Principal Cloud Engineer

Fidelity•Westlake, TX

About The Position

Designs and develops software applications and deploys APIs in the cloud through automation, with integrated security and testing. Coordinates and operates an Open Telemetry platform to provide reliable and secure access to logs, metrics, and traces across a hybrid cloud environment using AWS and Rancher. Instruments, generates, collects, and exports telemetry data to analyze software performance and behavior. Develops cloud applications using IaaS and PaaS capabilities, and deploys dashboards and monitors on Datadog. The role participates in architecture design, defines and implements application-level architecture, and develops applications for complex projects, components, and subsystems. It supports project planning and delivery across multiple platforms, advises on technical strategy and risk, resolves project and technology issues with business units, and mentors junior team members.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent), and five years of experience as a Principal Cloud Engineer or in a closely related occupation implementing continuous automation for AWS cloud workloads using CI/CD orchestration tools, EKS, Vault, Artifactory, and GitHub; alternatively, a relevant master’s degree (or foreign education equivalent) and three years of that experience.
  • Demonstrated expertise collaborating with architecture teams and stakeholders on application migration and onboarding strategies to AWS and Kubernetes.
  • Demonstrated expertise reviewing operational readiness assessments and coordinating standardized production best practices and processes using GitHub, CloudBees Jenkins, Artifactory, HashiCorp Vault, and OpenTofu in regulated enterprise contexts.
  • Demonstrated expertise building applications in Python and Go, automating build and release processes using Sonar static analysis and Artifactory, automating deployment and configuration using Shell scripting and IaC (Terraform or OpenTofu), and enabling observability using Datadog and Splunk in multi-account AWS environments.
  • Demonstrated expertise designing and developing cloud-native services and deploying them to AWS (EKS, Lambda, EC2, and API Gateway) and Kubernetes in containerized production environments.
  • Demonstrated expertise building dashboards containing metrics and logs for applications deployed in AWS.
  • Demonstrated expertise building and integrating applications using Amazon DynamoDB and using Amazon S3 for object storage.
  • Demonstrated expertise working with Application Load Balancer, Network Load Balancer, and AWS PrivateLink networking components.
  • Demonstrated expertise participating in disaster recovery activities for applications.

Responsibilities

  • Participate in architecture design teams.
  • Define and implement application-level architecture.
  • Develop applications for complex projects, components, and subsystems.
  • Recommend development testing tools and methodologies, and review and validate test plans.
  • Ensure software deliverables are ready for QA.
  • Develop comprehensive documentation for multiple applications or subsystems.
  • Establish full project life-cycle plans for complex projects across multiple platforms.
  • Meet project goals on time and within budget.
  • Advise on project risk assessment and risk management strategies.
  • Plan and coordinate schedules and assignments for multiple projects.
  • Serve as a primary liaison for business units to resolve project and technology issues.
  • Provide technology solutions for daily issues and technical evaluation estimates for technology initiatives.
  • Advise senior management on technical strategy.
  • Mentor junior team members.
  • Perform independent and complex technical and functional analysis for multiple projects.
  • Develop original technical solutions for ongoing development efforts.
  • Coordinate and operate an Open Telemetry platform across a hybrid AWS and Rancher environment.
  • Instrument, generate, collect, and export telemetry data to analyze software performance and behavior.
  • Develop cloud applications using IaaS and PaaS capabilities, and deploy Datadog dashboards and monitors.
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