3 Π΄Π½Ρ Π½Π°Π·Π°Π΄
Production Support Engineer (Google Cloud)
48 - 55$
ΠΡΡΡ & Π‘ΠΎΠΏΡΠΎΠ²ΠΎΠ΄
ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
Π’Π΅ΠΊΡΡ:
TL;DR
Production Support Engineer (Google Cloud): Maintaining and improving large-scale data pipelines and analytics services in a cloud environment with an accent on production reliability, observability, and data integrity. Focus on monitoring batch and streaming workloads, diagnosing complex incidents, performing root cause analysis, and automating operational support processes.
Location: On-site in Austin, TX or Southlake, TX
Salary: USD $48.08β$55.29 per hour, plus bonus or incentive opportunities
Company
provides financial services and technology supporting investing, financial planning, finance, risk, and brokerage operations.
What you will do
- Maintain the operational health and production reliability of enterprise data platforms in Google Cloud.
- Monitor and support batch and streaming workloads, ETL processes, data pipelines, and analytics services.
- Diagnose complex production issues, perform root cause analysis, and drive timely resolution.
- Improve observability, monitoring, alerting, incident response, and operational resilience.
- Build automated and scalable support processes that improve data availability, integrity, and performance.
- Collaborate with data engineering, platform engineering, and business stakeholders on production readiness.
Requirements
- Bachelorβs degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
- 2β3+ years of experience in production support, operations, or reliability engineering within data analytics, data engineering, or data warehouse environments.
- Hands-on experience with cloud data platforms and services such as BigQuery, Dataflow, Pub/Sub, and Airflow or equivalent tools.
- Experience supporting ETL or data pipeline workloads in production and using SQL for analysis, validation, and troubleshooting.
- Working knowledge of Python or scripting languages, job scheduling and orchestration tools, CI/CD workflows, monitoring, alerting, and incident management.
- Ability to troubleshoot complex issues, perform root cause analysis, and drive resolution in a timely manner.
Nice to have
- Experience in financial services or regulated environments, including data governance and operational controls.
- Experience implementing automation and operational tooling to reduce manual intervention.
- Exposure to cloud observability, monitoring, and reliability engineering at scale.
- Experience collaborating with cross-functional engineering and business teams.
Culture & Benefits
- In-office collaboration with workplace flexibility through a hybrid work approach.
- 401(k) with company match and employee stock purchase plan.
- Paid vacation, volunteering time, and a 28-day sabbatical after five years for eligible positions.
- Paid parental leave and family-building benefits.
- Tuition reimbursement and medical, dental, and vision insurance.
ΠΡΠ΄ΡΡΠ΅ ΠΎΡΡΠΎΡΠΎΠΆΠ½Ρ: Π΅ΡΠ»ΠΈ ΡΠ°Π±ΠΎΡΠΎΠ΄Π°ΡΠ΅Π»Ρ ΠΏΡΠΎΡΠΈΡ Π²ΠΎΠΉΡΠΈ Π² ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡ iCloud/Google, ΠΏΡΠΈΡΠ»Π°ΡΡ ΠΊΠΎΠ΄/ΠΏΠ°ΡΠΎΠ»Ρ, Π·Π°ΠΏΡΡΡΠΈΡΡ ΠΊΠΎΠ΄/ΠΠ, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡΠ΅ ΡΡΠΎΠ³ΠΎ - ΡΡΠΎ ΠΌΠΎΡΠ΅Π½Π½ΠΈΠΊΠΈ. ΠΠ±ΡΠ·Π°ΡΠ΅Π»ΡΠ½ΠΎ ΠΆΠΌΠΈΡΠ΅ "ΠΠΎΠΆΠ°Π»ΠΎΠ²Π°ΡΡΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡΠΈΡΠ΅ Π² ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΡ. ΠΠΎΠ΄ΡΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β
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