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20 часов назад

Manager, Software Engineering, Data Platform (Blockchain)

195 000 - 236 667$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior/lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Manager, Software Engineering, Data Platform (Blockchain): Building and operating Circle’s data platform for production data ingestion, orchestration, warehousing, BI, real-time monitoring, and AI-agent access with an accent on data correctness, governance, and self-service infrastructure. Focus on leading senior engineers, designing agentic data capabilities, enforcing access controls and auditability, and operating reliable high-scale platform services.

Location: Remote within the United States; listed locations include San Francisco, California and other U.S. states and territories

Base pay range: $195,000–$236,667 annually

Company

hirify.global is an internet financial platform company building digital asset, payment, stablecoin, and programmable blockchain infrastructure, including USDC, hirify.global Payments Network, and Arc.

What you will do

  • Own the vision, architecture, and roadmap for ingestion, orchestration, warehouse, BI, and real-time data services.
  • Manage, coach, hire, and grow senior data platform engineers and develop senior individual contributors into technical leaders.
  • Lead AI-agent management, guardrails, evaluation standards, and agentic access to governed data.
  • Curate and govern training, fine-tuning, and evaluation datasets with provenance, labeling, versioning, access controls, and reproducibility.
  • Build self-service platform capabilities, data quality controls, SLOs, data contracts, lineage, and automated validation.
  • Operate reliable production services through design reviews, code reviews, incident response, cost planning, vendor upgrades, and cross-functional collaboration.

Requirements

  • 4+ years managing software engineers, including hiring, performance management, coaching, and senior individual-contributor development, plus 6+ years in data, ML, and/or platform engineering.
  • Hands-on experience building and operating warehouse, orchestration, streaming, or ingestion platforms at scale; experience with BigQuery, Airflow, Pub/Sub, Kafka, Iceberg, or equivalents.
  • Experience defining data SLOs, building validation that detects real problems, and improving architecture when data is incorrect, late, or untrusted.
  • Experience building or leading LLM-based or agentic data systems, including natural-language analytics, semantic layers, pipeline agents, or evaluation frameworks within data access controls.
  • Experience designing platforms adopted by other teams, reducing bespoke requests, and measuring adoption.
  • Track record of owning high-impact platform projects end to end with successful releases.
  • Recent hands-on technical work involving code and design review, difficult pipeline or warehouse debugging, prototyping, or production development.
  • Strong written and verbal communication with analysts, scientists, engineers, finance partners, and leaders.
  • Understanding of model training and evaluation, including training and fine-tuning corpora, labeled evaluation sets, data versioning, label-noise prevention, leakage prevention, and distribution-drift measurement.

Nice to have

  • Blockchain data experience at scale, including indexing networks, chain reorganizations, balance reconciliation, and near-real-time on-chain monitoring.
  • Experience in fintech, crypto, payments, or another regulated environment with auditability, restricted data handling, and operational controls.
  • Streaming and stateful processing experience for transaction-centric, low-latency monitoring.
  • Familiarity with data catalog and lineage tools, cloud-warehouse access governance, and shared-compute cost attribution.
  • Experience with Python, Go, or Java services and agent frameworks or protocols such as LangGraph or MCP.
  • Experience leading a geographically distributed team.

Culture & Benefits

  • Flexible work environment with an emphasis on transparency, integrity, future-focused thinking, and excellence.
  • Remote work is available within the listed United States locations.
  • Compensation varies based on experience, skills, qualifications, business needs, and location.
  • Equal-opportunity workplace with accommodations available during the interview process.

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