Google Cloud Platform Developer (W-2 / No Agencies)

Cloud Platform Software Engineer - Mobility (W-2 Contract / No Agencies) • To meet the growing needs of the mobility business, the Cloud Platform team is looking for a highly motivated, technology focused individual with a passion to work on a collaborative software delivery team to enable the creation and management of Platforms and APIs deployed to the corporate mobility ecosystem. • End-to-end responsibility for the software services involving greater customer experiences and the platform supporting those experiences. Candidate Attributes: • Strong technical acumen in cloud computing platforms and technology is required. • Data driven, but also has ability to drive to conclusions with imperfect/incomplete data. • Knowledge of the Agile methodology and associated management tools (i.e. Jira). • Serve as a Full Stack Software Engineer that enables the design, development, and support of Platforms, APIs, and services • Participate in white board sessions to gather customer requirements • Develop SpringBoot/Java API/microservices on Google Cloud Platform (GCP) utilizing GCP services such as Cloud Run, Cloud Spanner, Cloud Pub/Sub, and more • Perform software engineering using Test Driven Development (TDD), continuous integration and continuous deployment (CI/CD) • Work in an extreme software development environment using Kanban software methodology • Work with team members to establish best practices to maximize efficiency and minimize risk. • Interact and work closely with product managers to devise solutions and break them down into incremental production-ready user stories • Identify opportunities for adopting new technologies to solve existing needs and predicting future challenges. Refactor API/microservices for simplification and efficiency • Execute API Load and Performance (L&P) on API/modules developed • Develop software that is Clean Code compliant and utilize tools such as SonarQube • Perform individual development and collaborate with cross functional teams on end-to-end integration, testing and issue triage efforts. • Use DevOps tools such as Jenkins, SonarCube, CheckMarx, Fossa, and GitHub to deploy, improve and manage software • Stay current on the latest technology and contribute to the technical direction of the company while keeping a customer-centric approach Skills / Experience Required: • Experience in designing, deploying, and supporting cloud-based solutions. • Experience with underlying application programming interface (API) methods for systems integrations/data exchange. • Knowledge of security considerations and how to implement them in cloud-based software solutions. • Experience supporting critical applications in an “always on” environment. • Minimum 5 years of progressive responsibilities in cloud-based technically aligned functions including: Core Development (Java Full Stack) • Backend: Java (11/17/21), Spring Boot, Spring Cloud. • Frontend: React, Angular, or Vue.js. • Build/Dependency Management: Maven, Gradle. GCP Infrastructure & Hybrid Cloud (Anthos) • Anthos: For managing hybrid and multi-cloud environments, ensuring consistency between on-prem and GCP. • Compute: Google Kubernetes Engine (GKE) and GKE Enterprise. • Serverless: Cloud Run, Cloud Functions. Service Mesh & Networking (Traffic & Security) • Anthos Service Mesh (ASM) / Istio: For managing microservices communication, traffic splitting (canary releases), and observability. • mTLS (Mutual TLS): Implementing "Zero Trust" security by ensuring all service-to-service communication is encrypted and authenticated via the Mesh. • API Gateways: o Google Cloud API Gateway: For managing, securing, and scaling APIs. o Apigee: For advanced API management and monetization. • Ingress Controllers: GKE Ingress or Istio Gateway for managing external access to services. • Cloud Load Balancing: Global and Regional Load Balancers (L7 and L4). CI/CD & Automated Deployments • Pipeline Tools: Jenkins, GitLab CI, GitHub Actions, or Google Cloud Build. • Infrastructure as Code (IaC): Terraform (GCP Provider), Helm Charts (for K8s packaging). • Deployment Strategies: Blue/Green, Canary, and Rolling updates (automated via Service Mesh or GKE). Skills Preferred: • Artificial Intelligence & Expert Systems Education Required: • Bachelor's degree or equivalent experience in a relevant field.