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 Senior 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:
- 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
- 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
- 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
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
- 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
- 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
- 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
- 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
Technical Expertise
- Cloud Platforms: 5+ years in AWS, Azure, and GCP
- 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
- Competitive Salary
- Healthcare Benefit Package
- Career Growth
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What We Do
Charger Logistics' strives to offer the best client focused logistics solution. We start with flexibility. By offering various safe and efficient solutions for all product sizes, weights and sensitivities our limits are minimal. Additionally, our network, various locations throughout North America and fleet size allow us to offer our clients what they need every time.
Charger Logistics was founded in the early 2000's and has grown by leaps and bounds since then. From owning a single truck to owning a fleet of over eight-hundred trucks, two-thousand trailers including reefers, dry vans, chassis, flat beds, step decks and more! A lot has changed however, our commitment to our clients will never change.
