Вакансии

Задачи: постройка и отладка процессов разработки и тестирования, код-ревью и архитектурное ревью, проработка технических требований и архитектуры, активное участие в разработке высоконагруженных систем, принятие технических решений по продукту, прогнозирование возможных проблем производительности.

Задачи: эксплуатация и развитие Kubernetes-инфраструктуры — инсталляция и сопровождение сторонних продуктов (базы данных, аналитические системы, интеграционные API и др.), поддержка бизнес-приложений в production, консультации команд по конфигурации и эксплуатации сервисов в k8s;

Задачи: разработка новых функциональностей мобильных приложений, поддержка и переработка старых функциональностей, развитие архитектуры и инфраструктуры мобильных приложений. 🧩 Требования: опыт командной разработки от 3 лет;

🧩 Требования: опыт промышленной разработки автотестов на Java от 5 лет, из них последние 3 года — на Java;

🧩 Требования: промышленный опыт от 5 лет в data engineering или backend-разработке с сильным дата-уклоном — production-системы под реальной нагрузкой и ответственность за их эксплуатацию;

Задачи: развитие DBaaS-платформы ClickHouse, создание и распространение лучших практик использования этой БД, устранение сбоев и улучшение производительности.

Location: GE; PL Workplace: remote Overview: We are looking for a Senior Ruby Developer to join a highly experienced engineering team working on complex, data-intensive systems. You will help design and build reliable, fault-tolerant solutions, take ownership of their performance in production, and solve challenging data and scalability problems. Purpose of the role: Design and improve scalable Ruby services for high-load, data-intensive systems. You will own solutions from implementation to production, troubleshoot complex issues, optimize application and database performance, and contribute to technical decisions and engineering practices. Key responsibilities: Work in a fully agile environment with senior engineers and product managers Participate in designing fault-tolerant, highly available and optimized solutions Monitor and optimize your services in production for excellence Research and develop new technologies and tools Collaborate with other teams – product, infrastructure and business Required Experience: Minimum 5-year experience in software development Solid Ruby programming skills Hands-on experience with data-intensive applications development & performance tuning Experience in developing complex solutions from scratch Strong SQL skills and solid understanding of relational databases, with the ability and curiosity to investigate complex data issues, analyze large datasets, and perform root-cause analysis Deep data structures, OOP, and algorithms knowledge Good communication skills Nice to have: Familiarity with ClickHouse Familiarity with AI-powered developer tools and practical experience integrating them into daily development workflows Experience with Kafka Ability to implement space and time-efficient algorithms and understand which one is preferable and when Readiness to learn other programming languages (e.g. Golang, Scala) Familiarity with SRE practices Familiarity with cloud native technologies (e.g. k8s, Helm, Prometheus) Our Benefits: Private health insurance Sports benefits Comprehensive Mental Health Program Free English lessons (online) Local language courses Paid time off Maternity leave support Referral program rewards Upskilling, internal workshops, and participation in professional conferences and corporate events Main Advantages Private health insurance Sports benefits Comprehensive Mental Health Program Free English lessons (online) Local language courses Paid time off Maternity leave support Referral program rewards Upskilling, internal workshops, and participation in professional conferences and corporate events

• В этой роли важно сочетать навыки Business Analysis и Project Management'a: общаться с клиентами.

Location: Georgia; Poland On behalf of Behavioral AI Solutions Client #1 , SD Solutions is looking for a talented Senior Data & AI Scientist to take ownership of two of our core behavioral-modeling efforts end to end: a user-conditioned Trader World Model that learns a high-fidelity latent representation of each trader and reproduces their multi-horizon behavioral distributions, and a large-scale sequence forecaster that predicts each user's next-horizon trading activity from their intraday behavior. SD Solutions is a staffing company operating globally. Contact us to get more details about the benefits we offer. This is a hands-on modeling role. You will own the full lifecycle—data, representation learning, training, large-scale experimentation, and rigorous evaluation—for transformer-based models trained on hundreds of millions of behavioral samples on GPU’s. We are specifically looking for candidates with practical experience training deep sequence and foundation models. This includes designing training pipelines, running large-scale experiments, modeling full behavioral distributions (not just point estimates), and understanding the real challenges of modern transformer training. This is not an AI integration or prompt engineering role. We are looking for engineers and scientists who have built, trained, and evaluated models themselves, and who hold their results to a high evidentiary bar. Responsibilities: Train, fine-tune, and evaluate transformer-based sequence models for behavioral prediction on large-scale trading data. Design feature representations and embedding strategies for structured, event-sequence behavioral signals. Model full multi-horizon behavioral distributions (activity, volume, PnL, exposure, hold time) rather than single point or label predictions. Build and beat a rigorous baseline ladder; design leakage-safe, chronologically split evaluation that earns each claim of improvement. Optimize large-scale GPU training pipelines (throughput, memory, dataloading, checkpoint/resume, cost) on Vertex AI. Collaborate closely with psychologists, bioinformaticians, AI engineers, and researchers to translate theory into production-grade AI systems. Requirements: Experience 6+ years of experience in Data Science, Machine Learning, or AI. Hands-on experience training deep sequence models (Transformers/attention) and/or fine-tuning foundation models. Strong experience with PyTorch and modern deep learning workflows (Lightning a plus). Experience with distributional and representation learning—modeling latent structure and full distributions, not just labels. Experience designing, running, and analyzing large-scale ML experiments. Demonstrated ownership of the complete modeling lifecycle, from data preparation through training, evaluation, and iteration. Technical Skills Expert-level Python. Strong understanding of deep learning, representation learning, and statistical modeling. Experience with high-dimensional and event-sequence / temporal datasets. Ability to design rigorous evaluation methodologies—chronological/held-out splits, leakage control, purge gaps, and honest baseline comparison. Comfort with cloud GPU training and its real-world failure modes (throughput bottlenecks, OOM, dataloader/prefetch, checkpoint/resume, cost control). Advantages: Zero-inflated / heavy-tailed / hurdle modeling and calibration for sparse targets. World-model or model-based / latent-transition (JEPA-style) modeling. Experience with financial, trading, or high-frequency behavioral data. Background in behavioral science, psychology, economics, or cognitive modeling. Experience with distributed GPU training (FSDP, DeepSpeed, Accelerate, DDP, etc.) and optimizing large-scale training workloads. Experience with LoRA, QLoRA, PEFT, RLHF, or other foundation model adaptation techniques. Publications or open-source contributions related to sequence models or foundation models. Who This Role Fits: Someone who genuinely enjoys training large AI models—not just integrating AI APIs. A researcher or engineer who likes experimenting with model architectures, training strategies, and evaluation methodologies. Someone who thinks in terms of representations, distributions, latent structure, and generalization. Someone who holds a high evidentiary bar—prefers a model that provably beats a strong baseline over an impressive-sounding architecture. A hands-on builder who enjoys working at the intersection of research and production. Someone excited to own a hard, open-ended behavioral-modeling problem from the ground up. About the company: We are is an innovative Behavioral AI Solutions company building the next generation of AI systems designed to understand and predict human behavior. NDA, Behavioral AI Solutions, develops proprietary Large Behavioral Models (LBMs) that go beyond traditional language models by predicting human decisions and actions across complex real-world environments. Its technology combines behavioral science, psychology, and advanced machine learning to create sophisticated predictive models. The team works across the full AI development lifecycle, including large-scale data curation, representation learning, model training, fine-tuning, evaluation, and deployment. NDA, Behavioral AI Solutions focuses on building transformer-based foundation models trained on massive behavioral datasets using advanced GPU infrastructure. Its solutions are designed to support high-impact applications across finance, defense, enterprise decision support, and other industries. The company brings together interdisciplinary experts to transform cutting-edge research into scalable, production-ready AI systems. By applying for this position, you agree to the terms outlined in our Privacy Policy. Please take a moment to review our Privacy Policy https://sd-solutions.breezy.hr/privacy-notice , and make sure you understand its contents. If you have any questions or concerns regarding our Privacy Policy, please feel free to contact us.

-Запуск продуктов и функций в формате MVP вместе с продактом: от идеи и проектирования до релиза и доработок по обратной связи.

Проектировать и развивать LLM-пайплайны для ИИ-помощника: диалоги, уточняющие вопросы, рекомендации, саммари, инсайты, объяснения медицинских данных простым языком. Разрабатывать агентные сценарии: сбор данных из внешних источников, валидация данных, обогащение профиля, уточнение рисков, подготовка данных к приёму врача, контроль следования рекомендациям.

Location: Berlin Office; Bosnia; Romania; Norway; Estonia; Latvia; Slovenia; Netherlands; Hungary; Portugal; Poland; Serbia; Germany; Austria; Finland; Albania; Lithuania; Slovakia; Ireland; Bulgaria; Denmark; Belgium; Czech Republic; United Kingdom; Croatia; Spain; Greece Workplace: Remote The AI orchestration of your wildest imagination. n8n is the open workflow orchestration platform built for the new era of AI. We give technical teams the freedom of code with the speed of no-code, so they can automate faster, smarter, and without limits. Backed by a fiercely inventive community and 500+ builder-approved integrations, we’re changing the way people bring systems together and scale ideas for impact. Since our founding in 2019, we’ve grown into a diverse team of over 260 - working across Europe and the US, connected by a shared builder spirit and with our centre of gravity in Berlin. Along the way, we’ve: - Cultivated a community of more than 650,000 active developers and builders - Earned 190K+ GitHub stars, making us one of the world’s Top 40 most popular projects - Backed by top investors, from Sequoia’s first German seed to our SAP's recent strategic investment - bringing us to a $5.2bn valuation That’s the company we’ve built. Now we’d love to see what you can build. If you’re applying, try n8n out - whether you’re technical or not - and share a screenshot of your first workflow with us. The easiest place to start is here: app.n8n.cloud/register http://app.n8n.cloud/register. We’re in a defining moment of an incredible journey. Come and build with us. AI is now part of almost every workflow built on n8n. But before a new user can build their first AI automation, they often hit a wall: sign up with a model provider, create an API key, add billing, and paste credentials into n8n. Many people never get past that step. The Relay team removes that wall. With Gateway credits, n8n Cloud users get leading AI models and services such as web search, scraping and document parsing built in, with no keys to manage. A new user can open a template or ask the AI assistant to build something, and it just works on day one. MAKE DAY-ONE SUCCESS THE DEFAULT - Own the Gateway credits experience end to end: from sign-up to first successful AI workflow or Agent, to ongoing usage. - Remove credential friction across the product. Work with the Growth, Agents and n8n Assistant teams so new users land on services that work out of the box. - Decide which models and services we offer, and how we price and package them for users.. BUILD AND RUN PROVIDER PARTNERSHIPS - Own relationships with model and tool providers, from first conversation to signed deal. - Lead commercial negotiations, including volume commitments, pricing and terms. - Partner with Finance on commitment approvals and consumption forecasting. - Decide when to add, expand or drop a provider, based on user demand, quality and cost. SHAPE THE ENTERPRISE AI GATEWAY - Lead discovery with enterprise customers and prospects: platform teams, IT and security leads, and AI owners. - Turn what you learn into a clear product strategy, and be honest about what to build, what to pause and what to stop. - Define the core capabilities: virtual keys, budgets and spend limits, model access policies, usage reporting and audit. - Consider how the gateway works for self-hosted and Cloud customers. Work closely with engineering and our Cloud team on deployment questions. - Help define how the enterprise gateway is packaged and sold, together with Sales, Finance and leadership. LEAD ACROSS TEAMS - Work with a dedicated engineering team, and with design, as one product team. - Coordinate with teams that own nearby areas, such as identity and access management, governance, billing and the Cloud experience. - Keep leadership, Sales and Customer Success informed, and bring them clear recommendations. REQUIREMENTS MUST-HAVES - Experience as a PM for AI infrastructure, developer platforms or LLM tooling (for example AI gateways, model APIs, or AI platform products), or for enterprise admin and governance products (for example access control, policy, spend management or audit). - Hands-on experience with partner or vendor deals: you have negotiated terms, not only managed relationships. - A strong grasp of usage-based pricing, unit costs and consumption forecasting. - Comfort talking with enterprise buyers: platform engineers, security teams and IT leaders. - Builder mindset: You’re entrepreneurial and hands-on, and you enjoy moving from an ambiguous problem to a prototype, shipped product, and iteration quickly. - Technical fluency: You’re comfortable reasoning about APIs, integrations, authentication, schemas, data flows, and system constraints and can partner deeply with engineers. - Data fluency: You can define meaningful success metrics, investigate product behaviour and funnels, and combine quantitative evidence with qualitative insight and product intuition NICE-TO-HAVES - You have built or run an LLM gateway or proxy, or worked closely with tools like LiteLLM, Portkey or similar. - Experience with products that run both self-hosted and as SaaS. - You’ve built products for technical users and understand what great developer and builder experiences look like. - You’ve worked on products involving third-party APIs, authentication, developer platforms, or integration ecosystems. - You’ve built products alongside developer communities, contributors, or external ecosystems. Why join us? At n8n, you’ll work on the heart of the product experience - shaping how builders go from an idea to a workflow they trust in production. Your work will influence some of the most fundamental parts of n8n: how people build, connect services, access powerful capabilities, understand what’s happening in their workflows, and scale from simple automation to complex AI-powered systems. You’ll join n8n at a stage where the product and company are scaling rapidly, but there is still enormous opportunity to define what a world-class automation building experience should feel like. You’ll have the autonomy to identify important problems, work deeply with users and technical teams, and turn ambitious ideas into product experiences people rely on every day. Sound like a challenge you’re excited to take on? Apply now - and help us build the future of automation n8n is an equal opportunity employer and does not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, or disability status. We can sponsor visas to Germany; for any other country, you need to have existing right to work. Our company language is English. You care about diversity and inclusion? We do too! Check out our Diversity, Inclusion and Belonging initiatives at n8n https://www.notion.so/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35?pvs=21 (https://www.notion.so/n8n/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35). Location disclaimer: If you see multiple job postings for the same role, it is most likely because we're hiring remotely for this role and posting in different locations to make sure every potential candidate can see the role. Please apply to the location you're the most likely to work from in the future. BENEFITS - Competitive compensation 💸 – We offer fair and attractive pay. - Ownership 💪 – Our core value is to “empower others,” and we mean it—you’ll get a slice of n8n with equity. - Work/life balance 🏖️ – We work hard but ensure you have time to recharge: - Europe: 30 days of vacation, plus public holidays wherever you are. - US: 20 vacation days, 8 sick days, plus public holidays wherever you are. - Health & wellness 🩺 – - Europe: We provide benefits according to local country norms.* - US: Multiple low-premium, low-deductible medical plans with coverage for individuals and families—plus a no-cost premium HDHP option with a pre-seeded HSA—along with dental and vision coverage. - Future planning 💰 – - Europe: We provide pension contributions according to local country norms.* - US: 401(k) retirement plan with a 4% employer match. - Financial security 🛡️ – - Europe: We provide benefits according to local country norms.* - US: Company-paid short-term and long-term disability insurance, plus life insurance to support you and your loved ones. - Career growth 📈 – We hire rising stars who grow with us! You’ll get €1K (or equivalent) per year to spend on courses, books, events, or coaching to level up your skills. - A passionate team 🤩 – We love our product, and we prove it with regular hackathons where we see who can build the coolest thing with it! - Remote-first 🌏 – Our team works remotely across Europe, with regular off-sites for team bonding. Some roles, like sales in the US, are hybrid—please check the job description. - Giving back 🤝 – We're big fans of open source, and you'll get $100 per month to support projects you care about. - Transparency 🙏 – We all know what everyone’s working on, how the company is doing—the whole shebang. *Country and/or State specific details provided in your employment agreement.

Location: Remote, India GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Senior Solutions Architect on GitLab's India team, you'll be a trusted advisor to prospects, customers, and partners across India. You'll help them understand how GitLab's AI-powered DevSecOps platform addresses technical requirements and business goals across the software development lifecycle. This role supports Commercial and Enterprise segments in India's Southern Region. Experience with Global Capability Centers (GCCs), Digital Native organizations, and startups is highly valued given the accounts you'll support. You'll partner closely with Account Executives and cross-functional teams to own technical evaluations, including proofs of value and workshops, shape solution architectures, and bring customer feedback to Product Management. You'll also occasionally support regional go-to-market partners that provide Professional Services. Your work will help customers adopt GitLab successfully, support revenue growth through solution selling, and build long-term, trusted relationships. What you’ll do Lead technical discovery, demonstrations, and validation to show how GitLab's AI-powered DevSecOps platform meets customers' technical and business needs across the software development lifecycle. Own the technical evaluation process, including solution design, proofs of concept or value, workshops, and technical contributions to tenders, audits, and value stream assessments. Collaborate with Account Executives and regional sales teams across Commercial and Enterprise segments to shape account strategies for new customer acquisition and expansion, with a focus on GCC, Digital Native, and startup accounts. Support regional go-to-market partners that provide Professional Services, helping them deliver consistent technical guidance and apply effective practices during partner-led engagements. Represent GitLab at online and in-person marketing events, including webinars, industry events, presentations, roundtables, panels, demonstration days, and hackathons. Build trusted relationships with technical practitioners and business leaders, guide GitLab-driven transformation, and help customers become GitLab advocates. Advise customers on modern software development, continuous integration and continuous deployment (CI/CD), security, and cloud practices to improve their return on investment. Share customer feedback, use cases, and competitive insights with Product Management, Engineering, Sales, and Marketing while continuing to build expertise and reusable guidance in GitLab, DevSecOps, AI, and cloud technologies. What you’ll bring Experience guiding Commercial and Enterprise customers through solution design and evaluation in technical presales, consulting, or a similar role. Experience working with India's GCCs, Digital Native organizations, and startups is highly valued. Knowledge of the end-to-end software development lifecycle, including modern DevSecOps practices and CI/CD workflows. Hands-on experience with GitLab or comparable source control, CI/CD, and collaboration platforms, with the ability to connect platform capabilities to customer use cases. Practical knowledge of cloud computing concepts and related technologies, including deployment, security, and operations options. Ability to lead proofs of concept or value, contribute to tenders or audits, and design and run workshops or value stream assessments. Clear technical communication and presentation skills, with the ability to adapt your message for practitioners and senior business and technical decision-makers. Skill in building trusted relationships, listening with empathy, advocating for customers, collaborating with go-to-market or Professional Services partners, and continuously learning new technologies. About the team The Solutions Architect team is part of GitLab's Sales organization and serves as the technical counterpart to Account Executives. This role focuses on Commercial and Enterprise opportunities across India's Southern Region and works with Account Executives, the broader go-to-market team, and regional partners that provide Professional Services. The team advises on architecture, runs technical evaluations such as proofs of value, and guides customers through digital transformation. We collaborate asynchronously with Sales, Product Management, Engineering, and Marketing to share effective practices, create reusable technical resources, and represent the voice of the customer. Our focus is helping customers modernize software delivery, adopt GitLab at scale, and navigate a changing AI and DevSecOps landscape. 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 .

🚀 I’m hiring Senior AI Product Managers for the Growth team at Zego, the UK’s first insurtech unicorn, with roles open in London or Portugal. We need Senior PMs who can own a growth domain and run a real test-and-learn engine across the funnel.

✅ Hands-on experience with manual testing on mobile (iOS/Android), web applications & REST APIs.

Location: United Kingdom, London 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. Role Overview: The PlayStation Store and Commerce platform sits at the center of how millions of players around the world discover, purchase, and engage with PlayStation content.  Our Technical Operations organization is responsible for ensuring these experiences remain highly available, resilient, performant, and ready to support some of the largest entertainment launches in the world. We are looking for a Senior Engineering Manager to lead our Discover Operations (Site Reliability Engineering - SRE) and Sustainability Engineering teams, combining SRE, operational excellence, and full-stack software engineering to improve both the day-to-day reliability and long-term sustainability of the PlayStation platform. As Senior Engineering Manager, you will lead a team of Site Reliability and Software Engineers responsible for the reliability, resilience, and sustainability of critical services supporting the Discover experience across the PlayStation ecosystem and beyond. Your teams will partner closely with product engineering, architecture, security, program management, and other technical operations teams to ensure our platforms are prepared for both everyday customer demand and major global business events. This role goes beyond traditional production operations. You will help evolve how we operate our platforms,  moving from reactive support toward proactive, data-driven, and increasingly adaptive operations leaning into the latest technology trends such as machine learning and AI. You will also lead our Sustainability Engineering efforts, leading full-stack development teams to modernize and sustain critical customer experiences across PlayStation platforms while reducing operational complexity, technical debt, and long-term risk. What You’ll Be Doing: Own the reliability, availability, performance, and operational health of customer-facing PlayStation Store platforms, including Catalog, Entitlements, Search, and Storefront experiences. Establish and evolve SRE practices across observability, SLOs, capacity, resilience, automation, incident management, and operational readiness. Partner with development teams to build reliability and operability into the software lifecycle, improving production readiness and reducing operational risk. Lead operational readiness for major launches, seasonal events, and high-traffic business moments, ensuring platforms are tested, scaled, monitored, and prepared. Drive continuous improvement through incident learning, automation, and systemic remediation, reducing operational toil and improving platform resilience. Lead Sustainability Engineering and modernization efforts, addressing technical debt, lifecycle management, and legacy technology retirement. Leverage telemetry, operational data, and emerging AI/ML capabilities to identify risk and advance proactive, adaptive operations. Develop engineering roadmaps balancing immediate operational needs with long-term reliability, modernization, and sustainability investments. Recruit, mentor, and develop engineers and engineering leaders while fostering a culture of ownership, technical excellence, continuous improvement, and customer focus. Build strong cross-functional partnerships and clearly communicate technical health, risk, priorities, and investment needs to engineering and senior leadership. What We’re Looking For: Significant experience leading software engineering, SRE, production engineering, or technical operations teams supporting large-scale distributed systems. Demonstrated experience managing and developing high-performing teams, including line managers, senior, and staff-level engineers. Strong understanding of SRE principles and practices, including availability, SLOs/SLIs, observability, incident management, capacity planning, resilience, and automation. Experience operating high-volume, customer-facing platforms where reliability and performance directly impact customers and the business. Strong technical background with the ability to engage with engineers and architects on system design, scalability, reliability, and operational tradeoffs. Experience partnering with software development teams to improve operability, production readiness, and resilience throughout the software lifecycle. Proven ability to lead through complex production incidents and drive systemic improvements through post-incident learning. Experience developing and executing multi-quarter technical strategies and engineering roadmaps. Strong communication and cross-functional leadership skills, with the ability to translate complex technical issues and risks for technical and executive audiences. Experience with cloud-native technologies such as AWS, Kubernetes, Terraform, CI/CD platforms, and modern observability tooling. Nice to Have: Experience supporting commerce, e-commerce, payments, digital storefronts, or large-scale consumer platforms. Experience leading modernization or Sustainability Engineering programs for mature or legacy platforms. Experience designing or operating multi-region, highly available distributed architectures. Familiarity with security, compliance, vulnerability, and operational risk management at scale. Experience applying AI/ML, intelligent automation, or advanced analytics to operational engineering challenges. Experience preparing platforms for major global events and unpredictable traffic patterns. 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 (where applicable) 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.

Location: Москва Workplace: Комбинированный Мы ищем Go-разработчика как для развития существующих решений, так и для создания абсолютно новых. Разработчик будет участвовать в создании масштабируемых продуктов с ориентацией на пользователей. Вам предстоит работать в кросс-функциональной команде, совместно принимать технические решения и участвовать в обсуждении продуктовых. Мы развиваем платформу потоковой обработки данных поверх YTsaurus (YT) с поддержкой гарантий exactly-once. Продукт позволяет надёжно обрабатывать потоки данных и строить на их основе критичные для бизнеса пайплайны. Команда отвечает за весь пользовательский путь продукта: разрабатывает интерфейс и пользовательские фичи, развивает обсервабилити и инструменты мониторинга, занимается надёжностью системы и её эксплуатацией, а также отвечает за деплой и доставку изменений. У вас будет возможность влиять не только на отдельные фичи, но и на то, каким в целом будет продукт. Задачи Проектирование и разработка новой функциональности существующих сервисов Разрабатывать и развивать backend-сервисы платформы на Go Работать с production-контуром: мониторинг, метрики, логирование, диагностика инцидентов, эксплуатационные улучшения Кросс-командные взаимодействия над продуктовыми и техническими треками Придумывание отказоустойчивых, масштабируемых решений с хорошим observability Требования Опыт коммерческой backend-разработки от пяти лет Уверенный опыт разработки на Go или очень близкий опыт с готовностью быстро перейти на Go Понимание сервисной архитектуры и практический опыт разработки production-сервисов Хорошее знание многопоточности, параллельных вычислений, конкурентного доступа к данным, graceful shutdown и работы с контекстами Опыт проектирования API и межсервисного взаимодействия Опыт работы с базами данных: проектирование схем, написание запросов, понимание индексов, транзакций и миграций Понимание принципов построения отказоустойчивых и масштабируемых систем Важно понимать принципы работы LLM и иметь практический опыт их использования в разработке: для анализа кода, проектирования решений, ускорения реализации и повышения личной эффективности Умение понятно коммуницировать и договариваться с командой и смежными подразделениями

Location: London, United Kingdom Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our EMEA Data Science organisation sits at the heart of Deliveroo and Wolt, powering decision-making across product, commercial and operational teams through experimentation, causal inference and deep business understanding. As part of DoorDash, our EMEA Data Science team brings together colleagues across Deliveroo and Wolt, creating opportunities to learn from different markets and tackle complex local-commerce challenges. We’re looking for a Senior Data Science Manager to shape data science strategy across a broad area of our Logistics organisation. You’ll combine strong people leadership, technical judgement and commercial thinking to help our teams make better decisions and deliver measurable business impact. About The Logistics Team Logistics makes our marketplace work in the real world: connecting riders with orders and helping deliveries happen efficiently and reliably. The organisation works on problems such as predicting demand, improving delivery-time estimates, and matching orders with riders, all in an efficient way to ensure we can offer the most affordable pricing to our customers. These are interconnected challenges. Decisions about supply, incentives and network efficiency can affect consumers, riders and restaurant and retail partners at the same time. Data Science helps us understand those relationships, test new approaches and balance delivery reliability, rider experience and sustainable business economics. It’s an environment where rigorous experimentation meets real-world complexity, and where your team’s work can shape both everyday operational decisions and longer-term product strategy. What You’ll Be Doing You’ll own the data science direction and measurable impact of a broad Logistics problem space spanning multiple cross-functional teams. You’ll: Set strategy and priorities with Product, Engineering and Operations leaders, focusing investment on the highest-impact opportunities across immediate needs and longer-term goals. Build and develop a high-performing, inclusive team through hiring, coaching and performance management, growing leaders who can deliver independently. Guide solutions to complex marketplace challenges, from balancing supply and demand to evaluating incentives and improving delivery performance and economics. Set the technical bar for experimentation, causal inference and analysis, staying close enough to challenge approaches and ensure decisions reflect real marketplace effects. Influence senior stakeholders and align teams around shared outcomes, resolving competing priorities and turning evidence into product and operational decisions. Directly lead projects that resolve highly complex challenges, which often span across multiple parts of the business and unlock new vectors of impact, boosting company-level goals. What You’ll Need to Thrive Our ideal candidate will bring: A track record of leading and developing high-performing data science or closely related analytical teams, with responsibility for complex work spanning multiple teams or business areas. Experience setting analytical strategy and allocating people and effort across competing priorities, with clear evidence of product, operational or commercial impact. Strong technical foundations in experimentation, causal inference and statistical analysis, with the judgement to select appropriate methods, challenge conclusions and coach experienced practitioners. The ability to reason about interconnected systems and trade-offs, including how an intervention in one part of a marketplace can affect outcomes elsewhere. Experience influencing senior cross-functional leaders, aligning teams around shared goals and turning complex evidence into clear, actionable recommendations. A thoughtful approach to building teams: hiring, coaching, managing performance and developing future technical and people leaders. Comfort creating structure in ambiguous environments, making pragmatic decisions with incomplete information and adapting as new evidence emerges. Experience developing other people managers would be particularly valuable. Experience in marketplaces, logistics, mobility, pricing, incentives or other operationally complex businesses is helpful, but not essential. We also value leaders who can bring relevant approaches from other domains. You don’t need to have worked on every problem listed here. We’re interested in the depth of your leadership, the quality of your judgement and the impact you enable through others. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .