Вакансии

Location: Romania We're looking for a technical architect who can drive development velocity across a team of 10–15 engineers building cloud-native applications. This is a hybrid role: deep hands-on technical leadership combined with people management. What you'll do Lead the architecture, performance, and scalability of our Node.js-based platform running primarily on AWS. While our applications are deployed on AWS today, they are designed to be hyperscaler-agnostic, and you'll ensure architectural decisions preserve that portability across GCP, Azure, and other cloud providers. You'll own the technical direction of the platform, mentor senior engineers, and partner with product and engineering leadership to ship high-quality systems quickly. You'll also manage a team of 10–15 developers — setting goals, running 1:1s, growing careers, hiring, and removing blockers. You'll balance roadmap delivery with engineering health: code quality, system reliability, on-call hygiene, and developer experience. Requirements What we're looking for 8+ years of software engineering experience, with 3+ years leading engineering teams Deep expertise architecting distributed systems on AWS (compute, networking, data, IAM, observability) Strong Node.js background and a clear point of view on building maintainable services at scale Experience designing platform-agnostic systems that can run on any major hyperscaler Track record of improving performance, scalability, and deployment velocity in production environments Proven ability to grow engineers, hire well, and run a team that ships consistently Nice to have Experience with multi-cloud or cloud-portable deployments (Kubernetes, Terraform, containerization) Background scaling SaaS platforms or developer-facing products AWS certifications (Solutions Architect Professional, DevOps Engineer)

Location: Portugal We're looking for a technical architect who can drive development velocity across a team of 10–15 engineers building cloud-native applications. This is a hybrid role: deep hands-on technical leadership combined with people management. What you'll do Lead the architecture, performance, and scalability of our Node.js-based platform running primarily on AWS. While our applications are deployed on AWS today, they are designed to be hyperscaler-agnostic, and you'll ensure architectural decisions preserve that portability across GCP, Azure, and other cloud providers. You'll own the technical direction of the platform, mentor senior engineers, and partner with product and engineering leadership to ship high-quality systems quickly. You'll also manage a team of 10–15 developers — setting goals, running 1:1s, growing careers, hiring, and removing blockers. You'll balance roadmap delivery with engineering health: code quality, system reliability, on-call hygiene, and developer experience. Requirements What we're looking for 8+ years of software engineering experience, with 3+ years leading engineering teams Deep expertise architecting distributed systems on AWS (compute, networking, data, IAM, observability) Strong Node.js background and a clear point of view on building maintainable services at scale Experience designing platform-agnostic systems that can run on any major hyperscaler Track record of improving performance, scalability, and deployment velocity in production environments Proven ability to grow engineers, hire well, and run a team that ships consistently Nice to have Experience with multi-cloud or cloud-portable deployments (Kubernetes, Terraform, containerization) Background scaling SaaS platforms or developer-facing products AWS certifications (Solutions Architect Professional, DevOps Engineer)

Location: Poland We're looking for a technical architect who can drive development velocity across a team of 10–15 engineers building cloud-native applications. This is a hybrid role: deep hands-on technical leadership combined with people management. What you'll do Lead the architecture, performance, and scalability of our Node.js-based platform running primarily on AWS. While our applications are deployed on AWS today, they are designed to be hyperscaler-agnostic, and you'll ensure architectural decisions preserve that portability across GCP, Azure, and other cloud providers. You'll own the technical direction of the platform, mentor senior engineers, and partner with product and engineering leadership to ship high-quality systems quickly. You'll also manage a team of 10–15 developers — setting goals, running 1:1s, growing careers, hiring, and removing blockers. You'll balance roadmap delivery with engineering health: code quality, system reliability, on-call hygiene, and developer experience. Requirements What we're looking for 8+ years of software engineering experience, with 3+ years leading engineering teams Deep expertise architecting distributed systems on AWS (compute, networking, data, IAM, observability) Strong Node.js background and a clear point of view on building maintainable services at scale Experience designing platform-agnostic systems that can run on any major hyperscaler Track record of improving performance, scalability, and deployment velocity in production environments Proven ability to grow engineers, hire well, and run a team that ships consistently Nice to have Experience with multi-cloud or cloud-portable deployments (Kubernetes, Terraform, containerization) Background scaling SaaS platforms or developer-facing products AWS certifications (Solutions Architect Professional, DevOps Engineer)

Location: Netherlands We're looking for a technical architect who can drive development velocity across a team of 10–15 engineers building cloud-native applications. This is a hybrid role: deep hands-on technical leadership combined with people management. What you'll do Lead the architecture, performance, and scalability of our Node.js-based platform running primarily on AWS. While our applications are deployed on AWS today, they are designed to be hyperscaler-agnostic, and you'll ensure architectural decisions preserve that portability across GCP, Azure, and other cloud providers. You'll own the technical direction of the platform, mentor senior engineers, and partner with product and engineering leadership to ship high-quality systems quickly. You'll also manage a team of 10–15 developers — setting goals, running 1:1s, growing careers, hiring, and removing blockers. You'll balance roadmap delivery with engineering health: code quality, system reliability, on-call hygiene, and developer experience. Requirements What we're looking for 8+ years of software engineering experience, with 3+ years leading engineering teams Deep expertise architecting distributed systems on AWS (compute, networking, data, IAM, observability) Strong Node.js background and a clear point of view on building maintainable services at scale Experience designing platform-agnostic systems that can run on any major hyperscaler Track record of improving performance, scalability, and deployment velocity in production environments Proven ability to grow engineers, hire well, and run a team that ships consistently Nice to have Experience with multi-cloud or cloud-portable deployments (Kubernetes, Terraform, containerization) Background scaling SaaS platforms or developer-facing products AWS certifications (Solutions Architect Professional, DevOps Engineer)

Location: Czechia We're looking for a technical architect who can drive development velocity across a team of 10–15 engineers building cloud-native applications. This is a hybrid role: deep hands-on technical leadership combined with people management. What you'll do Lead the architecture, performance, and scalability of our Node.js-based platform running primarily on AWS. While our applications are deployed on AWS today, they are designed to be hyperscaler-agnostic, and you'll ensure architectural decisions preserve that portability across GCP, Azure, and other cloud providers. You'll own the technical direction of the platform, mentor senior engineers, and partner with product and engineering leadership to ship high-quality systems quickly. You'll also manage a team of 10–15 developers — setting goals, running 1:1s, growing careers, hiring, and removing blockers. You'll balance roadmap delivery with engineering health: code quality, system reliability, on-call hygiene, and developer experience. Requirements What we're looking for 8+ years of software engineering experience, with 3+ years leading engineering teams Deep expertise architecting distributed systems on AWS (compute, networking, data, IAM, observability) Strong Node.js background and a clear point of view on building maintainable services at scale Experience designing platform-agnostic systems that can run on any major hyperscaler Track record of improving performance, scalability, and deployment velocity in production environments Proven ability to grow engineers, hire well, and run a team that ships consistently Nice to have Experience with multi-cloud or cloud-portable deployments (Kubernetes, Terraform, containerization) Background scaling SaaS platforms or developer-facing products AWS certifications (Solutions Architect Professional, DevOps Engineer)

Location: United Kingdom; Brazil; Ireland; Peru; Costa Rica; Latvia; Argentina; Romania; Cyprus; Portugal; Slovenia; Lithuania; South Africa; Czech Republic; Panama; Estonia; Canada; Hungary; Mexico; Poland; Spain; Bulgaria Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. Kraken is building a dedicated AI Compute and Infrastructure team to power the next generation of model training, inference, evaluation, and experimentation across the exchange. This team sits within engineering leadership and owns the infrastructure layer that lets Kraken run AI workloads with control, speed, reliability, and cost discipline. The team is responsible for GPU and accelerator infrastructure, cluster operations, scheduling, model serving, observability, capacity planning, and cost-efficient compute at scale. This is the backbone that allows Kraken to train, serve, evaluate, and iterate on AI systems in-house where it matters for privacy, latency, reliability, cost, or product differentiation. You will join a small, senior, high-impact team working directly with AI/ML researchers, platform engineers, security teams, and product teams. The mandate is simple: make Kraken's AI ambitions real by building compute infrastructure that is fast, dependable, efficient, and production-grade.   THE OPPORTUNITY - Own and operate GPU and accelerator clusters used for training, inference, evaluation, and experimentation, including drivers, runtimes, kernels, device plugins, node configuration, scheduling primitives, and workload isolation. - Design infrastructure that enables Kraken teams to run models locally on GPUs where it is strategically and economically preferable, reducing unnecessary dependency on external providers and containing compute costs. - Build and improve scheduling, orchestration, placement, quota management, and utilization systems across heterogeneous accelerator environments. - Optimize inference pipelines for latency, throughput, reliability, memory efficiency, and cost using frameworks such as vLLM, Triton Inference Server, TensorRT, or equivalent serving stacks. - Partner with ML engineers and researchers to remove bottlenecks in training, evaluation, batch inference, online inference, deployment, and production debugging workflows. - Build observability for GPU utilization, memory pressure, queue depth, saturation, token throughput, request latency, failed workloads, capacity pressure, and spend. - Drive reliability, incident response, alerting, runbooks, and post-incident improvements for always-on AI compute infrastructure. - Evaluate and integrate new hardware, cloud instance families, specialized accelerators, runtimes, schedulers, and serving frameworks as the AI infrastructure landscape evolves. - Build tooling that makes GPU usage visible, accountable, and easier for internal teams to consume without needing to become infrastructure experts. - Contribute to long-term architecture decisions that balance performance, cost efficiency, scalability, operational simplicity, and production safety.   WHAT YOU BRING - 5+ years of infrastructure engineering experience, with significant time spent on GPU compute, ML infrastructure, distributed systems, high-performance computing, or large-scale production platforms. - Hands-on experience operating GPU clusters or accelerator-backed infrastructure in production or production-like environments, including scheduling, orchestration, utilization monitoring, and cost optimization. - Strong systems engineering fundamentals across Linux, networking, storage, containers, Kubernetes, distributed runtimes, and production debugging. - Experience with ML serving frameworks such as vLLM, Triton Inference Server, TensorRT, TorchServe, KServe, Ray Serve, or equivalent systems. - Proficiency in Python for infrastructure automation, tooling, debugging, integration, and operational workflows. - Practical understanding of performance tradeoffs across batching, concurrency, memory usage, GPU utilization, model size, latency, throughput, availability, and cost. - Track record of optimizing compute costs while maintaining clear performance, reliability, and availability expectations. - Experience building observable systems with useful metrics, logs, traces, dashboards, alerts, and incident workflows. - Comfortable working in high-stakes, always-on environments where uptime, throughput, correctness, and operational discipline are critical. - Clear communicator who can translate infrastructure tradeoffs for researchers, product teams, platform engineers, security stakeholders, and engineering leadership.   NICE TO HAVES - Experience at a frontier AI lab, hyperscaler, high-frequency trading firm, research platform, or high-scale ML organization. - Familiarity with custom silicon or specialized accelerators such as TPUs, AWS Trainium, Gaudi, or similar platforms. - Background in capacity planning, procurement input, reserved capacity strategy, cloud accelerator economics, or GPU fleet cost management. - Experience with distributed training frameworks such as DeepSpeed, Megatron-LM, FSDP, Ray, or equivalent systems. - Experience debugging CUDA, NCCL, kernel, driver, runtime, memory, networking, or low-level performance issues. - Experience with Rust, C++, Go, CUDA, or other systems languages used for performance-critical infrastructure. - Crypto, financial services, trading infrastructure, or security-sensitive production infrastructure experience. Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on Twitter https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: London, UK About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Infrastructure organization is foundational to our mission of developing AI systems that are reliable, interpretable, and steerable. The systems we build determine how quickly we can train new models, how reliably we can run safety experiments, and how effectively we can scale Claude to millions of users — demonstrating that safe, reliable infrastructure and frontier capabilities can go hand in hand. Node Infra owns the full lifecycle of accelerator capacity at Anthropic. We ingest and provision compute from all major cloud providers and from datacenters custom-built for Anthropic, stand up and scale the clusters behind one of the industry's largest AI compute fleets, and build the health, diagnostics and repair automation that keep every GPU, TPU and Trainium node in the fleet usable and ready to power Anthropic's frontier AI research. Key responsibilities Own the technical strategy and roadmap for node lifecycle management - ingestion, bring-up, health checking, and automated repair Drive cross-team initiatives to build and scale AI clusters across multiple clouds and accelerator families Design and operate the systems that detect, isolate, and remediate unhealthy hardware automatically, driving up fleet MTBI and minimizing stranded capacity Define infrastructure architecture, ensuring the hardest problems get solved - whether by you directly or by working through others Work closely with cloud providers and internal research/inference/product teams to shape long-term compute, data, and infrastructure strategy Establish and evolve operational excellence practices (incident response, postmortem culture, on-call) Support the growth of engineers around you through technical mentorship and coaching Minimum qualifications Deep expertise in distributed systems, reliability, and cloud platforms (e.g., Kubernetes, IaC, AWS/GCP/Azure) Strong proficiency in at least one systems language (e.g., Rust, Go, or Python), IaC proficiency with Terraform. Hands-on experience with machine learning accelerators (GPUs, TPUs, or Trainium) Track record of leading complex, multi-quarter technical initiatives that span multiple teams or systems Ability to build alignment across senior stakeholders and communicate effectively at all levels Preferred qualifications 7+ years of software engineering experience, including time as a technical lead setting direction for a team Experience managing large scale compute infrastructure at hyperscale (10K+ nodes), including capacity management and efficiency Depth in one or more of: Kubernetes internals (scheduler, autoscaler, kubelet, Karpenter), cluster orchestration systems (Mesos, Borg-like), or node provisioning pipelines Low-level systems experience: kernel, virtualization, device drivers, firmware, or hardware health/diagnostics daemons Familiarity with high-performance networking (EFA, RDMA, InfiniBand) for distributed ML workloads. Demonstrated ownership of production reliability for high-throughput, latency-sensitive systems Contributions to relevant open-source projects (Kubernetes, Linux kernel, container runtimes, etc.) Skill in quickly understanding systems design tradeoffs and keeping track of rapidly evolving software systems The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £325,000 — £485,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: London, UK About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We run one of the industry's largest AI compute fleets, spanning multiple cloud providers and datacenters, to train, research, and serve frontier AI models. Those fleets run on Kubernetes, and the Kubernetes Platform team owns the control plane that makes them work. We are operating at a scale where the defaults stop working. We own the scheduler and extend it to place topology-sensitive ML workloads across thousands of accelerators at once. We scale the control plane itself — apiserver, etcd, controllers — so it stays responsive as object counts and node counts grow by orders of magnitude. And we build the core cluster services every workload depends on, like service discovery, so they hold up under the same pressure. We make sure the control plane is fast, correct, and always available. Your work will directly determine whether Anthropic can keep reliably and safely training frontier models as our compute footprint continues to grow. Key responsibilities Own, operate, and extend the Kubernetes scheduler for Anthropic's accelerator fleets, including custom scheduling plugins and policies for gang scheduling, topology awareness, and preemption Scale the Kubernetes control plane (apiserver, etcd, controller-manager) to support clusters far beyond typical limits, and find the next bottleneck before it finds us Design, build, and operate core cluster services such as service discovery that every workload in the fleet depends on Build and maintain custom controllers, operators, and CRDs Partner with research, training, and inference to understand workload shapes and turn their requirements into platform capabilities Collaborate with cloud providers on required features and escalations Participate in on-call, lead incident response, and design processes (postmortems, runbooks, SLOs) that help the team avoid repeating failures Minimum qualifications Significant software engineering experience building and operating production distributed systems Proficiency in at least one systems-appropriate language (e.g., Go, Python, Rust, or C++) Deep, hands-on Kubernetes experience (well beyond "user of”) into scheduler, controllers, apiserver, or operating large multi-tenant clusters Demonstrated ability to debug complex issues across the stack, from API behavior down to node and network-level root causes A track record of designing for reliability, correctness, and clear failure semantics in systems other engineers depend on Strong written and verbal communication; comfort building consensus with internal stakeholders Preferred qualifications Experience with Kubernetes internals or contributions: kube-scheduler / scheduling framework, apiserver, etcd, client-go, controller-runtime, or similar Experience building or operating cluster schedulers or batch systems (e.g., Kueue, Volcano, Slurm, or in-house equivalents) Background scaling control planes or coordination systems (etcd, ZooKeeper, Consul, or large DNS/service-mesh deployments) Familiarity with ML infrastructure: GPUs, TPUs, or Trainium; gang scheduling; topology-aware placement; collective networking such as NCCL Experience with GCP and/or AWS, including GKE/EKS internals and Infrastructure as Code Low-level systems experience such as Linux kernel tuning, cgroups, or eBPF 12+ years of relevant industry experience, including time leading large, ambiguous infrastructure projects The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £325,000 — £485,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: London, UK About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Infrastructure organization is foundational to our mission of developing AI systems that are reliable, interpretable, and steerable. The systems we build determine how quickly we can train new models, how reliably we can run safety experiments, and how effectively we can scale Claude to millions of users — demonstrating that safe, reliable infrastructure and frontier capabilities can go hand in hand. Cluster Infra owns the full lifecycle of compute clusters at Anthropic. We build agent-driven automation for cluster provisioning and lifecycle management across all major cloud providers and our own datacenters. Our systems stand up clusters that are interconnected with high bandwidth, secure-by-default, and able to automatically drain and recover in response to failure. As a Staff engineer on this team, you'll set the technical direction for how Anthropic brings compute online - at a moment when the scale of that compute is growing faster than at almost any company in the world. Key responsibilities Own the technical strategy and roadmap for agent-driven cluster lifecycle management - provisioning, updates and decommissioning Partner across teams to ensure new compute capacity is ingested on time Align with partner teams on physical build-out and leverage cloud solutions to deliver high-bandwidth inter-cluster connectivity Collaborate with security owners to ensure clusters are provisioned secure-by-default Define and drive strategy on cluster scalability, homogeneity and fault tolerance Work closely with cloud providers and internal research, inference and product teams to shape long-term compute, data, and infrastructure strategy Establish and evolve operational-excellence practices: incident response, postmortem culture and on-call health Support the growth of engineers around you through technical mentorship and coaching Minimum qualifications Deep expertise in distributed systems, reliability, and cloud platforms (e.g., Kubernetes, IaC, AWS/GCP/Azure) Strong proficiency in at least one systems language (e.g., Rust, Go, or Python), IaC proficiency with Terraform. Track record of leading complex, multi-quarter technical initiatives spanning multiple teams or systems Ability to build alignment across senior stakeholders and communicate effectively at all levels Preferred qualifications 10+ years of software engineering experience, including time as a technical lead setting direction for a team Experience operating large-scale compute infrastructure at hyperscale (100+ clusters, 10K+ nodes) Depth in one or more of: Kubernetes internals, cluster provisioning and management systems, cluster orchestration systems (Mesos, Borg-like) Experience with cloud networking: VPC design and peering, Shared VPC/Transit Gateway, Cloud Interconnect/Direct Connect, Cloud NAT, cross-cloud private connectivity, BGP and route control, edge load balancing and DDoS mitigation (Cloud Armor / AWS Shield) Experience with cluster and host networking: CNI (Cilium), eBPF, NetworkPolicy, multi-NIC, sFlow, service mesh (Istio/Envoy/Linkerd, mTLS) Experience with cluster security: pod security standards and admission control, RBAC and least-privilege IAM, node and container hardening, supply-chain/image provenance Deep experience with infrastructure-as-code (Terraform, Atlantis), workflow orchestration (Temporal, Argo Workflows) Skill in quickly understanding systems design tradeoffs and keeping track of rapidly evolving software systems The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £325,000 — £485,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Caracas, Venezuela, Bolivarian Republic of Are you passionate about making a difference in mental health? Join Intellect as a Clinical Provider, where you’ll play a vital role in supporting clients on their journeys toward better mental health and personal growth through our cutting-edge telehealth platform. This freelance, remote role offers complete flexibility, allowing you to set your own business hours. It’s a perfect opportunity to complement your current job or private practice. While we prefer local candidates, we’re open to professionals from diverse locations who are aligned with our mission. Why Join Us? Become part of a collaborative network of Clinical Psychologists and Counsellors dedicated to expanding access to quality mental health care. At Intellect, you’ll find a supportive community focused on enhancing lives and helping clients overcome personal challenges. What You'll Do Provide 1-on-1 telehealth/or onsite mental health support for Intellect’s clients Address a range of clinical cases, including depression, anxiety, trauma, schizophrenia, eating disorders, addiction, and more Partner with our internal clinical team to improve the platform and client programs Requirements Requirements Qualifications: Master’s degree in Counseling or Clinical Psychology Expertise: Skilled in Cognitive Behavioral Therapy or other evidence-based approaches (e.g., Motivational Interviewing, DBT, SFBT) Experience: A minimum of 300 clinical hours post-master’s degree Languages: Proficiency in English and your local language Preferred Background: Prior experience with EAP, adult counseling, or coaching managerial roles Flexibility: Openness to occasional onsite work, if necessary, is a plus If you’re ready to make a meaningful impact and be part of a mission-driven team, we’d love to hear from you. Apply today and join us in transforming mental health care!

Location: San Salvador, El Salvador Are you passionate about making a difference in mental health? Join Intellect as a Clinical Provider, where you’ll play a vital role in supporting clients on their journeys toward better mental health and personal growth through our cutting-edge telehealth platform. This freelance, remote role offers complete flexibility, allowing you to set your own business hours. It’s a perfect opportunity to complement your current job or private practice. While we prefer local candidates, we’re open to professionals from diverse locations who are aligned with our mission. Why Join Us? Become part of a collaborative network of Clinical Psychologists and Counsellors dedicated to expanding access to quality mental health care. At Intellect, you’ll find a supportive community focused on enhancing lives and helping clients overcome personal challenges. What You'll Do Provide 1-on-1 telehealth/or onsite mental health support for Intellect’s clients Address a range of clinical cases, including depression, anxiety, trauma, schizophrenia, eating disorders, addiction, and more Partner with our internal clinical team to improve the platform and client programs Requirements Requirements Qualifications: Master’s degree in Counseling or Clinical Psychology Expertise: Skilled in Cognitive Behavioral Therapy or other evidence-based approaches (e.g., Motivational Interviewing, DBT, SFBT) Experience: A minimum of 300 clinical hours post-master’s degree Languages: Proficiency in English and your local language Preferred Background: Prior experience with EAP, adult counseling, or coaching managerial roles Flexibility: Openness to occasional onsite work, if necessary, is a plus If you’re ready to make a meaningful impact and be part of a mission-driven team, we’d love to hear from you. Apply today and join us in transforming mental health care!

Location: Botijlaca, Bolivia, Plurinational State of Are you passionate about making a difference in mental health? Join Intellect as a Clinical Provider, where you’ll play a vital role in supporting clients on their journeys toward better mental health and personal growth through our cutting-edge telehealth platform. This freelance, remote role offers complete flexibility, allowing you to set your own business hours. It’s a perfect opportunity to complement your current job or private practice. While we prefer local candidates, we’re open to professionals from diverse locations who are aligned with our mission. Why Join Us? Become part of a collaborative network of Clinical Psychologists and Counsellors dedicated to expanding access to quality mental health care. At Intellect, you’ll find a supportive community focused on enhancing lives and helping clients overcome personal challenges. What You'll Do Provide 1-on-1 telehealth/or onsite mental health support for Intellect’s clients Address a range of clinical cases, including depression, anxiety, trauma, schizophrenia, eating disorders, addiction, and more Partner with our internal clinical team to improve the platform and client programs Requirements Requirements Qualifications: Master’s degree in Counseling or Clinical Psychology Expertise: Skilled in Cognitive Behavioral Therapy or other evidence-based approaches (e.g., Motivational Interviewing, DBT, SFBT) Experience: A minimum of 300 clinical hours post-master’s degree Languages: Proficiency in English and your local language Preferred Background: Prior experience with EAP, adult counseling, or coaching managerial roles Flexibility: Openness to occasional onsite work, if necessary, is a plus If you’re ready to make a meaningful impact and be part of a mission-driven team, we’d love to hear from you. Apply today and join us in transforming mental health care!

Location: Nepal About Intellect At Intellect, we’re a leading global mental health tech company in 100+ markets worldwide. We partner with employers, insurers, and governments to deliver coaching, counselling, and therapy services across Australia. We’re expanding our EAP provider network and hiring coaches, counsellors, and psychologists. Whether you’d like to supplement your private practice or take on a full-time career pathway, Intellect offers flexibility to fit your lifestyle. Why Join Us? Flexibility in employment models: freelance, contracted, part-time, or full-time — so you can maintain your own private caseload/clients while expanding with Intellect Competitive compensation & attractive perks Minimal admin burden — we handle scheduling, billing, client matching Regular supervision & CPD included Diverse client base — from local employees to regional/global Fortune 500 companies Additional opportunities: CISP (Critical Incident Stress Programme), webinars, in-person seminars, clinical leadership What You’ll Do Provide 1:1 telehealth and/or onsite coaching, counselling, or therapy Deliver CISP (Critical Incident Stress Programme) virtually or onsite as needed Facilitate webinars and in-person seminars (optional) Support employees with wellbeing, stress, and resilience Collaborate with Intellect’s internal clinical team to improve EAP programs Requirements Has a Master / Postgraduate Diploma training in Clinical Psychology Has experience working with psychological topics like depression, OCD, PTSD, and the like Skilled in Cognitive Behavioural Therapy or other evidence-based approaches (e.g. Motivational Interviewing, DBT, SFBT, etc.) Candidate must have at least 300 clinical hours Candidate must be proficient in English (plus points for other languages) Prior experience in EAP, and/or counselling working is a plus

Location: Tunisia At Intellect, we’re a leading global mental health tech company in 100+ markets worldwide. We partner with employers, insurers, and governments to deliver coaching, counselling, and therapy services. We’re expanding our EAP provider network and hiring coaches, counsellors, and psychologists. Whether you’d like to supplement your private practice or take on a full-time career pathway, Intellect offers flexibility to fit your lifestyle. Why Join Us? Flexibility in employment models: freelance, contracted, part-time, or full-time — so you can maintain your own private caseload/clients while expanding with Intellect Competitive compensation & attractive perks Minimal admin burden — we handle scheduling, billing, client matching Regular supervision & CPD included Diverse client base — from local employees to regional/global Fortune 500 companies What You’ll Do • Provide 1:1 telehealth and/or onsite coaching, counselling, or therapy-style consultations, offering general advice only (not treatment) • Facilitate webinars and in-person seminars (optional) • Support employees with wellbeing, stress, and resilience • Collaborate with Intellect’s internal clinical team to improve EAP programs Requirements Must Haves Counsellors & Clinical Psychologists Counsellors: Master’s in Counselling, Counselling Psychology 1–3 years of supervised counselling experience Clinical Psychologists: • Master’s in Clinical Psychology • Area of Practice Endorsement in Clinical Psychology preferred (or in progress via Registrar Program) • 1–3 years of supervised clinical practice Nice to Haves Background in managerial or leadership support (e.g., coaching managers, HR advisory) Prior EAP or workplace counselling experience Additional languages Flexibility for occasional onsite sessions Let’s Talk This is more than a job. It’s your chance to: Work with a global provider network Broaden your clientele base beyond local users Grow your career outside of sessions through research, content, and webinars Access supervision & CE most EAPs don’t provide If you’re ready to make a meaningful impact and expand your practice with flexibility, we’d love to hear from you. Apply today and join Intellect in transforming workplace mental health across the country and beyond.

Location: Algeria At Intellect, we’re a leading global mental health tech company in 100+ markets worldwide. We partner with employers, insurers, and governments to deliver coaching, counselling, and therapy services. We’re expanding our EAP provider network and hiring coaches, counsellors, and psychologists. Whether you’d like to supplement your private practice or take on a full-time career pathway, Intellect offers flexibility to fit your lifestyle. Why Join Us? Flexibility in employment models: freelance, contracted, part-time, or full-time — so you can maintain your own private caseload/clients while expanding with Intellect Competitive compensation & attractive perks Minimal admin burden — we handle scheduling, billing, client matching Regular supervision & CPD included Diverse client base — from local employees to regional/global Fortune 500 companies What You’ll Do • Provide 1:1 telehealth and/or onsite coaching, counselling, or therapy-style consultations, offering general advice only (not treatment) • Facilitate webinars and in-person seminars (optional) • Support employees with wellbeing, stress, and resilience • Collaborate with Intellect’s internal clinical team to improve EAP programs Requirements Must Haves Counsellors & Clinical Psychologists Counsellors: Master’s in Counselling, Counselling Psychology 1–3 years of supervised counselling experience Clinical Psychologists: • Master’s in Clinical Psychology • Area of Practice Endorsement in Clinical Psychology preferred (or in progress via Registrar Program) • 1–3 years of supervised clinical practice Nice to Haves Background in managerial or leadership support (e.g., coaching managers, HR advisory) Prior EAP or workplace counselling experience Additional languages Flexibility for occasional onsite sessions Let’s Talk This is more than a job. It’s your chance to: Work with a global provider network Broaden your clientele base beyond local users Grow your career outside of sessions through research, content, and webinars Access supervision & CE most EAPs don’t provide If you’re ready to make a meaningful impact and expand your practice with flexibility, we’d love to hear from you. Apply today and join Intellect in transforming workplace mental health across the country and beyond.

Location: South Africa About Huzzle At Huzzle, we connect exceptional talents with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries such as SaaS, MarTech, FinTech, and EdTech. Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team. Role Type: Full-time Engagement: Independent Contractor Job Summary We are seeking a highly skilled and performance-driven Senior Meta Ads Specialist (Media Buyer) to manage, optimize, and scale paid advertising campaigns across Facebook and Instagram. The ideal candidate has extensive experience driving customer acquisition, lead generation, and revenue growth through strategic media buying and data-driven campaign optimization. In this role, you will be responsible for managing high-performing Meta ad campaigns, analyzing performance metrics, testing creatives and audiences, and continuously improving return on ad spend (ROAS). You will collaborate closely with creative, marketing, and leadership teams to execute growth-focused advertising strategies for international brands. Key Responsibilities Plan, launch, and manage high-budget Meta advertising campaigns across Facebook and Instagram. Develop and execute full-funnel paid social strategies focused on lead generation, eCommerce sales, or customer acquisition. Conduct audience research, targeting optimization, and A/B testing to improve campaign performance. Monitor campaign KPIs including ROAS, CPA, CTR, CPC, and conversion rates. Analyze performance data and provide actionable recommendations for scaling campaigns. Collaborate with creative teams to develop high-converting ad creatives and copy. Implement retargeting and remarketing strategies to improve conversion performance. Manage advertising budgets efficiently while maximizing ROI. Stay updated with Meta Ads platform changes, trends, and best practices. Generate weekly and monthly performance reports with insights and optimization recommendations. Troubleshoot account issues, tracking discrepancies, and ad performance fluctuations. Requirements 4+ years of experience managing Meta Ads campaigns at a high level. Proven track record of scaling campaigns with strong ROAS performance. Strong understanding of Facebook Ads Manager, Meta Pixel, Conversion API, and attribution models. Experience handling monthly ad budgets ranging from $10,000 to $100,000+. Deep knowledge of audience segmentation, retargeting, and conversion optimization. Strong analytical skills with the ability to interpret campaign data and make strategic decisions. Experience using tools such as Google Analytics, Looker Studio, Hyros, Triple Whale, or similar analytics platforms. Excellent communication and collaboration skills. Experience working with eCommerce, SaaS, lead generation, or direct-response brands is highly preferred. Ability to work independently in a fast-paced remote environment. Benefits 💻 Fully Remote: Work from anywhere with international teams 🚀 Career Growth: Join companies in SaaS, MarTech, and B2B services 🤝 Peer Community: Connect with high-performing sales professionals in our network 🧭 Ongoing Support: Receive guidance from Huzzle before and after placement 💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals

Location: Colombia; Mexico; Chile; Brazil; Argentina; Honduras About Huzzle At Huzzle, we connect exceptional talents with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries such as SaaS, MarTech, FinTech, and EdTech. Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team. Role Type: Full-time Engagement: Independent Contractor Job Summary We are seeking an experienced Senior Media Buyer with a strong background in the pharmaceutical and healthcare industries to lead paid media strategy, campaign execution, and performance optimization across multiple digital advertising channels. The ideal candidate has deep expertise in managing compliant healthcare advertising campaigns, scaling paid acquisition efforts, and driving measurable ROI while navigating industry regulations. This role is ideal for a highly analytical and results-driven media buying professional with hands-on experience across Meta Ads, Google Ads, LinkedIn Ads, programmatic platforms, and healthcare-focused advertising strategies. Key Responsibilities Plan, launch, and optimize paid media campaigns across Meta, Google, LinkedIn, and programmatic platforms. Manage healthcare and pharmaceutical advertising campaigns while ensuring compliance with industry regulations and platform policies. Develop audience targeting and acquisition strategies for patients, healthcare professionals, and healthcare organizations. Monitor campaign performance, analyze KPIs, and optimize for ROAS, lead generation, and conversion growth. Conduct A/B testing across creatives, messaging, audiences, and landing pages. Manage advertising budgets and scale campaigns based on performance insights. Collaborate with creative and marketing teams to develop high-performing healthcare-focused campaigns. Prepare performance reports and provide strategic recommendations to stakeholders. Requirements 4+ years of experience in media buying and paid advertising. Proven experience within the pharmaceutical, healthcare, medical, or wellness industries. Strong expertise in Meta Ads, Google Ads, LinkedIn Ads, and programmatic advertising platforms. Experience managing compliant healthcare and pharmaceutical marketing campaigns. Strong understanding of conversion tracking, attribution, retargeting, and campaign optimization. Proficiency with analytics and reporting tools such as Google Analytics and Looker Studio. Experience managing advertising budgets and optimizing for ROI. Strong analytical, communication, and project management skills. Experience working with remote or cross-functional teams is preferred. Benefits 💻 Fully Remote: Work from anywhere with international teams 🚀 Career Growth: Join companies in SaaS, MarTech, and B2B services 🤝 Peer Community: Connect with high-performing sales professionals in our network 🧭 Ongoing Support: Receive guidance from Huzzle before and after placement 💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals

Location: Belgrade, Serbia As part of our continued growth, Neo Group is recruiting on behalf of one of our local partners , leveraging our network of 1,400 talented professionals across 10+ countries. Together, we are committed to delivering innovative, data-driven solutions that empower our clients and foster professional growth within a dynamic and collaborative workplace. We are on the lookout for a Product Manager to join our Product Department. Unlock your full potential as a Product Manager . In this role, you will own the product strategy and drive product growth, turning customer needs, market research and business goals into a clear, prioritized set of features. You won't just define what gets built; you will take it from concept to launch with engineering, design, marketing and sales, then track KPIs to measure success and spot the next opportunity. If you are analytical, experienced with A/B testing and funnel analysis, and comfortable making decisions when priorities compete, we would love to hear from you! Responsibilities: Develop and execute the product strategy in alignment with overall company goals and objectives, with a focus on product growth. Conduct research to identify opportunities, trends, and customer needs. Collaborate with cross-functional teams, including engineering, design, marketing, and sales, to drive product development from concept to launch. Define and prioritize product features and enhancements based on customer feedback, market analysis, and business priorities. Work closely with stakeholders to gather requirements, provide updates, and address concerns throughout the product lifecycle. Monitor and analyze key performance indicators (KPIs) to assess product success and identify areas for improvement. Stay up to date with industry trends, competitor products, and emerging technologies to inform product decisions. Requirements 3+ years of experience in Product Management. Strong analytical skills: funnel analysis, cohort analysis, LTV. Experience running A/B tests and making data-driven decisions. Understanding of regulatory requirements. Ability to work in a cross-functional environment and make decisions amid conflicting interests. English - B2 or higher. Benefits Recharge your batteries with 20 paid working vacation days annually to explore, relax, and rejuvenate. Kick off your birthday month with a bang! Not only do you get heartfelt birthday wishes from your team, but you also enjoy a fully-paid day off. Get legal support for obtaining a local work/residence permit. Prioritize your health with compensation for wellness activities. Experience an international work environment with a passionate, motivated, and professional team. We support your health by partially or fully reimbursing medical insurance costs, depending on the chosen plan. Invest in your growth using professional development compensation. Boost your energy and morale with complimentary snacks available in the office. Foster camaraderie and celebrate achievements through engaging in corporate events throughout the year.