HIRING)

FastTek

Senior Cloud Database Engineer

Dearborn, MI

$97K - $132K/yr

DevSecOps: Enable secure CI/CD pipelines for database code and configurations. * Database ... Advise engineering, data, and AI teams on best practices. * Culture & Mentorship: Foster an AI ...

Quantam

Senior Application Security Engineer

Lansing, MI · On-site

$59.50 - $79.50/hr

Support secure application development and security automation/DevSecOps practices. Required Skills ... Skills: innovation,programming languages,java,leadership,c sharp (programming language),analysis ...

Bright Mind Solutions LLC

API Engineer

Detroit, MI · On-site

$60 - $65/hr

Strong understanding of DevSecOps and security practices. * Cloud architectural knowledge with a global perspective. * Project Type: * Implementation, enhancement, upgrade, migration, and production ...

FastTek

Back-end Software Engineer

Dearborn, MI

Back-end Software Engineer #1063322 Position Description: Employees in this job function develop ... DevSecOps development (not just using pipelines), GitHub Actions, Cloud security, IAM, GCP ...

Barbaricum

Senior Software Architect

Warren, MI · On-site

$121K - $165K/yr

... Engineering or Information Technology with 7-10 years of experience. * Expertise in software architecture, UAF, SysML, or UML modeling. * Proficiency in DevSecOps and ground vehicle cybersecurity ...

Deloitte

DevOps Engineer III

Detroit, MI · On-site

$52.25 - $71.50/hr

Preferred: * 4+ years of experience supporting DevSecOps practices, including security scanning and ... Engineer III Build and scale modern DevOps capabilities that help clients accelerate delivery ...

previous page

Showing results 41-60

All JobsDevsecops Engineer JobsDevsecops Engineer Jobs in Michigan

Devsecops Engineer information

See Michigan salary details

$34K

$88.7K

$119.8K

How much do devsecops engineer jobs pay per year?

As of Sep 14, 2026, the average yearly pay for devsecops engineer in Michigan is $88,687.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,200.00 and $101,500.00 per year, depending on experience, location, and employer.

What is a DevSecOps engineer?

A DevSecOps Engineer is a professional who integrates security practices into the DevOps process, ensuring that security is incorporated throughout the software development lifecycle. They work to automate security checks, collaborate with development and operations teams, and implement tools that detect and prevent vulnerabilities early. Their goal is to enhance both the speed and security of software delivery. DevSecOps Engineers typically have skills in coding, automation, security tools, and cloud technologies. They play a crucial role in building secure, reliable, and efficient systems.

How does a DevSecOps engineer typically collaborate with development and security teams to integrate security into the software delivery pipeline?

A DevSecOps Engineer works closely with both development and security teams to ensure security is embedded at every stage of the software development lifecycle. This often involves conducting threat modeling sessions, automating security testing tools within CI/CD pipelines, and providing actionable feedback to developers on vulnerabilities. The role requires frequent communication, shared documentation, and cross-functional meetings to align security policies with agile development processes. By fostering a culture of shared responsibility, DevSecOps Engineers help teams deliver secure software efficiently.

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

To thrive as a DevSecOps Engineer, you need a solid background in software development, cybersecurity principles, automation, and experience with CI/CD pipelines, often supported by a degree in computer science or a related field. Familiarity with tools like Jenkins, Docker, Kubernetes, Terraform, and security frameworks, as well as certifications such as AWS Certified Security or Certified DevSecOps Professional, is highly beneficial. Strong problem-solving skills, effective communication, and a proactive mindset help you collaborate across development, operations, and security teams. These skills and qualities are crucial for integrating robust security measures throughout the software lifecycle while enabling rapid and reliable delivery.

What is the difference between Devsecops Engineer vs Security Engineer?

AspectDevsecops EngineerSecurity Engineer
CertificationsCertified DevSecOps Professional, CISSP, CompTIA Security+CISSP, CEH, CompTIA Security+
Work EnvironmentDevOps teams, cloud platforms, CI/CD pipelinesSecurity teams, incident response, security tools
Industry UsageSoftware development, IT operations, cloud servicesCybersecurity, risk management, compliance

While both roles focus on security, a Devsecops Engineer integrates security into development and operations processes, emphasizing automation and continuous security. A Security Engineer primarily focuses on protecting systems through security measures, monitoring, and incident response. The roles often overlap but differ in scope and daily tasks.

Are DevSecOps engineers in demand?

DevSecOps engineers are in high demand due to the increasing emphasis on integrating security into development and operations. Organizations seek professionals skilled in automation, cloud platforms, and security tools to improve software security and compliance, making this a growing and competitive field.

Is a Devsecops engineer a good career?

A Devsecops engineer is a valuable role that combines development, security, and operations skills to improve software security and deployment processes. It is a growing field with high demand for professionals skilled in cloud platforms, automation tools, and security best practices, often offering competitive salaries and career advancement opportunities.

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

The most popular types of Devsecops Engineer jobs in Michigan are:

What are popular job titles related to Devsecops Engineer jobs in Michigan?

For Devsecops Engineer jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Devsecops Engineer jobs in Michigan look for?

The top searched job categories for Devsecops Engineer jobs in Michigan are:

Devsecops Engineer jobs near you
Infographic showing various Devsecops Engineer job openings in Michigan as of September 2026, with employment types broken down into 1% Internship, 87% Full Time, 6% Part Time, and 6% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $88,687 per year, or $42.6 per hour.

Senior Cloud Database Engineer

Dearborn, MI

FastTek
IT Services • 501 - 1,000 employees
Learn more about FastTekexternal

$97K - $132K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 27 days ago

Job description

Senior Cloud Database Engineer #1059226
Job Description:
  • We are seeking a Senior Cloud Database Engineer with 5+ years of experience to join our Platform Engineering team.
  • This role focuses on defining strategy, architecture, and standardized "golden paths" for cloud databases and the AI journey on Google Cloud Platform (GCP).
  • This position extends beyond traditional database administration.
  • You will act as a technical leader and pattern owner, shaping the vision and roadmap for our database platform.
  • A key focus is embedding AI/GenAI capabilities (e.g., Gemini Enterprise, Model Context Protocol, Dataplex, and Knowledge Catalog) into how engineering teams design, build, secure, and operate intelligent data systems at scale.
 
Key Responsibilities:
  • AI-Driven Database Innovation GenAI Productivity: Lead adoption of Gemini Enterprise for tasks such as query generation, debugging, and schema optimization.
  • Contextual AI Patterns: Define patterns for integrating Model Context Protocol (MCP) with databases for contextual AI interactions.
  • Intelligent Automation: Identify and implement AI-driven automation across the lifecycle, including capacity planning, anomaly detection, and self-tuning.
  • AI/ML Collaboration: Partner with AI/ML teams to embed ML, statistical models, and GenAI into data platform strategies.
  • Agent Development: Build intelligent agents on database AI frameworks to deliver business value, improve fault detection, and reduce OLTP costs.
  • Metadata, Governance & Compliance Metadata & Discovery: Establish enterprise standards for metadata, including tagging, classification, lineage, and discoverability.
  • Data-as-a-Product: Promote well-documented, discoverable, and consumable datasets.
  • Security & Compliance: Align with frameworks such as GDPR and HIPAA; manage GCP IAM, service accounts, role bindings, and encryption. Implement secure agent practices (e.g., OBO, authorization).
  • Database SRE & Performance Engineering SRE: Apply reliability practices to ensure availability, fault tolerance, and disaster recovery.
  • Performance Tuning: Lead query optimization, indexing strategies, and troubleshooting across distributed systems.
  • DevSecOps: Enable secure CI/CD pipelines for database code and configurations.
  • Database Architecture, IaC & Platform Strategy Define Golden Paths: Establish scalable, secure, self-service database architectures and roadmaps on GCP.
  • Infrastructure as Code: Build and maintain Terraform templates for automated provisioning and lifecycle management.
  • Multi-Engine & Serverless Integration: Architect across SQL (SQL Server, PostgreSQL, MySQL, AlloyDB, Spanner) and NoSQL (MongoDB, Firestore, Bigtable, Memorystore, Neo4j) with Cloud Functions and Cloud Run.
  • Data Modeling & ETL: Develop complex data models and reliable ETL pipelines integrating multiple data sources.
  • Cross-Team Leadership & Enablement Thought Leadership: Advise engineering, data, and AI teams on best practices.
  • Culture & Mentorship: Foster an AI-assisted, platform-first culture and mentor engineers.
 
Required Qualifications Experience:
  • 5+ years in database engineering with GCP AI enablement focus. AI/GenAI
  • Familiarity: Experience with Gemini Enterprise (or similar) and understanding of MCP or equivalent patterns.
  • Data Governance: Experience with Dataplex and Knowledge Catalog for metadata and lineage.
  • Multi-Engine Proficiency: Hands-on experience with GCP databases including Cloud SQL, AlloyDB, Spanner, Firestore, Memorystore, MongoDB, and BigQuery.
  • Security & DevSecOps: Knowledge of GCP IAM, encryption, and CI/CD practices.
 
Preferred Qualifications Platform Engineering:
  • Experience building Internal Developer Platforms (IDPs).
  • Certifications: GCP Professional Cloud Database Engineer or Data Engineer.
  • Automation & Coding: Proficiency in Terraform and programming (Python/Java).
  • Cloud-Native Ecosystems: Experience with Kubernetes (GKE) and database operators.
  • Advanced Analytics: Understanding of statistical analysis, data modeling, and ML libraries.
 
Skills Required:
  • GCP
 
Skills Preferred:
  • Artificial Intelligence & Expert Systems
 
Experience Required:
  • Engineer Exp: Prac. In 2 coding lang. or adv. Prac. in 1 lang.
  • 6+ years in IT;
  • 4+ years in development
 
Education Required:
  • Bachelor's Degree
 
Education Preferred:
  • Certification Program
 
Key Responsibilities
  • AI-Driven Database Innovation GenAI Productivity: Lead the adoption of Gemini Enterprise for database engineering productivity (e.g., automated query writing, debugging, and schema optimization).
  • Contextual AI Patterns: Define and implement patterns for integrating the Model Context Protocol (MCP) with databases to enable seamless, contextual AI interactions.
  • Intelligent Automation: Identify and deploy AI-driven automation opportunities across the database lifecycle, including predictive capacity planning, anomaly detection, and self-tuning.
  • AI/ML Collaboration: Partner with AI/ML teams to embed machine learning libraries, statistical modeling, and GenAI capabilities into broader data platform strategies.
  • Agent Development: Build agents on top of database AI framework that drive business value fault detection and cost reduction in the OLTP space at source and instant value realization.
 
Additional Info:
 
At FastTek Global, Our Purpose is Our People and Our Planet. We come to work each day and are reminded we are helping people find their success stories. Also, Doing the right thing is our mantra.  We act responsibly, give back to the communities we serve and have a little fun along the way.
We have been doing this with pride, dedication and plain, old-fashioned hard work for 24 years!
FastTek Global is financially strong, privately held company that is 100% consultant and client focused.
We've differentiated ourselves by being fast, flexible, creative and honest. Throw out everything you've heard, seen, or felt about every other IT Consulting company. We do unique things and we do them for Fortune 10, Fortune 500, and technology start-up companies.
Our benefits are second to none and thanks to our flexible benefit options you can choose the benefits you need or want, options include:
 
  • Medical and Dental (FastTek pays majority of the medical program)
  • Vision
  • Personal Time Off (PTO) Program
  • Long Term Disability (100% paid)
  • Life Insurance (100% paid)
  • 401(k) with immediate vesting and 3% (of salary) dollar-for-dollar match
 
Plus, we have a lucrative employee referral program and an employee recognition culture.
FastTek Global was named one of the Top Work Places in Michigan by the Detroit Free Press in 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, and 2023!
To view all of our open positions go to: https://www.fasttek.com/fastswitch/findwork
Follow us on Twitter: https://twitter.com/fasttekglobal
Follow us on Instagram: https://www.instagram.com/fasttekglobal
Find us on LinkedIn: https://www.linkedin.com/company/fasttek
You can become a fan of FastTek on Facebook: https://www.facebook.com/fasttekglobal/
AI & Hiring Disclosure
We use AI tools to support parts of our hiring process, such as reviewing applications and identifying potential matches. These tools are designed to promote efficiency, consistency, and fairness, and they are always used under human oversight.
All personal data collected is used solely for recruitment purposes, and you have the right to know, access, or request deletion of your data at any time, subject to legal limits.
If AI will be used in a video interview, you'll be informed in advance and asked for your consent, with the option to opt out.
Our tools are regularly reviewed to detect potential bias and to ensure compliance with all applicable laws and our commitment to inclusive hiring.
To learn more or exercise your rights, please contact us at info@fasttek.com.