Cloud-Native Software Engineer – Kubernetes & Microservices

Peraton; West Laurel (MD); In loco; USD 140.000 - 205.000; Tempo pieno

Vantaggi offerti da questo lavoro

PTO 25 days

Subsidized employee benefits

Bonus plan eligibility

Descrizione del lavoro

Peraton is seeking an experienced software engineer in Maryland to design and optimize cloud-native applications and infrastructure. You will develop RESTful APIs and microservices using Java Spring Boot or Python, containerize with Docker, and apply IaC with Terraform or CloudFormation within a Kubernetes environment.

You will also orchestrate data pipelines, contribute to CI/CD pipelines, and collaborate with data architects and DevOps teams to deliver mission-critical capabilities.

Competenze

• Active TS/SCI with current Polygraph is required.
• Eight (8) years of experience in software development/engineering.
• Bachelor's Degree in Computer Science or related field; substitution rule applies.
• One of the following Cloud Developer Certifications is required: AWS Dev-Associate, AWS DevOps Pro, CKAD, Elastic Engineer.

Mansioni

• Design, implement, and optimize highly available cloud-native apps and infrastructure.
• Develop robust RESTful APIs and microservices with Java Spring Boot or Python.
• Build, deploy, and manage containerized apps using Docker; optimize image layering, security, and performance.
• Implement IaC to automate provisioning and management of cloud resources.
• Create interactive data-driven dashboards and visualizations using modern front-end frameworks.

Conoscenze

Java (Spring Boot)

Python

Cloud platforms (AWS)

RESTful APIs

Microservices architecture

Kubernetes internals

Data pipelines

IaC (Terraform or CloudFormation)

Cloud-native design

Analytical & communication skills

Formazione

Bachelor's Degree in Computer Science or related field

Strumenti

Docker

Terraform

AWS CloudFormation

Kubernetes

CI/CD tooling

Descrizione del lavoro

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
• 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

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.

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, DevOps 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.