Specialist, Software Engineering (AWS Cloud)

Job description

Job Title: Specialist, Software Engineering (AWS Cloud) Job Code: 43381 Job Location: Melbourne, FL Job Schedule: 9/80 (Every other Friday off) Job Description: The GGSS Cloud team leverages Cloud Service Providers (AWS, Microsoft Azure, Google Cloud) in delivering modern solutions to support customer operations and information management services. We value a strong knowledge of software development best practices and experience delivering & deploying Cloud-ready applications and services. Seeking experienced Software Engineers to join our dynamic team, focusing on operating, maintaining, and sustaining an AWS cloud operational system. Essential Functions: Monitor and implement updates from AWS and third-party suppliers Maintain and enhance our Kubernetes-based cloud architecture Utilize Python, Java or C++ programming languages Support Identity and Access Management (IAM) solutions including single sign on, active directory, or Keycloak Assist in cloud migration of applications Write and maintain comprehensive documentation for developers, administrators, and operators Ensuring consistency across the baseline (version tagging, naming schemes) Leverage networking principles and security best practices in an AWS cloud environment Design and code new software or modify existing software to add new features Ability to obtain a High-Risk NOAA Public Trust clearance. Qualifications: Bachelor’s Degree and minimum 4 years of prior relevant experience. Graduate Degree and a minimum of 2 years of prior related experience. In lieu of a degree, minimum of 8 years of prior related experience. Experience developing and deploying containerized applications using Docker, Podman, Kubernetes, or equivalent. Experience with Linux environments, including scripting, configuration, and software deployment. Experience with configuration management (Ansible, Chef, Puppet) and Infrastructure as Code tools (Terraform, CDK, OpenTofu, Cloud Formation). Preferred Additional Skills: Familiarity with Agile workflow tools and collaborative version‑control practices (Git, JIRA, Confluence, etc.) Experience with container observability tools such as Prometheus, PromQL, and Grafana Experience with Helm charts and Kubernetes package management Experience with monitoring and logging solutions (Splunk, CloudWatch, etc.) Experience with iterative software development processes (Agile, SCRUM, Kanban) AWS Certified Solutions Architect – Associate Certified Kubernetes Administrator (CKA) AWS Certified DevOps Engineer – Associate #LI-KB1