Senior Site Reliability Engineer

Globalstar Updated•Covington, LA

16d

About The Position

Globalstar is seeking a Senior Site Reliability Engineer to strengthen the reliability, performance, and on-call depth of its large-scale monitoring and data platform. The platform provides real-time and historical visibility into the health of critical satellite and ground infrastructure. This hands-on role spans infrastructure engineering, data pipeline reliability, monitoring strategy, and operational excellence, helping the organization scale its monitoring and analytics capabilities while keeping them fast, cost-efficient, and dependable. The role involves owning and improving a high-volume operational data pipeline, evaluating and integrating monitoring and data-platform tools, maintaining deterministic checks for alerting and data quality, and supporting production operations and disaster recovery. The engineer will partner with operations, engineering teams, leadership, and other stakeholders to improve workflows, plan capacity, prioritize investments, communicate tradeoffs, and develop the team's institutional knowledge. The position has no supervisory responsibilities. The employee may need to travel and work outside regularly scheduled hours. The job involves prolonged computer work, operating job-related equipment, and occasionally lifting up to 15 pounds. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions of the job.

Requirements

At least 7 years of experience 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, including streaming or event-driven data pipelines, large-scale storage systems, and analytical query engines.
Proficiency in at least one systems programming language, such as Go or Java, used for backend or data services.
Practical production experience with observability and monitoring tools for metrics, logs, traces, and alerting.
Demonstrated on-call experience, including incident response, root-cause analysis, and clear postmortem writing.
Familiarity with infrastructure-as-code and modern CI/CD or GitOps practices.
Strong communication skills and ability to explain technical tradeoffs to engineers and non-technical stakeholders.
Excellent verbal and written communication skills, including clear and concise interaction with departments and management at all levels.
Excellent organizational skills and attention to detail.
Ability to meet multiple deadlines in a fast-paced environment.
Ability to manage time effectively and prioritize tasks.
Ability to act with integrity, professionalism, and confidentiality.
Proficiency with Microsoft Office.
Familiarity with NetSuite.
Willingness and ability to travel as needed.
Willingness and ability to work after regularly scheduled hours as needed.
Ability to sit at a desk and work on a computer for prolonged periods of 4 to 8 hours.
Ability to operate the equipment used for the job.
Ability to lift 15 pounds at times.

Nice To Haves

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

Responsibilities

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 open-source and commercial monitoring, alerting, and data-platform tools; assess build-versus-buy tradeoffs and lead pilots when useful.
Design and maintain rules-based, deterministic checks used by operational teams 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 with operations and other engineering teams.
Partner with engineering leadership and other stakeholders to plan capacity, prioritize investments, and communicate tradeoffs clearly, including to non-technical audiences.
Champion infrastructure-as-code and automated deployment practices across the platform.
Mentor other engineers and build institutional knowledge so the platform is not dependent on any single individual.
Perform other job-related duties requested by the supervisor.