Engineering Manager - Data Platform

At Guild, we are dedicated to the belief that talent is universally distributed, and opportunities should be too. Headquartered in Denver, we have adopted a flexible work model that allows us to tap into the finest talent across the United States. While some positions may necessitate a presence near our Denver office, many others are available to individuals residing in any of the following 32 states: AZ, CA, CO, CT, FL, GA, ID, IL, IN, KS, MA, MD, ME, MI, MN, MO, NC, NH, NJ, NV, NY, OH, OK, OR, PA, SC, TN, TX, UT, VA, WA, WI, and Washington D.C. We encourage you to apply only if you can reside and work full-time in one of the states listed. Please note that state locations and specifics may evolve as our hiring needs change.If you are an Internal Candidate, please apply via our Internal Job Board.----To achieve our impact goals and thrive as a company, fostering a culture of high performance is essential. We recognize that managers are often the key drivers of employee satisfaction and growth, making our talent our most valuable asset. Therefore, we have established clear expectations for all people managers at Guild, ensuring you know what to expect from your experience with us.----Data and AI Platform Engineering ManagerRemoteIn the role of Data and AI Platform Engineering Manager, you will spearhead the teams responsible for developing Guild's Data platform and Apollo, our AI platform that powers agent-based workflows, machine learning infrastructure, and AI-native tools throughout the organization. This is a leadership-oriented position (70% coaching, 30% hands-on) overseeing two small teams: Data Platform Engineering and AI Platform. Your primary influence will stem from the teams you cultivate and the systems you establish to ensure reliable delivery, while collaborating closely with product management, data science, and platform engineering to align with Guild's strategic objective of becoming an AI-native company by FY27.The OpportunityBuild, nurture, and retain a high-performing engineering team across two platform squads, overseeing hiring, coaching, performance management, and career development.Facilitate the shift from ad-hoc AI application to platform-driven, governed AI processes, championing Guild's vision for AI-native engineering.Deliver a dependable, scalable, and secure data and AI platform that enhances time-to-value for teams across Guild.As Data and AI Platform Engineering Manager, you will:Manage, mentor, and develop engineers across the Data and AI teams, fostering a culture of innovation and excellence.

Aledade is seeking a dynamic and experienced Senior Engineering Manager to lead our AI Data Platform team. In this role, you will be responsible for driving the development of innovative AI solutions that enhance our data capabilities and improve healthcare outcomes. You will collaborate with cross-functional teams, providing technical leadership and strategic direction to ensure the successful delivery of projects that leverage cutting-edge technologies.Your expertise in AI and data engineering will be crucial in developing scalable data architectures, optimizing machine learning models, and implementing best practices for data governance. This position requires a strong leader who can inspire and mentor a team of engineers while fostering a culture of collaboration and continuous improvement.

About Quizlet:At Quizlet, we are dedicated to empowering learners to achieve their educational goals in the most effective and enjoyable manner. With our learning platform valued at over $1 billion, we cater to millions of students monthly, including a significant portion of U.S. high school and college students, facilitating over 2 billion learning interactions each month.By integrating cognitive science with cutting-edge machine learning techniques, we personalize and enhance the learning experience for students, professionals, and lifelong learners. Our enthusiasm lies in the potential to support more learners through diverse approaches and tools.Join Us in Shaping the Future of EducationBecome a part of our mission to design and deliver AI-driven learning solutions that extend globally and unlock human potential.About the Team:The AI & Data Platform team is committed to building and maintaining a robust, scalable, and efficient foundation for all data and machine learning operations at Quizlet. This team is the cornerstone of our AI aspirations. As we streamline our AI initiatives to create an integrated and powerful product suite, the platform team’s main focus is on operational excellence. We actively adopt and utilize top-tier MLOps and DataOps technologies to hasten innovation across Quizlet.About the Role:As a Staff AI & Data Platform Engineer, you will spearhead the design and development of Quizlet’s analytical data and machine learning infrastructure, ensuring our platforms are scalable, reliable, and geared for long-term success. You will collaborate closely with cross-functional teams to establish technical direction, guide architectural decisions, and mentor engineers across Data Science, ML Engineering, and Product.This position demands profound technical expertise, strategic insight, and the ability to deliver systems that enhance ML and data innovation at scale. You will gauge success through platform adoption, improvements in reliability, and outcomes related to developer productivity.We are pleased to inform you that this is an onsite position at our San Francisco office. To promote team collaboration, we ask employees to be present in the office at least three days a week: Monday, Wednesday, and Thursday, as well as as required by your manager or the company. We believe that this work environment enhances efficiency, fosters teamwork, and supports both personal and organizational growth.

Our PurposeAt Fiddler AI, we recognize the profound implications of artificial intelligence and its impact on human lives. Our mission is to instill trust in AI technologies. With the emergence of Generative AI and intelligent agents, the potential for generalized intelligence has expanded, but so have the associated risks. Fiddler is dedicated to assisting organizations in navigating these challenges by providing reliable and transparent AI solutions.We collaborate with AI-centric organizations to establish a sustainable framework for responsible AI practices, fostering trust among their users. AI Engineers, Data Scientists, and business teams leverage Fiddler AI to monitor, evaluate, secure, analyze, and enhance their AI solutions, facilitating improved outcomes. Our platform empowers engineering teams and business stakeholders to comprehend the 'what', 'why', and 'how' behind AI results.Our FoundersFiddler AI was co-founded by Krishna Gade, a distinguished engineering leader from Facebook, Pinterest, Twitter, and Microsoft, and Amit Paka, a product visionary with a history at Microsoft, Samsung, PayPal, and as a two-time founder. Our venture is supported by prominent investors including Insight Partners, Lightspeed Venture Partners, and Lux Capital.Why Join UsJoining our innovative team means contributing to the mission of embedding trust into AI, thereby helping society harness its transformative power. You will play a crucial role in ensuring that AI applications deployed at scale across various industries maintain operational transparency and security. As an early-stage startup, we are rapidly expanding and proud of our dynamic team composed of intelligent and empathetic doers, thinkers, creators, and builders. The AI and ML sector is characterized by swift innovation, offering monumental learning opportunities. This is your chance to lead the way as a pioneer in this field.Fiddler is recognized as a trailblazer in AI Observability, having earned numerous accolades such as the 2022 a16z Data50 list, 2021 CB Insights AI 100 most promising startups, 2020 WEF Technology Pioneer, and a 2019 Gartner Cool Vendor in Enterprise AI Governance and Ethical Response. By joining our talented team, you will contribute to shaping the future of AI Observability.‍ The Mission:As a Staff Data Platform Engineer, you will significantly impact the safety and return on investment of large language models and agentic applications across diverse verticals and domains. You will be at the forefront of designing and developing innovative tools that enhance the performance and reliability of AI systems.

Role Overview trueml is hiring an Engineering Manager for the Data Platform team. This is a fully remote position open to candidates based in the USA. What You Will Do Lead and mentor a team of data engineers Guide the development and improvement of data systems Oversee data architecture and performance optimization Drive strategic projects for the data platform Work closely with other teams to deliver strong data solutions About the Team The Data Platform team at trueml builds and maintains systems that support data-driven decisions across the company.

Agiloft is looking for an AI Data Platform Lead based in the United States. This role centers on building and improving data platforms that use artificial intelligence to support business operations. Role overview The AI Data Platform Lead partners with teams from different areas of the company to design, develop, and refine data solutions. The focus is on using AI to make processes smarter and more efficient. What you will do Develop and enhance data platforms with AI-driven features Work closely with cross-functional teams to align data solutions with business needs Optimize data architecture for performance and scalability Who succeeds in this role Strong interest in artificial intelligence and data architecture Experience collaborating across departments Focus on driving efficiency and intelligence through technology

Join Worth AI, a trailblazer in the computer software sector, as a Data Platform Engineer. Our mission is to transform decision-making through cutting-edge artificial intelligence, fostering collaboration and adaptability to create a significant impact in the tech realm. At Worth AI, we emphasize extreme ownership, unity, and the creation of passionate advocates among both our employees and customers.In this role, you will be responsible for designing, building, and maintaining the core data services that drive our products and analytics. You will manage end-to-end data pipelines and API services that gather, process, and deliver high-quality data to internal teams (such as data science, analytics, and product engineering) and external partners.You will be part of a dynamic, high-impact team that treats our data platform as if it were a product, ensuring strong SLAs and providing reliable self-service capabilities for both internal and external users.

About Collective Collective helps solo entrepreneurs run their businesses with less hassle. Our technology and team of advisors make it easier for members to handle incorporation, accounting, bookkeeping, and taxes, all in one place. The goal: give self-employed professionals the same tax advantages as large companies, so they can focus on what matters most to them. Our work has been highlighted in Forbes, Business Insider, Yahoo, Bloomberg, Financial Times, and TechCrunch. Investors backing Collective include General Catalyst, Sound Ventures (Ashton Kutcher and Guy Oseary), QED Investors, and Google's Gradient Ventures. Many have also supported brands like YouTube, Substack, and Lyft. Role Overview: AI Data Engineer Collective is looking for a Senior AI Data Engineer to build an internal data agent platform. The mission: make company data accessible to employees, so anyone can ask questions in plain English and get reliable insights or dashboards in return. This role blends AI systems, data infrastructure, and product engineering. The work goes beyond building a system, it requires attention to data integrity, consistency, and reliability throughout. The team is searching for someone who can set a technical direction, design the data architecture, and help drive adoption of these new tools across the company. What You Will Do Develop Agent Infrastructure Build systems for data retrieval, planning, and execution using real company data Enable multi-step reasoning and analytical workflows Connect the agent platform with internal tools Create an End-to-End Analytics System Develop a natural language interface for the entire data stack Allow employees to run complex analyses without SQL Manage and Enhance the Data Layer Work with product engineering teams to design and improve clean, consistent data models Continuously raise the quality and accessibility of company data Location San Francisco

About Tribe AI:At Tribe AI, we are dedicated to empowering enterprises to unlock the full potential of artificial intelligence. Many large organizations aspire to leverage AI for operational transformation, yet lack the necessary capabilities. This presents a unique opportunity for us.As a pioneering AI-native services firm, we collaborate with enterprises to design and implement top-tier AI solutions that yield tangible business results. Our partnerships with industry leaders like OpenAI and Anthropic provide us with unparalleled insights into the latest models, strategies, and market approaches.Role Overview:In the capacity of a Lead AI Engineer within our Platform Team, you will play a pivotal role in enhancing our internal foundational codebase to expedite project delivery with superior quality. Your expertise will serve as a crucial link between our sales and project teams, ensuring the delivery of exceptional client outcomes while sustaining high profit margins.Key Responsibilities:Platform Development & SupportEnhance and expand our foundational codebase, known as 'Foundry', to provide reusable components for project teams.Assist project teams in maximizing the use of our platform components, achieving 50-70% code reuse.Identify and integrate successful project implementations back into the platform for future utilization.Proactively resolve bugs, performance issues, and feature gaps within the platform.Training & EnablementCreate training materials and documentation to lower productivity barriers for platform components.Design onboarding processes to facilitate rapid acclimatization for team members using the codebase.Offer hands-on support through pairing sessions and code reviews with project teams.Cross-functional CollaborationEngage with sales teams to grasp upcoming project needs and provide insights on platform capabilities.Partner with project teams throughout the delivery lifecycle to assess effectiveness and identify areas for improvement.

About DaydreamDaydream is an innovative chat-based shopping assistant exclusively tailored for fashion. Our aim is to revolutionize the way individuals discover and explore fashion by delivering a personalized, conversational experience powered by cutting-edge AI and natural language understanding.Supported by leading investors such as Forerunner Ventures, Index Ventures, Google Ventures, and True Ventures, our dedicated team is passionate about redefining the future of shopping.About the RoleAs the Engineering Lead for Platform & AI, you will take ownership of several backend systems at Daydream. This includes managing the catalog data pipeline that drives our product index, overseeing the AI content pipeline that generates landing pages for ad campaigns, and developing the B2B integration layer that allows our search functionality on partner retail websites. Your work will primarily involve Python and Go, focusing heavily on LLM integration, with your contributions directly impacting our product.Key Responsibilities:Catalog Pipeline:Oversee the augmentation pipeline—a multi-step Polars system that executes ML models (image analysis, hero selection, swatches via Vertex AI), standardizes sizes, appends affiliate links, and writes to Delta Lake / GCS.Enhance catalog quality through OOS accuracy, hero image selection, and sizing coverage.Develop and maintain scrapers and mappers for over 100 fashion merchants across various platforms including Shopify and custom sites.Eventually, take charge of the enrichment layer, focusing on attribute extraction, taxonomy, and Elasticsearch indexing.Content Generation Pipeline:Lead the AI content pipeline—a multi-step system utilizing LLM for topic generation, product matching, quality scoring, and landing page assembly.Enhance prompt quality and evaluate LLM output.Advance towards personalized content for logged-in users, email content, and broadened ad formats.B2B Merchant Integration:Create and manage services that expose core Daydream capabilities to merchant partners.Deploy on Kubernetes utilizing Helm and ArgoCD.In All Areas:Collaborate across teams to ensure seamless integration and functionality of systems.

About Contextual AI At Contextual AI, we are pioneering a transformation in the way AI Agents operate by tackling the most pressing challenge in AI: context. By providing the right context at the right moment, we enable enterprises to achieve the precision and scalability they need from AI. Our robust enterprise AI development platform bridges the gap between cutting-edge AI research and the practical needs of developers. Our comprehensive platform simplifies the process for AI developers to seamlessly ingest and query documents from enterprise data sources, integrating retrieval outcomes into their business workflows effortlessly. Founded by the trailblazers of Retrieval-Augmented Generation (RAG), the foundational technology that links foundational models to timely and relevant data, Contextual AI is backed by some of the most innovative venture capitalists in the industry. We are not merely a part of the enterprise AI revolution; we are at its forefront. Join us in creating a future where AI transcends mere question answering to genuinely transform businesses. Job Overview The Data Platform team within Contextual AI is integral to powering product development, applied research, and managing data-heavy workloads for our customers. This is a unique opportunity to influence the technical vision of the data engineering team, contributing to groundbreaking projects within a greenfield environment. What You’ll Do: Design and develop scalable services, APIs, and databases to efficiently handle the daily processing and ingestion of petabytes of data. Enhance state-of-the-art multimodal LLMs to maximize document understanding capabilities. Create and implement thorough evaluation pipelines for end-to-end agentic RAG workflows. Architect and construct streaming infrastructure and data orchestration systems, including vector databases. Collaborate with machine learning researchers to interpret state-of-the-art requirements for RAG systems, translating them into actionable service specifications. Engage directly with product managers and application engineers to gather customer requirements for end-to-end RAG systems, and convert these into viable technical solutions. Ensure seamless integration with machine learning models and pipelines, facilitating effective model deployment and management. Provide mentorship and guidance to junior team members, fostering a culture of knowledge sharing and professional development. What We’re Seeking: Education: A Bachelor’s degree in Computer Science, Software Engineering, or a related field. Experience: Minimum of 2 years of relevant experience in data engineering or a related field. Strong understanding of scalable data architectures and design principles. Proficiency in modern programming languages and frameworks. Experience with machine learning principles and practices is a plus.

SentiLink is at the forefront of delivering groundbreaking identity verification and risk management solutions, enabling both institutions and individuals to engage in transactions with utmost assurance. We are revolutionizing the identity verification landscape in the United States by replacing outdated and costly methods with solutions that are ten times faster, more intelligent, and remarkably accurate.Our rapid growth is a testament to our success, with our real-time APIs having verified hundreds of millions of identities, starting with the financial services sector and swiftly branching out into diverse markets. SentiLink is proudly supported by esteemed investors such as Craft Ventures, Andreessen Horowitz, NYCA, and Max Levchin.Our accomplishments have been recognized by notable media outlets including TechCrunch, CNBC, Bloomberg, Forbes, Business Insider, PYMNTS, and American Banker. We are also honored to have been featured on the Forbes Fintech 50 list every year since 2023. In a historical milestone, we became the first company to launch the eCBSV and have provided testimony before the United States House of Representatives regarding the future of identity verification.SentiLink embraces various working styles, offering options that range from fully remote to in-office arrangements. As a digital-first organization, we foster robust collaboration across teams in the U.S. and India, with physical offices located in Austin, San Francisco, New York City, Seattle, Los Angeles, and Chicago in the U.S., as well as Gurugram (Delhi) and Bengaluru in India. If you are near one of our offices, we encourage you to join us in-person regularly. Certain roles are specifically designed to be hybrid or in-office; for instance, our engineering team in India predominantly operates from our Gurugram office.Role:We are seeking a skilled Engineering Manager to spearhead our Data Platform team, which is dedicated to building and scaling the data infrastructure that underpins SentiLink’s products and decision-making systems.This integral team is responsible for the pipelines, storage systems, and data services that empower all of our products, facilitate data analysis, and support business intelligence efforts. These systems are fundamental in detecting fraud, driving machine learning models, and delivering valuable insights to our customers.

At Coram AI, we are revolutionizing video security for today's world. Our innovative cloud-native platform leverages advanced computer vision and artificial intelligence to empower businesses to enhance safety, make informed decisions, and improve operational efficiency. From real-time alerts to effortless clip sharing and comprehensive multi-site visibility, we are at the forefront of security technology.As part of our dynamic and agile team, you will find a culture that prioritizes clarity, craftsmanship, and meaningful impact. Every team member contributes their unique voice, delivers significant work, and plays a crucial role in shaping how AI can foster a safer, more connected world.We are seeking a technically adept Engineering Manager to oversee our Platform team. This team is responsible for developing the essential real-time infrastructure that supports distributed edge systems under stringent latency, memory, and reliability constraints.In this hands-on leadership position, you will manage a team of highly skilled engineers focused on low-level systems, high-performance networking, concurrency, and edge computing. While expertise in robotics is not a prerequisite, extensive experience in real-time or low-latency systems, along with a capability to dive deep into technical challenges when necessary, is essential.Your Responsibilities• Collaborate with product and leadership teams to outline the technical roadmap for the Platform team.• Spearhead architectural design for distributed edge systems that operate under strict latency and memory constraints.• Manage and prioritize multiple concurrent projects while addressing production challenges and adapting to evolving customer requirements.• Perform thorough design and code reviews to guarantee high reliability and performance of the systems.• Delve into C++ or low-level system code as needed to resolve critical issues.• Supervise the development of IPC, messaging, and real-time data pipelines.• Establish robust engineering processes focusing on observability, testing, and production stability.• Recruit, mentor, and cultivate a high-performing team of systems engineers.• Promote a culture of ownership, technical excellence, and disciplined execution.Qualifications We Seek• A minimum of several years managing engineers working on complex systems.• Strong foundation in computer science principles, including algorithms, data structures, operating systems, and networking.• A history of being a strong individual contributor earlier in your career.• Extensive experience in building or leading real-time or low-latency distributed systems.

Join our innovative team at Caribou as an Engineering Manager focused on Data and Platform Engineering. In this pivotal role, you will lead a talented team of engineers, driving the development of robust data platforms and engineering solutions that propel our business forward. You will collaborate with cross-functional teams to ensure the successful delivery of high-quality products and services that meet the evolving needs of our customers.

Kraken is a remote-first company specializing in cryptocurrency and blockchain technology. With operations in more than 70 countries and a team fluent in over 50 languages, Kraken works to broaden access to digital assets and create more inclusive financial systems. Kraken’s products serve a wide range of users, from experienced traders and institutions to those new to crypto. The company places a strong emphasis on security, education, and responsive client support. Platforms include Kraken Pro, Desktop, Wallet, and Kraken Futures. For more on their approach, see details about security, education, and client support. Role overview The Data Platform Engineering Manager position is fully remote within the United States. This role leads engineering efforts that drive Kraken’s data platforms and infrastructure, joining a team focused on shaping the future of crypto technology. The manager will guide technical direction, foster innovation, and support the team’s growth as they build and maintain secure, scalable systems. Who thrives in this role Engineers who take pride in building secure and reliable systems Leaders who prioritize collaboration across diverse, global teams Individuals interested in tackling the challenges of scaling data platforms in a rapidly changing industry Learn more Explore Kraken’s values and team culture on the Kraken Culture page. For a step-by-step guide to getting started with the platform, visit the account creation instructions here.

Live View Technologies, Inc. develops AI-driven technology that supports physical site operations. The company’s products help organizations improve safety, compliance, and operational control. With a foundation in mobile, solar-powered units, LVT continues to advance both hardware and its Agentic AI platform for real-time site intelligence. Recent recognition highlights LVT’s growth and leadership. The company was named to the Financial Times’ Fastest Growing Companies 2025 list and ranked #10 on the Inc. 5000 Rocky Mountain Regional list for 2025. CEO Ryan Porter received the EY Entrepreneur of the Year 2025 award, and CTO Steve Lindsey joined the Silicon Slopes CTO Hall of Fame in 2024. LVT also earned a spot among The Software Report’s Top 100 Software Companies of 2023 and won the Security Today Govies Award for 2025. Role overview The Data Engineer - AI Solutions will play a key role in strengthening LVT’s data platform and supporting AI initiatives. The position covers the entire data engineering lifecycle, including ingesting, transforming, modeling, and delivering data. Responsibilities involve building and optimizing data infrastructure for AI projects, such as RAG pipelines and Snowflake Cortex models. Clean, accurate, and well-structured data will be essential for the success of LVT’s AI systems. Location and work style This position offers flexibility for remote work, with preference given to candidates who can work onsite at the American Fork, Utah office.

About Tribe AI:At Tribe AI, our mission is to empower enterprises to unlock the potential of artificial intelligence within their operations. Many large organizations aspire to leverage AI for transformative operational efficiencies, yet often lack the necessary expertise. This gap presents a unique opportunity for us to assist them.As an AI-native services provider, we collaborate with leading enterprises to create and implement cutting-edge AI products that drive significant business results. Our strategic partnerships with OpenAI and Anthropic give us unparalleled access to the latest models and go-to-market strategies in the industry.About the Role:We are looking for a seasoned Product Manager to lead our AI Platform team. In this key role, you will be responsible for ensuring that all projects utilize our platform's capabilities to significantly enhance both profitability and quality across the organization. You will spearhead our platform strategy, collaborating closely with project teams to optimize platform usage and iteratively enhance our AI functionalities.Key Responsibilities:Connect to Sales Pipeline: Work in tandem with sales teams to grasp upcoming project requirements, prioritize platform features in line with market needs, and develop value propositions that facilitate deal closure.Co-pilot Support: Collaborate directly with active project teams through one-on-one sessions to provide platform expertise and ensure effective implementation.Feedback Collection & Impact Measurement: Monitor essential metrics to quantify the platform’s value, gather user feedback, and continually enhance the platform experience.Standardize Features: Identify successful project-specific implementations that can be standardized and integrated into the core platform.ROI Analysis: Create and maintain detailed ROI models that illustrate the business advantages of platform integration across various projects.Ensure Platform Reliability: Lead efforts to enhance production reliability by managing issue resolution, coordinating with engineering teams, communicating with impacted clients, and incorporating reliability insights into the platform roadmap.About You:7+ years of product management experience, with a strong track record of successful technical product delivery.Proficient understanding of AI technologies and their applications in business contexts.Exceptional communication and collaboration skills, with a knack for translating complex concepts into actionable insights.

About Applied IntuitionApplied Intuition, Inc. is at the forefront of advancing physical AI. Established in 2017 and now boasting a valuation of $15 billion, this Silicon Valley powerhouse is constructing the digital infrastructure necessary to infuse intelligence into every machine in motion worldwide. Our company serves a diverse array of sectors including automotive, defense, trucking, construction, mining, and agriculture, focusing on three primary areas: tools and infrastructure, operating systems, and autonomy. Trust in our solutions is reflected by eighteen of the top twenty global automakers, alongside the United States military and its allies, to deliver physical intelligence. Headquartered in Sunnyvale, California, we have a presence in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Discover more at applied.co.While we expect our employees to primarily work from their Applied Intuition office five days a week, we appreciate the value of flexibility and trust our team to manage their schedules responsibly. This can include occasional remote work, attending morning meetings from home, or adjusting hours to accommodate family commitments.About the RoleWe are seeking an Engineering Manager to lead our Data Platform team within the Data Engineering group. In this pivotal role, you will oversee a top-tier data engineering team responsible for managing the complete data lifecycle—from collection and ingestion to storage, querying, and retrieval—at a scale of hundreds of petabytes.Collaboration with various business units across Applied Intuition is key to defining the technical roadmap for our data platform, ensuring robust support for both external products and internal tools across cloud, hybrid, and on-premises deployments. This is a highly collaborative leadership position that demands deep technical expertise, exceptional people management abilities, and a strong sense of ownership. At Applied Intuition, engineering managers are expected to be engaged leaders who contribute actively to technical direction alongside people management.In this Role, You Will:Lead, develop, and mentor a team of data infrastructure engineers, nurturing a culture of technical excellence, ownership, and collaboration.Define and drive the technical strategy...

Join Airwallex as a Senior Software EngineerAt Airwallex, we are redefining the global payments and financial landscape for businesses. Our integrated financial platform empowers over 200,000 companies, including major players like Brex and SHEIN, to streamline their operations from payment processing to treasury management.Founded in Melbourne, we now boast a diverse team of over 2,000 talented professionals across 26 offices globally. With a valuation of $8 billion and backing from top-tier investors such as T. Rowe Price and Visa, we are on a mission to revolutionize the future of global banking and finance. If you are ready to take on ambitious challenges and make a significant impact, we want you on our team.What We Look ForWe seek passionate builders who thrive in a fast-paced environment and are driven by innovation. If you possess deep technical expertise, exceptional problem-solving skills, and a collaborative spirit, you will excel here. We value curiosity, humility, and the ability to turn visionary ideas into tangible products. Leverage AI to enhance efficiency and tackle complex challenges with strong teammates as we shape the future of finance together.Your RoleAs a Senior Software Engineer within our Platform Engineering team, you will play a crucial role in designing and implementing next-generation infrastructure. We are focused on developing a robust, distributed ecosystem that supports real-time AI capabilities and global financial data management.Your responsibilities will include optimizing distributed systems, enhancing JVM performance, and employing architectural patterns that facilitate real-time data processing.