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Location: Remote Who we are Our mission is to bring clarity and control to the world's most complex codebases. AI is accelerating code creation, but the infrastructure to understand, oversee, and evolve that code hasn't kept pace. Sourcegraph gives engineering organizations full visibility across their systems, precise context for their agents, and the ability to execute coordinated code changes at scale. As agentic development becomes the dominant engineering paradigm, we provide the context layer teams need to take control of their codebase. With Code Search, Deep Search, MCP, and Agentic Batch Changes, we deliver on that mission today - giving engineering teams and their AI tools the cross-repo context to navigate massive codebases with confidence, and the ability to make changes across hundreds of repositories at once. Companies like Stripe, Reddit, and Leidos rely on Sourcegraph to ship faster and with higher quality. We're backed by a16z, Sequoia, and Redpoint, and proud to operate as a globally distributed team that values high agency, direct communication, and customer love. If you want to build the infrastructure that lets every engineering team - and every agent they deploy - operate on their codebase with confidence, join us. Hours & location 🌎 While we hire almost anywhere in the world, we have a preference for someone to reside in the following locations for this role. However, if you feel qualified, we welcome you to apply regardless of location. No matter what, working hours must overlap with EST for at least 20 hours/week. Preferred locations: USA Why this job is exciting Sourcegraph is at the forefront of building AI tools to solve the biggest problems in the software industry, problems that only get bigger as codebases grow and as more of the work is done by agents. The Code Understanding team owns the surfaces where that intelligence meets the developer: Deep Search , our agentic, multi-step answer engine across an enterprise's entire lineup of codebases, Query Assist , turning natural language queries into Sourcegraph query syntax, Smart Hovers , concisely summarizing symbols right where devs need it, guided diff review, and the APIs that both humans and AI agents rely on every day. Most of what makes those surfaces tick is agent engineering : a blend of software engineering, machine learning, and statistics. Agent engineering tells us which model to use and when, how to retrieve and pack context, how to measure answer quality, where to fine-tune or distill a smaller model to cut costs and latency, and how to expand a single LLM call into a reliable multi-step agent. As the staff ML and agent engineer on Code Understanding , you'll be the technical owner of it: setting the tam’s direction for models, evaluations, and agentic systems, making our products measurably better, faster, and cheaper, and raising the team's fluency in building with models. This is a staff-level role : we're hiring a technical leader, not just a strong individual contributor. The primary need is a production ML and evaluation authority who also builds production agent systems. You'll own the hardest, most ambiguous problems in this space, set standards others follow, and influence direction beyond your immediate team. You'll get the exhilarating chance to drive the vision on how we can provide the best code understanding experience on the market by combining our deterministic, large-scale systems and AI into experiences never seen before. Concretely, you'll own work like: Agentic systems. You'll design and harden the multi-step, tool-using agent loops behind current and new agentic experiences, turning research and experiments into reliable, observable, and affordable products at enterprise scale. Pragmatic use of evaluations. Crafting agentic products means needing to tell when a change actually helped, which is hard when agents keep changing and the product keeps shifting. You'll bring judgment about where evaluations earn their keep, when to use targeted smoke tests and metrics, and how to avoid noise dressed up as rigor, so we can move fast with confidence. Models: selection, upgrading, and training. You'll decide which models we run where, drive upgrades, and fine-tune our own when that's the right call. Retrieval and context engineering. You'll push on how we ground models in a customer's code - retrieval, ranking, context windows, citations - to make answers more accurate and verifiable. Cost and latency. Every surface has a per-user economic budget. You'll treat cost and latency as product features, and profile, distill, cache, and right-size models so we can ship ambitious features sustainably. You'll do this on a small, senior-leaning team that ships quickly, owns a lot of product surface, and has streamlined product management: engineers here talk to customers, frame the problem, and own it end-to-end. You'll have real agency over technical direction and a direct line to the impact of your work. 📅 Within one month, you will… Get the Code Understanding products and their model/agent pipelines running end-to-end locally, and land your first improvements to a model, prompt, retrieval path, or eval. Build a clear picture of where the AI engineering pain is, and the product surfaces most constrained by them. Get to know the team and our customers, and start forming your own opinions about where our agentic products should go next. Join the team's on-call support rotation. 📅 Within three months, you will… Own a meaningful agentic slice of the product end-to-end, driving it from problem-framing through rollout and measurement. Establish how the team ships model and prompt changes responsibly: the evals, dashboards, and guardrails that make quality and cost regressions visible before customers feel them. Begin up-leveling teammates in building with models by pairing with them, reviewing their code, and modeling good agent engineering instincts. 📅 Within six months, you will… Be the recognized technical authority for agent engineering and agentic systems on Code Understanding. You will be the person teammates, and increasingly the wider department, defer to on model, eval, and agent-design decisions. Have measurably moved the products: better answer quality, lower cost/latency, or new agentic capabilities that weren't feasible before. Be setting the direction of the team's roadmap where it intersects agents, bringing conviction, backed by evidence, about which bets are worth making, and pulling other engineers up to execute on them. About you You are a staff engineer and technical leader with hard-won skills across production machine learning, evaluation, and agent systems . This high-leverage role relies on your ability to make sound model and evaluation decisions for a fast-moving product, build the production systems around them, steer technical direction, and be a force multiplier for a talented, product-minded team. You're equally comfortable reasoning about an eval harness, a fine-tuning run, a retrieval pipeline, and the multi-step agent loop that ties them together, and you make everyone around you better at all of it. You operate at staff scope: you own the most ambiguous, highest-risk problems in your domain, go into whatever codebase a problem requires, set standards and patterns others adopt, and translate fluidly between engineering goals and business objectives. You influence direction beyond your immediate team. You lead through technical excellence and mentorship. You have personally owned a production model lifecycle. You have trained or fine-tuned at least one model and taken it from dataset construction through evaluation, production rollout, and monitoring. You can explain how you chose between training or fine-tuning and prompting or retrieval, how you chose baselines and metrics, what error analysis revealed, and how production evidence affected the next version. You build agents, fluently and opinionatedly. You've designed multi-step agentic systems and made them reliable, observable, and cost-bounded. You have a point of view on where agents shine and where deterministic code or human judgment is required. You have strong evaluation judgment. You build representative datasets, meaningful baselines, useful error taxonomies, and release criteria that connect offline measurements to production behavior. You know where rigorous evaluations earn their keep, where lightweight smoke tests or qualitative review are enough, and where a precise-looking metric is misleading. You treat cost and latency as product constraints. You make measured quality, latency, and cost tradeoffs and use the appropriate combination of model selection, prompting, retrieval, caching, distillation, and fine-tuning rather than reaching reflexively for a more complex model. You operate autonomously on ambiguous problems. Given a rough product idea, a few customer quotes, and a Slack thread, you come back with a plan, a prototype, milestones, and a point of view on tradeoffs, without it being pre-scoped. You own high-technical-risk projects end-to-end. You contribute beyond your domain. As a senior IC, you go into whatever part of the codebase a problem requires, recognize issues beyond your immediate area, and translate between engineering goals and business objectives. You up-level the people around you. You mentor by pairing on hard problems, providing substantive design and code reviews, and spreading agent engineering literacy across the team. You see investing in your teammates' growth as part of the job. You're customer and product-driven. You're comfortable on customer calls and in feedback threads, you turn raw signals into requirements, scopes, and milestones, and you push back when feedback would lead the product astray. You're pragmatic, not a perfectionist. You ship the smallest correct thing, prefer robust solutions over complicated ones, and keep a high-quality bar with simplicity. On the engineering fundamentals: You're a strong software engineer who can ship production services. You're comfortable across our stack - Go on the backend, TypeScript on the frontend, GraphQL, Postgres, Docker - or you're clearly able and eager to get there. You're fluent with agentic coding tools, and you understand and own every line it submits. You're comfortable in an async-first, multi-service, fast-paced remote environment. Nice-to-haves: You've shipped an LLM-powered or agentic developer-facing product you can speak about opinionatedly: what worked, what didn't, what you'd do differently. You've fine-tuned, distilled, or trained models to meet cost, latency, or quality targets in production. Experience with retrieval, ranking, embeddings, or search relevance. Experience working directly with enterprise customers and translating their needs into a product. Experience mentoring or up-leveling engineers, especially raising a team's agent engineering fluency. Level 📊 This job is an IC4. You can read more about our job leveling philosophy in our Handbook. Compensation 💸 We pay above-market salaries because we want to hire exceptional people who can focus on building great products, not worrying about paying bills. As an open and transparent company, our compensation philosophy and pay bands are visible to every Sourcegraph teammate, and we strive to make our approach equitable, explainable, and competitive. Your base salary is determined by the IC4 pay band for your location zone (1-4). Our pay bands are informed by market data and designed to ensure competitive compensation wherever you live. During the recruiting process, we'll discuss the range applicable to you based on job level, relevant skills, experience, qualifications, and location zone. 💰 The starting salary for the IC4 pay band in each zone is: Zone 2: $176,000 USD Zone 3: $132,000 USD Zone 4: $88,000 USD 📈 In addition to competitive cash compensation, we offer meaningful equity (because when Sourcegraph succeeds, we want you to succeed, too) and generous perks & benefits . Interview process Below is the interview process you can expect for this role (you can read more about the types of interviews in our Handbook). It may look like a lot of steps, but rest assured that we move quickly and the steps are designed to help you get the information needed to determine if we’re the right fit for you… Interviewing is a two-way street, after all! We expect the interview process to take 5.5 hours in total. 👋 Introduction Stage - we have initial conversations to get to know you better… [30m] Recruiter Screen [30m] Hiring Manager Screen 🧑‍💻 Team Interview Stage - we then delve into your experience in more depth and introduce you to members of the team, including cross-functional partners… [60m] Resume Deep Dive [60m] System Design [60m] Harden a Code Research Agent Interview [60m] Cross-functional team collaboration / Values 🎉 Final Interview Stage - we move you to our final round, where you gain a better understanding of our business and values holistically… [30] Leadership We check references and conduct your background check Please note - you are welcome to request additional conversations with anyone you would like to meet, but didn’t get to meet during the interview process. Learn more about us You can learn more about what it is like to work at Sourcegraph by reading our handbook . We are an ambitious team who are collectively working hard to build the most influential company in the world. You can read more about our culture , competitive compensation and benefits here. Sourcegraph is an equal opportunity workplace; we welcome people from all backgrounds. Sourcegraph participates in E-Verify for U.S. Employees.

Location: Taipei / Taiwan Job Description Location: Hong Kong — Hybrid (factory floor, test lab and manufacturing sites; this is not a remote or desk-based role) Start date: ASAP Languages: Fluent English and fluent Mandarin are both mandatory Industry: HPC / GPU Server Manufacturing / Sovereign Cloud Infrastructure Pragmatike is recruiting on behalf of a European deep-tech company building a sovereign, energy-efficient alternative to traditional cloud providers. Unlike most cloud players, our client designs and manufactures its own HPC infrastructure end to end — chassis, boards and containerized units — and deploys it as the hardware layer of a vertically integrated AI cloud. The company is growing fast and is expanding its manufacturing and testing capability in Hong Kong. Professional Background: We're looking for a Server Engineer with hands-on GPU/HPC hardware experience who has tested and validated servers, not just operated them. You should be comfortable moving between the factory floor and the test lab, with a strong Linux background and real familiarity with firmware and GPU software stacks (CUDA, NCCL). You take ownership of quality: if a server ships, it is because you signed off on it. Startup or hyper-growth experience is a strong plus. Autonomy, rigor and problem-solving are essential. Your Responsibilities: - Own quality control across the client's manufacturing sites, on the factory floor. - Run the hardware test lab: board and system bring-up, validation and stress testing of new server builds. - Oversee the assembly and end-to-end testing of GPU servers before they are deployed into the client's sovereign cloud. - Define and maintain test procedures, acceptance criteria and QC checkpoints for chassis, boards and full systems. - Diagnose hardware, firmware and driver-level issues (BIOS/BMC, GPU firmware, PCIe, thermals, power) and drive root-cause analysis with the design and manufacturing teams. - Validate GPU compute and interconnect performance under Linux using CUDA, NCCL and related benchmarking tools. - Document failures, yields and test results, and feed findings back into hardware design and production processes. - Coordinate day to day with manufacturing partners and local suppliers in both English and Mandarin. What You Bring: - Proven hands-on experience testing and validating GPU/HPC servers (bring-up, burn-in, validation), not only using them. - Strong Linux skills at the system and hardware level. - Firmware knowledge: BIOS/UEFI, BMC/IPMI, GPU and NIC firmware, flashing and troubleshooting. - Working knowledge of the NVIDIA GPU stack: drivers, CUDA, NCCL, and how to benchmark and diagnose multi-GPU systems. - Solid understanding of server hardware: motherboards, PCIe topology, power, cooling, storage and networking components. - Experience with QC or manufacturing test processes in a hardware production environment. - Fluent English and fluent Mandarin (both non-negotiable). - Willingness to work on-site in Hong Kong, on the factory floor and in the lab. Nice To Have: - Experience with containerized or micro-datacenter deployments (power, thermal and environmental constraints). - Familiarity with high-speed interconnects (InfiniBand, RoCE, NVLink) and their validation. - Scripting skills (Bash/Python) to automate test sequences and reporting. - Exposure to hardware supply chains or contract manufacturers in Hong Kong / Southern China. - Cantonese. Why Join Us: Our client is one of the very few cloud companies that builds its own hardware from the board up. Their mission is to deliver a sovereign, energy-efficient, high-performance alternative to traditional cloud providers, and the servers you test and validate are the physical foundation of that platform. Expect real ownership from day one, a fast-paced environment that values autonomy and problem-solving, and the chance to build something that doesn't exist yet. Pragmatike• is dedicated to a fair, transparent, and inclusive recruitment process. We ensure that no applicant is discriminated against based on age, disability, gender, gender identity or expression, marital or civil partner status, pregnancy or maternity, race, religion or belief, sex, or sexual orientation. In accordance with the General Data Protection Regulation (GDPR), your personal data will be processed lawfully, fairly, and securely. We collect and use your personal data solely for recruitment purposes, including sharing it with our client(s) for employment consideration. You have the right to request access, correction, or deletion of your data at any time. We are committed to maintaining the confidentiality and security of your information throughout the recruitment process.

Location: China / Shenzhen• Job Description Location: Hong Kong — Hybrid (factory floor, test lab and manufacturing sites; this is not a remote or desk-based role) Start date: ASAP Languages: Fluent English and fluent Mandarin are both mandatory Industry: HPC / GPU Server Manufacturing / Sovereign Cloud Infrastructure Pragmatike is recruiting on behalf of a European deep-tech company building a sovereign, energy-efficient alternative to traditional cloud providers. Unlike most cloud players, our client designs and manufactures its own HPC infrastructure end to end — chassis, boards and containerized units — and deploys it as the hardware layer of a vertically integrated AI cloud. The company is growing fast and is expanding its manufacturing and testing capability in Hong Kong. Professional Background: We're looking for a Server Engineer with hands-on GPU/HPC hardware experience who has tested and validated servers, not just operated them. You should be comfortable moving between the factory floor and the test lab, with a strong Linux background and real familiarity with firmware and GPU software stacks (CUDA, NCCL). You take ownership of quality: if a server ships, it is because you signed off on it. Startup or hyper-growth experience is a strong plus. Autonomy, rigor and problem-solving are essential. Your Responsibilities: - Own quality control across the client's manufacturing sites, on the factory floor. - Run the hardware test lab: board and system bring-up, validation and stress testing of new server builds. - Oversee the assembly and end-to-end testing of GPU servers before they are deployed into the client's sovereign cloud. - Define and maintain test procedures, acceptance criteria and QC checkpoints for chassis, boards and full systems. - Diagnose hardware, firmware and driver-level issues (BIOS/BMC, GPU firmware, PCIe, thermals, power) and drive root-cause analysis with the design and manufacturing teams. - Validate GPU compute and interconnect performance under Linux using CUDA, NCCL and related benchmarking tools. - Document failures, yields and test results, and feed findings back into hardware design and production processes. - Coordinate day to day with manufacturing partners and local suppliers in both English and Mandarin. What You Bring: - Proven hands-on experience testing and validating GPU/HPC servers (bring-up, burn-in, validation), not only using them. - Strong Linux skills at the system and hardware level. - Firmware knowledge: BIOS/UEFI, BMC/IPMI, GPU and NIC firmware, flashing and troubleshooting. - Working knowledge of the NVIDIA GPU stack: drivers, CUDA, NCCL, and how to benchmark and diagnose multi-GPU systems. - Solid understanding of server hardware: motherboards, PCIe topology, power, cooling, storage and networking components. - Experience with QC or manufacturing test processes in a hardware production environment. - Fluent English and fluent Mandarin (both non-negotiable). - Willingness to work on-site in Hong Kong, on the factory floor and in the lab. Nice To Have: - Experience with containerized or micro-datacenter deployments (power, thermal and environmental constraints). - Familiarity with high-speed interconnects (InfiniBand, RoCE, NVLink) and their validation. - Scripting skills (Bash/Python) to automate test sequences and reporting. - Exposure to hardware supply chains or contract manufacturers in Hong Kong / Southern China. - Cantonese. Why Join Us: Our client is one of the very few cloud companies that builds its own hardware from the board up. Their mission is to deliver a sovereign, energy-efficient, high-performance alternative to traditional cloud providers, and the servers you test and validate are the physical foundation of that platform. Expect real ownership from day one, a fast-paced environment that values autonomy and problem-solving, and the chance to build something that doesn't exist yet. Pragmatike• is dedicated to a fair, transparent, and inclusive recruitment process. We ensure that no applicant is discriminated against based on age, disability, gender, gender identity or expression, marital or civil partner status, pregnancy or maternity, race, religion or belief, sex, or sexual orientation. In accordance with the General Data Protection Regulation (GDPR), your personal data will be processed lawfully, fairly, and securely. We collect and use your personal data solely for recruitment purposes, including sharing it with our client(s) for employment consideration. You have the right to request access, correction, or deletion of your data at any time. We are committed to maintaining the confidentiality and security of your information throughout the recruitment process.

Location: APAC / China / Hong Kong; China HK Workplace: OnSite Job Description Location: Hong Kong — Hybrid (factory floor, test lab and manufacturing sites; this is not a remote or desk-based role) Start date: ASAP Languages: Fluent English and fluent Mandarin are both mandatory Industry: HPC / GPU Server Manufacturing / Sovereign Cloud Infrastructure Pragmatike is recruiting on behalf of a European deep-tech company building a sovereign, energy-efficient alternative to traditional cloud providers. Unlike most cloud players, our client designs and manufactures its own HPC infrastructure end to end — chassis, boards and containerized units — and deploys it as the hardware layer of a vertically integrated AI cloud. The company is growing fast and is expanding its manufacturing and testing capability in Hong Kong. Professional Background: We're looking for a Server Engineer with hands-on GPU/HPC hardware experience who has tested and validated servers, not just operated them. You should be comfortable moving between the factory floor and the test lab, with a strong Linux background and real familiarity with firmware and GPU software stacks (CUDA, NCCL). You take ownership of quality: if a server ships, it is because you signed off on it. Startup or hyper-growth experience is a strong plus. Autonomy, rigor and problem-solving are essential. Your Responsibilities: - Own quality control across the client's manufacturing sites, on the factory floor. - Run the hardware test lab: board and system bring-up, validation and stress testing of new server builds. - Oversee the assembly and end-to-end testing of GPU servers before they are deployed into the client's sovereign cloud. - Define and maintain test procedures, acceptance criteria and QC checkpoints for chassis, boards and full systems. - Diagnose hardware, firmware and driver-level issues (BIOS/BMC, GPU firmware, PCIe, thermals, power) and drive root-cause analysis with the design and manufacturing teams. - Validate GPU compute and interconnect performance under Linux using CUDA, NCCL and related benchmarking tools. - Document failures, yields and test results, and feed findings back into hardware design and production processes. - Coordinate day to day with manufacturing partners and local suppliers in both English and Mandarin. What You Bring: - Proven hands-on experience testing and validating GPU/HPC servers (bring-up, burn-in, validation), not only using them. - Strong Linux skills at the system and hardware level. - Firmware knowledge: BIOS/UEFI, BMC/IPMI, GPU and NIC firmware, flashing and troubleshooting. - Working knowledge of the NVIDIA GPU stack: drivers, CUDA, NCCL, and how to benchmark and diagnose multi-GPU systems. - Solid understanding of server hardware: motherboards, PCIe topology, power, cooling, storage and networking components. - Experience with QC or manufacturing test processes in a hardware production environment. - Fluent English and fluent Mandarin (both non-negotiable). - Willingness to work on-site in Hong Kong, on the factory floor and in the lab. Nice To Have: - Experience with containerized or micro-datacenter deployments (power, thermal and environmental constraints). - Familiarity with high-speed interconnects (InfiniBand, RoCE, NVLink) and their validation. - Scripting skills (Bash/Python) to automate test sequences and reporting. - Exposure to hardware supply chains or contract manufacturers in Hong Kong / Southern China. - Cantonese. Why Join Us: Our client is one of the very few cloud companies that builds its own hardware from the board up. Their mission is to deliver a sovereign, energy-efficient, high-performance alternative to traditional cloud providers, and the servers you test and validate are the physical foundation of that platform. Expect real ownership from day one, a fast-paced environment that values autonomy and problem-solving, and the chance to build something that doesn't exist yet. Pragmatike• is dedicated to a fair, transparent, and inclusive recruitment process. We ensure that no applicant is discriminated against based on age, disability, gender, gender identity or expression, marital or civil partner status, pregnancy or maternity, race, religion or belief, sex, or sexual orientation. In accordance with the General Data Protection Regulation (GDPR), your personal data will be processed lawfully, fairly, and securely. We collect and use your personal data solely for recruitment purposes, including sharing it with our client(s) for employment consideration. You have the right to request access, correction, or deletion of your data at any time. We are committed to maintaining the confidentiality and security of your information throughout the recruitment process.

Location: China / Dongguan Job Description Location: Hong Kong — Hybrid (factory floor, test lab and manufacturing sites; this is not a remote or desk-based role) Start date: ASAP Languages: Fluent English and fluent Mandarin are both mandatory Industry: HPC / GPU Server Manufacturing / Sovereign Cloud Infrastructure Pragmatike is recruiting on behalf of a European deep-tech company building a sovereign, energy-efficient alternative to traditional cloud providers. Unlike most cloud players, our client designs and manufactures its own HPC infrastructure end to end — chassis, boards and containerized units — and deploys it as the hardware layer of a vertically integrated AI cloud. The company is growing fast and is expanding its manufacturing and testing capability in Hong Kong. Professional Background: We're looking for a Server Engineer with hands-on GPU/HPC hardware experience who has tested and validated servers, not just operated them. You should be comfortable moving between the factory floor and the test lab, with a strong Linux background and real familiarity with firmware and GPU software stacks (CUDA, NCCL). You take ownership of quality: if a server ships, it is because you signed off on it. Startup or hyper-growth experience is a strong plus. Autonomy, rigor and problem-solving are essential. Your Responsibilities: - Own quality control across the client's manufacturing sites, on the factory floor. - Run the hardware test lab: board and system bring-up, validation and stress testing of new server builds. - Oversee the assembly and end-to-end testing of GPU servers before they are deployed into the client's sovereign cloud. - Define and maintain test procedures, acceptance criteria and QC checkpoints for chassis, boards and full systems. - Diagnose hardware, firmware and driver-level issues (BIOS/BMC, GPU firmware, PCIe, thermals, power) and drive root-cause analysis with the design and manufacturing teams. - Validate GPU compute and interconnect performance under Linux using CUDA, NCCL and related benchmarking tools. - Document failures, yields and test results, and feed findings back into hardware design and production processes. - Coordinate day to day with manufacturing partners and local suppliers in both English and Mandarin. What You Bring: - Proven hands-on experience testing and validating GPU/HPC servers (bring-up, burn-in, validation), not only using them. - Strong Linux skills at the system and hardware level. - Firmware knowledge: BIOS/UEFI, BMC/IPMI, GPU and NIC firmware, flashing and troubleshooting. - Working knowledge of the NVIDIA GPU stack: drivers, CUDA, NCCL, and how to benchmark and diagnose multi-GPU systems. - Solid understanding of server hardware: motherboards, PCIe topology, power, cooling, storage and networking components. - Experience with QC or manufacturing test processes in a hardware production environment. - Fluent English and fluent Mandarin (both non-negotiable). - Willingness to work on-site in Hong Kong, on the factory floor and in the lab. Nice To Have: - Experience with containerized or micro-datacenter deployments (power, thermal and environmental constraints). - Familiarity with high-speed interconnects (InfiniBand, RoCE, NVLink) and their validation. - Scripting skills (Bash/Python) to automate test sequences and reporting. - Exposure to hardware supply chains or contract manufacturers in Hong Kong / Southern China. - Cantonese. Why Join Us: Our client is one of the very few cloud companies that builds its own hardware from the board up. Their mission is to deliver a sovereign, energy-efficient, high-performance alternative to traditional cloud providers, and the servers you test and validate are the physical foundation of that platform. Expect real ownership from day one, a fast-paced environment that values autonomy and problem-solving, and the chance to build something that doesn't exist yet. Pragmatike• is dedicated to a fair, transparent, and inclusive recruitment process. We ensure that no applicant is discriminated against based on age, disability, gender, gender identity or expression, marital or civil partner status, pregnancy or maternity, race, religion or belief, sex, or sexual orientation. In accordance with the General Data Protection Regulation (GDPR), your personal data will be processed lawfully, fairly, and securely. We collect and use your personal data solely for recruitment purposes, including sharing it with our client(s) for employment consideration. You have the right to request access, correction, or deletion of your data at any time. We are committed to maintaining the confidentiality and security of your information throughout the recruitment process.

Location: China / Zhuhai Job Description Location: Hong Kong — Hybrid (factory floor, test lab and manufacturing sites; this is not a remote or desk-based role) Start date: ASAP Languages: Fluent English and fluent Mandarin are both mandatory Industry: HPC / GPU Server Manufacturing / Sovereign Cloud Infrastructure Pragmatike is recruiting on behalf of a European deep-tech company building a sovereign, energy-efficient alternative to traditional cloud providers. Unlike most cloud players, our client designs and manufactures its own HPC infrastructure end to end — chassis, boards and containerized units — and deploys it as the hardware layer of a vertically integrated AI cloud. The company is growing fast and is expanding its manufacturing and testing capability in Hong Kong. Professional Background: We're looking for a Server Engineer with hands-on GPU/HPC hardware experience who has tested and validated servers, not just operated them. You should be comfortable moving between the factory floor and the test lab, with a strong Linux background and real familiarity with firmware and GPU software stacks (CUDA, NCCL). You take ownership of quality: if a server ships, it is because you signed off on it. Startup or hyper-growth experience is a strong plus. Autonomy, rigor and problem-solving are essential. Your Responsibilities: - Own quality control across the client's manufacturing sites, on the factory floor. - Run the hardware test lab: board and system bring-up, validation and stress testing of new server builds. - Oversee the assembly and end-to-end testing of GPU servers before they are deployed into the client's sovereign cloud. - Define and maintain test procedures, acceptance criteria and QC checkpoints for chassis, boards and full systems. - Diagnose hardware, firmware and driver-level issues (BIOS/BMC, GPU firmware, PCIe, thermals, power) and drive root-cause analysis with the design and manufacturing teams. - Validate GPU compute and interconnect performance under Linux using CUDA, NCCL and related benchmarking tools. - Document failures, yields and test results, and feed findings back into hardware design and production processes. - Coordinate day to day with manufacturing partners and local suppliers in both English and Mandarin. What You Bring: - Proven hands-on experience testing and validating GPU/HPC servers (bring-up, burn-in, validation), not only using them. - Strong Linux skills at the system and hardware level. - Firmware knowledge: BIOS/UEFI, BMC/IPMI, GPU and NIC firmware, flashing and troubleshooting. - Working knowledge of the NVIDIA GPU stack: drivers, CUDA, NCCL, and how to benchmark and diagnose multi-GPU systems. - Solid understanding of server hardware: motherboards, PCIe topology, power, cooling, storage and networking components. - Experience with QC or manufacturing test processes in a hardware production environment. - Fluent English and fluent Mandarin (both non-negotiable). - Willingness to work on-site in Hong Kong, on the factory floor and in the lab. Nice To Have: - Experience with containerized or micro-datacenter deployments (power, thermal and environmental constraints). - Familiarity with high-speed interconnects (InfiniBand, RoCE, NVLink) and their validation. - Scripting skills (Bash/Python) to automate test sequences and reporting. - Exposure to hardware supply chains or contract manufacturers in Hong Kong / Southern China. - Cantonese. Why Join Us: Our client is one of the very few cloud companies that builds its own hardware from the board up. Their mission is to deliver a sovereign, energy-efficient, high-performance alternative to traditional cloud providers, and the servers you test and validate are the physical foundation of that platform. Expect real ownership from day one, a fast-paced environment that values autonomy and problem-solving, and the chance to build something that doesn't exist yet. Pragmatike• is dedicated to a fair, transparent, and inclusive recruitment process. We ensure that no applicant is discriminated against based on age, disability, gender, gender identity or expression, marital or civil partner status, pregnancy or maternity, race, religion or belief, sex, or sexual orientation. In accordance with the General Data Protection Regulation (GDPR), your personal data will be processed lawfully, fairly, and securely. We collect and use your personal data solely for recruitment purposes, including sharing it with our client(s) for employment consideration. You have the right to request access, correction, or deletion of your data at any time. We are committed to maintaining the confidentiality and security of your information throughout the recruitment process.

Location: China / Guangzhou Job Description Location: Hong Kong — Hybrid (factory floor, test lab and manufacturing sites; this is not a remote or desk-based role) Start date: ASAP Languages: Fluent English and fluent Mandarin are both mandatory Industry: HPC / GPU Server Manufacturing / Sovereign Cloud Infrastructure Pragmatike is recruiting on behalf of a European deep-tech company building a sovereign, energy-efficient alternative to traditional cloud providers. Unlike most cloud players, our client designs and manufactures its own HPC infrastructure end to end — chassis, boards and containerized units — and deploys it as the hardware layer of a vertically integrated AI cloud. The company is growing fast and is expanding its manufacturing and testing capability in Hong Kong. Professional Background: We're looking for a Server Engineer with hands-on GPU/HPC hardware experience who has tested and validated servers, not just operated them. You should be comfortable moving between the factory floor and the test lab, with a strong Linux background and real familiarity with firmware and GPU software stacks (CUDA, NCCL). You take ownership of quality: if a server ships, it is because you signed off on it. Startup or hyper-growth experience is a strong plus. Autonomy, rigor and problem-solving are essential. Your Responsibilities: - Own quality control across the client's manufacturing sites, on the factory floor. - Run the hardware test lab: board and system bring-up, validation and stress testing of new server builds. - Oversee the assembly and end-to-end testing of GPU servers before they are deployed into the client's sovereign cloud. - Define and maintain test procedures, acceptance criteria and QC checkpoints for chassis, boards and full systems. - Diagnose hardware, firmware and driver-level issues (BIOS/BMC, GPU firmware, PCIe, thermals, power) and drive root-cause analysis with the design and manufacturing teams. - Validate GPU compute and interconnect performance under Linux using CUDA, NCCL and related benchmarking tools. - Document failures, yields and test results, and feed findings back into hardware design and production processes. - Coordinate day to day with manufacturing partners and local suppliers in both English and Mandarin. What You Bring: - Proven hands-on experience testing and validating GPU/HPC servers (bring-up, burn-in, validation), not only using them. - Strong Linux skills at the system and hardware level. - Firmware knowledge: BIOS/UEFI, BMC/IPMI, GPU and NIC firmware, flashing and troubleshooting. - Working knowledge of the NVIDIA GPU stack: drivers, CUDA, NCCL, and how to benchmark and diagnose multi-GPU systems. - Solid understanding of server hardware: motherboards, PCIe topology, power, cooling, storage and networking components. - Experience with QC or manufacturing test processes in a hardware production environment. - Fluent English and fluent Mandarin (both non-negotiable). - Willingness to work on-site in Hong Kong, on the factory floor and in the lab. Nice To Have: - Experience with containerized or micro-datacenter deployments (power, thermal and environmental constraints). - Familiarity with high-speed interconnects (InfiniBand, RoCE, NVLink) and their validation. - Scripting skills (Bash/Python) to automate test sequences and reporting. - Exposure to hardware supply chains or contract manufacturers in Hong Kong / Southern China. - Cantonese. Why Join Us: Our client is one of the very few cloud companies that builds its own hardware from the board up. Their mission is to deliver a sovereign, energy-efficient, high-performance alternative to traditional cloud providers, and the servers you test and validate are the physical foundation of that platform. Expect real ownership from day one, a fast-paced environment that values autonomy and problem-solving, and the chance to build something that doesn't exist yet. Pragmatike• is dedicated to a fair, transparent, and inclusive recruitment process. We ensure that no applicant is discriminated against based on age, disability, gender, gender identity or expression, marital or civil partner status, pregnancy or maternity, race, religion or belief, sex, or sexual orientation. In accordance with the General Data Protection Regulation (GDPR), your personal data will be processed lawfully, fairly, and securely. We collect and use your personal data solely for recruitment purposes, including sharing it with our client(s) for employment consideration. You have the right to request access, correction, or deletion of your data at any time. We are committed to maintaining the confidentiality and security of your information throughout the recruitment process.

Location: APAC / China / Hong Kong Job Description Location: Hong Kong — on-site (factory floor, test lab and manufacturing sites; this is not a remote or desk-based role) Start date: ASAP Languages: Fluent English and fluent Mandarin are both mandatory Industry: HPC / GPU Server Manufacturing / Sovereign Cloud Infrastructure Pragmatike is recruiting on behalf of a European deep-tech company building a sovereign, energy-efficient alternative to traditional cloud providers. Unlike most cloud players, our client designs and manufactures its own HPC infrastructure end to end — chassis, boards and containerized units — and deploys it as the hardware layer of a vertically integrated AI cloud. The company is growing fast and is expanding its manufacturing and testing capability in Hong Kong. Professional Background: We're looking for a Server Engineer with hands-on GPU/HPC hardware experience who has tested and validated servers, not just operated them. You should be comfortable moving between the factory floor and the test lab, with a strong Linux background and real familiarity with firmware and GPU software stacks (CUDA, NCCL). You take ownership of quality: if a server ships, it is because you signed off on it. Startup or hyper-growth experience is a strong plus. Autonomy, rigor and problem-solving are essential. Your Responsibilities: - Own quality control across the client's manufacturing sites, on the factory floor. - Run the hardware test lab: board and system bring-up, validation and stress testing of new server builds. - Oversee the assembly and end-to-end testing of GPU servers before they are deployed into the client's sovereign cloud. - Define and maintain test procedures, acceptance criteria and QC checkpoints for chassis, boards and full systems. - Diagnose hardware, firmware and driver-level issues (BIOS/BMC, GPU firmware, PCIe, thermals, power) and drive root-cause analysis with the design and manufacturing teams. - Validate GPU compute and interconnect performance under Linux using CUDA, NCCL and related benchmarking tools. - Document failures, yields and test results, and feed findings back into hardware design and production processes. - Coordinate day to day with manufacturing partners and local suppliers in both English and Mandarin. What You Bring: - Proven hands-on experience testing and validating GPU/HPC servers (bring-up, burn-in, validation), not only using them. - Strong Linux skills at the system and hardware level. - Firmware knowledge: BIOS/UEFI, BMC/IPMI, GPU and NIC firmware, flashing and troubleshooting. - Working knowledge of the NVIDIA GPU stack: drivers, CUDA, NCCL, and how to benchmark and diagnose multi-GPU systems. - Solid understanding of server hardware: motherboards, PCIe topology, power, cooling, storage and networking components. - Experience with QC or manufacturing test processes in a hardware production environment. - Fluent English and fluent Mandarin (both non-negotiable). - Willingness to work on-site in Hong Kong, on the factory floor and in the lab. Nice To Have: - Experience with containerized or micro-datacenter deployments (power, thermal and environmental constraints). - Familiarity with high-speed interconnects (InfiniBand, RoCE, NVLink) and their validation. - Scripting skills (Bash/Python) to automate test sequences and reporting. - Exposure to hardware supply chains or contract manufacturers in Hong Kong / Southern China. - Cantonese. Why Join Us: Our client is one of the very few cloud companies that builds its own hardware from the board up. Their mission is to deliver a sovereign, energy-efficient, high-performance alternative to traditional cloud providers, and the servers you test and validate are the physical foundation of that platform. Expect real ownership from day one, a fast-paced environment that values autonomy and problem-solving, and the chance to build something that doesn't exist yet. Pragmatike• is dedicated to a fair, transparent, and inclusive recruitment process. We ensure that no applicant is discriminated against based on age, disability, gender, gender identity or expression, marital or civil partner status, pregnancy or maternity, race, religion or belief, sex, or sexual orientation. In accordance with the General Data Protection Regulation (GDPR), your personal data will be processed lawfully, fairly, and securely. We collect and use your personal data solely for recruitment purposes, including sharing it with our client(s) for employment consideration. You have the right to request access, correction, or deletion of your data at any time. We are committed to maintaining the confidentiality and security of your information throughout the recruitment process.

Location: New York; Montréal; Toronto Workplace: Remote ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE As a Compute Solution Architect, you will support our strategic AI Infrastructure customers. In this role, you will be a trusted technical advisor, helping clients design, deploy, and scale AI solutions while managing large-scale GPU workloads involving thousands of GPUs. You will also collaborate with sales and product teams to drive growth and enhance customer satisfaction. WHAT YOU WILL DO Your responsibilities will include: - Serve as the primary technical point of contact, troubleshooting and resolving for AI Infrastructure services. - Lead the delivery of strategic GPUaaS contracts and ensure all commitments are met (timelines, SLAs, support, …). - Act as a bridge to product and support teams, providing customer feedback, relaying feature requests, and ensuring alignment with customer requirements. - Guide customers in optimizing GPU performance for ML training and inference workloads, ensuring seamless integration and scalability. - Partner with the sales team to identify new opportunities, promote the latest products, and deliver technical presentations. WHAT WE'RE LOOKING FOR - 5-10 + years in roles like Cloud Solutions Architect, Technical Account Manager, or Customer Engineer, with hands-on experience in cloud services and AI/ML workloads. - Track record as a technical pre-sales/solutions architect driving infrastructure engagements with partners through to production. - Strong understanding of AI/ML concepts and advanced implementations. - Proven success driving technical engagement and technical adoption. - Working knowledge of cluster orchestration and scheduling: Slurm, Kubernetes, and batch/HPC workload management. NICE TO HAVE - Working knowledge of model training frameworks runtimes (e.g., PyTorch, JAX, Tensorflow) and Generative AI serving runtimes (e.g., vLLM, TensorRT-LLM, SGLang, TGI, LLM-D). - Proficiency with parallel file systems (e.g., Lustre, GPFS) and object storage integration. - Familiarity with high-performance infrastructure: InfiniBand/RDMA networking, parallel storage, and multi-node distributed training topologies. WHY THIS ROLE MATTERS Compute deals require flawless execution from the initial technical commitment through deployment and production. By coordinating customers, sales, product, and support, the Compute Solution Architect ensures that infrastructure performs as expected, contractual commitments and SLAs are met, and issues are resolved quickly. This end-to-end ownership is critical to building customer trust, securing long-term adoption, and turning strategic GPUaaS contracts into successful partnerships. HIRING PROCESS - Talent Acquisition screening call - 45 min Hiring Manager & Business Acumen interview - 60 min Technical deep dive - Panel (home prep & restitution) - 30 min Value talk - Reference checks WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: New Delhi WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. The Role: This is a highly unique opportunity for a Data Scientist to join a new and rapidly growing intraday team. In this role you will partner with our close-knit team of quantitative researchers, data engineers, technologists and data sourcing colleagues to research, engineer, and validate quantitative signals derived from high-frequency equity market data across multiple global markets, while owning the full lifecycle of a signal, forming a hypothesis about what market behavior predicts, engineering it into a feature, validating it with data, and shipping it into a production research platform. This is a research-focused data science role with meaningful hands-on coding and implementing signals within our internal framework. Key responsibilities include: Research and engineer features from raw, high-frequency market data, translating market behavior hypotheses into quantitative signals. Implement signals within our internal simulation/backtesting framework, iterating between exploratory data analysis and framework-based implementation. Validate features through backtesting across historical data, checking behavior across different markets, regimes, and edge cases (e.g., market open/close, low-liquidity periods). Collaborate with research and engineering teams to align on implementation approaches, validation standards, and research decisions. Explore new and existing data sources to identify candidate signals worth developing further. Becoming a domain expert on different deep learning and machine learning applications for high frequency data, analyzing & understanding the underlying dynamics, market microstructure and behaviors within the data. Develop insights based on the data and collaborate with the research team to generate tradable Developing the utility tools that can further automate the software development, testing and deployment workflow. What You’ll Bring: Strong academic background – minimum of a bachelor’s degree in a technical or quantitative field. Strong data science background, with experience turning noisy, real-world data into validated, well-behaved signals or models. Rigorous quantitative programming skills, with the discipline to write accurate, production-quality, and performance aware code, including low-latency implementations where needed. Prior experience with C++ is a plus. Working knowledge of financial markets and how trading/market data behaves, or strong aptitude to learn it quickly. Prior market microstructure knowledge and experience with dark pools, trading and exchange data is a plus. Practical experience with and theoretical understanding of deep neural networks and other machine learning techniques in high frequency domain is a plus. Comfortably making pragmatic modeling tradeoffs under ambiguity while clearly articulating the reasoning behind them with data. Exceptional analytical & problem-solving abilities, with a strong attention to detail. By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved. WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

Location: Algiers, Algeria Workplace: hybrid Context & Vision In 2026, writing code is no longer the primary bottleneck; managing its complexity and ensuring its reliability is. We are building a highly resilient advertising platform with a very lean, senior internal team, and we intend to keep it that way. To achieve scale without the overhead of a large engineering department, we rely on an AI-first development paradigm and a philosophy borrowed from the best large-scale open-source projects. Our code is not public, but our governance is theirs: asynchronous communication, exhaustive written documentation, explicit rules, and uncompromising quality gates. It is the only way a small team of humans and AI agents ships serious systems without accumulating technical debt. This role owns the ground the whole platform runs on: the clusters, the pipelines, and the guarantees that everything ships predictably. The Role You will own the platform and delivery infrastructure end to end — the clusters, the infrastructure-as-code, the delivery pipelines, and the operational guarantees behind them. In a lean team, reliability is not a separate department; it is a discipline you carry for everyone. 1. Infrastructure as Code. Own the cloud footprint through infrastructure-as-code and a GitOps workflow. Infrastructure is declared, reviewed and versioned like any other code — no click-ops, no undocumented state. 2. Delivery Pipelines.Own CI/CD. Builds are reproducible, deployments are predictable, and rollbacks are boring. You make shipping a non-event. 3. Reliability, Performance & DR. Own observability (metrics, logs, distributed traces), performance testing, and backup / disaster-recovery. You define the SLOs that matter for a real-time serving platform and you make them measurable. 4. Quality Gates & AI-First CI. Enforce quality at every passage point in the pipeline. Integrating AI into CI/CD — automated reviews, security and policy checks — is an open frontier here, and we expect you to study it and propose implementations. Everything you build is documented; if it is not written down, it does not exist. The Tech Stack - Orchestration: managed Kubernetes on Google Cloud Platform. - IaC & GitOps: infrastructure-as-code and a GitOps workflow. - CI/CD: modern delivery pipelines (and proposals to evolve them). - Observability: metrics, logs, distributed tracing. - Runtime context: Rust services, a React frontend, streaming, relational databases. - Cloud:Google Cloud Platform. Profile & Requirements We are looking for a platform engineer who treats infrastructure as a product, owns reliability for the whole team, and is comfortable in a lean, high-quality, AI-first environment. This role is not suited to someone who wants to run a ticket queue inside a large ops team. Essential Experience - 4+ years in DevOps / platform / SRE roles, running production Kubernetes** for real workloads (GCP preferred). - Infrastructure-as-code and a GitOps  workflow in production; infrastructure declared and reviewed as code. - Solid CI/CD ownership and a real observability practice (metrics, logs, distributed tracing) - Experience defining and defending SLOs, performance and disaster-recovery for latency-sensitive systems. Core Competencies & Mindset - AI Development Lifecycle: comfort integrating AI into the delivery workflow, and a point of view on automating quality and security gates in CI. - Uncompromising Reliability: a maniacal focus on predictability, recoverability and security. Surprises in production are the enemy. - Written & Asynchronous: exceptional written communication; runbooks and ADRs are part of the job, not a favour. Effective in a distributed, async environment (Paris timezone +/- 3h). - Ownership:** you carry reliability for the whole team and raise risks before they become incidents.

Location: Auckland Workplace: OnSite ABOUT HALTER At Halter, we’re on a mission to enable farmers and graziers to run the most productive and sustainable operations. Our customers are using Halter to break free from the time-intensive constraints of conventional practices. Imagine watching 500 cattle stand up and walk calmly towards their next break? No quad bikes, no dogs, no fences. Just a group of cattle walking at their own pace. People say it looks like magic. Our customers are revolutionizing grazing with Halter. It's changing lives and transforming an industry. People join Halter to do meaningful work. By joining us you’ll be solving challenging problems within a talented team and a culture built for high performance. Our team out-think, out-work and out-care. We’re committed to delivering real change in the world - this isn’t easy, and in truth, we love that it’s hard. We’re backed to deliver on a mission that matters by Tier 1 investors including Founders Fund https://foundersfund.com, Bessemer Venture Partners https://www.bvp.com/, BOND, https://www.bondcap.com/ DCVC https://www.dcvc.com/, Blackbird https://www.blackbird.vc/, Promus Ventures https://www.promusventures.com/, Rocket Lab’s Peter Beck and Icehouse ventures https://www.icehouseventures.co.nz/?utm_term=icehouse%20ventures&utm_campaign=Brand+Keywords&utm_source=adwords&utm_medium=ppc&hsa_acc=4064636360&hsa_cam=16902737884&hsa_grp=134004309485&hsa_ad=592971340272&hsa_src=g&hsa_tgt=kwd-1082530126230&hsa_kw=icehouse%20ventures&hsa_mt=b&hsa_net=adwords&hsa_ver=3&gclid=Cj0KCQjw2v-gBhC1ARIsAOQdKY0J0DepRVFDmjQlAkJPbZuQnLSA5UVzUzOXYiPxkjX-SeVa513_BhkaAr-MEALw_wcB. To find out more, visit our LinkedIn https://www.linkedin.com/company/halter-limited & Instagram https://www.instagram.com/lifeathalter/. ABOUT THE ROLE At Halter, we're building more than software, we're transforming the way the world farms. Our smart collars let farmers shift, monitor, and care for their cattle via deep integrations and insights, all powered by our private IoT network. Behind that network is our Network team, and standing between farmers and that team is CX. We're looking for a Technical Specialist - Network to join the CX team and take ownership of resolving network and connectivity issues before they reach the Network team, while building the T2 team's ability to root cause and solve more of these issues themselves. You'll be the first line of defence for all incoming tickets related to collar connectivity, reliability, and performance, and will play a key role in resolving issues quickly, escalating effectively, and shielding the Network team from noise so they can focus on the deeper engineering work that needs their expertise. WHAT YOU'LL DO - Triage and manage any issue escalated from our T2 team related to the communications network, escalating to the Network team when deeper engineering investigation is needed - Build internal tooling (dashboards, playbooks, monitors, etc.) to streamline triage workflows and improve visibility into comms-related tickets - Investigate on-farm connectivity issues and surface insights to the Network team to improve coverage, performance, and robustness - Collaborate closely with the Network and Fleet teams to proactively detect patterns, flag potential issues, and improve first-line resolution - Train and upskill the T2 team to root cause and solve more network and connectivity issues themselves, reducing the volume of tickets that need to be escalated to this role - Identify recurring problem areas and drive longer-term solutions through tooling, process, or network improvements - Track and report on key support and reliability metrics (ticket volume, resolution time, device uptime, signal quality) - Participate in relevant on-call or roster coverage to support incident response and ensure network uptime across deployed farms - Bridge the teams, translate field and technical findings into improvements across product, process, and education, and represent escalated customer context internally so the right decisions get made. - Get on-farm when it matters; conduct on-farm investigations when remote diagnosis isn't enough, validating setups, hardware, animal behaviour, and environmental factors firsthand. WHAT WE'RE LOOKING FOR You've spent at least 2 years in a customer-facing role, ideally somewhere like technical support, or a similar role where you owned the relationship and the outcome, not just the ticket. What matters is that you have a deep, genuine care for customers and their animals, real technical curiosity, and good judgement. - Clear communicator who enjoys untangling technical issues and translating customer pain points into clear escalations - Systems-thinker who's comfortable with (or keen to learn) networking, connectivity, or distributed-systems concepts. You want to keep raising the bar, not just clear today's queue. - Ability to build simple dashboards, trackers, or playbooks to support triage - Comfort working across teams, including the Network and Fleet teams, to resolve issues quickly - Pride in clear documentation, clean triage processes, and continuous improvement - You're obsessed with delivering the best possible customer experience, not just resolving the ticket, but making sure the farmer actually leaves better off. - You're comfortable being the bridge. You can translate between Support, Product, and the field without losing anything in the handoff. - You think proactively about customer health, not just reactively about tickets. NICE TO HAVE - Prior experience in a technical support role handling network, connectivity, or IoT-related issues - Exposure to agri-tech, IoT, or hardware-enabled products - Familiarity with dashboarding or query tools (e.g. Grafana, Metabase, Athena) or willingness to learn OUR OFFICE FIRST APPROACH There’s a reason you visit your friends in person, live with your family and don’t do dinners over Zoom. Humans are wired for connection. We believe a world-class, in-person office culture is the best way for high-performing teams. Being office first is a core pillar of our culture. We believe in-person connections are key to driving your own growth, learning, impact, and building genuine long-lasting relationships. Strong relationships make it easier to disagree, give feedback, and do meaningful and aligned work. We don’t like having heaps of rules or policies, but this means having strong, trusted relationships is critical. We’re office first, not office only. This means working from the office everyday is our default setting, but we flex when we need to. We have a high-trust culture, so everyone is trusted to do what’s best for Halter. Our office vibe is something special, it’s hard to describe until you’re here, but people at Halter who have come from fully remote or hybrid companies say they could never go back - the high energy and spectacular people they are now surrounded by everyday makes work so enjoyable. Your growth, your learning and your impact is truly unlimited here, and a big part of that comes from being together solving problems, innovating, building context, and constantly learning from each other. JOIN OUR TEAM Halter is committed to promoting a diverse and inclusive workplace — a place where we can each be ourselves and do the best work of our lives. Research shows that while men apply to jobs when they meet an average of 60% of the requirements, women and under-represented groups of candidates tend to only apply when they meet every requirement. If you think you have what it takes but don’t necessarily tick every requirement on this job description, please still get in touch and apply to Halter. We’d love to chat to see if you’ll be an epic fit! If this opportunity sounds like you, please apply below by sending through your cover letter explaining why you’re excited about this role and working at Halter, along with your CV, and we’ll be in touch! Please also feel free to check out the careers page https://www.halterhq.com/careers for more information on working at Halter and don't forget to follow us on LinkedIn https://www.linkedin.com/company/halter-limited & Instagram https://www.instagram.com/lifeathalter/. WHY OUR TEAM LOVES WORKING AT HALTER: - Work that genuinely matters. Every now and again a company comes along that transforms an entire industry and leaves the world in a better place. Our team gets to be part of something truly meaningful, helping farmers improve their livelihoods, spend more time with their families, and build more sustainable operations. - Spectacular people solving hard problems. Our culture is designed for talented people to do work that changes lives. The team is filled with diverse, kind, and driven people who push each other to do their best work. You'll be thrown into the deep end, tackling complex challenges and building something tangible that solves real problems. - You'll grow here. Autonomy, mastery, and learning define how we work. You'll have the freedom to work on interesting problems, master new skills, and continuously develop yourself, both through your role and our personal growth fund. - This isn't easy, and we love that it's hard. Working at Halter will be the most rewarding and the most challenging work of your life. We move fast, take bold bets, and work hard to reshape an entire industry. As one team member put it: "Joining Halter is a bit like strapping yourself to a rocket ship, but it's an epic journey to be a part of!"

Location: Canada Workplace: Remote ABOUT THE TEAM The AI/ML Engineering team builds and operates ClickHouse's AI and machine learning products end-to-end. This includes the Agentic Data Stack, AI Functions, chDB, the in-Console copilot, and the AI/ML partnerships that distribute them — together with the shared components and expertise that let every other ClickHouse team ship AI in the surfaces they own. Our team is looking for highly skilled and experienced software engineers to join us, who will be responsible for designing, building, and operating the products that make ClickHouse the platform of choice for agents and data scientists. WHAT YOU WILL DO - Feature Development: Design and implement AI-powered features across the full stack, from backend inference services to intuitive frontend interfaces within the ClickHouse Cloud platform. - API Architecture: Create robust, scalable APIs that connect ClickHouse's database capabilities with modern AI/ML inference systems and external/internal AI services. - Ecosystem Integrations: Implement and maintain integrations with the broader AI/ML ecosystem and standards, ensuring that ClickHouse as a technology works seamlessly with popular frameworks and tools. - Technical Integration: Integrate models into production systems with proper monitoring, versioning, observability, and evaluation. - Oncall: Participate in the daytime oncall rotation along with the rest of the team. - UI/UX Implementation: Build responsive, intuitive user interfaces that make complex AI functionalities accessible and valuable to users of all technical backgrounds. WHAT YOU WILL BRING ALONG - 5+ years of software engineering experience in production environments - Exposure to working directly with AI/ML technologies - A high level of ownership and can drive features from concept to production with minimal supervision - Ability to thrive in collaborative environments and can effectively communicate technical concepts to diverse stakeholders - Strong frontend skills with TypeScript/JavaScript and React Nice to have - Experience integrating and deploying AI/ML models in production systems, including working with inference APIs and vector databases - Familiarity with cloud technologies such as AWS, Azure, or GCP, particularly services related to AI/ML deployment - Understanding of database systems and data processing pipelines, with ClickHouse experience being a significant plus - Experience building data-oriented interfaces and visualizations PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: United States Workplace: Remote NOTE: This role is not office-based, and the final candidate can be in any EMEA country ClickHouse hires in (such as The Netherlands, Germany, Spain, Italy, UK, or Portugal). We are looking for a Senior Software Engineer to drive the development of AI/ML-powered features in ClickHouse Cloud. In this role, you will bridge the gap between a high-performance database technology like ClickHouse and AI capabilities, implementing AI/ML integrations and end-to-end solutions from the Inference API layer to the user interface that enhance how users interact with and extract value from their data. What will you do? - Feature Development: Design and implement AI-powered features across the full stack, from backend inference services to intuitive frontend interfaces within the ClickHouse Cloud platform. - API Architecture: Create robust, scalable APIs that connect ClickHouse's database capabilities with modern AI/ML inference systems and external/internal AI services. - UI/UX Implementation: Build responsive, intuitive user interfaces that make complex AI functionalities accessible and valuable to users of all technical backgrounds. - Ecosystem Integrations: Implement and maintain integrations with the broader AI/ML ecosystem and standards, ensuring that ClickHouse as a technology works seamlessly with popular frameworks and tools. - Technical Integration: Integrate models into production systems with proper monitoring, versioning, observability, and evaluation. What you bring along: - 5+ years of software engineering experience in production environments - Exposure to working directly with AI/ML technologies - Strong frontend skills with TypeScript/JavaScript and React - You have a high level of ownership and can drive features from concept to production with minimal supervision - You thrive in collaborative environments and can effectively communicate technical concepts to diverse stakeholders Nice to have - Experience building data-oriented interfaces and visualizations - Experience integrating and deploying AI/ML models in production systems, including working with inference APIs and vector databases - Familiarity with cloud technologies such as AWS, Azure, or GCP, particularly services related to AI/ML deployment - Understanding of database systems and data processing pipelines, with ClickHouse experience being a significant plus #LI-Remote PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: London About Neo4j: Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems. It includes enterprise-ready knowledge graphs for accurate, explainable, and governed AI; the most comprehensive, trusted, and easy-to-deploy graph capabilities across any environment and data source; and an unmatched ecosystem trusted by 84 of the Fortune 100 and supported by the world’s largest graph community. Intelligence that works. Results that matter. Built to work everywhere and integrate with everything across every cloud for dynamic, personalized, and autonomous AI systems. We deliver quicker results, contextual knowledge, and solutions that impact customers and employees across the business. Our Vision: At Neo4j, we have always strived to help the world make sense of data. As business, society and knowledge become increasingly connected, our technology promotes innovation by helping organizations to find and understand data relationships. We created, drive and lead the graph database category, and we’re disrupting how organizations leverage their data to innovate and stay competitive. The Role - Solutions Engineer for Financial Services Neo4j is the world’s leading graph database, and our Solutions Engineering (PreSales) team plays a pivotal role in helping customers unlock its potential every day. Neo4j has established itself as a premier data and AI platform for enterprise use cases across Knowledge Graphs, Network & Grid Topology, Root-Cause & Impact Analysis, Fraud & AML, Customer 360, Asset Intelligence, and modern AI workloads including GenAI, LLM-driven applications, and emerging Agentic AI architectures. As part of Neo4j’s Solutions Engineering (PreSales) organization, you will work directly with strategic and enterprise Financial Sector customers. You’ll provide technical and architectural leadership, helping customers design Neo4j-powered solutions that deliver measurable business value. The role of a Solutions Engineer (PreSales) encompasses a broad range of responsibilities, starting with understanding a customer’s unique requirements and environment. You’ll translate these into tailored solution architectures that incorporate Neo4j’s advanced graph technology, guiding stakeholders throughout the sales cycle. Daily work includes demonstrating Neo4j’s capabilities, whiteboarding solution designs, and engaging with technical decision-makers to align solutions with their strategic priorities. You’ll bridge the gap between business and technology, combining technical strength with the ability to articulate clear value and outcomes. Main Responsibilities Act as a central player in Neo4j Solution Engineering engagements, supporting customers across the entire customer lifecycle — from early discovery to architecture design, proof-of-value, and long-term adoption. Build and nurture strong relationships with strategic and enterprise customer teams. Partner closely with Account Executives to communicate the technical and business impact of graph solutions. Ensure strong technical alignment and smooth integration of Neo4j into customer environments. Provide architectural recommendations aligned with customer strategies and IT landscapes. Design and present Neo4j-based prototypes that demonstrate both technical feasibility and business value. Key Role Characteristics Experience: At least 5 years in PreSales / Solutions Engineering or Professional Services, ideally with enterprise customers in Financial Services. Database Expertise: Strong understanding of database platforms, particularly NoSQL. Knowledge of GenAI, LLM architectures, RAG, or Agentic AI frameworks. Solution Design: Ability to translate business requirements into effective solution architectures. Technical Proficiency: Familiarity with a programming or scripting language (Java, Python, JavaScript, etc.). Consultative Skills: Proven experience guiding technical teams through complex, consultative engagements. Adaptability: Strong desire to learn and quickly adopt emerging technologies. Problem-Solving: Passion for tackling complex technical challenges with innovative solutions. Enablement: Ability to lead technical workshops and small-group sessions. Sales Alignment: Comfortable managing the technical aspects of enterprise sales cycles. Beneficial Qualifications Hands-on experience with graph technologies (Neo4j, Cypher, GDS, GraphQL). Experience with vector search, embeddings, or semantic retrieval. Background in graph data science, network analysis, or ML pipelines. ETL, data integration, or data virtualization expertise. Familiarity with complex enterprise IT environments. Why Join Neo4j? Neo4j is, without question, the most popular graph intelligence platform in the world. We have customers in every industry globally, and our products are a proven product/market fit. Joining our team is an opportunity to shape the future of data and analytics. Below are just a few exciting facts about Neo4j. Neo4j is one of the fastest-scaling technology companies in this industry. It recently surpassed $200M in annual recurring revenue (ARR), doubling its ARR over the past three years. Raised the biggest funding round in database history ($325M Series F). Backed by world-class investors like Eurazeo, GV (formerly Google Ventures), and Inovia Capital, Neo4j has raised over $600M in funding and is currently valued at over $2Bn. This puts Neo4j among the most well-funded database companies in history. 84% of the Fortune 100 and 58% of the Fortune 500 use Neo4j. Examples include Boston Scientific , BT Group , Caterpillar , Cisco , Comcast , Department for Education UK , eBay , NBC News , Novo Nordisk , Worldline , and others . Co-founder and CEO Emil Eifrem has built an amazing culture that prides itself on relationships, inclusiveness, innovation, and customer success. Countless industry awards . Massive enterprises and individual developers/data scientists love Neo4j. A strong sense of community and ecosystem is built around the platform. A recent Forrester Total Economic Impact™ Study cited Neo4j as delivering 417% ROI to customers. Research shows that members of underrepresented communities are less likely to apply for jobs when they don’t meet all the qualifications. If this is part of the reason you hesitate to apply, we’d encourage you to reconsider and give us the opportunity to review your application. At Neo4j, we are committed to building awareness and helping to improve these issues. One of our central objectives is to provide an inclusive, diverse, and equitable workplace for everyone to develop their potential and have a positive, career-defining experience. We look forward to receiving your application. Neo4j Values: Neo4j is a Silicon Valley company with a Swedish soul. We foster collaboration and each of us is empowered to contribute and put our innovative stamp on projects. We hire candidates who reflect the following Neo4j core values: (we)-[:VALUE]->(relationships) (we)-[:FOCUS_ON]->(userSuccess) (we)-[:THRIVE_IN]->(:Culture {type: [‘Open’, ‘Inclusive’]}) (we)-[:ASSUME]->(:Intent {direction:’Positive’}) (we)-[:WELCOME]->(:Discussions {nature: ‘IntellectuallyHonest’}) (we)-[:DELIVER_ON]->(ourCommitments) Neo4j is committed to protecting and respecting your privacy. Please read the privacy notice regarding Neo4j's recruitment process to understand how we will handle the personal data that you provide. More information at www.neo4j.com . ©2026 Neo4j, Inc., Neo Technology®, Neo4j®, Cypher®, Neo4j Bloom™, Neo4j Graph Data Science Library™, Neo4j® Aura™, and Neo4j® AuraDB™ are registered trademarks or a trademark of Neo4j, Inc. All other marks are owned by their respective companies.

Location: Brazil; Peru; Sweden; Colombia; Argentina; Romania; Malta; Slovenia; Lithuania; Czech Republic; Estonia; Hungary; Mexico; Chile; Poland; Bulgaria Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. The Pro Verifications team decides whether a business signing up on the Pro side is who it says it is, and whether we're allowed to onboard it. That means figuring out who actually owns the business, running it against sanctions and watchlists, and doing all of it fast enough that a real customer doesn't lose patience and leave. Every Pro customer hits these systems, so slow or wrong is very visible — and the team is early, which means whoever joins gets to decide how a lot of it works instead of inheriting it. How We Work - We deploy constantly, almost always behind a flag, in pieces small enough to pull back fast. - Security and compliance show up at design time, not as a gate at the end. - Every story is tied to a metric it's meant to move — if work isn't on the board, it doesn't get staffed. - At this level, you're expected to shape these standards, not just work inside them.   THE OPPORTUNITY As a Staff Engineer on Pro Verifications, you'll own the technical direction for how verification is built here — the architecture, the patterns other engineers work inside, and the calls about what we own versus what we lean on a vendor for. You'll be hands-on across the stack, drive out entire classes of recurring failure rather than patching them one at a time, and design the fail-closed and audit behavior that keeps regulators satisfied. This is a high-impact, hands-on technical leadership role for engineers who've built where being wrong has real consequences, and who want to shape a system that stays fast, safe, and defensible as it grows. - Set the shape of the verification services and their contracts across the KYC/KYB flow. - Decide how we abstract KYC and KYB vendors so a bad provider day doesn't turn into an outage. - Design fail-closed behavior and audit trails that hold up under regulatory scrutiny. - Identify the classes of failure that keep recurring and remove them for good. - Write and drive architecture decisions (ADRs), and hold the line on security and compliance at design time, not as a late gate. - Mentor and raise the bar for senior engineers through design reviews, code, and direct feedback. - Be measured on whether verification gets faster, more of it decides itself, fewer decisions are wrong, and the systems stay up — and on whether the team got stronger for you being on it.   WHAT YOU BRING - Around eight years building and running production systems, with a track record of owning a domain's technical direction, not just delivering inside one. - Deep, fluent expertise in Rust, with the versatility to work across TypeScript and React where verification meets the customer. - You've set architecture other people build on, and it held up — you can point to specific classes of failure you designed out, not just incidents you fixed. - You've made teams faster through patterns, tooling, or mentoring — engineers around you got better and shipped more because of calls you made. - You've built where being wrong had real consequences: compliance, payments, security, or anywhere a bad call costs more than a rough user experience. - Strong on distributed systems, service contracts, and secure design — you've integrated third-party APIs that couldn't be trusted, with real timeouts, retries, idempotency, circuit breakers, and backup paths that actually get tested. - Comfortable with, or able to quickly ramp on, gRPC, Temporal, Docker, Kubernetes, Terraform, MySQL/MariaDB, Redis, and GitLab CI.   NICE TO HAVES - Direct experience with KYC, KYB, or fraud work, including integrating providers like Trulioo, Persona, or ComplyAdvantage. - Comfort building with AI in the loop. - Time spent in crypto, fintech, or another space regulators pay close attention to.         Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on X https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: Spain Workplace: Remote ABOUT THE TEAM The AI/ML Engineering team builds and operates ClickHouse's AI and machine learning products end-to-end. This includes the Agentic Data Stack, AI Functions, chDB, the in-Console copilot, and the AI/ML partnerships that distribute them — together with the shared components and expertise that let every other ClickHouse team ship AI in the surfaces they own. Our team is looking for highly skilled and experienced software engineers to join us, who will be responsible for designing, building, and operating the products that make ClickHouse the platform of choice for agents and data scientists. WHAT YOU WILL DO - Feature Development: Design and implement AI-powered features across the full stack, from backend inference services to intuitive frontend interfaces within the ClickHouse Cloud platform. - API Architecture: Create robust, scalable APIs that connect ClickHouse's database capabilities with modern AI/ML inference systems and external/internal AI services. - Ecosystem Integrations: Implement and maintain integrations with the broader AI/ML ecosystem and standards, ensuring that ClickHouse as a technology works seamlessly with popular frameworks and tools. - Technical Integration: Integrate models into production systems with proper monitoring, versioning, observability, and evaluation. - Oncall: Participate in the daytime oncall rotation along with the rest of the team. - Developer Experience: Design and implement developer tools, SDKs, and documentation that enable users to leverage ClickHouse’s AI/ML capabilities. WHAT YOU WILL BRING ALONG - 5+ years of software engineering experience in production environments - Exposure to working directly with AI/ML technologies - Backend development experience in TypeScript or Python, with a focus on API design and service architecture - A high level of ownership and can drive features from concept to production with minimal supervision - Ability to thrive in collaborative environments and can effectively communicate technical concepts to diverse stakeholders Nice to have - Experience integrating and deploying AI/ML models in production systems, including working with inference APIs and vector databases - Familiarity with cloud technologies such as AWS, Azure, or GCP, particularly services related to AI/ML deployment - Understanding of database systems and data processing pipelines, with ClickHouse experience being a significant plus PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Lisbon, Portugal or Austin, US About the role Cloudflare is scaling one of the largest global networks on the Internet, and capacity planning is what keeps that growth ahead of demand. As an Infrastructure Network & Supply Planner on our Infrastructure Capacity Planning team you'll build the products, tools, and AI agents that turn growth and demand forecasts into scalable, execution-ready infrastructure expansions, ensuring the right capacity is in the right place, at the right time and cost, in the shortest time possible. You'll design and ship internal products — forecasting models, planning systems, dashboards, and automated workflows — that make end-to-end infrastructure readiness faster, cheaper, and more reliable at global scale You'll refine and create new AI agents to model demand into supply, network, and capacity scenarios and surface risks early, producing force multipliers that let planners see the whole system and act quickly — shifting time from reactive task-processing to proactive strategy, and scaling impact. You'll partner across planning, operations, procurement, logistics, engineering, and finance to keep Cloudflare's global deployments moving smoothly. What you'll do I nfrastructure Capacity & Expansion Planning Translate demand forecasts into infrastructure capacity plans that support business growth, aligning hardware deployments with performance, cost, and timeline targets. Ensure infrastructure readiness across space, power, connectivity, and hardware availability, identifying capacity constraints early and coordinating mitigation. Deployment Planning & Execution Coordination Build quarterly and weekly deployment plans that are realistic, balanced, and optimized for execution efficiency across operations, logistics, integration partners, and engineering teams. Track progress, resolve blockers, and maintain deployment momentum across the global fleet. Supply, Inventory & Lifecycle Readiness Partner with Procurement and Data Center teams to ensure hardware and resources are available at the right time and locations, and manage inventory to balance availability, cost efficiency, and operational risk. Support hardware refresh and asset lifecycle planning, and align infrastructure investments with budget and growth plans alongside Finance. AI-First Products, Automation & Continuous Improvement Design, build, and ship internal products — forecasting models, dashboards, planning systems, and automated workflows — using AI/agentic tooling to structure messy data, run scenario analyses, and improve planning accuracy. Identify high-leverage opportunities to automate repetitive work, introduce new tools and methodologies, and continuously improve how planning and deployment operate at scale. Cross-Functional Collaboration Act as a central layer across planning, operations, engineering, logistics, procurement, and finance to keep Cloudflare's global deployments moving smoothly. Desirable Skills, Knowledge, and Experience: Experience in capacity planning, infrastructure planning, production/operations planning, supply planning, or a related technical planning role. Strong analytical and problem-solving skills, with experience across complex operational systems and managing multiple priorities in fast-paced environments. Hands-on experience building tools, automation, or internal products Fluency with AI tools in daily work, and a genuine appetite to use and create AI/agentic tooling to scale decision-making and eliminate manual toil. Excellent communication and stakeholder-management skills. Compensation Compensation may be adjusted depending on work location. For Portugal based hires: Estimated annual salary of €36,000-50,000. What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.