Location: Limassol, Cyprus
Workplace: remote
Mayflower is a technology company building large-scale entertainment products for a global audience. Our platforms serve millions of users worldwide and rank among the top-50 most visited websites globally. For more than 10 years, we've been creating reliable, high-performance solutions at the intersection of product, engineering, and entertainment.
We’re looking for a hands-on
Content Specialist
to help grow platforms’s audience by finding promising videos on our platform, editing them, and publishing them on third-party sites.
Your main focus will be turning existing platform content into videos that attract viewers and bring new users to the platform. You’ll also experiment with original content and paid promotion to expand successful approaches.
Job Responsibilities
Find and select videos:
Explore platform content to identify videos with strong potential for external distribution. Refine selection criteria based on performance.
Edit and adapt content:
Cut footage, improve pacing, add branding and calls to action, and adapt videos to each platform’s formats and audience.
Prepare publication materials:
Create engaging titles, descriptions, thumbnails, and tracking links. Test different approaches to improve visibility and click-through rates.
Ensure proper content rights:
Verify and document creator consent and redistribution rights, and follow platform requirements in coordination with Legal.
Upload and manage videos:
Publish content on tube sites, and relevant third-party platforms. Maintain a consistent publishing schedule and keep accounts and content organized.
Optimize for growth:
Track views, engagement, and registrations with support from analysts. Use these insights to improve content selection, editing, and distribution.
Explore new opportunities:
Find additional platforms and test new video formats and publication approaches.
Produce original content:
Propose ideas and collaborate with creators on exclusive videos tailored to promising formats and audiences.
Run paid promotion tests:
Find advertising opportunities, purchase placements within agreed budgets, and evaluate results with the team.
You will thrive if you have…
2+ years of experience in content management, video production, or content distribution.
Hands-on video editing skills: you can independently turn source footage into a publishable video.
Good judgment in selecting engaging footage and creating effective titles and thumbnails.
Understanding of how content can drive traffic and attract new users.
Ability to use performance data to improve your work.
Strong English communication skills, written and spoken.
Ability to work independently, manage a regular publishing schedule, and meet deadlines.
Access to reliable high-speed internet.
Qualifications that can be a plus
Experience uploading and optimizing videos for tube platforms.
Familiarity with video SEO, platform discovery, and audience behavior.
Experience with paid promotion, advertising placements, or media buying.
Experience developing original content and working with creators or models.
Availability for collaboration during European working hours.
Conditions
We know that great talent deserves great conditions, so here's what you can expect when joining us:
Full remote work.
Competitive compensation with a service contract.
Transparent performance reviews twice a year, with bonus opportunities and salary adjustments.
An annual allowance that you can use for home office improvements, sports activities, equipment upgrades, and more—tailor it to what benefits you most.
Investment in your development: paid language courses, access to various learning platforms, and a mindfulness benefit, including psychological support with 50% coverage.
Career growth in a fast-scaling project with opportunities to influence technical decisions.
A culture of recognition: our peer reward program celebrates contributions from across the team.
This opportunity is also available for those who already live in
Limassol,
Cyprus.
EU-based employment contract and a 3-year Cyprus work visa.
Private medical insurance for you and your family, a corporate mobile plan (unlimited in Cyprus with roaming included), and interest-free support for car purchases.
50% coverage of school and kindergarten fees for your children.
Fully covered sports benefits, and also access to in-house electric scooters and bike rentals.
A fully equipped office in Limassol’s city center, with everything you need for deep work and collaboration.
Free catering in the office and an in-house coffee bar with high-quality drinks and a health bar stocked with nutritious snacks.
Benefits are provided in accordance with the company’s policies and eligibility criteria.
Recruitment process
HR interview (40 min);
Technical interview (1 hour);
Test task;
Final interview (1 hour);
Recommendations check;
Job Offer.
Location: Singapore, Singapore
OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa
About OKX
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me, Do the Right Thing, and Get Things Done. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About the Opportunity
The Trading Systems team builds the mission-critical order, execution, position, and risk infrastructure that powers OKX’s global trading platform. We operate at the intersection of high performance, correctness, resilience, and scale—where every design decision matters.
We are seeking a Senior C++ Software Engineer to lead the design and evolution of our trading counter and core trading systems. This role is for an engineer who combines deep systems expertise with strong ownership: someone who investigates root causes, raises the quality bar across the engineering lifecycle, and turns individual learning into reusable team capability.
What You’ll Be Doing
Lead the architecture, design, and development of complex, high-performance C++ trading systems.
Design reliable distributed systems, including consistency, fault tolerance, disaster recovery, and resilience strategies across system boundaries.
Own work end to end—from technical proposals and design reviews through framework refactoring, implementation, deployment, production debugging, replay, and validation.
Solve low-level systems challenges involving networking, protocols, concurrency, memory management, performance, and operating-system-level behaviour.
Drive architectural improvements by identifying systemic issues and anti-patterns, such as overly coupled or “God Class” designs, and redesigning components with clear responsibilities.
Build proactive quality safeguards, including automated testing, failure-injection scenarios, stability validation, monitoring, and replay-based verification.
Design controlled experiments to validate architectural assumptions and diagnose complex production issues beyond surface-level symptoms.
Work effectively across heterogeneous technology stacks, making sound engineering decisions at language, service, and platform boundaries.
Independently explore and apply AI-assisted engineering practices across code understanding, solution design, cross-review, incident analysis, test validation, and knowledge capture.
Raise engineering standards through thoughtful code reviews, technical discussions, and continuous improvements to development practices.
Mentor engineers and share practical knowledge through documentation, playbooks, technical sessions, and reusable frameworks.
What We Look For In You
Bachelor’s degree or above in Computer Science, Software Engineering, or a related STEM field; equivalent practical experience is also valued.
5+ years of hands-on software engineering experience, with substantial experience building production C++ systems.
Strong experience designing and evolving complex systems, with a clear understanding of architectural trade-offs.
Proven knowledge of concurrency, multithreading, network programming, and performance optimisation in Linux-based environments.
Hands-on experience with distributed consistency, high availability, fault tolerance, disaster recovery, or other system-level reliability designs.
Strong understanding of computer systems fundamentals, including networking protocols, operating systems, memory, storage, and runtime behaviour.
A track record of taking ownership proactively, from defining the problem to delivering and validating a robust solution.
Exceptional debugging and analytical ability, with a habit of investigating why issues occur—not simply applying short-term fixes.
Experience using automated tests, simulation, replay, or comparative experiments to validate system behaviour and reliability.
Clear communication skills and a collaborative mindset; able to turn experience into documentation, standards, and practices that help the whole team.
Nice to Haves
Experience with exchange, brokerage, trading counter, order management, execution, market data, or other low-latency financial systems.
Experience with event-driven architectures, messaging systems, or high-throughput distributed platforms.
Familiarity with Rust, Java, Go, Python, or other languages used in multi-language production environments.
Practical experience applying AI tools to improve software engineering workflows and code quality.
Experience working with globally distributed, cross-functional engineering teams.
Perks & Benefits
Competitive total compensation package
L&D programs and Education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: Serbia; Latvia; Lithuania; Ljubljana; Moldova; Belarus; Georgia; Kyrgyzstan; Uzbekistan; Azerbaijan; Armenia; Czech Republic; Portugal; Spain; Dubai
Workplace: remote
About the Team
We are Quadcode, a fintech company excelling in financial brokerage activities and delivering advanced financial products to our global clientele. Our flagship product, an internal trading platform, is offered as a Software-as-a-Service (SaaS) solution to other brokers.
About the role
We're looking for a Linux Administrator to join our Infrastructure team, responsible for building, operating and continuously improving all of our infrastructure services — from core services to observability and private clouds.
Our infrastructure supports the stable operation of a large-scale trading platform and includes 2,000+ virtual machines and 300+ physical servers, running predominantly on Ubuntu. The stack ranges from core services like LDAP, PowerDNS and NTP, to an observability stack (Prometheus, Thanos, Loki, Grafana, Jaeger) and private clouds based on OpenStack and Kubernetes, as well as services such as GitLab, Artifactory and Vault.
You’ll work in a team of experienced infrastructure engineers, using Scrum and Agile practices, with two-week sprints and a strong focus on automation, reliability and continuous improvement.
The position is full-time remote, with a flexible start time — anytime before 12:00 pm EET/EEST.
Why this role?
You’ll be part of the team responsible for the production environment behind products used by millions of users, working directly with development teams, helping them troubleshoot infrastructure-related issues and keep their services running reliably in production.
It’s a good fit for an engineer who enjoys troubleshooting, automation and making infrastructure more reliable and scalable, rather than simply maintaining servers.
Tasks
Oversee various services and associated infrastructure components, including DNS, Gitlab, Artifactory, Vault, Loki, Prometheus etc;
Perform day-to-day operational tasks such as upgrades, CVE patching, backup and restore, security scans, and monitoring;
Manage and support private clouds (Openstack and Kubernetes);
Design, configure, maintain and troubleshoot Linux systems across different environments, including bare metal, virtual machines and containers.
Resolve incidents, provide support coverage, categorize issues, conduct post-mortems, and perform root cause analysis;
Ensure environments are stable and adhere to availability SLAs;
Work towards reducing operational effort;
Automate repetitive operational tasks and continuously reduce manual effort;
Collaborate with development teams to troubleshoot infrastructure-related issues in production;
Keep infrastructure documentation and operational procedures up to date;
Engage in constant upskilling to stay updated with industry best practices.
Requirements
3+ years of professional experience as a Linux System Administrator, DevOps Engineer, or Site Reliability Engineer, with a focus on infrastructure.
Extensive experience in designing, building, configuring, and troubleshooting Linux servers across various environments (bare metal, container, cloud);
Experience with Linux server configuration, maintenance and troubleshooting in production.
Understanding of process control, logging and Linux service management.
Experience with infrastructure services such as Vault, Artifactory, DNS and similar platform components.
Proficiency with automation tools such as Chef, Ansible, or Salt;
Experience with Docker, Kubernetes and containerized environments;
Experience with monitoring and log aggregation tools like Grafana, ELK, or Graylog;
Experience in deploying and maintaining systems on cloud solutions such as OpenStack, VMware, Proxmox, or public cloud platforms such as AWS, GCP, Azure.
Skilled in scripting languages such as Bash and Python;
Familiarity with configuring various servers and databases, including Apache Tomcat, Nginx, MySQL DB, PostgreSQL, Kafka, RabbitMQ, etc;
Experience with DevOps tools and CI/CD workflows.
At least C1 in Russian and B1 in English.
Nice to have
Hands-on experience with Kubernetes, including troubleshooting workloads and cluster-related issues.
Hands-on experience with OpenStack, including deployment, configuration, maintenance or troubleshooting of private cloud environments.
Hands-on experience with Chef.
Experience with GitLab CI/CD, Jenkins or GitHub Actions.
Experience working with fintech/trading, or other high-load and mission-critical systems.
We offer
Full-time remote work (service provider contract).
Competitive compensation (EUR).
Flexible working hours.
Corporate AI subscriptions (Claude, Gemini, GPT, etc.).
Access to a rewards marketplace offering products and language courses, redeemable using the company’s internal currency.
A strong team of engineers.
Positive and friendly atmosphere.
With a team of 500+ creative and tech-driven people across the globe, Quadcode is the place where ideas turn into impact, where every project is a chance to grow, innovate, and make your mark.
Join us today, and let's shape the future of fintech together!
Note: All applications will be treated with strict confidence. We thank all applicants for their interest, however, only those candidates selected for interviews will be contacted.
#LI-JM1
Location: Singapore
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role: Network
Engineering Manager APAC / Network Team Lead APAC
We are looking for a
Staff Network Engineer / Player-Coach Team Lead
to lead the growth, deployment, and operational execution of our
APAC Network Infrastructure emerging team
. In this role, you will combine direct people leadership with high-end technical expertise. You will lead a growing regional team of
2–5 jun/mid-to-senior network engineers
, driving their professional development, cross-project prioritization across our
Global Network
, and overall execution aligned with global business objectives, with a priority on the
APAC Region
and backbone network development across EU and the US for APAC.
As a hands-on technical manager, you will remain deeply embedded in engineering execution, dedicating approximately
50–70% of your time to hands-on engineering
during your first year, with the role evolving naturally alongside organizational scale and regional team expansion.
Crucially, this position demands a high degree of
operational autonomy
. Due to the timezone differences, you will serve as the primary regional networking authority, bridging global network architecture defined with our EU/EMEA/the US engineering headquarters and regional execution across APAC colocation sites, cable landings, and data centers.
This position is remote within the APAC region (with preferred hubs in India, Singapore), with regular visits to regional DC facilities and our European headquarters in Amsterdam.
Your responsibilities will include:
Team Leadership & People Management
Deploy APAC network part and BackBone. Lead, mentor, and structurally develop a regional engineering team of 2–5 jun/mid-to-senior network engineers across the APAC.
Own regional task planning, backlog prioritization, change review governance, and end-to-end execution within the team.
Drive and owning the Launch and Deploy process of New DataCentre and Customer in it
Drive technical coaching, and personalized career roadmaps for team members.
Foster a disciplined culture of radical ownership, engineering excellence, comprehensive runbook documentation, and Git-driven automation.
Act as the regional net escalation point for production network incidents
Global Follow-the-Sun Alignment:
Co-own operational hand-off workflows and shared incident coverage with
EMEA (HQ in Amsterdam)
and the
US
network teams to guarantee seamless, round-the-clock global production network stability and customer workability.
Cross-Functional Alignment & Strategic Autonomy
Serve as the primary regional network owner for the next teams in APAC: datacenter operations team, site expansion teams.
EU/EMEA Coordination:
Actively partner with the Global Network Architecture and R&D to adapt core architectural standards (Clos fabrics, SRv6, backbone routing policies) to APAC market realities and carrier ecosystems.
Autonomously drive regional connectivity delivery: partner closely with Technical Program Managers (TPMs) on submarine cable systems, cross-border DCI circuits, local Internet Exchanges (IXs), and regional transit providers.
Coordinate with HWaaS, Compute, and Cloud Platform engineering teams to guarantee timely site bring-up, Day-0 Out-of-Band (OOB) readiness, and high-throughput fabric availability for production workloads.
Bridge the gap between global strategic roadmaps and autonomous local incident resolution, ensuring APAC operations execute reliably during EMEA off-hours.
Technical Leadership & Hands-on Work (50–60%)
Full Regional Network Ownership:
Own and guarantee overall network infrastructure readiness, capacity, and availability across emerging APAC network infrastructure, ensuring alignment with HQ blueprints and processes
Actively contribute to the design, deployment, and operation of massive data center fabrics and backbone infrastructure.
Support and participate in the evolution high-performance Ethernet-based GPU cluster interconnects.
Participate in complex, high-severity troubleshooting and root-cause analysis (RCA) for critical infrastructure incidents.
Oversee and contribute to network automation pipelines, tooling, and telemetry/observability development.
We expect you to have:
Expert-Level Technical Background:
Service Provider or/and Data Center Clos networks.
BGP, IS-IS, Segment Routing (SR-MPLS / SRv6), and advanced traffic balancing
Ethernet switching, EVPN-VXLAN architectures, and L3 VPNs.
Leadership Experience: Proven track record as a Tech Lead, Lead/Staff Engineer, or People Manager leading mid-to-senior engineering teams.
Vendor Ecosystem: Juniper, Arista, Cisco, NVIDIA
It will be an added bonus if you have:
Hands-on experience with GPU cluster, RoCEv2/ECN or InfiniBand networks
Solid understanding of Public Cloud networking models and Software-Defined Networking (SDN) overlays.
Proficiency in Python or Go for infrastructure automation and production tooling within Linux environments.
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: Zurich, Switzerland
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
As a Senior Machine Learning Engineer on the Applied AI team at Nebius Token Factory, you will own model and endpoint optimization from model artifacts through production deployment. Your work will span model internals, quantization and model compression, speculative decoding, KV-cache optimization, inference engines, serving architecture, and benchmarking to improve latency, throughput, memory efficiency, GPU utilization, and cost per token while preserving quality and reliability.
You will work with kernel and platform engineers to investigate serving problems, compare configurations, and resolve performance and quality regressions. You will evaluate model- and engine-level optimizations together with distributed inference designs, including request routing, scheduling, prefill/decode coordination, and multi-node GPU execution. Your improvements will be validated through reproducible benchmarks and safe production rollouts under real-world workloads.
Your responsibilities
Own optimization projects for specific model families, customer endpoints, or serving backends.
Compare inference engines and recommend serving configurations suited to individual workloads.
Diagnose model-quality and performance regressions during production rollouts.
Improve LLM and VLM endpoint latency, throughput, memory efficiency, GPU utilization, quality, and cost per token.
Deploy, configure, benchmark, and extend engines such as vLLM, SGLang, TensorRT-LLM, Triton Inference Server, and NVIDIA Dynamo.
Develop production model-compression workflows covering quantization, quantization-aware training, distillation, low-bit serving, and accuracy recovery.
Implement or integrate speculative decoding, draft-model approaches, KV-cache optimization, prefix caching, chunked prefill, continuous batching, and disaggregated prefill/decode serving. For prefill–decode disaggregation (PDD), evaluate KV-cache transfer, worker placement, and capacity balancing to determine which workloads benefit from the architecture.
Design and improve LLM request routers and scheduling policies that balance worker utilization, queueing, request characteristics, and KV-cache locality while meeting latency and reliability targets.
Scale dense and mixture-of-experts inference across multiple GPU nodes. Select and tune tensor, pipeline, data, and expert parallelism—including wide expert parallelism (WideEP)—with attention to hardware topology, expert load balance, and communication overhead.
Build reproducible benchmark harnesses measuring TTFT, TPOT, tokens per second per GPU, p95/p99 latency, GPU memory, reliability, and cost per token. Validate architecture choices under representative traffic and consistent GPU budgets.
Collaborate with GPU kernel and platform engineers to trace bottlenecks across model code, kernels, runtime, scheduler, gateway, and cluster layers.
Produce design documents, performance reports, rollout plans, and customer-facing technical explanations.
Must-haves
Strong engineering skills in Python and PyTorch.
Hands-on experience deploying or optimizing LLM, VLM, or high-throughput transformer inference.
Practical knowledge of at least one modern inference stack, such as vLLM, SGLang, TensorRT-LLM, Triton Inference Server, NVIDIA Dynamo, Ray Serve, KServe, or an equivalent internal system.
A strong understanding of transformer inference bottlenecks involving KV cache, attention, memory bandwidth, batching, parallelism, and long-context serving.
Ability to quantify trade-offs among latency, throughput, quality, utilization, and cost.
Experience designing or optimizing distributed inference system architecture, with hands-on work in one or more areas such as request routing, distributed scheduling, PDD, multi-node inference, or expert parallelism.
Strong communication and collaboration skills across research, kernel, infrastructure, product, and customer teams.
Nice-to-haves
Experience with quantization-aware training, post-training quantization, FP8, INT8, INT4, NVFP4, MXFP4, AWQ, GPTQ, or SmoothQuant.
Experience with distillation, speculative decoding, EAGLE, Medusa, multi-token prediction, or related inference acceleration methods.
Experience supporting agentic workloads involving tool calling, structured outputs, streaming APIs, high concurrency, and multi-step orchestration.
Familiarity with CUDA or Triton; the role does not require kernel engineering to be the candidate’s primary specialization.
Contributions to open-source projects such as vLLM, SGLang, TensorRT-LLM, FlashInfer, LMCache, PyTorch, Triton, Ray, or KServe.
Implementation experience with cache-aware request routing, PDD, or WideEP, including diagnosing communication bottlenecks and load imbalance.
Familiarity with GPU communication libraries and interconnects, such as NCCL, NVLink, InfiniBand, or RoCE.
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: Amsterdam, Netherlands; Berlin, Germany; Israel; Remote - Europe
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
As a Senior Machine Learning Engineer on the Applied AI team at Nebius Token Factory, you will own model and endpoint optimization from model artifacts through production deployment. Your work will span model internals, quantization and model compression, speculative decoding, KV-cache optimization, inference engines, serving architecture, and benchmarking to improve latency, throughput, memory efficiency, GPU utilization, and cost per token while preserving quality and reliability.
You will work with kernel and platform engineers to investigate serving problems, compare configurations, and resolve performance and quality regressions. You will evaluate model- and engine-level optimizations together with distributed inference designs, including request routing, scheduling, prefill/decode coordination, and multi-node GPU execution. Your improvements will be validated through reproducible benchmarks and safe production rollouts under real-world workloads.
Your responsibilities
Own optimization projects for specific model families, customer endpoints, or serving backends.
Compare inference engines and recommend serving configurations suited to individual workloads.
Diagnose model-quality and performance regressions during production rollouts.
Improve LLM and VLM endpoint latency, throughput, memory efficiency, GPU utilization, quality, and cost per token.
Deploy, configure, benchmark, and extend engines such as vLLM, SGLang, TensorRT-LLM, Triton Inference Server, and NVIDIA Dynamo.
Develop production model-compression workflows covering quantization, quantization-aware training, distillation, low-bit serving, and accuracy recovery.
Implement or integrate speculative decoding, draft-model approaches, KV-cache optimization, prefix caching, chunked prefill, continuous batching, and disaggregated prefill/decode serving. For prefill–decode disaggregation (PDD), evaluate KV-cache transfer, worker placement, and capacity balancing to determine which workloads benefit from the architecture.
Design and improve LLM request routers and scheduling policies that balance worker utilization, queueing, request characteristics, and KV-cache locality while meeting latency and reliability targets.
Scale dense and mixture-of-experts inference across multiple GPU nodes. Select and tune tensor, pipeline, data, and expert parallelism—including wide expert parallelism (WideEP)—with attention to hardware topology, expert load balance, and communication overhead.
Build reproducible benchmark harnesses measuring TTFT, TPOT, tokens per second per GPU, p95/p99 latency, GPU memory, reliability, and cost per token. Validate architecture choices under representative traffic and consistent GPU budgets.
Collaborate with GPU kernel and platform engineers to trace bottlenecks across model code, kernels, runtime, scheduler, gateway, and cluster layers.
Produce design documents, performance reports, rollout plans, and customer-facing technical explanations.
Must-haves
Strong engineering skills in Python and PyTorch.
Hands-on experience deploying or optimizing LLM, VLM, or high-throughput transformer inference.
Practical knowledge of at least one modern inference stack, such as vLLM, SGLang, TensorRT-LLM, Triton Inference Server, NVIDIA Dynamo, Ray Serve, KServe, or an equivalent internal system.
A strong understanding of transformer inference bottlenecks involving KV cache, attention, memory bandwidth, batching, parallelism, and long-context serving.
Ability to quantify trade-offs among latency, throughput, quality, utilization, and cost.
Experience designing or optimizing distributed inference system architecture, with hands-on work in one or more areas such as request routing, distributed scheduling, PDD, multi-node inference, or expert parallelism.
Strong communication and collaboration skills across research, kernel, infrastructure, product, and customer teams.
Nice-to-haves
Experience with quantization-aware training, post-training quantization, FP8, INT8, INT4, NVFP4, MXFP4, AWQ, GPTQ, or SmoothQuant.
Experience with distillation, speculative decoding, EAGLE, Medusa, multi-token prediction, or related inference acceleration methods.
Experience supporting agentic workloads involving tool calling, structured outputs, streaming APIs, high concurrency, and multi-step orchestration.
Familiarity with CUDA or Triton; the role does not require kernel engineering to be the candidate’s primary specialization.
Contributions to open-source projects such as vLLM, SGLang, TensorRT-LLM, FlashInfer, LMCache, PyTorch, Triton, Ray, or KServe.
Implementation experience with cache-aware request routing, PDD, or WideEP, including diagnosing communication bottlenecks and load imbalance.
Familiarity with GPU communication libraries and interconnects, such as NCCL, NVLink, InfiniBand, or RoCE.
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: Sofia, Bulgaria
Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry’s digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.
We are looking for a Partner Success Manager to facilitate manufacturing partners' success by expediting task completion, reassignment, or escalation to leadership based on the nature of the request. As our first line of defense against requests languishing in queues and losing valuable production time, you will orchestrate task completion throughout the order/job life cycle, serving as a primary point of contact for the partner community, ensuring seamless communication, proactively addressing challenges, and maintaining clear visibility throughout the production process.
This role requires exceptional interpersonal, queue management, and cross-software platform expertise, paired with notable strengths in collaboration, organizational understanding, and a dedication to exceeding partner expectations and delivering organizational results. You will also contribute to the broader team by providing support, as necessary, to facilitate throughput and success during peak periods.
How You'll Contribute:
Serve as the primary tactical driver for partner success, proactively resolving critical production blockers such as unexpected cost or lead time discrepancies, freight inquiries, and label generation issues
Manage the end-to-end resolution of job cancellation requests and missing inspection documents
Oversee PSS dispute resolutions
Maintain constant awareness of communication queues to ensure tasks are prioritized effectively and prevent production stalls
Facilitate the recovery of troubled orders and execute pull-in requests to meet month-end and quarter-end goals
Collaborate cross-functionally with internal Operations and Quality CoE teams to bridge communication gaps and optimize manufacturing outcomes
Build trust-based relationships with the partner community, providing transparent updates on project status and quality requirements
Identify process automation opportunities and maintain rigorous documentation for revenue recognition
Provide peer coverage to ensure continuous support
Escalate complex risks to leadership while strictly adhering to Xometry's quality management systems
What You'll Bring to Xometry:
Bachelor's degree in Supply Chain, Engineering, Business Administration, or a related technical field (or equivalent experience)
4+ years of experience in supply chain and/or customer service, preferably in manufacturing operations
Proven track record of successfully managing and meeting schedule commitments by managing expectations of an identified customer group
Knowledge of manufacturing processes, timelines, and documentation
Strong analytical skills with the ability to implement solutions keeping production underway
Self-starter with a take-charge attitude and ability to independently drive project completion
Excellent organizational skills, demonstrated ability to multitask, and understanding of our communication platform's interface while tenaciously working to meet deadlines
Superior verbal and written communication skills with the ability to effectively manage relationships with all stakeholders
Excellent attention to detail and collaboration skills
Proficiency in ERP tools and communication software
Experience with quality management systems (e.g., ISO 9001)
Ability to thrive in a fast-paced and high-growth environment
Experience working with Xometry's digital marketplace or similar platforms is a plus
Proficiency in data analysis tools (e.g., Google Sheets) is a plus
Experience working in a manufacturing environment is a plus
Conditions
Language skills:
English C1+
Holiday calendar:
USA holidays
Time Zone:
Eastern Time - USA
Benefits:
Competitive salary and a comprehensive benefits package
Health and life insurance
Generous paid time off, including vacation, sick leave, and floating and fixed holidays
Employee Assistance Program (EAP) and other wellbeing resources
Team Spirit and Friendly Atmosphere:
We work in an open, friendly, and trusting environment that welcomes initiative. In the Xometry team, everyone is ready to help and support in difficult times, and we always celebrate victories together and appreciate the contribution of everyone.
Development Opportunities:
We are a fast-growing company, and each new task is an interesting challenge for the team.
We Care:
We offer ongoing, free of charge well-being activities for our people and charity projects worldwide.
Flexibility:
Speed and flexibility are some of our advantages, allowing us to achieve amazing results. We have flexible processes and planning, we can respond to rapidly changing conditions, and we remain effective in the face of uncertainty.
Onboarding:
We provide a well-structured onboarding plan for new employees, combining all process, technology, and systems components into one.
Apply now and become part of our journey!
#LI-Remote
#Promoted
Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
Please read our
privacy policy
here.
Location: Sofia, Bulgaria
Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry’s digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.
We are looking for a Customer Success Manager to facilitate our customers' success by expediting task completion, reassignment, or escalation to leadership based on the nature of the request. As our second line of defense against requests languishing in queues and losing valuable delivery time, you will orchestrate task completion throughout the order/job life cycle, serving as a primary point of contact for the customer community, ensuring seamless communication, proactively addressing challenges, and maintaining clear visibility throughout the order process.
This role requires exceptional interpersonal, queue management, and cross-software platform expertise, paired with notable strengths in collaboration, organizational understanding, and a dedication to exceeding customer expectations and delivering organizational results. You will also contribute to the broader team by providing support, as necessary, to facilitate throughput and success during peak periods.
How You'll Contribute:
Serve as the primary liaison for customers, facilitating seamless communication and building trust-based relationships throughout the order life cycle
Orchestrate the order process by maintaining awareness of communication queues to ensure work is prioritized effectively
Perform regular portfolio reviews to document progress and identify potential delays
Coordinate with Partner Success Managers to mitigate risks before they impact customer satisfaction
Identify technical blockers and building process issues that could stall order fulfillment
Manage and resolve customer escalations cross-functionally, including determining when an order should be reassigned to a different manufacturing partner and managing the implications of doing so
Collaborate with internal Operations and Product teams to bridge communication gaps and implement solutions that keep orders on track during peak periods
Negotiate order adjustments, credits, or resolutions resulting from quality issues or delivery misses
Maintain accurate documentation in central databases, ensuring all case activity adheres to quality management systems and safety procedures
Identify opportunities for process automation and provide peer support to ensure continuous coverage of Customer Success Team activities
What You'll Bring to Xometry:
Bachelor's degree in Supply Chain, Engineering, Business Administration, or a related technical field (or equivalent experience)
Minimum of 4 years of experience in customer success, account management, and/or customer service, preferably in manufacturing operations
Proven track record of successfully managing and meeting schedule commitments by managing expectations of an identified customer group
Knowledge of manufacturing processes, timelines, and documentation
Strong analytical skills with the ability to implement solutions keeping orders on track
Self-starter with a take-charge attitude and ability to independently drive project completion
Excellent organizational skills, demonstrated ability to multitask, and understanding of our communication platform's interface while tenaciously working to meet deadlines
Superior verbal and written communication skills with the ability to effectively manage relationships with all stakeholders
Excellent attention to detail and collaboration skills
Proficiency in ERP tools and communication software
Experience with quality management systems (e.g., ISO 9001)
Ability to thrive in a fast-paced and high-growth environment
Experience working with Xometry's digital marketplace or similar platforms is a plus
Proficiency in data analysis tools (e.g., Google Sheets) is a plus
Experience working in a manufacturing environment is a plus
Conditions
Language skills:
English C1+
Holiday calendar:
USA holidays
Time Zone:
Eastern Time - USA
Benefits:
Competitive salary and a comprehensive benefits package
Health and life insurance
Generous paid time off, including vacation, sick leave, and floating and fixed holidays
Employee Assistance Program (EAP) and other wellbeing resources
Team Spirit and Friendly Atmosphere:
We work in an open, friendly, and trusting environment that welcomes initiative. In the Xometry team, everyone is ready to help and support in difficult times, and we always celebrate victories together and appreciate the contribution of everyone.
Development Opportunities:
We are a fast-growing company, and each new task is an interesting challenge for the team.
We Care:
We offer ongoing, free of charge well-being activities for our people and charity projects worldwide.
Flexibility:
Speed and flexibility are some of our advantages, allowing us to achieve amazing results. We have flexible processes and planning, we can respond to rapidly changing conditions, and we remain effective in the face of uncertainty.
Onboarding:
We provide a well-structured onboarding plan for new employees, combining all process, technology, and systems components into one.
Apply now and become part of our journey!
#LI-Remote
#Promoted
Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
Please read our
privacy policy
here.
Location: Limassol, Cyprus
Workplace: remote
Mayflower is an international technology company behind products used by millions of people worldwide. For more than 10 years, we've been growing profitable global businesses, bringing together talented professionals across technology, product, marketing, and operations.
We are looking for a Compliance Operations Manager to take end-to-end ownership of traffic and content compliance across one of our digital platforms.
You will develop and operate a scalable compliance framework for monitoring affiliate partners and digital traffic sources, identifying prohibited or risk activity, investigating incidents, and continuously improving preventive and detective controls.
This is a hands-on ownership role for someone who can independently assess risks, establish effective processes, and turn compliance requirements into practical operational and technical solutions. You will work closely with Product, Engineering, Data, Legal, Risk, and commercial teams.
Job Responsibilities
Own, develop, and update the traffic and content compliance framework, policies, SOPs, and risk-scoring mechanisms.
Audit digital traffic channels, landing pages, and promotional materials to detect prohibited content, cloaking, redirect manipulation, and suspicious attribution patterns.
Lead root-cause investigations into compliance violations, coordinate corrective actions, enforce partner restrictions, and track remediation.
Partner with Product, Engineering, and Data teams to define requirements for automated risk-scoring, internal compliance tools, and external monitoring solutions.
Track compliance metrics, analyse recurring risk trends, and deliver clear, decision-ready reporting to management.
Ensure documentation remains audit-ready for payment partners and regulators; stay updated on payment-network and industry regulatory shifts.
Provide functional direction and quality standards for compliance analysts, and deliver internal training on monitoring and enforcement processes.
You’ll thrive here if you have
5+ years in Compliance Operations, Risk, Fraud Prevention, or Traffic Quality (hands-on experience in traffic compliance, affiliate marketing, and ad networks required).
Solid understanding of tracking signals (URLs, redirects, referrers, cookies, device fingerprints) and ability to assess risk using incomplete attribution data.
Proven background conducting operational audits, implementing SOPs/compliance policies, and managing root-cause incident investigations.
Experienced in team leadership, managing cross-functional initiatives, and translating compliance needs into Product, Engineering, and Data requirements.
Ability to define compliance KPIs, build clear executive reports, and make sound, analytical decisions under pressure.
Upper-Intermediate English or higher.
Nice to Have:
Knowledge of payment provider, acquiring bank, or card network compliance standards.
Experience detecting cloaking, brand misuse, redirect manipulation, and prohibited content.
Familiarity with OSINT, web scraping, SQL/Python, BI tools, or LLM-based automation.
Relevant professional certifications (compliance, auditing, risk, or fraud prevention).
What Success Looks Like
A risk-based traffic and content compliance framework is actively implemented and enforced.
High-risk traffic sources and compliance incidents are quickly identified, audited, and resolved.
Automated and manual monitoring controls effectively reduce repeat violations.
Management receives clear, data-driven visibility into traffic compliance risks.
All processes, evidence, and records remain continuously audit-ready for external partners.
Conditions
We know that great talent deserves great conditions, so here's what you can expect when joining us:
Full remote work.
Competitive compensation with a service contract.
Transparent performance reviews twice a year, with bonus opportunities and salary adjustments.
An annual allowance that you can use for home office improvements, sports activities, equipment upgrades, and more—tailor it to what benefits you most.
Investment in your development: paid language courses, access to various learning platforms, and a mindfulness benefit, including psychological support with 50% coverage.
Career growth in a fast-scaling project with opportunities to influence technical decisions.
A culture of recognition: our peer reward program celebrates contributions from across the team.
This opportunity is also available for those who already live in
Limassol,
Cyprus.
EU-based employment contract and a 3-year Cyprus work visa.
Provident fund (Cyprus): a long-term savings plan co-funded by you and the Company together (available after probation) that grows throughout your time with us in Cyprus.
Private medical insurance for you and your family, a corporate mobile plan (unlimited in Cyprus with roaming included), and interest-free support for car purchases.
50% coverage of school and kindergarten fees for your children.
Fully covered sports benefits, and also access to in-house electric scooters and bike rentals.
A fully equipped office in Limassol’s city center, with everything you need for deep work and collaboration.
Free catering in the office and an in-house coffee bar with high-quality drinks and a health bar stocked with nutritious snacks.
Benefits are provided in accordance with the company’s policies and eligibility criteria.
Location: India, Bangalore
Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry’s digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.
We are looking for a Customer Success Manager to facilitate our customers' success by expediting task completion, reassignment, or escalation to leadership based on the nature of the request. As our second line of defense against requests languishing in queues and losing valuable delivery time, you will orchestrate task completion throughout the order/job life cycle, serving as a primary point of contact for the customer community, ensuring seamless communication, proactively addressing challenges, and maintaining clear visibility throughout the order process.
This role requires exceptional interpersonal, queue management, and cross-software platform expertise, paired with notable strengths in collaboration, organizational understanding, and a dedication to exceeding customer expectations and delivering organizational results. You will also contribute to the broader team by providing support, as necessary, to facilitate throughput and success during peak periods.
How You'll Contribute:
Serve as the primary liaison for customers, facilitating seamless communication and building trust-based relationships throughout the order life cycle
Orchestrate the order process by maintaining awareness of communication queues to ensure work is prioritized effectively
Perform regular portfolio reviews to document progress and identify potential delays
Coordinate with Partner Success Managers to mitigate risks before they impact customer satisfaction
Identify technical blockers and building process issues that could stall order fulfillment
Manage and resolve customer escalations cross-functionally, including determining when an order should be reassigned to a different manufacturing partner and managing the implications of doing so
Collaborate with internal Operations and Product teams to bridge communication gaps and implement solutions that keep orders on track during peak periods
Negotiate order adjustments, credits, or resolutions resulting from quality issues or delivery misses
Maintain accurate documentation in central databases, ensuring all case activity adheres to quality management systems and safety procedures
Identify opportunities for process automation and provide peer support to ensure continuous coverage of Customer Success Team activities
What You'll Bring to Xometry:
Bachelor's degree in Supply Chain, Engineering, Business Administration, or a related technical field (or equivalent experience)
Minimum of 4 years of experience in customer success, account management, and/or customer service, preferably in manufacturing operations
Proven track record of successfully managing and meeting schedule commitments by managing expectations of an identified customer group
Knowledge of manufacturing processes, timelines, and documentation
Strong analytical skills with the ability to implement solutions keeping orders on track
Self-starter with a take-charge attitude and ability to independently drive project completion
Excellent organizational skills, demonstrated ability to multitask, and understanding of our communication platform's interface while tenaciously working to meet deadlines
Superior verbal and written communication skills with the ability to effectively manage relationships with all stakeholders
Excellent attention to detail and collaboration skills
Proficiency in ERP tools and communication software
Experience with quality management systems (e.g., ISO 9001)
Ability to thrive in a fast-paced and high-growth environment
Experience working with Xometry's digital marketplace or similar platforms is a plus
Proficiency in data analysis tools (e.g., Google Sheets) is a plus
Experience working in a manufacturing environment is a plus
Conditions
Language skills:
English C1+
Holiday calendar:
USA holidays
Time Zone:
Eastern Time - USA
Benefits:
Competitive salary and a comprehensive benefits package
Health and life insurance
Generous paid time off, including vacation, sick leave, and floating and fixed holidays
Employee Assistance Program (EAP) and other wellbeing resources
Team Spirit and Friendly Atmosphere:
We work in an open, friendly, and trusting environment that welcomes initiative. In the Xometry team, everyone is ready to help and support in difficult times, and we always celebrate victories together and appreciate the contribution of everyone.
Development Opportunities:
We are a fast-growing company, and each new task is an interesting challenge for the team.
We Care:
We offer ongoing, free of charge well-being activities for our people and charity projects worldwide.
Flexibility:
Speed and flexibility are some of our advantages, allowing us to achieve amazing results. We have flexible processes and planning, we can respond to rapidly changing conditions, and we remain effective in the face of uncertainty.
Onboarding:
We provide a well-structured onboarding plan for new employees, combining all process, technology, and systems components into one.
Apply now and become part of our journey!
#LI-Remote
#Promoted
Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
Please read our
privacy policy
here.
Location: Georgia; Belarus; Armenia; Serbia; Moldova; Kyrgyzstan; Uzbekistan; Dubai; Estonia; Finland; Greece; Montenegro; Poland; Romania; Bulgaria
Workplace: remote
About the Team
We are Quadcode, a fintech company excelling in financial brokerage activities and delivering advanced financial products to our global clientele. Our flagship product, an internal trading platform, is offered as a Software-as-a-Service (SaaS) solution to other brokers.
About the role
We’re looking for a Linux Administrator to join our Ops team — a team working at the intersection of infrastructure and software development, supporting applications built with PHP and Go.
The Ops team is responsible for keeping the infrastructure and services behind our products stable, secure and reliable in production. The team works across virtual machines, databases, CI/CD, monitoring, automation and internal platform services such as Thanos, Prometheus, Grafana, Ceph and profiling systems.
Our infrastructure supports the stable operation of a large-scale trading platform and includes 2,000+ virtual machines and 300+ physical servers, running predominantly on Ubuntu.
We work with Scrum, Agile and a data-driven approach, with two-week sprints and a strong focus on continuous improvement.
The position is full-time remote, with a flexible start time — anytime before 12:00 pm EET/EEST.
Why this role?
You won’t be focused on just maintaining servers or working with isolated infrastructure components.
You’ll be part of the team responsible for the production environment behind products used by millions of users, working directly with development teams, helping them troubleshoot infrastructure-related issues and keep their services running reliably in production.
It’s a good fit for an engineer who enjoys troubleshooting, automation and making infrastructure more reliable and scalable, rather than simply maintaining servers.
Tasks
Administer Linux servers (Ubuntu) across development and production environments.
Administer PostgreSQL databases and Greenplum clusters, including performance and reliability troubleshooting.
Administer and support KeyDB, ClickHouse and Kafka.
Configure and maintain infrastructure services such as Nginx, Jenkins, GitLab CI, DataHub, Allure and Airflow.
Automate infrastructure and operational tasks using Ansible, as well as scripting with Python, Bash and other languages.
Work with Docker and Kubernetes environments, including application deployments using Helm.
Monitor production systems, troubleshoot incidents and improve system performance and reliability.
Build and maintain CI/CD pipelines, working with tools such as GitLab CI and Jenkins.
Work with OpenStack and AWS infrastructure.
Support development teams with infrastructure-related issues and their working environments.
Work closely with the Infrastructure team to troubleshoot issues and coordinate infrastructure changes, including new hardware provisioning.
Contribute to security practices and PCI DSS requirements.
Requirements
3+ years of hands-on experience administering Linux servers in production environments.
Strong practical knowledge of Linux internals, networking, system services and troubleshooting.
Experience administering PostgreSQL and/or Greenplum.
Experience with containerization and orchestration technologies, including Docker and Kubernetes.
Hands-on experience with Ansible for infrastructure automation.
Good scripting skills with Python and/or Bash.
Hands-on experience with CI/CD, particularly GitLab CI and/or Jenkins.
Experience with monitoring, logging and system profiling, particularly Prometheus and Grafana.
Fluent Russian (C2 or higher) for communication with the team.
English B1+ for technical documentation and written communication.
Nice to have
DBA experience, including hands-on administration of databases and data infrastructure.
Experience with Patroni.
Experience supporting high-load or distributed production systems.
Experience with AWS and OpenStack.
Experience with PCI DSS.
Experience reading and/or writing code in PHP/Go.
Experience with Ceph.
Experience with fintech/trading.
We offer
Full-time remote work (service provider contract).
Competitive compensation (EUR).
Flexible working hours.
Corporate AI subscriptions (Claude, Gemini, GPT, etc.).
Access to a rewards marketplace offering products and language courses, redeemable using the company’s internal currency.
A strong team of engineers.
Positive and friendly atmosphere.
With a team of 500+ creative and tech-driven people across the globe, Quadcode is the place where ideas turn into impact, where every project is a chance to grow, innovate, and make your mark.
Join us today, and let's shape the future of fintech together!
Note: All applications will be treated with strict confidence. We thank all applicants for their interest, however, only those candidates selected for interviews will be contacted.
#LI-JM1
Location: Hong Kong, Hong Kong SAR
OKX will be prioritising applicants who have a current right to work in Hong Kong, and do not require OKX's sponsorship of a visa.
Please note that Hong Kong is a group-level service hub, and
OKX
does not carry on
a business of
operating a virtual asset trading platform in Hong Kong.
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er.
OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About The Opportunity
We are looking for talented, impact-driven Mobile Engineers to join our engineering organization in Hong Kong. In this role, you will build and scale high-performance, resilient native mobile applications that power OKX’s core product ecosystems—ranging from high-concurrency payment and trading engines to user acquisition, engagement, and product growth systems. You will work on cross-functional engineering challenges at global scale, partnering closely with product design, backend architecture, security, and regional teams.
What You'll Be Doing
Build & Scale Native Mobile Apps:
Design, develop, and maintain modular, reliable native mobile features (iOS or Android) used by millions of global users.
Architect Core Systems:
Drive technical decision-making on mobile architecture, API design, performance optimization, and offline/network resiliency.
Collaborate Cross-Functionally:
Partner closely with Product Management, Design, and Backend Engineering to translate complex user and commercial requirements into intuitive, reliable mobile experiences.
Ensure Quality & Rigor:
Write clean, testable, and maintainable code while maintaining high engineering standards for code reviews, testing, security, and monitoring.
Integrate AI Workflows:
Apply AI coding tools actively in your workflow—not only for code generation, but also to build and maintain repeatable personal AI development workflows.
Modernize Engineering Tooling:
Leverage modern development tools, automated CI/CD pipelines, and productivity workflows to maintain rapid iteration speeds.
What We Look For In You
Solid software engineering fundamentals with hands-on experience building, shipping, or maintaining production native mobile applications (iOS with Swift/Objective-C or Android with Kotlin/Java).
Strong understanding of mobile system design, clean architecture, memory management, testing, and performance tuning.
Ability to actively apply AI coding tools in your workflow and continuously optimize personal engineering productivity.
Problem-solving mindset with the ability to take ownership of end-to-end features and drive execution independently.
Nice-To-Haves
Experience in fintech, crypto, digital payments, high-concurrency consumer apps, or growth systems.
Familiarity with mobile architecture patterns, CI/CD pipelines, experimentation frameworks, or attribution tools.
Perks & Benefits
Competitive total compensation package
L&D programs and Education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
#LI-ML1 #LI-ONSITE
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As Claude's capabilities grow, so does our responsibility to ensure those capabilities reach the right people. The Access Programs team builds the systems that verify who our customers are, grant access to advanced model capabilities for approved use cases, and ensure that access is not misused. As a software engineer on this team, you will build the identity, vetting, and access management infrastructure that underpins our trusted access programs, along with the monitoring and enforcement tooling that keeps them safe. This work sits at the center of how Anthropic deploys frontier capabilities responsibly, balancing broad access with rigorous safeguards.
Responsibilities:
Build identity verification and vetting systems (KYC/KYB) that establish who our individual and business customers are
Design and implement access control systems that grant, scope, and revoke access to advanced capabilities based on approved use cases
Build infrastructure to configure safety systems and detection thresholds on a per-customer basis for trusted access programs
Develop monitoring to detect misuse of expanded access, and tooling that enables enforcement teams to act on it
Partner closely with policy, enforcement, threat intelligence, product, research, and go-to-market teams so that access decisions are well-informed and consistently applied
Build systems that identify account compromise and takeover, apply mitigations in real time, and carry affected accounts through to full remediation
Design and build the dashboards, alerting, and internal admin tooling that give the team and its partners clear visibility into the health and outcomes of our access programs
Integrate with third-party identity verification and data enrichment vendors
You may be a good fit if you have:
A Bachelor's degree in Computer Science, Software Engineering, or comparable experience
Experience building and operating backend systems in production
Strong coding skills in at least one general-purpose programming language, and experience building software with AI coding tools
Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders
Care about the societal impacts of AI and want your work to make powerful systems safer
Strong candidates may also:
8+ years of industry software engineering experience
Experience building shared platforms or foundational services that many teams and products depend on, rather than one-off solutions for a single use case
A track record of working across functions (for example engineering, product, policy, operations, and go-to-market) to gather requirements, reconcile competing needs, and drive adoption of what you build
Experience with identity, authentication, or authorization systems at scale
Experience with KYC/KYB workflows or identity verification vendors
Experience in trust and safety, integrity, fraud, or abuse detection
Experience detecting and responding to account takeover or credential compromise
Experience partnering with operational teams to build custom internal tooling
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:
$320,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
We are looking for software engineers to help build safety and oversight mechanisms for our AI systems. As a software engineer on the Safeguards team, you will work to monitor models, prevent misuse, and ensure user well-being. This role will focus on building systems to detect unwanted model behaviors and prevent disallowed use of models. You will apply your technical skills to uphold our principles of safety, transparency, and oversight while enforcing our terms of service and acceptable use policies.
Responsibilities:
Develop monitoring systems to detect unwanted behaviors from our API partners and potentially take automated enforcement actions; surface these in internal dashboards to analysts for manual review
Build abuse detection mechanisms and infrastructure
Surface abuse patterns to our research teams to harden models at the training stage
Build robust and reliable multi-layered defenses for real-time improvement of safety mechanisms that work at scale
You may be a good fit if you have:
A Bachelor’s degree in Computer Science, Software Engineering or comparable experience
Proficiency in Python and Typescript
An ability to work across the stack
Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders
Strong candidates may also:
8+ years of experience in a software engineering position
Have experience with integrity, spam, fraud, or abuse detection and mitigation
Have experience building trust and safety detection mechanisms and intervention for AI/ML systems
Have experience with prompt engineering, jailbreak attacks, and other adversarial inputs
Have worked closely with operational teams to build custom internal tooling
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:
$320,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Remote
Wormhole Labs builds Sunrise (sunrise.xyz http://sunrise.xyz), a platform that helps token issuers launch and list their tokens on Solana. To date, we've orchestrated the launch of 100+ assets on Solana, accounting for more than $10 billion in cumulative trading volume.
As a Trader, you'll develop and run strategies for tokenized equities, pricing and hedging risk across onchain markets and traditional brokerage venues. You'll be responsible for managing capital and writing the code that puts your strategies into production. This is a hybrid trading and engineering role.
What you will do
- Develop and run RFQ-based trading strategies for tokenized spot equities: set parameters such as buffers, spreads, and size limits, while optimizing for evolving business goals.
- Price instruments where reference prices are thin or stale, such as long-tail stocks and extended and overnight sessions.
- Measure execution quality: benchmark fills against references, analyze markouts, and turn what you find into strategy improvements.
- Monitor positions, inventory levels and P&L in real time; proactively flag risks, execute adjustments, and continuously improve tooling & monitoring.
- Integrate with traditional brokerage venues and onchain programs to fill trades and rebalance inventory.
What we're looking for
- 4+ years trading at a market maker, prop firm, DEX, or brokerage, with professional experience specifically trading spot equities.
- Experience developing RFQ systems.
- A rigorous approach to risk management: you track exposure, hedge thoughtfully, and escalate early when conditions shift.
- Self-directed and adaptable: you're comfortable operating with autonomy in a remote-first environment.
- Strong analytical and software engineering skills (e.g., Rust)
We provide
- Competitive salary and restricted token units, dependent on position type and location.
- Unlimited time off, healthcare premium reimbursement, and 401K.
- Top-of-the-line MacBook Pro laptop.
- Flexibility of working from wherever you have work authorization, as long as you can work 10-6PM US Eastern Time. We minimize unnecessary meetings, but building decentralized systems requires synchronous communication.
Location: Singapore, Singapore
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About the Opportunity
OKX
Data Team
is responsible for the whole data scope of OKG, from techincal selection, architecture design, data ingestion, data storage, ETL, data visualization to business intelligence and data science. We are data engineers, data analysts and data scientists. The team has end-to-end ownership of most of the data at OKx throughout the whole data lifecycle including data ingestion, data ETL, data warehouse and data services. As a
Product Manager
of the team, you will work with the team to leverage data technologies to empower evidence-based decision-making and improve the quality of the company's products and services.
What You’ll Be Doing
Deeply understand business goals and pain points
: Work closely with business teams to understand their day-to-day data needs, identify core metric frameworks and key insight opportunities, and proactively propose data-driven solutions.
End-to-end data solution design
: Translate business requirements into data requirements, owning the full lifecycle from event tracking design, data modeling, and metric definition to dashboard design, launch, and acceptance.
Build and standardize business metric systems
: Lead the definition of core metrics, unify calculation logic, and design and implement dashboards to ensure standardized analysis and end-to-end business traceability.
Drive data product adoption
: Partner with business teams to promote data tools within departments and establish standard operating procedures (SOPs).
Data governance and quality assurance
: Continuously monitor the stability of event tracking and metrics, ensure data consistency, and help drive standardized data governance processes.
What We Look For In You
7+ years of experience
in data product management or related roles; experience at leading internet/technology companies is a plus.
Strong familiarity with data ecosystems
, including event tracking systems, A/B testing frameworks, metric systems, and BI data pipelines, with hands-on design or management experience.
Ability to
quickly understand complex business logic
and break down ambiguous requirements into actionable, executable solutions.
Excellent cross-functional communication and execution skills
, with strong ownership and project leadership mindset.
English and Mandarin Chinese proficiency
sufficient for use as a working language as the role involves liaising with various stakeholders in chinese-speaking markets.
Perks & Benefits
Competitive total compensation package
L&D programs and Education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: Remote
Workplace: Remote
We are building AI to simulate the world through merging art and science.
We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world.
World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached.
Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you.
*Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers.
ABOUT THE ROLE
Open to hiring remote — we also have offices in New York, San Francisco, Seattle, London, Paris, and Tel Aviv.
Runway is hiring a Detection & Response Engineer to own how we find and stop attacks against our infrastructure, our research environment and our products.
Securing a company that trains and serves frontier video models is a different problem from securing a typical SaaS product. The environment includes research compute, large training datasets, a fast-moving build pipeline and engineers who work inside AI-assisted tooling every day. Each of those changes what an attack looks like and what you need to see to catch it.
You'll join the Security team and build our detection and response program the way an engineer would: detections as code, response as automation, evidence as something you can query. This is a role with real ownership: you'll own the detection program end to end, from what we log to how quickly we close an incident. You'll report to the head of security, partner with engineers across platform and research, and shape how this function grows from here.
WHAT YOU'LL DO
- Own detection and response end to end: what we log, what we alert on, how we triage and how we recover
- Write and tune detections as code across multiple cloud environments, Kubernetes, identity systems, endpoints and SaaS, and measure them on coverage and precision rather than alert volume
- Lead incident response from the first alert through containment and forensics, then write the post-incident review people actually read
- Build automation that takes toil out of triage, including enrichment, correlation, containment actions and evidence collection, and use LLM-based tooling where it holds up under audit
- Monitor AI agents and developer tooling operating inside our environment, and turn that into concrete telemetry and controls
- Partner with platform and research engineers so new systems ship with logging and response playbooks in place on day one
- Run threat hunts and tabletop exercises against the parts of the environment that worry you most, and fix what you find
- Turn incident and detection metrics into evidence for SOC 2, ISO 27001 and enterprise customer security reviews, working with our GRC team
- Participate in an on-call rotation for security incidents
WHAT YOU'LL NEED
- Hands-on incident response experience: you've triaged live alerts, led investigations and written up what happened afterward
- Experience building and tuning detections in a modern SIEM, ideally managed as code
- Working knowledge of how attackers move through cloud and Kubernetes environments (IAM abuse, container escape, credential theft, supply chain compromise) and what that leaves behind in logs
- Comfort writing Python, Typescript, Rust or another language to automate response work and connect security tools
- Familiarity with at least one major cloud platform and with Kubernetes at the level of audit logs, RBAC and workload identity
- Clear writing. Incident timelines, detection documentation and updates to leadership are all part of the job
- Judgment about what to alert on, what to automate and when to wake someone up
EVEN BETTER IF YOU HAVE
- Experience monitoring GPU or HPC-style infrastructure, or research environments with large datasets
- Experience building detections or guardrails for AI agents, LLM tooling or MCP servers
- Cloud forensics experience: disk and memory acquisition, cloud audit trail reconstruction, chain of custody
- Published open source detection content
Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide.
There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range.
Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates.
WORKING AT RUNWAY
Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you.
We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply.
More about Runway
- Universal World Simulator https://runwayml.com/world-simulator.html
- GWM-1 https://runwayml.com/research/introducing-runway-gwm-1
- Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5
- General World Models https://runwayml.com/research/introducing-general-world-models
- Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section
- Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section
- Runway Studios https://runwayml.com/studios
We're excited to be recognized as a best place to work:
Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024
leadSingapore; Due to the timezone differences, you will serve as the primary regional networking authority, bridging global network architecture defined with our EU/EMEA/the US engineering headquarters and regional execution across APAC colocation sites, cable landings, and data centers
seniorZurich, Switzerland
seniorAmsterdam, Netherlands; Berlin, Germany; Israel; Remote - Europe
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