• Investigation & Root Cause Analysis Own end-to-end investigation of ad-hoc technical issues raised by product, operations, or engineering teams. • Diagnose data integrity problems by tracing issues across event streams, APIs, and database layers. • Analyse Kafka event histories to reconstruct system state and identify where data diverged from expected behaviour. • Produce clear root cause analysis (RCA) documentation that explains what happened, why, and how to prevent recurrence. • Data Analysis & Resolution Write complex SQL queries against production and staging databases to investigate data anomalies, gaps, and inconsistencies. • Validate proposed fixes in lower environments before escalating to production resolution recommendations. • Use REST APIs to probe system state, trigger reprocessing workflows, and verify expected outputs. • Collaborate closely with software engineers to understand system internals and escalate findings with sufficient context for developers to act. • Produce concise, structured investigation reports suitable for both technical and non-technical audiences. • Maintain a knowledge base of known issues, recurring patterns, and resolution playbooks.

• Own the technical design for large, ambiguous, open-ended problems that span the Variant Knowledge Platform and the broader interpretation stack • Define and evolve the data models for variant identity, classification, and annotation • Design production-grade, versioned REST API contracts • Lead the evolution of the systems that turn raw bioinformatic data into trustworthy variant- and sample-level information • Drive the architecture for automating evidence placement and classification • Define org-wide system architectures • Lead cross-team technical programs • Set the strategy for system operability • Lead large-scale data migration and backfill efforts • Mentor and level up engineers across multiple teams • Partner with cross-functional stakeholders to identify business opportunities

Title: Principal AI Platform Engineer Location: Virtual Job Description: #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: Are you a builder at heart who wants to shape how an entire engineering organization works with AI? We are looking for a Principal Software Engineer to help build TradeStation’s AI Platform from the ground up: the MCP gateway, AI portal, identity layer, and agentic flows that every other engineering team builds on. This is a deeply hands-on role for someone who codes the hardest problems themselves, sets the technical bar for the platform, and thrives where there is no pre-existing blueprint to follow. You will turn emerging AI capabilities into secure, reliable, reusable infrastructure that measurably accelerates how we ship software and serve our clients. What You’ll Be Doing: - Architect and hands-on build the core of the AI Platform: the MCP gateway, AI portal and skills marketplace, identity brokering layer, and agentic execution flows that the rest of engineering builds on - Take a hands-on approach to code the most complex or ambiguous solutions and set the technical bar for the platform - Design secure-by-default integrations between internal systems and AI agents, with proper authentication, authorization, RBAC, and audit logging - Build the telemetry and observability that make AI usage and spec-driven development measurable across the organization - Partner with engineering teams across the firm to turn their workflows into reusable skills, MCP servers, and agentic routines - Establish patterns, guardrails, and golden paths so teams can adopt AI tooling quickly, safely, and within governance standards - Champion best practices in software development, testing, and deployment, and ensure the scalability, reliability, and performance of platform services in a Kubernetes and DevOps environment - Continuously evaluate emerging models, frameworks, and agent patterns and fold the useful ones into the platform The Skills You Bring: - Deep, hands-on experience building and operating production backend services and developer platforms; you are a builder first - Mastery of 2 or more modern general-purpose programming languages, such as Python and TypeScript. Experience with Go or C# is a plus. - Strong understanding of REST API design, GraphQL (building and consuming), and microservices architecture - Hands-on experience with cloud platforms (e.g., AWS) and container orchestration tools (e.g., Docker, Kubernetes) - Experience building on or integrating with large language models and agentic systems: tool and function calling, the Model Context Protocol (MCP), retrieval, and evaluation - Solid grounding in identity and access management (OAuth2 / OIDC, SSO, RBAC); experience with Keycloak, Entra ID, or Auth0 is a strong plus - Familiarity with scripting and automation (e.g., Bash, PowerShell) and with CI/CD pipelines and infrastructure as code (e.g., GitLab CI, Helm) - Comfort operating in ambiguity and an enthusiastic willingness to creatively solve problems for which there is no pre-existing blueprint - Excellent communication skills and the ability to influence and collaborate with engineers across diverse teams - Embraces AI as a core part of the daily workflow and a partner in problem-solving Minimum Qualifications: - Bachelor’s degree or equivalent work experience - Minimum 7 years of relevant software engineering experience - Demonstrated experience designing and building platform, infrastructure, or backend services used by other engineering teams Desired Qualifications: - Hands-on experience building LLM-powered or agentic applications (MCP servers, tool-calling agents, retrieval / RAG) - Python and/or TypeScript / Node development experience - Identity and access management experience (Keycloak, Entra ID, or Auth0; OAuth2 / OIDC) - Cloud architecture and deployment (AWS, EKS); hands-on Docker or Kubernetes experience - Experience with observability and telemetry tooling - Financial services or brokerage domain experience 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) $155-175K (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

Role Description Client is seeking a Senior Platform Engineer to help build a next-generation enterprise integration platform from the ground up. This team is leading a strategic initiative to re-platform away from MuleSoft and establish a scalable, cloud-native integration ecosystem built on modern microservices architecture. This role is focused on building the platform that enables integrations—not developing the integrations themselves. You will design and develop the foundational services, SDKs, observability capabilities, workflow orchestration, and platform tooling that enable internal teams to rapidly integrate with enterprise systems such as Salesforce, SAP, Coupa, and Kinaxis. The platform is currently in early infancy, MVP stage. - Design, build, and enhance core platform services using Python and microservices architectures. - Develop reusable SDKs, wrappers, and platform capabilities that accelerate integration development. - Build and support platform components including: - Event streaming and messaging (Kafka) - API management and governance - Secrets and configuration management - Observability, monitoring, and telemetry solutions - Workflow orchestration capabilities - Drive platform reliability, performance, and operational excellence. - Contribute to OpenTelemetry implementation and observability strategy. Qualifications - 7+ years of software engineering experience with strong Python development expertise. - Experience building cloud-native applications and microservices platforms. - Hands-on experience with Kafka or other event-driven architectures. - Strong understanding of API design, API gateways, and integration platform concepts. - Experience with monitoring, observability, and telemetry tooling such as Grafana and OpenTelemetry. - Knowledge of secrets management, configuration management, and platform security best practices. - Experience building developer-facing platforms, frameworks, SDKs, or shared engineering services. - Strong understanding of scalability, resiliency, and distributed systems design. Company Description