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Junior Developer Operations Engineer Jobs in Winter Garden, FL

DevOps (Azure)

Orlando, FL · On-site

$49.25 - $67.50/hr

Experience in creating and maintaining CI/CD pipelines in Azure Devops Experience in Azure / ARM Templates / Monitoring, etc. Experience in Git and PowerShell ? Azure Devops Administration experience ...

DevOps (Azure)

Orlando, FL · On-site

$49.25 - $67.50/hr

Experience in creating and maintaining CI/CD pipelines in Azure Devops Experience in Azure / ARM Templates / Monitoring, etc. Experience in Git and PowerShell ? Azure Devops Administration experience ...

DevOps (Azure)

Orlando, FL · On-site

$49.25 - $67.50/hr

Experience in creating and maintaining CI/CD pipelines in Azure Devops Experience in Azure / ARM Templates / Monitoring, etc. Experience in Git and PowerShell ? Azure Devops Administration experience ...

Cloud Devops

Orlando, FL · On-site

$49.25 - $67.50/hr

Cloud Devops Orlando, FL 2 Years No C2C at this moment, any visa is okay. Thanks! 1.AWS- debugging ... The right candidate is a senior cloud engineer 2 plus years of Amazon experience. They will be ...

Cloud Devops

Orlando, FL · On-site

$49.25 - $67.50/hr

Cloud Devops Orlando, FL 2 Years No C2C at this moment, any visa is okay. Thanks! 1.AWS- debugging ... The right candidate is a senior cloud engineer 2 plus years of Amazon experience. They will be ...

Cloud Devops

Orlando, FL · On-site

$49.25 - $67.50/hr

Cloud Devops Orlando, FL 2 Years No C2C at this moment, any visa is okay. Thanks! 1.AWS- debugging ... The right candidate is a senior cloud engineer 2 plus years of Amazon experience. They will be ...

Showing results 21-40

Junior Developer Operations Engineer information

See Winter Garden, FL salary details

$21.2K

$78.6K

$121.5K

How much do junior developer operations engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for junior developer operations engineer in Winter Garden, FL is $78,599.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,200.00 and $76,900.00 per year, depending on experience, location, and employer.

What is a junior developer operations engineer?

Junior Developer Operations Engineers, often called Junior DevOps Engineers, are entry-level professionals who assist in bridging the gap between software development and IT operations. They help automate processes, manage deployment pipelines, and monitor systems to ensure reliability and efficiency. Their responsibilities typically include writing scripts, managing cloud infrastructure, troubleshooting issues, and collaborating with development and operations teams to improve workflows. As juniors, they work under the guidance of senior DevOps engineers and are often learning new tools and practices on the job.

What are the key skills and qualifications needed to thrive as a junior developer operations engineer?

To thrive as a Junior Developer Operations Engineer, you need a foundational understanding of software development, system administration, and networking, often supported by a degree in computer science or related field. Familiarity with tools like Docker, Kubernetes, CI/CD pipelines, and cloud platforms such as AWS or Azure, as well as basic scripting knowledge, is typically required. Strong problem-solving skills, attention to detail, and effective communication help you collaborate with software and IT teams. These skills are crucial for ensuring seamless software deployment, system reliability, and efficient team workflows.

What are some common challenges faced by junior developer operations engineers when transitioning from development or IT roles?

Junior DevOps Engineers often encounter challenges such as mastering automation tools (like Jenkins, Docker, or Ansible), adapting to rapid deployment cycles, and learning to troubleshoot complex system integrations. Additionally, the shift to a collaborative workflow—working closely with both developers and IT operations—can require developing strong communication skills and a proactive approach to problem-solving. However, these challenges provide valuable learning experiences and opportunities for growth within dynamic, cross-functional teams.

What is the difference between Junior Developer Operations Engineer vs Junior Developer DevOps Engineer?

AspectJunior Developer Operations EngineerJunior Developer DevOps Engineer
CredentialsTypically requires a degree in computer science or related field; certifications like AWS, Azure, or Linux are commonSimilar credentials; often holds certifications in cloud platforms, scripting, or automation tools
Work EnvironmentWorks in IT operations, focusing on deployment, monitoring, and infrastructure managementWorks in development and operations, emphasizing automation, CI/CD pipelines, and system integration
Employer & Industry UsageUsed in organizations with a focus on infrastructure and system stabilityCommon in tech companies emphasizing continuous integration and delivery

Both roles involve technical skills and cloud knowledge, but the Junior Developer Operations Engineer leans more towards infrastructure and system stability, while the Junior Developer DevOps Engineer emphasizes automation and integration within development pipelines.

What cities near Winter Garden, FL are hiring for Junior Developer Operations Engineer jobs?

Cities near Winter Garden, FL with the most Junior Developer Operations Engineer job openings:

Infographic showing various Junior Developer Operations Engineer job openings in Winter Garden, FL as of August 2026, with employment types broken down into 60% Full Time, 20% Temporary, and 20% Contract. Highlights an 100% In-person job distribution, with an average salary of $78,599 per year, or $37.8 per hour.

$120 - $180/hr

Other

Medical, Dental, Vision, Retirement

Posted 17 days ago


Job description

Build the cloud platforms powering the next generation of AI innovation.

The Role

Capco is looking for an experienced AI DevOps Engineer (AWS) to help design, build, and operate the cloud infrastructure that powers our Artificial Intelligence and Generative AI capabilities. Working within our Technology & Engineering Practice, you will enable AI Engineers and Data Scientists to deploy, scale, and manage AI solutions securely, reliably, and efficiently.

This is a senior individual contributor opportunity for someone who enjoys hands‑on engineering, automation, cloud‑native technologies, and solving complex platform challenges while working alongside multidisciplinary teams delivering innovative solutions for leading financial institutions.

What You’ll Do
  • Design, build, and maintain scalable AWS cloud infrastructure supporting AI, Machine Learning, and Generative AI platforms.
  • Develop Infrastructure as Code using Terraform (preferred), AWS CloudFormation, or equivalent technologies while building automated CI/CD pipelines for AI applications and services.
  • Deploy, manage, and optimize containerized workloads using Docker and Kubernetes (Amazon EKS preferred), supporting AI model deployment and lifecycle management.
  • Implement monitoring, logging, observability, security, and governance across cloud environments while optimizing reliability, scalability, performance, and cost efficiency.
  • Collaborate with AI Engineers, Data Scientists, Data Engineers, and Solution Architects to continuously improve platform engineering, automation, and operational excellence.
What We’re Looking For
  • 5–7 years of experience in DevOps, Cloud Engineering, Platform Engineering, or Site Reliability Engineering, supported by a Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent practical experience.
  • Strong hands‑on experience with AWS cloud services, Infrastructure as Code (Terraform preferred), CI/CD tooling, Docker, Kubernetes, Linux administration, and cloud networking fundamentals.
  • Experience supporting AI, Machine Learning, data platforms, or MLOps environments, with strong scripting skills in Python and/or Bash.
  • Experience implementing monitoring, observability, IAM, secrets management, cloud security, governance, and operational best practices using tools such as CloudWatch, Prometheus, Grafana, Datadog, or Splunk.
  • Strong troubleshooting, communication, collaboration, and stakeholder engagement skills with the ability to work effectively across cross‑functional engineering teams.
Bonus Points For
  • Experience with Microsoft Azure and/or Google Cloud Platform.
  • Experience supporting Generative AI, Large Language Models (LLMs), MLOps, MLflow, SageMaker, Kubeflow, or similar technologies.
  • Familiarity with vector databases, AI inference platforms, or modern model deployment architectures.
  • Experience working within Financial Services or other highly regulated industries.
  • AWS Certified DevOps Engineer – Professional, AWS Solutions Architect, or Azure/Google Cloud certifications.
Why Join Capco
  • Deliver high-impact technology solutions for Tier 1 financial institutions.
  • Work in a collaborative, flat, and entrepreneurial consulting culture.
  • Access continuous learning, training, and industry certifications.
  • Be part of a team shaping the future of digital financial services.
  • Help shape the future of digital transformation across Financial Services and Energy.
  • Medical, Dental, and Vision coverage.
  • 401(k) with company match, Health Savings Account (HSA), Flexible Spending Account (FSA), and commuter benefits.
  • Maternity and paternity leave, dependent care support, and tuition reimbursement.
  • Wellness reimbursement and Working Advantage employee discount marketplace.
  • A people‑first culture focused on continuous learning, career growth, and professional development.
Inclusion at Capco

We’re committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know – we’ll be happy to help. We value each person’s unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our #BeYourselfAtWork culture encourages individuality and collaboration – a mindset that shapes how we work with clients and each other every day.

Use of Artificial Intelligence in Talent Acquisition

At Capco, we use artificial intelligence (AI) tools to support and enhance several parts of talent acquisition. This includes using AI‑enabled features within LinkedIn to help source potential candidates, speeding up routine recruitment communications such as emails and creating compelling and brand‑aligned job postings that accurately reflect role requirements, and AI‑scheduling applications to improve the efficiency of interview coordination.

AI is used as a support tool only. All hiring decisions are made by talent acquisition and hiring teams.

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