FundGuard is the new generation investment accounting utility for asset managers and their service providers. Our cloud-native, AI-powered operating system and technology platform are transforming investment operations. FundGuard existentially changes asset servicing to enable reduced fees and the ability to offer new and innovative products, including crypto-asset services, at scale, today and tomorrow.
The company is led by an experienced team and has raised more than $57 million, backed by strategic partners including Citi and State Street Corp, venture firms Blumberg Capital, LionBird Ventures, and Team8 Capital among others.
We offer an exciting work opportunity where you’ll develop one of the more robust enterprise applications with deep financial engines, while using cutting edge cloud technologies.
What will you be doing?
- Working directly on customer requirements developments - delivering production-grade code
- Work closely with our onboarding team to research and design new product capabilities supporting strategic customer relations
- Solving complex technical challenges based on customers’ use case
- Collaborate with other engineering teams to design end-to-end solutions that fit seamlessly into our core system
Requirements:
- Solid proficiency (3+ years) in modern Java with Spring
- Financial services industry operations or software experience
- Technical and functional knowledge of enterprise investment accounting software
- Experience developing large, scalable, distributed information systems using microservices architecture
- Mastery of high-performance, reentrant and efficient code
- Competency working with state of the art source control management and CI tools
- Computer Science degree(s) from leading institutions
- Good communication skills with the ability to work effectively both independently and as part of a team
- Working three-four days a week onsite in our Boston office
- Periodical travel to our office in Israel
Nice to have skills:
- Spring (boot) proficiency
- Experience with AWS frameworks such as Kafka, Cassandra, Redis, Elasticsearch, and S3
- Familiarity with “supporting” languages like Python, shell scripting
- Experience with open-source frameworks such as Docker, Kubernetes, Prometheus, and Grafana