Job Specifications
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 DevOps Engineer- GCP 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, Dat