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Location: San Francisco, CA | New York City, NY 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 We're looking for a Staff Software Engineer to set technical direction at the intersection of engineering and research on the Claude Code team. In this role, you'll partner directly with Anthropic's researchers and engineering leadership to shape how we measure, understand, and improve Claude's coding capabilities. You'll architect the systems, tooling, and evaluation infrastructure that determine how quickly our research can move—and you'll be accountable for the technical decisions that ripple across the team and beyond. This is a senior individual contributor role for someone who has already built and owned systems at significant scale, and who is ready to operate as a technical leader: driving architecture, mentoring engineers, and influencing the direction of Claude Code itself. Responsibilities Set technical direction for evaluation systems, research infrastructure, and internal tooling across the Claude Code team Architect eval frameworks that measure model capabilities across diverse coding tasks and scale with our research roadmap Lead the design of infrastructure that enables researchers to run experiments at scale, and make the foundational tradeoffs that shape how the team operates for years Identify the highest-leverage engineering investments—often before anyone has asked for them—and drive them to completion Serve as a senior technical bridge between product and research, using strong product intuition to influence which capabilities we prioritize and how we measure progress against them Mentor and raise the bar for other engineers on the team; review designs, unblock peers, and model the engineering standards we want to scale Partner with research leads to translate ambiguous research questions into durable engineering solutions Own critical systems end-to-end, from architecture through production reliability, and take responsibility for their long-term health You may be a good fit if you: Have 10+ years of software engineering experience, with a track record of operating as a Staff or Principal engineer (or equivalent) at a high-caliber organization Have architected and owned complex, high-stakes systems—pipelines, infrastructure, or platforms that orchestrate many components, handle significant state and logic, and serve multiple teams Have a history of setting technical direction that others follow—through design docs, architectural decisions, or technical strategy that shaped how a team or org operates Thrive in high-intensity environments with fast iteration cycles, and have the judgment to know when to move fast and when to invest in durability Take full ownership of ambiguous, open-ended problems and drive them to completion with minimal direction Are a power user of agentic coding tools with deep intuition about model capabilities and limitations Can dive into unfamiliar technical domains—ML systems, research workflows, novel infrastructure—and get to the frontier quickly Care deeply about correctness and reliability, and have raised engineering standards on teams you've been part of Are energized by working at the boundary between engineering and AI research, and by the prospect of influencing both Strong candidates may also have experience with: Designing or scaling eval/evaluation frameworks for ML systems Reinforcement learning infrastructure or training systems Leading technical initiatives in high-performance, demanding environments—trading firms, quant funds, frontier research labs, or fast-moving startups where intensity and technical excellence are the norm Research computing, scientific infrastructure, or developer platforms at scale A strong quantitative foundation (math, physics, or related fields) Expertise in Python and TypeScript 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: $405,000 — $485,000 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. 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: EMEA; Denmark; Portugal; France; United Kingdom; Spain; Germany; Italy; Sweden; The Netherlands Workplace: Remote About the team The Cloud Scaling team is dedicated to implementing robust capabilities within the ClickHouse cloud environment. We seek exceptional software engineers to develop and maintain the infrastructure to transform ClickHouse into a fully functional serverless database solution. Collaborating closely with the core database team, we are actively working on evolving ClickHouse into a cloud-native database system. Additionally, we engage with other cloud teams to drive continuous improvements in cloud infrastructure for enhanced performance and scalability. What will you do? - Build a cutting-edge cloud-native database platform on top of the public cloud. - Work on our in-house Kubernetes operator to support seamless infrastructure management. - Improve the metrics pipeline and build systems to generate better statistics and recommendations. - Work closely with our ClickHouse core development team and other data plane teams, partnering with them to support infrastructure use cases as well as other internal infrastructure improvements. - Architecting and building a robust, scalable, and highly available distributed infrastructure About you: - 5+ years of relevant software development industry experience building and operating scalable, fault-tolerant, distributed systems. - Production experience with programming languages like Go, C++ or Java - You are not a stranger to PagerDuty On-call, debugging things in production and are a strong problem-solver - Expertise with a public cloud provider (AWS, GCP, Azure) and their infrastructure as a service offering (e.g., EC2). - Experience with Data Storage, Ingestion, and Transformation (Spark, Kafka or similar tools). - You are passionate about solving data problems at Scale. - Experience working with distributed systems - You have excellent communication skills and the ability to work well within and across engineering teams. #LI-Remote   PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new team member who joins our company receives stock options. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: London, UK 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 Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry's largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators. Inference systems are highly performance sensitive distributed systems. Inference serves hundreds of thousands of customers every day, and the size & span of the inference fleet requires sophisticated routing, scaling, and networking systems. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms. Key responsibilities Design, build, and maintain the distributed systems that serve Claude to millions of users worldwide Develop resilient, flexible systems that adapt in real time to real-world events Develop intelligent request routing, load balancing, and traffic management systems across thousands of accelerators Maximize compute efficiency across the fleet by autoscaling and orchestrating production, research, and experimental workloads Build and operate production-grade deployment pipelines for releasing new models to users Provide high-performance inference infrastructure that enables researchers to develop next-generation models Integrate new AI accelerator platforms and support inference for new model architectures Minimum qualifications Proficiency in Python or Rust Software engineering experience building and operating distributed systems in production Working knowledge of containerized infrastructure (e.g., Kubernetes) and at least one major cloud platform (AWS, GCP, or Azure) Results-oriented, with a bias towards flexibility and impact Willingness to pick up slack, even if it goes outside your job description Desire to learn more about machine learning systems and infrastructure Thrive in environments where technical excellence directly drives both business results and research breakthroughs Care about the societal impacts of your work Preferred qualifications Significant experience with high-performance, large-scale distributed systems Experience implementing and deploying machine learning systems at scale Experience building load balancing, request routing, or traffic management systems Familiarity with LLM inference optimization, batching, and caching strategies Deep experience operating Kubernetes and cloud infrastructure at scale Experience with AI accelerator platforms (GPUs, TPUs, or emerging hardware) Representative projects Designing intelligent routing algorithms that optimize request distribution across many accelerators in different environments Autoscaling our compute fleet to dynamically match supply with demand across production, research, and experimental workloads Building production-grade deployment pipelines for releasing new models to millions of users reliably Contributing to new inference features Supporting inference for new model architectures Analyzing observability data to tune performance based on real-world production workloads Managing multi-region deployments and geographic routing for global customers Deadline to apply: None. Applications will be reviewed on a rolling basis. 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: £325,000 — £390,000 GBP 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. 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: Anywhere in France, Belgium, Spain HEALTH CAN’T WAIT. Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t. Alan exists to end the wait. Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way. So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience. We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR. Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond. 🤘 HOW WE DO IT ? People joining Alan are always surprised and delighted by our innovative working method. We have a set of cultural values https://alan.com/about/company-culture that guide our approach to work, such as: 🎯 What drives us - We're obsessed with helping members live healthier - Mission is the Boss: long-term thinking, mission above all else - Member & customer-led: obsessed with solving problems and delighting users 🏆 How we build excellence - We hire the best and empower them to succeed - Champions of excellence: extremely high standards and talent density - Distributed ownership: everyone owns their decisions and results - Radically transparent: all information accessible, written-first, async decisions 🤝 How we grow together - We improve through honest feedback and bold thinking - Optimistic alchemy: optimists who collaborate with genuine care - Empathetic challengers: direct, caring feedback to help each other grow - Bold contrarians: think differently, try new approaches ⚡ How we move fast — We fight complexity and focus on what matters - Disciplined execution: decisive action with compounding focus - Fight for simplicity: high-impact processes, smart frugality ⭐ THE ENGINEERING TEAM ⭐ In our engineering team, we build the infrastructure, interfaces, and applications to provide first-class service to our members, health professionals, and even ourselves! Being an engineer at Alan means joining a team of talented, committed and passionate engineers, with a lot of product interaction. We move fast, with a lot of ownership, and are proud to tackle big problems! Our process is very simple: those who make product decisions are the same ones who build them. Our stack is Python/Flask, React, React Native, PostgreSQL. Want to know more? Read this article https://blog.alan.com/tech-et-produit/engineering-organisation-at-alan if you want to discover how life as an Engineer at Alan and this article https://medium.com/alan/engineering-career-path-at-alan-e5de5c2e740c on our Engineering career path. 🌐 ENABLING GLOBAL-FIRST PRODUCT DEVELOPMENT In Alan's early expansion https://medium.com/alan/an-unexpected-journey-the-tale-of-the-backend-architecture-at-alan-ac8c5382df60, we made a strategic decision to create separate codebases for each country we ventured into. This approach allowed us to quickly adapt and tailor our applications to meet the unique healthcare and regulatory requirements of France, Belgium, Spain, and Canada. In 2024 https://medium.com/alan/engineering-challenges-at-alan-in-2024-686688f6b89d, we reached a crucial point where it was essential to merge these codebases into global, configurable modules. Yet, writing local code is still easier than building global solutions. The Global Architecture team is central to this transformation — our goal is to enable any team at Alan to develop and launch features seamlessly across markets, as outlined in our 2025 technical strategy https://medium.com/alan/alans-2025-technical-strategy-building-tomorrow-s-stack-today-a070bcb345a6. 🚀 Your mission - Design Cross-Cutting Modules You'll transform country-specific implementations into elegant global components that will become the new building blocks of other teams to build global features - Remove Technical Blockers for Product Teams You’ll tackle technical blockers that cut across several domains and eliminate the need for team-specific workarounds, allowing product teams to focus on their core business - Orchestrate Data Transformations You'll implement strategies to harmonize different countries' data models without losing local flexibility and consolidate existing data into unified schemas - Build and Own What You Create You'll be responsible for the entire lifecycle of your solutions, from initial design through long-term maintenance. We don't just design — we build, deploy, and maintain what we create 🌟 Why This Role Matters - Focus on High-Impact, Cross-Domain Solutions You work exclusively on blockers that span multiple business domains that are heavily depended upon. This means every solution you build has an impact across multiple teams - Enable Teams, Don't Replace Them Your job isn't to substitute other teams or globalize everything. Instead, you'll work on technical obstacles that prevent teams from building global-first solutions and work with them to remove those obstacles - Learn and Share Globalization Patterns As you design and implement global solutions, you'll develop an expertise in globalization patterns. You'll share these learnings with other teams, helping them make better decisions about global vs. local solutions in their own work 🚀 What we're looking for - You write code and maintain what you build. At Alan there is no architect in an ivory tower, we implement what we design - You’re able to navigate complex systems spanning multiple business domains and technical boundaries - You've worked with diverse architectural patterns and can articulate the nuanced trade-offs between them - You can spot technical obstacles that are blocking multiple teams and design solutions that remove those obstacles ⭐ IS IT YOU WE’RE LOOKING FOR? We are looking for problem-solver engineers with 5+ years of experience who get excited about simplifying complex business problems: - You’ll be able to tackle high-impact & high-risk projects involving many engineers. - You’ll design efficient systems and engineering practices to align with and facilitate interactions between multiple teams/products. - You’ll have the opportunity to mentor other engineers & lead crews (more details in this article https://blog.alan.com/tech-et-produit/engineering-organisation-at-alan). - You’ll be able to contribute to hiring your future coworkers and shape candidates’ hiring experience (improving our technical assessment process etc...) You would be a good fit at Alan if most of this sounds like you: - Well-versed in Object Oriented Programming such as Python, Java, C#, and enthusiastic about web technologies such as modern Javascript. - Willing to work in Python/JavaScript (but you don’t need to have experience with those 2 languages!). - Passionate about building products. - Self-starting and entrepreneurial. - Humble and still willing to grow (no matter your seniority!). - Collaborative, enthusiastic about teamwork, learning, and teaching. - Fluent in English (no need to speak French!). For this opportunity, we are aiming to hire within the D-F level range. But above all, we are looking for high potential and curiosity: make sure to show us this when you apply! Everything else is a bonus. 🙌 PERKS & BENEFITS https://alan.com/en/careers/a/salary-equity At Alan, we believe that being in good health is a basic need, and it starts with our employees. This is why Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers. Therefore, we offer: - Fair rewards. Generous equity packages complement your base salary. - Flexible Office. Amazing office space at our HQ, sponsored co-working hubs or a full-remote experience with home office equipment sponsorship, we want you to live where you’re the happiest. - All the tools you need. Top of the range equipment: Macbook Pro, keyboard, laptop stand, monitor, and noise-canceling headphones. - Flexible vacation policy and flexible working hours. Organize your time as you wish. - Delightful healthcare insurance: Extremely comprehensive health insurance - 100% for you and your children, 90-100% for partners depending on your country (permanent contracts only). - Transport. Country-specific commuter benefits. - Learning & Training opportunities. A highly flexible Training policy free books and budget to attend and speak at conferences if the opportunity arises. - Personal growth through coaching: At Alan, coaching isn't just a perk - it's core to who we are. Every Alaner is paired with a dedicated coach from day one, who helps maximize their impact, nurture engagement, and navigate Alan's values to develop their full potential. Learn more about our coaching culture https://alan.com/en/blog/discover-alan/a/alan-culture-excellence-through-coaching. - Parental leave. Extended parental leave for all new parents. IMPORTANT NOTE: WE HIRE PEOPLE, NOT ROLES. If you're excited about this opportunity but don't check every box, we'd love to hear from you. Everyone, no matter how underrepresented, should feel free to apply as it can only bring learnings or success. If you identify yourself as a woman: Did you know that research shows women often apply only when meeting 100% of requirements? Remember, this is just a guide, not a checklist. We'll be thrilled to receive your application! 🔖 Check out our About Alan https://alan.com/about and Career https://alan.com/careers pages, as well as our Medium https://medium.com/alan, blog https://blog.alan.com/ and Glassdoor page https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE1696043.11,15.htm for more info. 🔄 A quick note about the process Note: While you're applying for a specific area,, you may join a different engineering team based on where we think you'll have the most impact. Check out descriptions of other areas here https://www.notion.so/alaninsurance/Software-Engineering-Areas-Alan-2c61426e8be7805bacd2cdbc08c32640?source=copy_link.

Location: Anywhere in France, Belgium, Spain HEALTH CAN’T WAIT. Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t. Alan exists to end the wait. Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way. So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience. We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR. Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond. 🤘 HOW WE DO IT ? People joining Alan are always surprised and delighted by our innovative working method. We have a set of cultural values https://alan.com/about/company-culture that guide our approach to work, such as: 🎯 What drives us - We're obsessed with helping members live healthier - Mission is the Boss: long-term thinking, mission above all else - Member & customer-led: obsessed with solving problems and delighting users 🏆 How we build excellence - We hire the best and empower them to succeed - Champions of excellence: extremely high standards and talent density - Distributed ownership: everyone owns their decisions and results - Radically transparent: all information accessible, written-first, async decisions 🤝 How we grow together - We improve through honest feedback and bold thinking - Optimistic alchemy: optimists who collaborate with genuine care - Empathetic challengers: direct, caring feedback to help each other grow - Bold contrarians: think differently, try new approaches ⚡ How we move fast — We fight complexity and focus on what matters - Disciplined execution: decisive action with compounding focus - Fight for simplicity: high-impact processes, smart frugality ⭐ THE PRODUCT PLATFORM AREA 🎯 MISSION We enable product crews to move faster by providing reliable, reusable, and simple internal services. We encapsulate complexity, expose clear interfaces, and build mature, long-term building blocks. 🔭 SCOPE Our focus is on building reusable internal capabilities that power multiple product flows: - Core Services: APIs & systems like Payment, Messaging, Document Processing, Pricing Engine - Shared Platforms: Centralized services (e.g. AI Platform) with strong adoption across areas. - Operational Tooling: Dashboards and automation that support reliability, observability, and scalability. - Foundational User Experience - Ensure quality and consistency of the UX through shared layout systems, navigation, reusable UI components Our role is to empower product teams, reducing their cognitive load. ⚡ IMPACT - Your work will be used daily by hundreds of product builders across Alan. - You’ll shape reusable building blocks that make it faster and safer to launch products across multiple countries. - By improving adoption of our services, you’ll directly improve product velocity, consistency, and member experience. ⚡ WHY THIS ROLE IS SPECIAL - High Leverage: Your work is multiplied across the entire company — adoption & reliability is our main KPIs. - Complex Problems: Multi-country services, abstraction design, and adoption challenges. - Platform Mindset: You’ll build services like a product, with product teams as your customers. - Ownership: You’ll influence product direction, mentor engineers, and shape Alan’s internal platform for years to come. You’ll work closely with product crews across all Alan areas, as well as with our Architecture Group and Tech Foundation Area, making sure our systems scale globally and align with long-term technical strategy 🛠️ THE STACK Python/Flask, React, PostgreSQL in a monorepo. We deploy daily and believe in distributed ownership - you build it, you own it. 🔍 WHAT WE’RE LOOKING FOR Experience we value - 3+ years in backend, platform, or infrastructure-oriented engineering roles - Experience designing and maintaining internal services, APIs, or SDKs - You love turning complex problems into elegant solutions - You care about the "why" behind what you build, not just the "how" MINDSET WE VALUE - You think in terms of platform as a product: other engineers are your customers - You simplify complexity with clear abstractions and long-term ownership - You are collaborative, humble, and motivated by enabling others - You leverage AI to redefine our roles and unlock scalability - Healthcare technology excites you - You are fluent in English (no French required) 🌍 HOW WE WORK - Location: You must be legally eligible to work in France, Belgium, or Spain. - Remote work: We offer remote work flexibility, but we value in-person collaboration 🎯 IMPORTANT NOTE: WE HIRE PEOPLE, NOT ROLES. If you're excited about this opportunity but don't check every box, we'd love to hear from you. Everyone, no matter how underrepresented, should feel free to apply, as it can only bring learnings or success. If you identify yourself as a woman: Did you know that research shows women often apply only when meeting 100% of requirements? Remember, this is just a guide, not a checklist. We'll be thrilled to receive your application! 🔖 Check out our About Alan https://alan.com/about and Career https://alan.com/careers pages, as well as our Medium https://medium.com/alan, blog https://blog.alan.com/ and Glassdoor page https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE1696043.11,15.htm for more info. YOU WANT TO KNOW MORE ABOUT ALAN? - 🙌 Perks & Benefits https://alan.com/en/careers/a/salary-equity: Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers. - 🤘 A strong culture https://alan.com/en/about/a/leadership-principles: People joining Alan are often surprised and delighted by our innovative working method. We have a set of cultural values that guide our approach to work 🔄 A quick note about the process Note: While you're applying for a specific area,, you may join a different engineering team based on where we think you'll have the most impact. Check out descriptions of other areas here https://www.notion.so/alaninsurance/Software-Engineering-Areas-Alan-2c61426e8be7805bacd2cdbc08c32640?source=copy_link.

Location: Dammam, Saudi Arabia Eram Talent is on the lookout for a knowledgeable and driven Sr. Static Equipment Engineer to join our esteemed team in Saudi Arabia. With a strong presence in the oil and energy sector, our consultancy firm is dedicated to connecting top-tier talent with industry-leading organizations. In this senior role, you will be responsible for the design, evaluation, and maintenance of various static equipment, including pressure vessels, heat exchangers, and storage tanks. You will lead engineering projects, providing technical expertise and guidance to ensure compliance with regulatory standards and operational efficiency. Your contributions will be essential in enhancing equipment reliability and performance, while also mentoring junior engineers and fostering a culture of excellence within the team. Requirements Bachelor's degree in Mechanical Engineering or a related field; a Master's degree is highly preferred. At least 15 years of relevant experience in static equipment engineering within the oil and gas industry. Strong knowledge of engineering codes and standards such as ASME, API, and NACE, along with practical experience in their application. Proficiency in design and analysis software including PVElite, CEASER, and AutoCAD. Demonstrated ability to manage engineering projects and provide solutions for equipment optimization and reliability. Exceptional problem-solving and analytical skills, with a focus on innovation in engineering practices. Excellent communication skills and ability to work effectively in a team-oriented environment. Fluency in English is mandatory; Arabic proficiency is an advantage. Commitment to upholding health, safety, and environmental standards. Experience in mentoring and developing less experienced engineers is highly valued.

Location: Dhahran, Saudi Arabia Eram Talent, a leading Talent Acquisition Consultancy operating in the oil and energy sector, is seeking a highly experienced Senior Rotating Equipment Engineer to join our team in Saudi Arabia. In this role, you will be responsible for the analysis, design, and maintenance of various rotating equipment, playing a critical role in ensuring optimal performance, reliability, and safety standards. As a Senior Engineer, your duties will include developing and implementing maintenance strategies, performing root cause analyses on equipment failures, and ensuring compliance with local and international industry standards. You will collaborate closely with engineering, operational, and maintenance teams to drive improvements and innovation in equipment reliability. This is an exciting opportunity to lead projects and make significant contributions in a dynamic environment where your expertise in rotating machinery will be highly valued. If you are driven by challenge and eager to leverage your skills in a forward-thinking company, we encourage you to apply. Requirements Bachelor's degree in Mechanical Engineering or a related field A minimum of 10 years of experience in rotating equipment engineering within the oil and energy sector Deep knowledge of the design, operation, maintenance, and troubleshooting of rotating machinery, including pumps, turbines, and compressors Strong familiarity with industry standards and regulatory compliance Highly developed analytical and strategic problem-solving skills Excellent communication and teamwork abilities Prior experience in leading projects or teams is a plus Fluency in English is required; Arabic language skills are a plus

Location: Amsterdam, Netherlands; Belgrade, Serbia; Berlin, Germany; Limassol, Cyprus; London, United Kingdom; Madrid, Spain; Munich, Germany; Paphos, Cyprus; Prague, Czech Republic; Remote, Germany; Warsaw, Poland; Yerevan, Armenia Software engineers and AI agents alike suffer from the same problem: finding that one person or place that will answer their tough, specific question. Many solutions promise to solve this with similarity search in vector databases. Unfortunately, finding the answer is often a puzzle with pieces to be collected across a myriad of contradictory sources and cannot be solved without surgical search and careful reasoning. Spectrum collects data from an organization’s code, docs, and issues, and organizes knowledge in a unified ontology that AI agents can efficiently search through and reason over. We aim to revolutionize the semantic layer space for software-building organizations and move beyond specs that fall out of sync with code, introducing a living spec – one that’s extracted from the whole system and used to keep it aligned. Spectrum is meant to be the single source of truth for all product and architectural knowledge. Spectrum is a resident of JetBrains' startup incubator, with startup speed and autonomy, and backed by 25 years of developer tooling expertise. We are looking for a top-class ML Engineer who will help us shape the future of software development. You will own our AI and ML engineering stack and help define the research agenda for our team. Your technical vision and design decisions will directly shape the product and determine its success. Your responsibilities will include: Designing and building the ML/LLM solution for data ingestion, knowledge extraction, retrieval, and subsequent reasoning. Creating the datasets, metrics, and pipelines that drive measurable improvements across the system. Architecting and improving agents for context retrieval, knowledge extraction, and data alignment, which includes prompt engineering, model selection, and inference optimization. Establishing MLOps practices, including orchestration, observability, and experiment tracking. Collaborating with the engineering team on system design and with JetBrains Research on the research agenda. Defining hiring criteria, growing the ML team, and shaping the ML team culture. We expect you to have: A proven track record as an ML/AI Lead. At least five years of experience in ML/AI systems, with at least two years focused on LLMs and generative AI. A deep understanding of the LLM ecosystem, including model architectures and fine-tuning approaches. Hands-on experience with: Prompt engineering and LLM pipeline design, including evaluation. Agentic frameworks such as LangChain, LlamaIndex, LangSmith, smolagents, or an equivalent. Vector databases and retrieval-augmented generation (RAG) patterns. Deploying and scaling LLM-powered applications using APIs (e.g. OpenAI or Anthropic) or open-source models. Strong Python skills – Kotlin knowledge would be a plus. Excellent communication skills, with the ability to explain complex technical concepts to diverse audiences. Proficiency in English, both written and verbal. Our ideal candidate would have: Experience with ontologies, knowledge graphs, or graph-based reasoning. Experience in early-stage startups – you enjoy the zero-to-one phase. The ability to think strategically about product-led AI, beyond just training models in isolation. A background in code analysis, developer tools, or software engineering research. Experience with multi-agent systems or complex agentic workflows. Actively contributed to relevant open-source projects or publications. What we offer A competitive salary and JetBrains benefits. A generous runway and corporate resources with startup autonomy. #LI-KP1 We are an equal opportunity employer We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation. We process the data provided in your job application in accordance with the Recruitment Privacy Policy.

Location: Pune; Bangalore Workplace: remote IDT (www.idt.net) is a communications and financial services company founded in 1990 and headquartered in New Jersey, US. Today it is an industry leader in prepaid communication and payment services and one of the world’s largest international voice carriers. We are listed on the NYSE, employ over 1800 people across 20+ countries, and have revenues in excess of $1.5 billion. We are looking for a skilled Senior Data Engineer (with AI/ML exposure)  to join our BI team and take an active role in designing, building, and maintaining the end-to-end data pipeline, architecture and design that powers our warehouse, LLM-driven applications, and AI-based BI. If you're looking for a company that will give you the maximum flexibility in choosing a location to work, this opportunity is for you!    * The interview process will be conducted in English. Responsibilities: Design, develop, and maintain scalable data pipelines to support ingestion, transformation, and delivery into centralized feature stores, model-training workflows, and real-time inference services. Design, optimize, and maintain robust ETL/ELT pipelines and data structures within our cloud data warehouse (Snowflake/Redshift) to support core Business Intelligence. Build and optimize workflows for extracting, storing, and retrieving semantic representations of unstructured data to enable advanced search and retrieval patterns. Architect and implement lightweight analytics and dashboarding solutions that deliver natural language query experience and AI-backed insights. Define and execute processes for managing prompt engineering techniques, orchestration flows, and model fine-tuning routines to power conversational interfaces. Oversee vector data stores and develop efficient indexing methodologies to support retrieval-augmented generation (RAG) workflows. Partner with data stakeholders to gather requirements for language-model initiatives and translate into scalable solutions. Create and maintain comprehensive documentation for all data processes, workflows and model deployment routines. Should be willing to stay informed and learn emerging methodologies in data engineering, MLOps and LLM operations. Requirements: Senior Data Engineer with 6-7+ years of experience in building scalable data infrastructure and 1-2 years of hands-on exposure to AI/ML workflows. Excellent English communication skills. Hands-on experience with big data technologies including Apache Spark, Hadoop, and Kafka for distributed processing and real-time data ingestion. Experience designing complex data pipelines extracting data from RDBMS, JSON, API and Flat file sources. Demonstrated skills in SQL and PLSQL programming, with advanced mastery in Business Intelligence and data warehouse methodologies, along with hands-on experience in one or more relational database systems and cloud-based database services such as Snowflake/Redshift. Effective oral and written communication skills with BI team and user community. Demonstrated experience in utilizing python for data engineering tasks, including transformation, advanced data manipulation, and large-scale data processing. Deep understanding of vector databases and RAG architectures, and how they drive semantic retrieval workflows. Skilled at integrating open-source LLM frameworks into data engineering workflows for end-to-end model training, customization, and scalable inference. Experience with cloud platforms like AWS or Azure Machine Learning for managed LLM deployments. Understanding of software engineering principles and skills working on Unix/Linux/Windows Operating systems, and experience with Agile methodologies. Proficiency in version control systems, with experience in managing code repositories, branching, merging, and collaborating within a distributed development environment. Interest in business operations and comprehensive understanding of how robust BI systems drive corporate profitability by enabling data-driven decision-making and strategic insights. Pluses: Experience with vector databases such as DataStax AstraDB, and developing LLM-powered applications using popular open source frameworks like LangChain and LlamaIndex–including prompt engineering, retrieval-augmented generation (RAG), and orchestration of intelligent workflows. Familiarity with evaluating and integrating open-source LLM frameworks–such as Hugging Face Transformers/LLaMA-4 across end-to-end workflows, including fine-tuning and inference optimization. Knowledge of MLOps tooling and CI/CD pipelines to manage model versioning and automated deployments. What we offer: Remote work opportunity! B2B Employment ($, gross) or full-time employment option. Stable job with long-term growth perspective. Competitive salary with annual performance review. Really good hardware. An exciting and challenging job with talented people around. Continuous learning and career growth opportunities. Compensation for professional training, seminars, and conferences. Referral program – get rewarded for helping us grow the team with talented people. Company-supported English classes to enhance your professional growth. Please attach CV in English. The interview process will be conducted in English.   Only accepting applicants from INDIA

Location: Nicosia Wrike is the most powerful work management platform. Built for teams and organizations looking to collaborate, create, and exceed every day, Wrike brings everyone and all work into a single place to remove complexity, increase productivity, and free people up to focus on their most purposeful work. Wrike is our people, not a place. As a distributed team, we own our growth, stay globally connected, and rely on the product we build to deliver impactful work alongside brilliant minds. You'll have real ownership over meaningful work, a global team that has your back, and the flexibility to do your best work your way. If that sounds like you, we'd love to hear from you. Our vision: A world where everyone is free to focus on their most purposeful work, together. About the Role: You'll help build the very AI-powered platform you use every day, with real autonomy over the features you ship. Wrike’s Backend Reliability (BRE) team is the backbone of our backend infrastructure and the guardian of our uptime. Our mission is to achieve and sustain 99.99% availability while building the tools, components, and safety nets that the entire engineering organization relies on. As a Senior / Staff Backend Engineer on this team, you won’t just close tickets - you’ll architect core reliability solutions that shape how Wrike scales, performs, and recovers from failure. Your Impact: Design, build, and maintain critical reliability components such as HTTP rate limiters, internal DB schema migration tools, circuit breakers, and distributed Redis-based caching. Troubleshoot complex production issues, optimize PostgreSQL usage, and ensure our distributed systems remain performant and stable under high load. Lead preliminary investigations during severe production incidents: identify likely root causes, assess impact, and propose mitigation options. The long-term fixes are then implemented by the owning team, based on your findings. Create scalable, reusable tools and frameworks that help other engineering teams build more resilient services. Leverage AI-powered tools and coding agents to accelerate development, analyze architectures, and automate repetitive or error-prone tasks. Influence reliability best practices across engineering by sharing knowledge, reviewing designs, and setting high technical standards. Your Qualifications: Strong expertise with Java/JVM, building scalable, high-performance backend systems; open to leveraging other languages when appropriate. Solid understanding of distributed systems concepts, including high availability, CAP theorem, and fault tolerance. Deep experience with relational databases (PostgreSQL) and key–value / non-relational storages (Redis). Practical experience with containerization and cloud-native environments, including Docker and Kubernetes. Hands-on experience with message brokers such as RabbitMQ or Kafka. Ability to work independently with minimal supervision, using critical thinking to question assumptions and validate your own decisions. Strong written and spoken English skills suitable for collaborating in an international engineering environment. Standout Qualities: Background in infrastructure engineering or Site Reliability Engineering (SRE), including infrastructure-as-code practices. Experience leading technical initiatives, driving cross-team projects, and mentoring other engineers while remaining an individual contributor. Familiarity with observability and monitoring stacks (e.g., Graylog, Zabbix, Grafana) and/or data analytics tools such as BigQuery. A strong interest in how complex systems fail and a track record of designing them to recover gracefully. Team Dynamics: You will join the Backend Reliability (BRE) team, a small, highly specialized, senior group focused solely on Wrike’s reliability. The team operates as an internal “reliability task force,” partnering closely with product and platform engineering teams across the company. You’ll collaborate with other senior engineers who value autonomy, deep technical discussions, and rigorous engineering practices. The culture is ownership-driven: you are trusted to manage your time, make architectural decisions, and drive initiatives to completion. Our Work Style: The BRE team works on core backend and infrastructure services that support millions of users. We operate in a collaborative environment that values clear communication, thoughtful design, and fast feedback loops. Tech focus areas include: Java/JVM-based services, PostgreSQL, Redis, Docker, Kubernetes, RabbitMQ/Kafka, and observability/monitoring tools. We encourage the use of modern AI-based tooling and coding agents as part of daily development and troubleshooting workflows. Work is organized with an emphasis on impact and reliability goals rather than ticket volume, giving you room for deep work and long-term improvements. Hybrid work mode (Prague, Czech Republic / Nicosia, Cyprus), with flexibility to balance focused individual work and collaborative sessions. Benefits & Perks: 25 calendar days of paid vacation Sick Leave Compensation (5 Paid Uncertified Sick Days) Parental Leave: 18 Weeks Maternity / 4 Week Paternity 2 Volunteer Days Medical Insurance (Employees + Dependents) Hybrid Working Model School Allowance (Up to €600/month for school aged kids) Simcard w/ Unlimited Internet Access for active employees Office Lunch Allowance (via Wolt) on Wednesdays / Thursdays What’s next? Interview with a Recruiter Technical interview System Design Interview Cultural interview Your recruitment buddy will be Aleksandar Chernev , Senior Technical Recruiter. #LI-AC1 Who Is Wrike and Our Culture We’re a team of innovators and creators who solve the complex work problems of today and tomorrow. Hybrid work mode Wrike is our people, not a place. With 1,000+ employees collaborating across nearly every time zone, we support talent through 10 global hubs — Australia, Costa Rica, Cyprus, Czechia, Estonia, France, India, Ireland, Japan, and the United States — offering flexible ways of working that include remote work, hybrid environments, and co-working spaces across many locations. While flexibility looks different across teams and regions, employees located near certain hubs — particularly in Prague (CZ), Nicosia (CY), Bangalore (IN), and Rennes (FR) — are generally expected to collaborate in person around 2–3 days per week, balancing the flexibility of distributed work with opportunities for in-person collaboration and connection. Our persona 💡  Smart: We love what we do, and we’re great at it because this is our domain. Our combined knowledge in this space is unmatched. 💚  Dedicated: We get up every day focused on helping our customers win. We’re committed to helping our teammates win, too! 🤗  Approachable: We're friendly, easy to get along with, considerate, and helpful. Our culture and Values 🤩 Customer-Focused We care about our customers. We understand the customer journey, experience, and value derived from Wrike. Decision-making and action-taking are done with the customer in mind. 🤝 Collaborative We work as one and win together, each bringing unique strengths that contribute to diversity of thought for better outcomes. Leveraging our own work management platform, we foster an environment of creative collaboration and shared achievement. 🎨 Creative We strive to succeed through continuous innovation. It’s our pursuit of novel concepts that helped us create a market category. We continue to cultivate a workplace that fosters creative thinking as a means of transcending conventional boundaries and empowers us to break new ground to deliver extraordinary work management solutions. 💪 Committed We believe in ownership at all levels of the organization, by owning workflows from start to finish. Each member of our team is an integral part of this commitment, establishing work as a platform for personal growth and transformation, as well as collective success and growth. Check out our LinkedIn Life Page , Company culture page , Instagram , Wrike Engineering Team , Medium , Meetup.com , Youtube for a feel for what life is like at Wrike.

Location: Hong Kong, Hong Kong SAR; Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa About OKX At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About The Team The DEX Token Markets team at OKX Web3 builds real-time market tracking and analysis tools across 40+ chains and hundreds of thousands of trading pairs — charts, trade feeds, watchlists, alerts, and screeners trusted by millions of traders navigating DeFi, including the fast-moving meme coin markets driving much of today's on-chain volume. What You'll Be Doing Build and maintain the market tracking platform, including systems tuned for meme coin-style volume spikes and liquidity swings. Develop high-throughput, low-latency backend systems that keep data accurate and reliable under bursty load. Troubleshoot issues to ensure service stability and quality. Ship features on time with clean, well-tested, maintainable code. Collaborate with product and engineering to keep integrations running smoothly. What We Look For In You Bachelor's/Master's in CS, Software Engineering, or related (or strong STEM background). 3-5+ years building high-performance systems in Java — strong grasp of JVM, IO, multithreading, concurrency, networking. Solid MySQL experience (transactions, indexing, SQL optimization) and familiarity with caching/message queue middleware. Strong command of data structures, algorithms, design patterns. Clear logic, strong communication, thrives in fast-paced environments. Hands-on meme coin trading experience — an active trader/degen who understands the volatility, liquidity dynamics, and speed that define this market, bringing real product intuition to the team. Nice to Haves Distributed systems experience — consistency, high availability, fault tolerance, horizontal scalability. Experience with real-time on-chain data systems: DEX pools, token launches, liquidity tracking. Working proficiency in English for global collaboration. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Remote: United States; Remote: Canada Workplace: Remote At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. APPLYING TO RENDER We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time. ABOUT THE ROLE Render's mission is to eliminate the undifferentiated work that goes into building software products by offering an easy-to-use, powerful cloud platform for developer teams of all sizes. By joining us at an early stage, you will design and build the cloud platform you've always wanted for yourself, and make decisions that will shape our product and company, directly impacting developers around the globe. The challenge is in building the right user-facing features and abstractions that make simple application deployments effortless and complex application deployments possible. User experience is our primary focus and drives everything we do. As a product engineer at Render, you will take complete, end-to-end ownership of full stack projects. You should already have experience building products across the stack and have a keen understanding of databases, web frameworks, APIs, and multiple programming languages. WHAT YOU'LL DO - Build new products. This team owns the customer attraction, onboarding, and billing flows. - Collaborate closely with design, product, other engineers, and cross-functional stakeholders. - Help evolve and mature the Render codebase and technology as the product scales and increases in complexity over time. - Participate in team planning, roadmapping, and goal-setting. - Help shape team culture and practices as the company scales. - Participate in on-call responsibilities with the rest of your team. WHAT WE'RE LOOKING FOR - 6+ years of professional experience shipping software. Bonus points if you’ve excelled at a small, high-growth startup. - Experience collaborating with product and design stakeholders. - Experience wearing multiple hats and working across the stack, both collaboratively and independently. - Strong understanding of web frameworks, APIs, and databases, and experience working with multiple programming languages. - Strong sense of ownership and ability to make pragmatic decisions about your work. NICE-TO-HAVES: - Familiarity with modern tooling for software build and deploy processes. - Familiarity building for product-driven growth and modern enterprise audiences. - Experience with any of the technologies the Render product runs on: Go, Typescript, React, Kubernetes, Postgres, Terraform, Temporal. If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need. BENEFITS - 4 weeks of paid vacation. - 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return. - Long-term disability, life insurance, and 401K plans. - 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well. - Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc. - Monthly cell phone and internet subsidy. - Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders. - Continuous learning benefits & related support. This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization. Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. We encourage all who are interested to apply. We can't wait to hear from you! Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view

Location: San Francisco, CA Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. WHAT YOU'LL DO - Implement Go-to-Market software for our marketing, sales, and agent development teams - Design and build the automated workflows, integrations, and AI-powered systems that turn signal into pipeline, across enrichment, scoring, routing, and outbound activation - Own our enrichment infrastructure end-to-end: the pipelines that take a new signup, demo request, or event attendee list and return a fully enriched, scored, Salesforce-upserted record across Clay, ZoomInfo, Cognism, and LLM-powered sources - Build AI agents and AI-powered internal tools that compound sales team output — account research, call summarization, RFP and security questionnaire response, proposal generation, and Slack-accessible agents that surface account intel on demand - Build and improve the fit scoring pipeline that evaluates every account against our ICP and writes results to Postgres and Salesforce, including signal design, batching, retry logic, and continuous improvement of the underlying models - Develop data architecture using Postgres, Fivetran pipelines, and reverse ETL. Keep data jobs healthy and in sync with the tools that consume them; track downstream impact when schemas and apps change - Ship production code with PR review, observability, and proper error handling and debug production incidents (Salesforce platform failures, enrichment failures, LLM timeouts) WHAT YOU'LL BRING - 3+ years in GTM Engineering, Revenue Operations, Sales Engineering, Growth Engineering, or a closely adjacent technical role at a high-growth B2B SaaS company - Python and TypeScript skills: You write clean code, understand async patterns, can design a database schema, and can debug a production incident from logs alone - Hands-on experience inside a modern GTM stack (Salesforce, HubSpot, Outreach, Clay, enrichment providers): You understand how leads flow through a CRM and why data quality degrades over time - Production experience with LLMs: Prompt design, eval loops, error handling, and the difference between a demo and a system you can trust at scale - Strong working knowledge of SQL, schemas, and data flow across GTM and warehouse systems - Systems thinking: You’ve built data pipelines and think about what happens at 10x volume, when an API goes down, or when the same account hits your queue five times in parallel - Owner's mindset: You take accountability from code to deployment to adoption, define scope with minimal direction, and ship good solutions over perfect ones EVEN BETTER… - Built applications using LLMs, ideally with exposure to production-grade AI/ML systems - Developed custom Salesforce solutions using apex classes, apex triggers, LWC, SLDS - Integrated salesforce with other business systems using REST/SOAP APIs, Platform Events, and External Services OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized  - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

Location: Budapest WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people. The Role: WorldQuant is seeking exceptional C++ developers to join our front office development team to further enhance and build our next generation trading platforms. What You'll Do Write low latency, high throughput C++ code Implement mission critical trading infrastructure Work with portfolio managers to implement new trading systems Adapt existing systems to our next generation trading platform What You'll Bring Experience with writing of high performance C++ code Modern C++ knowledge (C++17/20, etc) C++ template meta programming knowledge Possess in-depth knowledge of network programming and distributed computing Strong knowledge of Unix/Linux fundamentals Strong understanding of data structures and algorithms Finance experience is preferred but not required What We Offer: Competitive compensation package Core benefits include: premium private health insurance and life insurance with savings plan Support for every aspect of life through Employee Assistance Program and fully covered sick leave Strong culture of learning and development: training courses, library, guest speakers, share and learn events, global conferences Regular offsite team buildings, annual conferences and occasional global summits – opportunity to travel and connect with our local and global teams #LI-MH1 By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved. WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

Location: Home based - EMEA Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder led, profitable and growing. This is an opportunity to shape the future of cloud networking user experience at Canonical, the company behind Ubuntu.  We're looking for an exceptional Staff Design Engineer who can make complex networking infrastructure intuitive, powerful, and delightful for developers and operations teams working in cloud environments. As a Staff Design Engineer, you'll define the UX vision for how users interact with networking across our cloud portfolio—from MAAS to MicroCloud and Ubuntu Server networking. You'll work on challenges like visualizing network topologies, designing intuitive configuration interfaces, and creating experiences that make infrastructure manageable at scale. This role sits in the design team reporting to the Infrastructure design manager and is expected to have a company-wide impact. Location: This role will be based remotely in the EMEA region. The role entails Defining and driving the UX strategy for cloud networking products across Canonical's portfolio Designing intuitive interfaces for highly complex networking concepts that rethink VPCs, subnets, routing tables, security groups, load balancers, and network observability Creating and evolving design systems and patterns that scale across multiple products and platforms Conducting user research with DevOps engineers, network administrators, SREs, and cloud architects to understand their workflows, pain points, and mental models Building prototypes and high-fidelity designs using Figma or similar tools Creating experiences for network troubleshooting, monitoring, and observability Working on both GUI and terminal-based user experiences, understanding that our users span from UI to CLI preferences Mentoring designers and contribute to design culture across Canonical Owning one of our working groups to enable Canonical design’s horizontal efforts What we are looking for in you Exceptional academic track record from both high school and university Bachelor’s or equivalent in User Experience, Design, or STEM or a compelling narrative about your alternative chosen path 8+ years of experience in product design, UX design, or interaction design, with a strong portfolio of B2B/enterprise products Solid understanding of cloud computing and networking fundamentals, experience designing for developers and operations teams, and their workflows Strong information architecture skills and can organize complex systems into clear, navigable structures Experienced in user research methodologies and can translate findings into actionable design decisions Excellent communication skills and can articulate design rationale to both technical and non-technical audiences Self-motivated, organized, and comfortable working in a distributed, remote-first environment Knowledge and passion for the intersection of user experience, technology and design Commitment to continuous learning and improvement - curious, flexible, scientific Result-oriented with a drive to finish work and celebrate success Ability to travel internationally twice a year, for company events up to two weeks long What we offer you Your base pay will depend on various factors including your geographical location, level of experience, knowledge and skills. In addition to the benefits below, certain roles are also eligible for additional benefits and rewards including annual bonuses and sales incentives based on revenue or utilisation. Our compensation philosophy is to ensure equity right across our global workforce. In addition to a competitive base pay, we provide all team members with additional benefits, which reflect our values and ideals. Please note that additional benefits may apply depending on the work location and, for more information on these, you can ask in the later stages of the recruitment process. Fully remote working environment - we’ve been working remotely since 2004! Personal learning and development budget of 2,000USD per annum Annual compensation review Recognition rewards Annual holiday leave Parental Leave Employee Assistance Programme Opportunity to travel to new locations to meet colleagues at ‘sprints’ Priority Pass for travel and travel upgrades for long haul company events About Canonical Canonical is a pioneering tech firm that is at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Canonical has been a remote-first company since its inception in 2004.​ Work at Canonical is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical provides a unique window into the world of 21st-century digital business. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration. #LI-remote

Location: Dubai, United Arab Emirates As an AI Infrastructure & MLOps Engineer at Müller’s Solutions for a 6-month contract, This role is primarily operations-focused (90%) , with hands-on involvement in implementation, configuration, and setup of AI infrastructure and MLOps workflows. You will play a key role in managing, operating, and guiding the deployment of a strategic AI environment , working closely with the customer as a technical advisor and hands-on engineer. What about the role responsibilities? Operate and maintain AI infrastructure and MLOps platforms in a production environment. Monitor, manage, and troubleshoot Kubernetes-based AI workloads. Perform Acceptance Testing Planning and Execution for AI infrastructure and platforms. Ensure stability, performance, and availability of AI systems. Support day-to-day operational tasks across compute, storage, and networking layers. Install and configure NVIDIA Enterprise AI Stack (NVAI) . Configure and manage MLOps platforms such as Kubeflow and MLflow . Assist in setting up end-to-end AI workflows , including data pipelines. Support the initial implementation phase of the AI environment. Act as a technical guide and advisor to the customer during the early stages of their AI adoption. Requirements What should you have to fit in this role? Technical Requirements AI / MLOps Stack Proficient experience with the NVIDIA Enterprise AI Stack Familiarity with Ubuntu Linux Experience with Kubernetes Knowledge of Kubeflow / MLflow Experience with QFLOW (an open-source AI data pipeline management tool) Programming & Automation 4–6 years of practical experience in: Python Jupyter Notebook / JupyterLab Competence in writing, testing, and maintaining operational scripts and AI workflows. Infrastructure Experience Practical experience with enterprise infrastructure, encompassing: Dell PowerScale (5 nodes) XE Server (1 node) Dell R570 Servers (5 nodes) Dell Network Switches (2 switches) GPU-based AI servers (in a small-scale environment) Environment Overview Initial implementation of AI Compact configuration: 1 GPU server 1 PowerScale 5 control plane servers Opportunity to shape best practices from the ground up To succeed in this role, it's nice to have: •   Familiarity with data frameworks like Apache Spark or Hadoop for data processing. •   Understanding of ML model monitoring and logging practices to ensure system reliability. •   Experience with security best practices in AI systems.

Location: United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role: The role involves forming technical hypotheses, designing targeted tests, analyzing system logs and low-level hardware data, and distinguishing between GPU, host, firmware, interconnect, thermal, and physical hardware failures. It requires strong ownership, curiosity, and the ability to turn ambiguous problems into evidence-based conclusions and repeatable troubleshooting procedures. This is a senior systems engineering role focused on diagnosing and resolving complex hardware and platform failures in high-performance AI infrastructure. This engineer will work across Linux, GPU servers, PCIe, firmware, power, and cooling to determine the true root cause of issues that may not have an existing troubleshooting procedure. What skills we expect you to have: Minimum 5 years of hands-on systems engineering experience across Linux, server hardware, firmware, PCIe, and GPU or high-performance computing platforms. Extensive Linux experience, particularly using Linux as an environment for hardware debugging, system-level troubleshooting, and platform investigation. Knowledge of the Linux kernel and experience with kernel-level debugging or troubleshooting. Strong knowledge of modern server architecture, particularly in high-performance, GPU-based environments. Strong knowledge of NVIDIA GPU platforms and diagnostic tooling, including nvidia-smi, XID and SXID analysis, GSP and driver behaviour, NVLink, NVSwitch, Fabric Manager, DCGM diagnostics, and NCCL testing Deep knowledge of PCIe, including topology, enumeration, root complexes, endpoints, switches, bridges, retimers, link speed and width, AER and DPC errors, completion timeouts, and link failures. Candidates should understand how protocol-level errors can relate to physical-layer or signal-integrity problems. Experience benchmarking systems for performance, stability, power efficiency, thermal behaviour, and workload characteristics In depth understanding of firmware interactions across BIOS/UEFI, BMC, CPLD/FPGA, GPU firmware, NIC firmware, and other platform components. Experience with low-level hardware communication and debugging using I²C, SMBus, PMBus, register maps, bit masks, byte- and word-level data, and device datasheets. Demonstrated ability to troubleshoot complex hardware, software, and networking issues. Experience with deep problem investigation, root cause analysis, and performance optimization in cloud or high-performance computing environments. Strong analytical and problem-solving skills with a performance-first mindset. Scripting and automation using various languages (Python\Go) Key employee benefits: Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) plan: up to 4% company match with immediate vesting. Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote work reimbursement: up to $85/month for mobile and internet. Disability & life insurance: company-paid short-term, long-term and life insurance coverage. Compensation We offer a competitive salary ranging from $179,500- $224,300 + quarterly performance bonuses. Join Nebius Today! Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The Role Nebius is hiring a Senior Software Engineer to design, build, and own backend systems that power metrics, monitor large-scale infrastructure, and develop a comprehensive infrastructure maintenance platform. This role requires strong production experience, sound system design judgment, and the ability to operate and improve critical services. Your responsibilities will include: Design and build services and agents that provide deep visibility into large-scale server fleets and data center engineering systems Evolve metrics, aggregation, and alerting pipelines, with a focus on signal quality and reliability Design and operate maintenance and remediation systems that enable safe, predictable fleet-wide changes and keep infrastructure healthy Investigate production incidents hands-on, including on-host Linux debugging, and drive root-cause fixes Collaborate closely with hardware, networking, and data center operations teams to improve reliability What we expect you to have: 5+ years of professional software engineering experience Strong production experience with Python and Go, or the ability to ramp up quickly Solid Linux fundamentals and comfort debugging live systems Ability to write reliable, maintainable code and dig into complex, ambiguous problems Experience building and operating production systems at scale It will be an added bonus if you have: Ubuntu experience, including internal tooling and packaging workflows (e.g., building Debian packages) CCNA (Cisco Certified Network Associate) or equivalent networking experience Key employee benefits: Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) plan: up to 4% company match with immediate vesting. Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote work reimbursement: up to $85/month for mobile and internet. Disability & life insurance: company-paid short-term, long-term and life insurance coverage. Compensation We offer competitive salaries, ranging from $130k- $170k base + quarterly performance bonuses. Join Nebius Today! Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.