Engineer Senior Jobs

Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Presales Engineer, DACH. About the job This position is needed to enable our customers to build the future of communications. The Principal Presales Engineer is a critical part of the sales team focused on our both New Business and Strategic segments. Twilio’s Principal Presales Engineers are responsible for delivering the Technical Win and best Product Fit to our customers. They lead the technical pre-sales relationship, drive technical discovery, propose technical architectures, demonstrate the product, anticipate concerns and offer creative solutions. They build customer trust in Twilio’s solutions. Principal Presales Engineers should be comfortable engaging a CEO or sketching out an API flow on a whiteboard with customer software engineers. Responsibilities In this role, you’ll: Partner with Account Executives to execute pre-sales activities including opportunity qualification, demonstrations, Proof-of-Concept,

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team Stripe's Professional Services team works with our most strategic users. You'll work on the highest visibility projects to provide technical expertise to our customers to help accelerate their knowledge, solution design and integrations with Stripe. You'll lead strategic conversations and develop plans that will transform the payments and financial infrastructure for leading enterprises. As we grow, we're looking to start a team in Paris, working across EMEA but helping us expand our coverage, especially in the French market. What you'll do As an Integration Engineer on the Professional Services team, you'll own the technical relationship with Stripe's most strategic users—from initial discovery through to live integration and ongoing optimisation. You'll bring together deep technical expertise and consultative skills to help enterprises design and implement complex integrations, resolve issues at pace, and continuously improve how they use Stripe's platform. Responsibilities Collaborate with Sales, Solution Architecture, and Implementation teams to drive client engagement, customer wins, and revenue on behalf of the Professional Services team Plan and execute integration engineering end-to-end, from high-level architecture down to code implementation Think on your feet and talk comfortably about technical concepts, explaining how Stripe works from both a product feature and API architecture perspective Educate our users and the developer co

At AutoScout24, we’re excited to be hiring for our Canadian company, Trader Corporation — a key part of our international family. As the Canadian arm of Europe’s largest online car marketplace, Trader Corporation plays a vital role in transforming how people buy, sell, and finance vehicles. With well-known brands like AutoTrader.ca , AutoSync, and Dealertrack Canada , Trader Corporation is driving digital innovation in the automotive industry — now reaching over 25 million Canadians every month. This role will be within the Dealertrack Canada team, the country’s leading automotive financing portal, processing over 6.5 million credit applications annually. Level: IC3 (Mid-Level Individual Contributor) Employment type: Full-time Build The Future Of Automotive Financing Dealertrack Canada is the country's leading automotive financing portal, helping dealers, lenders, and consumers move through vehicle financing with greater speed, trust, and confidence. As part of Trader Corporation and AutoScout24 Group, we are connected to one of the largest automotive marketplaces in the world while working on deeply Canadian fintech problems. Our Fintech engineering teams are modernizing platforms that support millions of credit applications annually. We work on systems for credit application processing, lender and dealer workflows, fraud prevention, risk assessment, customer support, and operational decision-making. We are looking for a Software Engineer who wants to grow with a product engineering team that is raising the bar on reliability, automation, AI-assisted delivery, and service ownership. Why This Role Matters Automotive financing is changing. Dealers and lenders expect faster decisions, better integrations, stronger fraud controls, cleaner data, and more reliable digital workflows. Our platforms sit in the middle of that ecosystem. In this role, you will help build and modernize the software that powers those workfl

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team The Core Infrastructure team at Stripe is entrusted with developing and maintaining the infrastructure utilized by all product teams to create services that underpin all Stripe business operations. This includes defining and executing a vision that ensures industry-leading scale and availability, and actively balancing these concerns with efficiency, latency, and organizational health. We are committed to advancing new distributed services and scaling existing technologies across the industry, in close collaboration with various teams to support their current and future demands, and various external partners in the open source community. Our infrastructure supports businesses worldwide by processing payments, managing marketplaces, assisting entrepreneurs in launching internet businesses, and more. The Infrastructure organization comprises teams responsible for operating system components, databases, caching, high availability, disaster recovery, cloud infrastructure, Linux servers, container orchestration, mesh networking, service discovery, change management, and network edge infrastructure. What you'll do As a Software Engineer on the Infrastructure team, you will be part of a team that is in charge of building the core infrastructure used by product teams which support our business. Examples include control plane services responsible for managing our primary database and cache infrastructure as well as building automation around managing

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Palantir’s software forms the operating system for the militaries of the United States and her allies, driving outcomes and enhancing capabilities across the full spectrum of operations, intelligence, and support activities. Our defense applications are the tip of that spear, powerful tools used daily by thousands of soldiers, sailors, airmen, and marines to perform critical work at home and abroad from the Pentagon to the front lines. The engineers who build, maintain, and extend these applications are responsible for wielding the immense technical potential of Palantir’s data modeling and AI platforms to create exquisite domain-specific workflows and interfaces that modernize, extend, and revolutionize the capabilities of the warfighter. This is a front-end engineering role focused on marrying Palantir’s Foundry and AIP platform technologies, application specific backend services, and modern web technologies with domain expertise. These teams are nimble and select the right tool for the task in front of them rather than adhering to a rigidly defined tech stack, but the most common setups are React for standard DOM rendering, Maplibre and/or Three js for geospatial and 3D rendering, Redux (in various flavors) for state management, Conjure for API management, and OSDK for interaction with the foundry platform. A rich ecosystem of in-house libraries and toolchains sit on top of that foundation to provide cross-app messaging, live data streaming, robust classification based access control, and a host of other specialized functions. Defense applications developers both consume and produce these re-usable tools as part of their core engineering role. Core R

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Palantir builds applications that help customers organize, understand, and make decisions based on their data. Because these applications serve different roles within an organization's workflow, users frequently have multiple applications open at once, and expect them to work together seamlessly. While backend services handle much of this coordination, delivering a truly fast and responsive experience requires applications to also directly interact with each other through client-side frameworks running in the browser. Building these frameworks is uniquely challenging: every Palantir application plays a distinct role and has its own set of first-class UX concepts, yet the frameworks need to integrate cleanly into all of them. Success requires both strong API design skills and a keen eye for user experience. The frontend frameworks our team builds serve a variety of functions across Palantir's application ecosystem. Some frameworks integrate deeply with the Palantir Ontology—a foundational layer that provides a schema for defining objects and relationships between them. These frameworks enable real-time data synchronization across applications: for example, when a user selects an Ontology object on a map, data plots in a different application instantly update to show that object's properties. Other frameworks operate independently of the Ontology: for example, one framework allows applications to define custom behaviors that can be invoked by other applications or even by AI agents, giving them the flexibility to expose arbitrary functionality across the platform. Core Responsibilities As a software engineer on this team, you'll work with these cross-ap

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the RL Teams Our Reinforcement Learning teams play a critical role in advancing our AI systems. We've contributed to all Claude models, with significant impacts on the autonomy and coding capabilities of our latest Claude models. Our work spans several key areas: Developing systems that enable models to use computers effectively Advancing code generation through reinforcement learning Pioneering fundamental RL research for large language models Building scalable RL infrastructure and training methodologies Enhancing model reasoning capabilities We collaborate closely with Anthropic's alignment and frontier red teams to ensure our systems are both capable and safe. We partner with the applied production training team to bring research innovations into deployed models, and are dedicated to implement our research at scale. Our Reinforcement Learning teams sit at the intersection of cutting-edge research and engineering excellence, with a deep commitment to building high-quality, scalable systems that push the boundaries of what AI can accomplish. About the Role We're hiring for the Code RL team within the RL organization. As a Research Engineer, you'll advance our models' ability to write, edit, test, debug, and ship real software — end to end, on real codebases, with real tools — and to do it correctly, fast, and safely. This role blends research and engineering. You'll design RL environments and coding tasks, build the reward signals and verifiers that capture what "good code" means, run training experiments on frontier models, diagnose why a model does (or doesn't) get better at a class of software-engineering work, and improve

About the Team The Codex Web Layer team provides the web-based systems and user experiences for Codex across the entire stack, from the Electron-like application framework that powers the application, to the user-facing in-app browser. About the Role In this role, you will be responsible for designing and implementing infrastructure and features end-to-end for the Codex desktop client application. You will help define what it means to be a hybrid agentic/interactive web browser. The team embodies “full stack” development from the lowest-level OS integration to the highest-level interaction design. This role is based in San Francisco. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role you will: Partner closely with product and design to conceive, design, and build features for Codex web browsing features on macOS and Windows. This role will focus mostly on the backend C++ layer and Chromium, but many features cross the full stack including some TypeScript. Partner with the wider Codex team to deliver a high-performance, stable, and secure application platform for client development. This includes API design and implementation (mostly in C++) and the infrastructure that supports deploying it (in Python, TypeScript, and agentic skills). Work with a small, experienced team of engineers on this critical and rapidly growing product. You might thrive in this role if you: Have significant experience building technically complex features end-to-end. Are a strong C++ developer, especially with experience in browser environments like Chromium and Electron. Since this role is more backend focused, general knowledge of web development and TypeScript is helpful but not required. Thrive in a fast-paced, ambiguous environment. Communicate clearly and concisely across many different roles in the organization. Are self-directed, identifying important work and executing it end-to-end. About OpenAI OpenAI is an AI

About Dialpad Dialpad is the AI platform for customer experience, built to resolve customer problems in real time across voice and digital. Our AI agents learn from your best human agents and improve with every interaction, helping organizations understand their customers, deliver better experiences, increase operational efficiencies, and build a lasting competitive advantage. Unlike legacy systems built to route and answer, or standalone agentic bot vendors built to deflect, Dialpad was built to resolve. Our AI agents and human agents operate on a single platform with shared context, allowing Agentic AI to resolve issues, advance deals, and eliminate busywork through automation while seamlessly handing conversations to humans when needed, with full context preserved. Market-leading brands, including Randstad, Motorola Solutions, Netflix, the San Diego Padres, the Colorado Rockies Baseball Club, and Cal Athletics, trust Dialpad. Dialpad is backed by Andreessen Horowitz, GV, ICONIQ Capital, and T-Mobile. Being a Dialer At Dialpad, AI isn’t just a feature; it’s how our teams do their best work every day. We put powerful AI tools in every employee’s hands so they can move faster, think bigger, and achieve more. We believe every conversation matters. And we’ve built the platform that turns those conversations into insight and action, for our customers and ourselves. We look for people who are intensely curious and hold themselves to a high bar. Our ambition is significant, and achieving it requires a team that operates at the highest level. We seek individuals who embody our core traits: Scrappy, Curious, Optimistic, Persistent, and Empathetic . Your role As a Security Engineer focused on Product Security and AI, you will help secure Dialpad’s applications, platforms, and AI-powered capabilities throughout the product lifecycle. You will partner closely with software engineers, infrastructure teams, product managers, and AI practitioners to identify risks early, design

The DevSecOps Engineer – AI Labs is responsible for implementing security practices within the DevOps pipeline, ensuring secure, efficient, and scalable cloud and on-premise infrastructure. Reporting to the Lead - DevSecOps, this role focuses on deploying and automating security controls, monitoring infrastructure for vulnerabilities, optimizing CI/CD security, and supporting FinOps cost optimization efforts. The position requires hands-on experience in security automation, cloud security tools, and DevOps best practices, ensuring AI-driven applications remain secure, compliant, and cost-efficient. Source: Adani Group | Job ID: 44279

Who We Are Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that’s why we’re building a universal autonomy platform: self-driving for all roads and all rides. Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver™, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles. With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors. About the Role Our software team is growing, and we are looking for talented engineers to join us and be instrumental to one of the following areas: Onboard Systems, Performance, and Devices Platform. Onboard Systems: Our onboard system team’s software engineers provide a reliable and high-performance platform that allows our autonomy teams to integrate their autonomy software and algorithms that work across various self-driving platforms. This work requires close collaboration with our software teams, hardware teams, and systems/safety team to make sure new software and hardware work together safely and reliably, and resolve onboard error and performance problems. Performance: Our Performance team optimizes the performance of Nuro’s AV software, ensuring our vehicles can react quickly and safely to the world around them. The team builds systems and tools for continuous performance analysis, and drives latency reduction and resource effi

About us Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor and Clay Bavor . Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. What you’ll do Design and deliver production-grade AI agents : You'll build and ship highly performant, reliable, and intuitive AI agents that are central, mission-critical and drive revenue directly to Sierra's growth. These aren't prototypes—they are powerful, scalable systems running in production environments across industries like finance, healthcare, and commerce. Drive the Agent Development Life Cycle (ADLC) : You'll have complete ownership and autonomy from initial pilot through deployment and continuous iteration. You'll be responsible for building, tuning, and evolving AI agents in production environments, defining the standard for ADLC best practices along the way. Partner with large enterprises and cutting-edge startups: You’ll work directly wit

About the Team API Multicloud partners with cloud service providers (CSPs) to bring OpenAI’s frontier models and APIs into the cloud environments where developers and enterprises already build. We own the API end to end across CSP platforms, from API integration and request routing through inference execution, capacity management, and day-to-day operations. Our mission is to make these capabilities available broadly and safely while preserving the reliability and developer experience customers expect from OpenAI. Delivering that experience requires work across the stack: adapting API services and cloud-native integrations, bringing up model-serving environments, validating new releases, and operating the systems that connect customer requests to available capacity. We work directly with CSP engineering teams and partner closely with OpenAI’s inference, API, infrastructure, security, and Safety Systems teams. Together, we turn new model capabilities and partner requirements into dependable production services, with attention to performance, operational readiness, and efficient use of compute. Our work contributes to OpenAI’s AWS partnership , including the launch of Daybreak Red and Daybreak Blue on Amazon Bedrock . We’re building on that foundation to bring OpenAI’s API to additional CSPs. These efforts let customers use OpenAI capabilities within the cloud infrastructure, security controls, and workflows they already rely on. About the Role We’re looking for experienced infrastructure engineers to design, build, and operate the systems that run OpenAI’s API across CSP platforms. You’ll help establish the cloud deployment platform: configuring and launching model-serving environments, planning capacity, improving caching and utilization, and making new releases safe and repeatable. Working closely with inference engineers, you’ll connect advances in model serving to the infrastructure and operational practices needed to run them reliably in production. The role call

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . We are looking for inquisitive, well-rounded Android engineers to join our product Engineering teams. Working closely with product managers, designers, and backend engineers, you’ll play an important role in enabling the newest technologies and experiences. You will build robust frameworks & features. You will empower both developers and Pinners alike. You’ll have the opportunity to find creative solutions to thought-provoking problems. Even better, because we covet the kind of courageous thinking that’s required in order for big bets and smart risks to pay off, you’ll be invited to create and drive new initiatives, seeing them from inception through to technical design, implementation, and release. What you’ll do: Build out Pinner-facing frontend features in Android to power the future of inspiration on Pinterest Contribute to and lead each

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. The Fulfillment group, in Marketplace, at Lyft is responsible for determining what inventory can be reliably offered for a given rider session and reliably fulfilling rider requests. The group has a few sub teams that are responsible for generating feasible offers for riders, connecting rider requests with drivers to fulfill those offers and a demand and supply lifecycle platform that power great rideshare experience. As a software engineer at Lyft, you'll collaborate with other software engineers and cross functions like product, data science and analytics to lead and execute large projects from idea to efficient execution. We're looking for a motivated Software Engineer who is passionate about solving challenging technical problems and is excited about working in a fast-paced, innovative and cross-functional environment where they will take on some of the most interesting and impactful problems in ridesharing. Responsibilities: Contribute to the roadmap and architecture based on technology and business needs Write well-crafted, well-tested, readable, maintainable code Have a good grasp and ability to explain the various trade offs made in decisions Participate in code reviews to ensure code quality and distribute knowledge Build Features from tech specification to positive execution Proactively participate in resolving ongoing incidents Unblock, support, effectively communicate, and obtain buy-in across teams to achieve results Share your knowledge by giving brown bags and tech talks Experience: BS/MS or equivalent in Computer Engineering, Computer Science, or related field or relevant work experience 3+ years of software engineering industry experience Proficiency in object-oriented programming Experience designing, debugging and running fault-tolerant, highly available, large-scale di