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Software Architect

🕒 October 8

đŸ‡ș🇾 United States – Remote

đŸ’” $185.4k - $231.8k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

đŸ§‘â€đŸ’» Full-stack Engineer

đŸ‘» Ghost score 0%

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Logo of DraftKings Inc.

DraftKings Inc.

1001 - 5000 employees

Founded 2012

🎼 Gaming

⚜ Sports

đŸ‘„ B2C

Gaming ‱ Sports ‱ B2C

DraftKings Inc. is a global company known for providing innovative products and experiences primarily in the sports betting and fantasy sports sectors. The company boasts a strong presence across multiple countries, aiming to deliver exceptional customer moments and overcoming challenges through teamwork and persistence. At DraftKings, innovation in engineering, analytics, and product development is key, with a focus on creating unforgettable customer experiences in sportsbook and casino operations. The company emphasizes a dynamic work culture, inclusion, equity, and global collaboration within its diverse teams.

📋 Description

‱ Define and evolve architectural solutions improving performance, scalability, reliability, and operations ‱ Own the exchange technical roadmap and architecture for major domain initiatives ‱ Maintain shared foundations, system boundaries, core patterns, and data contracts ‱ Drive consistency in technologies and patterns across exchange services ‱ Partner with Product, Infrastructure, Platform, partner engineering teams, brokers, market makers, and clearing partners ‱ Contribute hands-on to prototypes, proofs of concept, and production systems ‱ Set performance and reliability targets and lead load and resilience testing before peak events ‱ Guide teams on distributed-system patterns, fault tolerance, observability, and operational readiness ‱ Own operational health using automation and AI tooling to detect and prevent problems ‱ Support incident resolution and turn lessons into recurring-failure fixes ‱ Identify and pursue platform cost-efficiency opportunities ‱ Conduct design reviews and provide technical guidance ‱ Mentor engineers on architecture and effective AI-tool usage ‱ Identify, measure, and scale valuable AI applications in the domain ‱ Set guardrails for AI-assisted work ‱ Align architectural decisions with business priorities and long-term platform strategy

🎯 Requirements

‱ Professional software engineering experience ‱ Significant experience designing and evolving large-scale distributed systems in production ‱ Experience with fast, high-volume transactional or event-driven systems where accuracy matters as much as speed ‱ Background in exchanges, trading, payments, or other financial systems is a strong advantage ‱ Extensive knowledge of messaging and streaming systems ‱ Hands-on Kafka expertise is a strong advantage ‱ Understanding of distributed state management, data splitting and sharding, in-memory versus durable storage, and consistency trade-offs ‱ Understanding of microservices architecture, containerization, and orchestration ‱ Comfort working across Go and .NET/C# stacks ‱ Familiarity with FIX, gRPC, and Protobuf ‱ Experience integrating with third-party systems ‱ Working knowledge of relational and NoSQL databases ‱ Proficiency with continuous integration and delivery, infrastructure as code, observability tooling, load testing, and capacity projections ‱ Practical experience using AI tools in production, including coding assistants, agents, automated review, and analysis ‱ Ability to evaluate the economics of AI-based approaches versus building or buying ‱ Exposure to regulated software environments, including auditability, data sensitivity, and compliance ‱ Clear, structured communication and ability to document decisions and influence technical and non-technical audiences ‱ Interest in mentoring engineers and raising engineering standards

đŸ–ïž Benefits

‱ Bonus ‱ Equity ‱ Benefits as applicable ‱ Gaming license guidance if relevant to the role

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