Why This Role Stands Out
This hybrid role offers a fantastic opportunity to architect cutting-edge enterprise Java applications on Google Cloud Platform, working with microservices, Kubernetes, and DevOps best practices. If you're a seasoned architect passionate about building scalable, cloud-native solutions and mentoring teams, you'll thrive in this dynamic environment. Embrace the chance to shape innovative solutions and advance your career with a leading company.
Quick Overview
Seniority
Mid Senior
Work mode
Hybrid
Location
Detroit, MI, United States
Posted
3 weeks ago
DockerMicroservicesMongoDBSQLSpringSpring BootELKService MeshArgoCDCassandraGoogle CloudGrafanaGraphQLIstioJavaJenkinsKafkaKubernetesPrometheusRESTRabbitMQTerraformgRPC
Job Description
Job Description:
- Lead the architecture, design, and implementation of enterprise Java applications using Java 11+, Spring Boot, microservices, and Google Cloud Platform (Google Cloud Platform).
- Design secure, scalable, cloud-native solutions with Kubernetes, Docker, and Google Kubernetes Engine (GKE).
- Define application, API, integration, deployment, and operational architecture.
- Develop API-first and event-driven architectures using REST, GraphQL, gRPC, Kafka, and RabbitMQ.
- Establish architecture standards, engineering best practices, and technical governance.
- Guide engineering teams through design, development, deployment, and production support.
- Drive CI/CD, GitOps, Infrastructure as Code (Terraform), and DevOps best practices.
- Design observability solutions using OpenTelemetry, Prometheus, Grafana, ELK, Dynatrace, Jaeger, or Zipkin.
- Conduct architecture reviews, modernization initiatives, cloud migration strategies, and technical assessments.
- Mentor technical teams and collaborate with clients, stakeholders, and leadership to deliver enterprise solutions.
Requirements:
- Extensive experience with Java 11+, Spring Boot, and enterprise application architecture.
- Strong expertise in microservices, distributed systems, and Google Cloud Platform (Google Cloud Platform).
- Hands-on experience with Docker, Kubernetes, and Google Kubernetes Engine (GKE).
- Experience with REST APIs, GraphQL, gRPC, Kafka, RabbitMQ, and event-driven architecture.
- Knowledge of SQL, NoSQL databases (MongoDB, Cassandra), API gateways, and service mesh technologies (Istio, Linkerd).
- Experience with Jenkins, GitOps, ArgoCD, Terraform, CI/CD, and DevOps practices.
- Strong understanding of scalability, security, performance, resilience, and observability.
- Excellent client-facing communication, technical leadership, and architecture governance experience.
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