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Location: Batumi, Georgia; Tbilisi, Georgia; Antalya, Türkiye; Cluj-Napoca, Romania; Bromolla, Sweden; Bucuresti, Romania; Rome, Italy; Berat, Albania; Dubai, United Arab Emirates; istanbul, Türkiye; Istambul, Türkiye; Ankara, Türkiye; Istanbul, Türkiye; Sofia, Bulgaria; Krakow, Poland; Krosno, Poland; Lublin, Poland; Poland; Poznan, Poland; Warsaw, Poland; Porto, Portugal; Port Vila, Vanuatu; Podgorica, Montenegro; Pilsen, Czechia; Lisbon, Portugal; Riga, Latvia; Barcelona, Spain; Madrid, Spain; Tenerife, Spain; Tiraspol, Moldova, Republic of; Nicosia, Cyprus; Almaty, Kazakhstan; Astana, Kazakhstan; Athens, Greece; Baku, Azerbaijan; Belgrade, Serbia; Bratislava, Slovakia; Bucharest, Romania; Budapest, Hungary; Dnipro, Ukraine; Erevan, Armenia; Kharkiv, Ukraine; Ljubljana, Slovenia; Sarajevo, Bosnia and Herzegovina; Skopje, North Macedonia; Banská Bystrica, Slovakia; Toshkent, Uzbekistan Workplace: remote At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently looking for a dedicated Technical Support Engineer / Linux Systems Administrator to join one of our clients' teams . If you're looking for an exciting opportunity to grow in an innovative environment, this could be the perfect fit for you. Key Responsibilities Infrastructure Collaboration: Work within the technical team to administer and maintain GNU/Linux operating systems and virtualized/containerized environments (OpenVZ, KVM, Docker, etc). Web Hosting Operations: Participate in the deployment, management, and troubleshooting of industry-standard control panels (like cPanel/WHM, Plesk) within shared hosting environments. Application & Web Stack Support: Troubleshoot and optimize web applications built on common web technologies, frameworks and CMS platforms (WordPress, Laravel, etc.). Assist clients and resolve complex issues related to PHP, with knowledge of Node.js and Python stacks considered a strong plus. Network & Security Operations: Help configure and maintain network protocols, firewalls, and WAFs (ModSecurity, Imunify360). Work with the team to identify, respond to, and mitigate security incidents (malware, phishing, DoS, etc.). Mail Server Administration: Troubleshoot mail flow and deliverability issues, you are already familiar with Exim, Dovecot, SPF, DKIM, DMARC, and the use of external mail relays. Performance & DevOps: Contribute to routine service monitoring and execute performance tuning across Apache, Nginx, LiteSpeed, and database engines (mainly MySQL/MariaDB, and rarely PostgreSQL and Redis). Reliability & Migrations: Support infrastructure projects, including migration of hosting accounts, VMs, and mail systems. Assist in testing and implementing disaster recovery, backups, failovers, and caching/CDN strategies. Required Qualifications Experience: Several years of hands-on experience in the web hosting industry in both technical support and system administration. OS Mastery: Advanced proficiency in Linux system administration and troubleshooting. Familiarity with Windows Server environments (including IIS, MSSQL) for cross-platform support cases. Hosting Stacks: Deep understanding of the cPanel/WHM ecosystem, CloudLinux (LVE, CageFS, Selectors), PHP configuration, and typical shared hosting constraints and workarounds. In addition to proven expertise configuring, managing, and troubleshooting HTTP web servers (Apache, Nginx, LiteSpeed, etc.). Web Technologies: Strong grasp of web server mechanics, relational/NoSQL databases, and the ability to debug complex web apps at the server level. Networking Fundamentals: Solid understanding of TCP/IP, DNS, and network protocols. Communication: Strong ability to manage escalated support tickets and collaborate with peers to provide custom technical solutions for clients. Nice-to-Have Automation & Scripting: Proficiency in writing Bash scripts, Python utilities, and utilizing Ansible playbooks to help the team automate routine deployments and maintenance tasks. Billing & Integration: Experience with WHMCS backend architecture and custom module integrations. Hardware & Architecture: Familiarity with high-density enterprise server architectures and large-scale account consolidation workflows. Multilingual Support: Professional fluency in English is highly advantageous for internal documentation and diverse client communication.

Location: Belgrade, Serbia Workplace: Remote Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance. About this role: At Sensor Tower, we process tens of terabytes of data to power insights used by thousands of customers. We’re looking for curious, motivated engineers who want to grow their skills while helping us build fast, reliable systems that make data easy to access and understand. You’ll work closely with experienced engineers, contribute to meaningful features from day one, and learn how large-scale systems are designed, built, and optimized in production. If you enjoy learning, solving problems, and shipping real software that users rely on, we would love to meet you. Our Engineering Culture We believe that "Simplicity is a prerequisite for reliability." We are looking for engineers who align with our core values: - Simplicity: We avoid over-engineering. We prefer the tools we already have and the most straightforward solutions over "shiny new toys." - Quality: We write code that is a pleasure to read because we know code is written once but read many times. We don't cut corners, and we polish to a high level before shipping. - Extreme Ownership: We don't just do the minimum. We expect you to understand the "why" behind your work and own the ultimate goal of fixing problems at their root cause, avoiding temporary band-aids. - Prioritization: We focus relentlessly on what is important, not just what is urgent. What you’ll do: - Improving and building new features for an app market intelligence SaaS platform focused on the SMBs (AppMagic by Sensor Tower). - Participate in the full development life cycle, including design, implementation, quality polish, and release. - Work on a variety of tasks, such as parsing, data aggregation, API design, refactoring, and performance optimization. - Create and optimize complex database queries for data analysis and modification. - Perform code reviews, and suggest improvements to tools and processes. Backend stack: Golang, PostgreSQL, ClickHouse, MongoDB, Elasticsearch, RabbitMQ, GitLab, Docker, Kubernetes. What we are looking for: - +3 years of experience with Go (if you have lesser years of experience but have meaningful github contributions and other coding samples, this will be taken into consideration). - Strong SQL skills (Postgres/ClickHouse). You know when to rely on an ORM and when to write raw SQL, and you're comfortable writing and debugging complex queries. - Focusing on quality by writing testable code that simplifies debugging and ensures long-term reliability. - Ability to see the product through the user’s eyes and a passion for product excellence. - Curiosity & drive: a proactive approach to digging into sources yourself rather than relying on second-hand information, and an eagerness to understand why a project is valuable before you start coding. - Experience with CI/CD, docker, k8s as a plus. - Ability to pass technical interview both in Russian & English. - Hands-on, thoughtful use of AI tools in development. Fraud warning: It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying. To all recruitment agencies: Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: Tbilisi, Georgia Workplace: Remote Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance. About this role: At Sensor Tower, we process tens of terabytes of data to power insights used by thousands of customers. We’re looking for curious, motivated engineers who want to grow their skills while helping us build fast, reliable systems that make data easy to access and understand. You’ll work closely with experienced engineers, contribute to meaningful features from day one, and learn how large-scale systems are designed, built, and optimized in production. If you enjoy learning, solving problems, and shipping real software that users rely on, we would love to meet you. Our Engineering Culture We believe that "Simplicity is a prerequisite for reliability." We are looking for engineers who align with our core values: - Simplicity: We avoid over-engineering. We prefer the tools we already have and the most straightforward solutions over "shiny new toys." - Quality: We write code that is a pleasure to read because we know code is written once but read many times. We don't cut corners, and we polish to a high level before shipping. - Extreme Ownership: We don't just do the minimum. We expect you to understand the "why" behind your work and own the ultimate goal of fixing problems at their root cause, avoiding temporary band-aids. - Prioritization: We focus relentlessly on what is important, not just what is urgent. What you’ll do: - Improving and building new features for an app market intelligence SaaS platform focused on the SMBs (AppMagic by Sensor Tower). - Participate in the full development life cycle, including design, implementation, quality polish, and release. - Work on a variety of tasks, such as parsing, data aggregation, API design, refactoring, and performance optimization. - Create and optimize complex database queries for data analysis and modification. - Perform code reviews, and suggest improvements to tools and processes. Backend stack: Golang, PostgreSQL, ClickHouse, MongoDB, Elasticsearch, RabbitMQ, GitLab, Docker, Kubernetes. What we are looking for: - +3 years of experience with Go (if you have lesser years of experience but have meaningful github contributions and other coding samples, this will be taken into consideration). - Strong SQL skills (Postgres/ClickHouse). You know when to rely on an ORM and when to write raw SQL, and you're comfortable writing and debugging complex queries. - Focusing on quality by writing testable code that simplifies debugging and ensures long-term reliability. - Ability to see the product through the user’s eyes and a passion for product excellence. - Curiosity & drive: a proactive approach to digging into sources yourself rather than relying on second-hand information, and an eagerness to understand why a project is valuable before you start coding. - Experience with CI/CD, docker, k8s as a plus. - Ability to pass technical interview both in Russian & English. - Hands-on, thoughtful use of AI tools in development. Fraud warning: It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying. To all recruitment agencies: Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: Krakow, Poland Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance. About this role: At Sensor Tower, we process tens of terabytes of data to power insights used by thousands of customers. We’re looking for curious, motivated engineers who want to grow their skills while helping us build fast, reliable systems that make data easy to access and understand. You’ll work closely with experienced engineers, contribute to meaningful features from day one, and learn how large-scale systems are designed, built, and optimized in production. If you enjoy learning, solving problems, and shipping real software that users rely on, we would love to meet you. Our Engineering Culture We believe that "Simplicity is a prerequisite for reliability." We are looking for engineers who align with our core values: - Simplicity: We avoid over-engineering. We prefer the tools we already have and the most straightforward solutions over "shiny new toys." - Quality: We write code that is a pleasure to read because we know code is written once but read many times. We don't cut corners, and we polish to a high level before shipping. - Extreme Ownership: We don't just do the minimum. We expect you to understand the "why" behind your work and own the ultimate goal of fixing problems at their root cause, avoiding temporary band-aids. - Prioritization: We focus relentlessly on what is important, not just what is urgent. What you’ll do: - Improving and building new features for an app market intelligence SaaS platform focused on the SMBs (AppMagic by Sensor Tower). - Participate in the full development life cycle, including design, implementation, quality polish, and release. - Work on a variety of tasks, such as parsing, data aggregation, API design, refactoring, and performance optimization. - Create and optimize complex database queries for data analysis and modification. - Perform code reviews, and suggest improvements to tools and processes. Backend stack: Golang, PostgreSQL, ClickHouse, MongoDB, Elasticsearch, RabbitMQ, GitLab, Docker, Kubernetes. What we are looking for: - +3 years of experience with Go (if you have lesser years of experience but have meaningful github contributions and other coding samples, this will be taken into consideration). - Strong SQL skills (Postgres/ClickHouse). You know when to rely on an ORM and when to write raw SQL, and you're comfortable writing and debugging complex queries. - Focusing on quality by writing testable code that simplifies debugging and ensures long-term reliability. - Ability to see the product through the user’s eyes and a passion for product excellence. - Curiosity & drive: a proactive approach to digging into sources yourself rather than relying on second-hand information, and an eagerness to understand why a project is valuable before you start coding. - Experience with CI/CD, docker, k8s as a plus. - Ability to pass technical interview both in Russian & English. - Hands-on, thoughtful use of AI tools in development. Fraud warning: It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying. To all recruitment agencies: Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: United Kingdom Workplace: Remote Attio is the CRM for agentic revenue. Designed for the most ambitious go-to-market teams, it gives companies the power to understand every customer, automate at scale, and build their go-to-market motion exactly as they need. We've raised $116M from some of the world's best investors: GV (Google Ventures), Redpoint, Balderton, Point Nine, and 01A. We hire builders who thrive on complex technical challenges, hold themselves to a high bar, and genuinely care about delighting the people who use what they build. The team here brings sharp judgement, real craft, and the drive to do exceptional work. We're obsessed about the details and energized by the frontier. If you want to do the best work of your career, this is the right place. ABOUT THE ROLE Our Engineering team tackles the toughest challenges, so our users never have to. Real-time infrastructure, AI-native architecture, and a frontend that feels effortless - all powered by a team that moves fast, thinks rigorously, and holds an exceptionally high bar for quality. We’re looking for Staff Product Engineers that can solve our hardest technical problems, both individually and through technical leadership. You’ll design and build software that creates delightful, groundbreaking user experiences. You’ll play a key role in growing the talent in our engineering organization through mentoring, coaching and hiring, and you’ll resolve our most tricky product issues through an understanding of what’s important to our users and business. WHAT YOU'LL DO - Provide technical leadership for a critical part of Attio’s engineering organization. You’ll work across teams to design significant parts of our infrastructure, aligning with Attio’s overall technical strategy. You’ll hold a high bar for the output of the teams you work with, ensuring that Attio executes both quickly and with quality. - Raise the bar on how we build and operate software. You’ll be part of a technical leadership group that sets standards for how we build and operate software at Attio, ensuring that we strive to build robust and maintainable systems that are reliable, scalable and secure. - Grow our engineering talent. You’ll mentor and coach the engineers you work with, and help ensure we hire the best talent for Attio. You’ll share your knowledge and growth mindset with the team, and be open to new approaches and experiments as software engineering evolves in the age of AI. - Deliver for the business. You’ll always look to optimize for Attio’s business, ensuring that we make the right trade-offs between delivery and perfection. You’ll strive to understand our customers and users so you can deliver the experiences which are uniquely valuable to them. WHAT YOU'LL BRING - First-class technical skills. First and foremost, you’ll be an excellent technical executor, with an ability to think in systems, not just crank out code. You’ll understand the world of distributed, cloud-native systems, and intuitively create the right interfaces to allow teams to innovate in parallel. - Proven technical leadership credentials. You’ll have a track record of not just personal execution, but of delivering projects through others. You’ll be able to break down large, complex problems into smaller, independent goals that others can own. You’ll understand how technical architecture impacts ability to deliver, and to maintain systems for the long term, and be sensitive to the need to pick the right compromise. - A growth mindset. Software engineering is changing rapidly in the age of AI, and you’ll understand the need to be open-minded and to experiment. You’ll be keen to teach, and to learn from the experience of others. You’ll relish the challenge of working in an area that’s new to you, and enjoy the discomfort that leads to personal growth. - A passion for growing the skills of others. As you deliver projects through your technical leadership, you’ll be keen to grow the next generation of technical leaders. You’ll have demonstrated impact through mentoring and coaching, and be able to flex your style depending on the needs of your colleagues. You’ll also be passionate about hiring the right talent for Attio. - A focus on the product and customer. You’ll have strong opinions on what makes a great product, and a keen desire to deliver the things which generate value for Attio’s customers. You’ll be curious to learn about how our product is used in the field, and have an understanding of how to use data to ensure we’re building the right thing. WHAT WE OFFER - Competitive salary : £135K- 170K - Equity in an early-stage tech company on an incredible trajectory - 25 days holiday plus local public holidays - Apple hardware - [In the UK] Private medical insurance through AXA - [In the UK] Pension contribution through Hargreaves Lansdown - Enhanced family leave - Team off-site in fun places! (We've been to Barcelona, Lisbon, Malta, and Split so far)

Location: United Kingdom Workplace: Remote Attio is the CRM for agentic revenue. Designed for the most ambitious go-to-market teams, it gives companies the power to understand every customer, automate at scale, and build their go-to-market motion exactly as they need. We've raised $116M from some of the world's best investors: GV (Google Ventures), Redpoint, Balderton, Point Nine, and 01A. We hire builders who thrive on complex technical challenges, hold themselves to a high bar, and genuinely care about delighting the people who use what they build. The team here brings sharp judgement, real craft, and the drive to do exceptional work. We're obsessed about the details and energized by the frontier. If you want to do the best work of your career, this is the right place. ABOUT THE ROLE Our Engineering team tackles the toughest challenges, so our users never have to. Real-time infrastructure, AI-native architecture, and a frontend that feels effortless - all powered by a team that moves fast, thinks rigorously, and holds an exceptionally high bar for quality. We’re looking for a Senior Product Engineer who takes pride in pushing boundaries, obsesses over details, and wants to help reinvent how millions of people work. WHAT YOU'LL DO - Use your strong expertise in TypeScript/Node.js/GCP to move the company and product forward - Lead projects end-to-end to solve real customer problems - Architect the systems which power new features to support our high standards of performance, reliability, security and scale, and re-architect existing systems as their scaling demands grow - Design REST API contracts for both internal and external consumers that are easy to work with - Represent Attio’s Product & Engineering values both internally and externally WHAT YOU'LL BRING - Experience designing scalable, reliable, secure backend systems - Excellent knowledge of modern Cloud Native systems architecture - Expertise with Node.js and TypeScript - A track record of ownership and product delivery - A proactive, self-motivated problem solving attitude, with a strong passion for advancing and innovating in distributed systems - The ability to communicate technical ideas to the wider team and influence stakeholders across Engineering, Product and Design Nice to have: - Experience contributing to, or participating in open source projects - An interest or experience in mentoring other members of the team - Experience working with data-rich backend applications, or processing large volumes of real-time data - A love for experimenting with new ideas, tools and techniques, and exploring new technologies WHAT WE OFFER - Competitive salary of £95,000 to £125,000 - Equity in an early-stage tech company on an incredible trajectory - 25 days holiday plus local public holidays - Apple hardware - Private medical insurance through AXA - Pension contribution through Hargreaves Lansdown - Enhanced family leave - Team off-site in fun places! (We've been to Barcelona, Lisbon, Malta, and Split so far)

Location: Poland; Portugal; Ireland; Germany Workplace: Remote Attio is the CRM for agentic revenue. Designed for the most ambitious go-to-market teams, it gives companies the power to understand every customer, automate at scale, and build their go-to-market motion exactly as they need. We've raised $116M from some of the world's best investors: GV (Google Ventures), Redpoint, Balderton, Point Nine, and 01A. We hire builders who thrive on complex technical challenges, hold themselves to a high bar, and genuinely care about delighting the people who use what they build. The team here brings sharp judgement, real craft, and the drive to do exceptional work. We're obsessed about the details and energized by the frontier. If you want to do the best work of your career, this is the right place. ABOUT THE ROLE Attio is an AI-native platform trusted with our customers' most sensitive data - and keeping that data secure is foundational to everything we build. As we scale, so does the challenge: a large multi-tenant SaaS platform, AI-driven product features that introduce entirely new attack surfaces, and an engineering team shipping fast with AI-assisted development. We're looking for a Security Engineering Lead to build and lead Attio's Product Security function, spanning application security and security operations. You'll work alongside our Engineering Leadership to make Attio secure by design, lead the response when things go wrong, and recruit a world-class team of Security Engineers and SecOps practitioners. This is a rare opportunity to define how security works at a company operating at the frontier of AI. This is a hands on engineering role with team leadership responsibility over our growing product security function. You will not be responsible for GRC, we want you focussed on building.   WHAT YOU’LL DO - Build and lead Attio’s Product Security function. Secure Attio’s large-scale, AI-native SaaS platform, and the sensitive customer data on which it operates. - Work with Engineering Leadership peers to ensure that Attio is secure by design. - Understand and mitigate the unique risks and attack vectors associated with AI-driven product features, and AI-assisted software development. - Ensure that Attio is at the forefront of secure software development and operational practices. - Lead production security incident response; deeply understand security issues and their associated root causes and risks, create remediation plans, and drive to resolution. - Recruit and retain a world-class team of Security Engineers and SecOps practitioners.   WHAT YOU’LL BRING - Full understanding of the Application Security landscape in a high scale, multi-tenant SaaS context. - Appreciation of the tools and techniques used to secure SaaS applications, through prevention, detection and remediation of security issues. Understanding of how to integrate those tools into an effective, scalable, cost-efficient program that delivers a secure service. - First-class incident response skills, through the entire incident lifecycle of detection, remediation, clean-up, and post-incident corrective action. - Experience leading a team with line management. You should be a mentor who can recruit, retain and develop a high-quality Product Security team that continues to deliver for the business as Attio scales. DESIRABLE - Background in software engineering - Experience of running an Application Security program in a high scale, multi-tenant SaaS context. - Experience of hiring and managing a team of Security Engineers, and working with cross-functional partners. - Experience of security certification and re-certification programs. - Project or program management experience.   WHAT WE OFFER - Competitive salary of €120,000 to €145,000 - Equity in an early-stage tech company on an incredible trajectory - Apple hardware - Team off-site in fun places! (We've been to Barcelona, Lisbon, Malta, and Split so far) - Location specific benefits   nb. We are open to candidates currently living in: Poland, Germany, Portugal, Ireland

Location: United Kingdom Workplace: Remote Attio is the CRM for agentic revenue. Designed for the most ambitious go-to-market teams, it gives companies the power to understand every customer, automate at scale, and build their go-to-market motion exactly as they need. We've raised $116M from some of the world's best investors: GV (Google Ventures), Redpoint, Balderton, Point Nine, and 01A. We hire builders who thrive on complex technical challenges, hold themselves to a high bar, and genuinely care about delighting the people who use what they build. The team here brings sharp judgement, real craft, and the drive to do exceptional work. We're obsessed about the details and energized by the frontier. If you want to do the best work of your career, this is the right place. ABOUT THE ROLE Attio is an AI-native platform trusted with our customers' most sensitive data - and keeping that data secure is foundational to everything we build. As we scale, so does the challenge: a large multi-tenant SaaS platform, AI-driven product features that introduce entirely new attack surfaces, and an engineering team shipping fast with AI-assisted development. We're looking for a Security Engineering Lead to build and lead Attio's Product Security function, spanning application security and security operations. You'll work alongside our Engineering Leadership to make Attio secure by design, lead the response when things go wrong, and recruit a world-class team of Security Engineers and SecOps practitioners. This is a rare opportunity to define how security works at a company operating at the frontier of AI. This is a hands on engineering role with team leadership responsibility over our growing product security function. You will not be responsible for GRC, we want you focussed on building.   WHAT YOU’LL DO - Build and lead Attio’s Product Security function. Secure Attio’s large-scale, AI-native SaaS platform, and the sensitive customer data on which it operates. - Work with Engineering Leadership peers to ensure that Attio is secure by design. - Understand and mitigate the unique risks and attack vectors associated with AI-driven product features, and AI-assisted software development. - Ensure that Attio is at the forefront of secure software development and operational practices. - Lead production security incident response; deeply understand security issues and their associated root causes and risks, create remediation plans, and drive to resolution. - Recruit and retain a world-class team of Security Engineers and SecOps practitioners.   WHAT YOU’LL BRING - Full understanding of the Application Security landscape in a high scale, multi-tenant SaaS context. - Appreciation of the tools and techniques used to secure SaaS applications, through prevention, detection and remediation of security issues. Understanding of how to integrate those tools into an effective, scalable, cost-efficient program that delivers a secure service. - First-class incident response skills, through the entire incident lifecycle of detection, remediation, clean-up, and post-incident corrective action. - Experience leading a team with line management. You should be a mentor who can recruit, retain and develop a high-quality Product Security team that continues to deliver for the business as Attio scales. DESIRABLE - Background in software engineering - Experience of running an Application Security program in a high scale, multi-tenant SaaS context. - Experience of hiring and managing a team of Security Engineers, and working with cross-functional partners. - Experience of security certification and re-certification programs. - Project or program management experience. WHAT WE OFFER - Competitive salary of £120,000 to £150,000 - Equity in an early-stage tech company on an incredible trajectory - 25 days holiday plus local public holidays - Apple hardware - Private medical insurance through AXA - Pension contribution through Hargreaves Lansdown - Enhanced family leave - Team off-site in fun places! (We've been to Barcelona, Lisbon, Malta, and Split so far)

Location: London Workplace: Hybrid Attio is the CRM for agentic revenue. Designed for the most ambitious go-to-market teams, it gives companies the power to understand every customer, automate at scale, and build their go-to-market motion exactly as they need. We've raised $116M from some of the world's best investors: GV (Google Ventures), Redpoint, Balderton, Point Nine, and 01A. We hire builders who thrive on complex technical challenges, hold themselves to a high bar, and genuinely care about delighting the people who use what they build. The team here brings sharp judgement, real craft, and the drive to do exceptional work. We're obsessed about the details and energized by the frontier. If you want to do the best work of your career, this is the right place. ABOUT THE ROLE Attio is an AI-native platform trusted with our customers' most sensitive data - and keeping that data secure is foundational to everything we build. As we scale, so does the challenge: a large multi-tenant SaaS platform, AI-driven product features that introduce entirely new attack surfaces, and an engineering team shipping fast with AI-assisted development. We're looking for a Security Engineering Lead to build and lead Attio's Product Security function, spanning application security and security operations. You'll work alongside our Engineering Leadership to make Attio secure by design, lead the response when things go wrong, and recruit a world-class team of Security Engineers and SecOps practitioners. This is a rare opportunity to define how security works at a company operating at the frontier of AI. This is a hands on engineering role with team leadership responsibility over our growing product security function. You will not be responsible for GRC, we want you focussed on building. WHAT YOU’LL DO - Build and lead Attio’s Product Security function. Secure Attio’s large-scale, AI-native SaaS platform, and the sensitive customer data on which it operates. - Work with Engineering Leadership peers to ensure that Attio is secure by design. - Understand and mitigate the unique risks and attack vectors associated with AI-driven product features, and AI-assisted software development. - Ensure that Attio is at the forefront of secure software development and operational practices. - Lead production security incident response; deeply understand security issues and their associated root causes and risks, create remediation plans, and drive to resolution. - Recruit and retain a world-class team of Security Engineers and SecOps practitioners. WHAT YOU’LL BRING - Full understanding of the Application Security landscape in a high scale, multi-tenant SaaS context. - Appreciation of the tools and techniques used to secure SaaS applications, through prevention, detection and remediation of security issues. Understanding of how to integrate those tools into an effective, scalable, cost-efficient program that delivers a secure service. - First-class incident response skills, through the entire incident lifecycle of detection, remediation, clean-up, and post-incident corrective action. - Experience leading a team with line management. You should be a mentor who can recruit, retain and develop a high-quality Product Security team that continues to deliver for the business as Attio scales. DESIRABLE - Background in software engineering - Experience of running an Application Security program in a high scale, multi-tenant SaaS context. - Experience of hiring and managing a team of Security Engineers, and working with cross-functional partners. - Experience of security certification and re-certification programs. - Project or program management experience. WHAT WE OFFER - Competitive salary of £120,000 to £150,000 - Equity in an early-stage tech company on an incredible trajectory - 25 days holiday plus local public holidays - Apple hardware - Private medical insurance through AXA - Pension contribution through Hargreaves Lansdown - Enhanced family leave - Team off-site in fun places! (We've been to Barcelona, Lisbon, Malta, and Split so far)

Location: Москва Мы создаем AI-продукты, которые трансформируют работу маркетинга: от анализа исследований и клиентских инсайтов до интеллектуального копайлота, помогающего маркетологам работать с данными, документами, контентом и креативами. Если вам интересно не просто подключать LLM по API, а понимать, как устроены современные AI-системы, проектировать их архитектуру и превращать возможности моделей в работающие продукты, — присоединяйтесь к нашей команде. Обязанности * разрабатывать AI-сервисы: от прототипа и выбора подхода до интеграции в существующий технологический ландшафт * проектировать взаимодействие LLM с инструментами, данными, API и другими сервисами * развивать AI-копайлота для маркетинга: работу с документами и презентациями, генерацию контента, поиск и анализ информации * исследовать новые LLM, существующие фреймворки и инструменты и определять, где они могут дать практический эффект в продукте * проектировать подходы к оценке качества AI-систем, проводить эксперименты и улучшать решения на основе результатов * участвовать в проектировании архитектуры AI-продуктов и агентных систем на базе современных LLM. Требования * высшее образование * опыт разработки на Python и опыт промышленной разработки AI/ML-систем от 3х лет * глубокое понимание того, как устроены современные LLM-системы: inference, context management, tool/function calling, structured output, caching, embeddings, RAG и agentic workflows * хорошее понимание system design: архитектуры современных приложений и сервисов, интеграционных паттернов, API, очередей, хранилищ, кэширования и подходов к построению систем * практический опыт создания продуктов и сервисов на базе LLM * опыт интеграции LLM в существующие системы и работы с внешними и внутренними API * опыт работы с векторным поиском и базами данных (Elastic, Chroma, Weaviate или аналоги) * навыки работы с LLM serving engines (vLLM, ollama, sglang) * понимание подходов к evaluation LLM-систем и способность превращать субъективное «работает хорошо» в измеримые критерии качества * особенно важно продуктовое мышление: способность работать с разного уровня проработки требованиями, самостоятельно прорабатывать детали решения, предлагать варианты реализации, быстро проверять гипотезы и вместе с владельцем продукта находить объективные критерии качества AI-продукта Будет плюсом: * опыт создания AI-ассистентов, копайлотов или агентных систем для B2B/enterprise-сценариев * опыт работы с LangGraph, LangChain, LlamaFactory, Unsloth или аналогичными инструментами * понимание маркетинговых процессов и задач маркетинга * публикации, open-source или собственные AI-проекты. Условия * гибридный формат работу, офис на Кутузовском д.32 * ежегодный пересмотр зарплаты, годовая премия * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера.

Location: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE We are looking for a Software Engineer to join our Control Team in London. You will own how we measure control quality - per robot and across the fleet. Today, judging whether a change made the robot better is still too often an engineer's opinion after a few runs. You will replace that with numbers: reproducible, automated, trusted numbers that say whether a release is better than the last one, whether one robot behaves like another, and whether a fleet is ready for a pilot. This is a software engineering role, not a control design role. You do not need to derive a whole-body controller. You do need real robotics experience, strong engineering discipline, and genuine interest in the physics of what you are measuring - the control engineers bring the theory and will rely on you to tell them the truth about their code. WHAT YOU'LL DO Control Quality Metrics - Turn qualitative concerns about control quality - smoothness, latency, tracking error, accuracy, and the like - into precise, computable metrics, and build the pipelines that compute them consistently from recorded robot data, simulation runs and live telemetry. - Own metric definitions and versioning so a number measured today is comparable with the same number measured six months from now. Evaluation & Test Infrastructure - Develop automated test harnesses that evaluate control releases deterministically - reproducible, run-to-run comparable, free of the hidden state that makes hardware testing unreliable. - Wire control evaluation into CI across simulation and hardware-in-the-loop, with pass/fail thresholds so regressions are caught automatically rather than discovered on a customer site. - Build the tooling that lets engineers compare controller variants and releases side by side. Fleet-Level Control Quality - Build the per-robot and per-fleet test suites that establish whether each robot meets the expected control performance bar - runnable by other teams without controls support. - Track control quality over time and across units - drift, per-robot variation, degradation - and own the path from robot to metric, including the dashboards that make control health legible. WHAT WE'RE LOOKING FOR - Robotics experience on real systems - you understand robot data, timing and synchronisation, and the many ways hardware experiments go wrong. - Strong Python, plus enough modern C++ to work confidently inside a real-time control codebase and instrument it. - Built test automation, evaluation frameworks or benchmarking infrastructure for complex systems - and got other engineers to actually use them. - Solid measurement and data analysis judgement: sampling, noise, statistical significance, and knowing when a difference between two runs is real. - Experience with robot middleware and data formats (ROS/ROS2, message recording and replay, time sync), CI/CD pipelines and Git-based workflows. Nice to have: - Familiarity with robot kinematics and dynamics, or prior exposure to control systems — enough to hold an informed conversation about what you are measuring. - Hardware-in-the-loop test rigs and physical regression testing. - Physics simulation environments (MuJoCo, Isaac Sim/Isaac Lab) and sim-to-real validation. - Operating or supporting a fleet of robots or other distributed physical devices. - Data engineering: pipeline orchestration, time-series databases, large-scale log processing. - Release management or quality gates for safety-relevant software. WHAT WE OFFER - Competitive equity: stock options with meaningful upside as we scale. - 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown). - Private healthcare, including virtual and in-person care. - Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in-office. - Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. - Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

Обзор проекта: Торговая платформа для активных трейдеров. Задачи: • Интегрировать смарт-контракты; • Разрабатывать API для блокчейн-сетей; • Настраивать кошельки; • Разрабатывать фронтенд для dApp. Требования: • Опыт коммерческой разработки от 8 лет; • Глубокое понимание full-stack разработки и архитектуры; • Опыт работы в Web3-проектах; • Способность самостоятельно принимать решения и превращать бизнес-задачи в готовые решения без детализированного ТЗ; • Опыт работы с Claude Code / Codex / Cursor / аналогами для написания кода на основе ИИ; • Навыки создания собственных AI-агентов и многокомпонентных рабочих процессов; • Английский — Proficient. Условия: • Оформление: ИП или самозанятость; • Налоги покрываются компанией; • Бенефиты: ДМС, оплачиваемый отпуск.

Location: San Francisco; New York Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE Forward Deployed Engineers work directly with the largest and fastest-growing AI companies in the world, owning their technical outcomes on Baseten and taking on the hardest problems in serving and improving models at scale. The work spans the model lifecycle: inference, post-training, and the systems that tighten the loop between them. - Act as each account's de facto CTO on Baseten, with final accountability for how their workloads are designed, run, and scaled. - Take customer objectives from vague to shipped: frame the problem, define the spec and success criteria, build the PoC, and carry it through to production quickly, using the right tools for the problem. - Design the evals and benchmarks that isolate where quality or performance falls short, then close the gap yourself, whether that means optimizing inference, improving the model through post-training, or reworking the eval itself. - Be the first responder to mission-critical failures including triage, owning the fix directly or route to the owning team and stay accountable until it ships. - Build internal systems so that each engagement is faster than the last. This includes tooling and automation for eval and deployment infrastructure, and the recipes and reference implementations that make the product more self-serve. - Shape the product itself, channeling what your accounts need into the roadmap and shipping fixes and features into Baseten's codebase yourself. - Do all of this across multiple accounts at once, sequencing the work, pulling in the right people at the right time, and keeping customers and internal stakeholders aligned on status and risk. REQUIREMENTS - Minimum 1-2 years of software engineering experience, shipping and maintaining code in large production systems, ideally with breadth across the stack - Experience debugging complex production issues - working through logs, metrics, and traces to root-cause problems in unfamiliar systems - Confidence owning ambiguous technical problems. This includes triaging, making decisions under uncertainty, and knowing when to pull in other engineers who own the underlying systems - Motivation beyond pure engineering. An interest in wanting to work directly with customers, understand their problems firsthand, and influence the product - Clear communication on complex technical topics, whether you're talking to a customer's engineers or their leadership - Genuine curiosity about AI inference and training, and a drive to become an expert in the infrastructure powering it - Willingness to respond to customers outside regular working hours and participate in an on-call rotation - Excitement about solving problems for some of the largest and fastest-growing companies in the world running mission-critical AI workloads WHAT YOU'LL BRING We don't expect any one person to cover all of this - the strongest candidates may spike in one or two of the following: - Depth in a core infrastructure domain such as storage systems or networking (anywhere from the cloud layer to cluster interconnects like InfiniBand and RoCE) - Experience operating distributed compute platforms like Kubernetes, Slurm, or Ray, especially for GPU workloads - A detailed understanding of LLM architectures and modern inference engines like vLLM, TensorRT-LLM, or SGLang - The ability to profile and optimize GPU workloads, in training or serving - Hands-on experience with post-training techniques like SFT and RL, or a broader deep learning background plus fluency in a tensor computation library like PyTorch or JAX - Operational depth - running on-call, leading incident response, debugging distributed systems under pressure BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: San Francisco Bay Area, USA Workplace: Hybrid WHY WORK AT HIGGSFIELD AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands.   We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like. ABOUT THE ROLE We're looking for exceptional Machine Learning Engineers focused on Ads to help take Higgsfield's advertising platform to the next level. You'll work at the intersection of large-scale machine learning, generative AI, and advertising systems—building the models and infrastructure that determine how creative is generated, ranked, optimized, and ultimately performs. This role is for someone who understands ads systems deeply and is equally strong in modern generative AI. You should be comfortable moving across ranking and recommendation, targeting and optimization, prompt engineering, post-training, and production ML systems. You'll help define what an AI-native advertising platform looks like from the ground up. WHAT YOU'LL DO: - Build and improve ML systems powering advertising products, including ranking, recommendation, targeting, prediction, and optimization. - Develop models that improve ad creative quality, relevance, personalization, and performance at scale. - Build systems that connect generative models with real-world advertising performance signals, creating feedback loops that continuously improve model outputs. - Apply prompt engineering and post-training techniques to improve generative models for advertising and creative use cases. - Work on fine-tuning, preference optimization, evaluation, and other techniques for adapting foundation models to specific creative and advertising objectives. - Design and run experiments across creative generation, ranking, targeting, and delivery to understand what drives advertiser performance. - Build production ML systems that operate reliably at significant scale, from experimentation through inference and serving. - Work closely with Product, Research, Engineering, and GTM teams to turn advances in generative AI into products advertisers can use. REQUIREMENTS - Deep experience building machine learning systems for advertising. - Strong understanding of ads systems, including areas such as ranking, recommendation, targeting, bidding, conversion prediction, creative optimization, or measurement. - Hands-on experience with LLMs, multimodal models, or generative AI systems. - Strong experience with prompt engineering and model evaluation. - Experience with post-training, including techniques such as supervised fine-tuning, preference optimization, reinforcement learning, or related approaches. - Strong software engineering fundamentals and experience shipping production ML systems. - Ability to operate across research and engineering: you can experiment quickly, identify what works, and turn it into a scalable production system. - High agency. - Working English. NICE TO HAVE - Experience building ads, ranking, or recommendation systems at a major consumer, social, search, or advertising platform. - Experience with generative video, image, or multimodal models. - Experience using downstream signals such as CTR, CVR, ROAS, engagement, or retention to train or optimize ML systems. - Experience with large-scale model training, inference optimization, or distributed ML infrastructure. - Experience building AI systems that generate or optimize advertising creative. COMPENSATION & BENEFITS • We offer a competitive and thoughtfully structured compensation package designed to align with impact, experience, and long-term growth. • Base Salary: The anticipated salary range for this role is $165 - $230k, depending on experience, skills, scope, and location. • Equity: In addition to cash compensation, employees are eligible to participate in the company’s stock option program and share in Higgsfield’s long-term growth. • • Benefits: We offer a comprehensive benefits package designed to support employees professionally and personally • The opportunity to work on ambitious AI products alongside a highly experienced, fast-moving, and international team. • Significant ownership, direct impact, and opportunities for professional growth as the company scales.   This is a hybrid role based in the San Francisco Bay Area. Team members are expected to work from our San Francisco office three full days per week, with the remaining days worked remotely and are expected to be available during agreed working hours and to maintain sufficient overlap with the relevant team’s time zone. We value in-person collaboration, active communication, responsiveness, and close partnership across teams. Higgsfield AI is an equal opportunity employer. We are committed to building a diverse and inclusive team and do not discriminate on the basis of race, color, religion, sex, gender identity or expression, sexual

Location: London, UK; San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Our mission on the Connectivity team is to make Claude the most connected AI. As agents take on more real-world work, we're taking a leading role in defining how they get access to external systems — safely, with the right permissions, and in ways enterprises can trust. We ship standards and services used by claude.ai, Claude Code, Cowork, and the API. We own the MCP proxy that routes every tool call and the OAuth and token management that keeps connections authenticated. We're also core contributors to the MCP spec — now an open standard under the Linux Foundation — and maintain the official Python and TypeScript SDKs. We're looking for experienced software engineers to join Connectivity. The team spans San Francisco and London, and you'll work closely with partner teams across Anthropic to deliver impact across all of our products. You'll work on problems where reliability and enterprise trust are critical. This means OAuth at scale, admin controls that let IT govern what agents can do, and proxy infrastructure that is reliable by default. What you'll do You'll design, build, and operate the core connectivity infrastructure behind external tool calls — the MCP proxy and the OAuth and token management systems that keep connections authenticated. You'll own reliability for infrastructure that other teams and external partners depend on, including SLOs, on-call, incident response, and postmortems. You'll build the admin controls and permission models that let enterprise IT govern what agents can do, and contribute to the MCP standard and its ecosystem, including the spec and the official Python and TypeScript SDKs. You'll turn ambiguous outcomes into shipped, scoped work, dogfooding what you build in the products that consume it. You'll independently scope complex, multi-month projects, drive cross-org alignment through ambiguous problem spaces, and make architectural decisions that shape how Anthropic builds and scales its products. You'll partner directly with research to productize cutting-edge capabilities, and will have lasting impact on the platform that hundreds of thousands of companies and internal/external engineers depend on every day. You might be a good fit if you: Experience as a backend or platform engineer Familiarity with using AI tools as part of the software development process Take a product-focused approach to platform work and care about building solutions that are robust, scalable, and easy to use Take full ownership of your work — from design through build, deployment, and operations, to iterating on and improving your product Can navigate ambiguity and make sound technical decisions independently, and have ideally operated in both 0 → 1 and more mature team or company settings Experience operating production distributed systems, with an understanding of what reliability, observability, and incident response require at scale Excellent communication skills, with the ability to build consensus across teams and time zones Deadline to apply: None. Applications will be reviewed on a rolling basis. Location Preference: Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team. 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: San Francisco, CA | New York City, NY | Seattle, WA 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 build and run the secure execution environment behind Claude's agentic capabilities. When Claude writes and runs code, browses the web, or uses a computer, that happens on infrastructure our team owns. We work at the intersection of systems engineering and security. The goal is to make untrusted code execution safe, fast, and reliable enough that product teams don't have to think about it. This is the layer between the model and the outside world, and it has to hold up at scale for every Anthropic product. We're hiring engineers who have experience building for containerized workloads and have a keen eye for building products used by millions of customers. What you'll do You'll independently scope complex, multi-month projects, drive cross-org alignment through ambiguous problem spaces, and make architectural decisions that shape how Anthropic builds and scales its products. You'll partner directly with research to productize cutting-edge capabilities, and will have lasting impact on the platform that hundreds of thousands of companies and internal/external engineers depend on every day. You might be a good fit if you: Have a minimum of 8 years of practical experience as a backend or platform engineer building scalable distributed systems, ideally operating at tech lead level or equivalent distributed systems, cloud-native products, developer tools, or external developer facing products Have strong fundamentals in service-oriented architectures, networking, and systems design, ideally having owned both the technical vision and execution of a foundational platform system end to end Are proficient in Python, Go, Rust, or similar systems languages Have experience with cloud infrastructure (GCP, AWS, or Azure), container orchestration (Kubernetes), and/or multi-cloud networking Take full ownership of your work—from design through deployment and operations Can navigate ambiguity and make sound technical decisions independently, and have ideally operated in 0 to 1 and more mature team or company settings Take a product-focused approach to platform work and care about building solutions that are robust, scalable, and easy to us Deadline to apply: None. Applications will be reviewed on a rolling basis. Location Preference: Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team. 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: Warsaw, Poland Introduction Dentons Business Services EMEA in Warsaw is the operational backbone of Dentons, supporting the world's largest law firm in delivering exceptional service to clients across Europe, the Middle East, and Africa. As a crucial component of Dentons' global network, our EMEA business services team plays a key role in driving efficiency, innovation, and collaboration. At Dentons Business Services EMEA, we are committed to excellence in supporting legal professionals with cutting-edge solutions. Our dynamic and diverse team collaborates seamlessly to provide a wide range of services, including finance, IT, human resources, marketing, and more. We pride ourselves on fostering a culture of continuous improvement and adaptability. Role overview We are currently seeking a Second Line Support Engineer to provide IT support to internal customers throughout the UK and the Middle East. The 2nd Line Engineer is an experienced and integral member of the 2nd Line Support Team. This individual demonstrates exceptional attention to detail, a strong sense of ownership, professionalism, and is focused on resolving complex technical issues. The role requires proficiency with internal processes, procedures, and technologies relevant to their scope of work. Acting as a key escalation point, the 2nd Line Engineer bridges communication between the Service Desk and 3rd Line Engineers. Additionally, they provide guidance and support to less experienced Service Desk staff and are capable of working independently with minimal supervision. The successful candidate is responsible for delivering assigned tasks and projects within agreed timelines and quality standards. They actively participate in technical initiatives and knowledge sharing across the team. Responsibilities Provide second line technical support by handling assigned tickets and escalated cases from Service Desk Specialists, 3rd Line Engineers, Team Leaders, or stakeholders. Analyze user problems or inquiries that were previously managed by 1st Line support and remain unresolved. Ensure thorough follow-through to resolution within agreed Service Level Agreements (SLAs). Deliver excellent customer service, enabling users to continue working effectively. Instill customer confidence by demonstrating understanding of their issues, maintaining prompt communication, and driving issues to satisfactory resolution. Perform root cause analysis where possible and collaborate with other teams to suggest satisfactory problem resolutions. Support users across Microsoft cloud technologies, including Microsoft 365, Azure Active Directory (Entra ID), Exchange Online, and Azure Virtual Desktop (AVD). Propose changes and service improvements as needed. Stay informed about changes within the IT environment. Adhere to local and regional IT operational standards. Contribute to the Knowledge Base by creating new articles and updating existing ones. Work assigned shifts between 08:00–24:00, with the flexibility to work from home or office. Requirements Technical Skills Advanced understanding of IT principles, including hardware, software, networking, security, virtualization, cloud computing, and mobile devices. Proficient in troubleshooting Windows 11, Active Directory, Azure Active Directory (Entra ID), Outlook/Exchange Online, VPN technologies, Azure Virtual Desktop (AVD), virtual machine solutions, and remote support tools. Experience supporting Microsoft 365 services such as Teams, SharePoint Online, and OneDrive. Basic awareness of Microsoft Intune and Azure environments is advantageous. PowerShell scripting and Windows Server Administration are desirable skills. Experience working with applications used by legal firms, including time capture, document comparison, and legal information systems. Knowledge of PC hardware setup and configuration, including printers and wireless devices. Personal Skills & Attributes Excellent spoken and written English skills (desired C1/C2 level). High level of empathy, professionalism, and diplomacy. Strong team-working skills with a positive, “can-do” attitude. Good organizational and prioritization skills. High attention to detail. Task and resolution-oriented mindset. Willingness to develop further and grow within the IT industry. Minimum of 1–2 years of experience in a corporate IT environment, such as Help Desk, Service Desk, or Desktop Support. Desirable Certifications and Knowledge Microsoft certifications such as MS-900: Microsoft 365 Fundamentals, AZ-900: Microsoft Azure Fundamentals, and MD-102: Endpoint Administrator Associate. Familiarity with ITIL principles and service management practices. Benefits Private medical healthcare provided by Medicover MultiSport card Benefit Cafeteria system Option to join a private insurance plan An additional day off for your birthday Tailored learning & development opportunities Hybrid work model with a modern office in Warsaw city center