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3 дня назад

Production Support Engineer (Google Cloud)

48 - 55$
Π€ΠΎΡ€ΠΌΠ°Ρ‚ Ρ€Π°Π±ΠΎΡ‚Ρ‹
onsite
Π’ΠΈΠΏ Ρ€Π°Π±ΠΎΡ‚Ρ‹
fulltime
Π“Ρ€Π΅ΠΉΠ΄
middle
Английский
b2
Π‘Ρ‚Ρ€Π°Π½Π°
US
Вакансия ΠΈΠ· списка Hirify.GlobalВакансия ΠΈΠ· Hirify Global, списка ΠΌΠ΅ΠΆΠ΄ΡƒΠ½Π°Ρ€ΠΎΠ΄Π½Ρ‹Ρ… tech-ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΉ
Для мэтча ΠΈ ΠΎΡ‚ΠΊΠ»ΠΈΠΊΠ° Π½ΡƒΠΆΠ΅Π½ Plus

ΠœΡΡ‚Ρ‡ & Π‘ΠΎΠΏΡ€ΠΎΠ²ΠΎΠ΄

Для мэтча с этой вакансиСй Π½ΡƒΠΆΠ΅Π½ Plus

ОписаниС вакансии

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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 $48.08–$55.29 per hour, plus bonus or incentive opportunities

Company

hirify.global 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

  • Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
  • 2–3+ 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.

Π‘ΡƒΠ΄ΡŒΡ‚Π΅ остороТны: Ссли Ρ€Π°Π±ΠΎΡ‚ΠΎΠ΄Π°Ρ‚Π΅Π»ΡŒ просит Π²ΠΎΠΉΡ‚ΠΈ Π² ΠΈΡ… систСму, ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΡƒΡ iCloud/Google, ΠΏΡ€ΠΈΡΠ»Π°Ρ‚ΡŒ ΠΊΠΎΠ΄/ΠΏΠ°Ρ€ΠΎΠ»ΡŒ, Π·Π°ΠΏΡƒΡΡ‚ΠΈΡ‚ΡŒ ΠΊΠΎΠ΄/ПО, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡ‚Π΅ этого - это мошСнники. ΠžΠ±ΡΠ·Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎ ΠΆΠΌΠΈΡ‚Π΅ "ΠŸΠΎΠΆΠ°Π»ΠΎΠ²Π°Ρ‚ΡŒΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡˆΠΈΡ‚Π΅ Π² ΠΏΠΎΠ΄Π΄Π΅Ρ€ΠΆΠΊΡƒ. ΠŸΠΎΠ΄Ρ€ΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β†’