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# Cloud-Native Software Engineer - Kubernetes & Microservices

- **Company:** Peraton Inc
- **Location:** Laurel, MD, United States
- **Experience:** Expert
- **Salary:** $176,000.0 - $282,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Amazon Web Services, Application Layers, Architectural Patterns, Big Data, Cloud Computing, Cloud Engineering, Cloud Storage, Information Systems, Continuous Integration, Data Visualization, DevOps, Distributed Data Store, Event-Driven Programming, Graph Database, Python (Programming Language), Neo4j, Prometheus, Software Deployment, Software Engineering, Data Streaming, Web Application Frameworks, Cloud Monitoring, Spring Cloud, ReactJS, System Availability, Delivery Pipeline, Grafana, Apache Spark, Spring-boot, Infrastructure as Code (IaC), Cloudformation, Kubernetes, Infrastructure Automation Frameworks, Information Technology, Deployment Automation, Data Analytics, Apache Kafka, Front End Software Development, Restful APIs, Terraform, Data Pipelines, Docker, Elk Stack, Microservices
- **Published:** October 22, 2026
- **Apply:** https://diversityjobs.com/career/18737228/Cloud-Native-Software-Engineer-Kubernetes-Microservices-Maryland-Laurel

## About the Role

* Experience with Kubernetes Operators and Custom Resource Definitions (CRDs).
 * Experience with distributed streaming platforms (e.g., Kafka) and graph databases (e.g., Neo4j).
 * Experience in cloud monitoring and observability tools, such as Prometheus, Grafana, or the ELK stack.
 * Experience with big data processing frameworks, such as Apache Spark, is a plus.
 * Experience with big data processing frameworks, such as Apache Spark, is a plus.
 * Experience deploying applications in a cloud environment.
 * Experience developing and deploying data driven analytics; event driven analytics; sets of analytics orchestrated through rules engines.
 * Experience developing and deploying analytics that include foreign language processing; analytic processes that incorporate/integrate multi-media technologies.

Qualifications

Required Technical Skills:

 * Strong proficiency in Java (Spring Boot) or Python.
 * Hands-on experience with cloud platforms, preferably AWS.
 * Solid understanding of web application frameworks and microservice architecture.
 * Proven experience building and managing data processing pipelines.
 * Excellent analytical, communication, and collaboration skills.
 * RESTful APIs development using Java (Spring Boot) or Python.
 * Infrastructure as Code (IaC). Proficiency with Infrastructure as Code (IaC) tools, including Terraform or AWS CloudFormation (such as Terraform or AWS CloudFormation).
 * Stateful and stateless services (application & architecture).
 * Deep understanding of Kubernetes internals (Pods, Services, Namespaces, and Resource Management).

Basic Requirements:

 * Active TS/SCI with current Polygraph is required
 * Eight (8) years of experience in software development/engineering, including requirements analysis, software development, installation, integration, evaluation, enhancement, maintenance, testing, and problem diagnosis/resolution.
 * Bachelor's Degree in Computer Science or in a related technical field (Mathematics, Information Systems, Engineering, or similar degree) is required.

 * An additional four (4) years of software development/engineering experience can be substituted for a degree

## Description

* Responsible for designing, implementing, and optimizing highly available, cloud-native applications and infrastructure.
 * Leverage Kubernetes and modern cloud service providers to orchestrate complex, containerized microservices at-scale., Cloud Architecture & Development:
 * Design and implement resilient, scalable, and cost-efficient 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, emphasizing optimized image layering, security, and performance.
 * Implement Infrastructure as Code (IaC) to automate provisioning, configuration, and management of cloud resources.
 * Create interactive, data-driven dashboards and visualization tools using modern front-end frameworks such as React or Solid.

Orchestration & Data Pipelines:

 * Orchestrate complex services within a Kubernetes environment, managing deployments, ingress controllers, service meshes, and stateful workloads.
 * Design and implement distributed data pipelines to ingest, process, and store high-volume data efficiently.
 * Ensure seamless data flow between cloud storage, microservices, and application layers while maintaining high availability.

Development & Testing of CI/CD & Reliability:

 * Build and maintain automated CI/CD pipelines for rapid, reliable software delivery.
 * Implement comprehensive testing strategies, including unit, integration, and cloud-readiness tests.
 * Monitor system health and performance, proactively identifying and resolving bottlenecks in production environments.

Collaboration & Communication:

 * Partner with data architects, DevOps teams, and product managers to align technical solutions with business objectives.
 * Produce clear documentation of architectural patterns, deployment workflows, and operational procedures.