Headquartered in Plantation, Florida; Tradestation is an online brokerage company dedicated to making money work harder. Established in 1982, Tradestation has grown through the yea
Sr. Manager, Software Engineering - API
Location
United States + 2 moreAll locations: United States | Georgia | India
Posted
50 days ago
Salary
$174K - $189K / year
Seniority
Lead
No structured requirement data.
Job Description
Sr. Manager, Software Engineering - API
TradeStation
#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
Related Guides
Related Categories
Related Job Pages
More Engineering Manager Jobs
Staff Engineering Manager GitHub CoPilot API
GitHub, Inc.GitHub is the world’s leading AI-powered developer platform with 150 million developers and counting. We’re also home to the biggest open-source community on earth (and 99% of the world’s software has open-source code in its DNA). Many of the apps and programs you use every day are built on GitHub. Our teams are dreamers, doers, and pioneers, leading the way in AI, driving humanitarian efforts around the globe, and even sending open source to Mars (and beyond!). At GitHub, our goal is to create the space you need to do your best work. We’re remote-first and offer competitive pay, generous learning and growth opportunities, and excellent benefits to support you, wherever you are—because we know that people flourish when they can work on their own terms. Join us, and let’s change the world, together.
About GitHub GitHub is the world’s leading platform for agentic software development — powered by Copilot to build, scale, and deliver secure software. Over 180 million developers, including more than 90% of the Fortune 100 companies, use GitHub to collaborate, and more than 77,000 organisations have adopted GitHub Copilot. Locations In this role you can work from Remote, United States Overview GitHub is looking for a Staff Engineering Manager to lead the development of the GitHub Copilot AI inference platform. This role involves overseeing the allocation and deployment of GitHub's AI resources, managing high-throughput service infrastructure for inference workloads, and improving the experiment-to-production pipeline. This includes operating orchestration frameworks that support generative AI workloads at scale. The ideal candidate will possess a strategic vision, technical leadership in distributed systems and generative AI serving architectures, as well as the ability to mentor their immediate reporting engineers, build empowered high-trust team, and foster a culture of technical excellence and experimentation. The AI infrastructure at GitHub is crucial for the future of software development. As Staff Engineering Manager, you will lead the team responsible for this foundation, ensuring efficient, secure, and business-aligned resource deployment. This is a unique opportunity to shape the systems powering Copilot and other AI-driven experiences globally. We foster a culture that prioritizes developer empathy, transparency, and inclusive collaboration, where curiosity and impact drive our development efforts. Responsibilities - Drive and support technical roadmap that aligns with product goals, ensuring that engineering efforts are strategically prioritized and incorporating the adoption of new technologies and methodologies where applicable. - Facilitate cross-team communications, identify dependencies, and resolve conflicts to ensure seamless integration and support across products, applications, and services. - Drive employee growth and development, manage performance, and ensure the engineering team's skills remain current by staying abreast of industry developments and best practices. - Guide teams in designing scalable, secure, and observable systems that meet business and technical requirements. - Champion experimentation and telemetry-driven development, enabling rapid iteration and data-informed decisions. - Drive engineering excellence through automation, tooling, and standardization across deployment, testing, and operations. - Own incident response and reliability practices, ensuring live services meet SLOs and postmortems drive systemic improvements. Qualifications Required Qualifications - 9+ years' experience in Software Engineering, Computer Science, or related technical discipline with proven experience maintaining and delivering production software coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, Go, Ruby, Rust, or Python, - OR associate’s degree in Computer Science, Electrical Engineering, Electronics Engineering, Math, Physics, Computer Engineering, Computer Science, or related field AND 8+ years' experience in Software Engineering, Computer Science, or related technical discipline with proven experience maintaining and delivering production software coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, Go, Ruby, Rust, or Python, - OR bachelor's degree in Computer Science or related field AND 7+ years' experience in Software Engineering, Computer Science, or related technical discipline with proven experience maintaining and delivering production software coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, Go, Ruby, Rust, or Python, - OR master's degree in Computer Science, Electrical Engineering, Electronics Engineering, Math, Physics, Computer Engineering, Computer Science, or related field AND 5+ years' experience in Software Engineering, Computer Science, or related technical discipline with proven experience maintaining and delivering production software coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, Go, Ruby, Rust, or Python, - OR doctorate in Computer Science, Electrical Engineering, Electronics Engineering, Math, Physics, Computer Engineering, Computer Science, or related field AND 3+ years' experience in Software Engineering, Computer Science, or related technical discipline with proven experience maintaining and delivering production software coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, Go, Ruby, Rust, or Python, - OR equivalent experience. - 3+ years people management experience. Preferred Qualifications - Experience in one or more scripting languages (e.g., Bash, Python, or a similar language), technologies and software platforms, (e.g., Ruby, React, Go, Javascript/typescript, MySQL, cosmosDB, Elasticsearch), front-end frameworks (e.g., React.js), and / or telemetry dashboard (e.g., Datadog, Sentry, Azure Data Explorer). - Experience with cloud environments and/or Cloud Native Compute Foundation (CNCF) concepts. - Demonstrated experience with large-scale system architecture and design, particularly in cloud-based environments, with a strong understanding of distributed systems and microservices. - Experience working closely with product management, design, and other engineering teams to drive cross-functional projects and deliver high-quality products. Compensation Range The base salary range for this job is USD $140,400.00 - USD $372,300.00 /Yr. These pay ranges are intended to cover roles based across the United States. An individual's base pay depends on various factors including geographical location and review of experience, knowledge, skills, abilities of the applicant. At GitHub certain roles are eligible for benefits and additional rewards, including annual bonus and stock. These rewards are allocated based on individual impact in role. In addition, certain roles also have the opportunity to earn sales incentives based on revenue or utilization, depending on the terms of the plan and the employee's role. GitHub values - Customer-obsessed - Ship to learn - Growth mindset - Own the outcome - Better together - Diverse and inclusive Manager fundamentals - Model - Coach - Care Leadership principles - Create clarity - Generate energy - Deliver success Who We Are GitHub is the world’s leading AI-powered developer platform with 150 million developers and counting. We’re also home to the biggest open-source community on earth (and 99% of the world’s software has open-source code in its DNA). Many of the apps and programs you use every day are built on GitHub. Our teams are dreamers, doers, and pioneers, leading the way in AI, driving humanitarian efforts around the globe, and even sending open source to Mars (and beyond!). At GitHub, our goal is to create the space you need to do your best work. We’re remote-first and offer competitive pay, generous learning and growth opportunities, and excellent benefits to support you, wherever you are—because we know that people flourish when they can work on their own terms. Join us, and let’s change the world, together. EEO Statement GitHub is made up of people from a wide variety of backgrounds and lifestyles. We embrace diversity and invite applications from people of all walks of life. We don't discriminate against employees or applicants based on gender identity or expression, sexual orientation, race, religion, age, national origin, citizenship, disability, pregnancy status, veteran status, or any other differences. Also, if you have a disability, please let us know if there's any way we can make the interview process better for you; we're happy to accommodate!
Engineering Manager, Infrastructure Platforms
GitLabBuild software faster. The One DevOps Platform enables your entire org to collaborate around your code. We're hiring.
• Hire and manage a high-performing team of Site Reliability Engineers in India that lives our values. • Hold regular 1:1s with all members of your team, providing coaching and regular feedback around the individual’s performance. • Coordinate and continuously refine the team’s shift and weekend coverage model for Dedicated migrations. • Own operational execution of Dedicated Geo migrations and cutovers, including planning, pre-cutover preparation, live execution, and post-cutover validation and cleanup. • Ensure the team provides high-quality, timely responses to Geo-related escalations from Support and internal partners. • Foster technical decision making on the team, stepping in to make final decisions when necessary—especially during high-stakes migrations or incidents. • Build and maintain runbooks, guardrails, and post-cutover reviews so the team operates with rigor rather than improvisation, especially during ramp-up. • Collaborate with core Geo, Dedicated migrations, and other Infrastructure teams to identify and prioritize engineering investments that improve migration tooling and processes. • Define, track, and report on key operational metrics such as escalation volume absorbed, internal escalation rate, cutover coverage, response times, and team health signals, using them to drive continuous improvement. • Participate in the Incident Management on-call rotation to help ensure availability goals for GitLab.com are met, working with reliability engineers and development team members.
Engineering Manager, Data Platform
LearneoPioneering a platform of builder-driven productivity and learning businesses.
• Own the architecture and evolution of the data platform to support large-scale, real-time, and batch data processing. • Design systems for analytics, experimentation, event tracking, and usage metering. • Ensure high standards of scalability, reliability, performance, and data quality. • Drive best practices in data engineering, system design, and observability. • Build, mentor, and lead a high-performing team of data and platform engineers. • Foster a culture of ownership, innovation, and continuous improvement. • Provide technical guidance, career development, and performance management. • Partner closely with Product, AI, Growth, and Marketing teams to understand data needs and translate them into scalable solutions. • Enable data-driven decision-making across the organization. • Improve the developer experience and usability of the data platform for internal teams. • Define and track platform KPIs such as adoption, reliability, and performance. • Optimize infrastructure for cost efficiency and performance at scale. • Continuously evaluate tools, technologies, and processes to improve ROI. • Supporting AI research with data, both for training and capabilities.
Engineering Manager, Data Platform
360 Social AgencyWe Provides 360 services for Digital Marketing, Event Management & Web Development
• Own the architecture and evolution of the data platform to support large-scale, real-time, and batch data processing. • Design systems for analytics, experimentation, event tracking, and usage metering. • Ensure high standards of scalability, reliability, performance, and data quality. • Drive best practices in data engineering, system design, and observability. • Build, mentor, and lead a high-performing team of data and platform engineers. • Foster a culture of ownership, innovation, and continuous improvement. • Partner closely with Product, AI, Growth, and Marketing teams to understand data needs and translate them into scalable solutions. • Enable data-driven decision-making across the organization. • Improve the developer experience and usability of the data platform for internal teams. • Define and track platform KPIs such as adoption, reliability, and performance. • Optimize infrastructure for cost efficiency and performance at scale. • Continuously evaluate tools, technologies, and processes to improve ROI. • Supporting AI research with data, both for training and capabilities.
