Senior Site Reliability Engineer

Globalstar pioneered personal safety by introducing its SPOT Satellite GPS Messenger in 2007. Today, leveraging its low-earth orbit (LEO) satellite constellation, Globalstar reliably connects and protects assets, transmits key operational data, and saves lives – from any location – for consumers, industrial companies and government agencies in over 120 countries. With a portfolio that includes SPOT GPS messengers, next-generation IoT products and modems, and cloud-based telematics solutions, Globalstar’s cost effective satellite-powered innovations give users visibility and intelligence for improving safety and operational efficiencies.

Globalstar runs a large-scale monitoring and data platform that gives our organization real-time and historical visibility into the health of critical satellite and ground infrastructure. We are looking for a Senior Site Reliability Engineer to strengthen its reliability, performance, and on-call depth.

This is a broad, hands-on role spanning infrastructure engineering, data pipeline reliability, monitoring strategy, and operational excellence. This individual helps the organization scale a growing monitoring and analytics capability while keeping it fast, cost-efficient, and dependable.

• →None

• →Own the health and performance of a large-scale data and monitoring pipeline that ingests, stores, and serves high volumes of operational data.
• →Continuously improve system performance, cost-efficiency, and scalability as data volume and usage grow.
• →Evaluate, adopt, and integrate monitoring, alerting, and data-platform tools — both open-source and commercial — assessing build-vs-buy tradeoffs and leading pilots where useful.
• →Design and maintain the rules-based, deterministic checks that operational teams rely on for critical alerting and data-quality assurance.
• →Lead or contribute to incident response, on-call rotations, root-cause analysis, and postmortems for production systems.
• →Support disaster-recovery planning and execution, including regional failover exercises and recovery validation.
• →Assess current workflows and data practices, identify gaps, and drive phased improvement plans in partnership with operations and other engineering teams.
• →Partner with engineering leadership and other stakeholders to plan capacity, prioritize investments, and communicate tradeoffs in clear, non-technical terms when needed.
• →Champion infrastructure-as-code and automated deployment practices across the platform.
• →Mentor other engineers and help build institutional knowledge so the platform isn't dependent on any single individual.

• Excellent verbal and written communication skills, including the ability to interact clearly and concisely with all departments and levels of management
• Excellent organizational skills with attention-to-detail
• Ability to meet multiple deadlines in a fast-paced environment
• Ability to effectively manage time and prioritize tasks
• Ability to act with integrity, professionalism, and confidentiality
• Proficiency with Microsoft Office
• Familiarity with NetSuite

• 7+ years in Site Reliability Engineering, Platform Engineering, Data Engineering, or a closely related discipline, operating production systems at meaningful scale.
• Strong experience with modern data infrastructure: streaming or event-driven data pipelines, large-scale storage systems, and analytical query engines.
• Proficiency in at least one systems programming language (e.g., Go, Java, or similar) used for backend/data services.
• Practical experience with observability and monitoring tooling (metrics, logs, traces, alerting) in a production environment.
• Demonstrated on-call experience: incident response, root-cause analysis, and clear postmortem writing.
• Comfort with infrastructure-as-code and modern CI/CD or GitOps practices.
• Strong communication skills — able to explain technical tradeoffs to both engineers and non-technical stakeholders.

• Experience operating a data or monitoring platform at large scale (multi-terabyte-per-day or higher).
• Familiarity with multi-region or disaster-recovery architectures.
• Familiarity with SQL database queries preferred
• Familiarity with AWS data pipeline tools (S3, Kinesis, Kinesis Analytics, etc)
• Background evaluating and integrating third-party or commercial monitoring/data platform tools.
• Experience in industries with high-cardinality sensor, IoT, or infrastructure telemetry.

• Willingness and ability to travel as needed
• Willingness and ability to work after regularly scheduled hours as needed
• Ability to sit at a desk for prolonged periods working on a computer (4 to 8 hours)
• Ability to operate the equipment used for the job
• Ability to lift 15 pounds at times
• Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions of this job

A review of this job description may have omitted some of the marginal functions of the position that are incidental to the performance of the job duties and responsibilities.  This job description, in no way, states or implies that these are the only duties and/or responsibilities to be performed by the employee in this position.  The employee in this position will be required to follow any other job-related instructions and to perform any other job-related duties requested by his/her supervisor.