Develop, implement and scale Starlink Network Operations processes and tools to provide global internet access
Collect and analyze operations data to identify and implement efficiency improvements for operational processes and workflows and translate it into reporting, and recommendations for the development team
Collaborate with development teams to analyze the impact of proposed workflow or process changes on operations health and efficiency
Work with development engineering teams to drive design for operations, identifying and addressing potential operational scaling issues early in development lifecycles and incorporating debugging tools and strategies to ensure effective handover to operations
Interact with key stakeholders to identify their desired outcomes, take their inputs and deliver improvements to Network Operations owned processes
Work with the diverse teams across the Starlink program to develop monitoring, detection and response processes that drive quick resolution to emergent network events
Define and develop projects, milestones, and maintain roadmaps, practicing flexible prioritization and scope management to deliver on program directives
Take extreme ownership of deliverables and make risk-conscious decisions under pressure
Own data integrity, tool & dashboard maintenance, and reporting quality for the Network Operations Engineering Team
Define and develop department-level metrics and associated dashboards that quantify the health of our operations
Qualification
Bachelor’s degree in a STEM disciplineExperience with PythonProficiency with statistics
Required
Bachelor’s degree in a STEM discipline; OR 2+ years of professional experience in software development or data analysis in lieu of a degree
Experience utilizing SQL or other query language for data analysis
Experience with Python
Preferred
2+ years of experience developing software, analysis, processes, or projects in a rapidly changing, highly demanding environment with ability to run these projects independently
Strong design and problem-solving skills, with a focus on operations at scale
Proficiency with statistics, data analysis, data visualization and cost benefit analysis
Understanding of data engineering regarding the design and implementation of systems used for collecting, storing and analyzing large volumes of data
Experience with operational open-source technologies such as Prometheus, Grafana, PostgreSQL, Spark SQL, PowerBI, Jupyter, Datahub and AirFlow
Ability to work cross-functionally with operations, engineering and supply chain teams
Experience creating detailed documentation and procedures from scratch
Experience in optimizing and automating operational processes and workflows
