Role Overview

We are looking for high-capacity, hands-on Senior Java Backend Developers who will work under the guidance of our engineering leadership to design, develop, and support enterprise-grade APIs and cloud-native applications hosted on Google Cloud Platform (Google Cloud Platform). This role will focus on building scalable, resilient, and secure microservices leveraging modern Java technologies, event-driven architectures, and managed cloud services.

These individuals may find themselves assisting in the following activities on a daily basis:

Develop modern RESTful APIs and microservices using Java, Spring Boot, Spring Cloud, Docker, Kubernetes, and CI/CD pipelines.
Design and implement cloud-native solutions leveraging Google Cloud Platform (Google Cloud Platform) services such as GKE, Cloud Run, Pub/Sub, Cloud Storage, Secret Manager, Cloud Monitoring, and Cloud Logging.
Assist with solution architecture, system design, availability planning, disaster recovery, production deployment strategies, and performance engineering.
Design and build data solutions leveraging both relational and NoSQL databases including MongoDB Atlas, ensuring scalability, resiliency, and operational excellence.
Design and implement event-driven architectures utilizing Apache Kafka / Confluent Cloud, including topic strategy, event modeling, stream processing, data enrichment, and message transformations.
Build and support highly available cloud infrastructure using Infrastructure as Code (IaC) tools such as Terraform and automated deployment pipelines.
Partner with business and technology teams to implement secure, compliant, and scalable enterprise integration solutions.

We are looking for innovative, hands-on engineers who are excited about modern cloud technologies and committed to building highly scalable distributed systems using cloud-native design principles.

Responsibilities

Collaborate with engineers, architects, product owners, and business stakeholders to create enterprise API and event-driven integration solutions.
Develop software in an Agile environment leveraging DevOps practices, automated testing, CI/CD, and Infrastructure as Code.
Design and implement secure, scalable, and resilient microservices deployed on Google Cloud Platform.
Build and maintain event-driven systems utilizing Kafka and asynchronous messaging patterns.
Integrate applications with MongoDB Atlas and other enterprise data platforms.
Develop automated testing strategies including unit, integration, contract, and performance testing.
Implement observability practices including centralized logging, monitoring, tracing, and alerting.
Maintain and evolve existing enterprise integration assets and cloud-hosted services.
Partner with platform engineering and infrastructure teams to continuously improve deployment automation, cloud operations, security, and reliability.
Serve as a technical mentor and provide guidance on application architecture, coding standards, and cloud-native best practices.

Minimum Qualifications

Education

Required

Bachelor's degree in Computer Science, MIS, Engineering, or a related field, or equivalent work experience.

Work Experience / Skills

Required

7+ years of software development experience building enterprise applications and APIs.
5+ years of Java development experience with Spring Boot, Spring Framework, Maven, and Gradle.
Experience building and deploying cloud-native applications on Google Cloud Platform (Google Cloud Platform).
Experience with GKE (Google Kubernetes Engine), Kubernetes, Docker containers, and microservices architectures.
Experience designing and developing RESTful APIs and event-driven integrations.
Experience with Apache Kafka or managed Kafka platforms such as Confluent Cloud.
Experience with MongoDB Atlas and NoSQL database design principles.
Experience with CI/CD pipelines using tools such as GitHub Actions, Jenkins, GitLab CI, or equivalent.
Experience implementing Infrastructure as Code using Terraform or similar technologies.
Strong understanding of distributed systems, resiliency patterns, scalability, and performance optimization.
Experience working within Agile and DevOps delivery models.
Strong problem-solving, analytical, and communication skills.
Ability to collaborate across engineering, architecture, and business teams.

Preferred

Experience with Google Cloud services including:
- Google Kubernetes Engine (GKE)
- Cloud Run
- Pub/Sub
- Cloud Storage
- Secret Manager
- Cloud Monitoring & Logging
- Cloud Build
- Cloud SQL
Google Cloud Professional Cloud Developer or Professional Cloud Architect certification.
Experience implementing Event-Driven Architecture (EDA).
Experience with API gateways and service mesh technologies.
Experience with observability tools such as Grafana, Prometheus, OpenTelemetry, Dynatrace, Splunk, or Datadog.
Experience developing financial services or high-volume transaction processing systems.
Experience with security best practices including OAuth2, OIDC, JWT, and Zero Trust architectures.

Tech Stack Summary

Languages & Frameworks

Java 17+, Spring Boot, Spring Cloud

Cloud Platform

Google Cloud Platform (Google Cloud Platform)

Container Platform

Docker, Kubernetes, GKE

Messaging & Streaming

Apache Kafka, Confluent Cloud, Pub/Sub

Databases

MongoDB Atlas, SQL Databases

DevOps

GitHub, GitHub Actions, Jenkins, Terraform, CI/CD

Observability

Cloud Monitoring, Cloud Logging, Prometheus, Grafana, OpenTelemetry

Sr. Java/Google Cloud Platform Developer

Quick Overview

Job Description

Skills

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