Software Engineer III - DevOps

UKG•Sunrise, FL

3d•$102,300 - $147,050

About The Position

We are seeking a highly motivated Senior Software Engineer – DevOps / Cloud Platform Engineering to join our Engineering Platform Continuous Delivery team. The ideal candidate is passionate about building scalable cloud infrastructure, automating software delivery, and improving developer productivity through modern DevOps practices. You will play a key role in designing, implementing, and operating cloud-native platforms while enabling engineering teams with secure, reliable, and automated deployment pipelines.

Requirements

Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
4+ years of professional software development experience.
Deep expertise in one or more programming languages such as C#, .NET, Python, Java, or JavaScript.
Extensive experience with software development practices and design patterns.
Proficiency with version control systems like GitHub and bug/work tracking systems like JIRA.
Understanding of cloud technologies and DevOps principles.
Google Cloud Platform (GCP) (preferred) or AWS/Azure
Cloud networking, IAM, storage, compute, and managed services
Cloud operations, monitoring, logging, and troubleshooting
High availability, scalability, and disaster recovery concepts
Terraform for provisioning and managing infrastructure
Infrastructure lifecycle management
Configuration management using Ansible
Docker and Kubernetes
Container orchestration and platform operations
Helm charts and Kubernetes resource management (preferred)
Python for automation and tooling
Shell/Bash scripting
REST APIs and automation frameworks

Nice To Haves

Experience with cloud platforms like Azure, AWS, or GCP.
Familiarity with CI/CD pipelines and automation tools.
Experience with test automation frameworks and tools.
Knowledge of agile development methodologies.
Familiarity with developing accessible technologies.
Dedicated to diversity and inclusion initiatives.
Excellent communication and interpersonal skills, with the ability to work effectively in a collaborative team environment.
Ideal candidate should be a U.S. citizen

Responsibilities

Design, build, automate, and maintain secure, scalable, and reliable cloud infrastructure on GCP.
Develop Infrastructure as Code (IaC) solutions using Terraform and Ansible to provision and manage cloud resources.
Build reusable platform capabilities that improve developer productivity and operational efficiency.
Design, implement, and maintain GitHub Actions workflows and enterprise CI/CD pipelines.
Automate build, test, deployment, and release processes for cloud-native applications and platform services.
Improve deployment reliability, reduce manual effort, and optimize delivery pipelines.
Monitor platform health, availability, and performance using modern observability tools.
Troubleshoot production issues, perform root cause analysis, and implement preventive measures.
Maintain high availability and operational excellence across cloud environments.
Manage Kubernetes clusters, container platforms, and cloud infrastructure.
Implement scalable, resilient, and cost-effective cloud solutions following industry best practices.
Continuously improve infrastructure through automation and standardization.
Develop automation tools and scripts using Python and Bash to eliminate repetitive operational tasks.
Build reusable internal tools and services that enhance platform capabilities.
Participate in architecture discussions and technical design reviews.
Review infrastructure and automation code to ensure quality, maintainability, security, and adherence to best practices.
Mentor team members on DevOps, cloud technologies, and platform engineering practices.
Take end-to-end ownership of platform services from design and implementation through deployment, monitoring, and production support.
Collaborate closely with development, security, and operations teams to deliver reliable cloud platforms.
Create and maintain documentation for platform architecture, automation workflows, deployment processes, and operational runbooks.