External Title Cloud-Native Software Engineer – Kubernetes & Microservices

Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world’s leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace.

The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can’t be done by solving the most daunting challenges facing our customers. Visit  to learn how we’re keeping people around the world safe and secure.

Project

Description:

• Provides the research, development, evaluation, and demonstration of concepts, technologies, and capabilities to satisfy specific customer research requirements in specific areas.

Job 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.

Key Responsibilities:

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, Dev Ops teams, and product managers to align technical solutions with business objectives.
• Produce clear documentation of architectural patterns, deployment workflows, and operational procedures.

Highly Desired

Skills:

• 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.

Required Technical

Skills:

• Stro…