TradeStation

Title: Senior Software Development Engineer In Test Location: Remote #WeAreTradeStation Who We Are: TradeStation is the home of those born to trade. As an online brokerage firm and trading ecosystem, we are focused on delivering the ultimate trading experience for active traders and institutions. We continuously push the boundaries of what's possible, encourage out-of-the-box thinking, and relentlessly search for like-minded innovators. At TradeStation, we are building an AI-First culture. We expect team members to embrace AI as a core part of their daily workflow, whether that’s using AI to accelerate development, enhance decision-making, improve client outcomes, or streamline internal processes. We hire, grow, and promote people who can harness AI responsibly and creatively. We treat AI as a partner in problem-solving, not just a tool; following our governance standards to ensure AI is used ethically, securely, and transparently. If you join us, you’re joining a culture where AI is how we work. What We Are Looking For: The Software Development Engineer in Test is an engineer who is focused on quality. The candidate will assist us in continuous integration by championing a high level of quality in our deliverables and by developing/designing test frameworks, fixtures, and practices. What You’ll Be Doing: - Testing of complex web applications and web API's - Test plan creation, automation and execution - Document and track program defects - Participate in code reviews - Provide continuous integration test support - Provide guidance to the rest of the team on designing for testability - Create and manage automated testing suites - Create, automate, and execute test plans that generate artifacts to validate proper functioning of the app, and also provide quality-related metrics - Research and apply emerging test tools, trends and methodologies - Must have a passion for analysis and testing - Strong technical skills and raw intellectual ability - Ability to turn requirements into tests - Strong organization and prioritization skills - Demonstrated oral and written communication skills and the ability to adapt and learn The Skills You Bring: - Cloud native technologies in AWS or Azure, including Kubernetes - Broad knowledge of JavaScript both in the browser and in NodeJS - Web technologies (JavaScript, HTML, CSS, HTTP, REST, WebSocket, etc.) - Web application debug tools (Curl, Fiddler, Wireshark, Chrome Developer Tools, etc.) - Understanding of C# and .NET & .NET Core - Practical asynch programming & multithreading experience - Moderate database experience (i.e. Sql Server, NoSQL, Redis) - Experience testing Web sites and/or RESTful services on a Microsoft stack (ASP.NET, Javascript, JSON, HTML, IIS) - One or more scripting languages suitable for automation such as Bash or Python - Continuous build integration tools (GitLab CI, Azure DevOps, etc.) - Familiarity with containerization software such as Docker - Agile Development preferred - Test Driven Development (TDD) preferred - Brokerage/trading platform experience preferred - Real-time low latency streaming preferred - Distributed Source Control tools (Git, Mercurial) preferred - Cloud architecture and deployment (AWS or Azure) preferred - Multiple programming languages preferred - Oauth 2.0 preferred - Experience with Visual Studio preferred Minimum Qualifications: - Bachelor’s degree or equivalent work experience - 3-5 years application testing or developing What We Offer: - 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 #LI-Remote

#WeAreTradeStation Remote Position - must reside Florida, Texas, Illinois, New York, New Jersey, Alabama, Arizona, Arkansas, Colorado, Connecticut, Delaware, Georgia, Indiana, Kansas, Massachusetts, Missouri, North Carolina, Tennessee, Utah or Wisconsin Who We Are: TradeStation is the home of those born to trade. As an online brokerage firm and trading ecosystem, we are focused on delivering the ultimate trading experience for active traders and institutions. We continuously push the boundaries of what's possible, encourage out-of-the-box thinking, and relentlessly search for like-minded innovators. At TradeStation, we are building an AI-First culture. We expect team members to embrace AI as a core part of their daily workflow, whether that’s using AI to accelerate development, enhance decision-making, improve client outcomes, or streamline internal processes. We hire, grow, and promote people who can harness AI responsibly and creatively. We treat AI as a partner in problem-solving, not just a tool; following our governance standards to ensure AI is used ethically, securely, and transparently. If you join us, you’re joining a culture where AI is how we work. Are you ready to make yourself at home? What We Are Looking For: We are looking for a Sr. Manager, Software Engineering to lead the build-out of TradeStation's next-generation API platform. This is a pivotal role: our APIs are the front door for every client application, third-party integration, and AI-powered experience we deliver. This role will own the strategy and execution to establish TradeStation as the leader in trading APIs — creating the developer experience that drives adoption, increases trade revenue, and enables an ecosystem of innovators to build on our platform. The team will design, build, and operate API products spanning REST, GraphQL, gRPC, and emerging protocols like MCP (Model Context Protocol) to power AI agents and agentic workflows. Internally, this role will drive the adoption of gRPC as our high-performance service communication standard. Externally, this role will champion a world-class developer experience — from API design and documentation to SDKs, sandbox environments, and developer portal capabilities. This Sr. Manager will partner closely with Product Management, who owns the product roadmap and prioritization, while the Sr. Manager owns the technical vision, architecture, and engineering execution. The Sr. Manager, Software Engineering, will work with group Architects and cross-functional partners to drive technical innovation and optimize your team's performance in a fast-moving business and technical environment. This role will provide leadership for Technical Leads and software development teams, participate in technology management planning sessions, coordinate execution with the enterprise architecture vision, and communicate with executive leadership. The successful candidate will develop a deep understanding of API consumers — both internal teams and external developers — to drive design decisions, execute product roadmaps, and act as the evangelist for TradeStation's API platform. This role offers a unique opportunity to shape a critical growth vector for the company while leading a talented group of highly dedicated engineers. What You’ll Be Doing: - Serve as an inspirational and outcome-driven leader — execution and follow-up is everything - Own the technical strategy and technical roadmap for TradeStation's API platform, spanning REST, GraphQL, gRPC, and AI-native protocols (MCP), partnering with Product Management on product strategy and prioritization - Drive API-first design principles across the organization, ensuring consistency, discoverability, and developer ergonomics across all API surfaces - Foster a developer-experience (DX) mindset: treat external and internal API consumers as customers, obsess over documentation quality, onboarding friction, and time-to-first-call - Lead the adoption of gRPC as the internal high-performance service protocol, establishing patterns, tooling, and best practices for teams across the organization - Define and enforce API governance standards including versioning, deprecation policies, rate limiting, authentication/authorization patterns, and SLA management - Collaborate closely with Product Management, Business, and executive stakeholders to translate business objectives into technical execution plans that drive trade revenue and platform adoption - Manage cloud-native infrastructure strategy on AWS and Kubernetes, optimizing for reliability, performance, and cost efficiency - Champion psychological safety within the team environment, modeling it and insisting on it as a core value - Select, assess, develop, mentor, manage, and retain top technical talent - Effectively manage people, including planning, assigning, and directing work; evaluating performance, addressing complaints, and resolving problems - Ensure knowledge sharing among the team to avoid information silos and address key-staff risks - Continuously refine development processes to improve overall performance and reduce friction to delivery - Mange and maintain Agile practices and track team performance based on outcomes - Clear roadblocks for teams to ensure delivery focus - Participate in business planning and communicate technical knowledge of vision for both current and future API products The Skills You Bring: - Superior understanding and execution of organizational goals and objectives - Strong presentation skills, excellent written and oral communication skills - Strong technical depth and raw intellectual ability - Deep expertise in API design, architecture, and lifecycle management across multiple paradigms (REST, GraphQL, gRPC, WebSockets) - Strong understanding of API gateway and management platforms (e.g., Kong, Apigee, AWS API Gateway) and service mesh technologies - Hands-on understanding of Protocol Buffers, OpenAPI/Swagger specifications, and schema-first API design - Strong knowledge of cloud-native architectures, AWS, Kubernetes, and container orchestration - Solid understanding of authentication and authorization patterns for APIs (OAuth 2.0, API keys, JWT, mTLS) - Strong understanding of Agile development methodologies, DevOps, continuous delivery, and related concepts - Experience with resource allocation and personnel management - Must be a team player that is assertive, passionate, and goal-oriented - Solid organization and prioritization skills - Ability to work in a fast-paced environment with the ability to pivot and adapt as needed - Strong understanding of software design principles and patterns - Expertise and demonstrated experience in systems design, development, implementation, and deployment processes - Demonstrated ability to make decisions regarding necessary team size and composition - Strong pattern recognition abilities to identify abstractions and processes that drive team success - Development background with proficiency in modern programming languages commonly used for API development (Go, Rust, TypeScript/Node.js, Python); hands-on coding is not required but the ability to evaluate technical tradeoffs and review architecture decisions is essential - Experience in the brokerage or financial services industry, especially building APIs for trading or market data preferred - Experience designing and operating developer portals, SDKs, and API documentation platforms preferred - Knowledge of AI/ML integration patterns for APIs, including function-calling interfaces, streaming responses, and agent-to-API communication (e.g., MCP, tool-use protocols) preferred - Experience with high-throughput, low-latency API systems serving real-time financial data preferred - Understanding of regulatory requirements for API access controls, data distribution, and audit logging in financial services preferred - Track record of growing API adoption and measuring developer experience through metrics (TTFB, error rates, adoption funnels) preferred - Experience with infrastructure as code and automating deployments in cloud-native environments preferred - Familiarity with service mesh architectures (Istio, Linkerd) and observability stacks for distributed API systems preferred Minimum Qualifications: - BS in Computer Science or related technical discipline, or equivalent work experience - 7+ years of relevant team management and leadership experience in high-performance, business-critical environments What We Offer: - 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 - Pay Range (US) $174-189K (Countries outside of the US have differing ranges in accordance with local labor markets) TradeStation provides equal employment opportunities to current and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, sexual orientation, age, pregnancy, disability, handicap, citizenship, veteran or marital status, or any other legally recognized status entitled to protection under federal, state, or local anti-discrimination laws. #LI-Remote

Driving AI strategy within the Information Security department with a focus on leveraging AI technologies to augment or replace existing security technologies designed to protect TradeStation and its customers Enabling TradeStation to rapidly adopt and leverage AI technologies across the enterprise while protecting sensitive data, TradeStation’s infrastructures, and our customers Understanding existing and emerging AI-based security threats and recommending/designing appropriate countermeasures at all levels including networking, application, and others Serving as a subject matter expert on AI technologies including LLM’s, MCP’s, development tools and workflows, used across the TradeStation enterprise and recommending / implementing appropriate security controls as well as advising stakeholders across the organization on security-related AI matters Identify current security controls, processes, and technologies that may be improved through migration to AI-based tooling Recommend appropriate changes and lead initiatives for measurable improvement Educate, mentor, and advise other members of the Security team on the implementation, management, and use of new security AI tooling Design, test, and implement strategies to address malicious activity that leverages AI for complex and time-sensitive attack methods Build AI-assisted SOC / detection enablement, applying AI technologies to security operations Develop and deliver security metrics and trend data to assist the organization’s understanding of overall AI security risk Serve as a trusted advisor to multiple stakeholders, both technical and nontechnical, across the company in protecting information as we rapidly adopt new AI technologies Identify risks associated with internal AI usage and recommend appropriate controls Perform risk assessments on proposed AI initiatives and technologies Provide expertise to product and development leadership on AI security aspects of customer-facing AI technologies Evaluate AI tools, APIs, and vendors for security posture before adoption (e.g., data retention policies, model access controls, terms of service risk) Monitor evolving AI threat landscape (prompt injection, jailbreaking, model poisoning, adversarial inputs) and translating findings into actionable guidance for the team Enforce controls to prevent sensitive/regulated data (PII, PCI, trading data) from being inadvertently exposed through AI prompts or tools Draft and maintain AI-specific security policies and acceptable use standards (this is distinct from general GRC work and fits the role well) Maintain awareness of what AI tools are in use across the enterprise, including unsanctioned/shadow AI, and developing a process to manage it A strong information security knowledge foundation including security principles, frameworks, risk mitigation, etc. Strong understanding of artificial intelligence concepts, technologies, and methods including, but not limited to: large language models (LLM’s) such as Claude, ChatGPT, and others, AI-based development tools such as CoPilot and others, model context protocol (MCPs), and their application to information security programs, as well as AI risk mitigation Familiarity with OWASP Top 10 for LLMs / MITRE ATLAS Familiarity with API security, specifically around MCP and LLM integration Hands-on prompt engineering / security testing experience with knowledge of how attacks against AI technologies both in theory and in practice Experience leveraging AI technologies to improve efficiency, reduce risk, and enhance security operations Operational excellence: Strong project management mindset with exceptional organizational skills and attention to detail Autonomy and judgment: Ability to work independently, make sound decisions, and know when to escalate or seek guidance Follow-through: Proven track record of driving initiatives to completion and following up with stakeholders on assigned tasks Communication skills: Excellent written and verbal communication skills, including the ability to facilitate meetings, document complex topics clearly, and interact professionally with all organizational levels AI proficiency: Demonstrated ability to leverage AI tools to enhance work quality, accelerate tasks, and solve problems creatively Risk assessment & documentation: Ability to support or conduct security risk assessments, document risk details clearly, and track remediation activities to closure Incident response familiarity: Understanding of incident response processes, documentation requirements, and the coordination needed to support response and post-incident activities Collaboration: Ability to work effectively across IT, Compliance, ERM, and business units to achieve shared objectives Adaptability: Comfortable operating in dynamic environments where priorities shift and requirements evolve Problem Solving: Practical problem-solving approach that balances process with pragmatism Strong proficiency with Microsoft Office, collaboration tools (Jira, Confluence, SharePoint), and project management practices Must have a passion for information security and AI, a strong desire to learn and apply new knowledge Working knowledge of cloud security in AWS and Azure environments preferred Experience in financial services, fintech, or other highly regulated industries preferred Familiarity with Agile, SDLC, and CI/CD concepts preferred Knowledge of incident response frameworks and processes preferred Demonstrated progression toward a security career path and willingness to pursue relevant certifications preferred Bachelor's degree in Information Technology, Computer Science, Information Security, or related field; OR equivalent combination of relevant education, training, and experience Minimum 7 years professional experience in information security in hands-on roles such as security engineering and/or application security Must be located within the US states of Florida, Texas, Illinois, New York, New Jersey, Colorado, Idaho, Massachusetts, Michigan Minnesota, Missouri, North Carolina, South Carolina, Utah, or Virginia Must be able to work core US Eastern Time hours as well as other times as needed Ability to travel to company offices, including international offices, or other locations occasionally as needed for meetings, training, to perform work tasks, etc. One or more industry-recognized security certifications: CISSP, CISM, CISA, CRISC, Security+, CASP+, CySA+, GAISE or other GIAC certifications preferred Collaborative work environment Competitive Salaries Yearly bonus Comprehensive benefits for you and your family starting Day 1 Flexible Paid Time Off Remote working environment TradeStation Account employee benefits, as well as full access to trading education materials Pay Range (US) $170-190K (Countries outside of the US have differing ranges in accordance with local labor markets)

We're seeking a technical Product Manager of Enterprise Data to execute TradeStation's data strategy and ensure our enterprise data foundation powers decision-making across the organization. This role will partner with data engineering, data scientists, and data analysts to deliver high-quality, governed, and accessible data products that enable analytics, AI, and business operations. Own the data product lifecycle — define roadmaps, write requirements, and deliver data products, pipelines, and platforms that meet business and technical needs Write production-grade SQL queries and Python scripts to validate data quality and build data solutions Partner with data engineering to design and optimize data models, pipelines, and workflows in Databricks Establish and manage data governance frameworks — including data classification, quality standards, lineage tracking, and access controls Define and manage data quality KPIs — track completeness, accuracy, timeliness, and consistency; drive continuous improvement initiatives Ensure compliance with regulatory requirements and internal policies for data handling and security Drive self-service analytics adoption — build documentation, training, and support structures that enable stakeholders to access and use data effectively Collaborate with Product, Analytics, and business teams to understand data needs and translate them into scalable platform capabilities Evangelize data best practices and platform capabilities across the enterprise Contribute to data strategy and roadmap planning aligned with business priorities Report measurable outcomes — communicate progress on data initiatives tied to adoption, quality improvements, and business impact Stay current on data platform trends, tools, and best practices to keep TradeStation's data capabilities competitive