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At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Marketplace teams are at the heart of our products and decision-making, owning everything from rider pricing to driver earnings, incentives, and efficient matching. We’re looking for passionate, driven engineers to build systems that empower our riders and drivers to have the best transportation experience possible through prediction, adaptivity, and personalization. We’re looking for someone who is excited about working in a fast-paced, innovative, and impactful environment to create reliable solutions to distributed computing, ML, and data problems. The Pricing team is a centerpiece of Lyft’s Marketplace org, determining prices for all rideshare products and supporting new initiatives. We work with Product & Science to solve and implement complex pricing requirements, balancing the needs of riders, drivers, and the business goals. As an owner of one of the most critical flows in the company, you will work on a wide array of challenges such as latency-sensitive concurrency problems, large scale distributed systems, and experimentation. If you’re interested in playing a large part in demand / supply management and improving the Lyft customer experience, this could be a great fit for you. Responsibilities: Help define the roadmap and architecture based on technology and business needs Unblock, support, effectively communicate, and obtain buy-in across teams to achieve results Lead projects of multiple people from idea to positive execution Write clear, scalable and clear design documentation Write well-crafted, well-tested, readable, maintainable code Utilize your expertise in Python, Golang, AWS to deliver robust and scalable solutions Participate in code reviews to ensure code quality and distribute knowledge Proactively participate in resolving ongoing incidents Share your kno

The Product team builds features end-to-end. From designing our data models to implementing the subtle interaction behaviors that differentiate good software from great software. We work closely with UI designers and are supported by our infrastructure team. We aim to delight users with both large new features and smaller, daily product enhancements—thanks to our continuous deployment architecture. We want to create a superlative user experience, down to the smallest details. Asana’s ecosystem includes a wide range of powerful apps that extend its capabilities and integrate it seamlessly into our users’ workflows. These apps help establish Asana as the shared collaboration infrastructure our customers use to get things done, spanning the full breadth of domains and departments. The Functional Integrations team in the Platform Area owns integrating Asana with the most valuable function-specific (think Operations, Marketing, or IT) tools, enabling experts on those teams to effectively share and communicate their work to the company as a whole. We’re looking for full-stack engineers who care deeply about customers and are passionate about building products that improve the way millions of teams work together. As a member of the team developing the software of a product-led company, you won’t just code — you will be an integral part of the entire product development process, from conception to post-launch reflection. This role is based in our Warsaw office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do, and your recruiter can share more about the in-office requirements. Our employees in Poland are employed under a contract of employment. What you’ll achieve As a full-stack engineer, you get to build and own a broad swath of the product: everything from creating a compelling user interfa

The Product team builds full-stack features end-to-end. From designing our data models to implementing the subtle interaction behaviors that differentiate good software from great software. We work closely with UI designers and are supported by our infrastructure team. We aim to delight users with both large new features and smaller, daily product enhancements—thanks to our continuous deployment architecture. We want to create a superlative user experience, down to the smallest details. This role is based in our New York City office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve You will work full-stack to develop new features used by millions of Asana users Participate in every step of the product development process with an open and curious team Develop clean, beautiful code and leave it better than you found it Experience growth and development by being paired with a mentor who will support and guide you through opportunities to stretch and learn About you 5+ years of experience working within large, well maintained codebases Experience using Typescript and React Excellent communication skills for collaborating with other teams Sound judgment when balancing moving quickly with producing quality code and long-term code maintainability Passionate about creating a superlative user experience and attentive to details Appreciate productivity and care deeply about helping teams collaborate more effectively and efficiently, including your own Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making At Asana, we're committed

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Our core philosophy is to empower developers to self-serve rather than be bottlenecked by a central quality team. We believe that by creating smart, automated tooling, we can eliminate common roadblocks, making developers happier and more productive. The Rider Quality team is focused on elevating quality, testing, and accessibility across our mobile platforms. We are currently shifting our strategy to heavily leverage automation and AI to revolutionize how we approach testing. We're not doing traditional QA - we're building the future of quality engineering. This is a chance to step into a Senior role where you won't just write code; you'll design systems that define how hundreds of engineers deliver product faster, happier, and with fewer bugs. We are fundamentally shifting away from manual processes and existing automation frameworks that struggle to keep up, betting heavily on Artificial Intelligence and agentic frameworks to drive a massive "shift left" in our organization. Success in this role is measured by tangible impact, including increased developer satisfaction, engineering hours saved, and bugs/incidents avoided in production. We are seeking a highly skilled and innovative Senior Software Engineer to join our team. You will be instrumental in building the next generation of our quality assurance platform. You will be responsible for designing and developing advanced AI-powered tooling for test case generation, review, and execution. Your work will directly impact our ability to provide fast, actionable feedback to developers, "shifting left" to ensure quality from the earliest stages of development. You will play a key role in integrating these tools into our existing developer workflows, ensuring seamless adoption and maximum impact. We are looking for someone with a strong background in

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft is looking for an experienced Backend Engineer from a scope of disciplines. We are growing our team with people who want to build, improve and incorporate technologies that make the lives of our community more enriched. As an engineer at Lyft, you'll collaborate with teams like product, data science, analytics, and operations on code that empower us to iterate quickly, while focusing on delighting our passengers and drivers. About the Team: The Business Travel team enable organizations to provide customized ride benefits at scale - whether that's employees expensing business trips and earning rewards. As a backend engineer, you'll build systems that power complex benefit rules, location restrictions, and integrations with expense providers like Concur and Expensify. This is a high-growth area for Lyft with meaningful impact potential. Responsibilities: Write well-crafted, well-tested, readable, maintainable code Have the ability to explain the various trade offs made in decisions Participate in code reviews to ensure code quality and distribute knowledge Implement tasks with good quality code leading to positive execution Participate in resolving ongoing incidents Unblock, support, effectively communicate, and obtain buy-in within your team to achieve results Experience: 5+ years of software engineering experience, with a track record of designing and shipping production systems at scale Strong system design instincts — you can reason through distributed systems trade-offs, identify failure modes, and choose the right architecture for the problem Practical experience with AI development to improve product experiences Hands-on experience with large-scale, fault-tolerant distributed systems in a cloud environment (AWS, GCP, or Azure) Proficiency in object-oriented programming; experience with the

Who we are About Bridge We're creating an entirely new payments platform, built with stablecoins, to simplify global money movement. Bridge enables faster, cheaper payments and borderless access to dollars via stablecoins. Through our APIs, businesses can send and receive funds across borders faster and cheaper vs. SWIFT and other fiat-only rails. Our virtual accounts enable international consumers and businesses to easily access, store, and spend US dollars. Our payouts infrastructure enables platforms to disburse USD to anyone globally. We believe many trillions of dollars will move and settle through stablecoin payment rails. Bridge is pulling this future forward. We have a small team of people who have previously built financial infrastructure at some of the world's leading companies (Coinbase, Stripe, Square, Brex, Upstart, DoorDash, Airbnb), and each and every one of them chose Bridge because they fundamentally believe that stablecoins will be a critical piece of financial infrastructure that allows for the improvement of global money movement. About the Role As one of the first blockchain engineers at Bridge, you'll have the autonomy to work on projects that are truly global in scale and aim to give customers access to products they've never had access to. Many of the use cases that we work on today didn't exist several months ago, and that's because our team is dedicated to constant improvement for our partners and end users. Our engineers have outsized ownership over projects, so if you're looking for increased autonomy working on a completely greenfield opportunity, Bridge is the place for you. Responsibilities • Build out multi-chain hot wallet infrastructure to support increased reliability of our payments. • Build smart contracts to increase hot wallet payment throughput. • Build smart contract platform to issue custom stablecoins across multiple blockchains (EVM, Solana, Stellar, etc.). • Build smart contract monitoring systems to detect anomalous even

Who we are About Bridge We're creating an entirely new payments platform, built with stablecoins, to simplify global money movement. Bridge enables faster, cheaper payments and borderless access to dollars via stablecoins. Through our APIs, businesses can send and receive funds across borders faster and cheaper vs. SWIFT and other fiat-only rails. Our virtual accounts enable international consumers and businesses to easily access, store, and spend US dollars. Our payouts infrastructure enables platforms to disburse USD to anyone globally. We believe many trillions of dollars will move and settle through stablecoin payment rails. Bridge is pulling this future forward. We have a small team of people who have previously built financial infrastructure at some of the world's leading companies (Coinbase, Stripe, Square, Brex, Upstart, DoorDash, Airbnb), and each and every one of them chose Bridge because they fundamentally believe that stablecoins will be a critical piece of financial infrastructure that allows for the improvement of global money movement. About the Role As an early member of the Bridge engineering team, you'll have the autonomy to work on projects that are truly global in scale and aim to give customers access to products they've never had access to. Many of the use cases that we work on today didn't exist several months ago, and that's because our team is dedicated to constant improvement for our partners and end users. Our engineers have outsized ownership over projects, so if you're looking for increased autonomy working on a completely greenfield opportunity, Bridge is the place for you. Responsibilities • Ship software to build out our suite of API products. We're an engineering and API-first company, and you'll learn first-hand and contribute towards building highly reliable, performant, and business-critical infrastructure serving thousands of developers across the globe. • Take sole ownership of projects, oftentimes without the support of Product

Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! At Figma we believe design doesn’t end in a file or with your designer - it includes everything that goes into the product you ship: the production code that ties it all together, the systems and developer tools that make that code reliable, the context you provide to our AI agents, and the documentation that keeps everyone on the same page. The Code Area at Figma is redefining how Designers, PMs and Engineers collaborate. We are responsible for agentic workflows enabling ideation and prototyping on production codebases as well as accelerating the journey from design to code. In 2023, we launched Dev Mode , a suite of features that give developers everything they need to navigate design files and transform designs into code. In 2025, we introduced Figma’s MCP , accelerating how ideas get to production. Looking to the future, we aim to further reduce the barriers between design to code and code to design allowing ideation, prototyping and productionisation to happen seamlessly where it most makes sense. Our Code organization is expanding, and we’re hiring AI Product Engineers across multiple levels in the UK. We’re looking for people who have built generative AI products and are eager to lead AI efforts end-to-end, from early ideas to production. Join us in shaping the future of AI at Figma! What you’ll do at Figma: Build and evolve Dev Mode our MCP tools and Make Figma’s leading tools for dev/design collaboration Take part in building new 0→1 products within the agentic coding space Collaborate

Senior Software Engineer, Applied AI About Syllo Syllo is on a mission to transform litigation. Our product is a unified litigation platform that enables lawyers and paralegals to safely harness the power of language models and agentic AI throughout the litigation life cycle. Since going to market, we have gained a diverse group of enterprise customers, including some of the biggest law firms and corporations in the country, and we are quickly expanding. By reducing the expense of litigation industry-wide, we aim to improve access to high-quality representation and promote the alignment of legal outcomes with merit. About the Role We are seeking a skilled and fast-moving Applied AI Engineer to join our team. This role is focused on the practical application of AI, specifically leveraging Large Language Models (LLMs), to build robust, scalable, and impactful user-facing features. This is an engineering-centric role. You will be an expert at building and integrating production systems, not primarily a research scientist. Responsibilities Design and build high-performance, production-level AI-powered features and services, with a focus on reliability and scalability. Develop robust engineering solutions to mitigate the inherent unreliability of LLMs. This includes implementing effective guardrails, validation pipelines, error handling, caching, and failover/fallback mechanisms to ensure a high-quality user experience even when the model misbehaves. Design long-running batch processing that is idempotent, resumable, and resilient to individual item failures. Focus on optimizing latency, throughput, and cost efficiency for all AI-powered services. Serve as an engineering expert in integrating models and data feeds with existing business logic and APIs. Define and implement evaluation for AI feature output quality, not only system correctness. Implement rigorous testing strategies, including unit, integration, and performance testing, to ensure the robus

This is a core backend software engineering role (70% SWE / 30% Data) within our Mapping organization. You will focus primarily on building high-throughput services, distributed system architecture, and APIs, while leveraging large-scale spatial data to power Lyft's routing and mapping products. Note: This position focuses on backend service architecture and platform scalability rather than traditional ETL, BI, or data modeling pipelines. At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. As a Senior Software Engineer, Data on the Mapping team, you will collaborate with our world-class team of engineers, product managers, and scientists to grow and improve the quality of recommended routes and accuracy of our travel time estimations. You will lead the architecture and long-term technical direction of our offline experimentation tooling and route simulation services — the systems that let Lyft test routing changes safely before they reach production. You'll also build scalable data pipelines for experimentation, analytics, and machine learning models, along with the data governance and observability systems that keep them trustworthy. Your work will enable integration with partner teams and allow stakeholders across Engineering, Data Science, and Product to make data-informed decisions that directly impact Lyft’s growth and profitability. Our technology stack is based on the latest technologies such as AWS, Databricks, Kubernetes and Airflow. You will work with incredibly passionate and talented colleagues from software engineering, machine learning and data science on projects that directly impact millions of riders and drivers. Responsibilities Own core data pipelines end-to-end, building deep subject matter expertise in the systems you manage and defining/managing SLAs for pipelines, services, and datasets to ensure reliability at scale Serv

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. What You’ll Do: As a Senior Backend Engineer on the Avatar Marketplace team, you will be building an international marketplace for millions of virtual items that users acquire to customize their avatars and identities on the Roblox platform. You will design, implement, and operate the frameworks and services you and the team build that help control the supply and demand of the Roblox economy. The team is responsible for building systems that will help content creators become more successful sellers. With over 90 million daily active users (and growing), we are looking for an experienced engineer who is passionate about designing and building scalable systems for both sides of the marketplace. The Marketplace Foundation team's focus is to provide reliable and scalable solutions for critical systems supporting both Avatar Marketplace creators and users. We aim to invent new and evolve existing core concepts to support new and future use cases in a holistic manner, such as Bundles, Limiteds, and Price Optimization. We help the creators to improve their earning while scaling Roblox's economy. The team is also responsible for ensuring 10x scalability headroom on critical Marketplace system

About Us What if your work could drive change in a globally established industry, shaping processes that touch every corner of the world? At Forto, we are at the forefront of change, harnessing the power of AI to revolutionise logistics. We want to reinvent digital supply chains to be transparent, frictionless and sustainable. From day one, our mission has been to simplify global trade – creating a seamless and efficient logistics process. Your role & Mission The mission of the Flash team at Forto is to fundamentally redesign operations processes by leveraging automation and intelligent decision-making to handle shipments more efficiently. We aim to scale CoPilot so that it becomes the primary system used by operations managers, enabling them to be more effective and efficient in their daily work. As a Senior Software Engineer in the Flash team, you will help build AI-driven solutions and the CoPilot that powers our logistics operations. You will maintain and evolve a sophisticated event-driven, distributed architecture designed to answer one key question: How do we improve shipment handling and bring efficiency to our operations teams at scale? From quotation and rate management, to shipment execution and schedule optimization (capacity utilization and GP optimization), to carrier integrations and automated data extraction from unstructured sources (emails, PDFs, spreadsheets), this role focuses on building reliable, data-heavy systems that directly impact revenue and operational performance. What you will do Design, build, and evolve scalable and resilient backend systems Contribute to an event-driven, distributed architecture Work on AI-adjacent systems (integration, orchestration, data-heavy workflows) Own services end-to-end (design, implementation, documentation, operation) Collaborate closely with product managers, operations, and other engineers Communicate clearly with stakeholders and explain technical trade-offs Contribute to technical standards and b

About Syllo Syllo is on a mission to transform litigation. Our product is a unified litigation platform that enables lawyers and paralegals to safely harness the power of language models and agentic AI throughout the litigation life cycle. Since going to market, we have gained a diverse group of enterprise customers, including some of the biggest law firms and corporations in the country, and we are quickly expanding. By reducing the expense of litigation industry-wide, we aim to improve access to high-quality representation and promote the alignment of legal outcomes with merit. About the Role We’re looking for a Staff Engineer who will be a key member of a new Systems team at Syllo that will own Platforms, Frameworks, Tools, Patterns, and Architecture. This person will not only contribute directly to technical design and implementation but also foster a collaborative, high-performing environment where engineers can grow, learn, and thrive. Responsibilities Design, implement, and manage scalable cloud-based infrastructure using Kubernetes, Pub/Sub, and other relevant technologies. Collaborate with our AI team to optimize data pipelines and integrate AI technologies to remove performance bottlenecks. Refactor existing systems to enhance scalability, including transforming stateful components into stateless ones, and applying extensive autoscaling and auto-repair mechanisms. Lead efforts on data ingestion and export processes, improving efficiency and reducing dependencies on legacy technologies. Drive platform reliability initiatives, including enhancing alerting, health checking, and incident management. Champion continuous improvement efforts, including cost control measures and technological upgrades. Oversee the development of internal tools that streamline workflows and reduce duplication of effort in development environments. Ensure the platform meets rigorous testing and security stand

About Syllo Syllo is on a mission to transform litigation. Our product is a unified litigation platform that enables lawyers and paralegals to safely harness the power of language models and agentic AI throughout the litigation life cycle. Since going to market, we have gained a diverse group of enterprise customers, including some of the biggest law firms and corporations in the country, and we are quickly expanding. By reducing the expense of litigation industry-wide, we aim to improve access to high-quality representation and promote the alignment of legal outcomes with merit. About the Role We are seeking a Staff Software Engineer to take ownership of our advanced search, indexing, and data scanning infrastructure as we scale to the next echelon of data volume. Our retrieval stack is robust and proven, but as our ingest sizes push into the multi-petabyte range, the complexity of balancing speed, availability, and cost increases exponentially. You will own this constellation of scaling challenges. Your mission is to continuously optimize and evolve our systems—ensuring our hot indexes maintain sub-second latency for interactive workflows, while simultaneously designing highly concurrent, cost-effective architectures for deep scanning and vectorizing massive volumes of cold-storage data. You will lead the design and implementation of sophisticated data tiering and retrieval strategies that keep our platform operating at peak performance without inflating cloud compute costs. Responsibilities Scale the Retrieval Stack: Lead the optimization and architectural evolution of our existing hybrid search infrastructure, maximizing the throughput and efficiency of both lexical search (e.g., Elasticsearch, Lucene) and dense vector databases. Advanced Data Tiering & Scanning: Design and implement intelligent, cost-effective tiering strategies across hot, warm, and cold data states. Evolve our distributed pipelines to efficiently exec

About Syllo Syllo is on a mission to transform litigation. Our product is a unified litigation platform that enables lawyers and paralegals to safely harness the power of language models and agentic AI throughout the litigation life cycle. Since going to market, we have gained a diverse group of enterprise customers, including some of the biggest law firms and corporations in the country, and we are quickly expanding. By reducing the expense of litigation industry-wide, we aim to improve access to high-quality representation and promote the alignment of legal outcomes with merit. About the Role As we continue to scale our AI platform, we're investing in our own inference stack to deliver best-in-class performance, reliability, cost efficiency, and flexibility across the latest generation of open-source language models. We're looking for a Staff Software Engineer to spearhead this effort. You'll define the architecture, evaluate emerging technologies, and build the systems that power model serving. You'll partner closely with machine learning, infrastructure, and product engineering to establish the foundation for how AI models are deployed, optimized, monitored, and operated in production. This is a highly hands-on technical role. You'll spend the majority of your time designing, building, and optimizing production systems while helping shape our long-term AI infrastructure strategy. Responsibilities Lead the design and development of our production inference platform. Define the technical roadmap for inference infrastructure, model serving, and runtime optimization. Build and operate scalable, cost-effective systems for serving large language models in production. Evaluate and integrate modern inference technologies, frameworks, and serving runtimes. Optimize latency, throughput, GPU utilization, memory efficiency, and infrastructure cost. Develop systems for model deployment, traffic routing, autoscaling, scheduling, observabil