Вакансии

Location: United States (Remote) Workplace: Remote About Teleport Don't wait for the future of infrastructure. Be part of it. Teleport is the AI Infrastructure Identity Company. We're solving one of the hardest problems in security: giving every human, machine, workload, and AI agent a cryptographically secured identity, improving engineering velocity while maintaining security. We make trusted computing simple. This gives you the freedom, power, and autonomy to build and innovate with confidence. Remote-first and globally distributed, we work with companies like Nasdaq, DoorDash, and Elastic to secure infrastructure for an AI world. HERE IS WHY WE LOVE THIS JOB OURSELVES, AND HOPE YOU WILL ENJOY IT TOO: - We work on a wide range of IT projects including automation, security, networking, and building integrations. - We value modern IT tooling and novel approaches to traditional problems. - We prefer working autonomously and asynchronously, proactively identifying and addressing issues, and operating with a builder's mindset. - We practice thorough code reviews and have an open design process. - Our products are loved by their users. HERE ARE THE PROJECTS YOU MAY BE WORKING ON: - Administering our core IT stack (Okta, Jamf, Google Workspace, Chrome Enterprise). - Creating new workflows and integrations both within our IT stack and with other systems and platforms across Teleport. - Hardening our macOS endpoints and securing our SaaS services. - Building upon our IT workflow automation tooling written in Go and using Temporal running on Kubernetes. - Collaborating with the engineering team on dogfooding Teleport, specifically Teleport Identity (identity governance), Teleport Policy (access policies), and Beams (runtime for agentic workflows). - Governing and securing corporate generative AI usage. - Providing IT support to internal users as needed. REQUIREMENTS: - Strong knowledge of modern IT platforms such as Okta, Jamf, Google Workspace, Google Chrome Enterprise, Zoom, and Slack. - Hands-on experience administering and hardening macOS endpoints. - Deep understanding of corporate IT identity, automation, and security concepts. - Experience (and a preference for) building with IaC/Terraform and CI/CD with GitOps. - Scripting experience with shell and object-oriented programming experience. - Experience with Go is a plus. - Experience with Linux systems administration and engineering. - Willingness and ability to roll up your sleeves and work on traditional IT tasks when needed, such as managing our internal facing helpdesk. WHAT TO EXPECT ONCE YOU APPLY: - You will join a 30-minute intro call where we will walk you through the compensation, interview process, and requirements. - We’ll invite you to a Slack channel and you’ll work on a coding challenge using Terraform and shell scripts (or Go) on GitHub. Why Teleport You're joining a company where the problem is real, the team is small, and your work shows up directly in the product. We're not a big company, you won't get lost in a crowd. You'll have the freedom and autonomy to do what you're great at, alongside teammates who care about doing it right and want to see you succeed. The work is collaborative, there's real room to grow, and the mission is one worth showing up for. Remote-first and globally distributed, we're genuinely passionate about what we're building. The Benefits At Teleport, we believe your career is more important than a list of perks. That's why we focus on making your day-to-day the best it can be — giving you the autonomy, access, and support to do the best work of your career. - Extensive health coverage - Annual expense budget - Rest and recovery policies that maximize your ability to recharge - Investment in your future with retirement savings plans - Professional development opportunities Teleport is an equal opportunity employer and does not discriminate against any employee or applicant on the basis of age, color, disability, gender, national origin, race, religion, sexual orientation, veteran status, or any classifications protected by federal, state, or local law. Candidate Privacy Notice: For information about our collection and processing of job applicant personal data for this position, please see our Job Applicant Privacy Policy and Notice of Collection at goteleport.com/legal/apply/job-applicant/ http://goteleport.com/legal/apply/job-applicant/

Location: United States Workplace: Remote At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 Machine Learning Engineer, Ranking & Retrieval ClickUp is seeking an experienced Machine Learning Engineer to join our Search team. You'll own the ML systems that power search relevance for millions of users and ground our AI in the right context. Your Impact at ClickUp You'll own the full ML lifecycle for ranking and retrieval, from training through deployment and production serving. Our search indexes large-scale, user-generated content across a multi-tenant platform where permissions-aware retrieval is critical. You'll build the systems that decide what surfaces first. Core Responsibilities - Train, deploy, and serve ranking models in production, owning the full ML lifecycle - Build ranker features, training pipelines, and offline evaluation frameworks - Design and scale hybrid retrieval combining lexical and vector search (including HNSW with disk offloading) - Run embedding inference at billions-of-documents scale - Improve query understanding through intent modeling and query expansion - Build permissions-aware retrieval that respects multi-tenant boundaries - Create measurement frameworks to evaluate and improve search quality - Collaborate with Search Infrastructure, AI, and backend teams to integrate ranking improvements across the platform Technical Requirements - Bachelor's degree in Computer Science, Machine Learning, or related field - 5+ years of ML engineering experience focused on ranking, retrieval, or information retrieval - Proven full ML lifecycle ownership: training, deploying, and serving models in production - Hands-on ranker model training: feature engineering, pipelines, offline evaluation - Experience building hybrid (lexical + vector) retrieval systems - Experience running embedding inference at large scale - Strong query understanding fundamentals: intent modeling, query expansion Preferred Qualifications - Permission-aware retrieval and multi-tenancy experience - Indexing large-scale user-generated content (not small or static datasets) - Hands-on experience with OpenSearch or Elasticsearch - Sharding, index management, and real-time ingestion at scale - Background in NLP, semantic search, or agentic retrieval - Experience with TypeScript in backend systems   Join Our Mission At ClickUp, we're committed to building the future of productivity software. As our Search Engineer, you'll play a crucial role in shaping the core functionality of our platform and driving our AI initiatives forward. Join us in our mission to make the world more productive! #LI-REMOTE Equal Opportunity Employer ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. Privacy Notice ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. https://clickup.com/careers-terms/candidate-privacy-notice If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details. Visa Sponsorship Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions. Fraud Alert ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com. AI Processing Notice ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.

Location: Boston, Massachusetts, United States We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. Job Overview The Senior Network Engineer leads Wizards of the Coast's enterprise network — datacenters, corporate offices, studios, and AWS cloud. Our stack runs on a Juniper/Mist campus fabric, a Palo Alto Networks security edge, and cloud-native AWS connectivity. You'll set technical direction, drive complex initiatives end to end, and mentor the broader team. Your work keeps the network that connects our datacenters, offices, studios, and cloud environments secure, reliable, and ready to support the teams creating our games. Location and Work Arrangement This role is based at our Boston, Massachusetts office and follows a hybrid schedule designed to support in-person collaboration. Employees are expected to work onsite on Tuesdays, Wednesdays, and Thursdays, with the flexibility to work remotely or onsite on Mondays and Fridays. What You'll Do Own the architecture, build, and roadmap for our Juniper/Mist campus and branch infrastructure, and lead its evolution across sites and business units. Lead the Palo Alto Networks security stack, from policy architecture to secure-by-design standards across teams. Own end-to-end AWS cloud network implementation — Virtual Private Cloud (VPC), Transit Gateway, Direct Connect/VPN, Route 53 — and hybrid connectivity, including Border Gateway Protocol (BGP), Open Shortest Path First (OSPF), and Software-Defined Wide Area Network (SD-WAN) traffic engineering at scale. Drive automation and AI adoption across network operations, from config deployment to AI-powered monitoring, observability, and root-cause analysis. Be the go-to for critical issues, and mentor less-experienced engineers through code review, troubleshooting, and skill-building. What You'll Bring At least 10 years of experience in enterprise network engineering — routing, switching, wireless — or equivalent demonstrated experience, with deep expertise in Juniper (EX/QFX/SRX, Mist) and/or Cisco (Catalyst, Nexus), plus hands-on work with intelligent ops tools like Mist/Marvis at scale. Expert-level Border Gateway Protocol (BGP), Open Shortest Path First (OSPF), Software-Defined Wide Area Network (SD-WAN), and load balancing experience, including designing and building these solutions from the ground up. Extensive Palo Alto Networks firewall experience, including policy architecture and Panorama at enterprise scale. Proven AWS production experience — Virtual Private Cloud (VPC), Transit Gateway, Direct Connect/VPN, Route 53, security groups, CloudWatch, DNS, Dynamic Host Configuration Protocol (DHCP), IP Address Management (IPAM) — with the judgment to make platform decisions independently. Hands-on use of AI tools like Mist/Marvis and coding assistants (Claude, Copilot) to power automation and network ops, plus a track record of leading cross-functional work and mentoring engineers. What Sets You Apart Active advanced certifications: Cisco Certified Internetwork Expert (CCIE), Juniper Networks Certified Internet Expert (JNCIE), AWS Advanced Networking Specialty, or AWS Solutions Architect Professional. Prisma Access / Secure Access Service Edge (SASE) deployment leadership, or Palo Alto Cloud Identity Engine (CIE) build ownership. Terraform or Ansible pipelines you've built and owned in production — not just maintained. Experience in a multi-studio, multi-business-unit (BU) entertainment or gaming environment, or another complex, highly distributed org. Who We Are We’re a team of creators, storytellers, and innovators united under the Hasbro family and home to beloved brands, AAA digital games studios and immersive experiences that spark imagination across generations. Together, we’re committed to a culture rooted in creativity, excellence, curiosity, and inclusion, and where every employee is empowered to think boldly, act with integrity, and spark joy for all. Hasbro About the Company – Hasbro Wizards of the Coast Who We Are – Wizards of the Coast Equal Opportunity Hasbro is committed to equality of opportunity in all aspects of employment. We are committed to making all employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, or any other legally protected status. Accommodations If you have a disability and need reasonable accommodation during the hiring process, please inform your recruiter anytime throughout the process. Notice Regarding Hasbro’s use of AI in the Recruitment Process We use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements. How it works: Talent Matching compares information from your resume and application responses with job-related criteria established and weighted by Hasbro’s recruiting and hiring teams. Depending on the role, these criteria may include relevant skills, work experience, prior job titles, and industry experience. The tool then assigns a match category to help organize applications for review. Human oversight: Talent Matching supports — but does not replace — human review. It does not automatically advance or reject candidates or make employment decisions. Hasbro’s recruiters and hiring managers review applications and remain responsible for all hiring decisions. Greenhouse has published the results of an independent bias audit of Talent Matching. View the Greenhouse Talent Matching audit results . The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package. Pay Range $119,600 — $179,500 USD Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include: Health & Wellness Time Off to Recharge Financial Well-being Life & Family Support Volunteer and Community Initiatives Learning & Development Exclusive Perks Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process.

Location: Remote GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role Site Reliability Engineers keep GitLab's user-facing services and production systems running reliably at scale. They combine software engineering with operational excellence, applying sound engineering principles, automation, and continuous improvement to build, operate, and evolve our production infrastructure. This is a single application for Site Reliability Engineering opportunities across Infrastructure Platforms. Rather than asking you to choose the right team or level upfront, we evaluate your skills holistically and match you to the opportunity that best aligns with your experience and our hiring needs. We hire Site Reliability Engineers from Intermediate through Senior Staff across multiple Infrastructure Platforms teams. We don't expect every candidate to have experience with every technology in our environment. We're looking for engineers with strong technical fundamentals, a growth mindset, and the ability to learn quickly. We'll support you in becoming successful with GitLab's tools, systems, and ways of working. Please note: This position is open to candidates based in the United Kingdom only. Candidates based in the United States or Canada can apply to this posting: Site Reliability Engineer, Infrastructure Platforms — AMER (Intermediate to Senior Staff) How our SRE hiring works Because this is a single application for SRE roles across Infrastructure Platforms, our process is built to evaluate you once and match you well, rather than interviewing separately for every team. Recruiter Screen: A conversation about your background, what you're looking for, and the level and teams that fit, so we can point your process in the right direction. Core Technical: The shared assessment every SRE candidate takes, regardless of eventual team. A low-stress, collaborative discussion covering system architecture and incident review. Hiring Manager Interview: A conversation about ownership, judgment, execution, collaboration, and growth, the non-technical signals that make an SRE effective at GitLab. Peer Technical: Team-specific depth, run by SREs from the team you're most likely to join, focused on the problems that team actually works on. Skip-Level Interview: A conversation with a senior leader on values alignment, and how you'll work across teams. After your interviews, we consider your performance alongside our current hiring needs to confirm the level and team where you'll do your best work. Interview results are a major factor, and final placement also reflects our active hiring priorities at the time. We’ll calibrate your level throughout the interview process based on the scope and impact of your experience. Intermediate: You independently deliver meaningful reliability improvements within a defined area. Senior: You own complex reliability work end to end and raise the effectiveness of your team. Staff: You shape reliability across multiple teams, solving systemic problems and creating approaches others can reuse. Senior Staff: You set technical direction across a broader Infrastructure area and influence reliability strategy at organizational scale. What you'll do Keep user-facing services and production systems reliable, scalable, and efficient Build automation and tooling that reduces toil and replaces manual work with repeatable, infrastructure-as-code-driven workflows Operate and troubleshoot production systems on Kubernetes, including deployments, rollouts, and scaling Write and maintain infrastructure as code, and ship changes safely through CI/CD and GitOps Participate in on-call, triage alerts, follow and improve runbooks, and escalate appropriately Contribute to the observability stack, using metrics, logs, and SLOs to detect symptoms early rather than just outages Take part in incident response and post-incident reviews, turning learnings into changes in automation and process Document runbooks, architecture decisions, and reviews so your findings become repeatable practices Take part in on-call or operational support where your team’s ownership model requires it. What you'll bring Experience keeping production systems reliable, combining an operations mindset with real software engineering practice Experience building net-new infrastructure tooling and automation, not just configuring existing tools. For example, Terraform modules, Kubernetes operators or controllers, or production automation and services written from scratch The ability to read, debug, and reason about code. Most of our teams work in Go; some work in Ruby. You can discuss a piece of code's behavior, performance, and failure modes Experience with infrastructure as code, and with Kubernetes and its ecosystem, at a depth appropriate to your level Hands-on experience with at least one major cloud provider (GCP or AWS) Familiarity with observability practices, including metrics, logging, alerting, and SLOs or SLIs, and using data to inform operational decisions Comfort participating in on-call and incident response, with a structured approach to troubleshooting under pressure Strong written communication and the ability to operate as a manager-of-one in an async, distributed environment A track record of using automation, and increasingly AI, to reduce toil and improve how you and your team work Alignment with GitLab's values and a commitment to working in accordance with them About the team Infrastructure Platforms is responsible for the availability, reliability, performance, and scalability of GitLab’s user-facing services, most notably GitLab.com . The organization spans teams across Production Engineering , GitLab Dedicated , GitLab Delivery , and Developer Experience , covering everything from the production fleet and networking platform to observability, incident response, deployment infrastructure, tenant scale, and our single-tenant Dedicated offering. We are a globally distributed, remote-first organization that works asynchronously, favors automation over toil, and uses monitoring, metrics, and clear ownership to continuously improve the reliability of GitLab at scale. For more on how we work, see the Infrastructure Handbook Page . How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: NAMER and LatAm About the Team IT Operations at ClickHouse keeps the company's internal systems, tooling, and infrastructure running securely and efficiently — from identity and endpoint management to the platforms every team relies on to do their work. This role sits on a newly formed AI Engineering function within IT Operations, created to centralize AI Ops rather than leave it disjointed across teams. The team — a Technical Lead plus one or two AI Ops Engineers — reporting to the IT Business Systems Manager, and brings the same rigor IT Ops applies to systems and infrastructure to the design, deployment, and lifecycle management of AI solutions and the agents they power. About the Role We are looking for an AI Ops Engineer to help build and run a new AI Ops function at ClickHouse. You will work under a Technical Lead to design, build, and maintain AI-driven solutions across the business (People, Finance, Legal, and beyond) and engineering — building integrations, maintaining agents, supporting cost visibility, and helping train the org on AI best practices. This is a hands-on execution role: you will move quickly, ship real workflows, and help the team learn what works as we centralize AI Ops for the first time. Success This is a net-new function; specific goals will be set with your Technical Lead. Directionally, the team is measured on: - Measurable reduction in redundant or inefficient AI tool and model spend through right-sizing, routing, and cost visibility - A working framework for evaluating and selecting models/tools by cost, latency, accuracy, and risk, adopted across teams - Agents and AI workflows built, deployed, and maintained cross-functionally (People, Finance, Legal, Engineering, and beyond) - Improved AI fluency and literacy org-wide, measured through training participation, adoption of approved tools, and reduced shadow-AI usage - Established identity, access, audit, and lifecycle practices for AI agents that satisfy Security and GRC requirements YOU WILL Build AI-Powered Solutions - Develop and deploy solutions using LLMs, automation frameworks, and internal tooling, for both business and engineering use cases - Integrate AI into existing systems (HRIS, ATS, ERP, procurement orchestration, ticketing, CI/CD, developer tooling) and legal infrastructure like CLM or Matter Management - Build workflows such as document generation, data extraction, knowledge retrieval, and decision support across systems and knowledge bases - Use modern integration standards (e.g., MCP) to give AI models and agents direct, secure access to internal knowledge and context Support Model Evaluation - Help test and benchmark AI models against accuracy, latency, cost, and safety criteria - Support model risk assessments and due diligence alongside Security and GRC - Help implement and maintain the internal model routing solution Support Cost Visibility - Help build dashboards and reporting for AI/LLM spend across teams and tools - Implement tagging, monitoring, and alerting for cost anomalies - Identify and execute on cost-optimization opportunities (prompt efficiency, caching, model right-sizing) Maintain Agent Infrastructure - Help provision, credential, and de-provision AI agent access - Support deployment, versioning, monitoring, and retirement of agents - Maintain and patch agent infrastructure and dependencies - Help maintain audit trails and logging for agent actions Deliver Training and Enablement - Design and deliver company-wide AI training programs tailored to different audiences — non-technical business users through engineers - Create lightweight playbooks, guides, templates, and reusable components for safe, effective AI adoption - Run onboarding sessions, office hours, and workshops to build AI fluency and drive adoption of approved tools and agents - Establish a feedback loop with users to continuously improve training content, tooling, and documentation YOU BRING You are not expected to have every skill below — tell us which are your strongest. - Experience building with modern AI/ML tools and frameworks - Experience building and consuming APIs, developing data pipelines, and architecting system integrations - Working knowledge of cloud infrastructure (AWS, GCP, or Azure) and experience hosting or operating services in production - Experience comparing and evaluating AI models across providers, including trade-offs between cost, latency, and quality - Comfort working with usage and billing data to build cost visibility, forecasting, or optimization - Ability to understand both business and engineering workflows and translate them into technical solutions - Experience working with or integrating business systems as well as engineering/developer tooling - Experience creating training materials, documentation, or workshops for mixed technical/non-technical audiences - Understanding of data privacy, security, and compliance considerations - Experience implementing safeguards in AI systems, including identity and access controls for automated/non-human actors 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: Costa Mesa, United States; United States What You'Ll Do Full Cycle PCB Design: Translate system-level propulsion requirements into robust designs. Perform schematic capture and high-density PCB layouts (with a strong preference for Altium), component selection, bring-up, test, debug, and integration with the propulsion system. Engine System Electronics: Design and optimize flight controller circuits, power distribution/supplies, motor controller circuits, and electromagnetic actuator circuits. Rigorous Analysis: Conduct circuit simulations, worst-case analysis (WCA), thermal analysis, DFMEA, and component derating to ensure reliability under extreme vibration and temperature environments. Comprehensive Testing: Lead board bring-ups, Design Verification Testing (DVT), qualification (Qual) testing, and functional testing. Collaborative Design: Provide electrical support and collaborate closely with mechanical, thermal, software, test, quality, manufacturing, and systems engineering teams for development. Peer Reviews: Conduct peer-level and cross-discipline design reviews. Root Cause Analysis: Perform root cause and failure analysis in support of engine test and field operations. Required Qualifications Education & Experience: Bachelor’s Degree in Electrical Engineering (BSEE) with 5+ years of experience designing, testing, and troubleshooting complex board designs. Technical Fundamentals: Solid engineering fundamentals across Analog, Digital, and Power Electronics. Software & Tools: Deep proficiency with electronic design tools, specifically Altium Designer (or equivalent for schematic and layout) and LTSpice (or equivalent for circuit simulation). Laboratory Equipment: Competence with laboratory test equipment such as oscilloscopes, logic analyzers, thermal chambers, spectrum analyzers, function generators, DMMs, electronic loads, power supplies, and test automation. Interfaces & Protocols: Familiarity with standard interfaces (CAN, I2C, SPI, Ethernet) and common MCU/CPU architectures. Security Clearance: Eligible to obtain and maintain an active U.S. Secret security clearance. Preferred Qualifications Education: Master’s Degree in Electrical Engineering (MSEE). Advanced Tools: Experience with MATLAB / Simulink for data analysis, control loop modeling, or system simulations.

Location: Barcelona Workplace: Hybrid Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. Checkout.com http://Checkout.com is one of the most exciting fintechs in the world. Our mission is to enable businesses and their communities to thrive in the digital economy. We’re the strategic payments partner for some of the best known fast-moving brands globally such as Wise, Hut Group, Sony Electronics, Homebase, Henkel, Klarna and many others. Purpose-built with performance and scalability in mind, our flexible cloud-based payments platform helps global enterprises launch new products and create experiences customers love. And it's not just what we build that makes us different. It's how. We empower passionate problem-solvers to collaborate, innovate and do their best work. That’s why we’re on the Forbes Cloud 100 list and a Great Place to Work accredited company. And we’re just getting started. We’re building diverse and inclusive teams around the world — because that’s how we create even better experiences for our merchants and our partners. And we need your help. Join us to build the digital economy of tomorrow. How you'll make an impact - Provide technical support to merchants during their implementation of Checkout.com http://Checkout.com payment processing technology - Answer all merchants’ integration related questions, including but not limited to configuration, debugging, documentation, testing, go-live support, and post-live support - Manage incidents as related to the integration (investigation, troubleshooting, escalation, resolution, reporting, time tracking and analysis of incidents) - Collaborate and partner with internal teams such as Merchant Configuration, Sales, Account Managers, and Merchant Care, to resolve issues during customer trials, integrations, or post-implementation support - Interact with the Product teams to pinpoint improvement ideas - Advise Manager on issues which impact customer satisfaction and provide recommendations for appropriate actions - Ability to multitask with multiple projects and integrations of customers - Maintain/update existing libraries/plugins used in integrations QUALIFICATIONS - Technical support experience in a Tech/FinTech company - Have payments experience would be advantageous - Understanding of API, REST, webhooks and logs is required - Strong coding skills in at least one of these languages: Java, Javascripts, PHP, Python, Go, C# - Experience with Node.js, React is a plus - Knowledge in iOS/Android is a plus - Excellent communication skills, ability to build and maintain strong relationships - Ability to work in a customer-focused and target-driven environment - Fluency in Spanish and English. Any other languages are a plus Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/

Location: Europe We are toogeza, a Ukrainian recruiting company focused on hiring talent and building teams for tech startups worldwide. People make a difference in the big game, and we may help find the right ones. Currently, we are looking for a Machine Learning Engineer — Physics AI for Zibra AI. Zibra AI is a deep-tech company building advanced technologies for working with large-scale 3D data. The team has a strong background in computer graphics and data compression and is now expanding its technology into industrial simulation and Physics AI. The company is developing a new data infrastructure layer that makes massive scientific and simulation datasets significantly easier to store, transfer, visualize, and use for AI training. You will work at the intersection of Physics AI, scientific computing, ML systems, and data compression. A major part of the role is to benchmark our codec across different model architectures, study how compression affects accuracy and training efficiency, and explore new approaches to training directly in compressed representations. WHAT YOU WILL DO - Benchmark our compression technology across a wide range of Physics AI architectures and datasets. - Run large-scale experiments for CFD, turbulence, weather, engineering, and other scientific ML workloads. - Measure the impact of compression on: - model convergence and final accuracy; - training throughput; - GPU utilization; - CPU and data-loading overhead; - storage and network requirements. - Compare compressed-data training against conventional pipelines and alternative compression methods. - Research training directly in compressed or partially decoded representations. - Explore compression-aware sampling, augmentation, tokenization, and model architectures. - Design rigorous, reproducible benchmark methodology. - Integrate compressed datasets into PyTorch and distributed training workflows. - Turn experimental results into product recommendations and research directions. - Write technical reports, benchmark publications, blog posts, and academic papers. - Collaborate with external research groups and industrial partners on joint evaluations. WHAT WE ARE LOOKING FOR - Hands-on experience with Physics AI / scientific machine learning is required. - Experience training models on simulation or physical-science datasets. - Strong practical experience with PyTorch and modern deep-learning workflows. - Familiarity with architectures such as: - neural operators; - mesh GNNs; - transformers for physical systems; - surrogate models; - foundation models for science; - PINNs or related methods. - Experience with large 3D/4D datasets such as volumetric grids, meshes, point clouds, or spatiotemporal fields. - Good understanding of GPU training performance, data loaders, profiling, and distributed training. - Strong experimental methodology and ability to design controlled benchmarks. - Ability to analyze how numerical approximation and preprocessing affect model quality. - Strong Python and scientific-computing skills. - Ability to communicate research results clearly in written technical form. NICE TO HAVE - Experience with PhysicsNeMo or similar scientific ML frameworks. - Background in CFD, FEA, climate, turbulence, combustion, or computational physics. - Knowledge of lossy compression, quantization, numerical error analysis, or signal processing. - Multi-GPU or multi-node training experience. - Previous academic publications in ML, scientific computing, compression, or related fields. If this role sounds like a fit — we’d love to hear from you! Just send over your CV and anything else you’d like us to consider. We’ll review everything within five working days, and if your background matches what we’re looking for, we’ll get in touch to set up a call and get to know each other better.

Location: Almaty, Kazakhstan Workplace: OnSite WHY WORK AT HIGGSFIELD AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like. About the Role We’re looking for a new-generation AI builder — someone between a software engineer, prompt engineer, automation hacker, and product innovator. This is not a traditional SWE role. You’ll work on AI-native products, internal agents, automations, and experimental workflows powered by the latest frontier models, open-source tooling, MCP ecosystems, and multimodal systems. You should be the kind of person who constantly explores what’s happening in AI: - new agent frameworks - open-source tooling - AI video & creative workflows - MCP servers - coding agents - automation stacks - multimodal systems - new product patterns emerging every week You don’t just follow trends — you prototype them. WHO WE’RE LOOKING FOR You might be a fit if you: - Are a hustler who ships fast and experiments constantly - Have strong intuition for building new AI-native products and workflows - Stay deeply plugged into the AI ecosystem and emerging tooling - Understand how modern AI agents actually work under the hood - Can automate things quickly and creatively - Think in systems and workflows, not just prompts - Have strong product taste and curiosity - Thrive in fast-moving, ambiguous environments - Learn new tools obsessively fast MUST-HAVE SKILLS - Experience with JavaScript or Python (ideally both) - Comfortable building prototypes, automations, and internal tools - Understanding of: - LLMs - tokens/context windows - APIs & CLI tooling - MCP ecosystems - agent frameworks - tool use & orchestration - RAG / retrieval concepts - Experience using modern AI coding workflows and AI-native tooling - Ability to quickly turn ideas into working demos or systems BIG PLUS - Experience with ML or training/inference infrastructure - Experience with multimodal or video-generation tooling - Familiarity with open-source AI ecosystems - Experience building agentic systems or autonomous workflows - Strong vibe-coding energy WHAT YOU’LL WORK ON - Build AI-native internal and external products - Prototype new agentic workflows and automation systems - Explore frontier AI tooling and identify new product opportunities - Experiment with multimodal generation systems - Build automations across engineering, creative, and operational workflows - Work closely with product, infra, and research teams - Help the company stay ahead of where the AI market is going THE DEAL - Top-of-market compensation in USD. - Small team, high autonomy, and outsized impact. - On-site role in our Almaty office (we will relocate you from anywhere).

Задачи: • Владение архитектурой и поставкой сервисов прогнозирования, ранжирования и рекомендаций. • Проектирование воспроизводимых рабочих процессов обучения, оценки, мониторинга и переобучения. • Перевод целей продукта в измеримые задачи машинного обучения, эксперименты и релизы. Требования: • Более 5 лет профессионального опыта в разработке программного обеспечения или машинного обучения с производственными системами. • Продвинутые знания Python и SQL; сильные навыки в статистике, экспериментах и оценке моделей. • Опыт работы с оркестрацией, контейнерами, облачной инфраструктурой, наблюдаемостью и CI/CD. • Умение отлаживать ошибки данных и моделей. • Опыт в прогнозировании, ранжировании, рекомендациях, оптимизации или другой прикладной области машинного обучения. • Владение английским языком для технической документации и межфункционального взаимодействия.

Samsara is the pioneer of the Connected Operations™ Cloud, a platform that enables organizations that depend on physical operations to harness IoT data to improve safety, efficiency, and sustainability. Key requirements: — proficiency in Go, Python, and JavaScript — bonus: experience with C/C++ (firmware/embedded systems)

Требования: — владение Go, Python и JavaScript — опыт с C/C++ (прошивка/встроенные системы) будет плюсом

Требования: — владение Go, Python и JavaScript — опыт с C/C++ (прошивка/встроенные системы) будет плюсом

Location: Riga, Latvia Workplace: hybrid About the Client Our client is a prominent Electronic Money Institution (EMI) dedicated to providing online payment processing solutions. They offer a comprehensive suite of services, including payment gateway services, global payment processing, merchant accounts, open banking, recurring payments, and mass payments. Catering to online businesses across a variety of sectors, they support multiple currencies and payment methods, enabling efficient global transactions. Role Overview Join an international team as a Merchant Integration Engineer , where you will be at the forefront of ensuring seamless integrations between merchants and payment systems. This role offers the chance to work with cutting-edge APIs, diagnose complex issues, and directly influence the success of merchant integrations. The hybrid work environment based in Riga allows for a balance of remote and in-office collaboration. Key Responsibilities Support and maintain integrations between merchants and payment systems. Diagnose integration issues by analysing logs and tracing API requests and responses. Reproduce bugs and prepare clear technical escalations for developers, including what was sent, what was received, and where the behaviour differs from the specification or expected result. Test integrations against technical specifications before go-live. Perform sandbox testing and verification after system or integration changes. Work with server-to-server REST API integrations. Troubleshoot asynchronous payment flows involving webhooks, callbacks, and status polling. Configure and troubleshoot payment plugins and modules for CMS platforms such as WooCommerce and OpenCart. Communicate directly with technical teams in English and/or Russian. Maintain integration documentation, onboarding checklists, FAQs, and common troubleshooting scenarios. Follow information-security requirements when working with payment and sensitive data, including proper handling of masked data, credentials, test accounts, tickets, screenshots, chats, and external services. Requirements Experience in Integration Engineering, API QA, or a similar technical role. Strong hands-on knowledge of REST APIs, HTTP, JSON, and Postman. Ability to read technical documentation and existing code, troubleshoot integrations, and clearly communicate technical issues. Working knowledge of PHP/Laravel, JavaScript, SQL, and MySQL/MariaDB. Familiarity with Git, Swagger/OpenAPI, Browser DevTools, Kibana/Grafana, and Jira. Good understanding of information security and handling sensitive data. English B1+. Experience with payments/acquiring (3DS, webhooks, transaction statuses, payment response codes), WooCommerce/OpenCart integrations, PCI DSS, or technical customer support would be a nice to have. Languages: English, Russian. Experience in fintech. Key Soft Skills Strong problem-solving mindset - able to investigate technical issues systematically and identify root causes. Clear communication - able to explain technical issues clearly and collaborate effectively with merchants and engineering teams. Attention to detail & ownership - careful with technical specifications, testing, and sensitive payment data, and takes responsibility for issues through resolution. What We Offer Competitive salary aligned with experience Collaborative and transparent team culture High-impact role in a scaling fintech company Recognition of personal milestones and achievements Social benefits

Ipotekabank — банк в Узбекистане, входящий в международную финансовую OTP Group, специализирующийся на ипотечном и розничном кредитовании. Вакансии: - Senior Software Engineer (AI) - Senior/Middle Data Engineer Офис в Ташкенте.

Samsara is the pioneer of the Connected Operations™ Cloud, a platform that enables organizations that depend on physical operations to harness IoT data to improve safety, efficiency, and sustainability. Key requirements: — proficiency in Go, Python, and JavaScript — bonus: experience with C/C++ (firmware/embedded systems)

Ipotekabank — банк в Узбекистане, входящий в международную финансовую OTP Group, специализирующийся на ипотечном и розничном кредитовании. Вакансии: - Principal QA Engineer (AI Engineering) - Senior QA Engineer - Senior QA специалист Офис в Ташкенте.