DevOps Engineer

Accenture • St. Petersburg, FL

3d • $59,100 - $196,000 • Hybrid

About The Position

We are: The Advanced Technology Centers (ATCs) is the engine for reinvention in our clients’ transformation journey. Powered by more than 255,000 people across 24 countries, ATCs provide our clients seamless access to industry insights and innovative technology solutions. Stronger together! The Advanced Technology Centers (ATCs) make a tremendous impact in solving our clients’ business problems by leveraging Innovation, Intelligence, Industry insights, new IT, and new technology skills. Now, with the global environment changing at a faster pace, our clients are facing unprecedented challenges, and they need us more than ever before. As a Network, ATCs are positioned to unlock greater opportunities and exponential value for our clients. The value for our clients and our people: For our clients, the Network provides the strength of our geographic diversity, greater resilience, and seamless access to the deepest industry knowledge, the latest in Gen AI solutions, and tech expertise from around the world. For our people, it brings an opportunity to shape truly boundaryless career paths in a highly collaborative team of experts where they can learn from each other and solve the world’s most complex client challenges. You are: A DevOps Engineer, you will design, implement, and manage scalable, secure, and efficient DevOps pipelines and cloud infrastructure. You will collaborate closely with cross-functional teams to automate workflows, ensure system reliability, and integrate security into the DevOps lifecycle. Leveraging tools such as Jenkins, Azure DevOps, Kubernetes, Terraform, and Prometheus, you will drive continuous integration, delivery, and monitoring of applications. Your strong technical expertise in cloud platforms, containerization, CI/CD automation, and infrastructure as code will be essential to deliver impactful solutions. The Work: As a DevOps Engineer, your primary responsibility will be to design and implement scalable DevOps pipelines and manage cloud infrastructure across platforms like AWS, Azure, or GCP. You will automate workflows using tools such as Jenkins, GitHub Actions, and Terraform, ensuring system reliability, security, and observability. This role involves collaborating with engineering teams to address infrastructure requirements, troubleshoot issues, and optimize workflows for scalability and efficiency. Proficiency in scripting languages like Python, Bash, or PowerShell, along with expertise in containerization and orchestration, will be critical to succeed in this role. This role will require a minimum of 3 days per week in the office. Hiring locations: Tampa or Columbus.

Requirements

• A minimum of three years of experience working with at least one major cloud platform such as AWS, Azure, or GCP for cloud infrastructure management and deployment.
• A minimum of one year of experience with Docker for containerization and Kubernetes for container orchestration and scaling
• A minimum of one year of experience Linux fundamentals and scripting languages such as Python, Bash or PowerShell
• Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate Degree, must have minimum 6 years work experience)

Nice To Haves

• Strong knowledge in CI/CD tools such as Jenkins, GitHub Actions, Harness, AWS CodeDeploy/CodePipeline, Azure DevOps, or similar platforms for automating continuous integration and delivery pipelines.
• Experience with Terraform and Ansible for automating infrastructure provisioning and configuration.
• Familiarity with tools like Prometheus, Grafana, Datadog, and Splunk for system monitoring and observability.
• Experience in creating dashboards for monitoring and reporting using tools such as Grafana, Kibana, Datadog, Splunk, or similar platforms.
• Knowledge of security and code quality tools such as SonarQube, Checkmarx, and Veracode for integrating security into DevOps workflows.
• Experience with object-oriented programming (Python, Java)
• Experience using AI for software development

Responsibilities

• design and implement scalable DevOps pipelines
• manage cloud infrastructure across platforms like AWS, Azure, or GCP
• automate workflows using tools such as Jenkins, GitHub Actions, and Terraform, ensuring system reliability, security, and observability
• collaborating with engineering teams to address infrastructure requirements
• troubleshoot issues
• optimize workflows for scalability and efficiency

Benefits

• medical
• dental
• vision
• life
• long-term disability coverage
• a 401(k) plan
• bonus opportunities
• paid holidays
• paid time off

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees