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Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic’s Product Engineering org is looking for experienced engineers with strong full-stack fundamentals to join one of teams owning our current or emergent products. You'll be a technical leader who thinks holistically about the consumer and/or enterprise end user experience - be that via Claude.ai , the Anthropic API, enterprise deployments, Claude Code, or mission-driven applications - and carry real end-to-end ownership. You'll partner with engineering managers, product leaders, designers, and researchers to understand new model capabilities and redefine what is possible for users in the world of LLMs - and how to build it. We’ll look to you to have a product-oriented mindset and input, own technical quality across the stack (performance, accessibility, reliability, and developer experience), scale your efforts to millions of users on a global scale, and carry genuine excitement about what AI makes possible. We have multiple teams that are currently hiring. Team placement occurs after the interview process, taking into account your interests and experience alongside organizational needs. This flexible approach allows us to match talented engineers with the backend product efforts where they'll have the greatest impact and growth potential. What you'll do: Platform Ecosystem: The Ecosystem team is empowering the next big industries beyond coding to build on our platform & creating the right commercial rails to let any business in our ecosystem profit from building on Claude. As an early member of this foundational effort, you'd identify and build for the next 10x markets starting with Life Sciences and Healthcare. We also build the commercial rails and controls that let the platform do business anywhere, with anyone, and turn Claude from a cost line into a revenue line. Beneficial Deployments: Beneficial Deployments Engineering brings Claude to organizations doing the most good with the fewest resources — nonprofits, schools, healthcare providers, researchers, and economic mobility programs.We're looking for a full-stack engineer to build the access programs, tooling, and product work that make frontier AI usable for teams that couldn't afford this capacity any other way. Vertical AI Products: Purpose-built experiences for specific industries where Claude can transform complex professional work. We're currently building for three verticals, with more to come: Life Sciences — an agentic research platform for scientists: specialist agents for computational biology, literature review, and regulatory review, built on model capabilities we're investing in for biology and chemistry. Live with early customers and expanding fast. Enterprise AI Products: You'll work on the products that make Claude a daily-use tool for enterprise customers across industries – the connective tissue that lets Claude operate effectively across workflows. On this team you will systematically understand why Enterprise users aren't activating, what's blocking adoption, and building the capabilities to close those gaps.Some of our focuses are: Extensibility — plugins, skills, connectors, and the MCP ecosystem that lets a company shape Claude around their specific workflows and distribute that work across teams. Context — enterprise knowledge, organizational memory, and the retrieval layer that makes Claude genuinely aware of a company's people, documents, and workflows. A connected, contextual Claude is the difference between a general-purpose chatbot and a real coworker. Proactivity — Cowork suggestions, workflow capture, ambient Claude inside the apps people already use. Moving from "Claude answers when asked" to "Claude notices what you need". Public Sector: Build products that deliver Claude to the U.S. federal & state governments and allied democracies — from FedRAMP environments to classified networks. We're a startup-minded team with huge surface area: we own Claude for Government, ship zero-to-one products into the most regulated environments in the world, and work directly with the agencies using them Enterprise Foundations: You'll build the systems large organizations require before they can adopt Claude at scale: identity and permissions, security and compliance controls, and the admin analytics that let them see how it's being used. This is the work that turns "we love the demo" into a signed enterprise deal.The role is part product, part platform. You'll work closely with Product and GTM to understand what our largest customers need, then build it once in a way that works across Claude.ai, Claude Code, and Cowork. Growth: Drive user acquisition, engagement, retention, and monetization through data-driven strategies and technical implementations. At Anthropic, we're not just building AI tools; we're reimagining how AI can enhance and expand its user base! As a member of the growth team, you will have a unique opportunity to shape our growth strategy. You will work with a cross-functional team of engineers, data scientists, marketers, and product managers to design, implement, and optimize growth initiatives that scale our AI-powered tools and maximize their impact. You might be a good fit if you: Have a minimum of 8 years of practical full-stack engineering experience, ideally with 2+ years operating at a Staff or equivalent technical leadership level Have led the design and delivery of complex, consumer or B2B user-facing products across the full stack Are a technical expert in modern frontend and backend development, with demonstrated depth in key languages and frameworks (ie. React, Typescript) Take a product-focused approach to building solutions that are robust, scalable, and easy to use Have worked in early start-up or otherwise fast moving, rapidly evolving environments, and have ideally built products from 0 to 1 Care deeply in investing in the mentorship and growth of your peers Have successfully driven cross-team/cross-org organizational alignment to get impactful work shipped, and work with influence over authority Have experience establishing engineering standards, component architectures, and development best practices Thrive in fast-paced environments and can navigate ambiguity to deliver high-quality products Deadline to apply: None. Applications will be reviewed on a rolling basis. Location Preference: Preference will be given to candidates based in NY, NJ, SEA, SF or the Bay Area given the current location of team. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: We are looking for experienced software engineers to join our Platform organization. We build the foundational primitives that accelerate product development across Anthropic, and own infrastructure and systems that teams depend on to ship reliably and at scale - either internally or by hundreds of thousands of external global users and companies at all stages. You'll independently scope complex, multi-month projects, drive cross-org alignment through ambiguous problem spaces, and make architectural decisions that shape how Anthropic builds and scales its products. You'll partner directly with research to productize cutting-edge capabilities, and will have lasting impact on the platform that hundreds of thousands of companies and internal/external engineers depend on every day. We have multiple teams that are currently hiring. Team placement occurs after the interview process, taking into account your interests and experience alongside organizational needs. This flexible approach allows us to match talented engineers with the backend product efforts where they'll have the greatest impact and growth potential. What you'll do: Service Infra: we build and maintain the core infrastructure that powers Anthropic's engineering organization, from service mesh and observability systems to deployment pipelines and shared libraries. Our work enables product teams to build and operate reliable services at scale, making us a critical force multiplier across the entire company. Platform Portability: We build and maintain the infrastructure that enables Anthropic to operate across multiple cloud providers. We focus on cloud-agnostic tooling, cross-cloud networking, and multi-region deployments. Platform Intelligence: You'll build and scale the foundation of the Claude API—the systems that deliver Claude's intelligence to every developer, from startups to enterprise. You'll own the performance, reliability, and efficiency of our core serving path, ensuring users get the most speed and value from our models. You'll partner closely with inference and safeguards to optimize the full stack. Billing Platform: Anthropic exists to ensure the world safely navigates the transition through transformative AI. That work is funded by commercial revenue — and every dollar of it runs through Billing Platform. We build and operate the infrastructure that turns product usage into revenue across everything Anthropic ships: Claude.ai , the Developer Platform, Claude Code, and whatever comes next. The faster we can price it and account for it correctly, the faster Anthropic can fund the mission. Depending on where you land, you might be building the integration contracts product teams plug into so they can launch a paid SKU without becoming billing experts, automating the quote-to-cash lifecycle so enterprise deals don’t bottleneck on manual ops, or building the reconciliation and data foundations that keep every revenue number trustworthy at audit time. This is production-critical infrastructure where correctness is non-negotiable — a rounding error here is a revenue discrepancy somewhere else — and you’ll work closely with Finance, Product, Sales, and Accounting to build systems that scale with the business. Platform Serving: You'll focus on transforming Claude into a true knowledge worker by ensuring the model has access to and understanding of the right knowledge at the right time. You'll work on making it possible for developers to securely give Claude access to their data while automatically processing and retrieving relevant information. You'll partner directly with research to bring state-of-the-art retrieval advancements to developers. Agentic Systems: You'll build the infrastructure and APIs that let developers create powerful agentic applications on the Claude API — including Claude Managed Agents, our managed platform for deploying and running agents in production. Your work spans the primitives agent developers depend on: tool use, multi-step reasoning, durable sessions and environments, and long-running task execution that lets Claude take actions and accomplish complex goals on a user's behalf. You'll make this platform ready for the largest enterprises to adopt, and partner with research to bring cutting-edge agent capabilities into production. Auth & Identity: We build and maintain the critical infrastructure and control interfaces that power identity and authentication across Anthropic's product suite. We work closely with product teams, security, support, and trust & safety as customers. We create scalable solutions for user authentication, authorization, role-based access control, and single sign-on that form the backbone of our company's identity management operations. We maintain a user-centric approach, building reliable systems that our users and company can depend on as we tackle complex challenges at the intersection of security, scalability, and user experience. Platform Safety: We're building the identity and verification product layer that enables safe model launches as Claude's capabilities expand. This critical effort partners with Safeguards, Auth & Identity, Policy, and Product teams across API, Claude.ai , and third-party platforms as customers, creating the systems for KYC/KYB, trust grant issuance and inheritance, and end-user verification that flow across every Anthropic surface. We sit at the intersection of trust, compliance, and product velocity, delivering the verification primitives that let Anthropic ship advanced model capabilities to the right users at massive scale. You might be a good fit if you: Have a minimum of 8 years of practical experience as a backend or platform engineer building scalable distributed systems, ideally operating at tech lead level or equivalent distributed systems, cloud-native products, developer tools, or external developer facing products Have strong fundamentals in service-oriented architectures, networking, and systems design, ideally having owned both the technical vision and execution of a foundational platform system end to end Are proficient in Python, Go, Rust, or similar systems languages Have experience with cloud infrastructure (GCP, AWS, or Azure), container orchestration (Kubernetes), and/or multi-cloud networking Take full ownership of your work—from design through deployment and operations Can navigate ambiguity and make sound technical decisions independently, and have ideally operated in 0 to 1 and more mature team or company settings Take a product-focused approach to platform work and care about building solutions that are robust, scalable, and easy to use Care about building systems that other engineers love to use Deadline to apply: None. Applications will be reviewed on a rolling basis. Location Preference: Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Europe Workplace: Remote Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. We’re looking for a Principal Engineer to join the ML Platform team at Synthesia. Our team builds and operates the systems that allow researchers and product teams to train, serve, and deploy generative models reliably and efficiently. This includes research infrastructure, production serving systems, internal tooling, and the platform interfaces that connect them. A growing part of our mission is making these systems more automation-friendly and agent-oriented, so that workflows can increasingly be operated through reliable tooling rather than manual effort. We’re looking for a strong generalist with a systems mindset: - someone who is comfortable working across infrastructure, backend systems, and tooling, and who has seen ML systems in practice. - this is not a pure ML Engineer role. We’re especially interested in people who think deeply about reliability, scalability, performance, and resource efficiency in complex production environments. This is a hands-on IC role with significant ownership. You’ll help shape how our ML platform evolves as we scale the number of models, workloads, tools and teams relying on it. WHAT YOU’LL DO - Design and improve the platform systems that support model training, evaluation, and production serving. - Build infrastructure and tooling that make ML workloads more reliable, scalable, and cost-efficient. - Develop internal tools and workflows that are easy to operate both by humans and by agents. - Work on the architecture behind how models are deployed, served, and operated across research and product environments. - Improve how we schedule, monitor, and debug workloads running on GPUs and cloud infrastructure. - Develop internal tools and abstractions and agentic systems that reduce operational overhead for researchers and engineers. - Drive improvements across observability, automation, reliability, and developer experience. - Collaborate closely with researchers and product engineers to understand pain points and turn them into robust platform capabilities. - Contribute to technical direction and make pragmatic architectural tradeoffs as the platform grows. YOU’LL THRIVE IN THIS ROLE IF YOU HAVE - Strong experience building or operating production systems with a focus on reliability, scalability, and maintainability. - A systems mindset: you naturally think in terms of bottlenecks, failure modes, interfaces, resource usage, and long-term operability. - Solid hands-on experience with cloud infrastructure, Linux, and infrastructure automation. - Experience with Kubernetes and operating distributed workloads in production. - Strong coding skills, ideally in Python or similar languages used for backend systems and tooling. - Strong judgment around where automation adds leverage, and where human control and reliability matter most. - Experience building internal platforms, developer tooling, or infrastructure abstractions used by other engineers. - Comfort working in ambiguous environments and taking ownership of open-ended technical problems. - A pragmatic approach: you care about solving the right problem well, not over-engineering. PARTICULARLY RELEVANT EXPERIENCE - Operating ML infrastructure or model serving systems in production. - Supporting research or data-intensive workloads. - Working with GPU-based systems or other performance-sensitive infrastructure. - Experience with observability and debugging in distributed systems. - Familiarity with Terraform, Datadog, GitHub Actions, or similar tools. BONUS POINTS FOR - Experience building agentic or LLM-powered internal tools. - Experience with workflow orchestration systems such as Temporal. - Experience working at the boundary between research and production engineering. - Familiarity with performance optimization, scheduling, or resource allocation problems. - Experience building lightweight product or developer-facing tools.

Задачи: — Разрабатывать iOS-приложение с нуля (greenfield) — Участвовать в проектировании архитектуры — Интегрироваться с backend (REST API) — Писать чистый, поддерживаемый код — Делать code review и unit-тесты — Работать над производительностью и UX Требования к кандидату: — Имеешь 2+ года коммерческого опыта в iOS — Уверенно пишешь на Swift — Понимаешь MVC / MVVM, Clean Architecture — Работал с асинхронностью и многопоточностью — Умеешь проектировать расширяемый код — Работал с REST API Будет большим плюсом: — Опыт с iOS Accessibility (VoiceOver, UIAccessibility и др.) — Понимание accessibility tree и работы фокуса — Опыт с инструментами тестирования доступности Условия: — Удаленная работа из РФ

Location: Espoo; Berlin Workplace: Hybrid - Title: Staff Platform Engineer - Department: Platform & Release Engineering - Location: Espoo, Finland / Berlin, Germany - Reports to: Infrastructure Engineering Lead - Employment type: Permanent - Workplace model: Hybrid - Employment is subject to applicable security screening (incl. SUPO) WHY THIS ROLE MATTERS: As a Senior / Staff Platform Engineer, you’ll own and evolve the foundations that all services rely on, leading the design and operation of a secure, scalable Kubernetes platform across cloud and on-prem environments so product teams can ship faster with less friction and stronger reliability at scale. WHO WE ARE ICEYE delivers space-based intelligence, surveillance, and reconnaissance (ISR) capabilities to governments and allied nations. This includes sovereign and turnkey ISR missions leveraging ICEYE’s world-leading synthetic aperture radar (SAR) satellite technology, as well as access to data from the world’s largest SAR satellite constellation. These capabilities enable partners to detect and respond to critical changes anywhere on Earth with unprecedented speed and accuracy, day or night and in any weather, supported by ultra high-resolution imagery and high-frequency revisits. As a trusted partner for defense, intelligence, security, and maritime domain awareness, ICEYE’s near real-time data creates a tactical advantage for mission-critical operations. Designed for dual use, the platform also serves civil protection and commercial users for natural-catastrophe intelligence, insurance, maritime monitoring including oil-spill detection, and finance, contributing to global security and community resilience. ICEYE is headquartered in Finland and operates globally across Europe, North America, the Middle East, and Asia-Pacific. We have more than 900 employees, united by a shared vision: improving life on Earth by becoming the global source of truth in Earth Observation. YOUR DAY-TO-DAY RESPONSIBILITIES - Design, operate, and continuously improve a secure, scalable, and resilient Kubernetes platform across cloud and on-prem environments - Build and maintain standardized platform capabilities such as ingress, service mesh, secrets management, and lifecycle automation - Develop reusable infrastructure patterns and Terraform modules for AWS and on-prem platforms to enable fast, auditable provisioning - Strengthen observability through clear metrics, logs, traces, dashboards, and actionable alerting that support effective operational decisions - Reduce platform friction for product teams by providing architectural guidance, platform standards, and hands-on enablement - Automate platform lifecycle management including bootstrap, upgrades, scaling, and operational maintenance to reduce manual effort and risk - Drive technical direction and sound architectural choices across platform engineering with pragmatic trade-offs between reliability, security, speed, and maintainability - Help raise engineering maturity by mentoring others and shaping shared engineering standards across teams WHAT WE’RE LOOKING FOR MUST HAVES: - 8+ years of experience in Platform Engineering, SRE, DevOps, or infrastructure roles operating production-critical services at scale - Deep hands-on expertise with Kubernetes, including cluster architecture, upgrades, control plane operations, networking, ingress, storage, security, and lifecycle management - Strong understanding of AWS fundamentals, including networking, IAM, compute, storage, and security patterns - Strong experience with Terraform and infrastructure as code, including reusable modules, abstractions, and scalable provisioning patterns - Strong practical observability experience, including SLO and SLI design, instrumentation, dashboarding, alert strategy, and production performance analysis - Proficiency in at least one backend language such as Python or Go for automation, tooling, and internal platform capabilities - Experience providing technical leadership through platform standards, architectural guidance, and hands-on enablement - Ability to operate effectively in complex environments and make pragmatic technical decisions across reliability, security, speed, and maintainability NICE TO HAVES: - Experience with Rancher, Istio, External Secrets, Vault, and software supply-chain hardening practices - Experience operating Kubernetes in restricted, disconnected, or air-gapped environments - Experience with hybrid platforms spanning AWS and on-prem environments such as vSphere or VxRail APPLICATION PROCESS - Talent Attraction Introduction - Hiring Manager Alignment - Task Assignment - Technical Interview - Director Interview WORKING AT ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. HOW WE WORK (OUR VALUES) Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the why behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. BENEFITS Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us and we will do our best to help. Apply now to start your ICEYE journey and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.

Location: Shanghai, China About JetBrains At JetBrains, code is our passion. Ever since we started, back in 2000, we have been striving to make the strongest, most effective developer tools on earth. Over 15.9 million developers already use our products, and 88 Fortune Global Top 100 companies are JetBrains customers. About the role We are looking for a Customer Success Engineer to join our growing team. In this role, you will work to maintain close relationships with our existing customers in China and help grow the business in the region. As part of our team, you will: Work closely with JetBrains account executives and support engineers to ensure a smooth pre-sales process and post-sales product adoption. Manage existing large accounts, proactively preserve and develop them, and keep customers up to date on product developments. Hold regular discovery calls with existing customers to identify and resolve issues early, understand how they use the product, relay important feedback to the product team, and help optimize their workflows by suggesting new features or improvements. Handle customer escalations and help manage expectations with both the internal product team and the customer. Provide technical guidance and assistance to existing customers. Develop key sales, demo, and technical documentation for customers and adapt existing demos for specific use cases. Visit customer offices and meet onsite at conferences and other events when necessary. We’ll be happy to have you on our team if you: Have strong pre-sales experience with the ability to demo and pitch a product’s key value. Have technical competence combined with a business-oriented approach and a focus on customer needs. Are proficient in software development tools, ideally with hands-on experience in programming, QA, system administration, release automation, or a related field. Possess problem-solving and analytical skills across technical, product, and business areas, with the ability to grasp customer needs and suggest suitable solutions. Have at least five years of customer-facing experience in sales engineering, solutions engineering, customer success engineering, or a similar customer-facing field. Possess strong interpersonal communication skills, both verbal and written – you will need to speak and write English fluently, as it is the preferred language of communication with our customers and partners, as well as within the team. Have ​experience in driving discussions with both technical and non-technical audiences. Are comfortable giving both in-person and remote presentations, holding Q&A sessions, discussing product roadmaps, and delivering product demos. Can work efficiently and successfully without direct supervision in a distributed team. Have a proven track record of building and developing B2B relationships. Speak Chinese at a native level. Are willing and able to travel internationally up to 20% of the time. Why join us? This is a rare opportunity to shape JetBrains’ presence in China at an important stage. You’ll work closely with global leadership while maintaining the autonomy to drive results locally. We’re looking for someone who can take real ownership of the office, lead with clarity, navigate complexity responsibly, and build a sustainable environment where our teams can do their best work. #LI-EG1 We are an equal opportunity employer We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation. We process the data provided in your job application in accordance with the Recruitment Privacy Policy.

Location: Remote, Canada; Remote, United Kingdom; Remote, US 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. As a Staff Backend Engineer in the Developer Experience group, you’ll work cross-functionally to help us identify and improve the engineering experience across GitLab’s internal engineering teams. We’re at a pivotal time in transforming our testing approach and development experience to enable engineers to deliver high-quality code efficiently and with confidence. Developer Experience currently has six, globally distributed teams of Backend Engineers and Software Engineers in Test. This role will work across the entire group to help us identify and remove the biggest points of friction that affect development at GitLab. Expect to split your time between hands-on coding in Ruby and Go, designing scalable solutions and helping every team deliver.  You’ll be instrumental in shaping our engineering culture across GitLab. This is a highly visible role with strong company-wide support. You’ll be instrumental in shifting our culture and practices toward a cohesive Developer Experience Platform strategy—backed by buy-in and appetite for change. Some examples of our projects Project Examples In this role, you may lead projects such as: Internal developer platform adoption: Build and evolve platform capabilities that make it easier for engineering teams to create, deploy, operate, and scale services on Kubernetes. Kubernetes-based service onboarding: Define reusable service templates, deployment workflows, configuration patterns, and operational guardrails for teams adopting the platform. Developer workflows and test environments: Build development, CI, and test environments that reflect production Kubernetes behavior — including third-party operators and the custom resources services depend on — sequencing CRD establishment, controller readiness, and dependent workloads so engineers get a working environment rather than a partially reconciled one, across both local and remote clusters. Platform reliability and observability: Partner with infrastructure and service teams to improve rollout safety, troubleshooting, service health, resource management, and operational visibility across Kubernetes workloads. What You'll Do Lead and grow a team responsible for developer tooling and internal platform capabilities used by engineering teams to build and operate services. Set and execute a roadmap for Kubernetes-based developer workflows, balancing developer experience, platform reliability, security, and operational efficiency. Guide the design of reusable onboarding and deployment patterns for services running on Kubernetes, including workloads, networking, configuration and secrets, identity, storage, observability, progressive delivery, and the custom resources and controllers that services depend on. Make environment bring-up and teardown deterministic — resolving readiness and ordering dependencies between CRDs, controllers, and the workloads that rely on them — so engineers get reproducible environments instead of intermittent failures. Partner with infrastructure, security, and application teams to turn Kubernetes capabilities into simple, well-supported workflows rather than requiring every service team to become a Kubernetes expert. Establish engineering standards, documentation, automation, and feedback loops that improve adoption and reduce the time required to bring a service from development to production. Coach engineers through architectural decisions, incident follow-up, and production operations while maintaining a clear focus on sustainable team delivery. Represent the team with technical and organizational stakeholders, communicate tradeoffs clearly, and use adoption and reliability measures to guide prioritization. What You'll Bring Deep experience building developer tooling, DevEx platforms, testing frameworks, or CI/CD systems at scale. Strong hands-on Go experience designing, implementing, testing, and operating production-quality services, command-line tools, automation, or platform tooling. Experience contributing to Ruby-based systems is also valuable for this role. Practical Kubernetes experience building or operating production workloads and platform capabilities, including deployments, services, networking, configuration and secrets, observability, resource management, and troubleshooting. Depth in Kubernetes deployment lifecycle: Helm-based deployment and release management, kubeconfig and multi-cluster context handling including deploying into clusters you don't own, and integrating third-party operators and their custom resources (CloudNativePG, cert-manager and similar) into working environments — including the readiness and ordering problems that come with them: waiting on CRD establishment, controller availability, and custom resources reaching their own definition of ready. Experience authoring a controller or operator is useful but not required. Experience designing scalable solutions that improve engineering productivity, test reliability, development environments, or delivery workflows across multiple teams. Demonstrated ability to provide technical leadership and influence without authority across engineering, infrastructure, security, and product functions. Familiarity with DevOps workflows, CI/CD pipelines, release automation, and production operations. Strong written and verbal communication skills in a remote-first environment. A product mindset with a passion for empowering developers through simple, reliable, and well-documented workflows. Alignment with GitLab values, especially collaboration, iteration, and transparency. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $131,600 — $282,000 USD 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: Rijeka Workplace: remote CSM Rijeka is looking for self-motivated and skilled seafarers to join Cruise fleet of Columbia Shipmanagement.   JOB DESCRIPTION & QUALIFICATION   Monitoring the Vessels Statutory Deck equipment Certificates ensuring all are in date and highlighting to the Staff Captain any that are due for renewal; Conducting Deck Officer Duty and Deck Department Hazardous Familiarisation training; Assisting Staff Captain as required with scheduling, planning and management of Deck maintenance, inspections and surveys. To be in possession of : Valid COC (STCW Reg II/2) with verification. Valid STCW certifications required for the position. Excellent knowledge of ISM Code, SOLAS, MARPOL, and other maritime regulations Excellent leadership, interpersonal, and crisis management skills Advanced English level; additional languages are an asset and recommended. Safety culture and mindset. Experience with multicultural working environment.   VESSEL'S SPECIFIC REQUIREMENTS   Substantial experience in same rank on large cruise ships, with Azipod propulsion systems.  Experience in worldwide itinerary.   CONTRACT TERMS & CONDITIONS   Contract Duration [4 months +/- 1 months] Contract Benefit: Competitive salary  Terms and condition as per CBA applicable Bonus Scheme Free Internet onboard and wellbeing support   You may include with your application any reference, specific job qualification, and your availability date. Looking forward to welcoming you in the Columbia Group Family.

Location: The Netherlands; Poland; Portugal; United Kingdom; Spain; Italy; Israel The Security Team is responsible for providing key security capabilities covering application, cloud and enterprise security, incident response, detection and GRC. Our team is looking for experienced, hands-on security practitioners, who will drive the adoption of modern security processes and tooling, with focus on automation and backed up by data-driven decisions. What you will do: - Secure cloud infrastructure supporting the ClickHouse products and services (AWS, GCP and Azure) - Collaborate with product and engineering teams to facilitate safe and secure use of public cloud infrastructure and resources - Develop and implement security systems (e.g. CSPM, infrastructure as code, secrets management) to secure and harden ClickHouse cloud infrastructure - Identify and respond to identified security issues, vulnerabilities, and incidents - Identify security gaps and vulnerabilities in ClickHouse assets - Develop processes, tooling and automation to scale security processes and mitigate risks to the business What you bring along: - Strong knowledge of and experience with multiple cloud service providers (AWS, GCP, Azure) - Experience securing large-scale customer-facing cloud infrastructures based on Kubernetes - Expertise in common cloud-based DevOps practices (e.g. CI/CD, infrastructure as code, secrets management) - Development and automation experience Bonus Points: - BS, MS, or PhD in Computer Science or related field - Previous contributions to open source projects - Security or cloud related certifications (AWS, GCP, Azure) #LI-JL1 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 Portugal, Portugal; Remote Poland, Poland Workplace: remote WELCOME TO OLX   We're building marketplace sustainable ecosystems that millions of people depend on every month – to buy and sell cars, find homes, land jobs, and trade secondhand goods. It's commerce that matters: safe, smart, and environmentally responsible.   We do this with courage to innovate, commitment to outcomes, collaboration across 50+ nationalities and 7 markets, and a customer-led approach that puts real people first. Add a desire to win – and you get a culture that's ambitious, fast-moving, and built on trust.   Our brands – including AutoTrader, OLX, Otomoto Property24, and more – are loved by millions. And we're backed by Prosus, one of the world's largest tech investors.   Join OLX and see how far you can go. Join Our Team as an AI-native Staff Backend Engineer!  Join one of our cross-functional teams in Motors, Real Estate, OLX Classifieds, or Platforms, working remotely from Portugal. Are you someone who is craving scalable problems and dealing with optimizations? You'll work with a creative, critical, and well-organized team from the comfort of your house, but as close as we have ever been! You will play a key role in enabling our organisation to scale efficiently. Who we are looking for: You can use agentic workflows (Claude Code, Cursor Agent, or equivalent) as your default, not as a novelty. You practice context engineering, not just prompt engineering;  you design the full information architecture an AI agent needs to succeed: repo structure, CLAUDE.md / AGENTS.md configs, relevant code context, memory, and tool access. You understand model routing trade-offs (e.g., when to use Haiku vs. Sonnet vs. Opus) and multi-agent orchestration. Strong ownership instinct: AI output is a first draft, not a deliverable; you validate, refactor, and take full accountability. You have strong Coding and Computer Science Fundamentals. Roughly ⅔ of your time will be hands-on technical work: designing solutions, steering and reviewing AI-generated code, developing new ideas, and reviewing others' contributions. The rest goes to cross-team influence, mentoring, and strategic alignment. Strong background experience in Golang, Java/Kotlin (preferred technologies), and able to work with PHP. Flexible and capable of adjusting to changing project requirements, roles, and backend technologies as needed. Scalable Systems Expertise. Experience with large-scale web applications, an economic-thinking mindset, and being able to design well-bounded future-proof domain systems, aligned with the business objectives. Deep expertise in scalable distributed systems, CI/CD, RESTful and GraphQL APIs, AWS, and relational + NoSQL databases. Big-picture thinker: aligns technical decisions with business strategy, influences without authority. Clear communicator in English across engineering, product, and leadership audiences. Self-starter who identifies what needs doing and takes initiative without waiting to be asked. Skilled Technical Leader and Mentor: Guide and support engineers by setting a strong example. As a Staff Engineer, you are a role model, leading by example and through your expertise. What you will be doing: Architect context pipelines for AI agents: curate what enters the context window (repo boundaries, domain knowledge, test outputs, CI feedback) so agents produce reliable, mergeable code, not just plausible code. Prepare task specifications that are agent-actionable (clear acceptance criteria, referenced modules, explicit constraints) Design and maintain agent-ready systems: well-bounded repos, comprehensive test suites as guardrails, CI/CD pipelines with structured output agents can parse and act on. Serve as an AI Champion: join and strengthen our growing AI Champion community, contribute to workshops, curate effective agentic workflows, and mentor engineers on AI-assisted practices. Contribute to org-level AI tooling evaluations and OLX AI practices repositories. Drive active migration from a legacy monolith to microservices, owning decisions on bounded domain decomposition. Working on making agentic workflows effective across a codebase whose boundaries are actively being redefined. Set the bar for GraphQL API design, RESTful contracts, database schema, and CI/CD quality across the tribe. Work with product and engineering leadership to identify high-value problems, propose initiatives, and drive impactful technical direction without direct authority Guide senior engineers in managing and reducing technical debt with AI as an accelerator, not a shortcut. Our Hiring Process: Recruiter Interview Managemnent Capabilities System Design Live Coding Our Benefits Permanent contract Salary + annual bonus up to 20% of your annual gross salary Work with and impact all OLX websites around the world Train and conference budget, and free access to Udemy courses Health insurance and life insurance MacBook Pro or a Windows Dell, along with the necessary accessories to make your work comfortable 100% remote work (and the possibility to work from our office in Lisboa) If you think this is the role for you, send your application in English and let’s talk! If you'd like to learn more about us take a look around our careers page and the OLX Group website. Follow us on Linkedin and check out our OLX Group Engineering Blog and Twitter Tech. Diversity, Equity and Inclusion at OLX OLX values diversity and welcomes applicants of all races, ethnicities, disabilities, ages, genders, sexual orientations, religions, backgrounds, and experiences to apply. If this role excites you, we encourage you to apply, even if you don’t meet all the requirements - you may be just the right fit for this or other opportunities with us!   OLX will process your personal data to assess your fit for the applied position. You may optionally consent to store your data for up to 12 months after the application process for consideration in future OLX roles. For more details on how your application data will be processed please check our Privacy Statement.

Задачи: — Тестирование сервисов и API — Работа с автотестами на Java — Взаимодействие с командами разработки — Участие в Code Review — Анализ логов и поиск причин инцидентов — Работа с очередями и интеграциями Требования: — Опыт тестирования от 2 лет (manual / automation) — Понимание тест-дизайна и теории тестирования — Уверенная работа с iOS / Android — Опыт с REST API, Postman — Знание SQL (PostgreSQL, написание запросов) — Знание Java (ООП, автотесты, паттерны) — Опыт с RabbitMQ — Владение Git, ELK — Работа с JSON — Будет плюсом: опыт работы по Scrum / Kanban Условия: — Возможность работать с реальным продуктом и сложными интеграциями — Расширенный социальный пакет — Возможности для профессионального роста и развития — Рассматриваем кандидатов по всей РФ и из дружественных стран

Location: Poland; Colombia; Romania; Brazil; Argentina; Portugal 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. About the Company Our client is an operator-led, AI-powered revenue systems company building next-generation go-to-market (GTM) infrastructure for scaling businesses. They design automation-first revenue engines that transform real-time market signals into predictable pipeline growth. With a deeply AI-native stack—including workflow automation, LLM-powered systems, and custom-built internal products—they support companies scaling from $1M to $100M+ ARR. Engineering is not a support function here—it is the company’s competitive advantage. Role Type: Full-time Engagement: Independent Contractor Job Summary We are hiring a VP of Automation Engineering to act as the foundational technical leader and strategic partner to the CEO . This is a hands-on executive role where you will architect and scale automation systems, build internal products, and lead a high-performing engineering team. You will operate in an AI-first environment , where tools like Claude Code are part of daily development workflows—not optional add-ons. Key Responsibilities Automation Architecture & Infrastructure Own and scale end-to-end automation systems using n8n and API integrations Architect orchestration layers for complex, multi-client environments Build resilient systems with monitoring, alerting, and self-healing capabilities Integrate tools like Clay, CRMs, and outbound platforms into a unified infrastructure Product Development Build internal and client-facing products using Node.js, TypeScript, and modern frameworks Own the full product lifecycle—from architecture to deployment Develop scalable automation products and operational dashboards Establish engineering standards, CI/CD pipelines, and documentation AI Systems & Intelligence Layer Design and deploy production-grade AI/LLM systems (Claude, OpenAI, etc.) Use Claude Code as a core development accelerator across the team Build intelligent pipelines for classification, enrichment, and decision-making Optimize prompt engineering, evaluation systems, and reliability at scale Leadership & Technical Strategy Build, manage, and mentor a high-performing engineering team Define and execute the technical roadmap aligned with company growth Partner directly with the CEO on product and engineering strategy Lead sprint planning, prioritization, and delivery execution Requirements Non-Negotiable Deep, production-level experience with n8n automation systems Strong full-stack development skills (JavaScript/TypeScript, Node.js, APIs, databases) Proven experience leading engineers while remaining hands-on Daily, hands-on use of Claude Code in development workflows Strong working experience with Clay for data enrichment, signal detection, or GTM automation Experience building and scaling AI/LLM systems in production Strong systems architecture thinking (scalability, reliability, fault tolerance) Executive-level mindset with the ability to align technical decisions with business outcomes Preferred Experience Agency or services background with multi-client automation systems Experience building SaaS or productized internal tools Familiarity with tools like Airtable, HubSpot, Slack APIs, and outbound infrastructure Experience with cloud platforms (AWS, GCP, etc.) 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: Poland; Ukraine; Romania; Argentina; Portugal; Colombia About Huzzle At Huzzle, we connect exceptional talents with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms across industries such as SaaS, MarTech, FinTech, and EdTech. Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team. This means you work closely with internal teams, contribute to meaningful projects, and have real opportunities for career growth. Role Type: Full-time Engagement: Independent Contractor About the Company Our client is an AI-first GTM (Go-To-Market) systems company founded by experienced revenue leaders. They build end-to-end automated revenue engines that transform market signals into qualified pipeline using AI agents, workflow automation, and scalable data infrastructure. Their stack combines tools like workflow automation platforms, enrichment systems, CRM integrations, and custom AI agent orchestration layers—serving high-growth companies scaling from $1M to $100M+ ARR. Job Summary We’re hiring a Head of Engineering, GTM Systems to lead the transition from no-code automation to Claude Code-powered AI agent architecture . This role is for a hands-on builder who has deep experience in Clay-based GTM systems and is now building scalable, production-grade systems using Claude Code and modern programming languages . You will own the infrastructure that powers revenue generation—designing intelligent systems that scale across clients and evolve with real-time signals. Key Responsibilities AI Agent Architecture & Engineering Design and build AI-powered GTM systems—from signal detection and enrichment to campaign orchestration and response handling Develop scalable backend systems using Python, JavaScript, or TypeScript Architect integrations across CRMs, APIs, data sources, and outreach platforms Build reusable agent frameworks, templates, and SDK-like components for rapid deployment Team Leadership & Engineering Culture Lead and scale a distributed team of engineers (including offshore talent) Establish best practices for version control, testing, documentation, and deployment Mentor automation-focused engineers into AI-agent and software engineering roles Own hiring, onboarding, and performance management Platform Development & Innovation Drive the shift from no-code workflows to code-first AI systems Evaluate emerging AI tools, LLM capabilities, and automation frameworks Contribute to internal AI tooling and reusable automation libraries Prototype and validate new automation opportunities quickly Systems Reliability & Performance Ensure system reliability through monitoring, logging, and error handling Optimize infrastructure for cost, performance, and scalability Build observability systems to proactively detect and resolve issues Requirements Must-Have Experience Proven experience building GTM automation systems in production (e.g., enrichment workflows, API integrations, CRM automation) Strong understanding of data pipelines, webhooks, and multi-step automation logic Hands-on coding experience in Python, JavaScript, or TypeScript Experience working with AI/LLM-powered systems (prompt design, chaining, context handling) Deep understanding of outbound sales workflows and revenue operations Experience leading or mentoring engineers or technical teams Preferred Qualifications Production-level engineering experience with scalable systems Background in agencies, consultancies, or multi-client environments Familiarity with DevOps practices (CI/CD, monitoring, cloud infrastructure) Active participation in automation, AI, or GTM engineering communities 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: Yerevan, Armenia Description Imagine Live, part of the Digitain Group, specializes in live gaming and streaming worldwide. With a fresh take on live dealer games and premium game show-style content, we deliver top-tier entertainment in a professional, dynamic environment. We are committed to growth, development, and excellence in the gaming industry. Now we welcome Automation QA Engineer to join our impactful, fast-growing team. The ideal candidate will join the mission of improving a world-class iGaming platform and be responsible for testing applications of various types and user segments, monitoring the procedures, implementing the quality standards. Responsibilities Extend automation coverage by working closely with developers to automate test cases and scenarios Maintain and enhance existing test frameworks, and develop new testing tools when needed Execute and maintain automation scripts for new features and regression testing Convert project specifications (functional and design) into effective test scenarios at the appropriate testing layer Collaborate with QA team members to define and follow best practices in testing and automation Take initiative in identifying gaps and suggesting improvements to product quality and testing processes Perform manual testing when needed, including Requirements 2+ years of experience in Software Quality Assurance, primarily testing web applications in a software development environment 2+ years of hands-on experience in test automation, preferably using Playwright or Cypress Solid experience with JavaScript and TypeScript for writing and maintaining automated tests Knowledge of C# is a plus, especially for working with automation frameworks like NUnit or similar Experience in designing, implementing, and maintaining end-to-end (E2E), integration, and API tests Strong knowledge of API testing (Postman, REST clients, or similar tools), including validation of responses and test data setup Experience with test frameworks and tools such as Playwright Test, Cypress Good understanding of test automation best practices, including page object models, reusable components, and test stability Hands-on experience in manual testing, including Understanding of CI/CD pipelines and integrating automated tests into build processes (e.g., Jenkins, GitHub Actions, etc.) Familiarity with version control systems (Git) and code review processes Strong understanding of the Software Development Life Cycle (SDLC) and QA methodologies Excellent communication and collaboration skills Detail-oriented mindset with a strong sense of ownership and responsibility Ability to work independently and proactively identify quality risks

О ПРОЕКТЕ Мы создаем точку входа в мир децентрализованных финансов и блокчейна через геймификацию. Это целая Web3-экосистема, где образование встречается с технологиями. Ищем лидера, который возглавит инженерную команду и построит масштабируемую архитектуру с нуля. ВАШИ КЛЮЧЕВЫЕ ЗАДАЧИ — Strategy: Формирование тех. стратегии и архитектуры всей Web3-экосистемы. — Design: Проектирование интеграций (смарт-контракты, индексоры, off-chain сервисы, auth flows). — Planning: Трансформация продуктового роадмапа в четкие инженерные планы. — Leadership: Руководство тимлидами и разработчиками, менторство и масштабирование команды. — Hands-on: Личное участие в разработке ключевых модулей, Code Review и принятие архитектурных решений. — Safety: Обеспечение надежности и безопасного Delivery совместно с DevOps. НАШ ТЕХСТЕК — Blockchain: Solidity / EVM (Ethereum), Rust / Solana. — Languages: TypeScript / Node.js, React / Next.js. — Web3 Tools: ethers.js / web3.js, WalletConnect, MetaMask. — Data: The Graph / Indexers, RPC providers. — Infra: Docker, Kubernetes, CI/CD. ПОЧЕМУ У НАС КРУТО? — Impact: Реальное влияние на развитие глобальной экосистемы, а не локальной фичи. — Autonomy: Высокая степень свободы в решениях и прямой доступ к C-level. — Culture: Международный контекст, быстрые процессы и отсутствие бюрократии. — Growth: Шанс выстроить инженерные практики «под себя» и собрать зрелую систему.

Location: Abu Dhabi, United Arab Emirates Workplace: on-site At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a .Net Developer to join one of our clients ' teams. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you. Dot Net Developer, will work closely with senior developers and cross-functional teams to design, develop, test, and deploy innovative software solutions. Role Description Design and develop software systems, ensuring adherence to coding standards, best practices, and design patterns. Collaborate with senior developers and stakeholders to understand project requirements and objectives. Assist in designing and implementing software solutions that meet business needs. Write clean, maintainable, and efficient code following coding standards and best practices. Participate in code reviews and contribute to continuous improvement initiatives. Debug, troubleshoot, and resolve software defects and issues. Contribute to the development of technical documentation. Stay current with emerging technologies and industry trends to enhance skills and knowledge. Collaborate with cross-functional teams, including QA, UX/UI, and product management. JOB SPECIFIC KNOWLEDGE & SKILLS: Strong experience with version control systems (Git) including branching strategies (GitFlow, feature branching), pull requests, and code reviews. Proficient in modern front-end technologies including Angular, React, TypeScript, JavaScript (ES6+), HTML5, CSS3, with a solid understanding of component-based architecture, state management, and responsive design. Hands-on experience in back-end development using frameworks such as .NET Core / Java Spring Boot / Node.js, including building scalable and maintainable server-side applications. Experience in designing, developing, and consuming RESTful APIs, with understanding of API standards, versioning, authentication (JWT/OAuth), and integration patterns. Good understanding of database design and data management, including relational databases (SQL Server, MySQL, PostgreSQL) and NoSQL databases (MongoDB, Redis), along with query optimization and basic performance tuning. Familiarity with microservices architecture, including service decomposition, inter-service communication, and API gateway patterns. Exposure to cloud platforms (Azure, AWS, or GCP) and containerized environments using Docker and Kubernetes is an advantage. Experience with CI/CD pipelines (Azure DevOps, GitHub Actions, Jenkins) for automated build, testing, and deployment. Exposure to mobile application development (iOS, Android, or hybrid frameworks like Ionic/React Native) is an added advantage. Strong understanding of software design principles and patterns (SOLID, MVC, Repository Pattern, Dependency Injection, Clean Architecture). Experience with testing frameworks such as xUnit, NUnit, and understanding of unit testing, integration testing, and test-driven development (TDD). Proficient in debugging and troubleshooting, using browser developer tools, API testing tools (Postman), and backend logging/monitoring systems. Understanding of security best practices, including input validation, authentication/authorization, data protection, and secure coding standards. Familiarity with Agile/Scrum methodologies, sprint planning, backlog grooming, and collaborative development practices. Strong analytical, problem-solving, and communication skills, with the ability to work effectively in cross-functional teams. Demonstrates continuous learning mindset, with the ability to quickly adapt to new technologies, frameworks, and evolving industry trends. QUALIFICATIONS IENCE Strong understanding of programming languages such as C#, JavaScript, Typescript. Knowledge of web development technologies, frameworks, and tools (angular/react). Familiarity with database concepts and SQL. Basic understanding of software development methodologies and principles. Strong problem-solving and analytical skills. Excellent communication and teamwork abilities. Eagerness to learn and take on new challenges.

Location: Limassol; Nicosia Workplace: hybrid The Role:  We are looking for an experienced Data Scientist to join our Data Science department. In this role, you will work hands-on on advanced analytics and machine learning projects, leveraging large datasets to build impactful, production-ready solutions.  Ideal for someone who enjoys solving complex problems, building models end-to-end, and driving data-driven decision-making The main responsibilities of the position include: Design, develop, and review machine learning models and advanced analytics solutions Apply statistical analysis and data mining techniques to extract meaningful insights from large datasets Ensure high standards in data preparation, feature engineering, model evaluation, documentation, and code quality Collaborate with cross-functional teams including data engineers, software engineers, product owners, and business stakeholders Present insights, analysis results, and recommendations to both technical and non-technical audiences Ensure adherence to best practices in data quality, model monitoring, version control, and reproducible analytics Contribute to the development of the department’s data science strategy and identify opportunities where data science can deliver business value Main requirements: University degree in Mathematics, Physics, Computer Science, Engineering, Data Science, or a related quantitative field At least 3 years of experience in data science, machine learning, or advanced analytics Strong programming skills in Python and experience with Pandas, NumPy, and similar data analysis libraries Experience with data visualization tools such as Matplotlib, Seaborn, or Plotly Strong knowledge and exposure to Machine Learning Knowledge of Recommendation Systems will be considered a plus Solid understanding of statistics and data mining techniques Experience working with relational and non-relational databases Strong analytical thinking, problem-solving ability, and attention to detail Excellent communication skills and the ability to work collaboratively in a team environment Benefit from: Attractive remuneration package Private health insurance Corporate pension fund Intellectually stimulating work environment Continuous personal development and international training opportunities The Hiring Experience: What Awaits You Let’s Connect – Intro Chat with Talent Acquisition Deep Dive – First Interview with Your Future Team Bring It to Life – Role-Specific Take-Home Task Final Connection – Final Interview All applications will be treated with strict confidentiality!   By submitting this application, I confirm that I have read and agree to the terms of the Privacy and Data Protection Notice and the Confidentiality Undertaking.

Location: Argentina; Canada; United Kingdom; Poland; Estonia; Romania About Huzzle At Huzzle, we connect exceptional talents with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms across industries such as SaaS, MarTech, FinTech, and EdTech. Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team. This means you work closely with internal teams, contribute to meaningful projects, and have real opportunities for career growth. Role Type: Full-time Engagement: Independent Contractor About the Company Our client is an AI-first GTM (Go-To-Market) systems company founded by experienced revenue leaders. They build end-to-end automated revenue engines that transform market signals into qualified pipeline using AI agents, workflow automation, and scalable data infrastructure. Their stack combines tools like workflow automation platforms, enrichment systems, CRM integrations, and custom AI agent orchestration layers—serving high-growth companies scaling from $1M to $100M+ ARR. Job Summary We are hiring a Head of Engineering, GTM Systems to lead the transition from no-code automation to AI-agent-driven, code-first infrastructure . This role is ideal for a builder who started in automation (e.g., workflow tools, enrichment pipelines, API integrations) and is now evolving into full-scale engineering—designing scalable systems, writing production code, and leading technical teams. You will own the architecture powering revenue operations, build intelligent agent systems, and lead a team of engineers delivering high-impact GTM infrastructure across multiple client environments. Key Responsibilities AI Agent Architecture & Engineering Design and build AI-powered GTM systems—from signal detection and enrichment to campaign orchestration and response handling Develop scalable backend systems using Python, JavaScript, or TypeScript Architect integrations across CRMs, APIs, data sources, and outreach platforms Build reusable agent frameworks, templates, and SDK-like components for rapid deployment Team Leadership & Engineering Culture Lead and scale a distributed team of engineers (including offshore talent) Establish best practices for version control, testing, documentation, and deployment Mentor automation-focused engineers into AI-agent and software engineering roles Own hiring, onboarding, and performance management Platform Development & Innovation Drive the shift from no-code workflows to code-first AI systems Evaluate emerging AI tools, LLM capabilities, and automation frameworks Contribute to internal AI tooling and reusable automation libraries Prototype and validate new automation opportunities quickly Systems Reliability & Performance Ensure system reliability through monitoring, logging, and error handling Optimize infrastructure for cost, performance, and scalability Build observability systems to proactively detect and resolve issues Requirements Must-Have Experience Proven experience building GTM automation systems in production (e.g., enrichment workflows, API integrations, CRM automation) Strong understanding of data pipelines, webhooks, and multi-step automation logic Hands-on coding experience in Python, JavaScript, or TypeScript Experience working with AI/LLM-powered systems (prompt design, chaining, context handling) Deep understanding of outbound sales workflows and revenue operations Experience leading or mentoring engineers or technical teams Preferred Qualifications Production-level engineering experience with scalable systems Background in agencies, consultancies, or multi-client environments Familiarity with DevOps practices (CI/CD, monitoring, cloud infrastructure) Active participation in automation, AI, or GTM engineering communities 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