Вакансии

Location: Chicago, Austin 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. The Virtualization team provides scalable on-premises compute for DRW’s trading desks, data scientists, and enterprise application teams. Our goal is to enable teams to keep focused on their business goals by providing simple, scalable solutions with off the shelf tools and the right amount of focused engineering. We're looking for a Senior Engineer for our Virtualization team who will help guide the design and implementation of a new OpenStack-based virtualization platform. In this role you will help guide key architectural decisions for this platform, set engineering standards, identify and eliminate risks, and ensure optimal performance and cost-efficiency. Our philosophy: We believe in relentless automation of repetitive tasks. We have the curiosity and drive to dig deep and find creative solutions. We believe our goal is to find the right solution rather than always being right. We provide exceptional customer service to our teams and trading desks. We care more that the right thing is done than about rigid job descriptions or boundaries. What you’ll do: Own and improve infrastructure, processes, and standards for DRW’s Virtualization platform. Relentlessly automate repetitive manual tasks. Design, implement, and manage OpenStack clouds, including deployment, configuration, and maintenance of OpenStack components. Diagnose and rectify complex problems involving multiple teams related to OpenStack including compute, storage, and networking issues. Provide exceptional customer service to our platform’s users. Coach engineers on best practices, help investigate outages, set a high standard for operational and technical excellence. Ability to troubleshoot and resolve critical production issues in a high-intensity trading environment as part of an on-call rotation. Your background: Expert level proficiency in administration of OpenStack. Deep knowledge of networking, storage, Linux, and virtualization fundamentals. Proficiency with industry-standard IAC tooling (e.g. Terraform, Ansible). Scripting/Coding experience in multiple languages (e.g. Python, Golang, Bash). Experience maintaining/deploying/configuring server hardware and deploying virtual machines. A service focused attitude: you ask questions and focus on getting the right resources and solutions to people instead of rigid boundaries. Strong written and verbal communication skills. You can work across teams and have evidence-based discussions on technical and operational topics. You enjoy leading by example. You cultivate technical excellence and soft skills in your team members. Bonus points if you have: Experience with VMWare ESXi. Experience with Containerization / Kubernetes. Experience administering on-premise infrastructure. Experience developing, deploying, and supporting full stack web applications. Experience with multiple programming languages in both greenfield development and legacy maintenance. The annual base salary range for this position is $220,000 to $280,000 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-SK1]

Location: Barcelona, Spain; Madrid, Spain About Workato Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit workato.com . Why join us? Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles . We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care . That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: Business Insider named us an “enterprise startup to bet your career on” Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America Quartz ranked us the #1 best company for remote workers Workato is looking for an Engineering Manager to lead the ChatBots and AI team within our Platform organization. This is a high-ownership role for someone who thrives in ambiguity: you turn unclear requirements into clear execution plans, make confident decisions with incomplete information, and keep both the team and leadership aligned. The team is fully remote and international - you'll build the processes and culture that make it work at pace. About the Team The ChatBots and AI team's mission is to deliver AI agents to end users. We own the runtime and integration layer - conversation storage, API design, streaming, and integrations with external interfaces like Slack and other applications. The team is made up of Senior and Staff engineers working in Ruby/Rails and Go on a modern stack: PostgreSQL, Kafka, Redis, Kubernetes, and AWS. You'll collaborate with dedicated QA, SRE, and UX/UI teams, as well as engineering teams across the broader organization. Workato has a strong cross-functional culture - your team won't work in isolation. What You'll Do Delivery Partner with Product Managers and stakeholders to scope projects, set timelines, and define what success looks like Plan and track execution across quarters and sprints; deliver on schedule without compromising quality Identify blockers early, resolve them decisively, and escalate when escalation is the right call Balance feature work against internal investments - AI-SDLC, CI/CD, platform upgrades, and technical debt Team Manage, mentor, and grow a team of Senior and Staff engineers Own hiring, onboarding, and performance management Design team processes that fit a distributed, asynchronous environment - and evolve them as the team and company change Apply AI tooling to how the team works, not just what it builds Technical Ownership Participate in architecture and design decisions as a technical peer to your engineers Make trade-off calls on scope, approach, and sequencing - and be accountable for them Understand the system deeply enough to allocate the team's capacity where it matters most Communication Keep leadership informed on progress, risks, and blockers with clarity and without spin Build working relationships with peer leads across engineering and product Represent your team's priorities and constraints in cross-team planning What We're Looking For 5+ years managing engineering teams, including Senior and Staff-level individual contributors Senior engineer-level technical depth - you can read the code, challenge a design, and hold your own in an architecture discussion Hands-on background in backend engineering; experience with Ruby, Go, or comparable languages and distributed systems Demonstrated ability to operate under ambiguity: defining direction where none exists, and committing to decisions before all the information is available Track record of shipping complex software on schedule in a fast-moving environment Experience managing a fully remote, distributed team across multiple time zones Strong written communication - in an async environment, writing is the primary management tool Nice to Have Experience building AI-powered products - agents, LLM pipelines, or orchestration systems Background in platform, integration, or developer-facing infrastructure Experience scaling a team through periods of rapid growth Familiarity with enterprise SaaS or automation platforms (REQ ID: 2941)

Location: San Francisco, CA, USA About the role Chime’s Machine Learning Platform (MLP) team builds and operates the infrastructure, tooling, and developer experience that powers machine learning across the company. We enable data scientists and ML engineers to develop, train, deploy, and monitor models reliably and efficiently. As a Senior Software Engineer on the Machine Learning Platform team, you will design and build scalable systems spanning traditional machine learning and emerging AI workloads, including model training, feature computation, real-time inference, foundation-model access, evaluation, and agentic orchestration. You’ll work at the intersection of distributed systems, cloud infrastructure, applied machine learning, and AI product engineering. This role focuses on creating secure, reliable, and reusable platform capabilities that help teams choose the right approach, from conventional predictive models to LLM-powered and multi-step agentic systems, while maintaining strong standards for evaluation, observability, governance, privacy, and cost efficiency. In this role, you can expect to Design, build, and operate scalable ML and AI infrastructure on AWS. Design and operate shared platform capabilities for LLM and agentic workloads, including model access, prompt and configuration lifecycle, retrieval, tool integration, state management, and workflow orchestration. Build evaluation frameworks for non-deterministic AI systems, including offline benchmarks, regression testing, online quality signals, human feedback, and failure analysis. Establish observability, reliability, and governance for models and agents, covering traces, model and prompt versions, tool calls, latency, token usage, quality, safety, privacy, and cost. Help teams make principled architecture decisions across traditional ML, LLM-powered applications, and agentic workflows, and contribute to the platform’s technical roadmap. Build distributed training, batch inference, and large-scale processing systems using frameworks such as Ray or Spark. Build and maintain infrastructure as code using Terraform. Support and evolve the feature store and feature pipelines. Develop data ingestion and streaming systems using technologies such as Kinesis, Kafka, Flink, or Spark. Improve CI/CD workflows for ML models, AI applications, and platform components. Partner closely with Data Science and ML Engineering teams to improve developer experience. Participate in on-call rotations to support production systems. To thrive in this role, you have Knowledge of the machine learning development lifecycle, including data preprocessing, model training, evaluation, deployment, and monitoring. Experience designing distributed systems and large-scale data or compute platforms on AWS using frameworks such as Spark or Ray. 5+ years of experience in ML or AI infrastructure, platform engineering, distributed systems, or production ML systems. Working knowledge of LLM application patterns such as retrieval-augmented generation, structured outputs, tool calling, agent orchestration, and evaluation of non-deterministic systems. Experience designing production systems that integrate ML or foundation models through reliable APIs, workflows, and data contracts. Hands-on experience with CI/CD pipelines, DevOps practices, and infrastructure as code. Experience with containerization and orchestration technologies such as Docker and Kubernetes. Strong programming skills in Python, Go, Scala, Java, or similar languages. Solid understanding of software engineering fundamentals, including testing, version control, code review, and observability. Nice-to-have Experience shipping LLM-powered or agentic systems to production. Experience with one or more of the following: model gateways, prompt lifecycle management, retrieval or vector search, tool execution, and agent orchestration frameworks. Experience building evaluation, tracing, and observability capabilities for non-deterministic AI systems. Familiarity with managed or self-hosted foundation model infrastructure, such as Amazon Bedrock, SageMaker, or equivalent platforms. Experience operating GPU-based workloads and optimizing training or inference performance and cost; CUDA experience is a plus. #LI-Onsite #LI-WW1 Below is the base salary offered for this role and level of experience. Full-time employees may also be eligible for bonus(es), competitive equity, and benefits. For commissioned roles, the base salary listed in this job description does not include incentive/variable pay. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience. Wage Notice $187,000 — $259,000 USD A little about us At Chime, we believe that everyone can achieve financial progress. We created Chime—a financial technology company, not a bank*—on the premise that core banking services should be helpful, easy, and free. Through our user-friendly tools and intuitive platforms, we empower our members to take control of their finances and work towards their goals. Whether it's starting a savings account, purchasing a first car or home, launching a business, or pursuing higher education, we're proud to have helped millions unlock their financial potential. We're a team of problem solvers, dreamers, and builders with one shared obsession: our members. From day one, Chimers have worked tirelessly to out-hustle and out-execute competitors to bring our mission to life. Their grit and determination inspire us to work harder every day to deliver the very best experience possible. We each bring an owner's mindset to our work, refusing to be outdone and holding ourselves accountable to meet and exceed the highest bars for our teams, our company, and our members. We believe in being bold, dreaming big, and taking risks, while also working together, embracing our diverse perspectives, and giving each other honest feedback. Our culture remains deeply entrepreneurial, encouraging every Chimer to see themselves as stewards of our mission to help everyday Americans unlock their financial progress. We know that to achieve our mission, we must earn and keep people's trust—so we hold ourselves to the highest standards of integrity in everything we do. These aren't just words on a wall—our values are embedded in every aspect of our business, serving as a north star that guides us as we work to help millions achieve their financial potential. Because if we don't—who will? *Chime is a financial technology company, not a bank. Banking services provided by The Bancorp Bank, N.A. or Stride Bank, N.A., Members FDIC. What we offer for our full-time, regular employees 🏢 Our in-office work policy is designed to keep you connected - with four days a week in the office and Fridays from home for those near one of our offices, plus team and company-wide events depending on location. 💻 Benefits that support your work and life, including backup child, elder, and pet care and subsidized commuter benefits for eligible employees. ✨ Comprehensive health, financial, and wellbeing benefits designed to support you at every stage of life. 🏝 Generous vacation policy and company-wide paid days off 🫂 1% of your time off to support local community organizations of your choice 👟 Annual wellness stipend to use towards eligible wellness related expenses 👶 Up to 22 weeks of paid parental leave for birthing parents and 12 weeks of paid parental leave for non-birthing parents 👪 Access to family planning reimbursement 💚 A challenging and fulfilling opportunity to join one of the most experienced teams in FinTech and help millions unlock financial progress We know that great work can’t be done without a diverse team and inclusive environment. That’s why we specifically look for individuals of varying strengths, skills, backgrounds, and ideas to join our team. We believe this gives us a competitive advantage to better serve our members and helps us all grow as Chimers and individuals. Chime is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the San Francisco Fair Chance Ordinance, Cook County Ordinance, NYC Fair Chance Act, and the LA City Fair Chance Ordinance, and consistent with Canadian provincial and federal laws. If you have a disability or special need that requires accommodation during any stage of the application process, please contact: accommodations@chime.com . To learn more about how Chime collects and uses your personal information during the application process, please see the Chime Applicant Privacy Notice .

О компании ITKey - российская технологическая компания с 18-летней историей. Мы разрабатываем и внедряем решения для частных облаков и виртуализации, а также сопровождаем критически важную IT-инфраструктуру крупных корпоративных заказчиков. Основная экспертиза компании - OpenStack и IaaS-платформы. Среди клиентов банки, телеком-операторы, ритейл, государственные структуры и компании из списка РБК-500. Часть клиентов работает с нами более 10 лет. Ключевые продукты компании - KeyStack для построения частных облаков и KeyVirt для виртуализации. Задачи: - Проводить встречи, презентации и демонстрации наших платформ - Готовить и вести пилотные внедрения/PoC - Формировать ТКП- описывать базовую архитектуру и оценивать стоимость реализации проекта - Принимать участие в подготовке предпроектной документации- ТЗ, HLD и опросных листов - Взаимодействовать с командами архитектуры, разработки и внедрения Требования: - Базовое понимание устройства современного ЦОД (серверы, сети, разные типы хранилищ) - Понимание сетей на уровне концепций (L2/L3, VLAN/VXLAN) - Понимание принципов работы с LLM - Базовый опыт работы с Linux - Понимание принципов виртуализации и облачных подходов - Опыт работы с vmware или другими платформами виртуализации - Понимание принципов устройства SDS (Ceph, e.t.c) - Знание архитектуры OpenStack и Kubernetes Условия: - График работы 5/2 с возможностью гибридного формата - Оформление по ТК РФ - Бонусная система, включая проектные премии - ДМС, программы психологической поддержки - Компания оплачивает обучение и сертификацию - Возможность профессионального и карьерного роста

Задачи: — разрабатывать и поддерживать DAG в Apache Airflow — работать со скорингом (рассчитывать стратегии взыскания клиентов) — программировать на Python (основном языке) — оптимизировать запросы и работать с Oracle (SQL, хранимыми процедурами) — поддерживать и сопровождать выгруженные DAG — участвовать в разработке и применении моделей (машинном обучении, сегментации клиентов) — проводить код-ревью — самостоятельно проводить аналитику (в команде нет системных аналитиков) Требования: — уверенное коммерческое программирование на Python — опыт создания DAG и работы с Apache Airflow — опыт оптимизации запросов в Oracle, знание хранимых процедур — базовые навыки Linux (сборка образа, решение задач без DevOps) — опыт работы с Kubernetes — уровень Middle: около 2–3 лет коммерческой разработки на Python — релевантный опыт с Airflow 2–3 года — опыт именно оптимизации запросов в Oracle, а не просто написания простых запросов

Задачи: — разрабатывать и поддерживать микросервисы на Java 17+ (Spring Boot) — участвовать в развитии архитектуры сервисов: от постановки задач до внедрения — работать с технологическим стеком: Kafka, PostgreSQL, Kubernetes, Gitlab CI — проводить code-review, участвовать в разборе инцидентов и развитии технических процессов в команде — взаимодействовать с аналитиками, архитекторами, тестировщиками и другими разработчиками Требования: — опыт профилирования Java-приложений от 2-х лет — опыт реализации сервисов в рамках микросервисной архитектуры — понимание внутреннего устройства Spring Framework — опыт участия в принятии архитектурных паттернов и решений — опыт участия в разборе инцидентов Стек технологий: Java 17 Spring Kafka PostgreSQL Gitlab CI Kubernetes Atlassian (JIRA, Confluence)

Компания МТС Банк использует современные цифровые решения и развивает технологичные банковские сервисы для B2B и B2C. Команды создают сайты на TypeScript + React + Next.js с SSR и реализуют проекты в Kubernetes-среде для обеспечения надежности. Задачи: — развивать платформу: участвовать в архитектурных обсуждениях, принимать ключевые технические решения, взаимодействовать с инфраструктурными командами и разработкой — управлять стратегией: формировать и реализовывать дорожную карту инфраструктуры с учетом масштабируемости, отказоустойчивости и безопасности — внедрять инновации: оценивать новые технологии и принимать решения об их интеграции — обеспечивать стабильность: мониторить состояние кластеров, сервисов и хранилищ — оптимизировать ресурсы: анализировать использование мощностей и предлагать меры по снижению расходов — поддерживать порядок: вести актуальную документацию — улучшать процессы: проводить ретроспективы, искать возможности для автоматизации и повышения эффективности Требования: — 5+ лет в SRE/devops/платформенной эксплуатации — глубокие знания Linux, сетей (L3/L4/L7, DNS, TLS, BGP, GSLB), контейнеризации и Kubernetes (Ingress, Istio, Helm, Kyverno, Keda) — навыки поиска узких мест и деградаций — опыт построения мульти-ЦОД кластеров Kubernetes — навыки работы с service mesh — знания и практическое применение сетевых плагинов Kubernetes (Calico, Cilium) — навыки работы и администрирования кластеров с ArgoCD, Vault, Consul — опыт работы с объемными плейбуками Ansible — опыт настройки CI/CD пайплайнов — практика построения мониторинга и алертинга: метрики, логи, трейсы (Opentelemetry, Jaeger, VictoriaMetrics, AlertManager) — будет плюсом опыт работы с Keycloak, Kubevela, OpenBao

Компания МТС Банк ищет специалиста на позицию ML/DevOps Engineer в Москве. Задачи: — деплоить и интегрировать модели, сопутствующие сервисы и инструменты, автоматизировать поставку и оптимизировать потребление ресурсов — мониторить и поддерживать работоспособность — обеспечивать соответствие политикам информационной безопасности и стандартам надёжности при развёртывании ML‑решений Требования: — уверенное администрирование Linux, понимание сетевых протоколов и потенциальных точек отказа — опыт конфигурации и распределения мощностей видеокарт для обучения и инференса моделей — опыт настройки мониторинга инфраструктуры и метрик деградации моделей — опыт работы с vllm, Triton Inference Server, FastAPI, KServe или TorchServe — опыт построения сложных многоэтапных пайплайнов с упором на безопасность Технологический стек включает Docker, Linux, Kubernetes, Bash, GitLab CI, Ansible, Terraform, Airflow, Python, vllm, cuda, triton, Prometheus/Victoria Metrics, Grafana, SQL, Postgres, Elasticsearch, MLflow, Qdrant, Nexus, Vault.

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations Austin, US Lisbon, Portugal London, UK About the Role The Egress team was formed to own a very important aspect of Cloudflare's network-as-a-service: Egress connectivity for our vast portfolio of products. As a member of the Egress team, you will be a key technical contributor to a cutting edge network software infrastructure used by a growing number of Cloudflare products to connect to any destination from Cloudflare's network. Among the products powered by this technology is WARP, our Zero Trust platform, and Cloudflare's egress proxy for the iCloud Private Relay product. You will work closely with various Engineering teams to translate their requirements into new capabilities on the platform. Likewise you will partner with Network Engineering and SRE to ensure that the technology makes the best use of Cloudflare's world-class edge network. You will participate in all stages of the software development lifecycle, from designing and documenting systems, to writing code and automated tests, to planning, managing, and monitoring production software deployments. You will work with a wide range of technologies and programming languages, including Rust, Go, Linux networking, ClickHouse, PostgreSQL, Grafana, Kubernetes, and more. Engineering teams at Cloudflare operate a Run What You Build model, including ours. We are responsible for the health of our system and participate in our team's on-call rotation as part of operational responsibilities. Because you’ll be solving problems of massive scale and significance, you are a growth-oriented individual who enjoys being outside of your comfort zone. You are comfortable in a fast-paced but sensible work environment. You value curiosity and empathy and lead with these values. Responsibilities Make daily progress on assigned engineering tasks, such as designing systems, writing specs, writing and pushing code via git, writing release plans for complex changes, rolling out production releases and working with other teams to coordinate system actions Participate in daily and ad-hoc team meetings to share progress and collaborate Participate in the team’s on-call schedule to ensure uptime of our production systems Investigating customer issues that are escalated to the Egress team for triage and resolution Responding to questions from other teams in the Egress team’s internal, public chat room Using AI-powered tools and systems as part of your daily workflow to analyze and extend codebases, introspect production systems and datasets, and accelerate problem-solving Desirable Skills, Knowledge, and Experience 3+ years of hands-on software engineering experience, including a track record of owning the architecture of complex, distributed, production-critical systems end to end. Programming experience in Go or Rust and a desire to improve your skills in both. A solid grasp of networking protocols in Layers 3 and 4 of the OSI Model. Knowledge of HTTP, TLS, and CDN networks. Experience in implementing secure and highly-available distributed systems. Strong ability to debug issues in complex systems. Strong collaboration and communication skills. Experience/interest in HTTP networking and VPN technologies. Experience/interest in network performance monitoring and tuning. Willingness to adopt and integrate AI tools and systems into your engineering workflow. Bonus Points Knowledge of TCP/IP and Internet routing. Professional systems-level programming experience in Rust. Experience building tools and APIs. Experience with monitoring, alerting, and debugging large-scale distributed systems Experience participating in an on-call rotation. Experience using AI-assisted development tools (e.g., code completion, codebase analysis, log/data exploration) in a professional setting. Compensation ● For Portugal based hires: Estimated annual salary is between €54,000 - €75,000. The final offer will be inclusive of time exemption, in alignment with the applicable law and collective bargaining agreements. Equity This role is eligible to participate in Cloudflare’s equity plan. What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Задачи: — Проектировать и строить backend-системы, которые являются чистыми, тестируемыми и эффективными. — Архитектурно создавать масштабируемые API и инфраструктуру, способную обрабатывать высоконадежные и высоконагруженные требования. — Вносить сильные мнения по тестированию, качеству и долгосрочной поддерживаемости в каждый проект. — Решать сложные продуктовые задачи, глубоко анализируя потребности пользователей и поведение системы. — Формировать инженерные практики и техническую культуру через сотрудничество и практическое лидерство. Требования: — Опыт работы backend-инженером от 5 до 7+ лет, предпочтительно 7+ лет. — Владение как минимум одним backend-языком, таким как Node.js/TypeScript, Python, Go или Java; опыт с Node.js и TypeScript является большим плюсом. — Опыт проектирования и архитектуры масштабируемой backend-инфраструктуры для высоконадежных или регулируемых сред, таких как финтех, платежи или идентификация. — Опыт работы с реляционными базами данных (Postgres или MySQL). — Опыт работы с очередями сообщений или событийно-ориентированными архитектурами (RabbitMQ, Kafka или аналогичные); знание паттернов Event Sourcing будет плюсом. — Опыт развертывания и управления приложениями в контейнеризированных или облачных средах (Kubernetes, AWS или аналогичные). — Сильное системное мышление, способность рассуждать о долгосрочных архитектурных последствиях, а не только о отдельных функциях. — Умение ясно коммуницировать, разбирать сложность и тесно сотрудничать с командой. — Комфорт в работе в условиях неопределенности и на ранних этапах развития, где практики активно формируются. — Обязательное проживание в европейском часовом поясе. Условия: — Полностью удаленная работа с обязательным нахождением в европейском часовом поясе. — Команда собирается лично периодически в течение года. — Базовая годовая зарплата от 116000 до 146000 евро, без индивидуальных переговоров по зарплате. — Визовая поддержка не предоставляется.

Location: Armenia; Latvia; Spain; Albania; Bosnia & Herzegovina; Estonia; Poland; Portugal; Italy; Romania Workplace: Remote Location: Fully remote, EU timezone (CET ±2h) Start date: ASAP Languages: Fluent English required Industry: Cloud Computing / GPU Infrastructure ABOUT THE OPPORTUNITY Pragmatike is hiring a Senior SRE / Infrastructure Engineer to help operate and scale a distributed infrastructure platform spanning bare-metal GPU nodes, Kubernetes, virtualization, networking, and multi-site environments. You’ll work close to the infrastructure itself, from BMCs, hardware and MAAS provisioning through Kubernetes, networking, observability, automation, and site operations. This is a hands-on role for someone who enjoys owning infrastructure end-to-end, building reliable systems, and automating everything that can be automated. Startup or hyper-growth experience is a strong plus: autonomy, ownership, and speed matter here. WHAT YOU’LL DO - Operate and maintain large-scale Linux infrastructure across Debian/Ubuntu-based bare-metal and virtualized environments. - Own MAAS-based bare-metal provisioning, including region/rack controllers, PXE, commissioning, cloud-init, node lifecycle, and API/CLI automation. - Operate and maintain production Kubernetes clusters, including upgrades, node pools, networking, storage, troubleshooting, and cluster lifecycle management. - Design and maintain multi-site networking across VLANs, L2/L3 routing, bonded interfaces, VPNs, firewalls, and DNS. - Automate infrastructure provisioning and operations using Ansible, Bash/Python, OpenTofu/Terraform, and Git-based workflows. - Build and maintain automated deployment workflows including PXE, cloud-init, and infrastructure-as-code pipelines. - Operate observability platforms using Prometheus, Grafana, Alertmanager, VictoriaMetrics/VictoriaLogs, and related tooling. - Define and improve SLIs, SLOs, alerting, and reliability practices across infrastructure and platform services. - Lead infrastructure incident response, troubleshooting, escalation, and post-incident improvements. - Maintain on-call processes and operational coverage across distributed environments. - Work close to the hardware layer, including IPMI/Redfish, BMCs, RAID, storage, hardware diagnostics, and GPU infrastructure. - Manage virtualization platforms including Proxmox VE and KVM/libvirt, including GPU passthrough where required. - Build and maintain internal infrastructure tooling for host discovery, configuration, IPAM, hardware health, and operational automation. - Own infrastructure lifecycle activities including site onboarding, maintenance, decommissioning, drift detection, and operational runbooks. - Work closely with engineering and cross-functional teams to improve reliability, resource utilization, and operational efficiency. WHAT WE’RE LOOKING FOR - 5+ years of hands-on SRE, Infrastructure, Systems, or Platform Engineering experience. - Expert-level Linux administration, particularly Debian/Ubuntu. - Strong production experience with MAAS and bare-metal provisioning. - Expert-level, hands-on experience operating Kubernetes in production, including cluster lifecycle, networking, storage, upgrades, and troubleshooting. - Strong networking fundamentals and practical experience with VLANs, L2/L3 routing, bonding, firewalls, VPNs, and DNS. - Strong automation skills with Ansible, Bash and/or Python. - Experience with Terraform/OpenTofu and Git-based infrastructure workflows. - Production experience with Prometheus/Grafana and comparable observability platforms. - Experience with incident response, on-call operations, monitoring, alerting, and reliability practices. - Experience with Proxmox, KVM/libvirt, VMware, or comparable virtualization technologies. - Experience with bare-metal hardware, BMCs, IPMI/Redfish, storage, and hardware troubleshooting. - Strong understanding of distributed systems, container orchestration, and infrastructure reliability. - Ability to create SOPs, runbooks, and operational processes from scratch. - Comfortable working autonomously in a fast-paced, engineering-driven environment. NICE TO HAVE - Experience operating GPU infrastructure or GPU-heavy Kubernetes/bare-metal environments. - Proxmox VE with ZFS/Ceph and GPU passthrough. - VictoriaMetrics / VictoriaLogs or similar large-scale observability platforms. - NetBox or other IPAM / infrastructure inventory platforms. - Vault, SOPS, Atlantis, or similar infrastructure security and automation tooling. - Experience with Cloudflare APIs, DNS automation, or tunnels. - Experience with UniFi or comparable site networking platforms. - Experience with service mesh or advanced CNI implementations. - Go experience, particularly for infrastructure tooling or custom exporters. - Experience with Ceph or distributed databases running on bare metal. - Experience operating infrastructure across multiple sites and timezones. WHY JOIN US - 100% remote with flexible working hours - High-impact role with significant technical ownership and autonomy - Work directly with bare-metal, Kubernetes, networking, and GPU infrastructure - International, engineering-driven team - Strong focus on automation, reliability, and infrastructure at scale - Opportunity to shape the architecture and operational foundations of a growing cloud platform Pragmatike is committed to a fair, transparent, and inclusive recruitment process. We do not discriminate based on age, disability, gender, gender identity or expression, marital or civil partner status, pregnancy or maternity, race, religion or belief, sex, or sexual orientation. In accordance with GDPR, your personal data will be processed lawfully, fairly, and securely, and used solely for recruitment purposes, including sharing it with our client(s) for employment consideration.

Location: United Kingdom (Hybrid); United Kingdom (Remote); Spain; Netherlands Workplace: Hybrid Most money apps talk at you. Cleo talks back ✨ We're not building another finance app. We're building the world's first AI financial assistant, one that actually understands your money and makes you better at it, and we're changing the world's relationship with money in the process 💰 For everyone, whatever their background or balance. The proof: profitable, fast-growing, a unicorn with over $300M in ARR, and millions of people who now feel differently about their money. We love original thinkers who challenge the status quo. We move fast, tell the truth, and there's nowhere to hide from good work here. If that excites you more than it scares you, you'll fit right in. Follow us on LinkedIn https://www.linkedin.com/company/cleo-ai/ for new features and the occasional roast 🔥 MEET THE TEAM 👥 Here at Cleo, we have ~45 ML engineers ✨ They are the builders behind the AI that powers our product. They design experiments, create models that personalise financial insights, deploy fraud detection systems and scale our conversational AI, making sure that what we build genuinely helps people feel better about their money. From shaping product features and building the models that personalise our users' money journeys, to tackling fraud, scaling our systems and giving leaders the insights they need, our data team is at the heart of it all. ABOUT THE ROLE ✍️ We're hiring an ML Engineering Manager to join the existing data science function at Cleo - a collaborative team of ML engineers, analysts, and data engineers - to build and deploy production models that go directly into the product. You'll lead the ML workstream behind our Financial Assistant feature, shaping how Cleo uses LLMs to have more engaging, accurate, and personalised conversations about money. This is a people management role: you'll manage the ML engineers across your squads, own the headcount plan, and be responsible for hiring and team development in your area. - Understand the core problems faced by the Financial Assistant team and coordinate the ML function's contribution to solving them - Find opportunities for model and product improvements in Cleo's extensive customer behaviour datasets - Manage the ML engineers in your squads - coaching and developing them to deliver on the roadmap - Build out the headcount plan and own hiring and team development within your area to support growth WHAT WE'RE LOOKING FOR 🕵️ - Extensive experience building and deploying machine learning models to production - Experience managing and developing high-performing teams of data scientists and ML engineers - A habit of keeping abreast of the latest research and experimenting productively with new technologies, including LLMs and LLM agent design - Experience owning an ML roadmap, driving new ideas through to business impact - Ability to write production-quality Python code, with a willingness to stay somewhat hands-on - Nice to have: domain knowledge of NLP, including evaluating LLM systems and fine-tuning LLMs or other transformer models - Nice to have: a strong ability to communicate findings to non-technical stakeholders concisely and engagingly - Nice to have: experience with containers and container orchestration - Kubernetes, Docker, and/or Mesos - Nice to have: experience using vector databases such as OpenSearch WHAT WE OFFER We offer benefits package built to support you in and out of work. Benefits vary by country 🌍 and include meaningful equity, comprehensive health insurance, mental health support, a paid one-month sabbatical after four years, a learning & development platform, pension or retirement contributions, and location-specific leave entitlements. For the full breakdown on what's available in your location, visit our Candidate Hub https://meetcleo.notion.site/Cleo-Candidate-Hub-3b95c63b874580e9a068fdc6c8929ebf 👈 WHAT MATTERS Cleo's mission is to change the world's relationship with money. We can't do that without building a brilliant, genuinely diverse team - and making sure our hiring process gives everyone a fair shot, running a fair and transparent recruitment process in which every candidate is considered on their merits. We're glad to make reasonable adjustments at any stage of the process. If there's anything we can do to support you in showing us your best, please let your recruiter or one of the team know. We may use AI-assisted tools during the recruitment process to take support the team in different ways like taking notes or referring back to conversations. They do not replace the team and all applications are reviewed by a Cleo employee thoroughly!

Location: Bucharest Workplace: OnSite LIFE AT UIPATH The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power. To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care—about each other, about UiPath, and about our larger purpose. Could that be you? YOUR MISSION UiPath’s Platform Engineering team builds the internal infrastructure and tooling that keeps engineering across UiPath fast, reliable, and consistent. That includes a hybrid cloud compute fleet - powering pipeline runs and other internal workloads on our own datacenter using virtualization technologies - alongside centralized initiatives like Automated product Sign-Off, performance testing, and the standardization of software development practices through tooling the team builds in-house. The team also builds the platform for AI coding agents at UiPath. It gives engineers governed access to AI agents, runs those agents in isolated environments, and gives them on-demand test environments. You’ll help build the software and tooling that make these systems self-managing and easy to consume, so engineering teams across UiPath can ship faster and with more confidence.   WHAT YOU'LL DO AT UIPATH - Develop tooling that empowers engineering teams to consume datacenter compute as easily as a managed cloud service. - Build services that provision, configure, and lifecycle-manage virtual machines on bare metal using virtualization technologies. - Build the platform for AI coding agents at UiPath: one-command setup, governed access and spend, isolated agent VMs in our datacenter, and on-demand ephemeral test environments. - Provide the compute backbone for pipeline runs, end-to-end and automated testing at scale. - Expose our datacenter capacity as a single elastic fabric that internal workloads can schedule against on demand. - Automate the full host lifecycle as code; bring-up, hypervisor configuration, networking, storage, and decommissioning. - Improve the reliability, observability, and performance of the virtualization layer, and harden it for security and scale. - Contribute to centralized initiatives such as Automated Sign-Off and performance testing, helping teams validate and ship releases with confidence. - Build and maintain tooling that standardizes software development practices across engineering teams. WHAT YOU'LL BRING TO THE TEAM - 5+ years in a software engineering role using one or more mainstream languages (.NET / C# preferred; Java, Go, Python). - Strong grasp of OOP, design patterns, concurrency, and data structures and algorithms. - Hands-on experience with cloud technologies (Azure preferred; AWS or GCP). - Experience with virtualization — QEMU/KVM, libvirt, VMware, Hyper-V, or Xen equivalents. - Well-versed with the full SDLC and able to produce well-tested, high-quality code. - Linux experience - comfortable operating and scripting on Linux. NICE TO HAVE - Experience running bare-metal fleets or datacenter infrastructure at scale. - CI/CD and test infrastructure (Azure DevOps, GitHub Actions) and how large test suites run at scale. - Familiarity with libvirt, cloud-init, PXE / network booting, and VM image pipelines; networking (VLANs, overlays, SDN). - Infrastructure-as-code (Terraform, Ansible), Kubernetes, and distributed storage (Ceph, ZFS). Maybe you don’t tick all the boxes above—but still think you’d be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes—and passion can’t be learned. Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office-based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected. We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy https://www.uipath.com/legal/trust-and-security/privacy-policy.

Location: Toronto; Calgary; Boston; Canada; Seattle; New York; Vancouver; California; Ottawa; Montreal Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! WHY THIS ROLE Enterprises hand Cohere their most sensitive data and put our models inside workflows they can't afford to get wrong. Securing that means working on problems the industry hasn't settled yet, what authorization means when an agent acts on a user's behalf, how to contain tools that consume untrusted input, and whether tenant boundaries hold when a model can be steered by the data it reads. The established playbooks only take you so far. We're hiring a Senior Product Security Engineer to work these problems alongside the engineers building the products, reviewing architecture and code, threat modeling before implementation, testing what ships, and turning what you learn into defaults other teams inherit. This is a hands-on engineering role, not an advisory one. WHAT YOU’LL DO - Lead security reviews. Review architecture, code, and security-sensitive changes. Identify both individual vulnerabilities and the recurring design patterns behind them. - Secure AI-powered products. Evaluate risks such as prompt injection, unsafe tool use, identity and delegation failures, excessive agency, data exposure, tenant isolation, and sandbox escapes. - Threat model new capabilities. Identify trust boundaries, abuse cases, and high-impact failure modes before implementation. Translate findings into practical, prioritized mitigations. - Perform hands-on testing. Investigate suspected vulnerabilities, develop proofs of concept, assess exploitability and impact, and partner with engineers through remediation. - Build scalable guardrails. Develop secure defaults, approved patterns, reusable controls, review requirements, and automated checks that reduce recurring risks. - Strengthen engineering capability. Pair with engineers, document practical guidance, and help product teams develop durable security expertise. - Influence risk decisions. Explain technical findings, business impact, and remediation options clearly to engineers, product leaders, and executives. YOU MAY BE A GOOD FIT IF - You have strong software engineering fundamentals and can independently understand, test, and contribute fixes to production codebases. - You are proficient in at least one of Python, Go, or TypeScript. - You have led security reviews or threat models for complex production systems and can point to meaningful design or risk improvements that resulted. - You understand common vulnerability classes and their underlying design failures, including injection, authorization flaws, IDOR, SSRF, unsafe deserialization, race conditions, cryptographic misuse, and software supply-chain risks. - You understand modern application architecture, including web applications, APIs, OAuth/OIDC, cloud platforms, containers, Kubernetes, and CI/CD systems. - You can reason rigorously about untrusted input, authorization, isolation, identity, delegation, and data boundaries. Direct experience with agentic AI systems is valuable but not required. - You have driven security improvements involving multiple engineering teams, including situations where influence mattered more than authority. - You communicate clearly with both technical and non-technical audiences. NICE TO HAVE - Experience building or operating security tooling such as SAST, DAST, SCA, custom linters, or policy-as-code. - Experience securing multi-tenant SaaS, enterprise software, or systems that process sensitive customer data. - Offensive security experience through penetration testing, red teaming or security research. - Experience operating or participating in a vulnerability disclosure or bug bounty program. - Contributions to open-source security projects, published research, conference talks, or credited vulnerability discoveries. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Обязанности: — RedTeam/Пентест сетевого периметра, доменной и платежной инфраструктуры (blackbox, greybox, whitebox) — Анализ защищённости беспроводных сетей — Оптимизация и повышение уровня информационной инфраструктурной и сетевой безопасности — Мониторинг рынка актуальных угроз информационной безопасности — Участие в R&D проектах Требования: — Опыт работы от 2х лет в качестве пентестера инфраструктуры — Отличное знание как минимум одного языка программирования (go, java, python, php) и умение читать и анализировать исходный код на распространенных языках программирования — Уверенное владение методикой проведения инфраструктурных пентестов — Отличное знание сетевых протоколов (TCP/IP), атак на них и обход механизмов защиты — Навыки тестирования на проникновение и поиска уязвимостей с предоставлением отчетов — Уверенное владение специализированным ПО и фреймворками для проведения различных видов тестирований (Burp Suite, Metasploit, PowerSploit, BloodHound, Cobalt-Strike, Impacket) — Опыт администрирования *nix и Windows-систем, web-серверов — Знание технологий виртуализации (ESXi, Hyper-V) и контейнеризации (Docker, Kubernetes), а также атак на них — Английский язык – не ниже уровня intermediate (Чтение технической литературы) Будет плюсом: — Сертификация в области практической безопасности (OSCP/OSCE/OSEP/GWAPT/GPEN и т.д.) — Участие в CTF (task-based или attack-defense) и прохождение спец. лабораторий (standoff365, hackthebox, pentester academy) — Опыт проведения комплексного анализ защищенности платежных инфраструктур и ДБО — Участие в Red Team Условия: — Зарплатные условия обсуждаются по итогам собеседования — Режим работы офис\Гибрид\удаленка обсуждаются по итогам интервью — Есть 2 коворкинга на Алтае и Сочи доступные для работы 1 раз в год — Погружение в ИИ-культуру – взаимодействуем с искусственным интеллектом на постоянной основе и обучаем этому новичков, предоставляем бесплатных ИИ-помощников — Стандартные + большой компании: ДМС, обучения, возможность участия в различных общих активностях от D&D до марафона

Location: Remote - United States 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 . Team Description The Brand Ad Formats team drives the development of ad formats that help advertisers maximize reach and brand impact. They focus on high-visibility, awareness-driven solutions that create memorable experiences for Reddit users. By delivering guaranteed placements and engaging ad interactions, they support major brand initiatives and help advertisers achieve measurable outcomes.  The team is building fully customizable interactive formats and AI-driven ads that incorporate User-Generated Content (UGC).  Moving forward, we will be doubling down on Video Ads, with the goal of turning Reddit into an industry leader and a ‘must buy’ for advertisers to promote video content. Role Description The Brand Ad Formats team is seeking a skilled Frontend engineer with a product-focused mindset to join the team. Responsibilities: Build Ad experiences and create patterns for Reddit’s web app that enhance our ads’ performance and functionality. Collaborate across product, design, and engineering teams to innovate and implement sophisticated solutions for complex challenges. Engage in the full development cycle: design, develop, QA, experiment, analyze, and deploy. Required Qualifications: 3+ years of experience in Web Engineering Proficient in Typescript and Javascript A willingness to tackle the challenges of creating data-intensive, highly responsive, and fault-tolerant apps Experience with automated testing best practices, code quality / design patterns, observability, etc. Skilled at performing insightful code reviews, and receiving feedback themself Experience leveraging GenAI tools to increase software engineering productivity Excellent communication skills: able to collaborate with teams in a fully remote environment, and discuss complex topics with technical and non-technical audiences Preferred Qualifications: Experience working on ad tech Experience working on consumer facing sites (high production value at scale) Technologies used on the team include: Languages: Typescript, HTML, CSS, Go Frameworks: React, Thrift, gRPC Tools: Kubernetes, Docker, Codex, Cursor Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $164,200 — $229,900 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

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. The Team: The IAM Team is a net-new, vanguard group that will own, implement, and drive DRW’s comprehensive identity capabilities, aligning them to evolving business requirements. This dedicated group collaborates with stakeholders to advance agentic identity, enhanced authentication and authorization controls, and other emerging identity and security innovations, with potential expansion into customer identity and access management (CIAM). The Role: We are seeking an experienced Identity Engineer to own the delivery, operation, and continuous improvement of our enterprise authentication and authorization services. The IAM team is responsible for the security, compliance, availability, and user experience of these services; you'll execute implementations, participate in and influence design decisions, and ensure integrations across on ‑ prem and cloud environments meet SLAs and control requirements. The role focuses on SSO, federation, MFA, and secure access management. Key Responsibilities: Own, implement, and operate end-to-end enterprise authentication and federation solutions; drive architecture reviews and collaborate to influence design decisions , ensuring security, compliance, availability, and performance. Implement, configure, and support SAML 2.0, OAuth 2.0, OpenID Connect (OIDC), LDAP, and JWT ‑ based integrations. Integrate identity solutions with enterprise, third ‑ party applications, APIs, SaaS platforms, and custom web/mobile apps, including SSO, provisioning (SCIM/API), and secure API authentication. Implement MFA, adaptive authentication, fine ‑ grained access policies, and authorization models that meet security standards. Support identity lifecycle and directory integrations with IAM and directory services (e.g., Entra ID/Azure AD, Active Directory, ADFS) and provisioning systems. Troubleshoot authentication/authorization flows; perform root ‑ cause analysis, incident response, and performance tuning. Ensure compliance with security, audit, and regulatory requirements and support related assessments. Collaborate closely with security, infrastructure, application, and DevOps teams to deliver and operate identity services. Create and maintain runbooks, SOPs, operational procedures, and technical documentation. Required Qualifications: Strong written and verbal communication, stakeholder management, and cross ‑ team collaboration skills. 5+ years of experience in Identity & Access Management (IAM), or equivalent hands-on experience. Strong hands-on experience implementing and operating commercial identity platforms and enterprise identity services (Ping AIC and PingFederate preferred, or the ability to implement required features in Ping). Deep knowledge of SSO, federation, and authentication/authorization protocols (SAML 2.0, OAuth 2.0, OpenID Connect, JWT). Experience integrating with directory and lifecycle systems (Active Directory/LDAP, Azure AD/Entra ID, ADFS) and provisioning (SCIM/API). Practical experience with MFA, adaptive authentication, fine-grained authorization, and access policy enforcement. Strong troubleshooting skills across authentication flows, certificates, TLS, networking, and related infrastructure. Scripting/automation skills (Shell, Python, Go, PowerShell) and familiarity with IaC/CI-CD tools (Terraform, Ansible, or similar). Comfortable working in Linux environments and producing operational runbooks and technical documentation. Bonus Points: Experience in banking or financial services (regulated enterprise environments). Hands ‑ on cloud experience (AWS, Azure/Entra, or GCP) and container platforms (Docker, Kubernetes). Experience with API security, OAuth/OIDC for APIs, and zero ‑ trust architectures/use cases. Practical experience with CIAM or customer identity projects. Ping Identity certifications or other security/identity certifications. Observability and monitoring experience for identity services (Prometheus, ELK, Splunk, etc.) The annual base salary range for this position is $150,000 to $200,000 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-LD1]

Задачи: — Владение инфраструктурой: облако, сторонние поставщики и все, что с этим связано — Создание инструментов для повышения продуктивности разработчиков, обеспечивающих AI-first подход для всех инженерных команд — Владение SRE и поддержкой производства, внедрение дисциплины производства в период быстрого роста и масштабирования — Формирование команды: рост с 2 до 5-6 человек в течение трех месяцев — Активное участие в работе команды, выполнение задач самостоятельно, а не только управление — Постепенное развитие каждой функции в отдельную команду: инфраструктура, продуктивность разработчиков, SRE/поддержка производства Требования: — Минимум 2 года опыта в роли линейного менеджера с непосредственным управлением командами из 6-10 человек или готовность к такому росту — Практический опыт работы с AWS или GCP и сильные навыки устранения неполадок в базах данных — Опыт работы с масштабами порядка миллиона запросов в минуту — Умение устранять неполадки в базах данных, сетях, вычислениях, Docker, Kubernetes и других аспектах инфраструктуры — Забота о продуктивности разработчиков и AI-инструментах наравне с инфраструктурой — Знание практик on-call, SLA, SLO и SRE — Желание оставаться hands-on и развиваться в полноценного менеджера со временем Желательно: — Наличие собственной сети для найма или комфортная работа с рекрутерами — Опыт создания инструментов продуктивности разработчиков и AI-харнесов для инженерных команд — Опыт построения команды с нуля — Опыт работы в стартапах, особенно в период гиперроста Условия: — Зарплата $225,000–$275,000 в год — Локация: Сан-Франциско, офис, требуется проживание или готовность к переезду — График: понедельник–пятница, полный рабочий день в офисе — Бенефиты: транспортные льготы Uber, питание (завтрак, обед, ужин), закуски, напитки, кофе, бесплатный абонемент в спортзал, медицинская, стоматологическая и офтальмологическая страховка Процесс найма: — Скрининг с менеджером по найму (30 минут видео) — Технический скрининг (60 минут удаленно): глубокое обсуждение проекта и системный дизайн — Super Day на месте: встреча с командой, участие в операциях, выполнение реальной работы вместе с командой