Sr. Director, Java Solutions Architecture jobs in United States
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TradeStation · 3 hours ago

Sr. Director, Java Solutions Architecture

TradeStation is an online brokerage firm focused on delivering an ultimate trading experience for active traders and institutions. They are seeking a Senior Director of Solutions Architecture to lead the development of a next-generation Order Management System and risk platform, ensuring high-quality code and architectural integrity while integrating AI into workflows.

Financial Services
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H1B Sponsor Likelynote

Responsibilities

Drive and validate overall architectural vision for the new OMS and supporting risk and account systems
Ensure solutions are cloud-native, horizontally scalable, extensible, and designed for high availability
Lead technical due diligence and code reviews on vendor partners’ Java deliverables
Define best practices for API design, integration logic, and secure coding
Architect reusable interfaces for integrating AI tools into SDLC workflows (e.g., code review automation, performance modeling)
Set standards for Java and backend code quality, including performance, maintainability, and test coverage, and apply AI/ML techniques
Champion automation in build (CI/CD pipelines), code review, and regression testing
Guide adoption of observability, traceability, and 'shift-left' testing practices in the SDLC lifecycle
Oversee vulnerability management, secure coding, and compliance with financial industry regulations
Apply AI/ML techniques to reduce manual effort in design validation, test coverage analysis, and defect prediction
Evaluate and integrate AI tools into CI/CD pipelines and developer workflows
Act as technical SME/advisor for integration with TradeStation’s frontend platforms, market data feeds, and regulatory systems
Translate complex business requirements, NFRs (non-functional requirements), and operational constraints into actionable architecture and design patterns
Mentor embedded engineering team members and foster knowledge transfer between TradeStation and vendor teams to build long-term internal talent
Define standards and templates for deployment, monitoring, and incident response
Proactively identify architectural risks (i.e., data consistency, performance bottlenecks, scalability limits, 'black box' vendor exposures)
Ensure system meets regulatory and client SLAs (99.99% uptime, incident-free trading, high-throughput, and low-latency for market hours)
Build playbooks for production cutover, fallback, vendor support handoff, and disaster recovery
Collaborate with product and engineering teams to identify opportunities for AI-driven enhancements across the new OMS platform, including predictive risk analytics, intelligent order routing, anomaly detection, and operational automation
Architect scalable interfaces for integrating ML models and AI services into real-time trading workflows, ensuring performance, security, and regulatory compliance
Champion responsible AI practices and help define the roadmap for leveraging AI in future asset class expansion and client-facing capabilities

Qualification

JavaCloud deploymentsMicroservicesAPI designAI/ML techniquesPostgreSQLApache KafkaKubernetesDockerSecurity best practicesLeadershipCollaborationMentoringProblem-solving

Required

Hands-on track record as a solution architect overseeing large-scale cloud deployments (AWS preferred), microservices, stateful event-driven architectures, and real-time data pipelines
Deep knowledge of Java performance optimization (GC tuning, thread/async management, JVM diagnostics)
Extensive experience with relational and distributed (Postgres, Redis, Kafka) database design and tuning
Strong background in API (REST/gRPC/FIX) design, security best practices, and observability (Prometheus, Grafana, ELK/OpenSearch)
Proven leadership in code reviews, setting coding/architecture standards, and driving test automation
B.S. or higher in Computer Science, Engineering, or related field
10+ years in software engineering with a majority on complex, mission-critical Java backend systems (preferably financial trading/OMS)

Preferred

Familiarity with margin/risk models, order workflow, and post-trade processing for brokers is a strong asset
Exposure to Kubernetes multi-region architecture, hybrid deployment (cloud/on-prem) preferred
Involvement in open-source contributions, especially in cloud, market data, or risk analytics preferred
Experience applying AI/ML techniques to backend systems for risk modeling, anomaly detection, or operational efficiency preferred
Knowledge regulatory and compliance frameworks for financial transaction systems preferred

Benefits

Collaborative work environment
Competitive Salaries
Yearly bonus
Comprehensive benefits for you and your family starting Day 1
Unlimited Paid Time Off
Flexible working environment
TradeStation Account employee benefits, as well as full access to trading education materials

Company

TradeStation

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Welcome to the home of those who were born to trade! We empower natural-born traders to hone their strategies with an advanced platform & brokerage services.

H1B Sponsorship

TradeStation has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
2022 (1)
2020 (1)

Funding

Current Stage
Late Stage

Leadership Team

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John Bartleman
Chief Executive Officer, TradeStation Crypto, Inc.
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Michael Fisch
Chief Technology Officer
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Company data provided by crunchbase