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We are a global team of innovators and pioneers dedicated to shaping the future of observability. At New Relic, we build an intelligent platform that empowers companies to thrive in an AI-first world by giving them unparalleled insight into their complex systems. As we continue to expand our global footprint, we're looking for passionate people to join our mission. If you're ready to help the world's best companies optimize their digital applications, we invite you to explore a career with us! Your opportunity The Streaming Services team is responsible for routing and replicating New Relic's platform data through globally distributed cloud environments in a high-throughput, low-latency, and cost-aware streaming pipeline. Our streaming services process and route over a billion messages per minute across different continents, regions, and cloud providers, serving New Relic’s customer experience by making it easy for development teams to prioritize reliability. You will collaborate with this globally distributed team to develop expertise and best practices for New Relic development teams to operate highly reliable streaming services. What you'll do Own, build, maintain, and scale our streaming services and their support tools. Participate in an on-call rotation and bake stability into everything, continually seeking automation opportunities for built-in reliability. Participate in architectural definitions with a high degree of innovation and creativity. Own and improve your team processes. Develop automation and tooling to make our services more scalable and reliable. Use available innovation time to bring your creative ideas to life. This role requires Experience developing back-end services that use Flink, Kafka, or other streaming platforms. Large scale is a plus. Experience in writing software in Java, and you are not afraid of adapting, learning, and working with different languages and frameworks. Experience with distributed systems, concurrency, and scaling in

About Us Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day. We’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on LinkedIn and X , and discover the projects we’re solving on our Blog . Be sure to explore our Interviewing Guide to learn how to ace our interview process. About the Team Twitch's Enterprise Platform & Technology (EPT) organization is looking for a Software Development Engineer II to build the systems where SAP meets AWS — extending our enterprise ERP with cloud-native services and agentic AI to power Finance and enterprise functions across Twitch and Amazon. This is a hands-on engineering role where you'll work on SAP-side development (ABAP, CDS, RAP, OData) and AWS-native engineering (Lambda, Step Functions, MCP servers, Bedrock, CDK) — owning integrations end-to-end. About the Role You'll work at the intersection of SAP enterprise systems and modern cloud engineering — building AWS-hosted APIs and pipelines that talk to SAP, standing up agentic AI tooling (MCP servers, Bedrock agents, Claude-powered workflows) that automates Finance operations, and shipping production AWS services alongside SAP customizations. The business problems are well understood; how you solve them with SAP + AWS + AI is up to you. We need someone equally comfortable writing ABAP inside SAP GUI and Python/TypeScript infrastructure code against AWS — a full-stack enterprise engineer who ships across both worlds and raises the bar on automation. You Will SAP Engineering (~50%) Design, build, and maintain integrations between SAP (S/4HANA, BTP) and downstream systems — own

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Software Engineer II Overview Who is Mastercard? Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all. The Fraud Products team (part of O&T) is developing new capabilities for MasterCard's Decision Management Platform, which serves as the core for multiple business solutions to combat fraud and validate cardholder identity. Our patented Java-based platform processes billions of transactions per month in tens of milliseconds using a multi-tiered, message-oriented approach for high performance and availability. MasterCard software engineering teams leverage Agile development principles, advanced development, design and test automation practices, and an obsession over security, reliability, and perfo

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Software Engineer II Who is Mastercard Mastercard is a global technology company in the payments industry. We work to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart and accessible. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. About the Role We are hiring a Software Engineer II to join Mastercard's Core Payments department, responsible for delivering solutions that facilitate billions of secure transactions between issuers, acquirers, and service providers worldwide. This role offers the opportunity to contribute to highly scalable, mission-critical platforms that power global commerce. We are seeking a software engineer who is passionate about software development, system quality, and continuous improvement, with a strong focus on delivering reliable, maintainable, and secure solutions. Role Software Development & Design • Design, develop, test, and maintain high-quality J

About Anyscale: At Anyscale , we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray , a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI , Uber , Spotify , Instacart , Cruise , and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world. With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert. Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date. About the role: As a Site Reliability Engineer, you will play a crucial role in ensuring the smooth operation of all user-facing services and other Anyscale production systems. Anyscale values diversity and inclusion, and we encourage applications from individuals of all backgrounds. This includes processes for provisioning, negotiating prices, managing costs, seeing opportunities for teams to reduce wastage by finding applications across the company. You will apply sound engineering principles, operational discipline, and mature automation to our environments and the Anyscale codebase as we scale. As part of this role, you will: Develop a unified perspective on how cloud components are utilized across the company, taking into account diverse needs and requirements. Ensure that deployment methodologies align with the company's reliability goals. Build systems that promote understanding of production environments, facilitating quick identification of issues through robust observability infrastructure for metrics, logging, and tracing. Create monitoring and alerting systems at different levels, enabling teams to easily contribute and enhance the overall monitoring capabilities. Establish testing infrastructure to s

About Us Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day. We’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on LinkedIn and X , and discover the projects we’re solving on our Blog . Be sure to explore our Interviewing Guide to learn how to ace our interview process. About the Team Twitch's Enterprise Platform & Technology (EPT) organization is looking for a Software Development Engineer II to build the systems where SAP meets AWS — extending our enterprise ERP with cloud-native services and agentic AI to power Finance and enterprise functions across Twitch and Amazon. This is a hands-on engineering role where you'll work on SAP-side development (ABAP, CDS, RAP, OData) and AWS-native engineering (Lambda, Step Functions, MCP servers, Bedrock, CDK) — owning integrations end-to-end. About the Role You'll work at the intersection of SAP enterprise systems and modern cloud engineering — building AWS-hosted APIs and pipelines that talk to SAP, standing up agentic AI tooling (MCP servers, Bedrock agents, Claude-powered workflows) that automates Finance operations, and shipping production AWS services alongside SAP customizations. The business problems are well understood; how you solve them with SAP + AWS + AI is up to you. We need someone equally comfortable writing ABAP inside SAP GUI and Python/TypeScript infrastructure code against AWS — a full-stack enterprise engineer who ships across both worlds and raises the bar on automation. You Will SAP Engineering (~50%) Design, build, and maintain integrations between SAP (S/4HANA, BTP) and downstream systems — own

At Playlist, life's richest moments happen when people step away from screens to move, connect, explore, and play. We're building the definitive platform for intentional living, connecting people with inspiring experiences in fitness, wellness, and beyond. With popular brands like Mindbody and ClassPass, Playlist empowers businesses and individuals, making it effortless for aspirations to become actions. Join us in reshaping technology's role to foster meaningful, real-world connections. Mindbody equips wellness entrepreneurs with technology to support thriving businesses and create exceptional experiences. Innovation and curiosity drive our culture, connecting businesses and individuals through cutting-edge solutions. Join us if you're passionate about enhancing wellness through technology. The Role You’ll Play You’ll join Mindbody’s External APIs team, which owns the developer-facing platform that partners, integrators, and enterprise customers build on. That includes our Public API, Webhooks, Affiliate API, and the developer portal experience. You’ll help build, ship, and operate the APIs that thousands of wellness businesses use to connect Mindbody to payroll, marketing, booking, and other tools — with a high bar for reliability, backward compatibility, and partner experience. Build and maintain performant backend systems and applications that drive real-world experiences — especially the public and partner APIs studios, aggregators, and strategic accounts depend on Partner with Product, Partnerships and API Support to bring features to life from ideation through deployment, always iterating with the end-user in mind — here, that user is often an external developer or enterprise integrator Contribute to API platform work such as authentication and authorization, versioning, rate limiting, and changes that protect the experience our partners depend on Help keep existing integrations stable while we ship new capabilities — including compatibility across surfaces t

Job Requisition ID # 26WD100611 Position Overview Autodesk is a global leader in design and make technology, with expertise across architecture, engineering, construction, design, manufacturing, and entertainment. Our software and services empower innovators everywhere to solve challenges big and small—from greener buildings to smarter products to more compelling media and entertainment. At Autodesk, we believe that when you have the right tools to work and think flexibly, you have the power to transform what actually needs making. We provide our customers with technology to help them achieve better outcomes for their products, businesses, and the world. We are looking for a highly motivated software engineer to join the PSET-Access group. The team builds and operates systems that enable secure, reliable, and scalable access to product capabilities and resources, and now in the process to develop the next generation to modernize the access management capabilities. In this role, you will work with engineers and cross-functional partners to design, build, test, deploy, and operate production software. You will primarily develop backend services using Java or Go, while owning well-defined components and projects, contributing to technical decisions, and helping improve the reliability, maintainability, and developer experience of the systems the team owns. This is a strong opportunity for an engineer who has solid software engineering fundamentals and is ready to grow their technical depth and ownership. Responsibilities Design, implement, test, deploy, and maintain production-quality backend software, prim

About the Team OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role You will build the model runtime within the inference engine that executes complex, frontier models at scale on OpenAI’s custom silicon. The runtime will sit between models running on the hardware and the upper layers of the cluster serving software stack, translating demanding inference workloads into efficient execution while optimizing for throughput, latency, utilization, and reliability. You will work across model architecture, distributed systems, compilers, kernels, and silicon to design a production-grade runtime comparable in ambition to systems such as vLLM and SGLang, but customized and optimized for OpenAI’s AI accelerator. Your work will shape how new model capabilities map onto the platform and how quickly custom silicon can deliver meaningful performance in production. In this role, you will: Design and implement the LLM inference runtime for frontier models running on custom silicon. Build scheduling, continuous batching, memory management, KV-cache management, and execution orchestration for high-performance inference. Develop distributed execution strategies across chips, hosts, and racks, including model partitioning, communication, and synchronization. Optimize end-to-end latency, throughput, memory efficiency, and hardware utilization across diverse model architectures and serving workloads. Partner with kernel, compiler, architecture, and silicon teams to co-design interfaces and remove performance bottlenecks across the stack. Enable new

About the Team OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role You will build the low-level device runtime that turns compiled programs into efficient, functional and performant execution on OpenAI’s custom AI accelerator. This software will schedule kernel launches, manage device memory and address spaces, coordinate synchronization, and expose reliable abstractions to higher-level runtimes and frameworks. You will work at the boundary of software and hardware, partnering with compiler, kernel, architecture, verification, and silicon teams to define interfaces and validate behavior. You will also use and improve event-based, cycle-accurate simulation to develop runtime capabilities before silicon is available, diagnose performance and correctness issues, and guide hardware-software co-design. In this role, you will: Design and implement the low-level device runtime for OpenAI custom silicon. Build kernel-launch scheduling, command submission, queueing, dependency tracking, and completion handling. Manage device memory spaces, allocation, virtual-to-physical mappings, data movement, and lifetime across concurrent workloads. Implement synchronization primitives, events, barriers, streams, and ordering guarantees that are correct and efficient. Define clean interfaces between the runtime, drivers, firmware, compiler-generated code, kernels, and higher-level execution systems. Use event-based, cycle-accurate simulators to develop, validate, debug, and performance-tune runtime behavior before and after silicon availability. Di

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. Rider Engagement develops rider-facing engagement levers and optimizes user pricing experience to drive both short term and long term business outcomes. 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: Drive high-impact projects and innovate new solutions to provide the best user experience. Work closely with cross-functional teams and partner teams to develop solutions based on technology and business needs, and advance team’s goals and priorities Independently lead features from idea to positive execution and launch Unblock, support and communicate with internal partners to achieve results Write well-crafted, well-tested, readable, maintaina

Who We Are Notion is the collaborative AI workspace where teams and agents think together . We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. About the Role: As a Developer Platform engineer, you will directly contribute to the foundational pieces that make Notion extensible and connected. You will build tools, APIs, and platform experiences that help customers connect Notion to the world — bringing their apps, data, and workflows into one workspace. Your work will make it easier for developers, admins, and builders to create reliable integrations and automations on top of Notion. You will be a key player in building the robust technical foundation that allows Notion to achieve the connected workspace vision. Your work will include both internal platform contributions that accelerate other Notion engineering teams and end-user-facing functionality that enables toolmaking ubiquity. You will be presented with challenging technical problems, as Notion’s product needs are complex. You’ll play a key role in identifying and executing against technical investments that ensure the long-term quality, reliability, and performance of Notion’s platform as we scale. This role can be based in either San Francisco or New York City. We work from our offices on Mondays, Tuesdays and Thursd

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 . About tvScientific tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business. As a Data Engineer at tvScientific, you will be a key player in implementing the robust data infrastructure to power our data-heavy company. You will collaborate with our cross-functional teams to evolve our core data pipelines, design for efficiency as we scale, and store data

Software Engineer - DevSecOps (Senior or Lead) — USA - Tukwila, WA. Apply via Workday.

Software Engineer, Missile Defense National Team, C2BMC (Associate, Experienced or Senior) — 2 Locations. Apply via Workday.