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Deployment Engineer Jobs in Wisconsin (NOW HIRING)

Qualysoft

... Deployment und Monitoring. Der Fokus liegt auf Big-Data-Engineering , ML/LLM-Workloads , MLOps-Automatisierung sowie der nahtlosen Integration in das Microsoft-Okosystem. 520 - 560 a day ...

EndoSec LLC

FPGA Engineer

Madison, WI · On-site

$131K - $168K/yr

... to deployment, Vivado, GHDL, Questa, Quartus Prime, Zynq, Agilex, AXI, ACE, Avalon, FPGA ... S. Government Security Clearance FPGA Engineer The EndoSec FPGA Engineer is responsible for the ...

Goli Tech

DevOps Engineer III

Madison, WI · On-site

$53.25 - $72.75/hr

We are seeking a skilled Platform Engineer to manage, maintain, and optimize our on-premise ... This role also includes app administration, installation, deployments, configurations, versioning ...

Sprocket Security

DevOps Engineer

Madison, WI · On-site

$53.25 - $72.75/hr

... s Engineer, you will design, implement, and maintain scalable and secure infrastructure in AWS ... deployments are successful, timely, and efficient. • Help manage, maintain, and improve ...

Sprocket Security

DevOps Engineer

Madison, WI · On-site

$53.25 - $72.75/hr

... s Engineer, you will design, implement, and maintain secure infrastructure in AWS while ... deployments are successful, timely, and efficient. • Help manage, maintain, and improve ...

Sprocket Security

DevOps Engineer

Madison, WI · On-site

$53.25 - $72.75/hr

... Engineer, you will be responsible for designing and maintaining secure infrastructure in AWS ... deployments are successful, timely, and efficient. • Help manage, maintain, and improve ...

FIS

Support Engineer - Enterprise Platforms

Milwaukee, WI · Hybrid

$144K - $246K/yr

The Support Engineer diagnoses, troubleshoots, and resolves complex production and customer issues ... deployments, networking, and resources. Customer-Facing Support - Engage directly with enterprise ...

Directsupply

AI Engineer

Milwaukee, WI · On-site

We'rehiring engineers to design, ship, andoperatethose systems in production. This role spans the ... Ownthe fullapplicationlifecycle:productdiscovery, experimentation, evaluation, deployment, and ...

Ultimus Fund Solutions

Senior AI Engineer

Milwaukee, WI · On-site

$103K - $141K/yr

Oversee the development and deployment of robust AI infrastructure leveraging enterprise data lakes ... Mentor junior engineering staff and advise the Managing Director on technical priorities and secure ...

Nature's Way

Modern Workplace Engineer

Green Bay, WI · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Modern Workplace Engineer Welcome to a better way, an authentic way. Welcome to Nature's Way. We ... Strong PowerShell and Microsoft Graph automation experience, including scalable deployment and ...

Mgic Investment

Senior Systems Engineer Analyst

Milwaukee, WI

$103K - $140K/yr

  • Retirement

  • PTO

MGIC is seeking a highly motivated Linux Engineer / DevOps Engineer to support and modernize our ... Partner with development teams to streamline deployments and improve reliability. * Implement ...

StradIT

WI · On-site

$120 - $180/hr

... developer experience. * Administer, configure, and troubleshoot applications running on Red Hat ... Manage Kubernetes resources including Pods, Deployments, StatefulSets, DaemonSets, Services ...

Springs Window Fashions

DevOps Cloud Engineer

Middleton, WI · Remote

$54.25 - $74.25/hr

Drive automation of build, test, deployment, and rollback processes to enable frequent, low-risk ... Engineer). * Experience supporting IoT ecosystems, device fleets, or home automation products.

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All JobsDeployment Engineer JobsDeployment Engineer Jobs in Wisconsin

Deployment Engineer information

See Wisconsin salary details

$35.8K

$110.6K

$171.6K

How much do deployment engineer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for deployment engineer in Wisconsin is $110,585.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,300.00 and $139,800.00 per year, depending on experience, location, and employer.

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

To thrive as a Deployment Engineer, you need a solid background in software development, systems administration, and deployment methodologies, often supported by a degree in computer science or related field. Familiarity with configuration management tools (like Ansible, Puppet, or Chef), CI/CD pipelines, and cloud platforms such as AWS or Azure is typically required. Problem-solving, attention to detail, and strong communication skills distinguish top performers in this role. These skills are crucial for ensuring smooth, reliable software releases and effective collaboration with cross-functional teams.

What is the difference between Deployment Engineer vs Network Engineer?

AspectDeployment EngineerNetwork Engineer
Required CredentialsBachelor's in CS or IT, certifications like Cisco CCNA, CompTIA Network+Bachelor's in CS, IT, or related field; Cisco CCNA, CompTIA Network+ often preferred
Work EnvironmentData centers, client sites, cloud environmentsCorporate offices, data centers, network operation centers
Industry UsageIT services, cloud providers, telecomTelecommunications, enterprise IT, service providers
Common Search/ComparisonDeployment Engineer vs Network Engineer

Deployment Engineers focus on implementing and configuring software or hardware solutions across various environments, ensuring smooth deployment processes. Network Engineers specialize in designing, maintaining, and troubleshooting network infrastructure. While both roles require networking knowledge and certifications, Deployment Engineers often work closely with software and system deployment, whereas Network Engineers focus on network connectivity and security.

What is a deployment engineer?

A deployment engineer is a computer system specialist who installs and maintains networks, software, or computer systems. As a deployment engineer, your responsibilities include troubleshooting issues related to routers and wireless networks, training customers how to use methods or implement upgrades, and ensuring that security is functioning properly on all network assets. Qualifications to become a deployment engineer include proficiency with networks protocols, proprietary programs, and equipment. Many employers prefer candidates with customer support experience.

What are some common challenges faced by deployment engineers during software rollout, and how are they typically addressed?

Deployment Engineers often face challenges such as coordinating with multiple teams, managing unexpected technical issues during rollout, and ensuring minimal downtime. These are typically addressed by thorough planning, automated deployment pipelines, and clear communication with stakeholders. Proactive testing in staging environments and having rollback strategies in place also help mitigate risks and ensure smooth deployments.
More about Deployment Engineer jobs

What are the most commonly searched types of Deployment Engineer jobs in Wisconsin?

The most popular types of Deployment Engineer jobs in Wisconsin are:

What are popular job titles related to Deployment Engineer jobs in Wisconsin?

For Deployment Engineer jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Deployment Engineer jobs in Wisconsin look for?

The top searched job categories for Deployment Engineer jobs in Wisconsin are:

What are popular job titles related to Deployment Engineer jobs in WI?

For Deployment Engineer jobs in WI, the most frequently searched job titles are:

Deployment Engineer jobs near you
Infographic showing various Deployment Engineer job openings in Wisconsin as of August 2026, with employment types broken down into 88% Full Time, 7% Part Time, and 5% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $110,585 per year, or $53.2 per hour.

Databricks AI / ML Engineer (m/w/d)

Qualysoft

On-site, Remote

Contractor

Re-posted 13 days ago

Job description

Fur ein langfristig angelegtes Daten- und KI-Programm wird ein Databricks AI / ML Engineer (m/w/d) gesucht.
Ziel ist die Entwicklung, Implementierung und der Betrieb skalierbarer Machine-Learning- und LLM-Losungen auf Azure Databricks von der Datenaufbereitung uber Feature Engineering bis hin zu MLOps, Deployment und Monitoring.
Der Fokus liegt auf Big-Data-Engineering, ML/LLM-Workloads, MLOps-Automatisierung sowie der nahtlosen Integration in das Microsoft-Okosystem.
520 - 560 a day
Rahmenbedingungen
Start: Marz/April 2026
Laufzeit: 3 Jahre (optional verlangerbar bis max. 5 Jahre)
Auslastung: 100 %
Arbeitsmodell: Hybrid - ca. 50 % vor Ort in Wien, ca. 50 % remote
Projektsprache: Deutsch und Englisch

Aufgaben:
Datenanalyse und Prototyping mit Python in Azure Databricks unter Einsatz gangiger ML-Frameworks
Entwicklung und Betrieb von Big-Data-Pipelines mit Apache Spark, Delta Lake und Databricks SQL
Durchfuhrung von Feature Engineering sowie Training, Versionierung und Deployment von Modellen mit Databricks MLflow
Entwicklung und Betrieb von ML- und LLM-Workloads auf Azure Databricks (inkl. Unity Catalog, Performance- und Kostenoptimierung)
End-to-End-Integration der Losungen in das Microsoft-Okosystem (z. B. API- und Schnittstellendesign, Orchestrierung mit Azure Functions und Logic Apps)
Aufbau und Weiterentwicklung von MLOps- und CI/CD-Pipelines fur automatisiertes Training, Testing, Deployment und Monitoring von ML- und LLM-Modellen sowie Agents
Durchfuhrung von Modell- und Datenmonitoring (Modellleistung, Daten-Drift, Bias) inklusive Wartungs- und Updateprozessen
Einsatz von AutoML-Tools zur Beschleunigung von Prototypen und Experimenten
Sicherstellung von Skalierbarkeit, Sicherheit und stabilen Betriebsprozessen der entwickelten Losungen

Fachliche Anforderungen:
Fundierte Kenntnisse in Datenanalyse und Prototyping mit Python in Azure Databricks
Erfahrung mit Machine-Learning-Frameworks wie TensorFlow, PyTorch und scikit-learn
Praktische Erfahrung im Big Data Engineering mit Apache Spark, Delta Lake und Databricks SQL
Kompetenz in Feature Engineering sowie Modell-Deployment mit managed Databricks MLflow
Erfahrung in der Entwicklung und dem Betrieb von ML- und LLM-Workloads auf Azure Databricks
Erfahrung mit End-to-End-Integrationen im Microsoft-Okosystem
Erfahrung im Aufbau von MLOps- und CI/CD-Pipelines fur ML- und LLM-Modelle sowie agentische Workflows
Erfahrung im Modell- und Datenmonitoring (Leistung, Drift, Bias) inklusive passender Wartungsstrategien
Praktische Erfahrung im Einsatz von AutoML-Tools
Vorhandensein einer eigenen, vom Produktivsystem des Auftraggebers getrennten Entwicklungsumgebung, die den aktuellen Standards fur Datensicherheit und Zugriffsschutz entspricht (inkl. Nachweis der Infrastruktur)

PLUS:
Erfahrung mit Data- und KI-Governance
Erfahrung in der Konzeption und Umsetzung agentischer Ansatze (Agenten, Multi-Agent-Systeme, agentische Workflows) mit Azure-Ressourcen
Erfahrung in der Umsetzung von End-to-End-Databricks-Projekten (von Datenaufbereitung und Feature Engineering uber Modelltraining und Deployment bis zu MLOps und Monitoring)
Branchenkenntnisse in der Energieindustrie
Strukturierte und analytische Arbeitsweise
Hohes Qualitatsbewusstsein und Verantwortungsbereitschaft
Sehr gute Kommunikationsfahigkeit gegenuber technischen und fachlichen Stakeholdern
Teamfahigkeit und Bereitschaft zur Wissensweitergabe

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