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Wyetech

Posted 16 days ago

Open

Cloud Software Engineer 2

Annapolis JunctionOn-site

AI Summary

Cloud Software Engineer Level 2 at Wyetech designs and implements cloud-native architectures, develops microservices and APIs, manages Kubernetes deployments, builds data pipelines, and automates CI/CD for federal government customers.

About this role

At Wyetech, you’ll be at the center of an award-winning corporate culture, breaking technological barriers and solving real-world problems for our federal government customers. We are committed to hiring the best of the best, and in return, we offer a world-class, truly unique employee experience that is rare within our industry.
The Cloud Software Engineer Level 2 Engineer provides cloud software research, development, and engineering services to include requirements analysis, software development, installation, integration, evaluation, enhancement, sustainment, testing, validation, and issue diagnosis/resolution.
Due to federal contract requirements, United States Citizenship and position appropriate security clearance is required. (e.g. Active TS/SCI security clearance with agency appropriate polygraph).

Capabilities

  • 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,
  • 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.

    • Required Qualifications

  • TS/SCI with agency appropriate poly
  • Five (5) or more years of directly related software engineering or cloud development experience.
  • Bachelor’s degree in Computer Science or a related technical field is highly desired and may be substituted for two (2) years of experience.

    • 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 architectures.
  • Proven experience building and managing data processing pipelines.
    Excellent analytical, communication, and collaboration skills.

    • Required Certifications

  • AWS Certified Developer – Associate
  • AWS DevOps Engineer – Professional
  • Certified Kubernetes Application Developer (CKAD)
  • Elastic Certified Engineer

    • Desired Technical Skills

  • Deep understanding of Kubernetes internals, including Pods, Services, Namespaces, and resource management.
  • Experience with Kubernetes Operators and Custom Resource Definitions (CRDs).
  • Familiarity with distributed streaming platforms (e.g., Kafka) and graph databases (e.g., Neo4j).
  • Expertise in cloud monitoring and observability tools, such as Prometheus, Grafana, or the ELK stack.
  • Proficiency with Infrastructure as Code (IaC) tools, including Terraform or AWS CloudFormation.
  • Experience with big data processing frameworks, such as Apache Spark, is a plus.

    • Skills

    Apache SparkAWSAWS CloudFormationCI/CDDockerELK StackGrafanaInfrastructure As CodeJavaKafkaKubernetesMicroservicesNeo4jPrometheusPythonReactRESTful APIsSOLIDSpring BootTerraform

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