2 Π΄Π½Ρ Π½Π°Π·Π°Π΄
Staff Software Engineer, Metadata
183Β 000 - 245Β 000$
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
Staff Software Engineer, Metadata (Python/GraphQL): Building and evolving metadata services for a modern data platform, including discovery APIs, catalogs, lineage, and run history, with an accent on distributed systems, cloud infrastructure, and data reliability. Focus on designing major subsystems, solving complex scalability and performance challenges, and providing technical leadership through architecture reviews, mentoring, and operational ownership.
Location: Remote, California, United States
Salary: $183,000β$245,000 USD per year
Company
Builds data infrastructure that helps organizations move, transform, discover, and trust data across modern analytics and AI environments.
What you will do
- Lead the design and delivery of complex projects across metadata services, coordinating work across multiple engineers.
- Design new subsystems and own team-level architecture end to end.
- Set technical direction, review designs, and uphold engineering, architecture, and coding standards.
- Drive initiatives across discovery API, catalog, lineage, and run history capabilities.
- Coach and mentor engineers while improving code quality and documentation practices.
- Optimize critical services, follow through on incidents, improve reliability and performance, and participate in on-call rotation.
Requirements
- 8+ years of software engineering experience, including leadership of complex, team-scope technical work.
- Deep experience designing and owning subsystems in distributed, cloud-based systems.
- Strong architecture judgment, technical direction skills, and experience leading multi-engineer initiatives.
- Proficiency in a backend or systems language such as Python, Java, C++, or C#.
- Hands-on experience with AWS, GCP, or Azure, plus Docker, Kubernetes, and development infrastructure.
- Fluent use of AI coding assistants, coding agents, and conversational AI for software development and SDLC artifacts.
Nice to have
- Experience with ETL, ELT, or cloud-based data platforms.
- Experience architecting metadata, catalog, lineage, discovery, or search systems.
- Experience with GraphQL APIs and high-throughput, multi-tenant data services.
- Familiarity with analytics engineering and the dbt ecosystem.
Culture & Benefits
- Fully remote work with a distributed workforce.
- Employer-paid medical insurance.
- Paid time off, sick leave, parental leave, holidays, volunteer days, and a global week of rest.
- RSU stock grants and professional development opportunities.
- Mental health support, monthly cell phone stipend, and virtual team-building activities.
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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