Cloud Engineer - 3042106
Apex Systems LLC
Dearborn, United States of America
2 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
IntermediateJob location
Dearborn, United States of America
Tech stack
Java
API
Amazon Web Services (AWS)
Computing Platforms
Bash
Cloud Computing
Cloud Engineering
Cloud Storage
Configuration Management
Computer Security
Continuous Integration
DevOps
Distributed Systems
Protocol Buffers
Monitoring of Systems
Identity and Access Management
Python
Network Security
Network Configuration and Change Management
Routing
Nginx
Node.js
OAuth
OpenID
Powershell
Role-Based Access Control
Reliability Engineering
Prometheus
Service Development Studio
Software Engineering
Datadog
Google Cloud Platform
Cloud Platform System
Istio
Grafana
Spring-boot
Kubernetes Helm Charts
Multi-Cloud
Apigee
Infrastructure as Code (IaC)
Concourse
Build Management
Kubernetes
Infrastructure Automation Frameworks
Information Technology
Deployment Automation
Api Gateway
Terraform
Programming Languages
Job description
As a Software Engineer on the Cloud Engineering team, you will design, develop, and maintain the cloud platform, infrastructure, and automation tooling that powers our connected vehicle ecosystem. You will play a key role in improving reliability, scalability, security, and cost efficiency across a platform serving millions of vehicles worldwide., Platform Development & Automation
- Design and build cloud-native solutions that enable automated, repeatable shard provisioning.
- Develop tooling for:
- Kubernetes cluster bootstrapping
- Network configuration
- Service mesh deployment
- Health validation and readiness checks
- Build control plane capabilities that allow a new shard to be provisioned and production-ready within 24 hours with zero manual intervention.
Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field., * 5+ years of professional experience in Cloud Engineering, Platform Engineering, DevOps, SRE, or Software Engineering.
- Experience building and operating production infrastructure at scale.
- 3+ years of experience managing cloud infrastructure in AWS and/or GCP.
Technical Skills
- Hands-on experience provisioning and managing Kubernetes clusters (EKS or GKE) in production environments.
- Strong experience with Terraform and Infrastructure as Code (IaC) best practices.
- Experience with GitOps workflows and infrastructure automation.
- Proficiency developing and maintaining Helm charts.
- Strong troubleshooting and problem-solving skills in cloud and distributed systems environments.
- Experience with monitoring and observability platforms such as Prometheus, Grafana, Datadog, or similar solutions.
Core Competencies
Kubernetes Administration
- Cluster operations and upgrades
- Networking and security
- Workload management
- Monitoring and troubleshooting
Infrastructure Engineering
- Platform operations
- Reliability and scalability
- Configuration management
- Operational excellence
Preferred Qualifications
Cloud & Platform Technologies
- Google Cloud Platform (GKE, Pub/Sub, Cloud Storage, Workload Identity, VPC-SC, Cloud Operations)
- AWS cloud services and infrastructure management
- Multi-cloud platform architecture and migration strategies
Kubernetes Ecosystem
- Istio service mesh administration
- Traffic management and observability
- Helm chart development and lifecycle management
API Gateway Technologies
- Tyk
- Apigee
- NGINX
- Routing policies, mTLS, and API governance
CI/CD & Automation
- ArgoCD
- Tekton
- Concourse
- GitOps deployment methodologies
Programming Languages
- Python
- Go
- Java (Spring Boot)
- Node.js
- Bash or PowerShell scripting
Security
- IAM and role-based access control
- OAuth2/OIDC
- mTLS implementation
- Multi-cloud security architecture
Additional Preferred Skills
- gRPC service development
- Protocol Buffers (Protobuf) schema management
- Atlantis, Terragrunt, or collaborative Terraform workflow tools