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Entry Level Deployment Engineer Jobs (NOW HIRING)

Avior

Entry-Level Software Developer

Irving, TX · On-site

$42K - $52K/yr

We are seeking a motivated and enthusiastic Entry-Level Software Developer to join our team. In ... Troubleshoot, debug, test, and resolve software issues. * Assist in the testing and deployment of ...

Marlabs Inc

NJ

At this time, we are hiring for 45 Entry level positions at Technology Center of Excellence (CoE ... or deployments Must be willing to learn new/ updated technologies Selected candidates will be ...

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Entry Level Deployment Engineer information

See salary details

$35.5K

$109.6K

$170K

How much do entry level deployment engineer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for entry level deployment engineer in the United States is $109,561.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,500.00 and $138,500.00 per year, depending on experience, location, and employer.

What are some common responsibilities and challenges faced by an entry level deployment engineer during project rollouts?

As an Entry Level Deployment Engineer, you will typically be responsible for installing, configuring, and testing software or hardware solutions at client sites or remotely. A key challenge is adapting to different technical environments and troubleshooting issues that arise during deployment, often under tight deadlines. You'll often collaborate closely with senior engineers, project managers, and client IT teams, requiring strong communication and problem-solving skills. This role provides valuable exposure to real-world deployment processes and technologies, offering a solid foundation for career growth within IT engineering.

What does an entry level deployment engineer do?

An Entry Level Deployment Engineer assists with the installation, configuration, and rollout of software or hardware systems for clients or within an organization. They typically work under the supervision of senior engineers to ensure deployments run smoothly, troubleshoot issues, and provide post-deployment support. Their responsibilities may include preparing deployment documentation, testing systems before and after deployment, and collaborating with other IT teams. This role is a great starting point for those interested in IT infrastructure and systems engineering.

What is the difference between Entry Level Deployment Engineer vs Network Support Technician?

AspectEntry Level Deployment EngineerNetwork Support Technician
Required CertificationsCompTIA A+, Cisco CCNA (preferred)CompTIA A+, Network+
Work EnvironmentData centers, client sites, IT departmentsOffice, help desk, client sites
Industry UsageIT, telecommunications, technology companiesIT, telecommunications, service providers
Common Search IntentDeployment, configuration, implementationTroubleshooting, support, network issues

The Entry Level Deployment Engineer and Network Support Technician roles share certifications like CompTIA A+ and Cisco CCNA, and often work in similar environments within IT and telecommunications industries. However, deployment engineers focus on deploying and configuring systems and networks, while support technicians primarily troubleshoot and resolve network issues. Understanding these differences helps job seekers target the right roles based on their skills and career goals.

What are the key skills and qualifications needed to thrive as an entry level deployment engineer?

To thrive as an Entry Level Deployment Engineer, you need a basic understanding of networking, operating systems, and software installation, often supported by a relevant degree or technical certifications like CompTIA Network+ or Microsoft Certified: Azure Fundamentals. Familiarity with deployment tools such as Jenkins, Ansible, or SCCM, as well as ticketing and version control systems, is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you work efficiently with both technical teams and clients. These skills ensure smooth software or hardware rollouts, minimize errors, and foster successful collaboration during deployment projects.
More about Entry Level Deployment Engineer jobs
What cities are hiring for Entry Level Deployment Engineer jobs? Cities with the most Entry Level Deployment Engineer job openings:
What are the most commonly searched types of Deployment Engineer jobs? The most popular types of Deployment Engineer jobs are:
What states have the most Entry Level Deployment Engineer jobs? States with the most job openings for Entry Level Deployment Engineer jobs include:
What job categories do people searching Entry Level Deployment Engineer jobs look for? The top searched job categories for Entry Level Deployment Engineer jobs are:
Entry Level Deployment Engineer jobs near you
Infographic showing various Entry Level Deployment Engineer job openings in the United States as of August 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $109,561 per year, or $52.7 per hour.

AI Engineer (Entry-Level)

United Smart Tech

Carrollton, TX • On-site

$20 - $23/hr

Full-time

Re-posted 14 days ago

Job description

AI Engineer (Entry-Level) - Agents & Experimentation
For more than 25 years, Asurion has led innovation in tech solutions while building a culture where employees feel valued and supported. We help people stay connected by providing expert advice, reliable repair services, and device protection across all their technology.
We are looking for an entry-level AI Engineer to join our internal AI lab and help build, test, and deploy AI-powered agents across business workflows. This role is ideal for someone who learns by doing, thrives in ambiguity, and is excited about experimenting with cutting-edge AI models and tools.
You will work closely with cross-functional teams to turn early ideas into working prototypes and explore where AI can create real operational impact.
What You'll Do
  • Build and deploy AI agents for internal tools and customer-facing use cases
  • Experiment with frontier and open-source models (e.g., Claude, GPT-based models, and emerging frameworks)
  • Rapidly prototype ideas, test performance, and iterate based on results
  • Integrate AI models with APIs, workflows, and business systems
  • Research and apply new AI tools, libraries, and agent frameworks as they emerge
  • Collaborate with teams to identify opportunities where AI can improve efficiency or automation

What We're Looking For
  • Bachelor's degree in Computer Science, Engineering, or related field (completed or in progress)
  • Strong programming skills, preferably in Python
  • Experience working with APIs and basic backend integration
  • Demonstrated curiosity in AI/ML through personal projects, experiments, or coursework
  • High ownership mindset - able to take vague problems and build solutions independently
  • Comfortable working in fast-changing environments with minimal structure
  • Strong problem-solving and experimentation mindset

Nice to Have
  • Experience building personal AI projects, bots, or automation tools
  • Familiarity with LLM APIs, prompt engineering, or agent frameworks
  • Exposure to cloud platforms or deployment tools
  • GitHub portfolio or live projects

Note: AI Projects Portfolio Request
Please prepare a portfolio showcasing the AI projects completed so far. The portfolio should include a brief description of each project, its purpose, key features, tools/technologies used, and the current status or outcomes. This will help provide a clear overview of the work completed to date.
uBreakiFix is an equal-opportunity employer, dedicated to offering equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or veteran status.

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