Вакансии

Location: Zürich, CH About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The IT Operations team keeps Anthropic running. We want every employee to do their best work without friction. We're hiring an IT Support Engineer who pairs strong technical skills with a service mindset and good judgment. Anthropic is growing fast, and IT needs to keep pace. That means onboarding at scale, automating repetitive work (including with Claude), and improving the day-to-day employee experience. You'll handle support across our mostly macOS environment and help with the operational work that lets us scale. You'll work closely with IT Engineering and Security, with room to grow into more technical infrastructure work over time. This isn't a scripted support role. You'll have real ownership, use your judgment to improve our processes, and grow with the team as we scale. Key responsibilities Triage and resolve issues across hardware, software, networking, and accounts, mostly through our ticketing system, plus Slack and in-person Diagnose and fix issues across macOS, ChromeOS, iOS, Android, and our core SaaS platforms (Google Workspace, Slack, GitHub, Atlassian) Troubleshoot device issues, including enrollment, configuration profiles, and policy enforcement Support access management and employee lifecycle workflows (onboarding, offboarding, reorgs) Handle escalations that need cross-team coordination Join an on-call rotation for urgent issues outside business hours Provide hands-on support for user technology, AV systems, conference rooms, and printers Communicate clearly with users at every technical level Write and maintain internal documentation, including runbooks, how-to guides, and knowledge base articles Spot patterns in support requests, surface recurring issues, and flag opportunities to automate Help streamline onboarding and other high-volume operations as we scale Contribute to automation efforts Maintain and improve device management, identity, and access systems Write scripts (Bash, Python) to automate repetitive tasks Minimum qualifications Hands-on IT support experience, ideally in a fast-paced environment Experience supporting macOS endpoints, and comfortable supporting ChromeOS, iOS, and Android Experience with Google Workspace administration Experience with Slack administration, including workspace management, permissions, and troubleshooting Experience supporting and administering other SaaS tools Understanding of identity and access fundamentals: SSO, MFA, directory services Familiarity with MDM fundamentals and endpoint management concepts Basic scripting (Bash or Python) for automation Strong troubleshooting skills, with a methodical and persistent approach Clear communicator who enjoys helping people solve problems Take ownership of problems and follow through until they're resolved Preferred qualifications Familiarity with zero-trust security concepts and endpoint security tooling Networking basics: DNS, DHCP, VPNs Experience with IT projects beyond day-to-day support, such as migrations, tool rollouts, or process redesigns Experience using AI tools to improve personal or team productivity Interest in developing deeper technical skills and taking on more complex systems administration over time Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Montreal, Canada 📍 Location: Montreal, Quebec, Canada 📄 Employment Type: Contract to Perm 🏢 Work Arrangement: Remote set-up for US and Canadian citizen and relocation assitance and bonus for European and UK candidates 🚀 Start Date: TBD 💰 Compensation: TBD -- based on skills and experience Important Screening Requirements Must be legally eligible to work in Canada . Must be capable of obtaining the required security clearance . Candidates willing to permanently relocate to Montreal are strongly preferred. Strong written and verbal communication skills in English are required. French language proficiency is considered an asset. About the Role We are seeking a Senior Orbit Dynamics & Mission Analysis Engineer to lead advanced astrodynamics, orbit dynamics, trajectory optimization, and space mission design and analysis activities. This senior-level role will focus on solving complex orbital mechanics and mission analysis problems through advanced modeling, simulation, optimization, and technical analysis. The ideal candidate will work independently on challenging astrodynamics problems while leading technical analyses and trade studies supporting sophisticated space missions. Key Responsibilities Orbit Dynamics & Mission Analysis Perform advanced orbit dynamics and astrodynamics analysis for space missions. Conduct spacecraft trajectory design and optimization. Apply advanced orbital mechanics and perturbation theory to mission analysis. Perform orbit determination and estimation analysis. Evaluate and optimize mission trajectories using analytical and computational methods. Conduct mission design and architecture analyses across a range of mission scenarios. STK Modeling & Simulation Utilize Systems Tool Kit (STK) extensively for mission analysis and simulation. Apply advanced STK modules, including: Astrogator Optimizer Coverage Communications Develop STK automation and scripting solutions using APIs and STK Connect . Build and maintain mission analysis models and simulations to support technical decision-making. Engineering Tools & Software Develop advanced engineering analysis tools, models, and simulations using Python and MATLAB . Apply computational methods to solve complex astrodynamics and mission analysis problems. Support software development practices, including version control, testing, documentation, and CI/CD. Technical Leadership & Trade Studies Lead complex technical analyses and engineering investigations. Conduct multidisciplinary trade studies evaluating mission architectures and technical alternatives. Independently identify, analyze, and solve challenging astrodynamics problems. Present technical findings, recommendations, and analysis results to engineering stakeholders. Contribute technical expertise to mission design decisions and program development. Required Qualifications Master's degree in Aerospace Engineering, Astronautical Engineering, Physics, Applied Mathematics , or a closely related field. A Bachelor's degree with significant additional relevant experience, typically 9+ years , will also be considered. Minimum 7 years of professional post-graduation experience directly related to: Orbit dynamics Astrodynamics Trajectory optimization Space mission design and analysis Expert-level proficiency with STK , including Astrogator, Optimizer, Coverage, and Communications. Demonstrated experience with STK automation and scripting , including API and STK Connect. Advanced programming proficiency in Python and MATLAB , with experience developing engineering analysis tools, models, or simulations. In-depth theoretical and practical knowledge of: Advanced orbital mechanics Perturbation theory Orbit determination and estimation Trajectory optimization Gradient-based optimization methods Evolutionary optimization methods Proven ability to independently lead technical analyses and complex trade studies. Excellent analytical, critical-thinking, and problem-solving skills. Strong written and verbal communication skills in English. Preferred Qualifications Ph.D. in Aerospace Engineering or a closely related field with a focus on astrodynamics or orbital mechanics. Experience with additional mission analysis and simulation environments such as: GMAT FreeFlyer Orekit SPICE Experience with C/C++ programming. Experience with spacecraft Guidance, Navigation, and Control (GNC) analysis or design. Experience with multi-body dynamics. Experience supporting large satellite constellations. Experience with satellite operations, particularly flight dynamics activities . Experience with software development best practices, including Git, software testing, technical documentation, and CI/CD . Publications or conference presentations in astrodynamics, orbital mechanics, or related fields. What We're Looking For We’re looking for a senior astrodynamics and mission analysis expert who can independently tackle complex orbital mechanics problems and provide technical leadership on advanced space missions. The ideal candidate combines deep theoretical knowledge with hands-on experience using STK, Python, and MATLAB , along with a proven ability to turn sophisticated mission analysis problems into practical engineering solutions. Experience with advanced trajectory optimization, orbit determination, GNC, constellation dynamics, or flight dynamics operations will be highly valuable.

Требования: — Опыт применения Generative AI и LLM к задачам discovery Важно: — Только для кандидатов в Северной Америке

Задачи: — Администрирование и развитие корпоративной инфраструктуры. Требования: — Глубокий опыт с Windows/Linux-инфраструктурой; — Знание AD, GPO, VMware, Proxmox VE, RDS Farm, FSLogix; — Опыт работы с Bare Metal, Zabbix, DNS/DHCP, PowerShell; — Способность самостоятельно решать сложные технические задачи. Условия: — Удалённая работа (Online Office), график 5/2 с 09:00 до 18:00; — Локация: Грузия, Армения, Азербайджан, Кыргызстан, Узбекистан, Молдова, Украина.

Задачи: • Запуск и развитие канадской версии iGaming-платформы. • Управление AI-агентами и автоматизация процессов. • Разработка, интеграции, контроль качества данных и оптимизация платформы. Требования: • Практический опыт с Claude Code и AI-агентами. • Python, Django, React, Next.js. • Опыт с LLM, API, Playwright, Docker. • Английский для работы с документацией. • Самостоятельность и системное мышление. Условия: • Удалённый испытательный срок → релокация на Кипр. • Полный релокационный пакет. • Конкурентная зарплата (индивидуально). • Оплата всех необходимых AI-инструментов. • Быстрый рост до Head of AI Development с возможностью возглавить направление.

Задачи: — Запуск и развитие канадской версии iGaming-платформы. — Управление AI-агентами и автоматизация процессов. — Разработка, интеграции, контроль качества данных и оптимизация платформы. Требования: — Практический опыт с Claude Code и AI-агентами. — Знание Python, Django, React, Next.js. — Опыт с LLM, API, Playwright, Docker. — Английский для работы с документацией. — Самостоятельность и системное мышление. Условия: — Удалённый испытательный срок с последующей релокацией на Кипр. — Полный релокационный пакет. — Конкурентная зарплата (обсуждается индивидуально). — Оплата всех необходимых AI-инструментов. — Возможность быстрого карьерного роста до Head of AI Development с руководством направлением.

Задачи: — Ведение оценки опасностей — Создание систем безопасности лаборатории — Поддержка автономных операций

Задачи: — строить надёжную инфраструктуру самообслуживания — эксплуатировать регулируемые платёжные системы

Location: Sofia About us The Financial Times is one of the world’s leading news organisations, globally recognised for its authority, integrity and accuracy, with a mission to deliver quality information and services worldwide. At the FT, curiosity thrives and ambitious thinking is rewarded. Here, you’re given the chance to reach millions, create work that matters and deliver impartial journalism in a polarised world. In our warm, collaborative culture, you’ll connect with a diverse community of experts who support your growth, career aspirations and wellbeing. Your future at the FT will be filled with opportunities that challenge and inspire you. With no fixed path, you’ll discover new skills and forge a career that can take you anywhere. Build a newsworthy career at the FT. Our commitment to diversity, equity and inclusion We believe everyone should have a fair opportunity to contribute, succeed, and reach their full potential. That means ensuring everyone is heard, respected, and valued, while identifying and removing barriers that may get in the way. Our commitment is to be an employer role model, grounded in inclusion and fairness for all.We want every application to receive fair and thoughtful consideration; therefore, all applications are reviewed by a member of our recruitment team, not by AI. The role The Analytics Engineer is responsible for bridging the gap between data engineering and data analytics by maintaining and developing scalable data models and solutions that support finance, B2B, and B2C teams. The role plays a key part in delivering value through modern data stack technologies (including dbt), supporting cloud migration efforts, ensuring data quality, and maintaining the performance of analytical data pipelines. Key responsibilities Collaborate with stakeholders across departments to design and implement robust data models and BI solutions. Build, test, and maintain data transformations using dbt (data build tool). Implement software engineering best practices for data, including version control, CI/CD, and automated testing. Deliver day-to-day support and project-related tasks for the data and BI infrastructure. Develop and maintain scalable, maintainable, and well-documented data pipelines. Identify and resolve issues across ETL/ELT processes and data pipelines. Required skills and experience Essential 3+ years of experience in Analytics Engineering, BI, or Data Engineering roles. Strong proficiency in SQL, including complex queries and performance tuning. Hands-on experience with dbt for data transformation and modeling. Understanding of data migration to cloud platforms such as AWS (Redshift) or GCP (BigQuery). Familiarity with database design, version control (e.g. Git/GitHub), and CI/CD practices. Experience with ETL/ELT tools (e.g. Airflow,DBT). Personal skills Strong analytical thinking and problem-solving abilities. Effective communication skills and ability to collaborate across teams. Attention to detail and focus on continuous improvement and data quality. Adaptability to fast-paced environments. Often used technology stacks and tools Databases & Data Warehouses: AWS Redshift, BigQuery, MS SQL Server. Data Transformation: dbt (data build tool). ETL & Data Processing: Airflow. BI & Data Visualization Tools: Looker. Programming & Scripting: SQL, Python. Version Control & DevOps: GitHub, CI/CD pipelines. Cloud Platforms: AWS, GCP. What’s in it for you? Our benefits Annual bonus scheme 25 days paid leave 24/7 Employee Assistance Program Life Insurance Enhanced Parental Leave policy Food Allowance Multisport Card Both in house and external training programs Your own training dedicated budget (for conferences, courses etc.) We currently operate a hybrid model which requires staff to work onsite 50% of the time, subject to role requirements & regular review. While flexible working requests will be considered, not all patterns are suitable for all roles. We believe this balanced approach supports flexibility and protects our culture, making collaboration and communication easier, building stronger relationships and team cohesion, and supporting peer learning.  We reserve discretion on reasonable notice to change this approach either generally or for specific individuals or teams. Accessibility We are a disability confident employer and Valuable 500 signatory. Please let us know if you require any reasonable adjustments/personalisation as part of the application process or to enable you to attend an interview. If you would like to discuss your requirements or have any questions, email talent@ft.com and a member of our team will be happy to help. Further information At the FT, we embrace innovation and the use of technology and appreciate that individuals may leverage AI tools as part of their job application process. Whilst we are happy for you to use AI to assist with your application, it is essential that all information provided is authentic and accurately represents your skills, experience, and qualifications. Candidates should be aware that the use of AI throughout the application process may be monitored to ensure a fair and transparent hiring process for all. Please beware of fraudulent job postings and offers claiming to be from the Financial Times. All legitimate opportunities will direct you to apply through the official Financial Times careers site, and the FT will never ask for financial information, payments, or referrals to third parties during the hiring process. If you have any concerns about the legitimacy of a job posting or suspect any scam activity, please contact talent@ft.com. Interested in the FT but don’t see the right role yet? Join our Talent Community to receive exclusive updates, featured jobs, and insights into working at the FT. #LI-MG1

Location: AU: Melbourne: (260 Burwood Rd) Workplace: Hybrid SENIOR ENGINEER, SALESFORCE PLATFORM THE ROLE AND ITS IMPACT Xero's Salesforce platform powers our go-to-market solutions and is increasingly the core infrastructure for our agents. As a senior engineer, you'll spend most of your time in hands-on work: writing and reviewing code, joining design reviews, responding to incidents and building proofs of concept. You'll help shape how the platform is secured, released and operated. Your impact is measured in results. Today the platform runs at 99.95% uptime, with 100% path-to-production compliance, zero Sev 1 or Sev 2 incidents and 150 to 200 deployments a month. You'll help maintain that standard as the platform scales significantly. This role lets you Go Bold by challenging how the platform is built, Go Fast by removing friction to production, Go Further by building things that last and Go Together by lifting capability across every team that depends on you. THE TEAM AND HOW THEY CONNECT The Platform team sits within Customer Platforms, the engineering group behind Xero's go-to-market and customer experience technology. You'll work closely with engineering leaders across Security, Data and AI, and with colleagues across Australia, New Zealand and our offshore partners. THE TEAM IS CURRENTLY WORKING ON - Platform security: access control, Connected Apps governance and vulnerability remediation, setting the standards that make secure the default. - CI/CD and release engineering: championing automation so every engineer building on the platform can ship safely and quickly. - Observability and operational health: growing observability, managing org limits and preventing customer-facing issues before they start. - Agent path-to-production: building a safe route from idea to production for agentic changes, including evaluation baselines, an agent registry and shared standards. This is a new area with no established playbook, so you'll help write it. WHERE AND HOW YOU CAN WORK Based in Melbourne, we encourage one day a week in the office to stay connected with your peers. The pods you support are spread across Australia, New Zealand and offshore, so you'll be comfortable building trust and aligning people asynchronously and in writing. HERE ARE SOME OF THE THINGS WE ARE LOOKING FOR - You bring hands-on Salesforce development depth at enterprise scale, from code and reviews through to production support, with a platform engineering mindset. - Your background includes owning CI/CD pipelines and release engineering across major release cycles, with GitHub, SFDX and test automation experience. - You've secured platforms that other teams depend on, and you've turned post-incident reviews into lasting change. - You can make code and design decisions across multiple teams, and you write RFCs and design docs that build alignment through persuasion rather than authority. - You help senior engineers grow through code review standards, and you use AI tooling fluently while evolving your own practice as the tools change. - You turn business goals into technical plans with Product, and you're comfortable pushing back on unclear scope.

Задачи: — Build RAG pipelines, semantic/vector search, conversational AI, and intelligent assistants. — Develop recommendation, ranking, classification, and predictive ML models. — Own end-to-end ML pipelines from data processing and training to deployment and monitoring. — Build MLOps / GenAIOps workflows, CI/CD, GPU inference, and cloud-native AI infrastructure. — Work with Product and Engineering to measure business impact through KPIs and experiments. — Improve AI system scalability, reliability, cost, governance, and performance. Требования: — 4–5+ years in AI, ML, or Data Science. — Strong Python, SQL, and production ML experience. — Hands-on experience with LLMs, Transformers, embeddings, RAG, and prompt engineering. — Experience with PyTorch/TensorFlow, Hugging Face, LangChain/LlamaIndex. — Strong knowledge of Docker, Kubernetes, MLflow/W&B, CI/CD, AWS, and Terraform. — Experience with Kafka, ETL pipelines, vector databases, and search systems. — Ability to independently take AI projects from idea to production. Плюсом будет: — Experience with A/B testing, responsible AI, recommendation systems, regulated environments, or team leadership. — Candidate should be able to work on US time schedule. — Good English conversation skill is much much preferred.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Developers and enterprises build on Claude through the Claude Platform. Our models are getting exponentially more intelligent, and our APIs and developer tools need to evolve just as quickly so developers can take advantage of that intelligence safely. We're hiring Engineering Managers to lead teams that build these APIs and developer tools. We are shipping APIs and infrastructure for building and running agents in production. These APIs ship alongside SDKs, docs, and tooling that developers (and agents!) utilize in order to build high quality integrations. These abstractions are backed by our identity, verification, and trust platform, which lets us scale access to Claude responsibly. Key responsibilities Lead a team of engineers to ship high quality work quickly, owning planning, prioritization, delivery, and operational health Partner with product to set your team's roadmap, and bring a strong point of view on what developers need Talk to customers directly and turn what you learn into engineering priorities Guide API design and architecture decisions for distributed systems that have to stay reliable as usage grows Work closely with Research, Safeguards, Security, and go-to-market teams to bring new model capabilities to developers safely Recruit, coach, and grow strong engineers Minimum qualifications You have experience managing high-performing software engineering teams shipping developer products, including hiring, coaching, and performance management You're product-minded and customer-oriented. You care about who uses what your team builds, and you've shaped roadmaps alongside product partners You've built and scaled distributed systems in production, and you have the technical depth required to guide architecture and API design You've led teams that ship quickly and hold a high quality bar You collaborate well across functions and can align teams you don't manage You care about Anthropic's mission and about developing AI safely Preferred qualifications Experience building agent infrastructure or products on top of LLMs Experience with identity, verification, access control, or trust and safety systems Deadline to apply: None. Applications will be reviewed on a rolling basis. Location Preference: Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Требования: — MTech или BTech в области электронной инженерии или компьютерной инженерии — Опыт работы в полупроводниковой отрасли не менее 2 лет

Location: Sydney, Australia Riot Games is looking for a Systems Engineer to join the Game Operations team supporting Wild Rift. You will help operate and improve the infrastructure, services, and tools that support reliable live-service operations for the game. This is a hands-on role focused on automation, production support, incident response, observability, data integrity, and continuous improvement. You will work with engineering, platform, data, and operations teams to reduce risk, improve efficiency, and protect player experience. Internal Job Title: Systems Engineer II. Responsibilities: Operate and improve the production infrastructure, cloud services, data platforms, and operational systems that support Wild Rift. Build automation and tooling for deployments, migrations, validation, capacity management, and routine operations. Troubleshoot distributed systems and participate in incident response, root-cause analysis, and follow-up improvements. Support releases and operational changes while maintaining service continuity and data integrity. Improve monitoring, alerting, dashboards, runbooks, and other operational documentation. Identify opportunities to improve reliability, scalability, capacity, and infrastructure cost. Collaborate with global technical partners and provide day-to-day support and guidance to operations teams. Required Qualifications: BS in Computer Science or equivalent experience, RHCE, RHCSA. 2+ years of industry experience or an advanced degree. Professional experience in systems engineering, infrastructure engineering, site reliability engineering, software engineering, or a related field. Experience supporting production services, preferably in a high-availability or live-service environment. Working knowledge of Linux, networking, cloud infrastructure, storage, compute, and distributed systems. Experience with AWS Cloud and/or Tencent Cloud. Ability to write maintainable automation or production code in Python, Go, Java, or a comparable language. Working knowledge of SQL and data-platform concepts, including data movement, replication, validation, and operational integrity. Familiarity with Git-based configuration management, infrastructure as code, or deployment automation. Experience with monitoring, alerting, incident response, and root-cause analysis. Strong communication, collaboration, and documentation skills. Professional fluency in Mandarin and English, with the ability to work across time zones and technical disciplines. Desired Qualifications: Experience with distributed data technologies, object storage, Kubernetes, Redis, OpenSearch/Elasticsearch, or similar platforms. Experience supporting high-volume online services, game telemetry, or player data. Experience with capacity planning, cloud cost optimization, or infrastructure decommissioning. Experience working in a multi-region or follow-the-sun operations environment. Interest in games and the relationship between technical systems and player experience. Our Perks: At Riot we strongly believe in work / life balance, and we encourage that with our open paid time off policy, paid parental leave (for both primary and secondary carers) and flexible work schedules to fit your lifestyle. We also believe that work should be fun, we have co-op gaming areas, a play fund so you can broaden and deepen your knowledge of players and community, and all the snacks you would ever need to power through your day (even healthy snacks!). And that’s not all we offer, there’s also: Medical Insurance that covers you and your dependents Employee Assistance Program Wellness fund Donation matching of time and money to registered charities Learning and Development opportunities Riot Games fosters a player and workplace experience that values teamwork embodied by the Summoner's Code and Community Code . Our culture embraces differences as a strength, and our values are the guiding principles for how we approach work. We are committed to putting diversity and inclusion (D&I) at the center of everything we do and promoting a fair and collaborative culture where Rioters treat one another with dignity and respect. We encourage you to read more about our value of thriving together and our ongoing work to build the most inclusive company in Gaming .

Location: Singapore Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. Your future role within QRT Provide first- and second-line support for LLM gateway platform, investigating and resolving issues raised by engineering and business users across the firm Monitor and maintain the platform's underlying infrastructure to ensure availability, stability and predictable performance under rapidly growing load Support and troubleshoot model-serving backends and provider integrations, model providers, covering latency, throughput, error-rate and capacity issues Triage incidents affecting model availability — provider instability, connection resets, timeouts, regional slowness — determine whether the cause is platform-side or upstream, and drive to resolution with vendors where required Support the tooling layer built on top of LLM gateway: integrations, developer workspaces (e.g. Coder), coding assistants and API clients, including diagnosing issues introduced by upstream vendor releases running against a gateway-fronted API Coordinate with platform engineering, cloud infrastructure and end-user teams to resolve incidents and minimise disruption Support release management and change processes to keep production stable, including staged rollouts, non-prod validation and rollback Build tooling and automation to improve monitoring, diagnostics and operational visibility, and to reduce repetitive manual work Contribute to the design and implementation of monitoring, dashboards and alerting — for example extending Grafana dashboards covering TTFT, TPOT, percentile latency and failure-rate reporting Own and improve operational documentation, runbooks and user-facing status communication Your present skillset Experience in a production support, SRE or platform operations role within a fast-paced environment, with strong ownership of issue resolution end to end Strong Linux and Windows system administration skills Proficiency scripting and automating in Python, Bash and/or PowerShell Solid experience with relational databases such as PostgreSQL or SQL Server, including writing queries for investigation and supporting routine operational processes Practical understanding of monitoring and observability: metrics, logs, traces, dashboards and alerting, and the ability to analyse system data to distinguish a platform-wide problem from a localised one Comfortable debugging distributed, API-driven services: HTTP status and error semantics, timeouts, retries, connection resets, rate limiting, caching and latency percentiles Familiarity with large language model concepts and hosting environments — inference APIs, model gateways/proxies, prompt and context handling, token accounting, streaming responses, prompt caching Exposure to public cloud, ideally AWS (Bedrock, networking, IAM, logging/metrics), and to containerised or Kubernetes-based workloads Ability to communicate clearly with both engineers and non-technical users, and to manage expectations of senior stakeholders during live incidents Awareness of data-sensitivity and access-control considerations when routing workloads to third-party model providers Beneficial Experience supporting developer tooling and AI coding assistants (e.g. Claude Code, OpenCode) or IDE/workspace platforms Experience with Grafana, Prometheus or equivalent observability stacks, including building dashboards and alert rules Experience with CI/CD and infrastructure-as-code (Terraform, Ansible, or similar) Experience operating multi-region services and troubleshooting region-specific performance issues (e.g. APAC latency) Experience acting as the operational interface to third-party vendors and cloud providers during degradations QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Описание проекта: Масштабный проект цифровой трансформации, влияющий на ключевые производственные процессы. Задачи: — Проектирование архитектуры данных: разработка и описание целевой архитектуры хранилищ (OLAP/OLTP), определение моделей данных, выбор форматов хранения и стратегий партиционирования. — Разработка Data Pipelines: проектирование и реализация ETL/ELT-пайплайнов: построение DAG в Apache Airflow, написание кастомных операторов и сенсоров на Python, настройка ретраев, алертинга и зависимостей. — Стриминг и батч-обработка: разработка стриминговых джоб на Apache Flink и батч-процессинга на Apache Spark. — Оптимизация производительности: практический опыт поиска и устранения узких мест, оптимизация медленных SQL-запросов (анализ execution plans, индексы, партиционирование), тюнинг конфигурации движков обработки (Flink, Spark) и баз данных для минимизации потребления ресурсов (CPU, RAM, I/O). — Обеспечение качества данных: организация тестирования трансформаций данных, внедрение механизмов проверки целостности и актуальности данных, реализация процессов нормализации и дедупликации. — Интеграции: разработка и поддержка интеграций между системами: REST/gRPC API, базы данных, message brokers (Kafka, MQTT), файловые хранилища (S3), Timeseries DB. — Работа с Jira: ведение задач, управление статусами и связями между задачами. — Поддержка технической и бизнес-команд: обработка заявок на поддержку существующих потоков данных или разработку новых, заведение и контроль исполнения заявок внутренних команд. — Поддержка команды в систематизации и автоматизации процессов. — Взаимодействие с разработчиками и тестировщиками для уточнения технических ограничений и требований. — Обеспечение прозрачности статуса технических задач и процессов для всей команды. Требования: — Опыт работы на позиции Data Engineer от 4 лет в сфере разработки ПО. — Опыт работы с ключевыми компонентами нашего стека: DBMS & Warehouses: уверенная работа с Postgres и MSSQL; опыт настройки и оптимизации OLAP-движков (Trino, StarRocks) и современных хранилищ (Cassandra, Redis). — Data Flow Tools: практический опыт работы с Apache Airflow (написание DAG, кастомные операторы); опыт использования Apache Kafka (producer/consumer) и Apache Flink (разработка стриминговых джоб, состояние, чекпоинты). — Data Lake / Lakehouse: опыт работы с Apache Iceberg, понимание архитектуры lakehouse, использование Lakekeeper для управления метаданными, работа с объектным хранилищем S3. — CDC: опыт реализации Change Data Capture паттернов для синхронизации данных между системами. — Глубокие знания в области архитектуры данных и баз данных: понимание принципов нормализации и денормализации, проектирование relational и columnar моделей, стратегии управления данными (lifecycle, retention, versioning). — Уверенное владение Python: написание скриптов, модулей, работа с асинхронностью при необходимости; опыт написания DAG в Apache Airflow, включая кастомные операторы, hooks, sensors. — Навыки оптимизации: умение профилировать процессы, находить bottlenecks, оптимизировать SQL-запросы и настраивать ресурсы кластеров под нагрузку. — Владение Jira и Confluence на уровне confident user (структура страниц, шаблоны, макросы, связки задач и документации). — Опыт организации хранения данных для последующих задач OLAP / OLTP с учетом требований (consistency / integrity). — Опыт организации обработки данных в рамках задач OLAP / OLTP с применением различных паттернов (batch processing, CDC). — Понимание ключевых особенностей и сценариев применения различных паттернов организации интеграционных потоков (batch processing, CDC) с учетом их характеристик (3V+). — Опыт заведения и сопровождения заявок в сервис-деске. Будет плюсом: — Опыт работы с Timeseries базами данных (InfluxDB, TimescaleDB, TDengine и др.). — Глубокий опыт эксплуатации кластеров (Hadoop, YARN, Kubernetes) в production-среде. — Знание SQL на продвинутом уровне (оптимизация сложных запросов, window functions, CTE). — Опыт работы с CI/CD для data-пайплайнов. — Понимание принципов DDD, event-driven архитектуры. — Опыт работы с Apache NiFi.

Задачи: — Руководство инженерной доставкой для запусков карточных программ и стабильной работы на рынке. Требования: — Опыт работы с fraud prevention, tokenization, Visa, Mastercard, платежными системами, цифровыми кошельками. — Знание Node.js, NestJS, TypeScript. — Опыт работы с API, PSD2, 3DS, финансовой сверкой. — Навыки работы с New Relic, PCI, observability, AWS, CI/CD. — Понимание KYC процессов. Условия: — Удалённая работа.

Задачи: — строить надёжную инфраструктуру самообслуживания — эксплуатировать регулируемые платёжные системы