Senior Engineering Lead Jobs

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. The Engineering Acceleration Foundations team delivers a world-class development experience to our 2000+ Roblox teammates who write, build, and ship the most incredible virtual experience platform in the world. As a Senior Software Engineer within our Engineering Acceleration team, you will be deep in the middle of transforming development at Roblox from its solid roots to a fully scaled, globally mature, AI-native platform for empowering engineers. If you are passionate about engineering productivity and you’ve ever wanted to have company-wide impact where you can design, code, and make decisions that fundamentally change how things are done - this is your opportunity! You Will: Support, scale, secure and redefine Roblox’s development cycle including source control, code search, artifact creation and distribution, and local and remote development infrastructure for the next 10 years of growth. Help create software that improves the lives of your coworkers with new local development tools, internal web apps and microservices, reusable CI workflows, productivity metrics toolchains, and integrations across many 1st and 3rd party tools. Collaborate on efforts improving the productivity and use

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. The Engineering Acceleration Foundations team delivers a world-class development experience to our 2000+ Roblox teammates who write, build, and ship the most incredible virtual experience platform in the world. As a Senior Software Engineer within our Engineering Acceleration team, you will be deep in the middle of transforming development at Roblox from its solid roots to a fully scaled, globally mature, AI-native platform for empowering engineers. If you are passionate about engineering productivity and you’ve ever wanted to have company-wide impact where you can design, code, and make decisions that fundamentally change how things are done - this is your opportunity! You Will: Support, scale, secure and redefine Roblox’s development cycle including source control, code search, artifact creation and distribution, and local and remote development infrastructure for the next 10 years of growth. Help create software that improves the lives of your coworkers with new local development tools, internal web apps and microservices, reusable CI workflows, productivity metrics toolchains, and integrations across many 1st and 3rd party tools. Collaborate on efforts improving the productivity and use

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. Your Location: This position is CHINA BASED . The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. Your recruiter will inform you what cities you are able to work from depending on your personal legal working identity and Airbnb internal policies. The Community You Will Join: Machine Learning and Artificial Intelligence are at the heart of the Airbnb product. From Trust to Payments, and from Customer Service to Marketing we rely on ML to ensure that guests and hosts have the best possible experience with Airbnb. The Community Support Products (CSP) Machine Learning team is the core team responsible for driving CSxAI (Customer Support x Artificial Intelligence) initiatives by adopting the Generative AI technologies to enable an intelligent, scalable and exceptional service experience. The team develops and enhances various AI models, ML services and tools including LLM fine-tuning and optimization, RAG/Search, LLM evaluation and testing automation, feedback-based learning and guardrail for a wide range of applications in Airbnb. The richness of Airbnb's data, the complexity of its marketplace and the variety innate in our product mean that we need to operate at the state of the art of AI practice. We are committed to investing in long term innovation to solve the complex problems we face, and to do that we need the very best experts in ML and AI to join us. The Difference You Will Make: We believe our current customer experiences in these domains are only scratching the surface of the innovations that are possible

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. We seek a highly specialised technical Senior Security Architect (SA) who practices security with an obsession for helping customers design and implement the best security mechanisms, particularly those that would relate to the Snowflake AI & Data Cloud. At Snowflake, Security Architects are passionate about security, often involving tremendous technology challenges that require no simple solutions. Success requires working collaboratively with a broad range of people inside and outside the company. Operating out of our APJ Field CTO Office , you will serve as our primary South Korean Security expert, who will be a cloud compliance evangelist, technical architect, and hands-on practitioner. This specialized role bridges the gap between global cloud data architecture and South Korea’s rigorous, localized regulatory frameworks, specifically the Cloud Security Assurance Program (CSAP) and the Korea Financial Services Institute (K-FSI) Safety Evaluation. IN THIS ROLE YOU WILL GET TO: Help to scope security related feature enhancements on behalf of customers to work with Product Management and Engineering on ways to enhance requirements for the local market. Help drive Snowflake adoption by advising customers and engineering teams on how to build secure Korea-compliant Data

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Our Sales Engineering organization is seeking an AI Specialist who can provide hands-on expertise and support while working with technical decision makers and data scientists to design and architect AI solutions built on the Snowflake AI Data Cloud. This is a strategic role that works closely with cross-functional teams, including product, engineering, and the broader field organization to ensure successful execution and customer adoption of Snowflake’s AI & ML solutions. IN THIS ROLE YOU WILL GET TO: Be the technical expert in the room that positions Snowflake’s AI and ML features and value to technical stakeholders at Snowflake’s customers across the APJ region. Partner with Snowflake account team teams and customer champions to scope and drive POCs to success and technical wins that prove the value of Snowflake’s capabilities, including executive readouts and business value cases. Collaborate with Snowflake’s product and engineering teams to influence Snowflake’s AI and ML roadmaps based on customer feedback. Publish content that helps the team and company scale beyond your individual efforts, like blog posts, presentations at conferences, or technical collateral like notebooks and demos. Influence, tailor and maintain Sales Engineering AI and ML selling assets, incl

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Build the future of the Data Cloud. Our Solution Engineering organisation is seeking a Data Platform Architect, Postgres, who can provide hands-on expertise and support while working with technical decision makers to design and architect transactional solutions built on the Snowflake Data Cloud. This is a strategic role that works closely with cross-functional teams, including product, engineering, and the broader field organisation to ensure successful execution and customer adoption of Snowflake’s solutions. IN THIS ROLE YOU WILL GET TO: Convey the strategic advantages and technical application of Snowflake Postgres capabilities, address client inquiries, and conduct follow-up engagements to facilitate sales progression. Articulate Snowflake's Postgres functionalities and provide a comparative analysis with competitor offerings for prospective clients. Ascertain client-defined success metrics for the adoption and utilisation of Snowflake's Postgres features. Recognise, address, and reconcile discrepancies between Snowflake's methodologies and client-specific requisites concerning transactional features. Provide comprehensive resolutions to client objections and concerns. Develop and deliver bespoke demonstrations that highlight Snowflake's value proposition, tailored to a

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Our Solution Engineering organization is seeking an AI Specialist who can provide hands-on expertise and support while working with technical decision makers and data scientists to design and architect AI solutions built on the Snowflake AI Data Cloud. This is a strategic role that works closely with cross-functional teams, including product, engineering, and the broader field organization to ensure successful execution and customer adoption of Snowflake’s AI & ML solutions. IN THIS ROLE YOU WILL GET TO: Be the technical expert in the room that positions Snowflake’s AI and ML features and value to technical stakeholders at Snowflake’s customers across the Americas. Partner with Snowflake account team teams and customer champions to scope and drive POCs to success and technical wins that prove the value of Snowflake’s capabilities, including executive readouts and business value cases. Collaborate with Snowflake’s product and engineering teams to influence Snowflake’s AI and ML roadmaps based on customer feedback. Publish content that helps the team and company scale beyond your individual efforts, like blog posts, presentations at conferences, or technical collateral like notebooks and demos. Influence, tailor and maintain Sales Engineering AI and ML selling assets, inc

About the Role: Tubi's content platform is the engine behind one of the largest free streaming services in the world. Every play, every deal, every creator, every frame of video flows through systems CPE owns, and the surface area is enormous. Distributed services running on the hottest path of Tubi's traffic. Video pipelines processing one of the largest workloads in streaming. Workflow engines automating the operations that used to consume entire teams. Creator-facing products turning a back-office process into a real platform. And on top of all of it, an AI-native rebuild of the CMS that most companies aren't willing to attempt. This isn't a single-domain role. It's a platform where backend, frontend, video, infrastructure, and applied AI all collide at the scale where decisions actually matter, where an architectural choice ripples across millions of titles and billions of requests, and where the difference between "good enough" and "great" shows up in revenue. We're looking for builders who want to range across domains — backend one quarter, frontend the next, applied AI the one after that — and who want their work to be felt: by viewers when a title plays instantly, by creators when they go live the same day, by Content Ops when a workflow runs itself, and by the business when the platform stops being a cost center and starts being a force multiplier. The infrastructure is already there. The mandate is already there. What's missing is the people who want to build the thing, not talk about it. Come build it. This is a hybrid role based out of our Toronto office. You must be willing to travel to our Toronto office two days/week. What You'll Do: You'll work on systems that sit at the heart of Tubi's business, where the content pipeline meets the viewer, the creator, and increasingly, the AI agent. The work spans the full stack of a modern content platform: distributed services, video infrastructure, workflow automation, and applied AI, all running at

Strength in Trust OneTrust’s mission is to enable innovation through the responsible use of data and AI. We believe that ensuring data is trusted shouldn’t slow teams down—it should accelerate what’s possible. This led us to develop the first technology platform for responsible data use in 2016. Today, with AI representing the latest and most impactful expansion of data yet, OneTrust is once again redefining what responsible innovation looks like. OneTrust, the AI‑Ready Governance Platform™, unifies regulatory intelligence, automation, and connected governance workflows so businesses can continue to move at the speed of AI while ensuring good governance to prevent data misuse at scale. Trusted by thousands of organizations worldwide, OneTrust is shaping the future where trusted data becomes a transformative force for business and society. The Challenge Senior Managers of Engineering at OneTrust will make long-term strategic and technical contributions. These individuals set strategic goals for the team, hire engineers, and prioritize projects. You'll be involved technically, too. Developing new products, identifying requirements, and executing with excellence. Your Mission Drive strategic planning and execution while developing key technologies that will enhance OneTrust's long-term, proprietary strategic position. Create new concepts from initial design all the way to market release. You Are Experienced overseeing end-to end-development activities while monitoring reliability and performance of all internal systems and suggesting improvements when required. You will ensure compliance with security regulations while managing software development projects by setting requirements, goals, and timelines. Designing strategies for future development projects based on the company’s overall objectives and resource avail

About Bazaarvoice At Bazaarvoice, we create smart shopping experiences. Through our expansive global network, product-passionate community & enterprise technology, we connect thousands of brands and retailers with billions of consumers. Our solutions enable brands to connect with consumers and collect valuable user-generated content, at an unprecedented scale. This content achieves global reach by leveraging our extensive and ever-expanding retail, social & search syndication network. And we make it easy for brands & retailers to gain valuable business insights from real-time consumer feedback with intuitive tools and dashboards. The result is smarter shopping: loyal customers, increased sales, and improved products. The problem we are trying to solve : Brands and retailers struggle to make real connections with consumers. It's a challenge to deliver trustworthy and inspiring content in the moments that matter most during the discovery and purchase cycle. The result? Time and money spent on content that doesn't attract new consumers, convert them, or earn their long-term loyalty. Our brand promise : closing the gap between brands and consumers. Founded in 2005, Bazaarvoice is headquartered in Austin, Texas with offices in North America, Europe, Asia and Australia. It’s official: Bazaarvoice is a Great Place to Work in the US , Australia, India, Lithuania, France, Germany and the UK! About the Team You will be part of a highly skilled distributed team that takes care of data enrichment platform responsible for data enrichment pipelines and for supporting bulk exports to clients and search partners. The team primarily involves in generating large-scale datasets for exporting to internal and external consumers. .We are interested in engineers who are hands-on and willing to dig into tough problems. We love people who are willing to explore new areas, learn quickly, and apply their skills to challenging issues How you’ll make an impact: - Design, d

The Senior Enterprise Engineer opportunity Statsig is building an Enterprise Engineering team for engineers who want unusually direct ownership of high-stakes customer outcomes. Like a Forward Deployed Engineering team, Enterprise Engineering works extremely close to customers and tackles the technical problems that matter most to them. The difference is the scope of ownership. Forward Deployed Engineering is often concentrated around implementation or onboarding; Enterprise Engineering is responsible for a customer’s technical success throughout the entire customer journey. You’ll stay close as needs evolve, answering questions, investigating across the stack, identifying root causes, shipping fixes and features, and remaining accountable through resolution. This is a software engineering role with a tight customer feedback loop. It is ideal for a pragmatic generalist, especially someone with backend or infrastructure depth who enjoys ambiguous problems, production systems, fast decisions, and immediate impact. What you’ll do Serve on the engineering front line in Unthread, our Slack aggregation and workflow layer, for key customer accounts. Answer technical questions by reading the code, tracing behavior, inspecting production signals, and building a clear explanation, not by forwarding the thread. Diagnose and fix bugs, then validate the outcome with the customer. Design and implement product or platform features when doing so is the fastest, highest-quality way to solve the customer’s problem. Act as the engineering point of contact for urgent issues in key customer accounts’ Slack channels, coordinating the response while retaining technical ownership. Represent engineering in customer office hours and, for selected accounts, recurring weekly meetings. Partner closely with customer-facing and product teams while maintaining crisp ownership, communication, and escalation paths. Identify recurring patterns and improve tooling, documentation, observability, APIs,

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . The Data Platform team builds and operates the systems that centralize all of Coinbase's internal and third-party data, making it easy for teams across the company to access, process, and transform that data for analytics, machine learning, and powering end-user experiences. As an engineer on the team you'll contribute across the full spectrum of our systems, from foundational processing and storage to scalable pipelines to the frameworks, tools, and internal applications that make data easily and efficiently available. We have a number of open roles within the Data Platform team, each with a different focus area; read on to see if you'll be a good fit as a Data Engineering Platform Engineer. This role sits between our platform and the analysts, data scientists, and data engineers who use it every day. You'll build the SDKs, self-service apps, and abstractions that let thousands of pipelines and analyses run without those users needing to understand the plumbing underneath. What you'll do: Build clean software abstractions and modular, reusable components that let us support thousands of pipelines and beyond as we scale. Build and maintain data integration and processing SDKs used by data teams and internal services across Coinbase. Design and build self-service applications that let analysts and data scientists create, manage, and troubleshoot their own pipelines wi

About the Role REMOTE IN INDIA We're looking for a software engineer to build the Kubernetes-native control plane that provisions and runs our GPU inference fleet. You'll design a manifest-driven API where the inference team declares what they need, whether that's a cluster, a model deployment, or a capacity change, and our controllers handle the reconciliation, provider/runtime selection, and lifecycle management underneath, so the inference team never has to know or care which specific serving stack, scheduler, or hardware pool is doing the work. You'll also build the systems that keep the fleet efficient, not just running, including defragmentation and rebalancing logic that consolidates scattered workloads back into contiguous capacity, and scheduling/bin-packing improvements that push GPU utilization up without hurting latency. The core value we're after is decoupling the people building on top of the platform from the operational and runtime complexity underneath, while squeezing more usable capacity out of the same hardware. You'll build the controllers, reconciliation loops, and self-service surface (API/CLI, not tickets) that make that decoupling real, plus the event-driven health, remediation, and utilization systems that keep it running and efficient without a human in the loop. Strong candidates have hands-on experience with Kubernetes controller/CRD patterns, have built or operated a platform API that abstracts multiple backends behind one interface, understand GPU scheduling and capacity efficiency (fragmentation, bin-packing, right-sizing), and think about GPU infrastructure as software to be engineered. A product mindset - you've built internal platforms or APIs consumed by other engineering teams and care about the developer experience of what you ship. You build it, you own it. You are not only responsible for delivering the software but also for operating and supporting it in production. Responsibilities Build the provisioning state machine

As a Senior Software Engineer on Coder’s Agentic Engineering team, you’ll build and evolve the systems behind our agentic development experience. You’ll work across the agent harness, integrations, and workflows that connect agents with real development environments. You’ll stay hands-on, solve complex technical problems, and work closely with Product, Design, and other engineers to ship reliable agentic experiences. What you’ll do here Design and build production systems in Go, with work across React and TypeScript where needed. Improve agent execution, tool use, context management, streaming, and long-running workflows. Extend our provider-agnostic architecture as models and capabilities change. Build reliable integrations between agents, workspaces, tools, and developer infrastructure. Own projects from implementation through rollout and iteration. Contribute to design reviews, code reviews, and technical discussions. Partner with Product and Design to turn agent capabilities into useful developer experiences. Improve the reliability, performance, and operability of agentic systems. What we’re looking for Strong experience building and operating production software systems. Hands-on experience with Go. Experience with React and TypeScript. Experience building systems around LLMs or agentic workflows. Familiarity with model APIs, tool calling, context management, or agent loops. Good understanding of distributed systems and production reliability. Working knowledge of AWS. Strong problem-solving skills and comfort working through technical ambiguity. Someone who contributes beyond their own code through reviews, collaboration, and knowledge sharing. Bonus tacos if you have Experience building coding agents, developer tools, or cloud development environments. Experience with MCP, agent tools, or multi-agent systems. Experience with remote execution, sandboxing, or isolated compute. Experience building integrations across multiple model providers. Experience with AW

As a Senior Software Engineer on Coder’s Agentic Engineering team, you’ll build and evolve the systems behind our agentic development experience. You’ll work across the agent harness, integrations, and workflows that connect agents with real development environments. You’ll stay hands-on, solve complex technical problems, and work closely with Product, Design, and other engineers to ship reliable agentic experiences. To provide substantive overlap with the team, this position must be in Eastern Time. What you’ll do here Design and build production systems in Go, with work across React and TypeScript where needed. Improve agent execution, tool use, context management, streaming, and long-running workflows. Extend our provider-agnostic architecture as models and capabilities change. Build reliable integrations between agents, workspaces, tools, and developer infrastructure. Own projects from implementation through rollout and iteration. Contribute to design reviews, code reviews, and technical discussions. Partner with Product and Design to turn agent capabilities into useful developer experiences. Improve the reliability, performance, and operability of agentic systems. What we’re looking for Strong experience building and operating production software systems. Hands-on experience with Go. Experience with React and TypeScript. Experience building systems around LLMs or agentic workflows. Familiarity with model APIs, tool calling, context management, or agent loops. Good understanding of distributed systems and production reliability. Working knowledge of AWS. Strong problem-solving skills and comfort working through technical ambiguity. Someone who contributes beyond their own code through reviews, collaboration, and knowledge sharing. Bonus tacos if you have Experience building coding agents, developer tools, or cloud development environments. Experience with MCP, agent tools, or multi-agent systems. Experience with remote execution, sandboxing, or isolated compute.