Cloud Management Dashboard Intern

Cloud Management Dashboard Intern page is loaded## Cloud Management Dashboard Intern locations:
Sioux Falls, South Dakota time type:
Full time posted on:
Posted 24 Days Agojob requisition :
R2118605
*
* Title:

** Cloud Management Dashboard Intern
** BELONG. CONNECT. GROW. with K .
** Around here, we define the future. We are a company of innovators, thinkers, creators, explorers, volunteers, and dreamers. But we all share one goal: to improve the world responsibly and safely.
** Role Overview
** At K , we are dedicated to advancing technology and providing innovative solutions to our clients. We are looking for a talented and motivated individual to join our team and help us lead the way in hybrid environment instrumentation at an enterprise scale.

As part of K , you will have the opportunity to develop and enhance the tools and dashboards that are crucial for the success of various teams, including Dev Ops, Security, and Systems Administration/Engineering. Your contributions will directly impact how we manage and monitor complex systems, ensuring efficiency and security across our operations.

This is a hands-on role where you’ll develop how hybrid environments are instrumented at enterprise scale and contribute code and dashboards that are used by real teams (Dev Ops, Security, Systems Administration/Engineering).
** Three years of continuous U.S. residency required    
**** Responsibilities
* * Data Ingestion & Integration
* Write scripts and REST/API calls to collect data from cloud accounts as well as on premises sources such as Kubernetes and vCenter.
* Write scripts and REST/API calls to collect cost and security information to aggregate and process.

Aggregation & Processing
* Normalize disparate data (metrics, events, billing, security findings) and publish to a centralized data location for display.
* Implement basic ETL steps: shape, label, and enrich data to support drill‑downs and multi‑tenant views.

Dashboards & Visualization
* Build dashboards that show high‑level health/capacity and enable drill‑down to specific services, clusters, nodes, or costs.
* Performance, Security, and Cost  + Track SLIs/SLOs (latency, availability, saturation), security posture (e.g., misconfigurations, vulnerabilities), and cloud/on-prem costs.  + Prototype recommendations/remediation hints (e.g., right‑sizing, idle resource cleanup, patch drift).
** Minimum Qualifications
*** Currently pursuing a degree in Computer Science, Information Systems, Data Science, or related field.
* Foundational knowledge of AWS (can identify common services/resources; understands Cloud Watch/Cloud Trail concepts).
* Comfortable writing scripts in to call REST/JSON APIs, or to scrape and process data.
* Basic exposure to Kubernetes (pods, services, name spaces) and Prometheus/Grafana (metrics, queries, panels).
* Familiarity with Linux, containers, and Git-based workflows.
* Strong problem-solving, curiosity, and willingness to learn enterprise tooling.
* ** Three years of continuous U.S. residency required    
**** Primary Tools & Technologies
** Metrics & Visualization
* Prometheus – Metrics collection and alerting (can integrate with AWS workloads)
* Grafana – Dashboarding and visualization (including Amazon Managed Grafana)
* Amazon Cloud Watch – Metrics, logs, dashboards, and alarms

AWS Services
* Cloud Watch – Core observability (metrics, logs, dashboards)
* Cloud Trail – API activity tracking
* AWS Config – Resource compliance and configuration history
* Cost Explorer / CUR (Cost & Usage Reports) – Cost monitoring and optimization
* AWS X-Ray – Distributed tracing for applications
* AWS Open Search Service – Log aggregation and search
* AWS Distro for Open Telemetry (ADOT) – Instrumentation for metrics and traces Languages
* Python – Automation, data processing, API integration
* Power Shell – Windows-based automation (if applicable)
Automation / IaC
* Terraform – Infrastructure as Code
* AWS Cloud Formation – Native IaC
* Git Hub / Git Lab – Version control and CI/CDAPIs / ETL
* REST / JSON – API integration
* AWS SDKs (boto3 for Python) – AWS automation and data extraction
* Lightweight ETL – For transforming Cloud Watch/Cost data into dashboards
** Three years of…