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ΠΎΠ±Π½ΠΎΠ²Π»Π΅Π½ΠΎ 6 мСсяцСв Π½Π°Π·Π°Π΄

Technical Lead & Manager (AI)

291Β 250 - 341Β 250CAD
Π€ΠΎΡ€ΠΌΠ°Ρ‚ Ρ€Π°Π±ΠΎΡ‚Ρ‹
hybrid
Π’ΠΈΠΏ Ρ€Π°Π±ΠΎΡ‚Ρ‹
fulltime
Π“Ρ€Π΅ΠΉΠ΄
lead
Английский
b2
Π‘Ρ‚Ρ€Π°Π½Π°
Canada
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
Technical Lead & Manager (AI): Leading the technical strategy and execution for the Bedrock AI Platform team to build backend services for user-facing applications with an accent on reliability, availability, and scalability. Focus on designing high-throughput, low-latency systems and mentoring a diverse engineering team to deliver high-quality implementations.

Salary: CA$291,250 – CA$341,250

Company

Snowflake is a high-growth AI data cloud company powering the era of the agentic enterprise.

What you will do

  • Own the technical strategy and execution, driving projects from initial formulation to deployment.
  • Provide deep technical oversight through design reviews, architecture discussions, and complex system implementations.
  • Set the bar for engineering excellence and coding best practices as a subject matter expert.
  • Mentor and coach engineers and grow the team through proactive hiring.
  • Collaborate with Product Management to translate user needs into clear technical roadmaps.
  • Lead improvements in engineering processes, tooling, and standards to increase efficiency and velocity.

Requirements

  • 9+ years of experience designing and building large-scale user-facing production systems.
  • 3+ years of experience managing and leading teams building mission-critical, high-throughput, low-latency systems.
  • BS/MS/PhD in Computer Science or related majors, or equivalent experience.
  • Strong collaboration and communication skills.
  • Must be based in Toronto, Ontario for hybrid work.

Nice to have

  • Extensive development experience in cloud environments such as AWS, Azure, and GCP.

Culture & Benefits

  • AI-native environment where AI is treated as a high-trust collaborator.
  • Experimental mindset with a focus on rapidly testing emerging capabilities.
  • Low-ego, dynamic, and fast-moving work culture.
  • Opportunity to help redefine the future of how work gets done in a high-growth company.

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†’