Overview
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).
Full job description
About The 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
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Design and implement resilient, scalable, and cost-efficient cloud-native architectures.
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Develop and maintain robust RESTful APIs and microservices using Java (Spring Boot) or Python.
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Build, deploy, and manage containerized applications using Docker, emphasizing optimized image layering, security,
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Implement Infrastructure as Code (IaC) to automate provisioning, configuration, and management of cloud resources.
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Create interactive, data-driven dashboards and visualization tools using modern front-end frameworks such as React or Solid.
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Orchestrate complex services within a Kubernetes environment, managing deployments, ingress controllers, service meshes, and stateful workloads.
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Design and implement distributed data pipelines to ingest, process, and store high-volume data efficiently.
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Ensure seamless data flow between cloud storage, microservices, and application layers while maintaining high availability.
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Build and maintain automated CI/CD pipelines for rapid, reliable software delivery.
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Implement comprehensive testing strategies, including unit, integration, and cloud-readiness tests.
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Monitor system health and performance, proactively identifying and resolving bottlenecks in production environments.
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Partner with data architects, DevOps teams, and product managers to align technical solutions with business objectives.
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Produce clear documentation of architectural patterns, deployment workflows, and operational procedures.
Required Qualifications
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TS/SCI with agency appropriate poly
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Five (5) or more years of directly related software engineering or cloud development experience.
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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
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Strong proficiency in Java (Spring Boot) or Python.
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Hands-on experience with cloud platforms, preferably AWS.
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Solid understanding of web application frameworks and microservice architectures.
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Proven experience building and managing data processing pipelines. Excellent analytical, communication, and collaboration skills.
Required Certifications
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AWS Certified Developer – Associate
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AWS DevOps Engineer – Professional
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Certified Kubernetes Application Developer (CKAD)
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Elastic Certified Engineer
Desired Technical Skills
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Deep understanding of Kubernetes internals, including Pods, Services, Namespaces, and resource management.
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Experience with Kubernetes Operators and Custom Resource Definitions (CRDs).
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Familiarity with distributed streaming platforms (e.g., Kafka) and graph databases (e.g., Neo4j).
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Expertise in cloud monitoring and observability tools, such as Prometheus, Grafana, or the ELK stack.
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Proficiency with Infrastructure as Code (IaC) tools, including Terraform or AWS CloudFormation.
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Experience with big data processing frameworks, such as Apache Spark, is a plus.
Additional information
Wyetech, LLC is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Affirmative Action Statement: Wyetech, LLC is committed to the principles of affirmative action in all hiring and employment for minorities, women, individuals with disabilities, and protected veterans.
Accommodations: Wyetech, LLC is committed to providing an inclusive and accessible hiring process. If you need any accommodations during the application or interview process, please contact Brittney Wood. at 844-WYETECH x727 or staffing@wyetech.com. We are happy to provide reasonable accommodations to ensure equal access to all candidates.
Requirements & qualifications
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TS/SCI with agency appropriate poly
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Five (5) or more years of directly related software engineering or cloud development experience.
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Bachelor’s degree in Computer Science or a related technical field is highly desired and may be substituted for two (2) years of experience.
-
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.
-
AWS Certified Developer – Associate
-
AWS DevOps Engineer – Professional
-
Certified Kubernetes Application Developer (CKAD)
-
Elastic Certified Engineer
-
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.
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Experience with big data processing frameworks, such as Apache Spark, is a plus.
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Verification notes
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