DevOps & Platform Engineer

CGI•Salt Lake City, UT

17h•Onsite

About The Position

Are you passionate about building resilient, scalable platforms that power mission-critical applications? Do you enjoy solving complex technical challenges through automation, cloud technologies, and modern DevOps practices? CGI is seeking a DevOps & Platform Engineer to join our growing team in Salt Lake City, UT. In this role, you'll collaborate with software engineers, solution architects, infrastructure specialists, and client stakeholders to design, automate, and optimize enterprise platforms that enable secure, reliable, and scalable application delivery. As a trusted technical consultant, you'll leverage cutting-edge technologies including Google Cloud Platform (GCP), Kubernetes, Neo4j Graph Database, Azure DevOps, Jenkins, Docker, Terraform, and Infrastructure as Code (IaC) to build modern platform solutions, automate deployment pipelines, and improve engineering productivity across enterprise environments. At CGI, you'll have the opportunity to solve meaningful business challenges, expand your technical expertise, and grow your career within a collaborative culture that values innovation, continuous improvement, and your unique perspective. This position is based onsite at a client location in the Salt Lake City, UT area.

Requirements

Bachelor's degree in Computer Science, Computer Engineering, Information Technology, or a related technical discipline
3+ years of experience in DevOps Engineering, Platform Engineering, Site Reliability Engineering (SRE), Infrastructure Engineering, Cloud Engineering, or a related role
Strong programming and scripting experience using one or more of the following: Python, Java, TypeScript, JavaScript, Groovy, Bash, PowerShell, YAML, Ruby
Experience developing and supporting REST APIs, microservices, and modern build frameworks such as Maven and Gradle
Hands-on experience administering Neo4j Graph Database, including installation, upgrades, clustering, backup/recovery, performance tuning, and production support
Strong knowledge of Cypher Query Language, graph data modeling, query optimization, and graph database best practices
Advanced experience with Git and enterprise Source Code Management (SCM) best practices
Proven experience designing, implementing, and supporting CI/CD pipelines using Azure DevOps, Jenkins, GitLab, or comparable DevOps platforms
Experience deploying and managing containerized applications using Docker, Kubernetes, Helm, and enterprise Kubernetes platforms such as OpenShift, Tanzu, Rancher (RKE), or equivalent
Experience working with Google Cloud Platform (preferred) or AWS in cloud-native enterprise environments
Experience implementing Infrastructure as Code using Terraform, Ansible, Puppet, Chef, or comparable automation tools
Experience supporting both Linux and Windows server environments
Experience implementing monitoring, logging, and observability solutions using AppDynamics, Splunk, Prometheus, Grafana, ELK/OpenSearch, or similar technologies
Working knowledge of relational and NoSQL databases, including SQL Server, MySQL, MongoDB, and database migration/versioning tools such as Liquibase
Strong analytical, troubleshooting, communication, and collaboration skills
Experience working within Agile methodologies including Scrum, Kanban, or SAFe

Nice To Haves

Google Cloud Professional, AWS, Kubernetes (CKA/CKAD), Terraform, or Azure DevOps certifications
Experience supporting highly available, mission-critical production environments
Familiarity with security automation, vulnerability management, and DevSecOps practices
Experience mentoring junior engineers and promoting DevOps best practices across engineering teams

Responsibilities

Design, implement, and support enterprise DevOps platforms that improve software delivery, operational excellence, and engineering productivity
Administer and optimize enterprise Source Code Management (SCM) platforms, including Git repositories, branching strategies, version control, merge workflows, and release management
Design, deploy, administer, and optimize Neo4j Graph Database environments, including installation, upgrades, clustering, performance tuning, backup/recovery, monitoring, and production support
Develop and optimize graph data models, Cypher queries, indexes, and graph traversal strategies to support high-performance, relationship-driven enterprise applications
Build reusable platform services, automation frameworks, APIs, integrations, plug-ins, and microservices that streamline development and operational workflows
Design, implement, and maintain CI/CD pipelines using Azure DevOps, Jenkins, GitLab CI/CD, or similar platforms to accelerate software delivery while maintaining security and quality
Deploy, manage, and support containerized applications using Docker, Kubernetes, Helm, and enterprise Kubernetes platforms such as OpenShift, Tanzu, Rancher (RKE), or equivalent
Implement cloud-native infrastructure on Google Cloud Platform (preferred) or AWS using Infrastructure as Code and DevOps automation best practices
Develop Infrastructure as Code (IaC) solutions using Terraform, Ansible, Puppet, Chef, or similar technologies to automate infrastructure provisioning and configuration management
Implement enterprise monitoring, logging, and observability solutions using technologies such as AppDynamics, Splunk, Prometheus, Grafana, ELK/OpenSearch, or similar platforms
Troubleshoot complex platform, application, infrastructure, and deployment issues while driving root cause analysis and continuous improvement
Create and maintain technical documentation, engineering standards, deployment procedures, and operational runbooks
Collaborate with software engineers, architects, infrastructure teams, and client stakeholders to deliver secure, scalable, and highly available platform solutions
Participate in Agile delivery ceremonies, technical design discussions, code reviews, and continuous improvement initiatives