обновлено 12 дней назад
Senior Engineer, Invest Tech (AI)
135 000 - 145 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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 office
Salary: $135,000–$145,000 per year, plus incentive pay
Company
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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