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Senior Engineer, Invest Tech (AI)

135 000 - 145 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Engineer, Invest Tech (AI): Building data engineering workflows, platform services, APIs, microservices, and cloud-native applications for ETF portfolio construction, trading, analytics, and operational workflows with an accent on Python, SQL, AWS, distributed systems, and AI-assisted development. Focus on designing resilient event-driven architectures, optimizing large-scale data processing, and improving reliability, observability, and production support.

Location: Boston, Massachusetts, United States; hybrid with at least four full days per week in an hirify.global office

Salary: $135,000–$145,000 per year, plus incentive pay

Company

hirify.global is a global investment management firm providing investment strategies and vehicles to clients worldwide.

What you will do

  • Design, build, and support data engineering workflows and platform services for the ETF Vision platform and model delivery ecosystem.
  • Develop Python services, APIs, microservices, and data pipelines supporting portfolio analytics, optimization, and investment workflows.
  • Build data ingestion, transformation, validation, routing, and large-scale ETL processes using PostgreSQL, SQL Server, and related platforms.
  • Design and operate distributed, event-driven, and cloud-native architectures using Kafka and AWS services.
  • Establish CI/CD, testing, monitoring, logging, data lineage, observability, and reliable deployment practices.
  • Partner with portfolio managers, quantitative researchers, and business teams while participating in production support and on-call rotation.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, Data Science, Statistics, or a related field.
  • 3+ years of software or data engineering experience and 3+ years of hands-on Python and SQL experience.
  • Strong knowledge of data modeling, pipelines, validation, lineage, error handling, APIs, and service-based architecture.
  • Experience with AWS, containerized environments, distributed systems, event-driven architecture, CI/CD, DevOps, and automated testing.
  • Daily fluency with AI-assisted development tools, including evaluating and correcting AI-generated code for security, performance, and maintainability.
  • Portfolio analytics, risk models, asset management, or investment workflow experience is preferred.

Nice to have

  • Professional credentials such as CFA, CPA, CIPM, CAIA, or FRM.
  • Advanced education from a top-tier institution.

Culture & Benefits

  • Hybrid workplace model requiring at least four full days per week in the office.
  • Flexible paid time off and parental leave benefits.
  • Health and wellbeing benefits.
  • 401(k) matching of 100% up to the first 6%, with a discretionary supplemental contribution.
  • Employee stock purchase plan.

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