Staff Backend Engineer - eCommerce Engineering

About PlaylabPlaylab is a pioneering tech non-profit focused on empowering educators and students to become discerning users and innovative creators of AI technology.We are committed to an open-source, community-oriented approach that unlocks the transformative potential of AI in education. By providing communities with AI tools and hands-on professional dev…

About PlaylabPlaylab is a pioneering tech non-profit committed to empowering educators and students to become informed consumers and creators of AI technology.Our mission is rooted in the belief that an open-source, community-driven framework is essential for unlocking the transformative potential of AI in educational settings. We provide communities with advanced AI tools and hands-on professional development, enabling educators and students to design customized AI applications tailored to their specific needs. With over 60,000 educators already publishing apps through Playlab, our impact continues to expand daily.At Playlab, we view AI as a revolutionary design material, one that should be shaped collectively to bring diverse visions of learning to fruition. If you share our passion for crafting innovative and equitable futures for students and teachers, we invite you to join our team.The RoleWe are on the lookout for a Fullstack Engineer to enhance our dynamic engineering team. In this role, you will be responsible for delivering features across the entire technology stack, focusing on AI-integrated interfaces, development tools, and collaborative solutions that facilitate effective AI utilization for educators and students.Examples of ResponsibilitiesDevelop features for AI-integrated interfaces, including components that transition seamlessly from chat to writing editor to interactive simulations.Implement functionalities in our application builder, allowing educators to create AI applications using natural language.Work on real-time collaboration tools that enable multiple educators to co-create applications concurrently.Design voice interfaces and mobile-first experiences adaptable to various classroom environments.Develop discovery and sharing features that assist educators in finding and remixing applications.Create integrations with Google Workspace, Canvas LMS, and other educational platforms.Build evaluation dashboards and activity summaries that empower educators with insights into application performance.And more…ExpectationsDeliver features across the complete stack, from React/Remix frontend to Node.js backend.Adopt an agile approach to learning, rapidly deploying experiments and iterating based on user feedback.Exhibit curiosity by learning and applying the latest web technologies and best practices.Collaborate effectively with designers, fellow engineers, and product teams to develop necessary features.Write comprehensive tests and documentation for your code.

About PlaylabPlaylab is an innovative non-profit organization committed to empowering educators and students to become informed consumers and creators of artificial intelligence (AI). We are driven by the belief that a community-focused, open-source approach is essential for unlocking the transformative potential of AI in education. Our platform equips communities with accessible AI tools and practical professional development, enabling educators and students to design tailored AI applications that cater to their specific needs. With over 60,000 educators actively publishing applications on Playlab, our impact continues to expand day by day.At Playlab, we envision AI as a new medium for design—one that should be shaped collaboratively to realize diverse educational visions. If you share our passion for cultivating equitable and creative futures for students and educators, we invite you to join our mission.The RoleWe are on the lookout for a Principal Platform Engineer to become an integral part of our expanding Engineering team. In this role, you will be responsible for architecting systems that facilitate scalability and enable rapid experimentation with cutting-edge technologies, empowering us to push the boundaries of what is possible.Key ResponsibilitiesDesign and implement a robust agent runtime infrastructure poised to accommodate a 100x increase in user capacity.Establish the foundational architecture for multi-user applications and real-time collaboration functionalities.Create systems that support the innovative redesign of education by lab schools, covering everything from AI-native curricula to novel operational frameworks.Collaborate with the Machine Learning team to develop data infrastructure that supports real-time steering of large language model (LLM) interactions.Work alongside product and application engineering teams to create secure, ephemeral backend sandboxes, allowing power users to integrate sophisticated custom functionalities into their Playlab applications.Contribute to the open-source community by sharing components of our platform and facilitating country-specific or self-hosted deployments.ExpectationsConduct research, assess trade-offs, and design core systems that enable rapid iteration on AI-enhanced educational experiences.Contribute to the development of our engineering culture and technical strategy.Stay abreast of emerging technologies, platforms, and methodologies to unlock new functionalities and enhance existing features.Engage cross-functionally with various teams and customers to ensure alignment and satisfaction.

About PlaylabPlaylab is a pioneering tech non-profit committed to empowering educators and students to become discerning consumers and innovative creators of AI technologies.We champion an open-source, community-oriented approach as the cornerstone for unlocking AI's transformative potential in education. With our suite of AI tools and comprehensive professional development programs, we enable educators and students to craft bespoke AI applications tailored to their specific needs. To date, over 60,000 educators have successfully launched applications on Playlab, and our impact continues to expand.At Playlab, we view AI as a new medium for design, one that should be shaped collaboratively to manifest diverse ideas about learning. If you are passionate about fostering creative and equitable futures for both students and teachers, we invite you to join our mission.The RoleWe are on the lookout for a Senior Fullstack Engineer to augment our dynamic Engineering team. In this role, you'll delve into and redefine the possibilities of AI-driven experiences—creating novel interfaces for AI interaction, developing tools that empower educators to create without coding, and establishing systems that facilitate large-scale deployment in schools.Key ResponsibilitiesDesign cutting-edge AI-native interfaces that evolve dynamically—from chat systems to writing editors and interactive simulations reflecting learning moments.Develop core application features that allow educators to create AI applications using natural language inputs.Implement real-time collaboration functionalities that enable educators to co-create applications in a shared environment.Contribute to building systems that empower educators to develop sophisticated AI agents capable of autonomously pursuing educational objectives.Create voice interface and mobile-first experiences that cater to diverse settings, from rural schools with limited internet access to advanced, tech-equipped classrooms.Develop discovery and sharing mechanisms that enable educators to find and remix each other’s applications, nurturing a vibrant creator community.Integrate with popular platforms like Google Workspace, Canvas LMS, and other educational tools already in use by schools.And much more…ExpectationsDeliver end-to-end features across the full technology stack—from React/Remix frontend to Node.js backend, including integrations with Python AI services.Adopt an agile approach to quickly test concepts—launch small experiments rapidly, then invest in those that demonstrate success.

Join Playlab as a Staff Machine Learning EngineerAt Playlab, we are a pioneering tech non-profit focused on empowering educators and students to become informed consumers and innovators in the field of AI.Our mission revolves around a community-centric, open-source approach to educational AI. By providing essential tools and hands-on professional development, we enable educators and students to design tailored AI applications that fit their unique educational contexts. To date, over 60,000 educators have successfully published apps through Playlab, and our impact continues to expand.We view AI as a transformative design material, one that should be shaped collaboratively to realize diverse visions of learning. If you are passionate about crafting equitable and innovative futures for educators and students, we invite you to be part of our journey.The RoleWe are searching for a Staff Machine Learning Engineer to enhance our dynamic Engineering team. In this role, you will explore and experiment with cutting-edge AI technologies, transforming them into practical solutions for educators. Your work will bridge the gap between advanced machine learning and actual educational needs, ensuring that frontier AI is both safe and accessible within educational environments.Key ResponsibilitiesDesign and develop evaluation systems that gauge the quality of educational AI across numerous interactions, focusing on learning outcomes, bias detection, and curriculum alignment.Construct ML systems that facilitate self-improving app creation, utilizing insights from high-quality apps on our platform to automatically scaffold new applications for educators.Create and prototype downloadable, on-device AI models that function offline, ensuring privacy and global accessibility.Develop systems that support dynamic interfaces that adapt to learning moments, seamlessly transitioning between chat, writing editors, and interactive simulations.Establish content moderation and safety systems specifically tailored for educational conversations.Implement agentic AI systems that enable educators to craft goal-oriented applications (e.g., guiding students through projects over two weeks).Build advanced RAG systems that integrate diverse educational content with semantic search and knowledge graphs.And more…ExpectationsConduct research, prototype, and implement machine learning systems that empower educators.

About PlaylabPlaylab is a pioneering tech non-profit committed to empowering educators and students to become critical consumers and creators of artificial intelligence (AI).We advocate for an open-source, community-driven approach as essential for unlocking the potential of AI in education. Our mission is to equip communities with AI tools and provide hands-on professional development, enabling educators and students to develop custom AI applications tailored to their unique environments. Over 60,000 educators have already published applications on Playlab, and our impact continues to expand daily.At Playlab, we view AI as a new design material—one that should be shaped collectively to realize innovative ideas about learning. If you share our passion for constructing equitable and creative futures for students and educators, we invite you to join our team.The RoleWe are looking for a Staff Machine Learning Engineer to join our expanding Engineering team. In this role, you will design the systems that ensure AI remains accessible as we grow—balancing advanced capabilities with cost-effectiveness, driving research into effective educational AI, and paving the way for sophisticated AI to operate globally.Examples of the WorkDevelop data pipelines that scrub Personally Identifiable Information (PII), create research datasets, and support the research portal for educational AI initiatives.Architect pathways for self-hosted and on-device model deployments to enhance privacy and global accessibility.Design and implement model orchestration systems that intelligently route requests among various AI providers (OpenAI, Anthropic, AWS Bedrock, open-source models).Establish cost optimization infrastructures—implementing conversation compression, prompt caching, and smart model selection to maintain AI accessibility.Create comprehensive observability systems for ML operations—monitoring costs, latency, quality, and usage patterns across thousands of applications.Design and implement infrastructure for fine-tuning and deploying custom models.Build monitoring and alerting systems to ensure reliability as AI interactions scale.And more…ExpectationsDesign, build, and maintain production ML infrastructure that balances performance, cost, and reliability.Take ownership of data quality and research dataset creation—ensuring data is properly scrubbed, documented, and useful.

Join Playlab as a Staff Fullstack EngineerAt Playlab, we are a pioneering tech non-profit focused on empowering educators and students to become adept consumers and creators of AI technologies.Our mission is grounded in a community-driven, open-source philosophy that leverages AI's potential in the educational sector. We provide educators and students with innovative AI tools and comprehensive professional development, enabling them to create customized AI applications tailored to their unique environments. With over 60,000 educators already utilizing our platform to publish applications, our impact is rapidly expanding.We envision AI as a transformative design material that should be collaboratively shaped to materialize diverse educational ideas. If you are enthusiastic about crafting equitable and imaginative futures for learners and educators alike, we invite you to be a part of our journey.About the RoleWe are seeking a talented Staff Fullstack Engineer to enrich our dynamic Engineering team. In this role, you will explore and redefine AI-native experiences, innovate new interfaces for AI interactions, construct user-friendly tools for educators to create applications without coding, and develop scalable systems for educational institutions.Key ResponsibilitiesDevelop cutting-edge AI-native interfaces that adapt seamlessly from chat to writing editors to interactive simulations.Design and implement a core application builder enabling educators to create AI applications through natural language processing.Facilitate real-time collaboration features allowing multiple educators to co-create applications.Engineer systems that empower educators to develop sophisticated AI agents for educational objectives.Implement voice interfaces and mobile-first experiences tailored for diverse connectivity environments, from rural schools to advanced classrooms.Create platforms for discovering and sharing applications among educators, nurturing a vibrant creator community.Integrate with existing educational platforms such as Google Workspace and Canvas LMS.ExpectationsArchitect and deliver subsystems throughout the full stack, from React/Remix frontend to Node.js backend, integrating with Python AI services.Adopt an agile approach to rapidly test and implement successful experiments, investing in production when validated.

Join Our Mission at PlaylabPlaylab is a pioneering tech non-profit focused on empowering educators and students to become informed consumers and creators of artificial intelligence.We firmly believe in an open-source, community-centered approach to unlocking AI's potential in education. Our aim is to provide communities with innovative AI tools and hands-on professional development, enabling educators and students to create custom AI applications tailored to their unique needs. To date, over 60,000 educators have successfully published applications on Playlab, with our impact expanding daily.At Playlab, we view AI as a transformative design material that should be molded by diverse voices to realize their educational visions. If you are passionate about fostering creative and equitable futures for students and teachers, we invite you to be part of our journey.Your RoleWe are looking for a Director of Engineering who will spearhead the growth of our platform, infrastructure, and product engineering teams. In this transformative leadership position, you will enhance our team's capabilities, ensuring that our engineers excel in their craft and deliver impactful systems.This role is hands-on and requires significant technical expertise in infrastructure and systems design. While you may not be coding daily, your technical credibility is vital for unblocking engineers, guiding architectural choices, and providing effective mentorship. Your primary focus will be on team management, fostering individual growth, and cultivating a culture and processes that enable swift progress on complex challenges.You will work closely with the Head of Machine Learning, collaborate with product and design teams, and report directly to the CTO. Additionally, you will play a key role in integrating AI throughout our engineering workflows, as we strive to set a global standard for utilizing AI in software development. Our scope is not limited to the U.S.; we have active projects worldwide, contributing to public domain initiatives ranging from educational safety models to research infrastructures and self-hosted deployments.Key ResponsibilitiesOversee daily operations of the engineering team, including conducting 1:1s and meaningful career development discussions.Facilitate weekly tactical coordination across projects, ensuring the team remains aligned and agile in achieving multiple objectives.Collaborate with the CTO on technical strategy, architectural decisions, and the engineering roadmap.Work alongside the Head of Machine Learning to synchronize platform and ML engineering efforts.

Role Overview tetrix is hiring a Staff Backend Engineer in New York City. This role focuses on building and maintaining scalable backend systems with Python. The position works closely with colleagues across different teams to deliver software that serves a wide range of clients. What You Will Do Design, implement, and support backend services using Python Collaborate with engineers, product managers, and other stakeholders to deliver reliable solutions Contribute technical expertise to improve and evolve backend architecture

Join our dynamic team as a Staff Engineer specializing in Python at Nagarro. This fully remote position allows you to contribute to innovative projects that shape the future of technology. As a vital member of our engineering department, you will leverage your expertise in Python programming to develop scalable solutions and mentor junior engineers.

OpenSea is at the forefront of web3’s evolution, where NFTs, fungible tokens, and innovative digital assets come together to form decentralized, user-driven economies. As a pivotal entity in the crypto landscape, we are crafting the infrastructure that will empower millions of users and redefine how digital value is discovered and exchanged.Our team, though compact, is exceptionally dynamic: hands-on, quick to adapt, and wholly dedicated to delivering impactful work. We prioritize a remote-first culture, leverage AI to enhance productivity, and uphold core values centered on ownership, trust, and continuous improvement. At OpenSea, you’ll be encouraged to accelerate your growth while being supported by a highly skilled team that is pioneering the future of cryptocurrency.We are in search of a passionate and detail-oriented Staff Backend Engineer who is eager to design, develop, and scale advanced, well-tested applications using modern technologies. This role will take the lead on core functionalities within the OpenSea 2.0 backend.Key ResponsibilitiesDevelop and communicate a technical vision for the next generation of OpenSea’s architecture, utilizing highly scalable and event-driven design principles.Create reliable, low-latency marketplace infrastructure software capable of processing billions of dollars in daily transaction volume, including efficient blockchain indexing systems, large-scale order management systems, and REST & Websocket API endpoints.Enhance internal understanding of best practices for developing high-performance and event-driven systems with real-time capabilities.Mentor team members and serve as an internal thought leader to advocate for architectural excellence and cleanliness.QualificationsMinimum of 6 years of experience in software engineering.Proficient in event-driven architecture and system design patterns, including technologies like Kafka, Flink, and Debezium, as well as general distributed systems.Strong command of JVM languages such as Kotlin or Java.Expertise in database selection and schema design for building high-performance and scalable applications.Intrinsic motivation to leverage new tools (e.g., AI) to enhance efficiency and quality of work.A deep-seated passion for blockchain technology, NFTs, and the potential of digital ownership is a significant advantage.

Join Playlab as a Senior Product ManagerAt Playlab, we are at the forefront of educational technology, empowering educators and students to become critical consumers and creators of AI.As a tech non-profit, we are committed to an open-source and community-driven approach to harness the potential of AI in education. With over 60,000 educators creating and publishing custom AI applications through our platform, we are transforming educational landscapes and fostering innovation in classrooms worldwide.In this pivotal role, you will be the first dedicated Product Manager at Playlab, taking on a hands-on, high-ownership position where your contributions will directly impact how educators and students interact with AI tools.Your ResponsibilitiesExpand Capabilities: Enhance Playlab’s offerings by introducing new components and features that will allow users to build applications that suit their unique needs.Enhance Contextual Understanding: Develop Playlab into the most intuitive tool that understands user context, building upon our existing curriculum knowledge graphs.Establish Safety Standards: Position Playlab as the benchmark for responsible AI in education, ensuring user safety through robust platform measures.You will work closely with our CTO, engineering, ML, and design teams to implement our strategic roadmap, translating ideas into tangible products while adapting our strategy based on user feedback and insights.This is a unique opportunity for someone who thrives in an ambiguous, fast-paced environment. As Playlab continues to grow, you will play a crucial role in shaping our product processes and culture.

The OpportunityAre you a seasoned Staff Software Engineer, Backend (Infrastructure) eager to drive transformative change at the convergence of scalable web services and state-of-the-art AI technologies? Join us at Otter.ai, where we are on the lookout for a skilled engineer to spearhead the development, deployment, and oversight of web services and infrastructure that fuel our AI-driven products and initiatives. In our vibrant engineering team, you will collaborate closely with AI researchers, product managers, and technology experts to deliver innovative solutions that significantly enhance the experiences of end-user professionals and enterprise clients across various sectors.Your ImpactUtilize your vast expertise in Python to design and refine backend systems that seamlessly integrate with machine learning and AI functionalities.Craft and execute robust business logic using web frameworks such as Django, ensuring full compatibility with AI components and integration with MySQL.Architect scalable solutions employing technologies like Nginx, Kafka, MySQL, Cassandra, Redis, and big data platforms to support advanced AI models and workflows.Produce reusable, efficient, and maintainable code that underpins our high-performance applications, delivering exceptional user experiences.

About UsAt Tango, we realized there had to be a more efficient way to automate tedious tasks and enhance productivity. So, we took action and created a solution.With Tango, you can easily create and share how-to guides in just minutes:▶ Capture any process in real-time. Tango automatically generates a comprehensive guide and can also create automations or in-app guidance. You can share, embed, or pin these guides within your existing tools for easy access by your team.As a rapidly growing, product-led startup, Tango supports hundreds of thousands of users from prestigious companies such as Cox, Salesforce, Gusto, Klaviyo, and Verizon. We are proudly backed by leading venture capital firms like Slack Fund, Salesforce Ventures, Atlassian Ventures, Wing VC, General Catalyst, GSV Ventures, Tiger Global, and Hubspot, and we are on an exciting growth trajectory.We envision a future where Tango learns your workflows and rules while leveraging automation and intelligent agent capabilities to manage routine tasks effectively.Join us in building this innovative future.TL;DRAs a Staff Backend Engineer at Tango, you will be instrumental in developing a workflow intelligence platform designed to significantly enhance team productivity and redefine how work is accomplished. You will collaborate closely with a talented and diverse team, utilizing a modern tech stack that includes serverless cloud architecture components such as Appsync, CDK, Lambda, GraphQL, and DynamoDB. Your contributions will have a substantial impact on our product roadmap, working alongside founders and senior team members from backgrounds in Uber, Amazon, Slack, Docker, Coinbase, Square, and Harvard Business School.This is a remote position based in the US!

Why Weave ExistsAt Weave, we are on a mission to revolutionize the way therapeutic knowledge is captured, transformed, and communicated throughout the drug development process. Our innovative approach combines human expertise with advanced AI tools to accelerate the delivery of safe and affordable medications to patients.The Weave Platform enhances regulatory workflows at every stage by seamlessly integrating AI technology. Partnering with our clients, Weave is dedicated to creating the ultimate AI workbench for the entire therapeutic lifecycle.The Role & Your MissionWe are seeking a talented Staff Backend Engineer to join our engineering team, reporting directly to the Backend Engineering Manager. This role requires navigating between data, AI, and backend systems to ensure the stability, performance, and reliability of our AI systems. You will be responsible for developing innovative solutions to customer challenges, analyzing outcomes, and deploying these solutions into production. Success in this position hinges on your ability to transition smoothly from conception to experimentation, testing, and production. We prioritize effective problem-solving over trends, favoring straightforward, well-tested solutions that are reliable yet impressive.What You Will OwnUnderstanding customer challenges and creating straightforward solutionsCollaborating with Product and Design teams to rapidly identify solutionsWriting efficient, maintainable code using Django, Python, Postgres, and RedisManaging ongoing technical complexities while delivering value on product initiativesWhat You'll BringExperience in an early-stage, product-focused startup environment (fewer than 50 employees)Over 8 years of experience with Django in a production settingPractical experience using LLMs in productionAbility to interact directly with LLMs without the use of abstraction librariesA humble, hungry, and intelligent approachCapacity to work quickly while delivering high-quality outcomesPragmatic and analytical thinking with efficient decision-making skillsBonus: Experience working on products in regulated domains or with critical data privacy and security requirementsBachelor's degree in Computer Science or a related field preferred

Join Sound.xyz as a Staff Backend Engineer and play a pivotal role in shaping an innovative music economy that prioritizes artists and fosters closer connections between fans and their favorite music.In this role, you will steer the technical direction of our engineering team while also contributing directly to our codebase. Your responsibilities will include architecting and leading new projects, designing and implementing robust API layers, and enhancing our performance and reliability as we scale our product and organization. You will influence the development of core song and artist pages for listening parties, web3 economic tools (NFTs, splits), and community governance and membership tools, empowering the next generation of crypto-native artists and their communities. Your insights will directly affect product decisions and user experiences.

About Scribd:At Scribd Inc. (pronounced “scribbed”), we are driven by a mission to ignite human curiosity. Join our innovative team as we cultivate a universe of stories and knowledge, democratize the sharing of ideas and information, and empower collective expertise through our diverse products: Everand, Scribd, Slideshare, and Fable.This position is an officially approved, open role within our organization.We foster a culture where authenticity and boldness thrive; where discussions lead to commitment as we embrace unexpected challenges; and where every team member is empowered to take initiative with a steadfast focus on our customers.Our workplace structure emphasizes a balance between individual flexibility and community engagement. Through our flexible work initiative, Scribd Flex, employees can collaborate with their managers to design a work style that best suits their needs. Our approach prioritizes intentional in-person moments to strengthen collaboration, culture, and connection. Therefore, occasional in-person attendance is a requirement for all Scribd Inc. employees, regardless of their location.What do we seek in our new team members? We value “GRIT.” The essence of GRIT is the blend of passion and perseverance towards achieving long-term goals. At Scribd Inc., we believe in the immense potential this can unlock and encourage our employees to adopt a GRIT-driven approach to their work. In practical terms, GRIT also serves as an acronym that highlights the standards we uphold: we are searching for candidates who can set and achieve Goals, deliver Results in their responsibilities, contribute Innovative solutions, and positively impact the broader Team through collaboration and attitude.About the Team:The ML Data Engineering team is at the forefront of metadata extraction, enrichment, and content understanding across all Scribd brands. Our team processes hundreds of millions of documents and billions of images, providing high-quality metadata that enhances content discovery and trust for millions of users globally.Operating at scale, our systems manage diverse datasets including user-generated content (UGC), ebooks, audiobooks, and more. We work at the intersection of machine learning, data engineering, and distributed systems, closely collaborating with applied research and product teams to deploy scalable machine learning solutions.

About WorkWhileAt WorkWhile, we are dedicated to empowering workers to achieve better livelihoods and enhance their quality of life. Over 80 million Americans are employed in hourly positions, often facing inconsistent schedules and minimal wages that contribute to financial uncertainty.We are transforming the landscape of frontline work by fostering a more adaptive and productive labor market. Leveraging artificial intelligence, the WorkWhile platform provides businesses with immediate access to top-tier talent. Our workers enjoy benefits such as same-day pay, complimentary telehealth services, skill development opportunities, and the flexibility to select shifts that suit their expertise and availability.Our ambitious vision aims to align incentives and address inefficiencies within the labor market, challenging the $650 billion staffing and recruiting sector. Supported by Khosla Ventures and recognized by Inc. 5000 for remarkable growth, WorkWhile is redefining the future of work.

Join our innovative team as a Staff Software Engineer (Backend) focusing on payments at Toast, where you'll play a critical role in developing solutions that enhance our payment processing capabilities. We are looking for a talented engineer who is passionate about building scalable and robust backend systems.You will collaborate with cross-functional teams to design, implement, and maintain backend services that ensure seamless transactions for our customers. If you thrive in a fast-paced environment and are eager to tackle complex challenges, we want to hear from you!