Назад
Company hidden
7 часов Π½Π°Π·Π°Π΄

Senior Software Engineer - Cloud Data Platform (Spark)

148Β 000 - 222Β 000$
Π€ΠΎΡ€ΠΌΠ°Ρ‚ Ρ€Π°Π±ΠΎΡ‚Ρ‹
hybrid
Π’ΠΈΠΏ Ρ€Π°Π±ΠΎΡ‚Ρ‹
fulltime
Π“Ρ€Π΅ΠΉΠ΄
senior
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

ВСкст:
/
TL;DR
Senior Software Engineer - Cloud Data Platform (Spark): Building and operating scalable, multi-tenant cloud-native data platform components and real-time analytics pipelines processing billions of events with an accent on Spark, public cloud, and secure data engineering. Focus on optimizing distributed data processing, delivering AI/ML-powered SaaS services, and ensuring reliability and operational excellence at internet scale.

Location: Hybrid role based in San Mateo, California, United States

US base salary: $148,000–$222,000 per year, plus potential bonuses and long-term incentive awards.

Company

hirify.global provides a cloud platform combining digital, core, analytics, and AI capabilities for property and casualty insurers in 40 countries.

What you will do

  • Design, build, and operate scalable, multi-tenant cloud-native data platform components.
  • Develop and optimize real-time data pipelines and analytics services processing billions of events.
  • Deliver secure, reliable, and high-performance data products for analytics, data science, and business applications.
  • Drive cloud engineering, data security, operational excellence, and platform reliability practices.
  • Collaborate with product, operations, and cross-functional teams to launch features and support customer success.
  • Mentor engineers and contribute to GenAI and automation initiatives across the data platform.

Requirements

  • 8+ years of experience as a software engineer in data platform or data engineering teams.
  • Advanced experience with Spark, preferably EMR, and Java and/or Scala.
  • Experience with modern Big Data technologies including Kafka, Hadoop, Flink, and Hive.
  • Track record building and operating large-scale cloud-native data platforms or analytics SaaS services on AWS, Azure, or GCP.
  • Strong problem-solving, collaboration, communication, security, scalability, and reliability engineering skills.
  • Commitment to operational excellence, customer-centricity, and applying AI to improve productivity and innovation.

Culture & Benefits

  • Flexible work environment with a hybrid setup.
  • Health, dental, and vision insurance, wellness benefits, paid time off, and volunteer time off.
  • Company-sponsored retirement plan and market-competitive pay and incentive programs.
  • Continual development and internal career growth opportunities.
  • In-person orientation for all new hires.

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†’