Вакансии

Location: New York 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 Harvey is building the AI platform trusted by the world’s leading law firms and enterprises. Our infrastructure is the foundation that powers every customer interaction, every model inference, and every production workload. We’re looking for a Production Engineer to help build and operate Harvey’s core compute and networking infrastructure, Kubernetes platform, workflow orchestration platform, and production infrastructure foundations. You’ll work on the systems that enable engineering teams to move quickly and operate reliable services at scale. In this role, you’ll improve the reliability, scalability, security, and efficiency of Harvey’s infrastructure platform. You’ll solve complex production challenges across compute fleet management, capacity planning, infrastructure automation, and production operations. You’ll partner closely with Product Engineering, Security, AI Infrastructure, and Platform teams to ensure our infrastructure scales with Harvey’s rapid growth. At Harvey, we value Decisiveness, Simplicity, and the belief that Job’s Not Finished. We move quickly, prioritize clarity, and continuously raise the bar for engineering excellence. WHAT YOU'LL DO INFRASTRUCTURE ENGINEERING & TECHNICAL LEADERSHIP - Design, build, and operate the production infrastructure that powers Harvey’s products and AI workloads. - Drive technical direction across compute infrastructure, networking, Kubernetes, workflow orchestration, and production operations. - Lead complex, cross-functional technical initiatives that improve reliability, scalability, security, operational efficiency, and infrastructure cost. - Partner with Product Engineering, Security, AI Infrastructure, and Platform teams to translate product and business requirements into resilient infrastructure solutions. - Establish reusable patterns, tooling, and paved paths that help engineering teams ship and operate production services safely. - Raise the engineering bar through thoughtful design reviews, clear technical documentation, operational rigor, and mentorship. INFRASTRUCTURE FOUNDATION & PRODUCTION OPERATIONS - Build and operate Harvey’s global compute and network infrastructure, ensuring high availability, scalability, reliability, and performance. - Improve compute utilization, performance, and service availability while supporting rapidly growing AI workloads. - Develop capacity models, demand forecasts, and fleet lifecycle automation to help infrastructure scale efficiently with business growth. - Operate and continuously improve Harvey’s Kubernetes platform, including cluster provisioning, upgrades, networking, monitoring, reliability, performance, and operational automation. - Drive infrastructure cost efficiency through capacity management, resource rightsizing, workload optimization, and utilization monitoring. - Build secure infrastructure foundations, including identity and access management, network isolation, secrets management, auditing, and compliance controls. - Develop scalable Infrastructure-as-Code and automation frameworks using technologies such as Terraform and Pulumi. - Improve observability, monitoring, alerting, incident response, and operational readiness across the infrastructure platform. - Participate in the on-call rotation, lead incident response when needed, and turn production learnings into durable engineering improvements. WHAT YOU HAVE - 5+ years of software, infrastructure, site reliability, or production engineering experience. - Deep experience building and operating large-scale cloud infrastructure on AWS, Azure, or Google Cloud Platform. - Strong hands-on experience operating Kubernetes in production, including cluster lifecycle management, networking, and reliability. - Experience building and operating distributed systems with strong reliability, scalability, and performance characteristics. - Experience with infrastructure automation and Infrastructure-as-Code using tools such as Terraform or Pulumi. - Strong understanding of compute infrastructure, networking, capacity planning, fleet management, and production operations. - Experience designing and operating observability systems, including monitoring, logging, alerting, and incident response. - Strong understanding of infrastructure security, including IAM, network security, secrets management, and compliance best practices. - A track record of driving complex, cross-functional technical initiatives and influencing engineering decisions without relying on formal authority. - Excellent communication skills and the ability to explain technical concepts clearly to engineering partners and other stakeholders. - A systems-thinking mindset and a passion for building simple, reliable, and scalable infrastructure platforms. NICE TO HAVE - Experience supporting AI/ML or LLM infrastructure at scale. - Experience operating GPU fleets, high-performance compute infrastructure, or large-scale capacity planning. - Experience with multi-cloud infrastructure or hybrid cloud environments. - Experience building internal platforms or developer tooling that improves engineering velocity and production safety. COMPENSATION $190,000 - $280,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-AN2 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Harvey106 дн назад

Location: New York Workplace: Hybrid 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 Harvey is building the AI platform trusted by the world’s leading law firms and enterprises. Our infrastructure is the foundation that powers every customer interaction, every model inference, and every production workload. We’re looking for a Production Engineer to help build and operate Harvey’s core compute and networking infrastructure, Kubernetes platform, workflow orchestration platform, and production infrastructure foundations. You’ll work on the systems that enable engineering teams to move quickly and operate reliable services at scale. In this role, you’ll improve the reliability, scalability, security, and efficiency of Harvey’s infrastructure platform. You’ll solve complex production challenges across compute fleet management, capacity planning, infrastructure automation, and production operations. You’ll partner closely with Product Engineering, Security, AI Infrastructure, and Platform teams to ensure our infrastructure scales with Harvey’s rapid growth. At Harvey, we value Decisiveness, Simplicity, and the belief that Job’s Not Finished. We move quickly, prioritize clarity, and continuously raise the bar for engineering excellence. WHAT YOU'LL DO INFRASTRUCTURE ENGINEERING & TECHNICAL LEADERSHIP - Design, build, and operate the production infrastructure that powers Harvey’s products and AI workloads. - Drive technical direction across compute infrastructure, networking, Kubernetes, workflow orchestration, and production operations. - Lead complex, cross-functional technical initiatives that improve reliability, scalability, security, operational efficiency, and infrastructure cost. - Partner with Product Engineering, Security, AI Infrastructure, and Platform teams to translate product and business requirements into resilient infrastructure solutions. - Establish reusable patterns, tooling, and paved paths that help engineering teams ship and operate production services safely. - Raise the engineering bar through thoughtful design reviews, clear technical documentation, operational rigor, and mentorship. INFRASTRUCTURE FOUNDATION & PRODUCTION OPERATIONS - Build and operate Harvey’s global compute and network infrastructure, ensuring high availability, scalability, reliability, and performance. - Improve compute utilization, performance, and service availability while supporting rapidly growing AI workloads. - Develop capacity models, demand forecasts, and fleet lifecycle automation to help infrastructure scale efficiently with business growth. - Operate and continuously improve Harvey’s Kubernetes platform, including cluster provisioning, upgrades, networking, monitoring, reliability, performance, and operational automation. - Drive infrastructure cost efficiency through capacity management, resource rightsizing, workload optimization, and utilization monitoring. - Build secure infrastructure foundations, including identity and access management, network isolation, secrets management, auditing, and compliance controls. - Develop scalable Infrastructure-as-Code and automation frameworks using technologies such as Terraform and Pulumi. - Improve observability, monitoring, alerting, incident response, and operational readiness across the infrastructure platform. - Participate in the on-call rotation, lead incident response when needed, and turn production learnings into durable engineering improvements. WHAT YOU HAVE - 10+ years of software, infrastructure, site reliability, or production engineering experience. - Deep experience building and operating large-scale cloud infrastructure on AWS, Azure, or Google Cloud Platform. - Strong hands-on experience operating Kubernetes in production, including cluster lifecycle management, networking, and reliability. - Experience building and operating distributed systems with strong reliability, scalability, and performance characteristics. - Experience with infrastructure automation and Infrastructure-as-Code using tools such as Terraform or Pulumi. - Strong understanding of compute infrastructure, networking, capacity planning, fleet management, and production operations. - Experience designing and operating observability systems, including monitoring, logging, alerting, and incident response. - Strong understanding of infrastructure security, including IAM, network security, secrets management, and compliance best practices. - A track record of driving complex, cross-functional technical initiatives and influencing engineering decisions without relying on formal authority. - Excellent communication skills and the ability to explain technical concepts clearly to engineering partners and other stakeholders. - A systems-thinking mindset and a passion for building simple, reliable, and scalable infrastructure platforms. NICE TO HAVE - Experience supporting AI/ML or LLM infrastructure at scale. - Experience operating GPU fleets, high-performance compute infrastructure, or large-scale capacity planning. - Experience with multi-cloud infrastructure or hybrid cloud environments. - Experience building internal platforms or developer tooling that improves engineering velocity and production safety. COMPENSATION $231,000 - $340,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-AN2 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Harvey106 дн назад

Location: San Francisco Workplace: Hybrid 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 Harvey is building the AI platform trusted by the world’s leading law firms and enterprises. Our infrastructure is the foundation that powers every customer interaction, every model inference, and every production workload. We’re looking for a Production Engineer to help build and operate Harvey’s core compute and networking infrastructure, Kubernetes platform, workflow orchestration platform, and production infrastructure foundations. You’ll work on the systems that enable engineering teams to move quickly and operate reliable services at scale. In this role, you’ll improve the reliability, scalability, security, and efficiency of Harvey’s infrastructure platform. You’ll solve complex production challenges across compute fleet management, capacity planning, infrastructure automation, and production operations. You’ll partner closely with Product Engineering, Security, AI Infrastructure, and Platform teams to ensure our infrastructure scales with Harvey’s rapid growth. At Harvey, we value Decisiveness, Simplicity, and the belief that Job’s Not Finished. We move quickly, prioritize clarity, and continuously raise the bar for engineering excellence. WHAT YOU'LL DO INFRASTRUCTURE ENGINEERING & TECHNICAL LEADERSHIP - Design, build, and operate the production infrastructure that powers Harvey’s products and AI workloads. - Drive technical direction across compute infrastructure, networking, Kubernetes, workflow orchestration, and production operations. - Lead complex, cross-functional technical initiatives that improve reliability, scalability, security, operational efficiency, and infrastructure cost. - Partner with Product Engineering, Security, AI Infrastructure, and Platform teams to translate product and business requirements into resilient infrastructure solutions. - Establish reusable patterns, tooling, and paved paths that help engineering teams ship and operate production services safely. - Raise the engineering bar through thoughtful design reviews, clear technical documentation, operational rigor, and mentorship. INFRASTRUCTURE FOUNDATION & PRODUCTION OPERATIONS - Build and operate Harvey’s global compute and network infrastructure, ensuring high availability, scalability, reliability, and performance. - Improve compute utilization, performance, and service availability while supporting rapidly growing AI workloads. - Develop capacity models, demand forecasts, and fleet lifecycle automation to help infrastructure scale efficiently with business growth. - Operate and continuously improve Harvey’s Kubernetes platform, including cluster provisioning, upgrades, networking, monitoring, reliability, performance, and operational automation. - Drive infrastructure cost efficiency through capacity management, resource rightsizing, workload optimization, and utilization monitoring. - Build secure infrastructure foundations, including identity and access management, network isolation, secrets management, auditing, and compliance controls. - Develop scalable Infrastructure-as-Code and automation frameworks using technologies such as Terraform and Pulumi. - Improve observability, monitoring, alerting, incident response, and operational readiness across the infrastructure platform. - Participate in the on-call rotation, lead incident response when needed, and turn production learnings into durable engineering improvements. WHAT YOU HAVE - 10+ years of software, infrastructure, site reliability, or production engineering experience. - Deep experience building and operating large-scale cloud infrastructure on AWS, Azure, or Google Cloud Platform. - Strong hands-on experience operating Kubernetes in production, including cluster lifecycle management, networking, and reliability. - Experience building and operating distributed systems with strong reliability, scalability, and performance characteristics. - Experience with infrastructure automation and Infrastructure-as-Code using tools such as Terraform or Pulumi. - Strong understanding of compute infrastructure, networking, capacity planning, fleet management, and production operations. - Experience designing and operating observability systems, including monitoring, logging, alerting, and incident response. - Strong understanding of infrastructure security, including IAM, network security, secrets management, and compliance best practices. - A track record of driving complex, cross-functional technical initiatives and influencing engineering decisions without relying on formal authority. - Excellent communication skills and the ability to explain technical concepts clearly to engineering partners and other stakeholders. - A systems-thinking mindset and a passion for building simple, reliable, and scalable infrastructure platforms. NICE TO HAVE - Experience supporting AI/ML or LLM infrastructure at scale. - Experience operating GPU fleets, high-performance compute infrastructure, or large-scale capacity planning. - Experience with multi-cloud infrastructure or hybrid cloud environments. - Experience building internal platforms or developer tooling that improves engineering velocity and production safety. COMPENSATION $231,000 - $340,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-AN2 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Harvey106 дн назад

Senior Software Engineer II - Agentic Intelligence

Location: San Francisco Workplace: Hybrid 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 Harvey is building the AI platform trusted by the world’s leading law firms and enterprises. Our infrastructure is the foundation that powers every customer interaction, every model inference, and every production workload. We’re looking for a Production Engineer to help build and operate Harvey’s core compute and networking infrastructure, Kubernetes platform, workflow orchestration platform, and production infrastructure foundations. You’ll work on the systems that enable engineering teams to move quickly and operate reliable services at scale. In this role, you’ll improve the reliability, scalability, security, and efficiency of Harvey’s infrastructure platform. You’ll solve complex production challenges across compute fleet management, capacity planning, infrastructure automation, and production operations. You’ll partner closely with Product Engineering, Security, AI Infrastructure, and Platform teams to ensure our infrastructure scales with Harvey’s rapid growth. At Harvey, we value Decisiveness, Simplicity, and the belief that Job’s Not Finished. We move quickly, prioritize clarity, and continuously raise the bar for engineering excellence. WHAT YOU'LL DO INFRASTRUCTURE ENGINEERING & TECHNICAL LEADERSHIP - Design, build, and operate the production infrastructure that powers Harvey’s products and AI workloads. - Drive technical direction across compute infrastructure, networking, Kubernetes, workflow orchestration, and production operations. - Lead complex, cross-functional technical initiatives that improve reliability, scalability, security, operational efficiency, and infrastructure cost. - Partner with Product Engineering, Security, AI Infrastructure, and Platform teams to translate product and business requirements into resilient infrastructure solutions. - Establish reusable patterns, tooling, and paved paths that help engineering teams ship and operate production services safely. - Raise the engineering bar through thoughtful design reviews, clear technical documentation, operational rigor, and mentorship. INFRASTRUCTURE FOUNDATION & PRODUCTION OPERATIONS - Build and operate Harvey’s global compute and network infrastructure, ensuring high availability, scalability, reliability, and performance. - Improve compute utilization, performance, and service availability while supporting rapidly growing AI workloads. - Develop capacity models, demand forecasts, and fleet lifecycle automation to help infrastructure scale efficiently with business growth. - Operate and continuously improve Harvey’s Kubernetes platform, including cluster provisioning, upgrades, networking, monitoring, reliability, performance, and operational automation. - Drive infrastructure cost efficiency through capacity management, resource rightsizing, workload optimization, and utilization monitoring. - Build secure infrastructure foundations, including identity and access management, network isolation, secrets management, auditing, and compliance controls. - Develop scalable Infrastructure-as-Code and automation frameworks using technologies such as Terraform and Pulumi. - Improve observability, monitoring, alerting, incident response, and operational readiness across the infrastructure platform. - Participate in the on-call rotation, lead incident response when needed, and turn production learnings into durable engineering improvements. WHAT YOU HAVE - 5+ years of software, infrastructure, site reliability, or production engineering experience. - Deep experience building and operating large-scale cloud infrastructure on AWS, Azure, or Google Cloud Platform. - Strong hands-on experience operating Kubernetes in production, including cluster lifecycle management, networking, and reliability. - Experience building and operating distributed systems with strong reliability, scalability, and performance characteristics. - Experience with infrastructure automation and Infrastructure-as-Code using tools such as Terraform or Pulumi. - Strong understanding of compute infrastructure, networking, capacity planning, fleet management, and production operations. - Experience designing and operating observability systems, including monitoring, logging, alerting, and incident response. - Strong understanding of infrastructure security, including IAM, network security, secrets management, and compliance best practices. - A track record of driving complex, cross-functional technical initiatives and influencing engineering decisions without relying on formal authority. - Excellent communication skills and the ability to explain technical concepts clearly to engineering partners and other stakeholders. - A systems-thinking mindset and a passion for building simple, reliable, and scalable infrastructure platforms. NICE TO HAVE - Experience supporting AI/ML or LLM infrastructure at scale. - Experience operating GPU fleets, high-performance compute infrastructure, or large-scale capacity planning. - Experience with multi-cloud infrastructure or hybrid cloud environments. - Experience building internal platforms or developer tooling that improves engineering velocity and production safety. COMPENSATION $190,000 - $280,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-AN2 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Honeycomb106 дн назад

Location: Remote - United States What We’re Building Honeycomb is a service for the near and present future, defining observability and raising expectations of what developer tools can do! We’re working with well known companies like HelloFresh, Slack, LaunchDarkly, and Vanguard and more across a range of industries. This is an exciting time in our trajectory, we’ve closed Series D funding, scaled past the 200-person mark, and were named to Forbes’ America’s Best Startups of 2022 and 2023! If you want to see what we’ve been up to, please check out these blog posts and Honeycomb.io press releases . Who We Are We come for the impact, and stay for the culture! We’re a talented, opinionated, passionate, fiercely inclusive, and responsible group of bees. We have conviction and we strive to live our values every day. We want our people to do what they truly love amongst a team of highly talented (but humble) peers. How We Work We are a fully distributed company, which means we believe it is not where you sit, but how you deliver that matters most. We invest in our people and care about how you orient to our culture and processes. At the same time we imbue a lot of trust, autonomy, and accountability from Day 1. #LI-Remote Little more about the team: AI agents at Honeycomb investigate, reason, and act on real observability data. They live in Canvas: the agentic workspace where engineers go to understand their systems. The Agentic Intelligence team has shipped Canvas, the Honeycomb MCP server, and the Canvas Agent and Canvas Skills surfaces. What we're looking for today is someone who brings deep agent expertise and uses it to expand what the team can build: new agents, new surface area in Canvas, memory, spatial awareness, improved performance on our Bedrock loop. Honeycomb's data store is fast and accepts high cardinality data; that's what makes agents built on top of it different from anything built on a conventional observability backend. This role is about taking advantage of that building agents that can do things no other observability product can do because the underlying data makes it possible. Some of this work will start as a prototype. The expectation is that the code makes it through the full arc, from the rough first version through to something that holds up in production. What you'll do Design and deliver production-grade agents. Build agents that investigate, reason, and act on live observability data inside Canvas. These agents must be trustworthy to engineers in high pressure situations, including mid-incident. Take one from rough first version to something that holds up under production traffic. Own the agent work; support the whole product. Scope, build, ship, and maintain the agents including the evals that tell you whether they got better or are just different. This role is agent-focused and also includes some fullstack development. Build agents only Honeycomb can build. Use a data store that returns high-cardinality queries in seconds to reason over signal a conventional backend can't serve at this fidelity correlating across services, drilling into a single trace, comparing before and after a deploy. Extend the surface, and decide what's next. Ship new capability into Canvas, the MCP server, and Canvas Skills memory, spatial awareness, a faster Bedrock loop and make the case for what comes after with working code. Distinguish hype from signal in a field with plenty of both. Define what "good" means for agents here. Set the bar: measurable against real evals, maintainable, and honest about their limits. Example projects Multiple agents collaborating on one shared Canvas investigation each claiming a hypothesis, publishing findings, and narrowing the search space for the others so it resolves faster (blog). Auto-investigation the moment an SLO burn alert fires the agent forms hypotheses and prepares visualizations before a human looks, cutting mean-time-to-insight for on-call (o11ycon 2026). Skills that encode a team's domain expertise e.g. Kubernetes thresholds so agents and human colleagues can lean on them (o11ycon 2026). What you'll bring: AI and agent engineering experience. You've shipped LLM-based systems people relied on in production not demos, not fine-tuned models in a research context. You know where agent systems break and how to design around it. End-to-end ownership. On a small team there's no handoff queue. You can take something from rough prototype to production-grade without needing someone behind you to do the durable engineering. Current judgment, not just past experience. You have informed opinions about what's shifted in agent design in the last six to twelve months that would change how you'd build today. Agent architecture depth. You understand how a fast, high-cardinality data store changes what an agent can reason about, and how to design for that. Product judgment. You can look at what the agent layer does today and see what it should do next and make that case with a prototype, not a deck. Even better Observability or developer-tools background. Engineers are your users; you'll ramp faster with fluency in that world, and the work is better. Familiarity with eval frameworks, agent tooling, RAG, and prompt engineering. Base Salary based on level of experience $183,340 — $206,000 USD What you'll get when you join the Hive: A stake in our success - generous equity with employee-friendly stock program It’s not about how strong of a negotiator you are - our pay is based on transparent levels relative to experience Time to recharge with unlimited PTO A distributed-first mindset and culture (really!) Home office, co-working, and internet stipend Full benefits coverage for employees, with additional coverage available for dependents Up to 16 weeks of paid parental leave, regardless of path to parenthood Annual development allowance And much more... Please note we cannot currently sponsor or support visa transfers at this time. Additionally, in compliance with applicable law, all persons hired will be required to verify identity and eligibility to work. Phishing and Recruitment Scam Warning: We take your security seriously. Please be aware that recruitment scams are increasingly common and scammers may create email addresses or websites to impersonate Honeycomb employees. To help protect you: All communications will come from an @honeycomb.io email address We occasionally work with external recruiting agencies. These partners will use legitimate business email addresses— never personal accounts like Gmail or Yahoo . Our recruiting process will never ask you to provide financial or sensitive personal information, including but not limited to: Social security or tax identification numbers Credit card numbers Bank account information Diversity & Accommodations: We're committed to building a diverse, inclusive, and equitable workplace—where people of all backgrounds, identities, experiences, and abilities are welcomed, valued, and supported. We recognize that there is no single path to success and embrace nontraditional career journeys and diverse perspectives as key to building stronger, more innovative teams. We strive to ensure an inclusive experience throughout every stage of our hiring process and are happy to provide reasonable accommodations as needed. If you require accommodations or accessible formats at any point during our hiring process, please let your recruiter know. As an equal opportunity employer our hiring process is designed to put you at ease and help you show your best work. If there’s anything we can do to improve your experience, we’re always open to feedback. Privacy Notice: If you apply for a job at Honeycomb and your application is unsuccessful (or you withdraw from the process or decline our offer), Honeycomb will retain your information after your application for a period of time in accordance with local laws. We retain this information for various reasons, including in case we face a legal challenge in respect of a recruitment decision, to consider you for other current or future jobs at Honeycomb, and to help us better understand, analyze and improve our recruitment processes. For more information regarding our privacy practices please see the Honeycomb Privacy Notice . If you do not want us to retain your information, or want us to update it, please contact privacy@honeycomb.io . Please note, however, that we may retain some information if required by law or as necessary to protect ourselves from legal claims.

Aviasales132 дн назад

Backend Python Developer

Aviasales для бизнеса — сервис организации командировок и первый в мире мета-поиск авиабилетов для компаний. Сервис сравнивает цены на авиабилеты среди разных поставщиков и предлагает b2c-прайс для бизнеса. Кроме авиабилетов, продаются отели, ЖД-билеты, автобусные билеты, трансферы, страховки и дополнительные услуги. Компании получают дешёвые цены на тревел-услуги, удобный личный кабинет, возможность заказа билетов сотрудниками, настраиваемые тревел-политики и все необходимые закрывающие документы для бухгалтерии. Бэкенд написан на Python, фронтенд – REST, на 85% обслуживает основную панель для клиентов, на 10% — внутреннюю админку саппорта, на 5% — публичную часть API. Часть кода отвечает за взаимодействие с фронтендом и реализует внутреннюю логику, другая часть — множество взаимодействий с поставщиками и связки с другими сервисами. Задачи планируются недельными спринтами в Jira. Задачи: — разрабатывать бекенд на Python; — вносить изменения в уже существующие компоненты; — проактивно предлагать улучшения в архитектуре и коде, опережая появление проблем; — участвовать в планировании развития системы и приоритезации технических задач; — проектировать архитектуру новых сервисов бекенда Авиасейлс для бизнеса (корпоративные путешествия: авиа, ж/д, отели, автобусы, бизнес-трипы, политики, отчётность). Требования: — уверенное владение Python; — экспертиза в DDD и лучших архитектурных практиках; — опыт с любым из современных Python-стеков: Django / FastAPI / SQLAlchemy; — опыт применения паттернов проектирования и SOLID; — опыт работы с PostgreSQL, MongoDB и построения оптимальных схем данных; — знание Kubernetes, Docker, CI/CD (Jenkins, GitHub Actions); — опыт с системами очередей и асинхронными задачами (Kafka); — опыт проектирования систем с четким разделением на слои ответственности; — опыт фича оунерства: умение коммуницировать с бизнес-заказчиками и техническими специалистами, умение рассказывать кейсы; — навыки автоматизированного тестирования (pytest). Условия: — работа из любой точки мира; — оплата в долларах; — удобные процессы без бюрократии, горизонтальные и открытые коммуникации, быстрое обсуждение идей и принятие решений; — компенсации: ДМС, психотерапия или иностранные языки, занятия спортом и больничный; — возможность работать на Пхукете с видом на океан.

УдалённоГеография найма не уточнена

DRW106 дн назад

Senior Software Engineer, Treasury and Reference Data (Java/Ruby/Python)

Location: Chicago DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. UP (Unified Platform) consolidates data and technologies into a comprehensive solution, accelerating time to market. Optimizing decision-making and research, our platform simplifies implementing new ideas, enhancing our competitive edge. We work from high-level requirements where programmers are expected to gain an intimate understanding of the business. We strive for an environment where developers have the autonomy to pursue business solutions without arbitrary management constraints. We are a group of polyglots and technologists always seeking to find the right tool for each problem. Broadly, the development teams at DRW believe in rapid deployment and feedback, automated testing, and cohesive, transparent, lightly coupled service architectures. DRW has openings for Senior Software Engineers on its Treasury and Reference Data development teams. These teams build and operate systems the firm depends on for financing, liquidity, and the instrument data that underpins trading and post-trade workflows. The teams are small and collaborative — you’ll work directly with business partners and enjoy building meaningful products from day one. These openings sit on two related teams: Treasury — builds systems that support position financing, margin and collateral management, and cash and liquidity management across the firm. Reference Data — owns the data platform that stores and distributes instrument and related reference data used across research, trading, and post-trade workflows. We hire through a single interview pipeline and match candidates to the team and problems that fit best as we learn more about each person’s current skills and long-term development goals. Responsibilities: Designing, building, and testing systems used across the firm — services, data products, and the UIs that sit on them Collaborating with business partners to turn ambiguous business problems into clear technical plans and shipped software Owning software end-to-end after it ships — we run what we build (deploy, operate, on-call) Working across greenfield systems and existing codebases Building and improving tooling and processes around CI/CD, containers, and Kubernetes / internal cloud Mentoring and raising the bar for engineering practice Learning and championing useful new technologies where they fit Desirable Experience: We are looking for strong senior generalists. Experience in the following areas is helpful: Full-stack development in Java, Python (FastAPI), and/or Ruby (Rails) Strong relational data modeling fundamentals GitOps and Kubernetes Job orchestration systems (Airflow, Prefect, etc.) Though prior domain experience is not required, relevant background can help place a candidate on a particular team: Payments and/or treasury systems (Treasury) Vendor/exchange data processing and/or data taxonomy (Reference Data) The annual base salary range for this position is $200,000 to $275,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . #LI-GV1

DRW106 дн назад

Senior Software Engineer, Unified Platform - Digital Assets

Location: London DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. DRW has an opening for a Senior Software Engineer focused on digital assets. The team builds and operates systems that move and safeguard cryptoassets across the firm — including treasury automation, wallet inventory and reference data, integrations with custody platforms, and operational controls used by digital asset operations. You’ll work directly with those business partners and enjoy building meaningful products from day one. At DRW we strive for an environment where technologists are free to pursue solutions to the problems of the business free from arbitrary management constraints and supported by excellent technical resources. All development teams at DRW believe in rapid deployment and feedback, automated testing, and cohesive, transparent, lightly-coupled service architectures. We ship on Kubernetes with modern CI/CD. Candidates should have strong initiative and proven experience independently driving projects to completion. We work from high-level requirements and value engineers who dig into the business to build the right thing. Responsibilities: - Designing, building, and testing full-stack applications (APIs through UI) used by digital asset operations and related business partners - Partnering with those teams to turn ambiguous business problems into clear technical plans and shipped software - Owning software end-to-end after it ships — we run what we build (deploy, operate, on-call); we don’t hand systems off to a separate ops team - Working across greenfield systems and existing codebases - Building and improving tooling and processes around CI/CD, containers, and Kubernetes / internal cloud - Collaborating with other software teams, trading desks, and business units - Mentoring and raising the bar for engineering practice on a small team - Learning and championing useful new technologies where they fit Desirable Experience: - We are looking for strong senior engineers with crypto or digital-asset systems experience. Deep Python expertise is a meaningful differentiator for this role. - Cryptoassets, digital-asset operations, or custody / wallet platforms (or closely adjacent high-stakes money-movement systems) - DeFi, smart contracts, staking, or other on-chain systems - Full-stack development with Python (FastAPI) - Strong relational data modeling fundamentals - GitOps and Kubernetes - Job orchestration systems (Airflow, Prefect, etc.) For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . #LI-MM1

Компания не указана106 дн назад

Middle Python-разработчик

Задачи: — разрабатывать и поддерживать микросервисы на FastAPI и взаимодействовать со смежными командами для интеграции компонентов и ML-моделей в сервисы — проводить системный анализ бизнес-требований при проектировании архитектуры и API (REST, Kafka) для новых сервисов (логика сценария, состояния, переходы, ограничения, ошибки, fallback-ветки, затронутые компоненты и критерии приемки) — развивать AI pipeline агента: корректировать и продумывать промпты для GigaChat, реализовывать RAG классификации, настраивать пороговые значения, настраивать эмбеддинг модели, реализовывать ограничения (лимиты) вызовов LLM с целью оптимизации затрат у ускорения работы — оптимизировать производительность сервисов на всех уровнях: код (asyncio, threading), хранение данных и запросы (PostgreSQL, продвинутый SQL, индексы, шардирование), кэширование (Ignite), работа с очередями (Kafka) — участвовать в проектировании тестовых сценариев и создании тестовых датасетов. Контролировать качество реализации, проводить глубокий анализ дефектов, определять их корневые причины. Требования: — опыт разработки на Python от 3 лет, включая самостоятельное проектирование архитектуры компонентов сервисов на основе бизнес-требований — практический опыт создания высоконагруженных и отказоустойчивых микросервисов на FastAPI, а также продуктов с внедрением ML решений — понимание принципа работы LLM/AI агентов, prompt-engineering, RAG, embeddings, классификации, latency и ограничений генеративных моделей — практический опыт работы с фреймворками ML/DS:(LangChain/GigaChain, Scikit-Learn, Pandas и др.) — глубокие знания в области асинхронных приложений, базовый SQL, опыт работы с брокерами сообщений (Kafka), Docker, Kubernetes — высокая культура совместной работы используя BitBucket/Jira, бережное отношение к коммитам, знание процессов Agile (Scrum) — опыт анализа логов через написание парсеров и диагностических инструментов. Условия: — комфортный современный офис на м. Кутузовская — формат работы: офис на время адаптации и далее гибрид (2–3 дня в неделю в офисе) — ежегодный пересмотр зарплаты, годовая премия — корпоративный спортзал и зоны отдыха — более 400 образовательных программ СберУниверситета для профессионального и карьерного развития — расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа — подписка Прайм с возможностью совместного использования на трёх близких — вознаграждение за рекомендации друзей в команду Сбера.

ГибридmiddleМосква

Nebius106 дн назад

Location: London, United Kingdom About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Nebius is seeking a IT Risk & Controls Manager to act as an embedded risk partner to our engineering and technology organizations. You will help scale and strengthen a modern IT SOX and controls framework across Nebius’s custom-built AI cloud platform, infrastructure, corporate technology environment and other systems supporting financial reporting. This role goes beyond traditional IT audit testing. You will work directly with engineering leaders, system owners, Finance, Internal Controls and external auditors to identify risk, design scalable controls, improve evidence quality, drive remediation and embed compliance into the way our technology organizations operate. The successful candidate will combine deep IT risk and controls expertise with meaningful in-house technology experience. You must be equally comfortable discussing technical control design with engineers, explaining risk implications to business leaders and aligning audit expectations with external assurance providers. Your responsibilities will include: Act as the risk and controls partner for an assigned technology organization or system portfolio, developing a detailed understanding of its architecture, operations, risks and financial-reporting dependencies. Own and continuously improve the relevant IT risk and control framework, including system scoping, risk assessment, RCM and control-catalogue maintenance, documentation and control ownership. Lead IT SOX readiness for assigned systems, including walkthrough preparation, evidence-quality review, testing coordination, issue evaluation and remediation oversight. Partner with engineering, platform, infrastructure, security and corporate IT teams to design and implement scalable controls that address risk while supporting operational efficiency. Design, assess and enhance ITGCs across areas such as user access, privileged access, segregation of duties, change management, SDLC, system operations, incident management and third-party services. Assess IT application controls, automated controls and IT-dependent business controls, including the completeness and accuracy of system-generated information used in business-process controls. Evaluate how business controls depend on systems, integrations, configurations, reports and underlying ITGCs, and work with both business and IT control owners to resolve gaps. Apply risk and controls thinking to modern engineering practices, including cloud infrastructure, DevOps, CI/CD, repositories, deployment processes, containerized environments and audit logging. Lead the assessment and remediation of control gaps arising from new systems, major technology transformations, platform changes, integrations and acquisitions. Review third-party assurance reports and determine the impact of vendor controls and complementary user-entity controls on the Nebius control environment. Maintain effective working relationships with external auditors and advisers, aligning on audit scope, evidence expectations, testing approaches, reliance opportunities, timelines and issue resolution. Translate complex technical risks and auditor requirements into practical guidance for engineering and system owners. Use data analytics, automation, continuous monitoring and AI-assisted tools to improve control coverage, evidence quality and the efficiency of the IT SOX program. Contribute to the development of IT controls methodology, standards, tooling, training, reporting and the broader Risk Partner operating model. Provide clear, concise updates on control health, audit readiness, deficiencies and remediation progress to senior technology and Finance stakeholders. We expect you to have: A degree in Information Systems, Computer Science, Engineering, Accounting, Finance or a related discipline, or equivalent professional experience. At least eight years of progressive experience in IT risk, IT controls, IT SOX, technology assurance, IT audit or a closely related area. Meaningful in-house technology or corporate ownership experience is required. Big Four or consulting experience is valuable when combined with subsequent in-house responsibility, but an exclusively advisory or external-audit background will not be sufficient. Experience working in a first-line technology, engineering, systems or IT operations role, or as an embedded in-house risk partner supporting a technology organization. Hands-on experience in an engineering-led technology, cloud, SaaS, platform or digital-product environment. Strong practical knowledge of SOX 404, ITGCs, IT application controls, automated controls, COSO and COBIT. Demonstrated experience with control design, implementation, monitoring, evidence review, audit readiness, issue evaluation and remediation. Practical understanding of modern technology environments, including cloud infrastructure, IAM, DevOps, CI/CD, SDLC, software repositories, deployment practices, system integrations and container orchestration such as Kubernetes. Experience connecting business-process controls to supporting systems, automated controls, IPEs/IUCs and underlying IT dependencies. The ability to communicate effectively with engineers, technical leaders, Finance stakeholders and external auditors. Strong judgment and the confidence to challenge control owners while developing practical, scalable solutions. A highly autonomous and hands-on approach, with the ability to operate effectively in an evolving environment with incomplete processes and competing priorities. Strong written and verbal English. The ability to work effectively across international time zones and travel when needed to build relationships with key technology and audit stakeholders. It will be an added bonus if you have: A professional certification such as CISA, CRISC, CISM, CIA, CPA or an equivalent qualification. Experience building or materially transforming an IT SOX or technology-controls framework in a listed or pre-IPO technology company. Experience in AI infrastructure, cloud platforms, large-scale SaaS, fintech, marketplaces or another engineering-intensive environment. Experience with GRC and audit-management tools such as Workiva, Jira, ServiceNow GRC or similar platforms. Experience with enterprise SaaS and financial systems such as NetSuite, HR platforms, billing systems, procurement tools or treasury systems. Experience onboarding acquired companies or newly implemented systems into SOX scope. Experience with control automation, continuous monitoring, data analytics or AI-assisted assurance. Exposure to AI governance, AI/ML control environments or controls supporting AI-enabled development and operations. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Nebius106 дн назад

Location: Spain About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Nebius is seeking a IT Risk & Controls Manager to act as an embedded risk partner to our engineering and technology organizations. You will help scale and strengthen a modern IT SOX and controls framework across Nebius’s custom-built AI cloud platform, infrastructure, corporate technology environment and other systems supporting financial reporting. This role goes beyond traditional IT audit testing. You will work directly with engineering leaders, system owners, Finance, Internal Controls and external auditors to identify risk, design scalable controls, improve evidence quality, drive remediation and embed compliance into the way our technology organizations operate. The successful candidate will combine deep IT risk and controls expertise with meaningful in-house technology experience. You must be equally comfortable discussing technical control design with engineers, explaining risk implications to business leaders and aligning audit expectations with external assurance providers. Your responsibilities will include: Act as the risk and controls partner for an assigned technology organization or system portfolio, developing a detailed understanding of its architecture, operations, risks and financial-reporting dependencies. Own and continuously improve the relevant IT risk and control framework, including system scoping, risk assessment, RCM and control-catalogue maintenance, documentation and control ownership. Lead IT SOX readiness for assigned systems, including walkthrough preparation, evidence-quality review, testing coordination, issue evaluation and remediation oversight. Partner with engineering, platform, infrastructure, security and corporate IT teams to design and implement scalable controls that address risk while supporting operational efficiency. Design, assess and enhance ITGCs across areas such as user access, privileged access, segregation of duties, change management, SDLC, system operations, incident management and third-party services. Assess IT application controls, automated controls and IT-dependent business controls, including the completeness and accuracy of system-generated information used in business-process controls. Evaluate how business controls depend on systems, integrations, configurations, reports and underlying ITGCs, and work with both business and IT control owners to resolve gaps. Apply risk and controls thinking to modern engineering practices, including cloud infrastructure, DevOps, CI/CD, repositories, deployment processes, containerized environments and audit logging. Lead the assessment and remediation of control gaps arising from new systems, major technology transformations, platform changes, integrations and acquisitions. Review third-party assurance reports and determine the impact of vendor controls and complementary user-entity controls on the Nebius control environment. Maintain effective working relationships with external auditors and advisers, aligning on audit scope, evidence expectations, testing approaches, reliance opportunities, timelines and issue resolution. Translate complex technical risks and auditor requirements into practical guidance for engineering and system owners. Use data analytics, automation, continuous monitoring and AI-assisted tools to improve control coverage, evidence quality and the efficiency of the IT SOX program. Contribute to the development of IT controls methodology, standards, tooling, training, reporting and the broader Risk Partner operating model. Provide clear, concise updates on control health, audit readiness, deficiencies and remediation progress to senior technology and Finance stakeholders. We expect you to have: A degree in Information Systems, Computer Science, Engineering, Accounting, Finance or a related discipline, or equivalent professional experience. At least eight years of progressive experience in IT risk, IT controls, IT SOX, technology assurance, IT audit or a closely related area. Meaningful in-house technology or corporate ownership experience is required. Big Four or consulting experience is valuable when combined with subsequent in-house responsibility, but an exclusively advisory or external-audit background will not be sufficient. Experience working in a first-line technology, engineering, systems or IT operations role, or as an embedded in-house risk partner supporting a technology organization. Hands-on experience in an engineering-led technology, cloud, SaaS, platform or digital-product environment. Strong practical knowledge of SOX 404, ITGCs, IT application controls, automated controls, COSO and COBIT. Demonstrated experience with control design, implementation, monitoring, evidence review, audit readiness, issue evaluation and remediation. Practical understanding of modern technology environments, including cloud infrastructure, IAM, DevOps, CI/CD, SDLC, software repositories, deployment practices, system integrations and container orchestration such as Kubernetes. Experience connecting business-process controls to supporting systems, automated controls, IPEs/IUCs and underlying IT dependencies. The ability to communicate effectively with engineers, technical leaders, Finance stakeholders and external auditors. Strong judgment and the confidence to challenge control owners while developing practical, scalable solutions. A highly autonomous and hands-on approach, with the ability to operate effectively in an evolving environment with incomplete processes and competing priorities. Strong written and verbal English. The ability to work effectively across international time zones and travel when needed to build relationships with key technology and audit stakeholders. It will be an added bonus if you have: A professional certification such as CISA, CRISC, CISM, CIA, CPA or an equivalent qualification. Experience building or materially transforming an IT SOX or technology-controls framework in a listed or pre-IPO technology company. Experience in AI infrastructure, cloud platforms, large-scale SaaS, fintech, marketplaces or another engineering-intensive environment. Experience with GRC and audit-management tools such as Workiva, Jira, ServiceNow GRC or similar platforms. Experience with enterprise SaaS and financial systems such as NetSuite, HR platforms, billing systems, procurement tools or treasury systems. Experience onboarding acquired companies or newly implemented systems into SOX scope. Experience with control automation, continuous monitoring, data analytics or AI-assisted assurance. Exposure to AI governance, AI/ML control environments or controls supporting AI-enabled development and operations. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Nebius106 дн назад

Location: Berlin, Germany About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Nebius is seeking a IT Risk & Controls Manager to act as an embedded risk partner to our engineering and technology organizations. You will help scale and strengthen a modern IT SOX and controls framework across Nebius’s custom-built AI cloud platform, infrastructure, corporate technology environment and other systems supporting financial reporting. This role goes beyond traditional IT audit testing. You will work directly with engineering leaders, system owners, Finance, Internal Controls and external auditors to identify risk, design scalable controls, improve evidence quality, drive remediation and embed compliance into the way our technology organizations operate. The successful candidate will combine deep IT risk and controls expertise with meaningful in-house technology experience. You must be equally comfortable discussing technical control design with engineers, explaining risk implications to business leaders and aligning audit expectations with external assurance providers. Your responsibilities will include: Act as the risk and controls partner for an assigned technology organization or system portfolio, developing a detailed understanding of its architecture, operations, risks and financial-reporting dependencies. Own and continuously improve the relevant IT risk and control framework, including system scoping, risk assessment, RCM and control-catalogue maintenance, documentation and control ownership. Lead IT SOX readiness for assigned systems, including walkthrough preparation, evidence-quality review, testing coordination, issue evaluation and remediation oversight. Partner with engineering, platform, infrastructure, security and corporate IT teams to design and implement scalable controls that address risk while supporting operational efficiency. Design, assess and enhance ITGCs across areas such as user access, privileged access, segregation of duties, change management, SDLC, system operations, incident management and third-party services. Assess IT application controls, automated controls and IT-dependent business controls, including the completeness and accuracy of system-generated information used in business-process controls. Evaluate how business controls depend on systems, integrations, configurations, reports and underlying ITGCs, and work with both business and IT control owners to resolve gaps. Apply risk and controls thinking to modern engineering practices, including cloud infrastructure, DevOps, CI/CD, repositories, deployment processes, containerized environments and audit logging. Lead the assessment and remediation of control gaps arising from new systems, major technology transformations, platform changes, integrations and acquisitions. Review third-party assurance reports and determine the impact of vendor controls and complementary user-entity controls on the Nebius control environment. Maintain effective working relationships with external auditors and advisers, aligning on audit scope, evidence expectations, testing approaches, reliance opportunities, timelines and issue resolution. Translate complex technical risks and auditor requirements into practical guidance for engineering and system owners. Use data analytics, automation, continuous monitoring and AI-assisted tools to improve control coverage, evidence quality and the efficiency of the IT SOX program. Contribute to the development of IT controls methodology, standards, tooling, training, reporting and the broader Risk Partner operating model. Provide clear, concise updates on control health, audit readiness, deficiencies and remediation progress to senior technology and Finance stakeholders. We expect you to have: A degree in Information Systems, Computer Science, Engineering, Accounting, Finance or a related discipline, or equivalent professional experience. At least eight years of progressive experience in IT risk, IT controls, IT SOX, technology assurance, IT audit or a closely related area. Meaningful in-house technology or corporate ownership experience is required. Big Four or consulting experience is valuable when combined with subsequent in-house responsibility, but an exclusively advisory or external-audit background will not be sufficient. Experience working in a first-line technology, engineering, systems or IT operations role, or as an embedded in-house risk partner supporting a technology organization. Hands-on experience in an engineering-led technology, cloud, SaaS, platform or digital-product environment. Strong practical knowledge of SOX 404, ITGCs, IT application controls, automated controls, COSO and COBIT. Demonstrated experience with control design, implementation, monitoring, evidence review, audit readiness, issue evaluation and remediation. Practical understanding of modern technology environments, including cloud infrastructure, IAM, DevOps, CI/CD, SDLC, software repositories, deployment practices, system integrations and container orchestration such as Kubernetes. Experience connecting business-process controls to supporting systems, automated controls, IPEs/IUCs and underlying IT dependencies. The ability to communicate effectively with engineers, technical leaders, Finance stakeholders and external auditors. Strong judgment and the confidence to challenge control owners while developing practical, scalable solutions. A highly autonomous and hands-on approach, with the ability to operate effectively in an evolving environment with incomplete processes and competing priorities. Strong written and verbal English. The ability to work effectively across international time zones and travel when needed to build relationships with key technology and audit stakeholders. It will be an added bonus if you have: A professional certification such as CISA, CRISC, CISM, CIA, CPA or an equivalent qualification. Experience building or materially transforming an IT SOX or technology-controls framework in a listed or pre-IPO technology company. Experience in AI infrastructure, cloud platforms, large-scale SaaS, fintech, marketplaces or another engineering-intensive environment. Experience with GRC and audit-management tools such as Workiva, Jira, ServiceNow GRC or similar platforms. Experience with enterprise SaaS and financial systems such as NetSuite, HR platforms, billing systems, procurement tools or treasury systems. Experience onboarding acquired companies or newly implemented systems into SOX scope. Experience with control automation, continuous monitoring, data analytics or AI-assisted assurance. Exposure to AI governance, AI/ML control environments or controls supporting AI-enabled development and operations. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Nebius106 дн назад

Staff Software Engineer, Backend (Cost Engineering)

Location: Remote - United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Nebius is seeking a IT Risk & Controls Manager to act as an embedded risk partner to our engineering and technology organizations. You will help scale and strengthen a modern IT SOX and controls framework across Nebius’s custom-built AI cloud platform, infrastructure, corporate technology environment and other systems supporting financial reporting. This role goes beyond traditional IT audit testing. You will work directly with engineering leaders, system owners, Finance, Internal Controls and external auditors to identify risk, design scalable controls, improve evidence quality, drive remediation and embed compliance into the way our technology organizations operate. The successful candidate will combine deep IT risk and controls expertise with meaningful in-house technology experience. You must be equally comfortable discussing technical control design with engineers, explaining risk implications to business leaders and aligning audit expectations with external assurance providers. Your responsibilities will include: Act as the risk and controls partner for an assigned technology organization or system portfolio, developing a detailed understanding of its architecture, operations, risks and financial-reporting dependencies. Own and continuously improve the relevant IT risk and control framework, including system scoping, risk assessment, RCM and control-catalogue maintenance, documentation and control ownership. Lead IT SOX readiness for assigned systems, including walkthrough preparation, evidence-quality review, testing coordination, issue evaluation and remediation oversight. Partner with engineering, platform, infrastructure, security and corporate IT teams to design and implement scalable controls that address risk while supporting operational efficiency. Design, assess and enhance ITGCs across areas such as user access, privileged access, segregation of duties, change management, SDLC, system operations, incident management and third-party services. Assess IT application controls, automated controls and IT-dependent business controls, including the completeness and accuracy of system-generated information used in business-process controls. Evaluate how business controls depend on systems, integrations, configurations, reports and underlying ITGCs, and work with both business and IT control owners to resolve gaps. Apply risk and controls thinking to modern engineering practices, including cloud infrastructure, DevOps, CI/CD, repositories, deployment processes, containerized environments and audit logging. Lead the assessment and remediation of control gaps arising from new systems, major technology transformations, platform changes, integrations and acquisitions. Review third-party assurance reports and determine the impact of vendor controls and complementary user-entity controls on the Nebius control environment. Maintain effective working relationships with external auditors and advisers, aligning on audit scope, evidence expectations, testing approaches, reliance opportunities, timelines and issue resolution. Translate complex technical risks and auditor requirements into practical guidance for engineering and system owners. Use data analytics, automation, continuous monitoring and AI-assisted tools to improve control coverage, evidence quality and the efficiency of the IT SOX program. Contribute to the development of IT controls methodology, standards, tooling, training, reporting and the broader Risk Partner operating model. Provide clear, concise updates on control health, audit readiness, deficiencies and remediation progress to senior technology and Finance stakeholders. We expect you to have: A degree in Information Systems, Computer Science, Engineering, Accounting, Finance or a related discipline, or equivalent professional experience. At least eight years of progressive experience in IT risk, IT controls, IT SOX, technology assurance, IT audit or a closely related area. Meaningful in-house technology or corporate ownership experience is required. Big Four or consulting experience is valuable when combined with subsequent in-house responsibility, but an exclusively advisory or external-audit background will not be sufficient. Experience working in a first-line technology, engineering, systems or IT operations role, or as an embedded in-house risk partner supporting a technology organization. Hands-on experience in an engineering-led technology, cloud, SaaS, platform or digital-product environment. Strong practical knowledge of SOX 404, ITGCs, IT application controls, automated controls, COSO and COBIT. Demonstrated experience with control design, implementation, monitoring, evidence review, audit readiness, issue evaluation and remediation. Practical understanding of modern technology environments, including cloud infrastructure, IAM, DevOps, CI/CD, SDLC, software repositories, deployment practices, system integrations and container orchestration such as Kubernetes. Experience connecting business-process controls to supporting systems, automated controls, IPEs/IUCs and underlying IT dependencies. The ability to communicate effectively with engineers, technical leaders, Finance stakeholders and external auditors. Strong judgment and the confidence to challenge control owners while developing practical, scalable solutions. A highly autonomous and hands-on approach, with the ability to operate effectively in an evolving environment with incomplete processes and competing priorities. Strong written and verbal English. The ability to work effectively across international time zones and travel when needed to build relationships with key technology and audit stakeholders. It will be an added bonus if you have: A professional certification such as CISA, CRISC, CISM, CIA, CPA or an equivalent qualification. Experience building or materially transforming an IT SOX or technology-controls framework in a listed or pre-IPO technology company. Experience in AI infrastructure, cloud platforms, large-scale SaaS, fintech, marketplaces or another engineering-intensive environment. Experience with GRC and audit-management tools such as Workiva, Jira, ServiceNow GRC or similar platforms. Experience with enterprise SaaS and financial systems such as NetSuite, HR platforms, billing systems, procurement tools or treasury systems. Experience onboarding acquired companies or newly implemented systems into SOX scope. Experience with control automation, continuous monitoring, data analytics or AI-assisted assurance. Exposure to AI governance, AI/ML control environments or controls supporting AI-enabled development and operations. #LI-DY1 Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $120,000 — $180,000 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Affirm106 дн назад

Location: Remote Canada At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. Engineering owns cost visibility and optimization across Affirm's cloud and AI infrastructure. We're the team that tells the business what it's spending, why it's changing, and what to do about it — from AWS resource waste and tagging strategy to the newer frontier of AI/LLM spend across the company's growing set of AI tools. We treat cost anomalies with the same rigor as production incidents: we've built a severity framework (mirroring Affirm's SEV0–3 incident model but mapped to dollar impact) with defined detection sources, TTD/TTR metrics, and escalation paths, and we operate a clear RACI with partner orgs — we own visibility and alerting, and partner teams own remediation (at times we may dig in deep and own remediation too!), so accountability never gets diffuse. As a Staff Cost Engineer, you'll operate at the intersection of finance, infrastructure, and data engineering — designing the tooling, automation, and processes that scale cost governance across a fast-growing multi-cloud and multi-AI-vendor footprint. You'll set technical direction for the team, influence cost strategy with infra and platform leaders across the org, and turn ambiguous "why did spend spike" questions into durable systems and self-service tooling. We're a small, high-leverage team — you'll have outsized influence on how Affirm thinks about cost. What You'll Do · You will be responsible for setting technical strategy for your team on a year-long time scale, and help your team tie it together with critical, business-impacting projects. · You will collaborate across teams in the product development lifecycle by collaborating with product management, design & analytics to ensure technical sustainability, risks and trade-offs are well understood and managed. · You will act as a force-multiplier for your team through your definition and advocacy of technical solutions and operational processes. · You take ownership of your team’s operations and availability by ensuring you have the right monitoring, triage rotations, playbooks, polcities, testing and alerting in place to support “keep the lights on” & on-call efforts. · You will foster a culture of quality and ownership on your team by setting code review and design standards for your team, and advocating for them beyond your team through your writing and tech talks. · You will help develop talent on your team by providing feedback and guidance, and leading by example. What We Look For · You have 8+ years of experience designing, developing and launching backend systems at scale using languages like Python or Kotlin. · You have an extensive track record of developing highly available distributed systems using technologies like AWS, MySQL, Spark and Kubernetes. · Experience with a FinOps or cost-visibility platform (e.g., FinOut, CloudHealth, Kubecost, or an internal equivalent) — building dashboards, anomaly detection, or savings/waste reporting rather than just consuming them. · Track record of building automation or tooling (Python, Terraform, or similar) that turns a manual cost-review process into a scalable, self-service system — not just one-off analysis. · Hands-on experience with cloud billing/cost data at scale (AWS Cost & Usage Reports, Snowflake or similar warehouses) — comfortable writing complex SQL to model spend, allocate cost, and build unit-economics views from raw billing data. · You have experience delivering major features, system components or deprecating existing functionality in a system through the definition of a technical and execution plan. You write high quality code that is easily understood and used by others. · You thrive in ambiguity, and are comfortable moving from low level language idioms all the way to the architecture of large systems to understand how they work. · Your growth and impact trajectory demonstrates that you have mastered gathering and iterating on feedback from your engineering and cross-functional peers. · You have strong verbal and written communication skills that support effective collaboration with our global engineering team. Pay Grade - P Equity Grade - 7 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company). CAN base pay range per year: CAD $ 181,000 - $ 241,000. Location - Remote Canada This remote role is open only to candidates residing in Alberta, British Columbia, Manitoba, New Brunswick, Newfoundland and Labrador, Nova Scotia, Ontario, Prince Edward Island, or Saskatchewan. This posting is for an existing vacancy. #LI Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

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