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Mesh Automation Jobs in Michigan (NOW HIRING)

Stefanini

Cloud Engineer

Dearborn, MI · On-site

$51.25 - $68.50/hr

... automation, and platform engineering, with a focus on reliability, scalability, and cost ... mesh including traffic management, mTLS, and observabilityBuild and operate Google Cloud Platform ...

Digitive LLC

Only W2- Cloud DevOps Engineer

Troy, MI · On-site

$49.50 - $67.75/hr

... Mesh, and advanced ingress patterns). * Experience managing Kubernetes clusters and containerized workloads (EKS / Docker). * Expertise in Terraform and infrastructure automation practices.

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All JobsMesh Automation JobsMesh Automation Jobs in Michigan

Mesh Automation information

See Michigan salary details

$32.2K

$93.4K

$142.1K

How much do mesh automation jobs pay per year?

As of Aug 30, 2026, the average yearly pay for mesh automation in Michigan is $93,371.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,400.00 and $107,600.00 per year, depending on experience, location, and employer.

What is mesh automation?

Mesh Automation refers to the use of interconnected systems and tools to automate workflows, processes, or device management across a network, often within IT infrastructure or industrial environments. It enables seamless communication and coordination between different components or services, improving efficiency and reducing manual intervention. Mesh automation is commonly used in settings like smart factories, IoT deployments, and cloud-native environments to ensure scalability, resilience, and faster response times.

What are the key skills and qualifications needed to thrive as a mesh automation engineer?

To excel as a Mesh Automation Engineer, you generally need a strong background in networking, automation scripting (such as Python or Bash), and experience with mesh network protocols, often supported by a degree in computer science or a related field. Familiarity with network management tools, automation platforms (like Ansible or Puppet), and relevant certifications (e.g., CCNA, CWNA) is typically expected. Strong problem-solving skills, attention to detail, and effective communication help you collaborate with cross-functional teams and resolve complex network issues. These abilities are crucial to ensure resilient, scalable, and efficient mesh network operations in modern IT environments.

What are the typical challenges faced by professionals working in mesh automation, and how can they be addressed?

Professionals in Mesh Automation often encounter challenges such as integrating diverse devices and protocols within a mesh network, ensuring robust network security, and maintaining optimal performance as the system scales. Addressing these challenges typically involves continuous learning of new standards, close collaboration with firmware and network engineers, and proactive troubleshooting to identify and resolve connectivity issues. Additionally, staying current with the latest security practices and regularly testing network resilience help maintain a reliable and secure mesh environment.

What is the difference between Mesh Automation vs Network Automation?

AspectMesh AutomationNetwork Automation
CredentialsCertifications in network management, automation tools, and protocolsCertifications like Cisco CCNA, CCNP, or network automation-specific courses
Work EnvironmentPrimarily in data centers, large-scale networks, and cloud environmentsIn enterprise, service provider, and data center networks
Industry UsageUsed for automating mesh network configurations and managementUsed for automating overall network operations and provisioning

Mesh Automation focuses on automating the setup and management of mesh networks, which are interconnected nodes providing resilient connectivity. Network Automation covers a broader scope, including automating various network devices and configurations across different network types. While both roles require similar certifications and work environments, Mesh Automation specializes in mesh-specific protocols and architectures, making it essential for large-scale, resilient network deployments.

What are popular job titles related to Mesh Automation jobs in Michigan?

For Mesh Automation jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Mesh Automation jobs in Michigan look for?

The top searched job categories for Mesh Automation jobs in Michigan are:

Mesh Automation jobs near you
Infographic showing various Mesh Automation job openings in Michigan as of August 2026, with employment types broken down into 1% Internship, 86% Full Time, 6% Part Time, 2% Temporary, 4% Contract, and 1% Nights. Highlights an 81% Physical, 7% Hybrid, and 12% Remote job distribution, with an average salary of $93,371 per year, or $44.9 per hour.

Back-end Software Development Engineer

FastTek

Dearborn, MI

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 2 days ago

Job description

Back-end Software Development Engineer #1063084
Job Description:
About the Team:
  • Our mission is to empower teams to reliably run production systems using modern cloud-native tools.
  • We focus on building scalable, automated, and resilient solutions that benefit the entire engineering organization - managing the infrastructure that connects and serves 26M+ vehicles globally.
  • We are currently executing a multi-phase platform transformation: decoupling services to reduce blast radius, building a shard-based architecture to scale to 2028 demand, and laying the groundwork for GCP migration.
  • This is not maintenance work - it is foundational platform engineering that shapes how connected vehicle platform operates for the next five years.
  • Our primary customers are internal engineering teams, but the solutions we build have direct impact on vehicle reliability, operational cost, and ability to launch new vehicle programs on time.
 
Responsibilities:
  • As a Software Engineer on the Cloud Engineering team, you will be responsible for designing, developing, and maintaining the cloud platform and automation tooling that powers our platform transformation.
  • Your contributions will directly impact the reliability, scalability, and cost-efficiency of a system serving millions of vehicles.
 
Skills Required:
Key responsibilities include:
Platform Development & Automation
  • Design and build cloud-native solutions that enable automated, repeatable shard provisioning - including cluster bootstrapping, network configuration, service mesh setup, and health validation.
  • Build the control plane tooling that allows a new shard to be provisioned and traffic-ready in under 24 hours with zero manual steps.
  • Infrastructure as Code Own and extend production Terraform modules for multi-cloud environments (AWS and GCP).
  • Maintain GitOps-driven infrastructure workflows using Atlantis or similar tooling. Ensure infrastructure changes are reviewed, tested, and auditable before reaching production.
 
Kubernetes & Service
  • Mesh Provision, manage, and automate Kubernetes cluster lifecycle (EKS and GKE).
  • Write Helm charts for multi-shard deployments parameterized by shard ID, region, and environment.
  • Configure and operate Istio service mesh including traffic management, mTLS enforcement, and observability.
  • GCP Platform Engineering Build and operate GCP-native platform components: GKE workload deployment, Pub/Sub integration, Cloud Storage, Secret Manager, workload identity federation, and VPC-SC perimeter controls.
  • Support the phased migration from AWS to GCP as the architecture evolves.
 
API Gateway & Ingress
  • Configure and operate API gateway infrastructure (Tyk, Apigee, or NGINX) including routing policies, mTLS enforcement, rate limiting, and SLI/SLO metric replication.
  • Drive zero-downtime ingress migrations with automated runbook validation.
 
CI/CD Automation
  • Develop and maintain CI/CD pipelines using ArgoCD, Tekton, or Concourse.
  • Automate deployment gates - cluster health checks, fleet distribution validation, rollback triggers - so that shard migrations execute reliably without human intervention at each step.
 
Security & Compliance
  • Implement IAM best practices across AWS and GCP: environment-specific role isolation, workload identity, least-privilege access, and automated access reviews.
  • Implement and maintain monitoring for quota thresholds, certificate expiry, and security policy drift.
 
Observability & Monitoring
  • Build and maintain monitoring, alerting, and dashboarding solutions (Prometheus, Grafana, Datadog, Cloud Operations) that give engineering teams real-time visibility into shard health, fleet distribution balance, and platform SLOs.
  • Automation & Tooling Write automation scripts and internal tools (Python, Go, Bash, Node.js) that improve platform workflows - migration orchestration CLIs, fleet distribution validators, runbook automation, and capacity planning tools.
 
Operational Support
  • Participate in on-call rotations, troubleshoot incidents, and apply SRE principles to improve system resilience.
  • Drive root cause elimination, not just mitigation.
 
Experience Required:
Skills & Experience
Must Have:
  • Experience provisioning and managing Kubernetes clusters (EKS or GKE) in production
  • 3+ years managing cloud infrastructure on AWS and/or GCP
  • Strong Terraform skills - writing modular, production-grade IaC with GitOps workflows
  • Experience with Helm for packaging and deploying multi-environment Kubernetes workloads
  • Strong debugging and problem-solving skills for cloud infrastructure and distributed systems
  • Experience with monitoring and observability tools (Prometheus, Grafana, Datadog, or equivalent)
 
Experience Preferred:
Highly Desired:
  • GCP experience: GKE, Pub/Sub, Cloud Storage, workload identity, VPC-SC, Cloud Operations
  • API gateway experience: Tyk, Apigee, or NGINX - routing, policy management, mTLS, SLI replication
  • Service mesh experience: Istio traffic management, mTLS, and observability
  • gRPC service design and protobuf schema management
  • Experience with CI/CD platforms: ArgoCD, Tekton, Concourse, or similar GitOps tooling
  • Programming proficiency in Python, Go, Java (Spring Boot), or Node.js
  • Security: IAM role isolation, mTLS, OAuth2/OIDC, securing multi-cloud environments at scale
  • Experience with Atlantis, Terragrunt, or similar collaborative Terraform workflows
 
Education Required:
Minimum Qualifications:
  • Bachelor's or Master's degree in Computer Science, Engineering, or related field
  • 5+ years of professional software or cloud engineering experience
  • Demonstrated experience shipping and operating production infrastructure at scale
 
Additional Information:
Why This Role:
  • You will be building the platform that enables connected vehicle architecture to scale beyond its current limits - eliminating single-cluster blast radius risk, enabling sharded multi-cloud deployment, and making GCP migration a reality.
  • The work is technically hard, the scale is real, and the impact is direct.
 
Job Description Part B - Primary Skills Required Experience Level
  • 5+ years of relevant industry experience in Cloud Infrastructure, Platform Engineering, DevOps, or Site Reliability Engineering (SRE) roles.
  • Kubernetes Administration Hands-on experience deploying, managing, troubleshooting, and optimizing production Kubernetes clusters. Candidates should be comfortable with cluster operations, upgrades, networking, security, monitoring, and workload management.
  • Infrastructure Management Strong background in cloud infrastructure engineering, including provisioning, configuration management, platform operations, reliability, scalability, and operational excellence.
 
Additional Skills Preferred
  • Terraform Experience designing and managing Infrastructure as Code (IaC) solutions, including reusable modules and automated infrastructure deployment.
  • Scripting Strong automation skills using Python, Bash, PowerShell, or similar scripting languages.
  • Helm Experience creating, maintaining, and deploying Helm charts for Kubernetes-based applications.
  • Cloud Platforms (AWS/Azure) Hands-on experience with cloud services, networking, security, observability, and infrastructure management.
  • Application Development Technologies Knowledge of Java, Spring Boot, and Python is desirable. These skills are secondary to the cloud engineering and infrastructure competencies listed above.
 
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.