AI-native intelligence for finance. Parlay modernizes the credit ecosystem with enterprise-grade technology that turns fragmented data into compounding value. Backed by Techstars.
About the role
This is a role for an engineer who wants to own things - not just deliver them. You will take complex technical initiatives from design through to production, work across a high-performing distributed team, and have real influence over the architecture and practices of a platform used by millions of people every day. The problems here are not manufactured. They are the kind that come from operating at genuine scale in a real-time, mission-critical environment. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- You have 5+ years of professional software development experience with strong Java expertise
- You can design and deliver distributed systems in production, and you understand what it takes to keep them running
- You take ownership of complex initiatives independently - from architecture decisions to post-incident reviews
- You mentor others naturally and perform technical reviews that are direct, constructive, and useful
- You have a deep understanding of testing strategy, CI/CD, and what engineering excellence looks like in practice
- You communicate clearly with technical and non-technical stakeholders and know how to land a difficult message
More about this role
We’re the world’s leading sports technology company, at the intersection between sports, media, and betting. More than 1,700 sports federations, media outlets, betting operators, and consumer platforms across 120 countries rely on our know-how and technology to boost their business.
The Live Data unit is responsible for the development, delivery, and global distribution of real-time sports data across a diverse range of sporting events. Through strong partnerships with rights holders, media organizations, and betting companies worldwide, the unit ensures the seamless provision of accurate, high-quality data across 30+ different sports disciplines, including e-sports.
Our international team develops and maintains a range of advanced platforms to integrate, manage, and analyse data from multiple sources.
In-Game Pipeline – a system for collecting source data, either manually captured by scouts during events or generated through AI-driven computer vision technology.
Prediction Markets – a system focus on reducing any latency and providing the ultra fast feed crafted for the client needs.
This is a role for an engineer who wants to own things - not just deliver them. You will take...
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