Location: Orlando, FL
Pay Rate: $18/HR
The team is specific to Orlando FL Facility (333 S. Garland Ave, Orlando, FL 32801).
This team is nearly 100% remote but an onsite team meeting may be required rarely.
Candidates must be local to the Orlando area or be within a 30 mile radius to the Orlando Facility Address.
Entry level role, on par with an internship level role. No prior professional experience is required or expected.
Candidates must have completed HS / GED and ideally (per manager) are currently pursuing a Bachelors or Masters in Computer Science/Data Science or equivalent field.
Manager willing to consider candidates who recently completed their BA / MA in a Technology related Degree but as this is on-par with an internship role the ideal would be candidates currently in pursuit of their BA or MA.
Role is part time, 20 hours per week.
No set schedule as Leadership will be as flexible as possible in case chosen candidate is a College student with weekly classes.
Job Description:
Build and operate the infrastructure that enables observability of critical assets across the organization. Client foundational components and expand the team's AI and ML capabilities.
Learn and apply industry best practices and modern development and operations techniques such as CI/CD, IaC, DevOps, containerization, cloud and serverless architecture.
Submit quality contributions to various code, configuration, and knowledge bases and review the contributions of others.
Participate in team practices such as: planning, retrospectives, peer review, working sessions, POCs, etc.
Enable data driven and proactive decisions through:
Collaborating with other teams to understand their systems.
Collecting and analyzing logs, metrics, and traces from a wide range of infrastructure, applications, networks, and other sources.
Deriving insights from data by creating alerts, reports, and visualizations that are interactive and clear.
Apply debugging and troubleshooting skills to determine the root causes of issues in systems and resolve them.
Skills:
Aptitude for learning new technologies
Proactive with their work
Analytical and critical thinker
Excellent verbal and written communication
Team mindset: respects the time of others, communicates openly, asks questions, and takes pride in their work, looks for opportunities to improve the team
You are by no means expected to be an expert in the following technical areas, simply eager and curious. Any previous exposure in these areas is a plus:
Data processing and visualization
Scripting, automation, and DevOps
Developing and working in the cloud
Education:
Currently pursuing a Bachelors or Masters in Computer Science/Data Science or equivalent field
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