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Location: Amsterdam, Netherlands; Remote - Europe; Remote - United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We are seeking a highly skilled ML/AI Engineer to join our team to lead and support benchmarking of GPU platforms benchmarking of GPU platforms for machine learning and AI workloads. You will play a critical role in evaluating the performance of GPU-based hardware for various deep learning and AI frameworks, enabling data-driven decisions for platform optimisation and next-generation hardware development. Your responsibilities will include: Work closely with hardware, development teams to profile and analyse GPU performance at the system and kernel level. Evaluate and compare GPU performance across different platforms, architectures, and software stacks (e.g.,CUDA, ROCm). Debug and optimise ML workloads to run efficiently on GPU hardware, identifying and resolving performance bottlenecks. Perform acceptance testing acceptance testing for new GPU clusters, ensuring hardware and software meet performance, stability, and compatibility requirements for AI workloads. Perform experiments across diverse GPU system configurations to assess the impact of varying interconnect strategies and system-level optimisations on performance and scalability. Develop tools and dashboards to visualise performance metrics visualise performance metrics, bottlenecks, and trends. Contribute to internal tooling, frameworks, and best practices We expect you to have: A profound understanding of theoretical foundations of machine learning Deep understanding of performance aspects of large neural networks training and inference (data/tensor/context/expert parallelism, offloading, custom kernels, hardware features, attention optimisations, dynamic batching etc.) Deep experience with modern deep learning frameworks (PyTorch, JAX, Megatron-LM, Tensort-LLM) Good understanding of the GPU stack: CUDA,NCCL, drivers, and relevant libraries Familiarity with containerized environments (e.g., Docker, Kubernetes). Strong communication and ability to work independently Ways to stand out from the crowd: Familiarity with modern LLM inference frameworks (vLLM, SGLang, TensorRT) Experience in Python and performance profiling tools (e.g., Nsight, nvprof, perf). Familiarity with cloud ML platforms like AWS, GCP, Azure ML Contributions to open-source ML benchmarking tools Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Poland; Portugal; Ireland; Germany Workplace: Remote Attio is the CRM for agentic revenue. Designed for the most ambitious go-to-market teams, it gives companies the power to understand every customer, automate at scale, and build their go-to-market motion exactly as they need. We've raised $116M from some of the world's best investors: GV (Google Ventures), Redpoint, Balderton, Point Nine, and 01A. We hire builders who thrive on complex technical challenges, hold themselves to a high bar, and genuinely care about delighting the people who use what they build. The team here brings sharp judgement, real craft, and the drive to do exceptional work. We're obsessed about the details and energized by the frontier. If you want to do the best work of your career, this is the right place. ABOUT THE ROLE Our Engineering team tackles the toughest challenges, so our users never have to. Real-time infrastructure, AI-native architecture, and a frontend that feels effortless - all powered by a team that moves fast, thinks rigorously, and holds an exceptionally high bar for quality. We’re looking for a Senior Product Engineer who takes pride in pushing boundaries, obsesses over details, and wants to help reinvent how millions of people work. WHAT YOU'LL DO - Use your strong expertise in TypeScript/Node.js/GCP to move the company and product forward - Lead projects end-to-end to solve real customer problems - Architect the systems which power new features to support our high standards of performance, reliability, security and scale, and re-architect existing systems as their scaling demands grow - Design REST API contracts for both internal and external consumers that are easy to work with - Represent Attio’s Product & Engineering values both internally and externally WHAT YOU'LL BRING - Experience designing scalable, reliable, secure backend systems - Excellent knowledge of modern Cloud Native systems architecture - Expertise with Node.js and TypeScript - A track record of ownership and product delivery - A proactive, self-motivated problem solving attitude, with a strong passion for advancing and innovating in distributed systems - The ability to communicate technical ideas to the wider team and influence stakeholders across Engineering, Product and Design Nice to have: - Experience contributing to, or participating in open source projects - An interest or experience in mentoring other members of the team - Experience working with data-rich backend applications, or processing large volumes of real-time data - A love for experimenting with new ideas, tools and techniques, and exploring new technologies WHAT WE OFFER - Equity in an early-stage tech company on an incredible trajectory - Apple hardware - Team off-site in fun places! (We've been to Barcelona, Lisbon, Malta, and Split so far) - Location specific benefits   nb. We are open to candidates currently living in: Poland, Germany, Portugal, Ireland

Location: London Workplace: Hybrid Attio is the CRM for agentic revenue. Designed for the most ambitious go-to-market teams, it gives companies the power to understand every customer, automate at scale, and build their go-to-market motion exactly as they need. We've raised $116M from some of the world's best investors: GV (Google Ventures), Redpoint, Balderton, Point Nine, and 01A. We hire builders who thrive on complex technical challenges, hold themselves to a high bar, and genuinely care about delighting the people who use what they build. The team here brings sharp judgement, real craft, and the drive to do exceptional work. We're obsessed about the details and energized by the frontier. If you want to do the best work of your career, this is the right place. ABOUT THE ROLE Our Engineering team tackles the toughest challenges, so our users never have to. Real-time infrastructure, AI-native architecture, and a frontend that feels effortless - all powered by a team that moves fast, thinks rigorously, and holds an exceptionally high bar for quality. We’re looking for a Senior Product Engineer who takes pride in pushing boundaries, obsesses over details, and wants to help reinvent how millions of people work. WHAT YOU'LL DO - Use your strong expertise in TypeScript/Node.js/GCP to move the company and product forward - Lead projects end-to-end to solve real customer problems - Architect the systems which power new features to support our high standards of performance, reliability, security and scale, and re-architect existing systems as their scaling demands grow - Design REST API contracts for both internal and external consumers that are easy to work with - Represent Attio’s Product & Engineering values both internally and externally WHAT YOU'LL BRING - Experience designing scalable, reliable, secure backend systems - Excellent knowledge of modern Cloud Native systems architecture - Expertise with Node.js and TypeScript - A track record of ownership and product delivery - A proactive, self-motivated problem solving attitude, with a strong passion for advancing and innovating in distributed systems - The ability to communicate technical ideas to the wider team and influence stakeholders across Engineering, Product and Design Nice to have: - Experience contributing to, or participating in open source projects - An interest or experience in mentoring other members of the team - Experience working with data-rich backend applications, or processing large volumes of real-time data - A love for experimenting with new ideas, tools and techniques, and exploring new technologies WHAT WE OFFER - Competitive salary of £95,000 to £125,000 - Equity in an early-stage tech company on an incredible trajectory - 25 days holiday plus local public holidays - Apple hardware - Private medical insurance through AXA - Pension contribution through Hargreaves Lansdown - Enhanced family leave - Team off-site in fun places! (We've been to Barcelona, Lisbon, Malta, and Split so far)

Задачи: — Эксплуатация и развитие инфраструктуры UEM-платформы SafeMobile — Поддержка крупных инсталляций у заказчиков — Документирование типовых сценариев развёртывания и настройки — Интеграция с инфраструктурой заказчиков: AD/LDAP, SIEM, ServiceDesk, PKI — Формирование требований к продукту на основе опыта эксплуатации Требования: — Опыт эксплуатации MDM/UEM на парке от 1000 устройств — Практический опыт хотя бы с одной из платформ: VMware Workspace ONE / AirWatch, Microsoft Intune, SOTI MobiControl, Samsung Knox Manage, Ivanti / MobileIron, Headwind MDM, BlackBerry UEM или аналоги — Понимание Android Enterprise: Work Profile, Fully Managed, Dedicated Device, COPE — Понимание iOS-управления: Supervised, DEP / ABM — Уверенный Linux — Навыки написания скриптов на Bash и Python — Понимание принципов работы сетей, VPN и PKI Будет плюсом: — Опыт миграции между MDM-платформами — Опыт работы в отраслях с массовыми парками: ритейл, логистика, курьерские службы, нефтегаз, банки, здравоохранение, транспорт — Знакомство с Samsung Knox, Zebra MX, Honeywell, Urovo и другими корпоративными вендорами устройств — Опыт работы с устройствами на AOSP Условия: — Удалённый или гибридный формат — Трудоустройство в аккредитованную ИТ-компанию — Команда из 50+ инженеров, без лишней бюрократии — Прямое влияние на развитие продукта: ваш опыт ложится в платформу

Location: Brazil; United Kingdom; Pakistan; Philippines; South Africa About Huzzle At Huzzle, we connect high-performing professionals with global companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries like SaaS, MarTech, FinTech, and EdTech. We match top talent to full-time remote roles where they’re hired directly into client teams and provided ongoing support by Huzzle. Role Type: Full-time Engagement: Independent Contractor About the Company Our client is a fast-growing AI startup building intelligent AI employees that can call, text, email, and update CRMs automatically. Their platform helps businesses across North America automate sales follow-up, lead engagement, and customer communication at scale while maintaining a natural, human-like experience. This is a lean, high-performance startup environment where team members work closely with leadership, take ownership, and directly influence product growth and client success. Job Summary We’re looking for an Automation Engineer who thrives at the intersection of AI, workflow automation, prompt engineering, and client problem-solving. In this role, you won’t just build automations, you’ll design and optimize AI-driven systems that directly impact revenue for real businesses. You’ll work closely with the founder to create AI agents capable of handling calls, texts, emails, and CRM updates while ensuring conversations feel natural and high-converting. This is an ideal opportunity for someone who enjoys building systems, solving technical problems, and working directly with clients in a fast-moving startup environment. Key Responsibilities Build and deploy AI-powered agents that call, text, and email leads on behalf of clients Create and optimize workflow automations using platforms such as n8n, Make, or similar tools Integrate AI systems with CRMs like HubSpot, Zoho, Salesforce, and GoHighLevel using APIs and webhooks Design prompts and conversational flows that make AI interactions feel human and sales-focused Troubleshoot automation issues, debug workflows, and improve system performance Handle client onboarding and support requests directly Collaborate closely with the founder on new automation strategies and feature improvements Analyze workflow performance and continuously optimize AI behavior and conversion rates Maintain documentation for automations, integrations, and client implementations Requirements Hands-on experience with workflow automation tools such as n8n, Make, Zapier, or similar platforms Strong understanding of APIs, webhooks, JSON, and third-party integrations Experience reading technical API documentation and troubleshooting integration issues Familiarity with CRM systems including HubSpot, Salesforce, Zoho, or GoHighLevel Experience with prompt engineering for conversational AI or sales-focused AI workflows Understanding of outbound sales workflows, SMS campaigns, follow-up automation, and lead nurturing Excellent problem-solving and debugging skills Comfortable working directly with clients in a fast-paced startup environment Strong communication skills in English Ability to manage multiple projects and adapt quickly to changing priorities Experience building AI voice agents or AI employees Experience with OpenAI APIs, conversational AI platforms, or LLM workflows Knowledge of sales psychology and high-converting sales scripts Previous startup experience Basic scripting or coding experience (JavaScript, Python, 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: San Francisco; Remote; Toronto; New York; Montreal Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE As a Site Reliability Engineer at Baseten, you'll define and codify the gold standards of day 2 operations for our ML infrastructure platform. You'll envision and build robust systems, processes, automations, and observability tooling that keep our platform reliable at scale — and that empower the broader organization to operate confidently. You'll work closely with engineering, forward-deployed and product teams: learning from recurring failure patterns, turning tribal knowledge into automated mitigations, and raising the operational floor for the entire company. EXAMPLE INITIATIVES You'll work on projects like these as part of the SRE team: - Improve Baseten SRE Practices, by instrumenting SLOs and SLIs, improving alerting and observability for all services. - Building AI-assisted tooling for incident triage and response. RESPONSIBILITIES - Own the reliability of Baseten's multi-cloud Kubernetes infrastructure, including incident response, post-mortems, and remediation tracking. - Build and maintain observability infrastructure — metrics, logging, dashboards, and alerting — as code. - Author, validate, and improve runbooks for recurring failure patterns, ensuring they're structured for low-context, safe execution. - Identify high-frequency failure patterns and convert them into automated mitigations or self-healing automations. - Diagnose and resolve runtime issues related to latency, memory behavior, GPU utilization, concurrency, and model lifecycle management. - Define and instrument SLOs and SLIs across customer workloads and internal services. - Navigate ambiguity, make principled tradeoffs, and avoid unnecessary complexity in the systems you build and the processes you define. REQUIREMENTS - Extensive hands-on experience with Kubernetes (multi-cloud experience across EKS, GKE, or similar is a strong plus). - Experience in building and maintaining scalable infrastructure. - Strong foundation in observability tooling: metrics (VictoriaMetrics, Prometheus), logging (Loki, ELK), dashboards (Grafana), and alerting pipelines. Observability-as-code experience is a plus. - Experience with infrastructure-as-code (Terraform, Helm) and GitOps workflows (Flux CD, ArgoCD). - Experience writing and improving runbooks, leading incident response, and doing post-mortem analysis. - Comfort working at the intersection of engineering and operations — you write code, but you also think deeply about process, escalation paths, and operational leverage. - Familiarity with incident management platforms (incident.io http://incident.io or similar) is a plus. - No prior ML experience required, but curiosity about how ML models are deployed and served at scale will serve you well. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: Bratislava, Slovakia; Banská Bystrica, Slovakia Workplace: remote At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are looking for a highly experienced Staff Software Engineer to join a fast-growing engineering organization focused on shared capabilities and commercial services. In this role, you will contribute to the evolution of core product and engineering capabilities that power a global portfolio of products and services. This is an opportunity to work on strategic, high-impact initiatives while helping shape engineering standards, architecture, and best practices across multiple domains. The ideal candidate is passionate about scalable backend systems, product engineering, technical leadership, and hands-on software development. Responsibilities Lead technical decisions for major platform capabilities and translate business needs into practical technical roadmaps. Serve as a domain expert, defining scalable and maintainable domain boundaries and service architectures. Design, build, and evolve backend capabilities and APIs across multiple systems and domains. Take ownership of end-to-end product features, including scalability, reliability, and operational excellence. Drive engineering best practices through hands-on coding, mentorship, and technical leadership. Collaborate closely with product, engineering, and business stakeholders to deliver impactful solutions. Communicate complex technical concepts clearly to both technical and non-technical audiences. Promote modern software engineering practices including Domain-Driven Design (DDD), SOLID, GRASP, and API-first architecture. Proven experience delivering large-scale, customer-facing software products. Strong expertise in backend services, distributed systems, and application/data integration. Hands-on experience applying Domain-Driven Design (DDD) and API-first principles within multi-tenant platforms. Strong full-stack engineering background with deep understanding of software design patterns and best practices. Proficiency in TypeScript and Node.js preferred, or strong experience with backend technologies such as Java, .NET/C#, Kotlin, Python, or Go. Ability to translate product requirements into scalable technical designs and implementation roadmaps. Strong ownership mindset with the ability to drive projects end-to-end. Nice to Have Experience with AWS cloud architecture and infrastructure design. Exposure to LLMs or AI-related technologies. Experience working on platform or shared-service architectures. What’s Offered Competitive salary. Flexible and supportive work environment. Career growth and continuous learning opportunities. International team events and company gatherings. Opportunity to work alongside highly skilled engineers and technical leaders. Inclusive and collaborative culture that values diverse perspectives and experiences.

Location: Bratislava, Slovakia Workplace: remote At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a Staff Software Engineer to join one of our clients ' team. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you. Responsibilities: Design and implement application architecture that is scalable, maintainable, observable, and high-performing. Write clean, efficient, and well-documented code. Conduct code reviews, review architecture, and contribute to engineering best practices. Identify and optimise performance bottlenecks across systems. Collaborate closely with cross-functional teams to deliver impactful features. Ensure application security, implementing safeguards against vulnerabilities. Take part and lead decisions for the major capabilities, helping teams translate business and product needs into clear, practical technical roadmaps. Serve as a product-engineering subject-matter expert (SME) for the domain, mapping capabilities into well defined domains and ensuring they deliver required business and product services within the wider technical platform. Lead by example through hands-on coding, creating new capabilities or evolving existing ones and driving adoption of best software engineering principles and practices, alongside continuous mentorship and guidance to the teams. Communicate complex solutions clearly to stakeholders inside and outside the area, while embedding a strong product engineering culture across teams. Strong hands-on experience building customer-facing web products using React and Next.js . A strong front-end engineering background, ideally with full-stack experience to work confidently across APIs, integrations and system boundaries. Proven experience designing and evolving software architecture across complex systems, multiple codebases or related product domains. A strong product engineering mindset, with the ability to translate product requirements into clear technical designs, staged delivery plans and high-quality implementations. Excellent communication skills, with the ability to explain complex technical decisions clearly to both technical and non-technical audiences. A coaching mindset — someone who enjoys helping others grow, raising standards and making best practices stick without ego. Ideally you will also have: Experience with PHP and Vue/Vue components. Experience working on membership, community, personalisation, gamification or user-retention products. Experience working on high-traffic websites. Experience applying Domain-Driven Design, SOLID, GRASP or other software design principles in a practical product environment.

Location: Banská Bystrica, Slovakia; Bratislava, Slovakia Workplace: remote At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a Staff Software Engineer to join one of our clients ' team. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you. We are looking for a highly skilled Staff Software Engineer to help shape the technical foundation of a fast-growing product within the social gaming industry. This role is ideal for someone passionate about building scalable backend systems, solving complex engineering challenges, and driving technical excellence in a high-performance environment. You will play a key role in designing and implementing the architecture behind real-time tournament systems, ensuring reliability, scalability, security, and outstanding performance for a global user base. Responsibilities Design and implement scalable, maintainable, observable, and high-performing application architecture. Develop clean, efficient, and well-documented code following engineering best practices. Contribute to architecture decisions, code reviews, and technical standards across the engineering team. Identify and optimize system performance bottlenecks. Collaborate closely with engineers, product managers, and designers to deliver impactful features. Ensure application security and implement safeguards against vulnerabilities. Apply modern software engineering principles including Domain-Driven Design (DDD), SOLID, and GRASP. Proven experience building and delivering large-scale production systems. Strong understanding of Domain-Driven Design, API-first architecture, and software design patterns. Strong proficiency in JavaScript (React/Next.js) or another backend language, ideally Node.js or PHP. Experience with Pub/Sub systems, WebSockets, and Server-Sent Events (SSE). Experience working with scalable backend and platform architecture. Product engineering mindset with the ability to translate business requirements into technical solutions and deliver features end-to-end. Strong problem-solving skills and ability to thrive in fast-paced environments. Nice to Have Experience with MySQL. Experience building white-label products. Background in real-time systems or gaming-related platforms. What’s Offered Competitive salary Flexible working environment supporting work-life balance. Opportunities for professional growth and development. International team-building events and company gatherings. Collaborative environment with highly skilled professionals. Inclusive and diverse workplace culture that values different perspectives and experiences.

Location: Bratislava, Slovakia; Banská Bystrica, Slovakia Workplace: remote At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking Senior Engineering Manager 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. Your Impact: Lead multiple squads working with our talented team of Engineering Managers, coaching them to raise the bar on delivery, communication, and technical decision-making. Set and steer technical strategy across the product area and keep roadmaps on track. Align across the Gaming pillar partnering with engineering leaders to ensure our teams work efficiently and drive consistent standards. Drive clarity through data to support prioritisation and planning. Partner with Product and commercial stakeholders to iterate and deliver measurable improvements in customer value and business performance. What You'll Bring: Proven experience as a Senior Engineering Manager / Head of Engineering / Group EM (or equivalent) Strong architecture and systems judgement, able to challenge proposals, weigh trade-offs, and guide multi-team technical direction without being hands-on day-to-day. Experience running multiple teams working on different priorities, maintaining momentum and alignment. Deep understanding of product development lifecycle in a product-led environment. Nice-to-haves: Experience in Gaming or consumer products. Familiarity with modern web stacks (our Gaming stack includes Node and React) and cloud platforms. Why us? 1.Super smart colleagues to work alongside and learn from, with company-wide team-building events twice a year, including great entertainment, catering, and accommodation in a beautiful hotel. 2.Engaging development opportunities at all levels. 3.Tailored flexibility for your work-life balance. 4.Exciting global events, where we unite in person to ignite our shared passion and unveil the exciting strategies for the year ahead! 5.Unlock your full potential by joining the team. To support you on this journey, we provide an extensive array of benefits and perks, as outlined in our global offerings above. For country specific benefits please reach out to your talent partner.

Location: Remote Ireland; Remote, France; Remote, Germany; Remote, Netherlands; Remote, United Kingdom 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. Staff Forward Deployed Engineer, Agentic SDLC - (EMEA Only) An overview of this role GitLab’s Forward Deployed Engineering team is a field-situated product engineering function focused on strategic customer outcomes, artificial intelligence (AI) adoption, and direct contributions to GitLab’s product. This isn't a traditional field engineering, solutions architecture, or professional services role. As a Staff Forward Deployed Engineer, you'll work closely with customers while maintaining the technical standards and contribution discipline of a Staff-level product engineer. You'll work where strategic customer urgency, complex technical ambiguity, and GitLab product execution intersect. You'll partner directly with strategic customers and teams across Product, Engineering, Support, Site Reliability Engineering (SRE), Solutions Architecture (SA), Customer Success Architecture (CSA), Customer Success Management (CSM), and Professional Services. You'll diagnose and resolve high-impact adoption blockers, contribute production-quality fixes and features, and turn what you learn into repeatable patterns for GitLab and its customers. Why this role exists Strategic customers sometimes encounter challenges that are too broad, deep, urgent, or cross-functional for any single team to own from start to finish. These challenges may involve product gaps, performance degradation, scale bottlenecks, AI governance, adoption blockers, architectural constraints, Git usage patterns, continuous integration and continuous delivery (CI/CD) complexity, application programming interface (API) automation, security requirements, or operational instability. Forward Deployed Engineering provides technical stewardship in these moments. The team doesn't simply observe, report, or escalate. You'll engage directly, diagnose the underlying technical problem, collaborate with the right teams, contribute code or technical solutions where appropriate, and transition the outcome into normal ownership once the customer is stable and the learning can be reused. What you’ll do Product contribution Contribute production-quality code to GitLab’s product and adjacent systems. Develop bug fixes, features, integrations, tooling, and performance improvements when strategic customer outcomes require direct engineering work. Work within GitLab’s product and engineering processes, including issue discovery, merge request creation, testing, review, documentation, and maintainability. Partner with Product and Engineering so customer-driven solutions support long-term product direction rather than becoming one-off customizations. Turn blockers discovered in the field into durable product improvements, reference architectures, documentation, and repeatable implementation patterns. Strategic technical stewardship Engage with strategically important customers when adoption, retention, executive confidence, or public trust is materially at risk. Diagnose complex problems across GitLab product behavior, customer architecture, Git internals, CI/CD workflows, API usage, observability, infrastructure, networking, and cloud environments. Coordinate across Product, Engineering, SRE, Support, SA, CSA, CSM, Professional Services, and customer technical teams to drive resolution from discovery through handoff. Provide recommendations grounded in data, traces, and systems analysis to improve GitLab usage, workflows, automation, and architecture. Create durable outcomes without establishing permanent dependency on Forward Deployed Engineering. AI adoption and agentic software development lifecycle Drive governed, measurable, and production-oriented adoption of GitLab Duo Agent Platform with strategic customers. Identify and resolve AI adoption blockers involving governance, usage controls, auditability, security, compliance, operating models, workflow design, and integrations. Develop customer-safe adoption patterns for the agentic software development lifecycle (SDLC), AI-assisted development, intent-based review, AI governance, and human-in-the-loop software delivery. Partner with Product, Engineering, Field, and Customer Success teams to turn AI adoption learning into reusable guidance and product improvements. Thought leadership Create technical narratives grounded in customer experience and product reality that can help shape the industry’s approach. Contribute to Well-Architected Frameworks, whitepapers, webinars, reference architectures, technical strategy memos, and adoption frameworks. Guide ideas through discovery, formulation, validation, amplification, and adoption across GitLab. Partner with SA, CSA, Product, Engineering, Marketing, Product Marketing Management, CSM, Support, and executive stakeholders to make technical thought leadership a shared company capability. What you’ll bring Staff-level experience building, operating, or improving complex production software systems. Experience contributing to large, mature product codebases with high standards for testing, maintainability, performance, and security. Strong Ruby on Rails or Go experience and the ability to contribute directly to GitLab’s product and adjacent systems. Experience with AI-assisted software development, agentic workflows, AI governance, model evaluation, context management, prompt and workflow design, or AI adoption in enterprise environments. Experience diagnosing complex system behavior across application code, data stores, infrastructure, observability, networking, APIs, and customer usage patterns. Deep knowledge of modern DevSecOps workflows, including Git, merge requests, CI/CD, security controls, compliance needs, and enterprise software delivery. Experience working with strategic customers or senior technical stakeholders in ambiguous, high-impact situations. The ability to coordinate across product, engineering, field, and customer teams without formal authority. Strong written communication and sound judgment, including the ability to create technical narratives and distinguish reusable product work from customer-specific customization. Strongly preferred qualifications Direct experience with GitLab as a platform, including GitLab.com, GitLab Dedicated, or GitLab Self-Managed. Production experience with Ruby on Rails, Go, PostgreSQL, Redis, Sidekiq, Vue, TypeScript, Kubernetes, Docker, Linux, or observability tools. Deep familiarity with Git internals, repository performance, large-scale Git usage patterns, or GitLab Runner behavior. Experience creating technical thought-leadership materials, such as whitepapers, technical talks, architecture frameworks, requests for comments, public technical writing, or internal strategy documents. A background in performance engineering, site reliability engineering, platform engineering, infrastructure engineering, or distributed systems. Experience working in open source or highly asynchronous engineering environments. Technologies and domains Directly relevant technologies and domains include: Ruby on Rails Go AI-assisted development and the agentic SDLC PostgreSQL Redis and Sidekiq Git internals GitLab CI/CD and Runner architecture Kubernetes and containers Terraform Linux, networking, observability, and performance analysis Vue and TypeScript APIs and automation DevSecOps governance, security, and compliance What this role is not This role isn't: A generic field engineering role. A proof-of-concept factory. A replacement for Solutions Architecture, Customer Success Architecture, Customer Success Management, Professional Services, Support, SRE, Product, or Engineering. A customer-specific customization function. Unbilled Professional Services. A requirements-gathering role that only escalates to Product. An AI evangelism role disconnected from product execution. Success measures Success in this role may include: Stabilizing strategic customer adoption or retention risks. Fixing product bugs or contributing features. Removing AI adoption blockers for strategic accounts. Creating reusable implementation patterns and transitioning them to long-term owners. Producing or enabling Well-Architected Frameworks, whitepapers, webinars, or technical narratives. Resolving cross-functional customer challenges without creating permanent dependency on Forward Deployed Engineering. Equipping Product, Engineering, Support, CSA, CSM, Professional Services, and SA teams with better guidance based on learning from the field. Increasing adoption and effective use of GitLab capabilities, especially GitLab Duo and GitLab Duo Agent Platform, in targeted accounts. About the team The Forward Deployed Engineering team connects strategic customer needs with GitLab product execution. The team works directly with customers and across GitLab to resolve complex adoption challenges, contribute durable product improvements, and create reusable technical guidance. Its goal is to stabilize urgent situations, improve the product, and transition ongoing ownership to the appropriate team rather than create a permanent dependency. Ideal candidate profile You're a Staff-level product or platform engineer who can operate in the field without becoming field-only. You're comfortable reading traces, writing production code, debugging architecture, discussing AI governance, leading a customer technical session, opening a merge request, outlining a whitepaper, and coordinating across teams to achieve a strategic customer outcome. You're not simply a strong communicator with technical awareness. You're a credible engineer with the judgment, presence, and narrative ability to turn customer reality into product contributions, adoption guidance, and company-level thought leadership. We welcome candidates with different backgrounds and levels of experience. Many successful candidates don't meet every qualification. If you're excited about this role, we encourage you to apply and let our recruiting team assess your application. Remote-Global 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: Riga Workplace: remote CSM Baltija is looking for self-motivated and skilled seafarers to join our expanding fleet of Columbia Shipmanagement. JOB DESCRIPTION & QUALIFICATIONS Responsible for the proper operation and maintenance of Auxiliary Engines and other machinery equipment. Holder of valid STCW certifications required for the position. Good communication and leadership skills. Effective English communication. Safety culture and mindset. Experience with multicultural working environment.   VESSEL'S SPECIFIC REQUIREMENTS   Minimum experience requirements: 8 months in Rank with the same type of vessel. Experience on engine model: M/E: Sulzer 7RT-flex84T-D is required.  Experience with Chemical product cargo operations. Experience in trading area USA and Australia is recommended.   CONTRACT TERMS & CONDITIONS   Contract Duration [4 months +/- 1 months] Contract Benefit: Competitive salary Terms and condition as per CBA applicable Free Internet onboard and wellbeing support    You may include with your application any specific job qualification, and your availability date. Looking forward to welcoming you in the Columbia Group Family.

Location: North Macedonia; Georgia; Serbia; Croatia; Slovenia; Bosnia and Herzegovina 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 in industries such as SaaS, MarTech, FinTech, and AI. Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team. Role Type: Full-time Engagement: Independent Contractor Job Summary As an AI Engineer, you will be responsible for developing and optimizing AI systems, integrating machine learning models into production environments, and building scalable AI-driven applications. You will contribute to everything from model experimentation to deployment and performance optimization. Key Responsibilities Design, build, and deploy AI and machine learning solutions for real-world business applications. Develop and maintain applications using Large Language Models (LLMs) such as GPT-based systems. Build AI-powered automations, copilots, chatbots, and workflow systems. Fine-tune, evaluate, and optimize machine learning models for performance and scalability. Integrate AI systems with APIs, databases, CRMs, and third-party platforms. Collaborate with product and engineering teams to translate business requirements into AI-driven solutions. Implement prompt engineering strategies and retrieval-augmented generation (RAG) systems. Monitor model performance, reliability, and cost efficiency in production environments. Maintain documentation, testing procedures, and deployment workflows. Stay updated on the latest AI trends, frameworks, and emerging technologies. Requirements 3+ years of experience in AI Engineering, Machine Learning, or Software Engineering. Strong experience with Python and AI/ML frameworks such as TensorFlow, PyTorch, LangChain, or Hugging Face. Experience working with LLMs, OpenAI APIs, Anthropic, Gemini, or similar AI platforms. Familiarity with vector databases, embeddings, and RAG architectures. Experience deploying AI applications using cloud platforms such as AWS, GCP, or Azure. Strong understanding of APIs, backend systems, and scalable application architecture. Experience with Docker, Git, CI/CD pipelines, and modern development practices. Excellent problem-solving and analytical thinking skills. Strong communication skills with the ability to work in remote, cross-functional teams. Bonus: Experience building AI agents, automation systems, or voice AI applications. Benefits 💰 Competitive salary based on experience and location 🌎 Fully remote role with flexible work environment 🚀 Work on cutting-edge AI automation projects with real business impact 📈 Strong growth opportunity into senior AI / systems roles 🧠 Exposure to LLMs, prompt engineering, and scalable AI system design 🤝 Direct collaboration with a fast-moving, high-performance team

Location: South Africa; Pakistan; Philippines; United States; United Kingdom; Canada 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 in industries such as SaaS, MarTech, FinTech, and AI. Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team. Role Type: Full-time Engagement: Independent Contractor Job Summary We are looking for a highly skilled AI Engineer to design, build, and deploy AI-driven applications and machine learning solutions. You’ll work closely with product, engineering, and data teams to create intelligent systems that improve automation, customer engagement, and operational efficiency. This role is ideal for someone passionate about artificial intelligence, large language models (LLMs), machine learning infrastructure, and production-grade AI systems. Key Responsibilities Design, develop, and deploy AI and machine learning models for real-world applications. Build and optimize AI-powered tools using technologies such as OpenAI, Claude, Gemini, or open-source LLMs. Develop scalable APIs and backend services for AI applications. Fine-tune machine learning models and improve model performance. Work with structured and unstructured datasets for training and inference. Implement prompt engineering strategies and retrieval-augmented generation (RAG) pipelines. Integrate AI solutions into web platforms, CRMs, and business systems. Monitor AI model performance, reliability, and scalability in production. Collaborate with cross-functional teams to define AI product requirements and technical roadmaps. Stay updated on emerging AI technologies, frameworks, and best practices. Requirements 3+ years of experience in AI engineering, machine learning, or software engineering. Strong experience with Python and AI/ML frameworks such as TensorFlow, PyTorch, LangChain, or Hugging Face. Experience working with LLMs, generative AI tools, and prompt engineering. Familiarity with vector databases, embeddings, and RAG architectures. Knowledge of cloud platforms such as AWS, GCP, or Azure. Experience building REST APIs and scalable backend systems. Understanding of MLOps, model deployment, and monitoring workflows. Strong problem-solving and analytical thinking skills. Excellent communication and collaboration abilities. Experience working in remote or distributed teams is a plus. Benefits 💰 Competitive salary based on experience and location 🌎 Fully remote role with flexible work environment 🚀 Work on cutting-edge AI automation projects with real business impact 📈 Strong growth opportunity into senior AI / systems roles 🧠 Exposure to LLMs, prompt engineering, and scalable AI system design 🤝 Direct collaboration with a fast-moving, high-performance team

Location: Mexico; Colombia; Brazil; Chile; Argentina; Costa Rica 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 in industries such as SaaS, MarTech, FinTech, and AI. Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team. Role Type: Full-time Engagement: Independent Contractor Job Summary We are looking for a highly skilled AI Engineer to design, develop, and deploy scalable AI and machine learning solutions. You’ll work closely with product, engineering, and leadership teams to build intelligent systems that power automation, analytics, conversational AI, and predictive capabilities. This role is ideal for someone passionate about artificial intelligence, large language models (LLMs), machine learning infrastructure, and solving real-world business challenges with cutting-edge technology. Key Responsibilities Design, develop, and deploy AI/ML models for production environments. Build and optimize AI-powered applications using large language models (LLMs) and generative AI tools. Develop intelligent automation workflows, chatbots, recommendation systems, and predictive analytics solutions. Fine-tune, evaluate, and improve machine learning models for performance and scalability. Collaborate with software engineers and product teams to integrate AI features into existing platforms. Work with structured and unstructured datasets for training and inference pipelines. Implement prompt engineering strategies and retrieval-augmented generation (RAG) systems. Monitor AI systems, troubleshoot issues, and continuously improve model accuracy and efficiency. Stay updated with the latest advancements in AI, machine learning, and automation technologies. Maintain documentation for AI models, systems, and workflows. Requirements 3+ years of experience in AI engineering, machine learning, or related software engineering roles. Strong experience with Python and AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, or LangChain. Hands-on experience working with OpenAI APIs, LLMs, generative AI, or NLP systems. Experience deploying machine learning models into production environments. Familiarity with vector databases, embeddings, and RAG architectures. Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform. Knowledge of Docker, Kubernetes, APIs, and CI/CD pipelines is a plus. Strong understanding of data structures, algorithms, and software engineering best practices. Excellent problem-solving and analytical skills. Strong communication skills and ability to work in a remote, collaborative environment. Benefits 💰 Competitive salary based on experience and location 🌎 Fully remote role with flexible work environment 🚀 Work on cutting-edge AI automation projects with real business impact 📈 Strong growth opportunity into senior AI / systems roles 🧠 Exposure to LLMs, prompt engineering, and scalable AI system design 🤝 Direct collaboration with a fast-moving, high-performance team

Location: Al Jubail, Saudi Arabia; Jamnagar, India; Lusail, Qatar; Dubai, United Arab Emirates Eram Talent is actively seeking an experienced Cost Engineer to handle Project Management activities for the Upstream Unconventional Resources. We seek an experienced Cost Engineer to provide a complete cost engineering service to the team, demonstrating expertise in large, complex projects with a global reach. The ideal candidate will have prior experience in upstream oil and gas, midstream, LNG, refining and petrochemicals industries. Responsibilities Provides all cost engineering expertise and coordinates activities as group/unit leader as required. Responsible for preparation of cost portion of the engineering, procurement and construction contracts. Collects, monitors, analyzes and reports all cost information through the Project Manager. Reviews and analyzes all claims and Change Orders on project contracts. Participates in the negotiation of project contracts as required. Initiates appropriate action when total forecast indicates allocated funds will be exceeded. Collects, monitors, analyzes and reports all cost information through the Project Manager and prepares the necessary reports to monitor cost utilization for the management, as required. Provides assistance to other Project support team on cost reviews, as necessary. Candidate shall have strong technical writing skills and willing to mentor and motivate young Saudi Engineer and Train future work colleagues in their roles and duties in the business. Be proactive and promote a culture of continuous business process improvements. Keeps abreast of significant developments in cost engineering by close review of technical literature, contacts with contractors, visits to areas of construction, and attendance at professional technical meetings. Participates in the negotiation of project contracts as required and reviews the cost portion of the engineering, procurement and construction contracts Requirements A Bachelor's Degree in Engineering, Construction Management, Economics, Business Administration, MIS, Accounting, or closely related field. Minimum of twelve (12) years’ experience in cost engineering including at least five years devoted to petrochemical, refinery, pipeline, or power generation projects. Familiar with construction practices, materials, equipment. Strong interpersonal skills, creative solution and problem solving skills and utilizes computer programs. Candidate shall have strong technical writing skills and willing to mentor and motivate young Saudi Engineer. Knowledge of international standard specification and familiar with Aramco standard especially in Civil, Mechanical and Piping discipline.

Location: United States, Los Angeles, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. SIE Studio IT is seeking a Lead Systems Engineer to lead the design, operation, and evolution of our production infrastructure and data center platforms. This role provides technical direction for the Systems Administration team and serves as the senior engineering authority for Linux systems, enterprise server hardware, virtualization, storage, and high-availability infrastructure. Responsibilities Lead the design, deployment, and operational support of Linux and Windows platforms in a production environment. Architect and support enterprise server hardware, including platform selection, RAID configuration, firmware lifecycle management, hardware diagnostics, and performance troubleshooting. Lead the design, deployment, and operation of enterprise and distributed storage platforms, including technologies such as Ceph, NFS-based NAS, and SAN architectures. Design and maintain high‑availability and load‑balanced systems, including clustered servers. Define and own the monitoring, alerting, and observability strategy for infrastructure platforms including storage, virtualization, servers, and operating systems. Partner with vendors and internal teams on hardware selection and lifecycle planning. Establish technical standards, patterns, and documentation that can be executed by the Systems Administration team. Review designs, changes, and implementations performed by Systems Administrators to ensure quality, consistency, and reliability. Act as the technical lead during infrastructure incidents, driving restoration efforts and post-incident review actions. Ensure infrastructure designs align with security standards and requirements. Requirements Bachelor’s degree or equivalent. Strong Linux and Windows administration and engineering experience in enterprise or production environments. Strong hands-on experience with enterprise server hardware, including troubleshooting, lifecycle planning, and firmware management. Strong experience with enterprise storage and distributed storage systems; Ceph experience strongly preferred. Strong experience architecting and administering Windows and Linux server platforms in enterprise or production environments. Strong understanding of how storage, compute, and virtualization interact in performance‑sensitive production environments. Strong scripting and automation skills, preferably Python and/or PowerShell. Proficiency with Active Directory, DNS, and DHCP; Infoblox experience is a plus. Experience designing or overseeing monitoring, alerting, and observability solutions, including dashboarding platforms such as Grafana or equivalent tools. Ability to lead and mentor Systems Administrators. 5+ years of relevant enterprise IT experience in a senior or lead infrastructure role. Available to work varying hours, on-call shifts, including evenings, weekends, and holidays as required. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $155,900 — $233,900 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Задачи: — Создание и поддержка пайплайнов сборки и деплоя (GitHub Actions). — Управление контейнерами (Docker, Nomad/K8s, Podman). — Поддержка, ремонт и масштабирование систем с фокусом на безопасность. — Настройка мониторинга (Prometheus, Grafana, ELK) и Alertmanager. — Участие в проектировании архитектуры и внедрение IaC-подходов. Требования: — От 3 лет коммерческого опыта в DevOps. — Владение Docker, Nomad/K8s, Consul, Traefik, Vault. — Уверенное владение Ansible и скриптингом (Bash, Python). — Опыт работы с MySQL и понимание twelve-factor app. — Навыки создания дашбордов в Grafana. Условия: — Работа в продукте с более чем 10 миллионами пользователей. — 28 дней отпуска + 7 дополнительных Day-off в году. — 100% оплата больничных и компенсация обучения/литературы. — Гибкий старт дня (10:00–11:00). — Комфортный офис в центре Санкт-Петербурга (м. Площадь Восстания).