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Design and build the orchestration, planning, and evaluation systems for Dropbox Dash's AI platform while collaborating with multiple teams to ensure reliable performance at scale.
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Fintech • HR Tech • Payments • Financial Services
Develop and enhance backend features, collaborate with cross-functional teams, and ensure scalable and secure APIs while focusing on customer-centric experiences.
Top Skills:
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Contribute to Spotify's monorepo migration by developing tools and infrastructure, solving integration challenges, and enhancing internal platforms.
Top Skills:
Google Cloud PlatformJavaKubernetes
- Design and implement robust backend systems to support advanced security operations on our AI-driven platform, including real-time data processing, alert management, and automated response mechanisms.
- Develop and maintain scalable services and APIs that integrate with various security tools and platforms, ensuring seamless data flow and functionality across our AI agents.
- Collaborate with frontend developers and product teams to build cohesive solutions that enhance AI capabilities and user experience.
- Optimize backend services for performance and efficiency, utilizing techniques such as caching, data indexing, and query optimization, tailored for high-demand AI applications.
- Lead the creation of technical documentation and architectural designs, facilitating a clear understanding of backend systems and their interactions within a complex, AI-driven platform.
- You have extensive experience in backend development, with proficiency in programming languages such as Python, Java, or Go.
- Demonstrated experience with building and maintaining data pipelines and data infrastructure, focusing on efficiency and scalability.
- Strong background in semantic modeling, data architecture, and data integration, essential for optimizing the performance and accuracy of AI applications.
- Familiarity with server, network, and hosting environments, including cloud services like AWS, Azure, or GCP, and container orchestration technologies such as Kubernetes and Docker.
- Proven track record of building and maintaining high-availability systems that can handle large-scale data processing and complex business logic, particularly in AI-driven platforms.
- Strong understanding of database management, both SQL and NoSQL, and the ability to design efficient schemas and optimize queries for performance.
What you need to know about the Chicago Tech Scene
With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.
Key Facts About Chicago Tech
- Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
- Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
- Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
- Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory
