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Location: Amsterdam, Netherlands; Remote - Europe; Remote - United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role AI is moving faster than any single product team can track. Nebius is expanding across serverless, databases, MLflow, MLOps, Physical AI, and HCLS — and customers arriving with complex, real-world ML workloads need more than documentation. This role exists to close that gap: someone who can prototype what's possible, accelerate customers through their first 90 days, and feed hard-won field insight back into the product roadmap. This role sits at the intersection of deep ML engineering and product impact. You'll spend roughly half your time in the field — helping new customers move from POC to production, running technical onboarding, and working hands-on through their ML stack. The other half you'll spend building — prototyping applied AI use cases that show what's possible on the platform, going deep on emerging techniques before they're mainstream, and turning that expertise into concrete product direction. This is not a presales role. You get your hands dirty every day. What success looks like in 12 months The product and sales teams have a library of working, polished demos they reach for on calls Enterprise customers you've touched have meaningfully faster time-to-value than those you haven't At least 2–3 product changes were shipped because of feedback you originated The team understands where applied AI is heading 6–12 months from now, partly because you told them Your responsibilities will include: Build prototypes and demos across the product portfolio — serverless inference, databases, MLflow, MLOps, and vertical use cases in Physical AI and HCLS — that become assets for sales, product, and engineering teams Support new customers hands-on through POC design, technical onboarding, and validation; act as the bridge between their ML team and the platform during the critical first months Go deep on emerging applied AI — new training techniques, inference optimizations, agentic architectures, new frameworks — and turn findings into working prototypes, writeups, and product recommendations Feed the product roadmap with specific, grounded feedback; be the voice of "here's what broke in three customer POCs last month and here's what needs to change" Develop reusable technical assets — notebooks, reference architectures, benchmark results — that reduce onboarding friction at scale We expect you to have: You've fine-tuned large models, debugged distributed training jobs, built production RAG or agentic pipelines, and optimized inference on GPU infrastructure — not just read about it You're fluent in the modern ML stack: PyTorch, HuggingFace, CUDA fundamentals, Kubernetes for ML, MLflow or equivalent, vector databases You've worked with enterprise ML teams — whether as a solutions engineer, customer engineer, or an ML engineer who collaborated closely with customers You read papers and implement them — not for credit, but because it's how you stay sharp You communicate with calibration: you can explain activation checkpointing tradeoffs to an ML engineer in the morning and the cost implication to a CTO in the afternoon It will be an added bonus if you have: Experience in any of our vertical domains: Physical AI / robotics / simulation, HCLS (drug discovery, medical imaging, clinical NLP), or enterprise AI application development Familiarity with MLOps at scale (Kubeflow, Metaflow, Argo, Ray) Prior work at a cloud provider or AI infrastructure company You've shared technical work publicly — notebooks, talks, blog posts that people actually use Who thrives here You'll thrive here if you're energized by variety — one day deep in a customer's MLOps stack, the next building a demo from scratch. You want your technical depth to influence product decisions, not just close deals. What we offer Competitive salary and comprehensive benefits package. Opportunities for professional growth within Nebius. Flexible working arrangements. A dynamic and collaborative work environment that values initiative and innovation. We're growing and expanding our products every day. If you're up to the challenge and are excited about AI and ML as much as we are, join us! Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $200 — $350,000 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Porto, Portugal Workplace: remote We are seeking a Prompt Engineer to be responsible for the end-to-end technical migration workflow for transitioning templates to LLM autoraters. The role is required to use client’s internal tools to leverage prompt engineering techniques to maximize model performance. Responsibilities: Utilize Automatic Prompt Generation (APG) tools to create baseline prompts for complex parent-child template clusters. Run and supervise Automated Prompt Optimization (APO) tool, review the outputs, and flag when the APO reaches deadlocks or plateaus. Manually draft, test, and refine prompts to navigate complex template architectures, overcome anti-patterns, and handle edge cases where tooling is lacking or broken. Solve edge-case scenarios by designing and refining manual prompts. Monitor shadowbot runs to ensure sufficient disagreements (between human and LLM ratings) are registered, generated, and tracked. Run prompt versions against established gold data to continuously measure autorater quality against the human crowd baseline, calculating accuracy metrics such as F1 scores, precision, and recall. Draft technical launch readiness justifications (Launch Certification Documentation) for final. Requirement: Language Skills : Native fluency in Portuguese and fluent in English. Location: Must be based in Portugal. Education : Bachelor’s, Master’s, or Doctorate degree in Computer Science, Data Science, Computational Linguistics, Human-Computer Interaction (HCI), Cognitive Science, or a related analytical field. Prompt Engineering & AI Expertise : At least 4 years' experience as Prompt Engineer. Proven experience tuning Large Language Models (LLMs) for strict, structured outputs, complex classification tasks, and familiarity with chain-of-thought and few-shot learning. Data Analysis : Strong proficiency in identifying error patterns, analyzing model performance, and using SQL or other data analytics tools. Technical Agility : Ability to quickly learn and master proprietary tools with minimal supervision. Communication : Excellent verbal and written communication skills. Optional / Preferred Skills: Familiarity with enterprise-grade LLM interfaces like the Goose API. Experience in AI model evaluation, data science, computational linguistics, or software engineering. Hands-on experience with Automated Prompt Optimization (APO) systems or tuning workflows. Linguistic expertise, including an understanding of semantics and logic.

Location: Netherlands Workplace: remote We are seeking a Prompt Engineer to be responsible for the end-to-end technical migration workflow for transitioning templates to LLM autoraters. The role is required to use client’s internal tools to leverage prompt engineering techniques to maximize model performance. Responsibilities: Utilize Automatic Prompt Generation (APG) tools to create baseline prompts for complex parent-child template clusters. Run and supervise Automated Prompt Optimization (APO) tool, review the outputs, and flag when the APO reaches deadlocks or plateaus. Manually draft, test, and refine prompts to navigate complex template architectures, overcome anti-patterns, and handle edge cases where tooling is lacking or broken. Solve edge-case scenarios by designing and refining manual prompts. Monitor shadowbot runs to ensure sufficient disagreements (between human and LLM ratings) are registered, generated, and tracked. Run prompt versions against established gold data to continuously measure autorater quality against the human crowd baseline, calculating accuracy metrics such as F1 scores, precision, and recall. Draft technical launch readiness justifications (Launch Certification Documentation) for final. Requirement: Language Skills : Native fluency in Dutch and fluent in English. Location: Must be based in Netherlands. Education : Bachelor’s, Master’s, or Doctorate degree in Computer Science, Data Science, Computational Linguistics, Human-Computer Interaction (HCI), Cognitive Science, or a related analytical field. Prompt Engineering & AI Expertise : At least 4 years' experience as Prompt Engineer. Proven experience tuning Large Language Models (LLMs) for strict, structured outputs, complex classification tasks, and familiarity with chain-of-thought and few-shot learning. Data Analysis : Strong proficiency in identifying error patterns, analyzing model performance, and using SQL or other data analytics tools. Technical Agility : Ability to quickly learn and master proprietary tools with minimal supervision. Communication : Excellent verbal and written communication skills. Optional / Preferred Skills: Familiarity with enterprise-grade LLM interfaces like the Goose API. Experience in AI model evaluation, data science, computational linguistics, or software engineering. Hands-on experience with Automated Prompt Optimization (APO) systems or tuning workflows. Linguistic expertise, including an understanding of semantics and logic.

Location: Japan Workplace: remote We are seeking a Prompt Engineer to be responsible for the end-to-end technical migration workflow for transitioning templates to LLM autoraters. The role is required to use client’s internal tools to leverage prompt engineering techniques to maximize model performance. Responsibilities: Utilize Automatic Prompt Generation (APG) tools to create baseline prompts for complex parent-child template clusters. Run and supervise Automated Prompt Optimization (APO) tool, review the outputs, and flag when the APO reaches deadlocks or plateaus. Manually draft, test, and refine prompts to navigate complex template architectures, overcome anti-patterns, and handle edge cases where tooling is lacking or broken. Solve edge-case scenarios by designing and refining manual prompts. Monitor shadowbot runs to ensure sufficient disagreements (between human and LLM ratings) are registered, generated, and tracked. Run prompt versions against established gold data to continuously measure autorater quality against the human crowd baseline, calculating accuracy metrics such as F1 scores, precision, and recall. Draft technical launch readiness justifications (Launch Certification Documentation) for final. Requirement: Language Skills : Native fluency in Japanese and fluent in English. Location: Must be based in Japan. Education : Bachelor’s, Master’s, or Doctorate degree in Computer Science, Data Science, Computational Linguistics, Human-Computer Interaction (HCI), Cognitive Science, or a related analytical field. Prompt Engineering & AI Expertise : At least 4 years' experience as Prompt Engineer. Proven experience tuning Large Language Models (LLMs) for strict, structured outputs, complex classification tasks, and familiarity with chain-of-thought and few-shot learning. Data Analysis : Strong proficiency in identifying error patterns, analyzing model performance, and using SQL or other data analytics tools. Technical Agility : Ability to quickly learn and master proprietary tools with minimal supervision. Communication : Excellent verbal and written communication skills. Optional / Preferred Skills: Familiarity with enterprise-grade LLM interfaces like the Goose API. Experience in AI model evaluation, data science, computational linguistics, or software engineering. Hands-on experience with Automated Prompt Optimization (APO) systems or tuning workflows. Linguistic expertise, including an understanding of semantics and logic.

Location: Italy Workplace: remote We are seeking a Prompt Engineer to be responsible for the end-to-end technical migration workflow for transitioning templates to LLM autoraters. The role is required to use client’s internal tools to leverage prompt engineering techniques to maximize model performance. Responsibilities: Utilize Automatic Prompt Generation (APG) tools to create baseline prompts for complex parent-child template clusters. Run and supervise Automated Prompt Optimization (APO) tool, review the outputs, and flag when the APO reaches deadlocks or plateaus. Manually draft, test, and refine prompts to navigate complex template architectures, overcome anti-patterns, and handle edge cases where tooling is lacking or broken. Solve edge-case scenarios by designing and refining manual prompts. Monitor shadowbot runs to ensure sufficient disagreements (between human and LLM ratings) are registered, generated, and tracked. Run prompt versions against established gold data to continuously measure autorater quality against the human crowd baseline, calculating accuracy metrics such as F1 scores, precision, and recall. Draft technical launch readiness justifications (Launch Certification Documentation) for final. Requirement: Language Skills : Native fluency in Italian and fluent in English. Location: Must be based in Italy. Education : Bachelor’s, Master’s, or Doctorate degree in Computer Science, Data Science, Computational Linguistics, Human-Computer Interaction (HCI), Cognitive Science, or a related analytical field. Prompt Engineering & AI Expertise : At least 4 years' experience as Prompt Engineer. Proven experience tuning Large Language Models (LLMs) for strict, structured outputs, complex classification tasks, and familiarity with chain-of-thought and few-shot learning. Data Analysis : Strong proficiency in identifying error patterns, analyzing model performance, and using SQL or other data analytics tools. Technical Agility : Ability to quickly learn and master proprietary tools with minimal supervision. Communication : Excellent verbal and written communication skills. Optional / Preferred Skills: Familiarity with enterprise-grade LLM interfaces like the Goose API. Experience in AI model evaluation, data science, computational linguistics, or software engineering. Hands-on experience with Automated Prompt Optimization (APO) systems or tuning workflows. Linguistic expertise, including an understanding of semantics and logic.

Location: Spain Workplace: remote We are seeking a Prompt Engineer to be responsible for the end-to-end technical migration workflow for transitioning templates to LLM autoraters. The role is required to use client’s internal tools to leverage prompt engineering techniques to maximize model performance. Responsibilities: Utilize Automatic Prompt Generation (APG) tools to create baseline prompts for complex parent-child template clusters. Run and supervise Automated Prompt Optimization (APO) tool, review the outputs, and flag when the APO reaches deadlocks or plateaus. Manually draft, test, and refine prompts to navigate complex template architectures, overcome anti-patterns, and handle edge cases where tooling is lacking or broken. Solve edge-case scenarios by designing and refining manual prompts. Monitor shadowbot runs to ensure sufficient disagreements (between human and LLM ratings) are registered, generated, and tracked. Run prompt versions against established gold data to continuously measure autorater quality against the human crowd baseline, calculating accuracy metrics such as F1 scores, precision, and recall. Draft technical launch readiness justifications (Launch Certification Documentation) for final. Requirement: Language Skills : Native fluency in Spanish and fluent in English. Location: Must be based in Spain. Education : Bachelor’s, Master’s, or Doctorate degree in Computer Science, Data Science, Computational Linguistics, Human-Computer Interaction (HCI), Cognitive Science, or a related analytical field. Prompt Engineering & AI Expertise : At least 4 years' experience as Prompt Engineer. Proven experience tuning Large Language Models (LLMs) for strict, structured outputs, complex classification tasks, and familiarity with chain-of-thought and few-shot learning. Data Analysis : Strong proficiency in identifying error patterns, analyzing model performance, and using SQL or other data analytics tools. Technical Agility : Ability to quickly learn and master proprietary tools with minimal supervision. Communication : Excellent verbal and written communication skills. Optional / Preferred Skills: Familiarity with enterprise-grade LLM interfaces like the Goose API. Experience in AI model evaluation, data science, computational linguistics, or software engineering. Hands-on experience with Automated Prompt Optimization (APO) systems or tuning workflows. Linguistic expertise, including an understanding of semantics and logic.

Location: France Workplace: remote We are seeking a Prompt Engineer to be responsible for the end-to-end technical migration workflow for transitioning templates to LLM autoraters. The role is required to use client’s internal tools to leverage prompt engineering techniques to maximize model performance. Responsibilities: Utilize Automatic Prompt Generation (APG) tools to create baseline prompts for complex parent-child template clusters. Run and supervise Automated Prompt Optimization (APO) tool, review the outputs, and flag when the APO reaches deadlocks or plateaus. Manually draft, test, and refine prompts to navigate complex template architectures, overcome anti-patterns, and handle edge cases where tooling is lacking or broken. Solve edge-case scenarios by designing and refining manual prompts. Monitor shadowbot runs to ensure sufficient disagreements (between human and LLM ratings) are registered, generated, and tracked. Run prompt versions against established gold data to continuously measure autorater quality against the human crowd baseline, calculating accuracy metrics such as F1 scores, precision, and recall. Draft technical launch readiness justifications (Launch Certification Documentation) for final. Requirement: Language Skills : Native fluency in French and fluent in English. Location: Must be based in France. Education : Bachelor’s, Master’s, or Doctorate degree in Computer Science, Data Science, Computational Linguistics, Human-Computer Interaction (HCI), Cognitive Science, or a related analytical field. Prompt Engineering & AI Expertise : At least 4 years' experience as Prompt Engineer. Proven experience tuning Large Language Models (LLMs) for strict, structured outputs, complex classification tasks, and familiarity with chain-of-thought and few-shot learning. Data Analysis : Strong proficiency in identifying error patterns, analyzing model performance, and using SQL or other data analytics tools. Technical Agility : Ability to quickly learn and master proprietary tools with minimal supervision. Communication : Excellent verbal and written communication skills. Optional / Preferred Skills: Familiarity with enterprise-grade LLM interfaces like the Goose API. Experience in AI model evaluation, data science, computational linguistics, or software engineering. Hands-on experience with Automated Prompt Optimization (APO) systems or tuning workflows. Linguistic expertise, including an understanding of semantics and logic.

Location: Germany Workplace: remote We are seeking a Prompt Engineer to be responsible for the end-to-end technical migration workflow for transitioning templates to LLM autoraters. The role is required to use client’s internal tools to leverage prompt engineering techniques to maximize model performance. Responsibilities: Utilize Automatic Prompt Generation (APG) tools to create baseline prompts for complex parent-child template clusters. Run and supervise Automated Prompt Optimization (APO) tool, review the outputs, and flag when the APO reaches deadlocks or plateaus. Manually draft, test, and refine prompts to navigate complex template architectures, overcome anti-patterns, and handle edge cases where tooling is lacking or broken. Solve edge-case scenarios by designing and refining manual prompts. Monitor shadowbot runs to ensure sufficient disagreements (between human and LLM ratings) are registered, generated, and tracked. Run prompt versions against established gold data to continuously measure autorater quality against the human crowd baseline, calculating accuracy metrics such as F1 scores, precision, and recall. Draft technical launch readiness justifications (Launch Certification Documentation) for final. Requirement: Language Skills : Native fluency in German and fluent in English. Location: Must be based in Germany. Education : Bachelor’s, Master’s, or Doctorate degree in Computer Science, Data Science, Computational Linguistics, Human-Computer Interaction (HCI), Cognitive Science, or a related analytical field. Prompt Engineering & AI Expertise : At least 4 years' experience as Prompt Engineer. Proven experience tuning Large Language Models (LLMs) for strict, structured outputs, complex classification tasks, and familiarity with chain-of-thought and few-shot learning. Data Analysis : Strong proficiency in identifying error patterns, analyzing model performance, and using SQL or other data analytics tools. Technical Agility : Ability to quickly learn and master proprietary tools with minimal supervision. Communication : Excellent verbal and written communication skills. Optional / Preferred Skills: Familiarity with enterprise-grade LLM interfaces like the Goose API. Experience in AI model evaluation, data science, computational linguistics, or software engineering. Hands-on experience with Automated Prompt Optimization (APO) systems or tuning workflows. Linguistic expertise, including an understanding of semantics and logic.

Location: South Africa; Philippines; Mexico; Colombia; Argentina; Uruguay About Huzzle At Huzzle, we connect high-performing professionals with global companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries like SaaS, MarTech, FinTech, and EdTech. We match top talent to full-time remote roles where they’re hired directly into client teams and provided ongoing support by Huzzle. Role Type: Full-time Engagement: Independent Contractor Job Summary We are seeking a highly proactive AI Automation Engineer to help design, develop, and deploy custom AI-powered automation systems. Working closely with the CTO, you will help pioneer AI builds using Claude Code, n8n, and automation frameworks , delivering solutions that improve efficiency and solve real-world operational challenges for clients. This role is client-facing , meaning strong communication skills and the ability to recommend improvements or alternative solutions are essential. The ideal candidate is someone who enjoys problem-solving, building systems from scratch, and finding smarter ways to automate complex workflows. Key Responsibilities Design and build AI-powered automation systems using Claude Code, n8n, and related platforms. Develop custom workflows that integrate AI capabilities into business operations. Collaborate closely with the CTO to prototype and deploy new automation solutions . Build and maintain scalable AI workflows and automation pipelines . Troubleshoot, debug, and optimize existing automation builds. Work directly with clients to understand requirements and recommend the most effective AI solutions. Proactively identify opportunities to simplify or improve system architecture. Contribute ideas, improvements, and technical insights to strengthen project outcomes. Document builds and processes to support long-term system scalability. Requirements Proven experience building automation workflows with n8n . Hands-on experience working with Claude Code or similar AI coding environments . Strong problem-solving ability and a proactive mindset. Ability to communicate technical concepts clearly in client-facing conversations . Comfortable working in a fast-paced startup environment where processes are evolving. Experience building automation systems that improve operational efficiency. Strong initiative and willingness to recommend better technical solutions. Nice-to-Have Skills Programming experience (Python, JavaScript, or similar). Experience with Make.com or other automation platforms . Knowledge of Supabase or similar backend infrastructure tools . Experience with debugging and bug fixing in complex workflows. Experience designing AI-powered infrastructure or scalable automation systems . Background in AI integrations or workflow orchestration. Benefits 💻 Fully Remote: Work from anywhere with international teams 🚀 Career Growth: Join companies in SaaS, MarTech, and B2B services 🤝 Peer Community: Connect with high-performing sales professionals in our network 🧭 Ongoing Support: Receive guidance from Huzzle before and after placement 💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals

Location: Cincinnati, United States The Continuous Improvement Manufacturing Engineer is part of the company’s corporate Engineering team and will be based at one of the plant locations in Monroe, OH; Jackson, TN; Somerset, KY; or Valparaiso, IN. This position will lead the Continuous Improvement focus at the plant level while also supporting new product launch activities. The Continuous Improvement Manufacturing Engineer will serve as the primary resource for Continuous Improvement team training and assist the plants in sustaining gains achieved through CI efforts. This position will support kaizen events at the plants and will drive best practice standardization across all plant locations. This position will also support new product launch activities at the plants, with the goal of achieving all KPIs at the cost sheet level at the start of production. What you will do at the company: Serve as the Continuous Improvement subject matter expert for the company. Schedule and participate in kaizen events, including cycle time analysis, brainstorming, problem-solving, standard work, setup reduction, 5S, cell layout, visual management, and error-proofing activities in the plants. Coach, train, and mentor plant Continuous Improvement team members on TPS and CI principles. Support best practice implementation and standardization across all plants through consistent communication and visits to other plant locations. Assist production operations in driving manufacturing efficiency improvements across all plants using process improvement tactics, lean manufacturing, Six Sigma, and kaizen. Update and maintain all Continuous Improvement procedures and standards within the Docushare database. Assist with product launch activities at the plants to ensure processes are developed to meet all cost sheet KPIs, including labor content, cycle time/PPH, and scrap levels. Maintain systems used to supply trial production data for launch report card maintenance. Provide clear work instructions, training, and system designs to support the sustainability of improvements. Support Agile tasks related to product launch inputs such as environmental and safety analysis, process layout, trial reports, and PFMEAs. Provide feedback to corporate Project and Tooling Engineering Managers to ensure equipment and tooling standards are updated based on plant best practices. Promote and drive efficiency and safety at the plants. Perform other related duties as assigned. What you will bring to the company: Bachelor’s degree in Mechanical Engineering, Industrial Engineering, or an equivalent field from an accredited college or university, or an equivalent combination of education and experience. Strong TPS and CI skills, with the ability to coach, mentor, and train team members. 3 to 8 years of related experience and/or training in continuous improvement within a manufacturing environment. High level of technical aptitude with a strong understanding of systems, equipment, and processes. Hands-on experience and the ability to troubleshoot complex manufacturing equipment. Ability to effectively present information to top management, public groups, and boards of directors. Ability to apply advanced mathematical concepts and principles of logical or scientific thinking to a wide range of practical and technical problems. Proficiency in Microsoft Office applications, including Word, Excel, and Outlook, as well as Internet tools, AutoCAD, and design software. Required knowledge and understanding: TPS and Continuous Improvement principles Lean Manufacturing Proficiency in AutoCAD Travel Requirements: This position requires travel up to 50% of the time. Salary: $100,000 – $125,000 / year

Location: United Kingdom; Denmark; Portugal; France; Spain; Germany; Italy; The Netherlands Workplace: Remote About the role We are committed to providing our customers with reliable and secure services so we are expanding our central Site Reliability Engineering team. You will be responsible for building and leading processes to ensure the reliability, availability, scalability, and performance of our cloud infrastructure. You will collaborate with different teams like Control Plane, Data Plane, Core, Security, Support and Operations and guide them to design and implement scalable, secure, highly available and fault-tolerant distributed systems. You will also own the areas of incident management and response, post-mortem analysis including running blameless postmortems, and continuous improvement of our Cloud services. You will be leveraging your software engineering expertise to develop software platforms and tools to optimize the operational and engineering efficiencies of ClickHouse Cloud. This role is a unique opportunity to make a significant impact on our elastic, limitless scale, high-performance ClickHouse Cloud. What will you do? - Collaborate with various engineering teams in ClickHouse to design and implement scalable, secure, and highly available systems for ClickHouse. - Establish and manage service level objectives (SLOs) and service level agreements (SLAs) for ClickHouse Cloud. - Ensure all the infrastructure components in ClickHouse Cloud (including Data Plane, Control Plane,ClickHouse Core, etc) have monitoring and alerting in place to ensure timely detection and resolution of incidents. - Enhance and refine incident response processes and post-mortem analysis for any outages in ClickHouse Cloud including working with the support team to communicate to the impacted customers. - Continuously improve the reliability and performance of our ClickHouse services. - Plan, enable, and drive Chaos initiatives across Engineering teams, based upon internal priorities. - Manage on-call processes to respond to performance and reliability issues, and establish best practices for coordinating escalation to resolve issues and minimize downtime. About you: - Bachelor’s or Master’s degree in Computer Science or a related field. - At least 8 years of experience in Site Reliability Engineering or a related field. - Hands-on experience with Go and/or Python.  - Strong knowledge of cloud computing platforms such as AWS, Azure, or Google Cloud Platform. - Excellent understanding of distributed databases and SQL, particularly ClickHouse is a major plus. - Hands-on experience with container orchestration tools such as Kubernetes or Docker Swarm. - Strong experience with automation and configuration management tools such as Ansible, Terraform, or Puppet. - You are a strong problem solver and have solid production debugging skills. - You are passionate about efficiency, availability, scalability, and data governance. - You thrive in a fast paced environment, and see yourself as a partner with the business with the shared goal of moving the business forward. - You have a high level of responsibility, ownership, and accountability. - Excellent communication and interpersonal skills.   #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 team member who joins our company receives stock options. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: Remote - India Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Senior Network Engineer. About the job This position is needed to help build, operate, and maintain the global corporate network infrastructure, VPN, ZTNA, and connectivity to our cloud-based systems. As part of the Identity and Network Trust team, you will monitor network performance to proactively respond to incidents. You will need to possess the technical knowledge to troubleshoot and perform root cause analysis for escalated connectivity issues. You also will collaborate with the security team and other engineering teams to develop a secured global network infrastructure. Responsibilities Build, operate and support the global Twilio IT network infrastructure. Keep track of network assets, including network hardware and software. Monitor the network performance, availability, utilization, throughput and latency, providing measurable metrics to the IT leadership team. Work closely with stakeholder teams to determine current and future network needs. Prioritize projects and work based on business priorities using the Scale Agile Framework (SAFe). Develop methods and tools to be used to test and implement new LAN/WAN systems. Analyze the current network structure and collaborate on how to make the network more efficient, scalable and sustainable. Formulate strategies to maintain and upgrade network systems efficiently. Respond to incidents, engage in network troubleshooting activities to determine root cause and resolve network issues. Create and maintain documentation for network design, IT network standards and process. Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! *Required: 7+ years of experience with building campus and/or data center network infrastructure, AWS cloud services and networking 5+ years of experience with Cisco LAN/WAN/Wifi and Palo Alto Networks firewalls 3+ years experience with AWS cloud services and networking Advanced knowledge of IEEE 802 standards and core IETF networking protocols including 802.11 suite, TCP/IP, DNS, DHCP, routing and switching protocols Hands on knowledge of network monitoring Knowledge of network security to implement security policy for compliance Proficient skill in WIndows, Mac, Linux client networking Experience in troubleshooting network problems at different OSI model layer University degree in computer science or equivalent experience Excellent written and verbal communication skills Desired: Cisco CCNA/CCNP Certification AWS certification Zscaler Zero Trust Systems experience and/or certifications Scripting language with API automation Experience with infrastructure as code (IaC) using Terraform Knowledge of ITIL framework and its application in a network environment Project management skills Location This role will be Remote and based in India (Karnataka, Tamil Nadu, Telangana, Maharashtra, Delhi) Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, approximately 15% travel is anticipated to help you connect in-person in a meaningful way and perform job duties What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Location: Lisbon, Portugal About the Role iCapital is looking for a Full-Stack Engineer to join the iCapital Identity Platform team. This role will help define and deliver new features for one or more of iCapital's software platforms. You will work closely with Product Management and Design throughout the software development lifecycle—scoping requirements, reviewing work in progress, and addressing issues uncovered during automated and manual testing. The iCapital Identity frontend uses TypeScript , React , GraphQL , and Relay . The backend is built in Elixir/Phoenix , with some Go and Node.js , backed by PostgreSQL . Our infrastructure runs on AWS and is provisioned using Terraform . Responsibilities: Leverage an Elixir + Phoenix backend running on Amazon’s latest serverless technologies to power a TypeScript + React frontend Support existing products and features while helping design and build new ones Design and develop integrations with other iCapital platforms Collaborate regularly with stakeholders and partners to gather requirements, seek feedback, and provide updates Qualifications: 10–15+ years of experience in a related field Strong understanding of modern browser technologies and web fundamentals (HTTP, cookies, CSP, CORS, etc.) Extensive experience developing full-stack web applications Experience in collaborative environments where engineers define project vision, influence technical strategy, and continuously learn Strong relational database fundamentals Excellent written and verbal communication skills Demonstrated proficiency and professional success coding in at least one programming language Experience with Linux and strong command-line skills Preferred/Additional Experience Writing production-ready code in Elixir , Python , TypeScript , JavaScript , Go , or Ruby Optimizing queries in PostgreSQL Developing with React , Vue , Angular , or LiveView Deploying and configuring applications on Amazon Web Services (AWS) Prior experience in a security or penetration-testing role Querying Google BigQuery or other large relational datasets Technical leadership, team lead, or management experience We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office four days, with the flexibility to work remotely one day (Friday). Benefits iCapital offers a comprehensive benefits package that includes a total compensation program consisting of competitive salary, annual performance bonus, and equity for all full-time employees; healthcare with 100% employer-paid health and dental insurance; and generous paid time off (PTO). For additional information on iCapital Network, please visit https://www.icapitalnetwork.com/about-us Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc

Location: Berlin, Germany Workplace: hybrid Berlin • Cybersecurity & AI Startup • Recently Funded A newly funded cybersecurity startup in Berlin is looking for a Backend Engineer(Go) to join as a founding team member and help design the core security, identity, and enforcement foundations of a next-generation AI-powered security risk management platform. We are an early-stage startup founded by experienced cybersecurity leaders with backgrounds in Israeli Intelligence units. We are looking for a hands-on Founding Backend Engineer(Go) for a hybrid role based in central of Berlin. If you are passionate about cybersecurity and AI tech, thrive in fast-paced startup environments, and enjoy building complex platforms from the ground up, this is an opportunity to make a real impact. They’re building a next-generation cyber risk platform that helps enterprises understand, measure, and reduce identity risk at scale. Their goal is to turn complex identity and security data into clear, actionable risk insights that CISOs and CTOs can trust. You will work from scratch on core platform components from day one, shaping how modern enterprises manage and reason about risk using cloud-native systems, AI-driven analysis, and automated enforcement through AI agents. Key Responsibilities Develop and maintain backend applications using Go Design and optimize cloud-based solutions using AWS services (EC2, Lambda, S3, SQS, SNS, etc.) Design, use and manage databases , including PostgreSQL, Neo4J, Redis, and Elasticsearch Develop, manage, and optimize containerized applications using Docker Automate processes using Bash/Python scripting Optimize and maintain RESTful APIs , ensuring security and performance Work closely with frontend engineers, DevOps, and product team to deliver robust applications Monitor, debug, and improve backend performance , reliability, and scalability Implement caching, messaging queues, and event-driven architectures where needed Build whole platform from scratch Must have skills 5+ years of GoLang experience Hands-on coding mentality; can build things from scratch and familiar with different architectures Hands-on experience with Docker, Kubernetes (EKS) and containerized workloads Experience designing RESTful and gRPC APIs and using frameworks like Gin Hands-on experience with messaging systems (e.g., SQS , Kafka ) Experience with CI/CD pipelines (GitHub Actions or similar) Experience operating PostgreSQL (RDS / Aurora), Neo4J(or similar) Experience with AI agents , LLM-based systems, MCP, RAG, Prompts, Embeddings, Vector, etc Experience with AI stack (AWS Bedrock, LangChain, pgvector or similar) Experience with Infrastructure as Code (Terraform) Experience with monitoring, logging, observability (Grafana, OpenTelemetry, Prometheus) Ability to troubleshoot production issues end to end Experience with Coding CoPilots (Claude Code, GitHub Copilot, AWS CodeWhisperer, Codex, etc.) Experience supporting production SaaS platforms Strong understanding of SaaS integrations and app-to-app permission flows High ownership mentality, startup mindset, and ability to move quickly Experience in startup or scale-up environments Low ego, high commitment, and a true tech startup mentality Strong problem-solving skills and ability to work in a collaborative environment Excellent English communication skills Nice-to-have requirements Experience working with Java Ability to code in Python Experience with security architecture, identity security, or security engineering Familiarity with compliance frameworks (NIS2, DORA, ISO 27001, SOC 2) Experience with AWS in production environments Exposure to graph-based modeling (identity graph, access graph, risk graph) Familiarity with compliance frameworks (NIS2, DORA, ISO 27001, SOC 2) Understanding of OAuth/OIDC, API tokens, IdP, scopes, SSO, SCIM, roles, RBAC/ABAC, service accounts Familiarity with cloud identity and security controls (e.g. IAM, CloudTrail, Azure Active Directory / Entra ID ) Hands-on with SIEM platforms such as Splunk, Microsoft Sentinel, or IBM QRadar Experience designing permission models, identity graphs, or access control frameworks Knowledge of tokenization, Zero Trust principles , least privilege, and continuous verification Experience with Security related to AI/LLM systems, agent logic, or willingness to learn fast Familiarity with AI agent behavior , LLM security, or agent sandboxing Previous experience in cybersecurity , identity startups You are a fan of rock or metal music Excellent German communication skills Benefits Founding Team Member Equity — ESOPs in a cybersecurity company Competitive Compensation — salary aligned with market, flexible early-stage arrangements possible Founding Team Member Status — shape the company from day one and own critical technical decisions Fresh Funding Secured — immediate runway to build, hire, and execute fast Security Contribution — contribute to security architecture across identity, AI agents, and enforcement High Autonomy — freedom to design and build without corporate overhead Work with a Technical CEO and CPTO — fast iteration, strong alignment, clear direction Cutting-Edge Domain — identity security, SaaS-to-SaaS access, AI agent governance Massive Learning Curve — quickly gain depth in cybersecurity, identity, and AI systems Fast Career Path — opportunity evolve into leadership as we scale the engineering team Berlin Location — top-tier tech environment with strong cybersecurity and AI ecosystems Direct Impact — your architecture and code become the foundation of the entire platform Best Equipment and Tools - High quality equipment and modern tools to help you do your best work from day one Team Offsites - Regular team offsites designed to build strong connections, alignment, and shared momentum

О ПРОЕКТЕ TrustMe — казахстанский SaaS-стартап, создающий экосистему для ЭДО, AI-автоматизации и цифровых бизнес-процессов. Мы масштабируем продукты в сферах FinTech, LegalTech и Cybersecurity для B2B и государственного сектора. Сейчас мы ищем архитектора, готового внедрять Web3-решения и работать над токенизацией активов (RWA). ВАШИ КЛЮЧЕВЫЕ ЗАДАЧИ — System Design: Проектирование архитектуры компонентов, баз данных и логики блокчейн-цепочек. — Smart Contracts: Разработка на Solidity под EVM с фокусом на безопасность и оптимизацию газа. — Backend & Orchestration: Создание API-шлюзов и распределенных систем на Go, Python или Node.js. — Web3 Infra: Работа с оракулами (Chainlink), индексаторами (The Graph) и децентрализованными хранилищами (IPFS). — AI Integration: Активное использование современных ИИ-инструментов (Cursor, Copilot) для ускорения разработки. ЧТО МЫ ЖДЕМ ОТ ВАС — Expertise: Опыт в FinTech, Neobanking или сложных Enterprise SaaS проектах. — Skills: Понимание принципов биллинга, учета активов и построения отказоустойчивых систем. — Background: Опыт работы в R&D крупных IT-компаний или финтех-стартапах стадий Series A/B. — Mindset: Инициативность, здравый смысл и готовность работать в High-Stakes проектах, где важна точность каждого решения. ПОЧЕМУ СТОИТ ПРИСОЕДИНИТЬСЯ — Собственность: Возможность получить опцион и стать совладельцем компании. — Масштаб: Реальные кейсы внедрения в госсектор и крупный ритейл. — Гибкость: Гибридный формат работы и возможность выбора графика. — Развитие: Поддержка обучения, сертификации и сильная инженерная культура.

Location: Serbia Workplace: remote ABOUT YOU   We are looking for a Senior Software Engineer (React Native) who is architecturally strong, quality-driven, and highly collaborative to join our Mobile Engineering team. The best candidate will be someone who thrives in a fast-paced, highly collaborative, and exceptionally dynamic setting and is excited to lead mobile architecture decisions, build scalable cross-platform applications, and drive shared code strategies across web and mobile ecosystems.   Strong expertise in React Native and JavaScript/TypeScript, along with deep knowledge of mobile architecture patterns and state management, is essential, along with experience in building and delivering commercial mobile applications from concept to launch. The ability to design scalable architectures, implement robust testing strategies (including E2E), optimize performance, and mentor other developers while collaborating across cross-functional teams will be key to your success in this role.   If you're passionate about building high-quality mobile experiences that scale and love creating seamless app ecosystems that power gaming, virtual currency, and digital commerce experiences, we would love to hear from you! ABOUT US   Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.   For more information, visitxsolla.com. Responsibilities Develop and maintain mobile applications using React Native for iOS and Android platforms. Implement best practices for mobile development, including code review, testing strategies, and CI/CD processes. Deliver high-quality features on time throughout the development lifecycle. Build scalable and maintainable features within the existing application architecture. Collaborate with product and design teams to implement technical solutions that meet business goals. Integrate mini-apps and virtual currency systems with the Xsolla App ecosystem. Work with cross-functional teams, including developers, QA engineers, and project managers. Participate in technical discussions to align development work with business objectives. Communicate effectively across distributed teams. Architecture & Design Design and implement scalable application architecture for React Native mobile apps with a focus on maintainability, performance, and developer experience. Lead architectural decisions around shared code strategies between React web and React Native mobile platforms. Establish and enforce coding standards, design patterns, and best practices across the mobile development team. Create technical specifications and architecture documentation for complex features and systems. Build and maintain a robust monorepo infrastructure using tools like Nx, Turborepo, or similar. Configure and optimize build pipelines, dependency management, and workspace configurations. Implement efficient caching strategies and incremental builds to optimize CI/CD performance. Manage versioning, publishing, and dependency relationships between packages. Design and develop a comprehensive shared component library that works seamlessly across React and React Native. Create platform-agnostic business logic, utilities, and services that can be consumed by both web and mobile. Build tooling and documentation to enable other developers to easily leverage shared code. Implement adaptive components with platform-specific implementations where necessary while maintaining a unified API. Establish patterns for sharing type definitions, hooks, contexts, and state management across platforms. Qualifications & Skills: 5+ years of experience in mobile application development with a strong focus on React Native. Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience). Proven track record of delivering commercial mobile applications from concept to launch. Proficiency in React Native and JavaScript/TypeScript, with knowledge of native modules (Swift/Kotlin) as a plus. Strong understanding of mobile architecture patterns and state management. Experience with third-party integrations and APIs. Strong problem-solving abilities and a results-driven approach. Effective communication skills, both written and verbal. Familiarity with gaming ecosystems and virtual currency platforms is a plus. Benefits   We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees through a comprehensive Benefits Program. This includes unlimited Flexible Time Off and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.   The duties and responsibilities of this position may evolve over time to support the organization’s goals and individual growth. This job description is intended to outline the general nature and level of work being performed and is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required.   By submitting your application, you consent to Xsolla conducting background checks, where permitted by law, after the final interview stage. All checks will comply with local regulations, and your information will be handled confidentially.   Xsolla takes your privacy seriously and will not sell or externally distribute any personal data received during the hiring process. In accordance with applicable data protection laws, Xsolla is committed to protecting your personal information and respecting your privacy.   For any inquiries related to data privacy, please contact: careers@xsolla.com    Explore more opportunities at: https://xsolla.com/careers

Location: San Ramon, United States EMPLOYER: Flosum Corporation JOB TITLE: Implementation Engineer POSITION: One (1), Full Time HOURS PER WEEK: 40 WORK SCHEDULE: 9:00 A.M. to 5:00 P.M JOB DESCRIPTION: 1. Implement Flosum’s Products: 1. Deploy and configure Flosum’s solutions within customers Salesforce environments, ensuring seamless integration and optimal functionality. 2. Support Product Adoption: Guide customers through their product adoption journey by delivering training sessions and assessing their DevSecOps processes to ensure alignment with best practices. 3. Lead Training Webinars: Conduct webinars for large audiences, covering product features, new enhancements, and best practices for using Flosum’s tools. 4. Create Technical Documentation: Develop comprehensive product technical documentation, highlighting key features and providing detailed guidance on Flosum’s offerings. 5. Support the Sales Process: Assist in the sales process by conducting product demonstrations, showcasing Flosum’s capabilities to potential customers. 6. Engage Key Stakeholders: Collaborate with key stakeholders to provide consultation on process improvements and recommend enhancements based on customer needs. 7. Product Integrations Collaborate with customers to integrate Flosum’s products with external platforms such as GitHub, GitLab, Bitbucket, and Azure DevOps, ensuring seamless interoperability and enhanced workflow efficiency. 8. Partner Training Train Flosum’s partners to effectively onboard customers and ensure they are proficient in using Flosum’s products, enabling them to drive customer success. Interested applicants please mail/submit your resume directly to the attention of: Flosum Contracts Manager 11040 Bollinger Canyon Rd, Suite E-944 San Ramon, CA 94582 Dates Posted At Job Location: 3/13/26 to 4/12/26 Physical Location Posted: San Ramon Location THIS JOB LISTING IS POSTED IN CONNECTION WITH THE FILING OF A PERMANENT ALIEN LABOR CERTIFICATION APPLICATION AND THAT ANY PERSON MAY PROVIDE DOCUMENTARY EVIDENCE BEARING ON THE APPLICATION TO: Certifying Officer U.S. Department of Labor, Employment and Training Administration, Atlanta National Processing Center Harris Tower, 233 Peachtree Street, NE., Suite 410, Atlanta, GA 30303

О ПРОЕКТЕ Douro Labs — команда, стоящая за развитием Pyth Network, ведущего оракула первого уровня для DeFi. Мы создаем инфраструктуру, которая поставляет высокоточные рыночные данные в реальном времени для крупнейших протоколов. Работа у нас — это участие в Open Source проектах, которые определяют стандарты индустрии. ВАШИ КЛЮЧЕВЫЕ ЗАДАЧИ — Core Development: Разработка и поддержка on-chain и off-chain компонентов экосистемы (смарт-контракты, SDK, утилиты). — Product Impact: Участие в формировании Roadmap продукта совместно с бизнес-командой. — Developer Experience: Создание удобной документации и инструментов для сообщества разработчиков. — Mentorship: Поддержание высоких стандартов кода и обучение младших инженеров. — Operations: Участие в периодических дежурствах (on-call) для обеспечения стабильности сети. ЧТО МЫ ЖДЕМ ОТ ВАС — Опыт: 4+ года в коммерческой разработке ПО. Опыт с safety-critical системами будет преимуществом. — Backend Expertise: Глубокое понимание низкоуровневых языков (Rust, C++). Опыт в блокчейне желателен, но не обязателен при сильном бэкграунде в системном программировании. — Agility: Готовность к быстрому темпу DeFi-стартапа и изучению новых технологий (Solidity, TS, Python). — Communication: Отличные технические коммуникационные навыки для работы в международной команде. ПОЧЕМУ ЭТО КРУТО — Работа над ключевой инфраструктурой мирового рынка данных. — Полная свобода в выборе локации (Remote Worldwide). — Экспертная среда и возможность внести вклад в развитие глобальной DeFi-экосистемы.