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 peraton.com to learn how we’re keeping people around the world safe and secure.

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

• 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.

• 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.

 

• 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.

 

• 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.

 

• 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.

• 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.

• 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
• At least one of the following Cloud Developer Certifications is required.
• AWS Certified Developer-Associate
• AWS DevOps Engineer Professional
• Certified Kubernetes Application Developer (CKAD)
• Elastic Certified Engineer

 

• 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).

Benefits: Peraton offers enhanced benefits to employees supporting this critical National Security program, which include heavily subsidized employee benefits coverage for you and your dependents, 25 days of PTO accrued annually up to a generous PTO cap, and eligibility to participate in an attractive bonus plan.

$176,000 - $282,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual’s experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.

The application period for the job is estimated to be 30 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. By applying to this job, you are expressing interest in the role and the Company. During the review of your application, you may be required to participate in an on-camera interview, as well as participate in a process to verify your identity. Use of artificial intelligence (AI) tools of any kind during Peraton interviews is strictly prohibited unless the candidate has obtained prior written authorization. All interview responses must be the candidate’s own.

EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.