Infrastructure Business Operations Associate Jobs

Software is eating the world, but AI is eating software. We live in unprecedented times – AI has the potential to exponentially augment human intelligence. Every person will have a personal tutor, coach, assistant, personal shopper, travel guide, and therapist throughout life. As the world adjusts to this new reality, leading platform companies are scrambling to build LLMs at billion scale, while large enterprises figure out how to add it to their products. To make them safe, aligned and actually useful, these models need human eval and reinforcement learning through human feedback (RLHF) during pre-training, fine-tuning, and production evaluations. This is the main innovation that’s enabled ChatGPT to get such a large headstart among competition. At Scale, our products include the Generative AI Data Engine, SGP, Donovan, and others that power the most advanced LLMs and generative models in the world through world-class RLHF, human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI. At the foundation of these products is the Platform Engineering team. In this role, you will support the design and development of shared platforms used across Scale. This includes designing our foundational data platforms and lifecycle, architecting Scale’s core cloud infrastructure and orchestration stack, and redefining how engineers develop, build, test, and deploy software at Scale. You’ll also get widespread exposure to the forefront of the AI race as Scale sees it in enterprises, startups, governments, and large tech companies. You will: Drive the design, and implementation of our foundational platforms and systems, working closely with stakeholders and internal customers to understand and refine requirements. Collaborating with cross-functional teams to define, design, and deliver new features. Proactively identifying opportunities for, and driving improvements to, current p

Why us? Insurify is one of the America’s fastest-growing MIT FinTech startups and has been recognized as one of Inc. 5,000’s fastest-growing private companies in America in 2025, 2024, 2023, 2022 and 2021, Forbes Fintech 50 List for 2023, 2022, and 2021, Forbes Next Billion Dollar Startups of 2022 global and Top 100 InsurTech company. We’re changing the way millions of people compare, buy and manage insurance with artificial intelligence, technology, and superior product design. Our company vision is to be recognized as the preeminent and most trusted digital agent for insurance comparison, purchase, and management. Our team is critical to achieving our vision and fostering the right culture is essential to our team’s success. How you will make an impact Work with our product team to architect and develop new features Optimize existing features using modern development techniques to improve speed and reliability Write comprehensive test suites that fortify our codebase Deploy to production often What you need to succeed 5+ years of experience of building frontend applications using a contemporary web framework (like React) Knowledge of JavaScript/TypeScript (we use React, NodeJS, Gatsby) Understanding of modern CSS techniques or willingness to learn Good knowledge of http(s) protocol Experience in analyzing code performance to identify optimization opportunities Experience in writing unit and integration tests Familiarity with Infrastructure as Code, AWS, and Python are a plus Fluency in English (both writing and speaking) Benefits Employee stock options 25 days annual leave Enhanced private medical, dental and vision insurance plans Yearly wellbeing budget or Multisport card Personal budget for learning and books Employee Assistance Program and other wellbeing perks Office kitchen and fun area with snacks and beverages Regular social events Friendly office culture Hybrid office We are proud to be an Equal Employment Opportunity and Affirm

About Dot Collective We are a new generation consultancy based across UK and EU and founded on the premises of the engineering excellence and empowering people to make an impact. We work with all modern tech stacks and typically run agile scrum on all our projects. About you Are you passionate about data and its transformational powers? Do you like being able to make a huge difference in a limited period of time? We might be just the right place for you. Your key skills and capabilities: Strong SQL and Python skills Data modelling experience (dimensional, relational, or similar) Experience building and maintaining backend systems Familiarity with Microsoft Azure Understanding of APIs, containers, and backend development best practices Implementing cloud-native data platforms Engineering scalable and reliable pipelines Good knowledge of distributed computing with Spark Understanding of cloud architecture principles and best practices Hands-on experience in designing, deploying, and managing cloud resources Agile ways of working Experience in cloud automation and orchestration using tools such as CloudFormation or Terraform Monitoring and performance tuning of cloud-based applications and services Nice to haves: Experience with Snowflake, dbt, CubeJS Experience with Databricks, PySpark, ML workflows Experience with containerized deployments (Docker, Kubernetes, Azure Container Apps). Frontend development experience (React, Next.js, TypeScript) Infrastructure-as-code (Terraform, CloudFormation) Model Deployment & Serving – Deploy and manage ML models using MLflow, Azure ML, SageMaker, or similar, ensuring scalability and performance Monitoring & Retraining – Set up model drift detection, performance monitoring, and automated retraining ML Pipelines & CI/

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 Roblox Vision 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 platform that empowers our community to bring any experience imaginable 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. Why Join Our Rendering Team? Roblox is seeking an experienced and passionate senior engineering manager to lead a team of talented engineers building cutting edge rendering technology. The rendering team at Roblox is at the heart of how millions of creators and players experience our platform. We are a group that is highly passionate about pushing the boundaries of visuals, scalability and performance. We develop our in-house engine and are in control of our entire technology stack, from the rendering pipeline, the lighting techniques, the material system, the voxel terrain to the VFX system and the server infrastructure. Roblox continues to tackle an unprecedented scalabil

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . At Reddit, machine learning sits at the heart of how millions of people discover, connect, and engage with the world’s largest collection of human conversations. From powering personalized recommendations and search to optimizing advertising systems and marketplace dynamics, our ML engineers tackle some of the most interesting and impactful problems in large-scale applied machine learning. We hire Machine Learning Engineers across both our Consumer and Ads organizations, giving you the opportunity to work on a wide range of high-impact problems across the Reddit ecosystem. We are looking for Machine Learning Engineers who are excited to build systems end-to-end, from research and modeling to production deployment, — and who want to help shape the future of discovery, relevance, and monetization at Reddit. If you love working on complex, real-world ML problems at massive scale, this role is for you. What You’ll Work On As a Machine Learning Engineer at Reddit, you will design and build production ML systems that power core experiences across the platform, including: Personalized recommendations, search, and ranking systems that help users discover the most relevant content and communities Intelligent advertising systems including ranking, bidding, measurement, and optimization Content, Advertisers, and User understanding, from building foundational content/user representations to deriving insightful signals Large-scale machine learning pipelines, model serving infrastructure, and real-time decision systems Applied AI and

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . At Reddit, machine learning sits at the heart of how millions of people discover, connect, and engage with the world’s largest collection of human conversations. From powering personalized recommendations and search to optimizing advertising systems and marketplace dynamics, our ML engineers tackle some of the most interesting and impactful problems in large-scale applied machine learning. We hire Machine Learning Engineers across both our Consumer and Ads organizations, giving you the opportunity to work on a wide range of high-impact problems across the Reddit ecosystem. We are looking for Machine Learning Engineers who are excited to build systems end-to-end, from research and modeling to production deployment, — and who want to help shape the future of discovery, relevance, and monetization at Reddit. If you love working on complex, real-world ML problems at massive scale, this role is for you. What You’ll Work On As a Machine Learning Engineer at Reddit, you will design and build production ML systems that power core experiences across the platform, including: Personalized recommendations, search, and ranking systems that help users discover the most relevant content and communities Intelligent advertising systems including ranking, bidding, measurement, and optimization Content, Advertisers, and User understanding, from building foundational content/user representations to deriving insightful signals Large-scale machine learning pipelines, model serving infrastructure, and real-time decision systems Applied AI and

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . At Reddit, machine learning sits at the heart of how millions of people discover, connect, and engage with the world’s largest collection of human conversations. From powering personalized recommendations and search to optimizing advertising systems and marketplace dynamics, our ML engineers tackle some of the most interesting and impactful problems in large-scale applied machine learning. We hire Machine Learning Engineers across both our Consumer and Ads organizations, giving you the opportunity to work on a wide range of high-impact problems across the Reddit ecosystem. We are looking for Machine Learning Engineers who are excited to build systems end-to-end, from research and modeling to production deployment, — and who want to help shape the future of discovery, relevance, and monetization at Reddit. If you love working on complex, real-world ML problems at massive scale, this role is for you. What You’ll Work On As a Machine Learning Engineer at Reddit, you will design and build production ML systems that power core experiences across the platform, including: Personalized recommendations, search, and ranking systems that help users discover the most relevant content and communities Intelligent advertising systems including ranking, bidding, measurement, and optimization Content, Advertisers, and User understanding, from building foundational content/user representations to deriving insightful signals Large-scale machine learning pipelines, model serving infrastructure, and real-time decision systems Applied AI and

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . At Reddit, machine learning sits at the heart of how millions of people discover, connect, and engage with the world’s largest collection of human conversations. From powering personalized recommendations and search to optimizing advertising systems and marketplace dynamics, our ML engineers tackle some of the most interesting and impactful problems in large-scale applied machine learning. We hire Machine Learning Engineers across both our Consumer and Ads organizations, giving you the opportunity to work on a wide range of high-impact problems across the Reddit ecosystem. We are looking for Machine Learning Engineers who are excited to build systems end-to-end, from research and modeling to production deployment, — and who want to help shape the future of discovery, relevance, and monetization at Reddit. If you love working on complex, real-world ML problems at massive scale, this role is for you. What You’ll Work On As a Machine Learning Engineer at Reddit, you will design and build production ML systems that power core experiences across the platform, including: Personalized recommendations, search, and ranking systems that help users discover the most relevant content and communities Intelligent advertising systems including ranking, bidding, measurement, and optimization Content, Advertisers, and User understanding, from building foundational content/user representations to deriving insightful signals Large-scale machine learning pipelines, model serving infrastructure, and real-time decision systems Applied AI and

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Reddit has a flexible workforce! If you happen to live close to one of our physical office locations our doors are open for you to come into the office as often as you'd like. Don't live near one of our offices? No worries: You can apply to work remotely in any country in which we have a physical presence. Role Description: This is a Generalist Senior Backend Engineer position within the Ads Organization. Ads is the fuel that powers Reddit’s mission. As a backend engineer on the team, candidates might work on: Microservices and APIs that power our advertiser-facing product, ads.reddit.com Distributed systems that ensure the right ad gets shown to the right user at the right time Backends that power interactive user experiences on our ads like Polls and Games Real time, data intensive systems that measure the performance of our ad campaigns Infrastructure that supports all of the above Technologies used on the team include: Languages: Go, Python, Scala Frameworks: Spark, Thrift, Baseplate, Kafka Datastores: Postgres, BigQuery, Redis, Druid Tools: Kubernetes, Argo, Docker Responsibilities: Work with product managers to design and implement Ads products. Collaborate closely with the platform and data teams while building new features. Lead the processes needed to improve operational stability, including improving code quality, delivering dashboards and data visualizations. Build extensible components that would align with the product objectives. Support day to day project management tasks including commun

Who Are We? Postman is the world’s leading API platform, used by more than 45 million+ developers and 500,000 organizations, including 98% of the Fortune 500. Postman is helping developers and professionals across the globe build the API-first world by simplifying each step of the API lifecycle and streamlining collaboration—enabling users to create better APIs, faster. The company is headquartered in San Francisco and has offices in Boston, New York, Austin, Tokyo, London, and Bangalore - where Postman was founded. Postman is privately held, with funding from Battery Ventures, BOND, Coatue, CRV, Insight Partners, and Nexus Venture Partners. Learn more at postman.com or connect with Postman on X via @getpostman. P.S: We highly recommend reading The "API-First World" graphic novel to understand the bigger picture and our vision at Postman. The Opportunity The Forward Deployed Engineering (FDE) team tackles some of Postman's most strategic technical challenges. We partner directly with enterprise customers to solve problems that don't fit neatly into existing product boundaries, building production-grade solutions that often become core product capabilities. As a Sr. Forward Deployed Engineer, you'll operate at the intersection of engineering, product, and customer success. You'll deploy Postman's critical infrastructure into customer environments, solve complex distributed systems challenges, and build the enterprise foundations that enable customers to safely adopt AI at scale. This isn't consulting or professional services. You're an engineer building production systems alongside customers, turning real-world deployments into durable platform capabilities used by thousands of organizations. This team will build 0-to-1 products from scratch - innovative, strategic initiatives designed to unlock hundreds of millions of dollars in new revenue. If you enjoy difficult engineering problems, working directly with customers, and building products from the field

Why Harvey At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. Role Overview As a Staff Frontend Software Engineer at Harvey, you’ll play a pivotal role in shaping the foundation of our product platform while directly building user-facing features for some of the world’s leading law firms and enterprise customers. This team owns and operates the platform layer that enables secure, reliable, and flexible experiences for our customers including notifications, permissions and feature flag infrastructure. We also build enterprise-grade collaboration product experiences for law firms. You will design and own systems that not only serve as critical infrastructure for the rest of the company, but also directly impact how our users engage with Harvey’s AI-powered legal tools. This role is ideal for engineers who are excited by the opportunity to move b

Why Harvey At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. Role Overview As a Staff Backend Software Engineer at Harvey, you’ll play a pivotal role in shaping the foundation of our product platform while directly building user-facing features for some of the world’s leading law firms and enterprise customers. This team owns and operates the platform layer that enables secure, reliable, and flexible experiences for our customers including notifications, permissions and feature flag infrastructure. We also build enterprise-grade collaboration experiences for law firms. You will design and own systems that not only serve as critical infrastructure for the rest of the company, but also directly impact how our users engage with Harvey’s AI-powered legal tools. This role is ideal for engineers who are excited by the opportunity to move between de

About the Team The Codex Research team creates the frontier agents OpenAI ships to the world. We are training the models behind our agents in Codex, ChatGPT, the API, and other frontier products: persistent, proactive intelligence that can operate computers, collaborate with people and other agents, and expand what people and organizations can imagine, attempt, and achieve. We define what the next generation of agents should be able to do, build the training signal that teaches those abilities, and run the experiments that make them real. Our work spans coding, tool use, computer use, multi-agent coordination, long-horizon execution, factuality, instruction following, calibrated reasoning, and taste. Our team is where new model capabilities get made. We build the data, environments, graders, training methods, and feedback loops that shape what OpenAI's next agents can do, then carry those capabilities through major training runs and into the products people use. About the Role As a member of the Codex Research team, you will improve the capabilities, reliability, and product fit of OpenAI's agentic models. You might own a research direction, build the infrastructure that makes large training runs faster and more trustworthy, create evals that reveal where models fail, or drive a capability from an idea through experimentation, integration, and launch. This role is intentionally broad. The strongest candidates are not defined by one method or subfield; they are people who can take an ambiguous capability problem and make progress across research, engineering, data, evals, and product. You should be excited to work on models that act in the world: writing and debugging code, using tools, calling functions, operating computers, collaborating with other agents, and completing valuable work on behalf of users. You will work with researchers, engineers, product teams, infrastructure teams, and safety/alignment partners to decide what should go into major model runs, measu

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. ABOUT THE ROLE: We’re looking for exceptional media engineers who want to join us on a new project to deeply integrate SpaceXSI's advanced AI infrastructure into a platform used by around 600 million users every month. We’re bringing SpaceXSI's technology stack and using it to transform the video product experience - video playback, live streaming, Spaces, audio/video calls, and more. This is your chance to contribute in a major way while leveraging all of the powerful AI tools and talented colleagues at SpaceXSI. RESPONSIBILITIES: Build the next generation of large-scale video services Contribute to and rebuild core media processing and distribution pipelines in high-performance languages (Rust, C++ or Go) Obsess over every millisecond and pixel, ensuring end-to-end media quality and performance at scale across a rich suite of products and user platforms BASIC QUALIFICATIONS: At least 5 years of experience Obsessed with media quality, performance, and product experience Proficient in high performance C++ or Go In-depth knowledge of either WebRTC or LL-HLS or video transcoding pipelines Familiar with building and running scalable and resilient distributed syste

OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa About OKX At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me, Do the Right Thing, and Get Things Done. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity Join our Retail Trading team and you will be working alongside a high-performing team to deliver comprehensive and timely market information to millions of retail users. You will leverage your expertise to design and build easy-to-use applications with distinguishable precision, speed, and insights. In this role, you’ll also contribute to the evolution of our architectural foundations, ensuring that our solutions remain reliable, scalable, and adaptable in a rapidly evolving market. What You’ll Be Doing Design, develop, and maintain high-quality backend systems for market analysis in a fast-paced, dynamic environment. Collaborate closely with product managers, frontend engineers, and infrastructure teams to deliver scalable and efficient solutions. Continuously improve system reliability, scalability, and maintainability through thoughtful design and engineering best practices. Actively participate in code reviews, architecture design discussion