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DraftKings Inc.

Software Architect

DraftKings Inc.

. Define and evolve architectural solutions improving performance, scalability, reliability, and operations .

Posted 10/8/2026full-timeRemote • United StatesMid-LevelSenior💰 $185,400 - $231,800 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and evolving large-scale distributed systems, with a strong focus on performance, scalability, and reliability. Proficient in leveraging AI tools for operational health and mentoring engineering teams on architectural best practices.

Highest-signal resume keywords
Large-Scale Distributed Systems DesignKafka ExpertiseMicroservices ArchitectureAI Tool IntegrationFinancial Systems Knowledge

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Software EngineeringDistributed State ManagementData Splitting and ShardingContainerizationOrchestrationRelational DatabasesNoSQL DatabasesContinuous Integration and DeliveryLoad TestingCapacity Projections
Soft Skills
Clear CommunicationMentoring EngineersStructured Documentation
Tools & Technologies
KafkaFIXGRPCProtobufAI Tools
Industry Keywords
ExchangesTradingPaymentsFinancial SystemsRegulated Software Environments

Tech Stack

Tools & technologies
Distributed SystemsGRPCKafkaMicroservicesNoSQLGo.NET

About the role

Key responsibilities & impact
  • 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

What you’ll need
  • 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

Benefits

Comp & perks
  • Bonus
  • Equity
  • Benefits as applicable
  • Gaming license guidance if relevant to the role