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.

Bachelor's degree or equivalent experience in a relevant field

Master’s degree desirable

At least 3+ years of progressive responsibilities in cloud-based technically aligned functions

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. Experience working with Google Cloud Platform, and related cloud native tools like Cloud Run, GKE, PubSub, Cloud Functions/Schedulers, APIGEE, GCP Logging, Terraform scripts, etc. and deployment pipelines like Cloud Build and Tekton.  Efficient with canary deployments, and API related technologies such as JSON, REST, Swagger and Postman.