Senior Cloud Software Engineer — Java Spring & Big-Data

InterImage; Fort Meade (MD); Sur place; USD 180 000 - 240 000; Plein temps

Avantages offerts par ce poste

401K matching program

PTO 20 days/year

Healthcare, dental, vision, life

Résumé du poste

InterImage is seeking a Cloud Software Engineer to design, implement, and optimize large-scale Big-Data cloud systems in a hybrid/cloud environment. The role emphasizes back-end processing, data indexing, and collaboration across engineering teams.

You will work with Java Spring Boot services, manage large MongoDB and Kubernetes clusters, and contribute to cloud migrations across AWS and on-premises infrastructure.

Qualifications

• Twelve years of software engineering experience in programs of similar scope and complexity is required.
• Bachelor's degree in Computer Science or related discipline is required; four years of which must be in Big-Data cloud technologies and/or Distributed Computing.
• Master's in Computer Science may substitute for two years of experience.
• Cloudera Certified Hadoop Developer may substitute for one year of Cloud experience.

Responsabilités

• Develop, maintain, and enhance complex Big-Data Cloud systems and back-end processing components.
• Analyze, index, and manage data flows; contribute to design trade-offs and system-level requirements.
• Review and test software components for adherence to design requirements; document results.
• Resolve software problem reports and support deployment in cloud environments.

Connaissances

Java

Spring Boot

MongoDB

Kubernetes

Rancher RKE2

Kalka

AWS

RHEL

LLMs

S3/Minio

Elasticsearch

Nifi

Formation

Bachelor's degree in Computer Science or related discipline

Description du poste

InterImage is seeking a Cloud Software Engineer to design, implement, and optimize large-scale Big-Data cloud systems in a hybrid/cloud environment. The role emphasizes back-end processing, data indexing, and collaboration across engineering teams.

You will work with Java Spring Boot services, manage large MongoDB and Kubernetes clusters, and contribute to cloud migrations across AWS and on-premises infrastructure.