Senior Cloud & Backend Engineer (Java, Kubernetes)

Photon

Sunnyvale (CA)

On-site

USD 140,000 - 220,000

Full time

26 hours ago
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Job summary

Photon is seeking a Senior Cloud/Server Engineer to design and scale backend services in a modern cloud environment. You will work with Java, Spring Boot, microservices, and Kubernetes, building RESTful APIs and integrating SQL and MongoDB data stores.

Expect hands-on work with GCP/AWS, performance tuning, and production monitoring. The ideal candidate has 8+ years of experience, strong debugging skills, and familiarity with AI-assisted development tools integrated into the SDLC.

Qualifications

  • 8+ years of software engineering experience.
  • Strong Java expertise and Spring Boot experience.
  • Experience building microservices and REST APIs.
  • Hands-on Kubernetes knowledge.
  • Cloud experience with GCP and/or AWS.
  • Experience with SQL and MongoDB.
  • Familiar with monitoring tools like Datadog and Grafana.
  • Proficient with GitHub and Jira.

Responsibilities

  • Design and maintain backend applications using Java and Spring Boot.
  • Build and operate microservices-based systems on Kubernetes.
  • Develop and integrate REST APIs and database access.
  • Manage cloud deployments on GCP and AWS.
  • Implement caching and performance enhancements.
  • Write unit tests and perform API testing.
  • Monitor applications using Datadog/Grafana and log via GitHub/Jira.
  • Apply AI-assisted SDLC tools where appropriate.

Skills

Java
Spring Boot
Microservices
Kubernetes
REST APIs
SQL
MongoDB
Cloud (GCP/AWS)
AI-assisted development

Tools

GitHub
Jira
Datadog
Grafana
Claude
Codex
Gemini CLI

Job description

Photon is seeking a Senior Cloud/Server Engineer to design and scale backend services in a modern cloud environment. You will work with Java, Spring Boot, microservices, and Kubernetes, building RESTful APIs and integrating SQL and MongoDB data stores.

Expect hands-on work with GCP/AWS, performance tuning, and production monitoring. The ideal candidate has 8+ years of experience, strong debugging skills, and familiarity with AI-assisted development tools integrated into the SDLC.

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