Senior Java Engineer — AI-Native Edge & Cloud (Remote)

United States Digital Space LLC

United States

Remote

USD 150,000 - 190,000

Full time

5 days ago
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Job summary

United States Digital Space LLC is seeking a senior Java software engineer with architecture focus to own end-to-end design of high-performance, AI-enabled systems for an edge-cloud platform. You will lead technical decisions, mentor engineers, and collaborate with cross-functional teams to deliver scalable solutions.

The role emphasizes hands-on development in Java, microservices, Kubernetes, and cloud infrastructure, with a strong emphasis on AI tooling integration and performance

Qualifications

  • 6+ years of software development experience with Java.
  • Strong system architecture and design skills for scalable systems.
  • Experience with microservices and distributed architectures.
  • Hands-on with AI coding tools integrated into the SDLC.
  • Proven technical leadership and collaboration across teams.

Responsibilities

  • Design system and service architectures for high-performance software.
  • Translate complex requirements into robust designs.
  • Own end-to-end delivery from design to production.
  • Leverage AI-native tools to accelerate delivery.
  • Lead technically, mentor peers, and raise engineering standards.
  • Collaborate with cross-functional teams to solve complex problems.
  • Continuously explore new technologies and practices.

Skills

Java
System architecture
Distributed systems
AI coding tools
Technical leadership
English proficiency
Analytical skills
Communication skills
Microservices
SQL querying

Education

Bachelor's degree in Computer Science or related field

Tools

Spring Boot
Kubernetes
Cloud platforms
Vertica
NoSQL Databases
Codex / AI coding tools

Job description

United States Digital Space LLC is seeking a senior Java software engineer with architecture focus to own end-to-end design of high-performance, AI-enabled systems for an edge-cloud platform. You will lead technical decisions, mentor engineers, and collaborate with cross-functional teams to deliver scalable solutions.

The role emphasizes hands-on development in Java, microservices, Kubernetes, and cloud infrastructure, with a strong emphasis on AI tooling integration and performance

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