Вакансии

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. About the Team DRW C/Options Front Office Systems team intimately collaborates with traders to turn alpha signals, risk management, market visualizations and other trading-critical tools into scalable, performant and reliable production systems. We embed deeply with our customers to solve high-impact, complex problems. We move quickly when we prototype, and we tread lightly when we ship to production. We operate at the intersection of ensuring customer success and creating quality products that stand the test of time. We work closely with Data Engineering, Research Engineering, and Execution Engineering. About the Role Software Engineers in Front Office Systems operate in two very distinct but organically interconnected modes. During a Forward Deployment, you will be directly embedded onto a trading desk, where you will be tasked to navigate business context, ambiguity in requirements, trade-offs, and urgency to deliver. You will promote a mutually beneficial relationship with the trading desks by building them specialized solutions to solve their greatest problems, while at the same time building up domain specific knowledge. After returning from a Forward Deployment, you will leverage the knowledge you gained from the process, extract reusable patterns, and make the tools available for all trading desks. In this role you will: Work with best-in-class trading tools for a collection of Cumberland and FICC options trading desks Take full ownership of the products you create, from prototype to stable production Embed with trading desks, learn about their problem spaces, extract domain models, and build ergonomic, performant and extendable engineering solutions Build, maintain and extend the central trading platform Work with both greenfield and legacy systems across multiple languages (C++, Python, Typescript) Provide on-call support as needed Qualifications: Up to 7 years of experience using C++ and Python and can work comfortably in multiple programming languages A track record of working directly with end customers, scoping and delivering production systems in fast-moving and ambiguous environments Ability to dive deep into complex problems, develop intuitive understandings, spot risks early, and minimize complexity Exceptional interpersonal skills - you communicate clearly with stakeholders as well as other engineers, fostering a collaborative, supportive working environment. Experience in the financial markets, especially in delta one store of value and/or FICC options trading Experience with linux-based, concurrent, high-throughput, low-latency software systems Experience with functional programming is a plus Have a Bachelors or advanced degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or equivalent work experience 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-BL1

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. About the Team DRW C/Options Front Office Systems team intimately collaborates with traders to turn alpha signals, risk management, market visualizations and other trading-critical tools into scalable, performant and reliable production systems. We embed deeply with our customers to solve high-impact, complex problems. We move quickly when we prototype, and we tread lightly when we ship to production. We operate at the intersection of ensuring customer success and creating quality products that stand the test of time. We work closely with Data Engineering, Research Engineering, and Execution Engineering. About the Role Software Engineers in Front Office Systems operate in two very distinct but organically interconnected modes. During a Forward Deployment, you will be directly embedded onto a trading desk, where you will be tasked to navigate business context, ambiguity in requirements, trade-offs, and urgency to deliver. You will promote a mutually beneficial relationship with the trading desks by building them specialized solutions to solve their greatest problems, while at the same time building up domain specific knowledge. After returning from a Forward Deployment, you will leverage the knowledge you gained from the process, extract reusable patterns, and make the tools available for all trading desks. In this role you will: Work with best-in-class trading tools for a collection of Cumberland and FICC options trading desks Take full ownership of the products you create, from prototype to stable production Embed with trading desks, learn about their problem spaces, extract domain models, and build ergonomic, performant and extendable engineering solutions Build, maintain and extend the central trading platform Work with both greenfield and legacy systems across multiple languages (C++, Python, Typescript) Provide on-call support as needed Qualifications: Up to 7 years of experience using C++ and Python and can work comfortably in multiple programming languages A track record of working directly with end customers, scoping and delivering production systems in fast-moving and ambiguous environments Ability to dive deep into complex problems, develop intuitive understandings, spot risks early, and minimize complexity Exceptional interpersonal skills - you communicate clearly with stakeholders as well as other engineers, fostering a collaborative, supportive working environment. Experience in the financial markets, especially in delta one store of value and/or FICC options trading Experience with linux-based, concurrent, high-throughput, low-latency software systems Experience with functional programming is a plus Have a Bachelors or advanced degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or equivalent work experience The annual base salary range for this position is $175,000 to $225,000 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-BL1

Проект: Крупный международный криптобанкинг О РОЛИ Мы ищем аналитика, способного проектировать отказоустойчивые финансовые сценарии и выступать связующим звеном между бизнесом и разработкой. Ваша задача — не просто визуализировать процессы, а находить логические дыры в архитектуре и гарантировать синхронизацию всех компонентов системы. ОСНОВНЫЕ ЗАДАЧИ — Проектирование end-to-end сценариев: P2C, QR-оплата, свопы и обработка сбоев. — Разработка и фиксация API-контрактов (Swagger/OpenAPI) до начала написания кода. — Технический анализ документации внешних платежных сервисов (PSP, Banking APIs). — Математическое описание продукта: алгоритмы комиссий, конвертации и сверки данных (Reconciliation). — Трансформация бизнес-требований в User Stories и Use Cases с четкими критериями приемки. — Сопровождение QA, бизнес-тестирование и поддержка актуальности технической документации. ТРЕБОВАНИЯ К КАНДИДАТУ — 3+ года опыта в роли системного или бизнес-аналитика в Fintech/Banking/Crypto. — Глубокое понимание транзакционных принципов: ACID, race condition, распределенные транзакции. — Уверенное владение SQL и нотациями UML (Sequence, Activity, State Machine) и BPMN. — Опыт проектирования RESTful API и тестирования запросов в Postman. — Навыки прототипирования интерфейсов и базовое понимание законов UX/UI. — Способность вдумчиво анализировать сложную техническую документацию интеграторов. БУДЕТ ПРЕИМУЩЕСТВОМ — Понимание принципов работы блокчейна (кастодиальные и некастодиальные решения). — Опыт работы с Event-driven архитектурой и брокерами сообщений (Kafka/RabbitMQ). — Знание стандартов безопасности (PCI DSS, GDPR) и английский язык на уровне B2. УСЛОВИЯ РАБОТЫ — Участие в создании инновационного высоконагруженного Web3-продукта. — Гибкий график работы с фокусом на результат, а не на процесс. — Минимум бюрократии и возможность влиять на архитектурные решения. — Конкурентная заработная плата и сильная инженерная команда.

Location: Poland; Romania; Argentina; South Africa; Mexico; Colombia About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe & Australia. Unlike an outsourcing agency, we place you directly with a client where you're hired in-house to work as a valued member of their team. Please note that by applying & completing our interview process, you will be added to our community. This means you’ll be considered for this and all other possible roles that may match your skills. These potential opportunities will be sent your way as an exclusive Huzzle candidate. Job Type: Full-time Location: Remote (Working US Hours) Start Date : Immediate About the Company Our client is an innovative AI-driven company focused on building and deploying “AI employees” that automate business workflows and enhance operational efficiency. They specialize in integrating cutting-edge automation tools and large language models (LLMs) to streamline client operations across multiple industries. Job Summary We’re hiring a Remote Operations / Technical Project Manager (AI Systems) to oversee client operations, manage AI-driven workflows, and ensure seamless deployment of automation systems. This role blends project management, client success, and light technical execution , making it ideal for candidates with experience in AI tools, automation platforms, or software systems . You’ll act as the bridge between clients and the technical team—ensuring AI systems are properly implemented, optimized, and continuously improved. Key Responsibilities Set up and manage AI-powered workflows and automations using tools like Go High Level, n8n, Zapier , or similar platforms Make iterative improvements to existing automation systems and processes Design and refine prompts using LLM tools such as OpenAI (ChatGPT) and Claude Lead client onboarding, gather requirements, and translate them into actionable workflows Manage client communication, feedback loops, and ongoing support Troubleshoot issues, prioritize fixes, and ensure timely resolution Collaborate closely with AI Engineers to implement more advanced solutions Track project timelines, deliverables, and performance metrics Requirements Proven experience in operations, project management, or AI/automation systems Hands-on experience with tools like Go High Level, n8n, Zapier , or equivalent automation platforms Familiarity with LLMs (e.g., OpenAI, Claude) and prompt engineering basics Strong organizational and project management skills Excellent English communication skills (written and verbal) Experience in client-facing roles with the ability to manage expectations effectively Ability to work remotely with time zone overlap as required Bonus: Background in SaaS, AI startups, or technical operations Benefits 💰 Competitive monthly compensation: $1500 – $2400 USD/month (based on experience and qualifications) 🌎 Fully remote role aligned to U.S. Eastern Time (EST) hours 🚀 Lead key technology initiatives with a cloud-first IT consulting firm 📈 Long-term engagement with ongoing projects and room for growth 🤝 Work alongside experienced teams in cybersecurity, cloud, and managed IT

Location: Poland; Ukraine; Romania; Argentina; Portugal; Colombia About Huzzle At Huzzle, we connect exceptional talents with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms across industries such as SaaS, MarTech, FinTech, and EdTech. Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team. This means you work closely with internal teams, contribute to meaningful projects, and have real opportunities for career growth. Role Type: Full-time Engagement: Independent Contractor About the Company Our client is an AI-first GTM (Go-To-Market) systems company founded by experienced revenue leaders. They build end-to-end automated revenue engines that transform market signals into qualified pipeline using AI agents, workflow automation, and scalable data infrastructure. Their stack combines tools like workflow automation platforms, enrichment systems, CRM integrations, and custom AI agent orchestration layers—serving high-growth companies scaling from $1M to $100M+ ARR. Job Summary We’re hiring a Head of Engineering, GTM Systems to lead the transition from no-code automation to Claude Code-powered AI agent architecture . This role is for a hands-on builder who has deep experience in Clay-based GTM systems and is now building scalable, production-grade systems using Claude Code and modern programming languages . You will own the infrastructure that powers revenue generation—designing intelligent systems that scale across clients and evolve with real-time signals. Key Responsibilities AI Agent Architecture & Engineering Design and build AI-powered GTM systems—from signal detection and enrichment to campaign orchestration and response handling Develop scalable backend systems using Python, JavaScript, or TypeScript Architect integrations across CRMs, APIs, data sources, and outreach platforms Build reusable agent frameworks, templates, and SDK-like components for rapid deployment Team Leadership & Engineering Culture Lead and scale a distributed team of engineers (including offshore talent) Establish best practices for version control, testing, documentation, and deployment Mentor automation-focused engineers into AI-agent and software engineering roles Own hiring, onboarding, and performance management Platform Development & Innovation Drive the shift from no-code workflows to code-first AI systems Evaluate emerging AI tools, LLM capabilities, and automation frameworks Contribute to internal AI tooling and reusable automation libraries Prototype and validate new automation opportunities quickly Systems Reliability & Performance Ensure system reliability through monitoring, logging, and error handling Optimize infrastructure for cost, performance, and scalability Build observability systems to proactively detect and resolve issues Requirements Must-Have Experience Proven experience building GTM automation systems in production (e.g., enrichment workflows, API integrations, CRM automation) Strong understanding of data pipelines, webhooks, and multi-step automation logic Hands-on coding experience in Python, JavaScript, or TypeScript Experience working with AI/LLM-powered systems (prompt design, chaining, context handling) Deep understanding of outbound sales workflows and revenue operations Experience leading or mentoring engineers or technical teams Preferred Qualifications Production-level engineering experience with scalable systems Background in agencies, consultancies, or multi-client environments Familiarity with DevOps practices (CI/CD, monitoring, cloud infrastructure) Active participation in automation, AI, or GTM engineering communities Benefits 💻 Fully Remote: Work from anywhere with international teams 🚀 Career Growth: Join companies in SaaS, MarTech, and B2B services 🤝 Peer Community: Connect with high-performing sales professionals in our network 🧭 Ongoing Support: Receive guidance from Huzzle before and after placement 💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals

Location: Argentina; Canada; United Kingdom; Poland; Estonia; Romania About Huzzle At Huzzle, we connect exceptional talents with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms across industries such as SaaS, MarTech, FinTech, and EdTech. Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team. This means you work closely with internal teams, contribute to meaningful projects, and have real opportunities for career growth. Role Type: Full-time Engagement: Independent Contractor About the Company Our client is an AI-first GTM (Go-To-Market) systems company founded by experienced revenue leaders. They build end-to-end automated revenue engines that transform market signals into qualified pipeline using AI agents, workflow automation, and scalable data infrastructure. Their stack combines tools like workflow automation platforms, enrichment systems, CRM integrations, and custom AI agent orchestration layers—serving high-growth companies scaling from $1M to $100M+ ARR. Job Summary We are hiring a Head of Engineering, GTM Systems to lead the transition from no-code automation to AI-agent-driven, code-first infrastructure . This role is ideal for a builder who started in automation (e.g., workflow tools, enrichment pipelines, API integrations) and is now evolving into full-scale engineering—designing scalable systems, writing production code, and leading technical teams. You will own the architecture powering revenue operations, build intelligent agent systems, and lead a team of engineers delivering high-impact GTM infrastructure across multiple client environments. Key Responsibilities AI Agent Architecture & Engineering Design and build AI-powered GTM systems—from signal detection and enrichment to campaign orchestration and response handling Develop scalable backend systems using Python, JavaScript, or TypeScript Architect integrations across CRMs, APIs, data sources, and outreach platforms Build reusable agent frameworks, templates, and SDK-like components for rapid deployment Team Leadership & Engineering Culture Lead and scale a distributed team of engineers (including offshore talent) Establish best practices for version control, testing, documentation, and deployment Mentor automation-focused engineers into AI-agent and software engineering roles Own hiring, onboarding, and performance management Platform Development & Innovation Drive the shift from no-code workflows to code-first AI systems Evaluate emerging AI tools, LLM capabilities, and automation frameworks Contribute to internal AI tooling and reusable automation libraries Prototype and validate new automation opportunities quickly Systems Reliability & Performance Ensure system reliability through monitoring, logging, and error handling Optimize infrastructure for cost, performance, and scalability Build observability systems to proactively detect and resolve issues Requirements Must-Have Experience Proven experience building GTM automation systems in production (e.g., enrichment workflows, API integrations, CRM automation) Strong understanding of data pipelines, webhooks, and multi-step automation logic Hands-on coding experience in Python, JavaScript, or TypeScript Experience working with AI/LLM-powered systems (prompt design, chaining, context handling) Deep understanding of outbound sales workflows and revenue operations Experience leading or mentoring engineers or technical teams Preferred Qualifications Production-level engineering experience with scalable systems Background in agencies, consultancies, or multi-client environments Familiarity with DevOps practices (CI/CD, monitoring, cloud infrastructure) Active participation in automation, AI, or GTM engineering communities Benefits 💻 Fully Remote: Work from anywhere with international teams 🚀 Career Growth: Join companies in SaaS, MarTech, and B2B services 🤝 Peer Community: Connect with high-performing sales professionals in our network 🧭 Ongoing Support: Receive guidance from Huzzle before and after placement 💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals

Location: Dhahran, Saudi Arabia; Delhi, India; Pune, India; Chennai, India Eram Talent is seeking a skilled Control System Engineer with project management and control system upgrade experience to join our team. Eram Talent is a reputable talent acquisition company specializing in connecting skilled professionals with top opportunities in various industries including oil and gas, energy, infrastructure, and technology. As a Control System Engineer, you will be responsible for overseeing control system design, upgrades, and commissioning activities. Your expertise will ensure the successful execution of control system projects and the continuous improvement of existing control infrastructures. Responsibilities Design, develop, and implement control system solutions for new projects and system upgrades Manage and coordinate control system upgrade projects from planning to commissioning Perform risk assessments and ensure compliance with safety and industry standards Collaborate with multidisciplinary teams to define system requirements and specifications Conduct testing, troubleshooting, and validation of control systems Prepare detailed technical documentation and reports Provide technical support during installation, commissioning, and handover phases Requirements Bachelor's degree in Electrical Engineering, Control Engineering, or related field Minimum of 15 years' experience in control system engineering within industrial environments Proven experience in managing control system upgrade project Candidate with Saudi Aramco projects experience such as DCS/ESD Upgrades and Large Motor replacement is highly preferred. Ability to lead and Manage Pre-commissioning of Control system Ability to review and improve Scope of work of Control System Project with deep understanding of Control system requirements. Has enough experience to optimize scope of work and drive for cost reduction Fully Familiar of site instrumentation and requirements for installation and connection to control systems Expert in site execution and experience on leading site team and contractors Experience on Project Management knowledge areas Fully Familiar with MS-Office (Excel, Word, Power point and Access) in addition to planning and communication skills Willingness to work at project sites as required

Location: Jeddah, Saudi Arabia; Riyadh, Saudi Arabia; Lusail, Qatar; Dubai, United Arab Emirates; Hyderabad, India; Lahore, Pakistan Eram Talent is seeking a Systems & Digital Operations Specialist to join our team in Saudi Arabia. The Systems & Digital Operations Specialist is responsible for the effective day-to-day administration, reliability, and continuity of TKS digital systems, user devices, and classroom technology that support teaching, learning, admissions, communications, and school operations. The role also provides operational support to the Operations team, contributing to school-wide readiness, coordination, and delivery. This is a non-managerial, hands-on role focused on execution, support, and coordination in line with TKS policies and procedures. Key Responsibilities: Administer and support core school systems including PowerSchool , Toddle, and Google Workspace for Education. Manage user accounts, permissions, and access controls in line with school policies and data protection standards. Monitor system availability and ensure timely escalation of technical issues. Support setup, configuration, and maintenance of devices (iPads, laptops, and peripherals). Maintain device inventory, lifecycle management, and coordinate repairs or replacements with vendors. Provide support for classroom and shared-space AV systems (projectors, displays, conferencing tools). Assist teachers and staff with basic troubleshooting for lessons, meetings, and school events. Support academic year readiness including onboarding, class setup, and device allocation. Maintain documentation, track tickets, licenses, warranties, and vendor coordination. Provide operational and cross-functional support to Academic, Admissions, HR, and Operations teams. Requirements Bachelor’s degree in IT, Computer Science, or a related field (preferred). Proven experience in IT support, systems administration, or digital operations. Hands-on experience supporting user devices such as laptops and tablets. Familiarity with systems like PowerSchool , Toddle, or similar SIS/LMS platforms. Experience working with Google Workspace for Education or similar tools. Strong organizational and documentation skills. Ability to follow procedures and escalate issues appropriately. Experience supporting non-technical users, ideally in a school environment. Basic knowledge of AV/classroom technology systems. Understanding of data protection, confidentiality, and IT security practices.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Partner Sales Manager for Systems Integrators at Anthropic, you'll own a portfolio of global and regional SI partners and be responsible for the revenue they drive. This role sits at the intersection of partnerships and sales — you'll build trusted relationships with senior stakeholders at firms like Accenture, Deloitte, and PwC, and align on joint go-to-market plans. Your main stakeholders will be sales leaders at Anthropic - helping them to land and expand enterprise deals where partner involvement is the difference between winning and not. This is an early-stage motion, which means the playbook is still being written. You'll have real influence over how we engage SIs, what good looks like for partner-sourced pipeline, and how we equip integrators to build durable Claude practices inside their organizations. You'll report to the Head of Partner Sales and work closely with Sales, Solutions Architecture, Customer Success, and Product to make sure our partners have what they need to close — and to deliver transformative AI solutions for their clients. Responsibilities: Work directly with Sales Leaders, Account Executives and Solutions Architects, bringing the partner into the sales cycle at the right moments and ensuring clear roles, clean handoffs, and shared accountability for outcomes Build relationships across multiple levels of the partner organization — from practice leads and delivery teams to alliance executives — and serve as their primary point of contact at Anthropic Own the commercial relationship with a portfolio of assigned SI partners, driving partner-sourced and partner-influenced revenue against defined targets Develop and execute joint go-to-market plans with each partner, including target account mapping, pipeline generation activities, and co-sell motions with Anthropic's direct sales team Collaborate with enablement and program teams to get your partners trained, certified, and equipped with the materials they need to position Claude effectively Track pipeline health, forecast partner-attached revenue, and surface blockers early so cross-functional teams can help unblock them Gather signal from partner interactions — what's landing, what's missing, where clients are pushing back — and feed it into product and go-to-market planning Contribute to the development of partner sales processes, playbooks, and best practices as the function scales You may be a good fit if you have: 7+ years of experience in partner sales, channel sales, alliances,  business development or direct sales at a technology company where partners are heavily involved A demonstrated track record of driving revenue through partners — you can point to pipeline you built, deals you influenced, and relationships that outlasted any single transaction Strong commercial instincts, including comfort structuring co-sell agreements, navigating multi-party deal dynamics, and knowing when to push and when to let the partner lead Experience operating in early-stage or high-growth environments where processes are still forming and you're expected to help build them Excellent communication and relationship-building skills across all levels, from partner practitioners to alliance executives A collaborative working style — you're energized by cross-functional work and understand that partner sales only works when Sales, Product, and Delivery are aligned Comfort with ambiguity and a willingness to create structure where it doesn't yet exist Willingness to travel to support partner relationships and joint customer engagements A genuine interest in AI and a belief that advanced AI systems should be developed safely and responsibly Strong candidates may also have: Experience working at a major Systems Integrator or global consulting firm, giving you firsthand insight into how these organizations make decisions, staff engagements, and build practices around emerging technology A background in AI, cloud platforms, developer tools, or other categories where technical enablement and differentiation are central to the partner motion Familiarity with consumption-based or API-first business models and how they shape partner economics and incentive design Experience managing partner relationships across multiple geographies A history of being an early member of a partner sales function and helping it scale The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $300,000 — $365,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: In-Office 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, TX | New York, NY | San Francisco, CA or London, UK (Hybrid) About the role You'll design and build the core infrastructure that powers AI inference across Cloudflare's global network — real-time voice, frontier open LLMs, and customer-deployed models running on a heterogeneous fleet of GPUs and next-generation accelerators in hundreds of cities worldwide. Working alongside AI/ML engineers, hardware partners, and Cloudflare product teams, you'll solve hard problems in distributed systems and high-performance computing: sub-second model cold starts, multi-accelerator workload scheduling, efficient KV cache management, and a model deployment platform serving both Cloudflare and customers bringing their own models. We're building an AI inference platform embedded in the fabric of the internet — something that doesn't exist yet — and this role puts you at the center of it. We're looking for high-agency systems engineers who are energized by foundational infrastructure problems and want to define how AI runs at the edge of the network. Responsibilities Platform Architecture: Develop and maintain core components of the serverless inference platform to ensure high availability and scalability for Cloudflare users. Optimization & Performance: Optimize the model scheduling system to significantly increase efficiency and resource utilization across our inference infrastructure, and implement improvements to request routing logic to reduce latency for end-users. System Reliability: Drive significant, measurable improvements in the platform's reliability and resilience by identifying and mitigating systemic risks. Observability: Expand and refine the observability stack (metrics, logging, tracing) and fine-tune alerts to proactively identify and resolve production issues. Technical Leadership: Lead complex, cross-functional technical projects from initial concept and design through final deployment and operationalization. Mentorship: Act as a mentor to junior engineers and actively contribute to cultivating a strong, collaborative engineering culture within the team. Desirable skills, Knowledge & Experience Proven experience in systems engineering, with a primary focus on distributed, high-performance systems. Expert proficiency in Rust programming, particularly in an asynchronous environment. Deep understanding and hands-on experience with relevant networking and application protocols (e.g., TCP, HTTP, WebSocket). Solid experience with scaling and performance optimization techniques, including load balancing and caching in a distributed environment. Bonus Points Demonstrable experience with container orchestration platforms, specifically Kubernetes and/or Nomad . Familiarity with the unique architectural challenges involved in large-scale inference serving (e.g., LLMs and diffusion models). Compensation Compensation may be adjusted depending on work location. For Bay Area based hires: Estimated annual salary of $194,000 - $266,000 For New York City, New Jersey, Washington, Washington DC, and California (excluding Bay Area) based hires: Estimated annual salary of $185,000 - $254,000 Equity This role is eligible to participate in Cloudflare’s equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits Medical/Rx Insurance Dental Insurance Vision Insurance Flexible Spending Accounts Commuter Spending Accounts Fertility & Family Forming Benefits On-demand mental health support and Employee Assistance Program Global Travel Medical Insurance Financial Benefits Short and Long Term Disability Insurance Life & Accident Insurance 401(k) Retirement Savings Plan Employee Stock Participation Plan Time Off Flexible paid time off covering vacation and sick leave Leave programs, including parental, pregnancy health, medical, and bereavement leave 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.

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 New York, NY Washington, DC San Francisco, CA About the Role Cloudflare’s architecture is built on a homogeneous edge: every server in over 330 cities runs every service—from L4/L7 proxies (FL2, Pingora) and DNS to the Workers runtime, cache, and storage. While this design maximizes hardware utilization, it creates a difficult distributed attribution problem. Machine-level telemetry tells us how loaded a server is, but not which product, customer, or upstream service is responsible for that load. MAPS (Metrics and Analytics for Product Segmentation) is a newly formed team building the core instrumentation, collection, and data platform to solve this from the ground up. We are architecting a system to continuously measure CPU, network bandwidth, memory, and storage utilization across the entire global fleet without sampling—attributing resource consumption both to the underlying system service and to the specific product, account, and zone being served. The data MAPS produces serves two critical functions at Cloudflare: Real-Time Control Plane: MAPS is the primary telemetry input for Cloudflare’s next-generation global load balancer, shifting traffic management from open-loop heuristics to closed-loop routing driven by real-time, per-service resource capacity and consumption (within seconds). Fleet Economics & Capacity Planning: MAPS provides the long-term analytical dataset in ClickHouse used to map product demand forecasts to physical hardware requirements, calculate true cost-to-serve per product, and drive multi-year infrastructure investments. What You’ll Do You will work across the full lifecycle of a greenfield, high-throughput telemetry system running on every machine at the Cloudflare edge: Host-Level Instrumentation ("Outside View"): Build and maintain low-overhead Linux daemons (netacctd, maps_collector) in Rust and C that use eBPF (cgroup_skb) and cgroup v2 accounting to measure per-service resource consumption directly from the kernel. High-Performance Client Libraries ("Inside View"): Architect non-blocking, zero-allocation reporting SDKs in Rust and Go used by Cloudflare’s highest-throughput data-plane services to report per-request resource usage and product attribution over local Unix domain sockets. Edge Aggregation & Streaming: Build the per-machine collector daemon that ingests millions of events per second, performs bounded in-memory time-window aggregation, serves low-latency gRPC streams to the global load balancer, and flushes batch rollups to ClickHouse. Reconciliation & Correctness: Solve complex attribution problems—such as reconciling kernel-level cgroup measurements against application-reported metrics, and attributing resource usage when one multi-tenant service executes work on behalf of another. Cross-Team Architecture: Partner directly with the engineering teams behind Cloudflare’s core proxies, runtimes, and storage engines to instrument their critical paths without degrading tail latency. What We’re Looking For Strong systems programming experience in Rust, Go, or C, with a solid grasp of memory layout, concurrency, and performance-critical code paths. Experience designing and operating latency- and resource-sensitive server infrastructure or high-throughput data pipelines at scale. Strong fundamentals in Linux systems internals—processes, cgroups, sockets, and how the kernel accounts for compute, memory, and I/O. Proven ability to work across organizational boundaries: reading unfamiliar codebases, aligning with other infrastructure teams, and driving complex integrations to completion. A pragmatic approach to owning outcomes—from kernel-level data collection and wire protocols (protobuf/Cap'n Proto) all the way to the analytical tables consumers query. Bonus Points Hands-on experience writing and verifying eBPF programs, or deep familiarity with the Linux networking stack and scheduler. Experience designing schemas and query patterns for distributed columnar databases (particularly ClickHouse) at high ingestion rates. Background in profiling, benchmarking, and debugging performance bottlenecks in production Linux environments (perf, PMU counters, flamegraphs). 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.

Location: Zakarpattia Workplace: onsite Ajax Systems — міжнародна технологічна компанія і найбільший у Європі виробник охоронних систем. Продуктам Ajax довіряють уже понад 4,5 мільйони кінцевих користувачів і 330 тисяч PRO-користувачів у більш ніж 180 країнах. Компанія пропонує комплексні рішення для захисту житлових і комерційних об'єктів різного масштабу. Нині портфоліо Ajax налічує 280 пристроїв для захисту від вторгнення, відеоспостереження, пожежної безпеки та комфорту й автоматизації. Кожного року ми демонструємо кратне зростання як у чисельності команди, так і в кількості користувачів у всьому світі. Вимоги: Адміністрування операційних систем: Розуміння та досвід роботи з різними операційними системами, такими як  Windows Server, Linux, а також вміння налаштовувати, оновлювати та управляти ними. Знання мережевих протоколів і сервісів: Розуміння принципів мережевих протоколів, таких як TCP/IP, DNS, DHCP, HTTP, FTP  та досвід налаштування та підтримки мережевих сервісів. Моніторинг та діагностика: Здатність використовувати системи моніторингу та аналізу для виявлення аномалій та вирішення проблем в інфраструктурі. Обслуговування комп'ютерної техніки: Методи роботи та правила експлуатації, ремонту, налаштування, діагностики і обслуговування комп’ютерної та оргтехніки Безпека інформації: Знання принципів та методів захисту  інформації, включаючи антивірусні програми, фаєрволи,  системи аутентифікації та управління доступом. Обовʼязки: Відповідає за управління, підтримку і оптимізацію інформаційних та мережевих систем, комп'ютерної техніки та сервісів в організації. Надання технічної підтримки користувачам, включаючи вирішення їх запитів та проблем. Впровадження та оновлення нових технологій та рішень, які покращують продуктивність та ефективність інформаційних систем. Взаємодія з іншими відділами та командами для забезпечення найкращої практики в області ІТ та вирішення спільних завдань та проектів. Слідкування за роботою систем, виявлення та вирішення проблем, використання систем моніторингу для виявлення аномалій. Ми пропонуємо: можливість пропонувати та реалізовувати власні ідеї, які мають вплив на продукт і виробництво; роботу у вмотивованій команді та zero bullshit culture; конкурентну заробітну плату; медичне страхування; корпоративну англійську мову; компенсацію профільного навчання; можливість взяти участь у проєкті бета-тесту систем безпеки Ajax — отримання та тестування нових гаджетів до їх релізу. Ajax Systems — це українська історія успіху, місце неймовірної сили та енергії. Долучайтеся, щоб зробити Made in Ukraine синонімом надійності.

Location: Zakarpattia Workplace: onsite Ajax Systems — міжнародна технологічна компанія і найбільший у Європі виробник систем безпеки. Продуктам Ajax довіряють уже понад 4,5 мільйони кінцевих користувачів і 330 тисяч PRO-користувачів у більш ніж 180 країнах. Компанія пропонує комплексні рішення для захисту житлових і комерційних об'єктів різного масштабу. Нині портфоліо Ajax налічує 280 дротових і бездротових пристроїв для захисту від вторгнення, а також відеоспостереження, пожежної безпеки та комфорту й автоматизації. Наша компанія — українська історія успіху і місце неймовірної сили та енергії. Процес виробництва забезпечують п’ять департаментів: SMT-монтажу, монтажу, напівфабрикату, тестувань та готового продукту. А також експериментально-технологічний відділ та відділ контролю якості. На виробництві встановлено сучасні SMT та конвеєрні лінії, автоматизовано ключові процеси і постійно нарощуються потужності. Ми прагнемо до повної відповідності європейським стандартам, тому забезпечуємо вам достойні умови праці, можливості розвитку та фінансову стабільність. У зв’язку з активним розвитком компанії, ми шукаємо Senior Quality Systems Engineer на наше виробництво. Основні обовʼязки: -проведення внутрішніх аудитів, -підготовка локації до зовнішніх аудитів, -аналіз невідповідностей, ініціювання корегуючих і попереджувальних дій, -підтримка актуальності та контролю документації QMS -проведення тренінгів та підвищення обізнаності персоналу щодо вимог QMS, -консультації щодо процесів змін у документації -контроль за вимірювальним обладнанням і статусами повірки/калібрації обладнання| Бажані компетенції: Досвід роботи в сфері систем управління якістю — від 1 року; Досвід участі в аудитах або самостійного їх проведення — буде перевагою; Досвід роботи на виробництві електроніки — бажано Навички роботи з електронною документацією Англійська (від рівня B1) Вміння готувати звіти, аналітику, презентації; Що ми пропонуємо: Конкурентна заробітна плата; Офіційне працевлаштування; Relocation bonus; Можливість професійного розвитку; Робота в стабільній компанії; Корпоративна культура на основі здорового глузду; Дружній колектив. Якщо ти готовий приєднатися до нашої команди, надсилай нам своє резюме!

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives.   WHOOP is hiring a Software Engineer II to join the Business Systems team. In this role, you will design and implement the backend systems that power WHOOP’s internal operations, enabling scale and efficiency across the organization. You’ll architect and maintain critical services and integrations that support Finance, Operations, Member Services, and other business functions. By building reliable, secure, and performant systems, you’ll directly shape how WHOOP delivers value to its members and scales globally. RESPONSIBILITIES: - Design, implement, and maintain scalable backend services and APIs that power business-critical systems and integrations. - Contribute in design and implementation of scalable data pipelines, automation, and workflows that improve operational efficiency. - Collaborate with product managers, data engineers, and internal business teams to gather requirements and build effective technical solutions. - Contribute to the team’s codebase with high-quality, testable, and well-documented code. - Identify system bottlenecks and improve the performance, reliability, and maintainability of backend systems. - Contribute to long-term technical strategy for Business Systems and identify opportunities for automation and process improvement. - Participate in code reviews and mentor junior engineers to foster a culture of engineering excellence. QUALIFICATIONS: - BS in Computer Science, Engineering, or equivalent experience. - 2+ years of experience in backend software development with a strong foundation in computer science principles - Strong proficiency in at least one modern backend programming language (e.g., Java, Python, Go, or similar). - Experience building and maintaining APIs, integrations, and distributed systems. - Comfortable working with relational databases, data modeling, and query optimization. - Experience with cloud-based infrastructure (e.g., AWS, GCP, or Azure) and distributed systems. - Excellent communication skills and ability to work cross-functionally with technical and non-technical teams - Strong sense of ownership and ability to deliver quality solutions in a fast-paced environment - A growth mindset and eagerness to learn from feedback and new challenges. - Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions. Learn more about our Software Org and how to be successful in your engineering career at WHOOP via our Career Framework https://engineering.prod.whoop.com/careerframework.   This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.   Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.   WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility.  It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.   The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.   At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.   The U.S. base salary range for this full-time position is $125,000 - $175,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.    In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.   These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

О ПРОЕКТЕ Мы ищем практичного инженера для развития финансовых и бухгалтерских систем. Проект с современным стеком, без тяжелого легаси и с четким инженерным подходом. Нам важна способность быстро разобраться в текущих сервисах и взять на себя ответственность за качество кода и соблюдение сроков. ВАШИ КЛЮЧЕВЫЕ ЗАДАЧИ — Feature Development: Разработка и развитие функционала существующих финтех-сервисов. — System Support: Поддержка и доработка модулей бухгалтерских систем. — Database Ops: Работа с MS SQL Server и глубокая оптимизация запросов. — Collaboration: Тесное взаимодействие с кросс-функциональной командой и менеджерами проектов. — Quality Assurance: Участие в оценке задач и контроль качества через Test-Driven подходы. ЧТО МЫ ЖДЕМ ОТ ВАС — Опыт: От 3 лет коммерческой разработки на .NET. — Fintech Background: Опыт создания финансовых или бухгалтерских систем. — Frontend Skills: Желателен опыт работы с Blazor в продакшн-среде. — Infrastructure: Понимание микросервисной архитектуры, Kubernetes, CI/CD и облачных подходов. — Observability: Опыт работы с метриками (Prometheus, Grafana) и трейсингом. — Education: Высшее техническое, математическое или финансово-экономическое образование. ЧТО МЫ ПРЕДЛАГАЕМ — Конкурентная зарплата и понятные ожидания от работы. — Работа над стабильным продуктом с современным стеком технологий. — Прозрачные процессы без лишней бюрократии. — Гибкий формат работы после этапа адаптации.

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 . Who We Are: The Machine Learning Platform team at Reddit is a high-impact team that owns the infrastructure that powers recommendations, content discovery, user and content quantification, while directly impacting other teams such as Growth, Ads, Feeds, and Core Machine Learning teams. What You’ll Do: As a Staff ML Infrastructure Engineer, you will lead development of a platform for large scale ML models at Reddit. Design end-to-end model lifecycle patterns (MLOps) to boost velocity of development for ML engineers, including data preparation, model management, experiment tracking, and more Zero-to-one development and support of a graph ML codebase and platform that abstracts away common patterns and enables greater model scalability and iteration Collaborate with ML engineers on performance tuning, including improving model training time, efficiency, and GPU training costs in a large, distributed ML training environment Optimize batch data processing within a data warehouse and with tools such as Apache Beam, Apache Spark, Ray Data, and more Architect pipelines to build and maintain massive graph data structures on the order of billions of nodes and tens of billions of edges Who You Might Be: 8+ years of experience in ML infrastructure, including model training and model deployments Hands-on experience with ML optimization, including memory and GPU profiling Deep experience with cloud-based technologies for supporting an ML platform, including tools like GCP BigQuery, Google Cloud Storage, infrastructure-as-code (Terraform), and more Hands-on experience administering and integrating MLOps tools for experiment tracking, model serving, and model registries (e.g. MLflow or Wandb) Proficiency with the common programming languages and frameworks of ML, such as Python, PyTorch, Tensorflow, etc. Deep experience working with distributed training frameworks, including Ray and Kubernetes Strong focus on scalability, reliability, performance, and ease of use. You are an undying advocate for platform users and have a deep intuition for the machine learning development lifecycle. Strong organizational & communication skills Experience working with graph databases (Neo4j, JanusGraph, TigerGraph) is a big plus Experience working with graph neural networks (GNNs) and associated graph ML frameworks (PyTorch Geometric, Deep Graph Library) is a big plus 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: $230,000 — $322,000 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: 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 . Who We Are: The Machine Learning Platform team at Reddit is a high-impact team that owns the infrastructure that powers recommendations, content discovery, user and content quantification, while directly impacting other teams such as Growth, Ads, Feeds, and Core Machine Learning teams. What You’ll Do: As a Senior ML Infrastructure Engineer, you will lead development of a platform for large scale ML models at Reddit. Design end-to-end model lifecycle patterns (MLOps) to boost velocity of development for ML engineers, including data preparation, model management, experiment tracking, and more Zero-to-one development and support of a graph ML codebase and platform that abstracts away common patterns and enables greater model scalability and iteration Collaborate with ML engineers on performance tuning, including improving model training time, efficiency, and GPU training costs in a large, distributed ML training environment Optimize batch data processing within a data warehouse and with tools such as Apache Beam, Apache Spark, Ray Data, and more Architect pipelines to build and maintain massive graph data structures on the order of billions of nodes and tens of billions of edges Who You Might Be: 5+ years of experience in ML infrastructure, including model training and model deployments Hands-on experience with ML optimization, including memory and GPU profiling Deep experience with cloud-based technologies for supporting an ML platform, including tools like GCP BigQuery, Google Cloud Storage, infrastructure-as-code (Terraform), and more Hands-on experience administering and integrating MLOps tools for experiment tracking, model serving, and model registries (e.g. MLflow or Wandb) Proficiency with the common programming languages and frameworks of ML, such as Python, PyTorch, Tensorflow, etc. Deep experience working with distributed training frameworks, including Ray and Kubernetes Strong focus on scalability, reliability, performance, and ease of use. You are an undying advocate for platform users and have a deep intuition for the machine learning development lifecycle. Strong organizational & communication skills Experience working with graph databases (Neo4j, JanusGraph, TigerGraph) is a big plus Experience working with graph neural networks (GNNs) and associated graph ML frameworks (PyTorch Geometric, Deep Graph Library) is a big plus 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: $216,700 — $303,400 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: New York City 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. About the Team DRW C/Options Front Office Systems team intimately collaborates with traders to turn alpha signals, risk management, market visualizations and other trading-critical tools into scalable, performant and reliable production systems. We embed deeply with our customers to solve high-impact, complex problems. We move quickly when we prototype, and we tread lightly when we ship to production. We operate at the intersection of ensuring customer success and creating quality products that stand the test of time. We work closely with Data Engineering, Research Engineering, and Execution Engineering. About the Role Software Engineers in Front Office Systems operate in two very distinct but organically interconnected modes. During a Forward Deployment, you will be directly embedded onto a trading desk, where you will be tasked to navigate business context, ambiguity in requirements, trade-offs, and urgency to deliver. You will promote a mutually beneficial relationship with the trading desks by building them specialized solutions to solve their greatest problems, while at the same time building up domain specific knowledge. After returning from a Forward Deployment, you will leverage the knowledge you gained from the process, extract reusable patterns, and make the tools available for all trading desks. In this role you will: Work with best-in-class trading tools for a collection of Cumberland and FICC options trading desks Take full ownership of the products you create, from prototype to stable production Embed with trading desks, learn about their problem spaces, extract domain models, and build ergonomic, performant and extendable engineering solutions Build, maintain and extend the central trading platform Work with both greenfield and legacy systems across multiple languages (C++, Python, Typescript) Provide on-call support as needed Qualifications: Up to 7 years of experience using C++ and Python and can work comfortably in multiple programming languages A track record of working directly with end customers, scoping and delivering production systems in fast-moving and ambiguous environments Ability to dive deep into complex problems, develop intuitive understandings, spot risks early, and minimize complexity Exceptional interpersonal skills - you communicate clearly with stakeholders as well as other engineers, fostering a collaborative, supportive working environment. Experience in the financial markets, especially in delta one store of value and/or FICC options trading Experience with linux-based, concurrent, high-throughput, low-latency software systems Experience with functional programming is a plus Have a Bachelors or advanced degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or equivalent work experience The annual base salary range for this position is $175,000 to $225,000 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-BL1