Charger Logistics Inc. is a world-class asset-based carrier with locations across North America. With over 20 years of experience providing best-in-class logistics solutions, Charger Logistics has evolved into a premier transport provider and continues to expand rapidly.

We are seeking a highly experienced GCP DevOps Engineer with proven expertise in multi-cloud environments (AWS, Azure, GCP) to lead our cloud infrastructure initiatives. The ideal candidate will have strong hands-on experience with Kubernetes orchestration (EKS, AKS, GKE), advanced CI/CD implementations, and a track record of architecting scalable cloud-native solutions.
Key Responsibilities:

Multi-Cloud Infrastructure Management

• Design, implement, and manage large-scale infrastructure across AWS, Azure, and GCP
• Architect and maintain highly available Kubernetes clusters using EKS, AKS, and GKE
• Leverage Infrastructure as Code (IaC) tools like Terraform, CloudFormation, and ARM templates
• Monitor and optimize cloud resource usage and cost efficiency
• Ensure robust disaster recovery, business continuity, and environmental resilience

Container Orchestration & Microservices

• Deploy and manage containerized applications using Docker and Kubernetes
• Implement service mesh solutions with Istio for advanced traffic routing
• Standardize deployments using Helm charts
• Configure auto-scaling, load balancing, and service discovery for microservices
• Enforce container security best practices and perform vulnerability scanning

CI/CD Pipeline Architecture

• Architect and implement scalable CI/CD pipelines using tools like Jenkins, Azure DevOps (YAML/Classic), GitHub Actions, TeamCity, and CircleCI
• Drive GitOps strategies using ArgoCD for Kubernetes deployments
• Implement automated testing strategies: unit, integration, and mutation testing
• Enable blue-green, canary, and rolling deployments
• Embed security and compliance checks into the pipeline lifecycle

Cloud Services Implementation

AWS:

• EC2, EKS, ECS, Lambda, Elastic Beanstalk
• DynamoDB, S3, RDS, ElastiCache
• SES, SNS, SQS, Cognito
• CloudWatch, CloudFormation, Systems Manager

Azure:

• AKS, Azure Functions, App Service, Service Fabric
• Azure AD, Key Vault, Managed Service Identity (MSI)
• Blob Storage, Azure SQL, Cosmos DB
• Virtual Machines, VM Scale Sets, Azure DevOps

GCP:

• Compute Engine, GKE, Cloud Functions
• BigQuery, Cloud Storage, AlloyDB
• Vertex AI for ML integrations
• Cloud Deployment Manager, Stackdriver

Automation & Scripting

• Extensive automation experience, with a strong emphasis on Python scripting
• Develop infrastructure automation tools and self-service platforms
• Automate monitoring, alerting, and incident response
• Build tools for database performance tuning and routine maintenance
• Enforce security governance through automated checks and policy enforcement

Security & Compliance

• Apply Zero Trust Architecture principles
• Manage access with IAM, OAuth 2.0, and SAML
• Handle secrets with Vault, AWS Secrets Manager, and Azure Key Vault
• Implement network security, encryption protocols, and SSL/TLS configurations
• Ensure compliance with industry standards and integrate SIEM tools

Database & Data Platform Management

• Maintain high availability for SQL Server, PostgreSQL, MySQL, and NoSQL databases
• Configure backups, replication, and recovery strategies
• Monitor and tune database performance and scaling
• Support platforms like Snowflake, BigQuery, Azure Synapse
• Work with databases such as Redis, MongoDB, Cassandra, DynamoDB, Cosmos DB

Team Leadership & Collaboration

• Lead cross-functional teams across development, security, and data engineering
• Mentor junior engineers in DevOps, automation, and cloud technologies
• Conduct architecture reviews and provide technical direction
• Promote a DevOps culture centered on automation, collaboration, and CI/CD best practices
• Collaborate with stakeholders to align solutions with business objectives

Requirements

Technical Expertise

• Cloud Platforms: 5+ years of GCP experience is a must.
• Experience with AWS and Azure would be an added advantage.
• Kubernetes: 4+ years managing production workloads (EKS, AKS, GKE)
• CI/CD: Deep knowledge of Jenkins, Azure DevOps, GitHub Actions, ArgoCD
• IaC Tools: Advanced skills in Terraform, CloudFormation, ARM templates, and Ansible
• Scripting: Expert in Python, with additional experience in PowerShell, Bash, Node.js
• Containers: Proficient in Docker, Kubernetes, Helm, and Istio
• Strong experience with relational and NoSQL databases and cloud-native data services
• Understanding of data lake and data warehouse architectures

Additional Requirements

• Experience with serverless technologies and microservices architecture
• Familiarity with monitoring tools (CloudWatch, Azure Monitor, Stackdriver)

Preferred Qualifications

• Cloud Certifications (AWS Solutions Architect, Azure DevOps Engineer, GCP Professional)
• Kubernetes Certifications (CKA, CKAD)
• Experience with AI/ML platforms (SageMaker, Azure ML, Vertex AI)
• Proficiency in data engineering tools (Spark, Databricks, Airflow)
• Experience with security tools (Darktrace, Fortinet, Cloudflare)
• Contributions to open-source projects
• Background as a Product Owner or Technical Lead

Benefits

• Competitive Salary
• Healthcare Benefit Package
• Career Growth