Вакансии

Location: Dubai, United Arab Emirates; Riyadh, Saudi Arabia; Cairo, Egypt; Casablanca, Morocco; Delhi, India Müller’s Solutions is looking for an experienced Big Data Engineer to join our innovative team. In this role, you will be responsible for designing and developing scalable big data solutions that enable advanced analytics and insights across the organization. You will work with large data sets and utilize cutting-edge technologies to ensure data processing is efficient and reliable. Key Responsibilities: Design, build, and maintain scalable data pipelines using big data technologies such as Apache Spark, Hadoop, and Kafka. Collaborate with data scientists, analysts, and IT teams to identify data requirements and deliver solutions that meet business needs. Ensure high data quality and integrity by implementing robust data validation and testing processes. Optimize data storage solutions for performance and cost-efficiency across cloud and on-premises environments. Monitor and troubleshoot data processing workflows to ensure timely data delivery. Document data architectures, processes, and workflows for knowledge sharing and compliance. Stay ahead of industry trends and best practices in big data technologies and methodologies. Requirements Requirements: Bachelor's degree in Computer Science, Information Technology, or a related field. 3+ years of experience as a Big Data Engineer or in a similar data engineering role. Proficiency in big data technologies such as Apache Spark, Hadoop, and Apache Kafka. Strong coding skills in programming languages like Java, Scala, or Python. Familiarity with data processing frameworks and ETL tools. Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and data storage solutions (e.g., HDFS, S3, BigQuery). Analytical mindset and excellent problem-solving abilities. Strong communication skills to collaborate effectively with technical and non-technical stakeholders. A self-motivated and proactive approach to work, with the ability to manage multiple tasks and deadlines. Preferred Qualifications: Experience with machine learning frameworks and algorithms is a plus. Knowledge of data governance and security best practices. Familiarity with containerization technologies and orchestration tools like Docker and Kubernetes. Benefits 1- Attractive Package. 2- Family Benefits. 3- Visa. 4-Air Tickets.

Задачи: — Разработка на Go и Rust в рамках распределенных систем и микросервисов. — Проектирование и внедрение высоконагруженных систем. — Работа с Docker, Kubernetes, CI/CD. — Взаимодействие с базами данных PostgreSQL и Redis. — Взаимодействие с бизнесом и стейкхолдерами. Требования: — Глубокие знания Rust и/или Go, опыт создания высоконагруженных систем. — Опыт контрибьюта в опенсорсные проекты со ссылками на коммиты. — Уверенное владение Docker, Kubernetes, CI/CD. — Опыт работы с PostgreSQL, Redis. — Опыт проектирования распределенных систем, микросервисов. Условия: — Оформление по ТК РФ или ИП. — Удаленная работа. — Возможность внести значительный вклад в развитие продукта.

Location: Noida, India Workplace: hybrid TeamViewer provides a leading Digital Workplace platform that connects people with technology—enabling, improving and automating digital processes to make work work better. Our software solutions harness the power of AI and shape the future of digitalization. We believe that our diverse teams and strong company culture are key to the success of our products and technologies, that hundreds of millions of users around the world and around 645,000 customers across all industries rely on. With more than 1,900 employees worldwide, we celebrate the unique perspectives and talents that each individual brings to the table and foster a dynamic work environment where new ideas thrive. Are you ready to join our team and make an impact? The TeamViewer ONE platform is focused on small and medium businesses and finds and resolves IT issues before they affect users. Over the past several years we have successfully built and released products which makes IT administrators' day-to-day life easier. Our vision is to become THE autonomous endpoint management solution for our customers. Responsibilities: We’re looking for a Senior/ Staff Software Engineer to play a key role in supporting and enhancing our TeamViewer ONE capabilities, trusted by small and medium business customers. In this role, you’ll be essential to maintaining and improving the experience for our existing customers, while helping evolve our User Experience and SaaS cloud platform.  You will also bring in expertise in using technologies - like React, Typescript, Javascript, CSS, Open API, Redux, Webpack. As part of an agile team, you’ll contribute as an individual contributor, working primarily with Typescript, react to enhance our product TeamViewer ONE, which will run as containerized services on Kubernetes. You will be expected to guide and mentor other team members. Build services for our TeamViewer ONE solution, by enabling the platform and clients, to derive insights Design and develop new functionality and components for our software using coding languages but not limited to JavaScript, React, Typescript, CSS3 Collaborate with front-end engineers, backend engineers and quality assurance engineers to design optimum solutions, balancing performance, costs and long-term maintainability Continuously integrate, build and deploy our solution from test system to production Design, implement and consume common APIs based on architecture guidelines and frameworks Design UI-components and autogenerate them based on defined schemes Design and build usage behavior events into our frontend Create UI test cases with cypress testing framework Optimize and enhance our software with new, efficient algorithms and state-of-the-art software tools and technologies Work independently on solutions for specified requirements and be responsible for complying with time and quality specifications Ensure that our software is secure, stable, scalable and runs efficiently Monitor the latest technical developments in your field and make proposals for improvement Guide and assist other team members in engineering topics relevant for the team Coach & mentor other members in the team Act as an advisor for product managers (feasibility studies and time estimates for new functionality to be implemented) Communicate with customers to analyze & fix product defects and during major implementations Requirements: A university or college degree in the field of information technology, computer science or a related subject or relevant work experience 9+ years of professional experience in the field of software development Solid knowledge of Typescript, JavaScript, HTML, CSS is mandatory Solid knowledge of JavaScript frameworks and tools like React, Redux, Webpack, etc. Strong focus on accessibility and performance, with the ability to validate that solutions operate efficiently under increasing workloads and as a distributed system Must have experience in any of the unit test frameworks Experience in cypress UI test framework Experience in Java, C# or C++ is a plus Experience in Kubernetes, Docker, Kafka, Argo CD, Azure/AWS/GCP services (like AKS, Redis, Key Vault, Event Hub, Service Bus, SQL MI, etc.) is a plus Experience in taking architectural decisions about the development and maintenance of large-scale distributed systems and integrations with applications and user interfaces Understanding of Clean Code and Design Patterns for object-orientated programming Familiarity with AI tools for coding (like Github Co-pilot or Cursor) is a plus Familiarity with concepts of end-user-computing, log analysis, anomaly detection & correlation is a plus A positive and solution-oriented mindset paired with a structured and analytical way of thinking/working, being a team player, as well as motivated to learn new things Fluency in English is mandatory, further languages like Portuguese are a plus TeamViewer is an equal opportunities employer and is committed to building an inclusive culture where everyone feels welcome and supported. We C-A-R-E and understand that our diverse, values-driven culture makes us stronger. As we continue to grow as a company, we also focus on enabling our employees to grow both personally and professionally. We are proud to have an open and embracing workplace environment that will empower you to be your best no matter your gender, civil or family status, sexual orientation, religion, age, disability, education level, or race.

Location: Riyadh, Saudi Arabia; Cairo, Egypt; Dubai, United Arab Emirates; Casablanca, Morocco; New Delhi, India Müller’s Solutions is seeking a talented Google Cloud Engineer to join our innovative team. In this position, you will focus on designing, implementing, and managing our Google Cloud Platform (GCP) infrastructure and services. You will work to ensure optimal performance, security, and scalability of our applications hosted in the cloud while collaborating with cross-functional teams to drive cloud initiatives and enhance our cloud capabilities. Key Responsibilities: Design, deploy, and manage GCP resources, including Compute Engine, Cloud Storage, and other related services. Implement Infrastructure as Code (IaC) using tools such as Terraform or Google Deployment Manager. Oversee the configuration and management of virtual private cloud (VPC) networking and shared services. Build and maintain CI/CD pipelines to automate deployment and operational processes. Monitor and optimize GCP performance, including resource utilization and cost management. Implement robust security practices across GCP resources, ensuring compliance with industry standards. Integrate GCP services with existing systems and applications through APIs and cloud functions. Collaborate with DevOps teams to streamline workflows and support development processes. Prepare and maintain architecture documentation, operational procedures, and best practices guidelines. Provide technical support to resolve issues and enhance system performance in the GCP environment. Requirements Requirements: Bachelor's degree in Computer Science, Information Technology, or a related field. 3+ years of experience in cloud engineering or architecture, specifically within Google Cloud Platform. Deep understanding of GCP services, including App Engine, Cloud Functions, Cloud Run, and Kubernetes Engine. Proficiency in scripting and programming languages such as Python, Golang, or Java. Experience with containerization and orchestration technologies such as Docker and Kubernetes. Familiarity with networking concepts and security practices in cloud environments. Strong analytical and troubleshooting skills with attention to detail. Effective communication skills for collaboration and presenting technical information clearly. Preferred Qualifications: Google Cloud certifications (e.g., Google Cloud Professional Cloud Architect or Google Cloud Professional DevOps Engineer) are preferred. Experience in implementing CI/CD pipelines using tools like Google Cloud Build, Jenkins, or similar services. Knowledge of monitoring and logging tools such as Stackdriver or Prometheus. Understanding of DevOps methodologies and practices. Benefits 1- Attractive Package. 2- Family Benefits. 3- Visa. 4-Air Tickets.

Location: Riyadh, Saudi Arabia; Cairo, Egypt; Delhi, India; Dubai, United Arab Emirates; Casablanca, Morocco Müller’s Solutions is on the hunt for a skilled Google Cloud Architect to lead our cloud strategy initiatives and design innovative solutions using Google Cloud Platform (GCP). In this crucial role, you will be responsible for developing scalable, secure, and efficient cloud architectures that meet business requirements while guiding teams on best practices in cloud implementation and governance. Key Responsibilities: Design and architect scalable, reliable, and cost-effective GCP solutions aligned with business objectives. Collaborate with stakeholders to gather requirements and translate them into technical solutions leveraging GCP services. Develop and implement standards, guidelines, and best practices for GCP architectures across the organization. Lead migration efforts of existing applications and systems to GCP, ensuring best practices around security and compliance are followed. Conduct cloud readiness assessments and application architecture evaluations to identify needed improvements. Oversee the integration of cloud services with on-premises components or external platforms as necessary. Advise on cloud strategies, best practices, and industry trends to senior management and technical teams. Provide technical leadership and mentorship to engineering teams, promoting cloud-native development methodologies. Build and maintain documentation for cloud solutions, architectures, and processes. Engage with vendor management to evaluate and select relevant cloud services and tools. Requirements Requirements: Bachelor's degree in Computer Science, Information Technology, or a related field. 5+ years of experience in cloud architecture, with a strong focus on Google Cloud Platform. Proven experience in designing and implementing complex architectures on GCP, including compute, storage, and networking. Deep understanding of GCP services and capabilities, including BigQuery, Cloud Functions, and Kubernetes Engine. Expertise in Infrastructure as Code (IaC) practices using tools like Terraform or Cloud Deployment Manager. Strong knowledge of cloud security principles and best practices for governance and compliance. Excellent communication and collaboration skills to work effectively with diverse teams and stakeholders. Strong problem-solving skills and the ability to think critically in fast-paced environments. Preferred Qualifications: Google Cloud certifications (e.g., Google Cloud Professional Cloud Architect or Google Cloud Professional DevOps Engineer) are highly desirable. Experience with DevOps practices, CI/CD pipelines, and automation tools. Familiarity with open-source technologies and frameworks relevant to GCP architecture. Experience in cloud cost management and optimization techniques. Benefits 1- Attractive Package. 2- Family Benefits. 3- Visa. 4-Air Tickets.

Location: Riyadh, Saudi Arabia Müller’s Solutions is looking for an experienced Azure Cloud Engineer to join our dynamic team. In this role, you will be responsible for designing, deploying, and managing our Azure cloud infrastructure, ensuring the scalability, security, and performance of our applications. You will collaborate with various teams to facilitate the migration of services to Azure and optimize our cloud environment for efficiency and cost-effectiveness. Key Responsibilities: Management of Azure virtual machines Configuration and management of Azure networking Administration of storage in Azure Management of Azure Active Directory / Microsoft Entra ID Optimization of costs (FinOps) and monitoring of budgets Configuration of Azure Monitor and performance tracking Administration of Microsoft Defender for Cloud Configuration of backups and daily monitoring & validation of backup processes Execution of quarterly Disaster Recovery (DR) testing Management of Azure Backup and on-premises backup solutions Monitoring and reporting on Recovery Time Objective (RTO) and Recovery Point Objective (RPO) Oversight of Microsoft 365 backup processes Design and implement Azure solutions that align with best practices and meet organizational needs. Oversee the management and monitoring of Azure resources including virtual machines, storage accounts, and networking elements. Automate the deployment and operational processes using Infrastructure as Code (IaC) tools, such as Terraform or Azure Resource Manager (ARM) templates. Integrate on-premises infrastructure with Azure services to create hybrid cloud solutions. Ensure compliance and governance standards for security across all Azure environments. Maintain documentation of architecture diagrams, operational procedures, and guidelines for best practices. Collaborate with development teams to facilitate efficient operational processes and application delivery. Identify and resolve issues with Azure services, determining root causes and implementing effective solutions.tions. Requirements Requirements: Bachelor's degree in Computer Science, Information Technology, or a related field. 3+ years of experience in cloud engineering or architecture, with a focus on Microsoft Azure. Strong understanding of Azure services and tools including Azure Virtual Machines, Azure Functions, and Azure App Services. Experience with scripting and automation using PowerShell, Azure CLI, or other automation tools. Familiarity with networking concepts and security principles in cloud environments. Excellent problem-solving skills and attention to detail. Effective communication skills to work collaboratively in a team-oriented environment. Preferred Qualifications: Microsoft Azure certifications (e.g., Azure Solutions Architect Expert or Azure DevOps Engineer) are highly desirable. Experience with DevOps practices and tools (e.g., CI/CD pipelines, Azure DevOps). Knowledge of containerization technologies such as Docker and Kubernetes. Experience with monitoring tools such as Azure Monitor, Application Insights, or third-party solutions. Benefits 1- Attractive Package. 2- Family Benefits. 3- Visa. 4-Air Tickets.

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 As a Technical Program Manager on the Compute team, you will help drive the planning, coordination, and execution of programs that keep Anthropic's compute infrastructure running efficiently at scale. Our compute fleet is the foundation on which every model training run, evaluation, and inference workload depends. You'll join a small, high-impact TPM team and take ownership of critical workstreams across the compute lifecycle, from how supply is procured and brought online, to how capacity is allocated and utilized across teams. The exact focus will depend on your strengths and the team's evolving needs. You'll partner with Infrastructure, Systems, Research, Finance, and Capacity Engineering to shape the processes, tooling, and coordination mechanisms that allow Anthropic to move fast while managing an increasingly complex compute environment. Responsibilities: Own and drive critical programs across the compute lifecycle, coordinating execution across multiple engineering, research, and operations teams Build and maintain operational visibility into the compute fleet, ensuring the organization has a clear picture of supply, demand, utilization, and health Lead cross-functional coordination for compute transitions: bringing new capacity online, migrating workloads, and managing decommissions across cloud providers and hardware platforms Partner with engineering and research leadership to navigate competing priorities and drive alignment on how compute resources are planned, allocated, and used Identify and close operational gaps across the compute pipeline, whether through new tooling, improved processes, or better cross-team communication Own trade-off discussions between utilization, cost, latency, and reliability, synthesizing inputs from technical and business stakeholders and communicating decisions to leadership Develop and improve the processes and frameworks the team uses to plan, track, and execute compute programs at increasing scale and complexity You may be a good fit if you: Have 7+ years of technical program management experience in infrastructure, platform engineering, or compute-intensive environments Have led complex, cross-functional programs involving multiple engineering teams with competing priorities and ambiguous requirements Have experience working with research or ML teams and translating their needs into operational plans and technical requirements Are comfortable diving deep into technical details (cloud infrastructure, cluster management, job scheduling, resource orchestration) while maintaining program-level visibility Thrive in ambiguous, fast-moving environments where you need to define scope and build processes from the ground up Have strong communication skills and can engage credibly with engineers, researchers, finance, and executive leadership Have a track record of building trust with engineering teams and driving changes through influence rather than authority Strong candidates may also have: Experience managing compute capacity across multiple cloud providers (AWS, GCP, Azure) or hybrid cloud/on-premises environments Familiarity with job scheduling, resource orchestration, or workload management systems (Kubernetes, Slurm, Borg, YARN, or custom schedulers) Experience with GPU or accelerator infrastructure, including the unique challenges of large-scale ML training and inference workloads Built or improved observability for infrastructure systems: dashboards, alerting, efficiency metrics, or cost attribution Capacity planning experience including demand forecasting, cost modeling, or hardware lifecycle management Scaled through hypergrowth in AI/ML, HPC, or large-scale cloud environments Deadline to Apply: None, applications will be received 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: $290,000 — $365,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Porto, Portugal Workplace: hybrid TeamViewer provides a leading Digital Workplace platform that connects people with technology—enabling, improving and automating digital processes to make work work better. Our software solutions harness the power of AI and shape the future of digitalization. We believe that our diverse teams and strong company culture are key to the success of our products and technologies, that hundreds of millions of users around the world and around 645,000 customers across all industries rely on. With more than 1,900 employees worldwide, we celebrate the unique perspectives and talents that each individual brings to the table and foster a dynamic work environment where new ideas thrive. Are you ready to join our team and make an impact? Responsibilities Design, build, and operate secure, scalable, highly available Azure infrastructure powering TeamViewer’s global SaaS platform Manage and optimize Kubernetes platforms using GitOps practices and Infrastructure as Code. Develop CI/CD pipelines, automation, and operational tooling to improve delivery speed, security, and developer productivity Implement monitoring, logging, and observability solutions to ensure platform reliability, performance, and visibility Drive platform performance, scalability, security, and cost optimization while supporting incident response and on-call operations Mentor engineers and partner across Engineering, Product, Security, and Platform teams to advance cloud-native best practices Requirements Degree in Computer Science, Software Engineering, or equivalent practical experience 5+ years experience as a Senior DevOps, Platform, or Cloud Engineer in high-availability SaaS environments Strong expertise in Azure, Infrastructure as Code (Terraform/Bicep), Kubernetes, containers, and GitOps tools such as Argo CD Hands-on experience with CI/CD platforms, scripting (Python, Bash, PowerShell), and automation. Knowledge of observability, cloud networking, microservices, infrastructure security, identity management (e.g., Entra, Keycloak), and relational databases Strong problem-solving, automation, and mentoring skills; experience with Java, Go, SQL, AWS, or GCP is a plus What we offer Onsite Onboarding in our HQ office for an optimal start Great compensation and benefits packages including company achievement bonus or sales bonus and regular salary reviews Public transport friendly offices Special terms for local gyms Access to Corporate Benefits platform with many discounts Regular Team events and company-wide celebrations Open door policy , no dress code rules, frequent all Hands and Leadership Lunches Hybrid and Flexible work time with up to 50% home office Work From Abroad Program allowing up to 40 days of work outside your contracting country We celebrate diversity as one of core values, join and drive one of the c-a-r-e initiatives together with us! TeamViewer is an equal opportunities employer and is committed to building an inclusive culture where everyone feels welcome and supported. We C-A-R-E and understand that our diverse, values-driven culture makes us stronger. As we continue to grow as a company, we also focus on enabling our employees to grow both personally and professionally. We are proud to have an open and embracing workplace environment that will empower you to be your best no matter your gender, civil or family status, sexual orientation, religion, age, disability, education level, or race. If you require any accommodations or adjustments during the application or hiring process, including interview or onboarding support, please reach out to your Talent Acquisition Partner, who will be happy to support you.

Компания JETLYN занимается развитием и поддержкой B2B-приложений. Задачи: — Развитие и поддержка 5 B2B-приложений. Требования: — Высшее техническое образование. — Опыт от 5 лет в backend-разработке NodeJS или Full-Stack. — Знание Node.js и Vue (минимальное понимание). — Опыт работы с PostgreSQL, микросервисами, nginx. — Опыт работы с Docker, Kubernetes. — Опыт работы с SQL Server, .Net, GraphQL, Hasura. — Гражданство РФ. Условия: — Оформление по ТК РФ или как ИП.

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 Anthropic is seeking an exceptional Senior Staff Software Engineer to join the Claude Developer Platform team and serve as the senior-most individual contributor across API Engineering. Since launch, the Claude API has seen rapid growth and adoption by companies of all sizes to build AI applications with our industry-leading models. The API serves as the primary channel for safely and broadly distributing AI's benefits across all sectors of the economy. This role sets the technical direction for the systems that make Claude accessible to developers, enterprises, and partners at scale. You will operate at the intersection of technical strategy and execution, partnering closely with Research, Inference, Platform, Infrastructure, and Safeguards to ensure the Claude API is reliable, capable, and positioned to grow with Anthropic's ambitions. This is a high-agency role that spans all API Engineering teams: API Core owns the foundational reliability and performance of the Claude API; API Capabilities ships frontier model capabilities—vision, tool use, computer use—directly to developers; API Knowledge builds retrieval and grounding systems that let Claude reason over external data; API Distributability ensures Claude reaches customers wherever they need it, with the enterprise-ready infrastructure to support it; and API Agents builds the infrastructure for long-horizon agentic workflows in production. Responsibilities Define and drive multi-year technical strategy for the Claude API, setting direction across API Core, Capabilities, Knowledge, Distributability, and Agents. Identify and personally lead the highest-complexity, highest-impact engineering initiatives spanning multiple teams. Serve as the primary technical decision-maker for major architectural decisions with org-wide scope. Partner with Research to evaluate and integrate frontier capabilities; work with Inference and Platform for reliable delivery at scale; collaborate with Infrastructure and Safeguards for reliability, security, and responsible deployment. Mentor and develop Staff-level engineers across the org. Drive alignment across Product, GTM, Safety, and beyond while proactively identifying and addressing systemic technical risks. You may be a good fit if you: Have 12+ years of engineering experience with a clear track record operating at Staff or Senior Staff level. Have demonstrably shaped technical strategy for large-scale API or distributed systems platforms. Drive the highest-leverage technical outcomes without formal authority—you lead through influence, quality of thinking, and trust. Have deep expertise in distributed systems and API architecture, and are effective writing design docs, making architectural calls, and coding in critical paths. Are highly effective across org boundaries—you build trust with Research, Inference, Infrastructure, Safeguards, and business stakeholders alike. Bring strong product instincts and a craftsperson's approach to API design; you communicate clearly with both technical and non-technical audiences. Technical Stack Languages: Python, Golang, Rust Infrastructure: GCP, AWS, Azure, Kubernetes Databases: PostgreSQL (AlloyDB), Vector Stores, Firestore, Spanner Tools: Feature Flagging, Prometheus, Grafana, Datadog, Claude Code Deadline to apply: None. Applications will be reviewed on a rolling basis. Location Preference: Preference will be given to candidates based in New York or the San Francisco Bay Area as these positions are part of an SF- or NY-based 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Singapore Workplace: Remote About the Team The Cloud Performance Engineering team is responsible for building cloud native ClickHouse Cloud Platform that will transform the OLAP space. Our team is looking for exceptional performance engineers with a proven track record of understanding the performance limits of different distributed databases and creating tools for measuring the performance and scalability of complex systems. The ideal candidate for this position is a distributed systems performance engineer with a strong background in database benchmarking, test automation, system engineering, performance analysis, and capacity management. This role is a unique opportunity to make a significant impact on our elastic, limitless scale, high-performance, server less clickHouse Cloud. What will you do? - Benchmark system performance, database performance analysis, capacity sizing and optimization. - Ability to troubleshoot and debug application and server errors and logs and triage accordingly - Recommend configuration tuning/optimizations for performance bottlenecks - Work closely with ClickHouse core development team, cloud team, security team and partner with them to improve the performance of ClickHouse Cloud. - Plan, enable, and drive Chaos initiatives across Engineering teams, based upon internal priorities - Develop, deploy and manage tools to systematically run chaos experiments and measure impact - Enjoy working on, and gaining a deep understanding of, large scale distributed systems - Study the problems in the software resilience, operational, and delivery spaces - Extend our entire backend to enable Chaos Engineering techniques in the system - Observe running systems, and determine/prioritize innovative ways to disrupt them About you: - You have 6+ years of relevant software development industry experience building and operating scalable, fault-tolerant, distributed systems. - Software development experience in Go, C/C++, Java, or similar. - Experience with concurrency, multithreading, and the deployment of distributed system architectures - Experience developing cloud infrastructure services, preferably with Kubernetes. - Experience leading and shipping large scope technical projects in collaboration with multiple experienced engineers. - Expertise with a public cloud provider (AWS, GCP, Azure) and their infrastructure as a service offering (e.g. EC2). - You have excellent communication skills and the ability to work well within a team and across engineering teams. - You are a strong problem solver and have solid production debugging skills. - You are passionate about efficiency, availability, scalability and data governance. - You Thrive in a fast paced environment, and see yourself as a partner with the business with the shared goal of moving the business forward. - You have a high level of responsibility, ownership, and accountability #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 eligible team member who joins our company receives equity. - 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: Singapore Workplace: Remote About the Team The Cloud Performance Engineering team is responsible for building cloud native ClickHouse Cloud Platform that will transform the OLAP space. Our team is looking for exceptional performance engineers with a proven track record of understanding the performance limits of different distributed databases and creating tools for measuring the performance and scalability of complex systems. The ideal candidate for this position is a distributed systems performance engineer with a strong background in database benchmarking, test automation, system engineering, performance analysis, and capacity management. This role is a unique opportunity to make a significant impact on our elastic, limitless scale, high-performance, server less clickHouse Cloud. What will you do? - Benchmark system performance, database performance analysis, capacity sizing and optimization. - Ability to troubleshoot and debug application and server errors and logs and triage accordingly - Recommend configuration tuning/optimizations for performance bottlenecks - Work closely with ClickHouse core development team, cloud team, security team and partner with them to improve the performance of ClickHouse Cloud. - Plan, enable, and drive Chaos initiatives across Engineering teams, based upon internal priorities - Develop, deploy and manage tools to systematically run chaos experiments and measure impact - Enjoy working on, and gaining a deep understanding of, large scale distributed systems - Study the problems in the software resilience, operational, and delivery spaces - Extend our entire backend to enable Chaos Engineering techniques in the system - Observe running systems, and determine/prioritize innovative ways to disrupt them About you: - You have 6+ years of relevant software development industry experience building and operating scalable, fault-tolerant, distributed systems. - Software development experience in Go, C/C++, Java, or similar. - Experience with concurrency, multithreading, and the deployment of distributed system architectures - Experience developing cloud infrastructure services, preferably with Kubernetes. - Experience leading and shipping large scope technical projects in collaboration with multiple experienced engineers. - Expertise with a public cloud provider (AWS, GCP, Azure) and their infrastructure as a service offering (e.g. EC2). - You have excellent communication skills and the ability to work well within a team and across engineering teams. - You are a strong problem solver and have solid production debugging skills. - You are passionate about efficiency, availability, scalability and data governance. - You Thrive in a fast paced environment, and see yourself as a partner with the business with the shared goal of moving the business forward. - You have a high level of responsibility, ownership, and accountability #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 eligible team member who joins our company receives equity. - 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: Singapore Workplace: Remote About the Team The Cloud Engineering team is responsible for building the cloud native ClickHouse Cloud Platform that will transform the OLAP space. Our team is looking for exceptional performance engineers with a proven track record of understanding the performance limits of different distributed databases and create tools for measuring the performance and scalability of complex systems. The ideal candidate for this position is a distributed systems performance engineer with a strong background in database benchmarking, test automation, system engineering, performance analysis, and capacity management. This role is a unique opportunity to make a significant impact on our elastic, limitless scale, high-performance, server less ClickHouse Cloud. What will you do? - Benchmark system performance, database performance analysis, capacity sizing and optimization. - Troubleshoot and debug applications, server errors, logs, and triage accordingly. - Recommend configuration tuning/optimizations for performance bottlenecks. - Work closely and partner with ClickHouse's core development team, cloud team, and security team to improve the performance of ClickHouse Cloud. - Plan, enable, and drive Chaos initiatives across Engineering teams, based upon internal priorities - Develop, deploy and manage tools to systematically run chaos experiments and measure impact - Enjoy working on, and gaining a deep understanding of, large scale distributed systems - Study the problems in the software resilience, operational, and delivery spaces - Extend our entire backend to enable Chaos Engineering techniques in the system - Observe running systems, and determine/prioritize innovative ways to disrupt them About you: - You have 6+ years of relevant software development industry experience building and operating scalable, fault-tolerant, distributed systems. - Software development experience in Go, C/C++, Java, or similar. - Experience with concurrency, multithreading, and the deployment of distributed system architectures - Experience developing cloud infrastructure services, preferably with Kubernetes. - Experience leading and shipping large scope technical projects in collaboration with multiple experienced engineers. - Expertise with a public cloud provider (AWS, GCP, Azure) and their infrastructure as a service offering (e.g. EC2). - You have excellent communication skills and the ability to work well within a team and across engineering teams. - You are a strong problem solver and have solid production debugging skills. - You are passionate about efficiency, availability, scalability and data governance. - You Thrive in a fast paced environment, and see yourself as a partner with the business with the shared goal of moving the business forward. - You have a high level of responsibility, ownership, and accountability #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 eligible team member who joins our company receives equity. - 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: Singapore Workplace: Remote About the Team The Cloud Performance Engineering team is responsible for building cloud native ClickHouse Cloud Platform that will transform the OLAP space. Our team is looking for exceptional performance engineers with a proven track record of understanding the performance limits of different distributed databases and creating tools for measuring the performance and scalability of complex systems. The ideal candidate for this position is a distributed systems performance engineer with a strong background in database benchmarking, test automation, system engineering, performance analysis, and capacity management. This role is a unique opportunity to make a significant impact on our elastic, limitless scale, high-performance, server less clickHouse Cloud. What will you do? - Benchmark system performance, database performance analysis, capacity sizing and optimization. - Ability to troubleshoot and debug application and server errors and logs and triage accordingly - Recommend configuration tuning/optimizations for performance bottlenecks - Work closely with ClickHouse core development team, cloud team, security team and partner with them to improve the performance of ClickHouse Cloud. - Plan, enable, and drive Chaos initiatives across Engineering teams, based upon internal priorities - Develop, deploy and manage tools to systematically run chaos experiments and measure impact - Enjoy working on, and gaining a deep understanding of, large scale distributed systems - Study the problems in the software resilience, operational, and delivery spaces - Extend our entire backend to enable Chaos Engineering techniques in the system - Observe running systems, and determine/prioritize innovative ways to disrupt them About you: - You have 6+ years of relevant software development industry experience building and operating scalable, fault-tolerant, distributed systems. - Software development experience in Go, C/C++, Java, or similar. - Experience with concurrency, multithreading, and the deployment of distributed system architectures - Experience developing cloud infrastructure services, preferably with Kubernetes. - Experience leading and shipping large scope technical projects in collaboration with multiple experienced engineers. - Expertise with a public cloud provider (AWS, GCP, Azure) and their infrastructure as a service offering (e.g. EC2). - You have excellent communication skills and the ability to work well within a team and across engineering teams. - You are a strong problem solver and have solid production debugging skills. - You are passionate about efficiency, availability, scalability and data governance. - You Thrive in a fast paced environment, and see yourself as a partner with the business with the shared goal of moving the business forward. - You have a high level of responsibility, ownership, and accountability #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 eligible team member who joins our company receives equity. - 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.

Задачи: — Развертывание, обслуживание и оптимизация облачной инфраструктуры на AWS с помощью Terraform; — Внедрение и соблюдение принципов GitOps для управления инфраструктурой и состоянием приложений; — Обеспечение безопасности инфраструктуры; — Разработка, внедрение и поддержка отказоустойчивых конвейеров CI/CD для сборки, тестирования и развертывания приложений; — Автоматизация рутинных операций и процессов развертывания с помощью современных инструментов; Требования: — 3 года профессионального опыта в качестве DevOps-инженера, SRE-инженера или инженера по платформе; — Практический опыт работы с AWS или другими облачными провайдерами; — Опыт написания и поддержки инфраструктуры как кода (Terraform); — Навыки создания и оптимизации конвейеров CI/CD; — Опыт работы с Kubernetes и Helm; — Глубокое понимание основ сетевых технологий (TCP/IP, DNS, HTTP/S) и облачной безопасности; — Опыт работы с Linux и скриптами на языке bash; Будет плюсом: — Понимание принципов Gitops и навыки работы с такими инструментами как ArgoCD или Flux; — Навыки работы с распределенными системами (Kafka, RabbitMQ, Redis Cluster); — Опыт настройки распределенного логирования и трассировки; — Знание шаблонов и практик SRE; — Опыт работы с языками программирования (Python/Go); — Опыт работы с решениями для масштабирования кластера, такими как Karpenter или Cluster Autoscaler. Условия: — Удалённый формат; — Карьерный рост и развитие в сильной технической команде; — Работа в международной компании.

Location: Berlin; London; Tallinn Workplace: Hybrid At Upvest, we are on a mission to make investing as easy as spending money. Upvest empowers businesses to offer a wide range of investment products and the best experience in the field of capital market investment and retirement planning. Upvest’s Investment API is easy to integrate so that fintechs and financial institutions can save resources and fully focus on their core business. We are proud to partner with Europe’s leading Fintechs and financial institutions such as DKB, Revolut, N26 and Raisin. Founded in 2017 by Martin Kassing, Upvest now brings together over 270 talented professionals from more than 70 nationalities. Upvest is backed by €280M in total funding from world-class investors, including BlackRock, Tencent, Sapphire Ventures, and Bessemer Venture Partners, Earlybird, Notion Capital, and Motive. Our latest €105M funding round in March 2026 - led by Sapphire and Tencent - serves as a massive catalyst for our growth, allowing us to offer premier investment experience. ABOUT THE ROLE: Our hubs are in Berlin, London and Tallinn, but we are open to hire remotely from Europe and United Kingdom. WHAT YOU’LL DO: - Make an impact in a true product team with a large ownership scope. - Work with cutting-edge technologies (Go is the primary language; it’s okay if you’re willing to switch from another language) without a legacy codebase. - Work on improving the reliability of our API. - Deliver fast and often. We embrace an agile methodology with a retrospective and demo at the end of the two-week cycle. - Design, build and own event-driven, fault-tolerant, horizontally scalable distributed systems using a Microservice architecture powered by Docker, Kubernetes, Kafka and PostgreSQL. IT’S GREAT IF YOU HAVE: - Experience with Investment products or the Fintech domain, in general. - Experience in event-driven architectures, event streaming, and event sourcing systems. - Experience with operating services in a decoupled, event-driven system, leveraging modern observability tooling (e.g. monitoring and tracing). YOU’RE LIKELY TO BE SUCCESSFUL IN THIS ROLE IF: - You're excited about fintech and building the financial infrastructure of tomorrow. - You work with the customer in mind. - You are a true team player and feel energized in diverse teams. - You're hungry to learn and eager to grow quickly. HOW WE UPVEST IN YOU: - Best-in-class AI tools: Every Upvenger has €20,000 per year to spend on the best AI tools available — so you're always working with the most powerful models and tooling on the market. - Impact-driven work: We’re building the infrastructure that will power the future of investing in Europe. It’s complex, ambitious, and meaningful. You’ll work with modern technologies and create something entirely new. No legacy systems, no limits. - Wellbeing: Recharge with 30 days of annual leave and maintain a healthy lifestyle with sports benefits. Access confidential professional coaching and enjoy the flexibility to work remotely abroad for up to 183 days a year. Recharge with UpRest, a one-month fully paid sabbatical after every 4 years of working at Upvest. - Development: Growth is in our DNA. Each Upvenger has access to a personal development budget and the freedom to decide how to use it. - Compensation and equity: We believe that all Upvengers contribute to our success and deserve a competitive, above-market salary and a participation in our employee equity program. - Team celebrations: Participate in company-wide events, such as UpFest, dinners, offsites and our Holiday party, to connect with colleagues and celebrate our achievements. - Inclusion: We’re committed to a culture where everyone belongs and thrives. Our Employee Resources Groups foster inclusion and connection, like Upfem for our female Upvengers, or UpVergent supporting neurodivergent Upvengers and allies. OUR VALUES: - Make it easy for others. We simplify the complex and act with the best intentions - Own the outcome. We are proactive, fast and confident to get the job done, valuing progress over perfection. - Rise to the challenge. We aim high and push the boundaries. We stay curious, learn and celebrate our wins together. - Tell the story. We start with the Why to align on purpose. We are transparent and share knowledge to empower and inspire others. Upvest is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Задачи: — Проектирование и развитие on-prem инфраструктуры — Настройка и оптимизация Kubernetes-кластеров — Автоматизация CI/CD и IaC (Terraform, Ansible, GitLab CI/CD) — Настройка observability и HA/DR (Prometheus, Grafana, PostgreSQL, Redis, Kafka и др.) Требования: — 4-6+ лет опыта девопсом в on-prem или гибридных инфраструктурах — Глубокое понимание ОС и принципов работы оборудования — Опыт работы с Bash / Python / Go — Системное мышление и умение работать с архитектурными решениями Условия: — Оформление по ТК РФ, ДМС — Удалённый формат по РФ, гибкое начало дня — Развитые процессы взаимодействия и онбординга

Location: San Francisco; Toronto; New York; Montreal; Seattle 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 At Baseten, we are building the global operating system for distributed, heterogeneous AI hardware. We believe that as LLM and multi-modal workloads scale, the network is the computer. We are looking for foundational engineers to lead our GPU Networking efforts, making RDMA a first-class building block in our infrastructure and unlocking the next generation of distributed inference optimizations. Networking and compute are no longer separate disciplines; they are converging. The massive throughput of H100, B200, and NVL72 architectures enables and demands a new approach where communication is co-optimized alongside computation. We are entering an era where the network is an active accelerator, leveraging smart hardware offloads and direct interconnects to ensure that data movement operates at wire-speed. In this role, you will go beyond network configuration to architect the software fabric that unifies thousands of GPUs into a cohesive operating system. While you will leverage the best of the open-source ecosystem, you won't be limited by it. Where off-the-shelf solutions stop, you will build from scratch, engineering the primitives required to co-optimize communication and compute for Disaggregated Serving, Wide Expert Parallelism (WideEP), and lightening cold starts. RESPONSIBILITIES - Make RDMA First-Class: You will work on integrating RDMA/RoCE/InfiniBand capabilities directly into our inference stack, helping us move beyond TCP/IP to unlock order-of-magnitude improvements in bandwidth and latency. - Optimize Distributed Inference: You will implement and tune the networking layers necessary for efficient Disaggregated KV Cache Offload and WideEP, ensuring seamless communication across NVLink and InfiniBand for our MoE models. - Enable Serverless-Grade Startup Speeds for LLMs: You will work deeply with checkpointing and storage mechanisms to enable sub-10-second startup for trillion-parameter models. - Deep-Dive into Hardware: You will characterize and validate networking performance on bleeding-edge clusters (H100/H200, B200/B300, GB200/300 NVL72), writing the acceptance tests that ensure our hardware delivers peak achievable throughput and minimal latency. - Build Observability: You will design the tools that let us visualize packet flow, congestion, and effective bandwidth across the GPU interconnects, helping us diagnose complex distributed system behaviors. - Optimize Kernels: You will work with communication libraries (NCCL, NVSHMEM) and potentially write custom communication kernels to overlap compute and data transfer. REQUIREMENTS - You have deep experience with high-performance networking protocols (InfiniBand, RoCE v2) and understand the physics of data movement. - You are fluent in C++ or Python, with the ability to bridge the gap between high-level logic and hardware. You have a deep understanding of the memory hierarchy in modern NVIDIA architectures (H100/Blackwell) and know how to optimize for it. - You like going deep. You aren't afraid to dive into TensorRT-LLM source code, write custom C++ / Python bindings, or debug NVLink topology issues. - You know when to use an off-the-shelf solution and when we need to build a custom solution because the upstream tools (like standard Kubernetes networking) are too slow for our needs. NICE TO HAVE - Deep knowledge of NCCL, NVSHMEM, and UCX. - Experience with Rust for systems-level or performance-critical networking code is a strong plus - Experience with GPUDirect Storage (GDS) or high-performance filesystems like Weka or 3FS. - Familiarity with TensorRT-LLM, vLLM, or SGLang. - Experience running low-level benchmarks to "qualify" new hardware clusters. THE TEAM - Bleeding Edge Hardware: We are preparing to bring Blackwell (B200/B300) and then Rubin architectures online. You will be one of the first engineers in the industry optimizing networking for NVL72/GB300 racks. - We go deep: We operate at every depth. Whether it’s tuning hardware interconnects, writing custom communication kernels, or designing distributed inference strategies, we work across the entire stack to deliver performance that goes far and beyond. - High Impact: The networking optimizations you build will directly enable features that no one else in the industry has fully mastered yet, like seamless multi-node WideEP and instant model hydration. 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).