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Agility Partners
Agility Partners is seeking a qualified Senior Java Engineer to fill an open position with one of our clients in the financial services industry. This is an exciting opportunity to work on enterprise-scale, cloud-native applications leveraging modern Java technologies, Google Cloud Platform, and event-driven architectures.
The ideal candidate will play a key role in designing and building highly scalable microservices, APIs, and integration solutions while helping drive cloud transformation initiatives. This role offers the chance to work with cutting-edge technologies including GCP, Kafka, Kubernetes, MongoDB Atlas, and Infrastructure as Code.
In this role, you will collaborate with engineering, architecture, and business teams to develop secure, resilient, and high-performing backend solutions. You will contribute to the design and implementation of cloud-native applications, event-driven systems, and automated deployment pipelines while serving as a technical mentor for development best practices.
Design, develop, and maintain RESTful APIs and microservices using Java, Spring Boot, Spring Cloud, Docker, and Kubernetes.
Build and support cloud-native solutions on Google Cloud Platform, leveraging services such as GKE, Cloud Run, Pub/Sub, Cloud Storage, and Secret Manager.
Develop and enhance event-driven integrations utilizing Apache Kafka, Confluent Cloud, and asynchronous messaging patterns.
Partner with cross-functional teams to implement scalable, secure, and observable enterprise applications while driving CI/CD and Infrastructure as Code best practices.
7+ years of software development experience building enterprise applications, APIs, and distributed systems.
5+ years of hands-on Java development experience with Spring Boot, Spring Framework, Maven, and Gradle.
Proven experience building and deploying cloud-native applications on Google Cloud Platform (GCP).
Strong expertise with Kubernetes, GKE, Docker, and microservices architecture design.
Experience developing event-driven systems using Apache Kafka, Confluent Cloud, or similar streaming platforms.
Experience working with MongoDB Atlas, NoSQL databases, and enterprise data integration patterns.
Hands-on experience with CI/CD pipelines, Terraform or Infrastructure as Code, Agile delivery methodologies, and DevOps practices.
Reasons to Love It
Work with a modern cloud-native technology stack including GCP, Kubernetes, Kafka, and MongoDB Atlas.
Influence architecture and engineering decisions for enterprise-scale, mission-critical applications.
Collaborate with highly skilled engineers in an Agile, DevOps-driven environment.
Opportunity to mentor team members while expanding expertise in cloud, observability, and event-driven architectures.
Tech Stack Summary
Languages & Frameworks
Java 17+, Spring Boot, Spring Cloud
Cloud Platform
Google Cloud Platform (GCP)
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
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