Senior GCP Cloud Engineer

Summary

Join TribalScale's team of digital pioneers and shape the future with innovative solutions. As a bold innovator, you'll work in a hybrid environment to engineer production-quality code, architect microservices, and collaborate with DevOps teams.

Requirements

• Extensive experience in Google Cloud Platform (GCP) and other public cloud environments
• Strong background in microservices architecture, including RESTful API development
• Proficiency in Java (with Spring Boot) and experience with Python and shell scripting
• Deep knowledge of containerization (Docker, Kubernetes) and experience managing containerized applications in the cloud (preferably GCP)
• Experience with event-driven architecture and messaging frameworks like Apache Kafka
• Strong understanding of DevOps culture, practices, and CI/CD tools (Jenkins, Gradle/Maven, BitBucket, Ansible)
• Hands-on experience with Infrastructure as Code
• Expertise in both SQL and NoSQL database technologies, with exposure to big data solutions
• Familiarity with monitoring and observability tools such as Splunk, Dynatrace, and real-time application monitoring
• Solid understanding of security principles, data encryption, and securing data at rest and in transit
• Experience with building real-time, high-availability, low-latency systems
• Strong problem-solving skills and ability to work in a fast-paced, collaborative environment

Responsibilities

• Work within our hybrid business hours (9:00 AM - 5:00 PM EST) to engineer production-quality code
• Architect, design, and implement microservices using Spring Boot and Java in a GCP environment
• Develop RESTful APIs and ensure their scalability and performance
• Work with containerization technologies (Docker, Kubernetes) to deploy and manage microservices
• Build and manage event-driven architectures, leveraging Apache Kafka and Confluent Cloud
• Collaborate with DevOps teams to implement CI/CD pipelines using Jenkins, Gradle/Maven, BitBucket, and Ansible
• Apply Infrastructure as Code (IaC) practices to automate infrastructure provisioning and management
• Design and maintain high-performance, low-latency, and high-availability systems
• Work with both SQL and NoSQL databases, ensuring optimal storage solutions for diverse data sets
• Implement proactive monitoring and observability solutions using tools like Splunk and Dynatrace
• Ensure security best practices, including data encryption (PKI, TLS, HTTPS) and securing data both in transit and at rest
• Troubleshoot and resolve performance bottlenecks in distributed systems

Preferred Qualifications

Experience in the financial industry