Cloud Software Engineer: Kubernetes & Data Pipelines (TS/SCI)

Peraton; United States; On-site; USD 135,000 - 216,000; Full time

Benefits offered by this job

Generous PTO

Bonus plan

Enhanced benefits

Job summary

Peraton is seeking a Cloud Software Engineer to design, implement, and optimize cloud-native applications and infrastructure. You will leverage Kubernetes and AWS to orchestrate containerized microservices at scale, delivering robust, data-driven solutions.

Responsibilities include building RESTful APIs with Java Spring Boot or Python, managing Docker containers, applying IaC, and creating dashboards with React or similar frameworks. Collaboration with DevOps and data teams is essential.

Qualifications

• Active TS/SCI clearance with polygraph required.
• Five (5) or more years of directly related software engineering or cloud development experience.
• Bachelor's degree in Computer Science or a related technical field is highly desired and may be substituted for two (2) years of experience.

Responsibilities

• Design, implement, and optimize cloud-native architectures.
• Develop and maintain robust RESTful APIs and microservices using Java (Spring Boot) or Python.
• Build, deploy, and manage containerized applications using Docker.
• Implement Infrastructure as Code (IaC) to automate provisioning and management of cloud resources.
• Create interactive, data-driven dashboards and visualization tools using React or Solid.

Skills

Java/Spring Boot

Python

Kubernetes

AWS

REST APIs

CI/CD

Data pipelines

Education

Bachelor's degree in Computer Science or related field

Tools

Docker

Terraform

Kubernetes Operators

Prometheus

Grafana

ELK Stack

Kafka

Neo4j

Job description

Peraton is seeking a Cloud Software Engineer to design, implement, and optimize cloud-native applications and infrastructure. You will leverage Kubernetes and AWS to orchestrate containerized microservices at scale, delivering robust, data-driven solutions.

Responsibilities include building RESTful APIs with Java Spring Boot or Python, managing Docker containers, applying IaC, and creating dashboards with React or similar frameworks. Collaboration with DevOps and data teams is essential.