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Hawk-Eye Innovations · 21 hours ago

Baseball Technical Operations Coordinator

Atlanta, GA

Full-time

Onsite

Entry Level

$55K/yr - $60K/yr

1+ years exp

Hawk-Eye Innovations is looking for a motivated Technical Operations Engineer to join their Baseball Technical Operations Team. In this role, you will build, test, and maintain Python-based applications used in the MLB StatCast System while supporting live operations with your technical expertise.

SoftwareSports

No H1B

Responsibilities

Ideate, develop, and maintain a small library of Python applications used to improve both product and process for daily operations, as well as Google AppScript automations

Provide technical expertise to our daily operations, assisting with system management, resolving live issues, and preparing future systems for operation

Testing new features and applications, driving improvements to both product and process, and developing new tools and tactics to improve daily operations and delivery

Investigate, address, and communicate resolutions to internal and external stakeholders, working closely with internal teams and the UK development team

Keep internal documentation up to date and accurate; work cross-functionally to share knowledge and improve our training materials and resources

Support our Operations, Accounts, and Implementation teams by being a dependable technical resource during calibrations, live operations, and installations

Begin our push to integrate the Hawk-Eye and KinaTrax Tech Ops team by overlapping time with our KinaTrax counterparts in assistance with weekly tasks and objectives

Qualification

PythonGoogle AppScriptQuick LearnerComputer KnowledgeProblem-SolvingExposure to tracking systemsDjangoBasic SQL understandingExposure to GitFrontend technologies knowledgeOther development tools knowledge

Required

Base Knowledge of Python: A solid understanding of Python syntax, data types (strings, lists, dictionaries), and loops

Base Knowledge of Google AppScript: A solid understanding of AppScript syntax, data types (strings, lists, dictionaries), and functions

Practical Experience: At least one or two personal projects, internships, or a portfolio (GitHub) that demonstrates your ability to build functional scripts or basic applications

Problem-Solver: A logical mindset and the ability to break down complex problems into smaller, manageable tasks

Willingness to Learn: A proactive attitude toward learning new libraries, frameworks, and projects

Quick Learner: Ability to tackle a steep learning curve, learning the ins and outs of complex applications quickly

Strong Computer Knowledge: A strong foundation in computer and technical skills, being able to navigate Windows machines and Operating Systems with ease