Location: Ukraine
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
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: Serbia
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)
УдалённоSerbia
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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: China
Our Client
Our client is a Singapore-based multinational food and beverage company specializing in the production and distribution of instant beverages, particularly coffee mixes and non-dairy creamers. With a strong presence across Asia, Eastern Europe, and other emerging markets, the company focuses on delivering affordable, mass-market products while continuously optimizing cost efficiency and product formulations. Its operations are supported by manufacturing facilities, including in Malaysia, and it actively competes with Chinese producers by exploring innovations in ingredients and production processes to maintain competitiveness in pricing and quality.
Key Responsibilities
Conduct a comprehensive analysis of existing non-dairy creamer product formulations, focusing on cost structure, ingredient composition, and performance.
Identify opportunities to optimize formulation and reduce production costs while maintaining or improving product quality.
Provide insights into China-based manufacturing practices, including cost advantages, sourcing strategies, and formulation techniques.
Recommend alternative ingredients, suppliers, or processes to improve cost competitiveness against Chinese producers.
Work closely with internal teams (R&D, production, and business) to implement improvements and validate results.
Deliver clear, actionable reports and recommendations to senior stakeholders, including business leadership.
Support ongoing product development or reformulation initiatives as needed during the engagement period.
Participate in periodic on-site visits to the Malaysia facility to collaborate with local teams.
Location & Travel
Candidate can be based anywhere in China (to work remotely), with periodical travel to Malaysia (expenses covered).
Requirements
Minimum 10+ years of experience in food R&D or product development, specifically in non-dairy creamer or related powdered beverage products.
Proven experience working within manufacturing environments in China, with strong understanding of local cost structures and competitive practices.
Deep technical knowledge of formulation, ingredients, and processing for non-dairy creamer products.
Demonstrated track record of cost optimization or formulation improvement projects.
Ability to work in a consultative, advisory capacity and translate technical insights into business impact.
Comfortable working on a contract/freelance basis with flexible engagement structure (e.g., monthly advisory or project-based).
Willingness to travel to Malaysia periodically (expenses covered).
Strong analytical and problem-solving skills, with the ability to work independently.
English proficiency preferred but not a must.
Location: Salt Lake City, Utah, United States
About the Role
iCapital’s Distributed Ledger Technology team is looking to hire a Senior Blockchain Backend Engineer to develop an industry-wide distributed ledger solution for the alternative investment ecosystem to facilitate access to private markets investments for advisors and their high-net-worth clients using innovative technology solutions. The ideal candidate is able to understand complex business problems, scope projects, identify business opportunities, optimize workflows, and communicate their findings across all levels of the organization. This role is highly visible and involves working closely with other teams in Engineering, Product, senior leadership, and industry partners.
Responsibilities
Design and implement a private and permissioned distributed ledger using DAML or Canton and other open source blockchain frameworks.
Build and maintain a RESTful API using Python and FastAPI.
Provide technical leadership to motivate and guide team members and mentor junior engineers.
PArticipate in daily stand-up meetings and peer code reviews as part of the standard SDLC.
Stay current with the latest developments in blockchain technology and incorporate them into the iCapital ecosystem.
Qualifications
5+ years software engineering experience building enterprise SaaS cloud-based solutions
2+ year technical leadership and management experience
Experience with DAML, Solidity, or other blockchain programing languages
Experience with Python, Toke and FastAPI
Demonstrated understanding of relational database concepts and modeling practices
Experience building APIs for large scale applications using AWS
Benefits
The base salary range for this role is $120,000 to $145,000. iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO).
We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday.
For additional information on iCapital, please visit
https://www.icapitalnetwork.com/about-us
Twitter: @icapitalnetwork | LinkedIn:
https://www.linkedin.com/company/icapital-network-inc
| Awards Disclaimer:
https://www.icapitalnetwork.com/about-us/recognition/
iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Location: United States
Workplace: Remote
As a Strategic Account Executive for Financial Services, you will own a focused book of named financial services accounts — including banks, asset managers, exchanges, insurance carriers, and fintech platforms. You will be responsible for the full sales cycle: from identifying new use cases and building executive relationships to negotiating and closing complex, multi-stakeholder deals.
This is a high-impact individual contributor role for someone who thrives in a technical sales environment and wants to be a foundational part of building ClickHouse’s strategic sales motion in one of the most demanding verticals in the world.
What You’ll Do
- Own a named account list of strategic financial services organizations and develop deep, multi-threaded relationships across technical, business, and executive stakeholders
- Drive net new ARR and expansion revenue through a consultative, value-based sales approach
- Lead complex enterprise sales cycles, including procurement, legal, security review, and multi-product negotiations
- Partner closely with Solutions Architects to ensure technical alignment and long-term customer success
- Understand and articulate ClickHouse’s technical differentiation — including performance benchmarks, architecture, and deployment models — at a level of depth that earns credibility with data engineers, architects, and CTOs
- Develop and execute strategic account plans, identifying expansion opportunities and mapping the political landscape within each account
- Represent the voice of the customer internally, shaping product roadmap priorities and go-to-market strategy for the financial services vertical
- Travel to customer sites, conferences, and team offsites as needed (approximately 25–40%)
What We’re Looking For
- 7+ years of enterprise sales experience, with at least 3 years selling to financial services organizations (banking, capital markets, insurance, fintech, or asset management)
- Demonstrated track record closing large, complex deals ($500K+ ACV) with long sales cycles involving multiple stakeholders
- Experience selling technical infrastructure products — databases, data platforms, cloud infrastructure, developer tools, or similar — is required; you must be able to engage credibly in technical conversations
- Deep understanding of the financial services technology landscape, including data architecture patterns common in FS environments (real-time risk, fraud, trading analytics, regulatory reporting)
- Strong executive presence with the ability to build trusted advisor relationships at the C-suite and VP level
- Experience working in a high-growth, early-stage or scaling startup environment is strongly preferred
- Familiarity with MEDDIC, MEDDPICC, or similar enterprise sales methodologies
- Ability to work independently and navigate ambiguity in a fast-moving environment
Nice to Have
- Prior experience selling open-source or consumption-based products
- Experience with real-time analytics, time-series databases, OLAP, or columnar data systems
- Existing relationships with data/technology buyers at major financial institutions
PERKS
- Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries.
- Healthcare - Employer contributions towards your healthcare.
- Equity in the company - Every new team member who joins our company receives stock options.
- Time off - Flexible time off in the US, generous entitlement in other countries.
- A USD$500 Home office setup if you’re a remote employee.
- Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.
CULTURE - WE ALL SHAPE IT
As part of a rapidly scaling start-up, you will be instrumental in shaping our culture.
Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse.
EQUAL OPPORTUNITY & PRIVACY
ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.
Location: Philippines, Remote; Argentina, Remote; LATAM, Remote; APAC, Remote
Workplace: Remote
ABOUT TENKI
We started Tenki on the belief that compute is the new digital oil. As global demand for compute power accelerates, scalable and tradable compute is set to become one of the most valuable markets of our lifetime. Our goal is to become the leaders in harnessing, refining, and trading compute-unlocking a new asset class for the world’s most important digital resource.
Tenki connects producers of compute with a growing universe of consumers. Producers get transparent pricing, predictable settlement, and access to global demand. Consumers get simple, developer-friendly access to high-quality compute at competitive prices.
We’re currently building the consumer side, starting with GitHub Actions, enabling developers to offload workflows directly through Tenki. Soon, we’ll expand to a broad suite of cloud services like Virtual Machines, Databases, AI Agents, and more.
As we expand, our focus will broaden beyond consumers to include the supply side, enabling producers to offer compute through Tenki and later the development of financial instruments that support a more efficient and tradable compute market.
ABOUT THE ROLE
We are looking for a Golang Engineer to join a small but talent dense team building the future of compute markets. Although the role is remote, we need team members who can reliably work within our core time zones in LATAM (GMT-3) or the Philippines (GMT+8), and you should be fully comfortable communicating in English across our globally distributed team. This Position will report to the Tenki Engineer Manager.
In this role, you’ll help build the core infrastructure that powers Tenki’s. You will:
- Architect, maintain, and evolve our core gRPC API services, based on ConnectRPC
- Design and operate a private, programmable microservices fabric that securely connects our microservices across the platform
- Manage identity services on top of the Ory stack: Kratos, Keto, and Hydra
- Develop DDoS mitigation strategies - anticipating and countering adversaries.
- Build high-performance Golang gRPC services from the ground up, built to scale to millions of users - and eventually billions.
- Define and implement infrastructure following immutable principles, enabling full tear-down, failover, and rapid reconstruction.
- Drive ideas from concept to reality by writing clear Engineering Requirement Documents and translating them into actionable plans and measurable outcomes.
- Collaborate with our Applications (TypeScript) and Platform teams to expose robust, well-designed APIs for internal and future external consumers.
ABOUT YOU
- You are a proficient Golang engineer: You have deep experience building high-performance, concurrent applications and know how to squeeze performance out of the language when scaling to millions of users.
- You live and breathe APIs: You have a strong track record of architecting and maintaining gRPC services (bonus points for ConnectRPC) and creating robust, documented contracts for internal and external consumers.
- You understand Identity & Auth: You have implemented or managed identity services (Ory stack: Kratos, Keto, Hydra, or similar OIDC/OAuth2 providers) and understand the complexities of securing user data.
- You have a "Systems" mindset: You aren’t just an application developer; you understand the underlying overlay networking (e.g., WireGuard, service mesh) that connects microservices securely.
- You build for resilience and security: You have experience anticipating adversarial behavior (DDoS) and implementing mitigation strategies, perhaps leveraging eBPF or traffic shaping techniques.
- You practice Immutable Infrastructure: You design systems where servers are cattle, not pets - enabling full tear-down, failover, and rapid reconstruction without manual intervention.
- You define the standard: You don't just write code; you drive the engineering process by writing clear Engineering Requirement Documents and translating abstract concepts into actionable technical plans.
- You implement with care: You build the monitors, define the error boundaries, and document operational expectations so that the platform remains maintainable by others long after you’ve pushed the code.
- You thrive in ambiguity: You can set direction in an early-stage environment where priorities shift and clarity must be created, not awaited.
- You bring grit and ownership: You dive deep into problems, ship pragmatic solutions, scale them as demand grows, and replace them when the time comes.
We are building a startup within a startup. Tenki was born within Luxor http://www.luxor.tech as we expand our vision from mining compute to generalized compute. Learn more about how we work and our principles here https://www.notion.so/Luxor-Culture-ed37647662cd4060834afb9db7f543a1?pvs=21.
At Tenki we believe that meaningful contributions can be made by anyone. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Tenki welcomes all!
Tenki does not accept unsolicited headhunter and agency resumes. Tenki will not pay any third-party agency or company that does not have a signed agreement with Tenki.
HOW WE USE AI IN OUR HIRING PROCESS
We use AI tools to support certain parts of our hiring process, and we believe in being transparent about how they’re used.
During your application, AI may assist in reviewing CVs, qualifications, and assignments by providing additional insights, but it does not make decisions, every application is evaluated at each step by a member of our hiring team.
We also use AI to transcribe interviews so our team can stay focused on the conversation rather than note-taking. Any voice recordings are automatically deleted within 15 days.
In addition, AI helps us keep candidates informed about their application status and helps us understand how our process is working so we can improve it over time.
In all cases, AI is used to support efficiency and consistency, not to replace human judgment. If you have any questions about how we use these tools or your data, or if you would prefer to opt out of any of these features, please include them in the dedicated section of the application form, and we’ll follow up accordingly.
Location: Greenwich, Connecticut, United States
About the Role
iCapital is looking to hire an Assistant Vice President or Vice President Fund Attorney to join the Funds Legal team with a primary focus on U.S. and Cayman private funds. The scope of this role will include representing private funds, both open end and closed end, on a wide spectrum of matters including compliance and U.S. and international regulatory issues, capital raising, marketing, investor relations, fund formation and structuring, and corporate transactional matters. The ideal candidate has strong regulatory experience (including Regulation D and the Investment Company Act of 1940) as well as experience in both drafting and negotiating private fund documents, side letters, placement agreements and related fund materials.
Responsibilities
Negotiate various agreements with counterparties including fund managers and distribution agents.
Draft and review private fund offering materials, partnership agreements, and other private fund legal documentation.
Advise on the legal implications of offering new and existing products and services.
Coordinate outside legal counsel with respect to a variety of issues including regulatory, corporate and fund investment work.
Draft and review various contracts, non-disclosure agreements and other legal documentation.
Assist with regulatory filings and perform research projects as required.
Qualifications
4+ years of fund formation experience within the Investment Management space
Strong knowledge of the Investment Company Act of 1940, the Investment Advisers Act of 1940, the Securities Act of 1933, the Securities Exchange Act of 1934, and FINRA regulations
Member in good standing of Utah Bar, another state or jurisdiction
Law firm or in-house experience at an asset management firm is a plus
Strong interpersonal and leadership skills
Willingness to learn new topics and work in an evolving business environment
Organized and detail-oriented with big picture capability
Benefits
The base salary range for this role is $160,000 to $220,000. iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO).
We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday.
For additional information on iCapital, please visit
https://www.icapitalnetwork.com/about-us
Twitter: @icapitalnetwork | LinkedIn:
https://www.linkedin.com/company/icapital-network-inc
| Awards Disclaimer:
https://www.icapitalnetwork.com/about-us/recognition/
iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
УдалённоseniorUnited 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; 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
London, UK
London, UK
London, UK
УдалённоChina
Salt Lake City, Utah, United States
УдалённоUnited States
УдалённоAlthough the role is remote, we need team members who can reliably work within our core time zones in LATAM (GMT-3) or the Philippines (GMT+8), and you should be fully comfortable communicating in English across our globally distributed team; In addition, AI helps us keep candidates informed about their application status and helps us understand how our process is working so we can improve it over time; APAC, Remote
