Cloud-Native Software Engineer – Kubernetes & Microservices

Peraton•Laurel, MD

2d•$176,000 - $282,000

About The Position

Peraton is hiring a Cloud-Native Software Engineer to research, develop, evaluate, and demonstrate concepts, technologies, and capabilities that satisfy customer research requirements. The role designs, implements, and optimizes highly available cloud-native applications and infrastructure, using Kubernetes and modern cloud providers to orchestrate containerized microservices at scale. The engineer develops cloud architectures and services, builds APIs and data-driven user interfaces, automates cloud infrastructure, and operates distributed data pipelines. The position also supports CI/CD, testing, monitoring, and reliability efforts, while collaborating with data architects, DevOps teams, and product managers and documenting architecture and operational practices. An active TS/SCI clearance with a current polygraph is required.

Requirements

Active TS/SCI with current polygraph.
Eight years of software development or engineering experience, including requirements analysis, development, installation, integration, evaluation, enhancement, maintenance, testing, and problem diagnosis and resolution.
Bachelor's degree in Computer Science or a related technical field, such as Mathematics, Information Systems, or Engineering; an additional four years of software development or engineering experience may substitute for the degree.
At least one cloud developer certification: AWS Certified Developer-Associate, AWS DevOps Engineer Professional, Certified Kubernetes Application Developer (CKAD), or Elastic Certified Engineer.
Strong proficiency in Java with Spring Boot or Python.
Hands-on experience with cloud platforms, preferably AWS.
Understanding of web application frameworks and microservices architecture.
Experience building and managing data processing pipelines.
Excellent analytical, communication, and collaboration skills.
Experience developing RESTful APIs with Java and Spring Boot or Python.
Proficiency with Infrastructure as Code tools such as Terraform or AWS CloudFormation.
Knowledge of stateful and stateless services and architecture.
Deep understanding of Kubernetes internals, including Pods, Services, Namespaces, and resource management.

Nice To Haves

Experience with Kubernetes Operators and Custom Resource Definitions (CRDs).
Experience with distributed streaming platforms such as Kafka and graph databases such as Neo4j.
Experience with cloud monitoring and observability tools such as Prometheus, Grafana, or the ELK stack.
Experience with big data processing frameworks such as Apache Spark.
Experience deploying applications in a cloud environment.
Experience developing and deploying data-driven analytics, event-driven analytics, and analytics orchestrated through rules engines.
Experience developing and deploying analytics involving foreign language processing or multimedia technologies.

Responsibilities

Design and implement resilient, scalable, and cost-efficient cloud-native architectures.
Develop and maintain RESTful APIs and microservices using Java with Spring Boot or Python.
Build, deploy, and manage Docker containerized applications, with attention to image layering, security, and performance.
Use Infrastructure as Code to automate provisioning, configuration, and management of cloud resources.
Create interactive, data-driven dashboards and visualization tools using frameworks such as React or Solid.
Orchestrate services in Kubernetes, including deployments, ingress controllers, service meshes, and stateful workloads.
Design and implement distributed data pipelines for efficient ingestion, processing, and storage of high-volume data.
Maintain reliable data flow among cloud storage, microservices, and application layers.
Build and maintain automated CI/CD pipelines.
Implement unit, integration, and cloud-readiness testing strategies.
Monitor system health and performance and identify and resolve production bottlenecks.
Collaborate with data architects, DevOps teams, and product managers to align technical solutions with business objectives.
Document architectural patterns, deployment workflows, and operational procedures.