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Задачи: — Развертывание и поддержка full nodes (Ethereum, Bitcoin, Tron) — Настройка и сопровождение RPC, архивных и валидаторных нод — Обеспечение высокой доступности (HA), отказоустойчивости и масштабируемости инфраструктуры — Мониторинг состояния нод (Prometheus, Grafana) — Оптимизация производительности (disk I/O, RAM, CPU, network latency) — Управление обновлениями клиентов и форками сетей — Настройка резервного копирования и восстановления данных — Автоматизация процессов — Работа с облачной инфраструктурой (Hetzner, OVH, AWS, GCP и аналоги) — Обеспечение безопасности (firewalls, access control, DDoS protection) — Поддержка внутренних команд (backend, data, product) через RPC/API endpoints Требования: — Опыт DevOps/SRE от 3-х лет — Практический опыт работы с blockchain nodes — Глубокое понимание Linux (Ubuntu/Debian), networking и системного администрирования — Опыт работы с Docker, Kubernetes — Уверенное владение инструментами мониторинга и логирования — Опыт автоматизации (Bash, Python или Go) — Понимание принципов консенсуса (PoW, PoS, validators) — Опыт работы с high-load системами Будет плюсом: — Опыт запуска валидаторов и участия в staking — Работа с MEV, indexers, archive nodes — Знание специфики L2 решений (Arbitrum, Optimism, zkSync) — Опыт работы с Web3 API (Infura, Alchemy аналоги) — Понимание безопасности ключей и HSM решений Технологический стек: OS: Linux (Ubuntu) Containers: Docker, Kubernetes Infra: Terraform, Ansible Monitoring: Prometheus, Grafana Cloud: AWS / GCP / Hetzner Blockchain clients: Geth, Erigon, Nethermind, Bitcoin Core, Solana Validator

Location: Japan Workplace: Remote ClickHouse is the open-source, real-time analytical database behind a lot of today's AI. More than 4,000 companies build on ClickHouse, including Anthropic, OpenAI, Tesla and Meta. As a TAM Architect, you're the named technical lead for a small group of our largest customers. You carry the context of how they run ClickHouse, guide them from their first design decisions through production and growth, and make sure the rest of ClickHouse shows up for them when it matters. Your job is to keep them healthy, help them get more out of ClickHouse, and spot the next use case. You'll work inside our Support organisation and own escalations for your accounts, working closely with our support engineers. The role is based in Japan, close to our customers in Tokyo. Large enterprises are moving onto ClickHouse fast, and we're building out how we look after them. People joining now have a real say in how this role works.   WHAT YOU'LL DO - Run a regular cadence with 4 to 8 strategic accounts (weekly, fortnightly or monthly, depending on the project), plus quarterly health checks and business reviews, on site where it helps - Lead onboarding, where the decisions that are hardest to reverse get made: schema and data modelling, table engines, ingestion, migration and query design - Once customers are live, keep performance and cost on track as they grow, and help them onto new use cases - Work closely with Support: own escalations for your accounts, with regular case reviews and a direct line into L3 engineering - Work with the right people for each piece of work: partner with Solutions Architects on new use cases and proof of concepts, and bring in Consulting Engineers for hands-on projects - Write it down: documented setup and configuration, knowledge base articles and reference architectures that help other customers too WHAT YOU'LL BRING - 5+ years in a hands-on, customer-facing technical role after the sale, whether your title was TAM, solutions architect, professional services, senior support or something else - Specialist depth in data modelling, query performance and integration on distributed or analytical databases - Hands-on SQL. You regularly write complex queries from scratch, and tune and debug them yourself - Experience owning a small book of high-touch enterprise accounts, where you know each customer's architecture in depth - Hands-on cloud experience (AWS, GCP and/or Azure) - You've run distributed systems, such as distributed databases, in production - You explain technical trade-offs clearly, to engineers and to executives - Fluent English and Japanese NICE TO HAVE - Experience with ClickHouse, or with other analytical databases such as Snowflake, BigQuery, Redshift or Druid - Involvement in open source, as a user, contributor or community member - A working knowledge of Kubernetes GOOD TO KNOW - You'll be based in Japan. Travel to customer sites is part of the job, up to 35% of your time, mostly to customers in Tokyo - You'll join our APJ Support Services team, alongside Support Engineers and Consulting Engineers - You'll be part of the on-call rota, about one week a quarter, with time off in lieu if you're paged at a weekend HOW WE HIRE - A 30-minute call with our recruiter - A conversation with the hiring manager - A take-home exercise, designed to take four to five hours, with three working days to complete it - A 90-minute technical interview with the team: you'll walk us through your take-home, then join a working session where you write and tune SQL live - An in-person meeting with our local head of solutions architecture - A final conversation with our VP of Support Services - References, then an offer The working session is without AI tools, so make sure you're comfortable writing queries from scratch. Download open-source ClickHouse and practise: it's free, easy to install, and great preparation. PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: Hybrid - San Francisco, New York City About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role The next generation of software won’t just be used by people — it’ll be built and shipped by agents. Builds are where that happens, and they’re the beating heart of Vercel. Whether an idea starts in v0, in an agent, or in an engineer’s editor, every customer builds — and millions of builds flow through our systems every day. As an engineer on the Agentic Infrastructure team, you’ll take ownership of the systems that carry that work at scale. You won’t just contribute features — you’ll be responsible for the design, reliability, and evolution of the platform itself. You’ll make decisions that shape performance, define best practices, and ensure the workflows that Vercel, our customers, and their agents depend on are fast, resilient, and secure. This role blends product thinking with deep systems ownership. You’ll partner with teams across Vercel to build and operate the agentic infrastructure that determines how software actually ships. We’re looking for engineers who want to own high-scale systems end-to-end, thrive on improving the developer/agent experience, and are driven to have a lasting impact on how modern software gets built and delivered. What you’ll do Own and evolve the infrastructure that powers Vercel’s build and deployment lifecycle — from handling webhooks to designing resilient database schemas and building scalable APIs. Design and operate high-performance microservices that process millions of builds daily, ensuring speed, reliability, and developer delight. Lead projects end-to-end: from identifying opportunities to defining technical direction and delivering improvements in performance, reliability, and developer experience. Collaborate across teams to align infrastructure with company-wide goals and ensure seamless developer workflows. Shape the long-term vision of agentic infrastructure at Vercel by setting standards for scalability, reliability, and developer productivity. Participate in the on-call rotation, taking responsibility for the reliability of critical systems. Contribute to the open-source community, representing Vercel’s commitment to advancing developer tools globally. Write clean, efficient, tested, and well-documented code that others can build upon confidently. What you need 3+ years of experience designing, building, and operating backend applications and distributed systems at scale. Strong proficiency in JavaScript/TypeScript, with the ability to navigate and improve complex systems. Strong proficiency with cloud infrastructure (AWS) and infrastructure as code (Terraform) A track record of end-to-end ownership — from design and implementation through to long-term operation in production. Skilled at cross-team collaboration, able to influence priorities and drive alignment toward shared goals. Able to reason about technical direction and architectural tradeoffs, balancing long-term vision with pragmatic delivery. Invested in the people around you — through mentorship, code review, or simply raising the bar on how the team builds. Curious, eager to learn, and motivated to push the boundaries of how modern software gets built and shipped. Bonus if you Are familiar with React or Next.js Have experience with DynamoDB Have worked to develop a CI/CD platform or internal developer platform used by other engineers or by agents. Have experience contributing to or participating in open-source projects. Have experience optimizing build systems for monorepos or polyrepo setups. Have experience with build caching, artifact storage, or dependency management at scale. Benefits & Compensation: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The base pay range for this role is $196,000.00 - $294,000.00. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. #LI-KR1 Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: United States Workplace: remote About Lyra Health Lyra Health is a leading provider of evidence-based mental health care, serving more than 20 million people globally in partnership with employers and more than 100 million through health plan and partner relationships. The company has delivered more than 15 million sessions of mental health care, published more than 35 peer-reviewed studies, and delivered unmatched outcomes in terms of access, clinical effectiveness, and cost efficiency. Extensive peer-reviewed research confirms Lyra’s transformative care model helps people recover twice as fast and results in a 26% annual reduction in overall healthcare claims costs. Lyra is transforming access to life-changing mental health care through Lyra Empower, the only fully integrated, AI-powered platform combining the highest-quality care and technology solutions. About the Role:  We are looking for a strategic leader to spearhead the execution of Lyra's machine learning roadmap. In this capacity, you will scale and mentor a high-impact AI/ML engineering team, ensuring our technical vision translates into production-grade systems that operate with clinical precision and high-availability reliability. The ideal candidate is an experienced engineering manager who excels at balancing long-term technical strategy with hands-on people leadership. You possess a deep passion for developing technical talent, building robust cross-functional partnerships, and cultivating a culture of operational excellence within an AI-driven organization. Why Lyra? Collaborative Innovation: Thrive on working alongside brilliant colleagues to solve complex, mission-critical challenges. Social Impact: Are deeply motivated by making a tangible difference and supporting individuals during their most vulnerable moments. Cross-Functional Partnership: Enjoy collaborating with a diverse group of physicians, therapists, data scientists, and product leaders. Responsibilities Exceptional People Leadership: Facilitate technical growth through weekly 1:1s, performance management, and clearly defined career trajectories for machine learning engineers. Roadmap & Strategy Ownership: Drive the quarterly planning lifecycle for AI/ML workstreams, prioritizing essential initiatives like clinical program mapping while ensuring alignment with broader business objectives. Cultivate Engineering Culture: Establish an inclusive, high-performance environment by championing knowledge sharing, mentorship, and rigorous technical standards across the ML organization. Strategic Technical Influence: Collaborate with Product Management and Data Science leads to transform complex clinical requirements into robust, safety-oriented production models. ML SDLC Oversight: Maintain a high technical bar through design reviews, guiding the evolution from experimental research to stable microservices deployed on Kubernetes. Multiplicative Technical Vision: Provide leadership through strategic architectural guidance and prototypes, focusing on scaling your team's collective impact and technical reach. Qualifications Proven experience in engineering management, specifically leading and scaling high-performing ML/AI teams within production environments. Exceptional People Leadership: Strong ability to develop technical talent, manage performance, and build a collaborative team culture. Strategic Mindset: Demonstrated experience balancing long-term technical strategy and model governance with day-to-day people leadership. Deep ML/AI Domain Expertise: Strong technical foundation in machine learning systems (transformers, neural networks, fine-tuning) with the ability to lead others in these domains. Operational Excellence: Mastery of the ML SDLC, including dataset lineage, automated evaluation, and deploying microservices at scale. Cloud Architecture: Strong experience architecting cloud-native solutions on AWS (or equivalent cloud providers). Strategic Communication: Exceptional ability to distill highly ambiguous technical problems into clear strategic priorities and influence leadership across engineering, product, and business domain disciplines. Preferred Qualifications Polyglot Engineering Background: Experience writing high-performance production code in Java or Kotlin. Healthcare & Sensitive Data Expertise: Experience architecting AI/ML systems within highly regulated environments (HIPAA compliance, SOC2, handling PHI/PII). MLOps / Platform Productization: Experience building internal developer platforms or ML tooling used by dozens of data scientists and engineers. "We are an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information or any other category protected by law.   By applying for this position, you acknowledge that your personal information will be processed as per the Lyra Health Workforce Privacy Notice. Through this application, to the extent permitted by law, we will collect personal information from you including, but not limited to, your name, email address, gender identity, employment information, and phone number for the purposes of recruiting and assessing suitability, aptitude, skills, qualifications, and interests for employment with Lyra.  We may also collect information about your race, ethnicity, and sexual orientation, which is considered sensitive personal information under the California Privacy Rights Act (CPRA) and special category data under the UK and EU GDPR.  Providing this information is optional and completely voluntary, and if you provide it you consent to Lyra processing it for the purposes as described at the point of collection, for example for diversity and inclusion initiatives.  If you are a California resident and would like to limit how we use this information, please use the Limit the Use of My Sensitive Personal Information form.  This information will only be retained for as long as needed to fulfill the purposes for which it was collected, as described above. Please note that Lyra does not “sell” or “share” personal information as defined by the CPRA. Outside of the United States, for example in the EU, Switzerland and the UK, you may have the right to request access to, or a copy of, your personal information, including in a portable format; request that we delete your information from our systems; object to or restrict processing of your information; or correct inaccurate or outdated personal information in our systems. These rights may be subject to legal limitations. To exercise your data privacy rights outside of the United States, please contact globaldpo@lyrahealth.com. For more information about how we use and retain your information, please see our Workforce Privacy Notice." As a full-time Manager, AI/ML Engineering, you will be employed by Lyra Health, Inc. The anticipated annual base salary range for this full-time position is $161,000 to $221,500. The base range is determined by role and level, and placement within the range will depend on a number of job-related factors, including but not limited to your skills, qualifications, experience and location. This role may also be eligible for discretionary bonuses.  Annual salary is only one part of an employee’s total compensation package at Lyra. We also offer generous benefits that include:  Comprehensive healthcare coverage (including medical, dental, vision, FSA/HSA, life and disability insurances) Lyra for Lyrians; coaching and therapy services Equity in the company through discretionary restricted stock units Competitive time off with pay policies including vacation, sick days, and company holidays Paid parental leave  401K with up to 3% matching Monthly tech allowance We like to spread joy throughout the year with well-being perks and activities, surprise swag, regular community celebration…and more!   We can’t wait to meet you.

Location: Remote (US) IT Engineer About the company Hi, we're Ondo Finance. Our mission is to provide institutional-grade, blockchain-enabled investment products and services. We have both a technology arm that develops decentralized finance technology, and an asset management arm that creates and manages tokenized funds. We were the first company to tokenize exposure to US Treasuries, and have since expanded into several other assets. We are also focused on incubating protocols that can support both tokenized real-world assets and traditional crypto. Founded by folks from Goldman Sachs Digital Assets Team, we're backed by some of the best investors in the world including Founders Fund, Coinbase Ventures, Pantera Capital, Tiger Global, and more. We are currently the leaders in the space in terms of AUM and are well capitalized to continue growing the firm. We're fully remote, with team members across the U.S. About the role We are seeking a motivated, systems-oriented IT Engineer to join our Corporate IT team. This role combines hands-on IT operations and Tier 1–2 support with ownership of identity, access, endpoint management, and employee lifecycle workflows. You will work closely with the IT Operations Engineer and Security team to operate and continuously improve a modern, SaaS-first, highly automated IT environment. This is a junior but high-impact role designed for someone who wants to grow into identity-driven, automation-focused IT. Responsibilities Identity, Access & SaaS Operations Support day-to-day administration of IAM platforms such as Okta (or similar IdPs), including user lifecycle workflows, access provisioning, group management, and MFA. Assist with SSO and SCIM integrations between IAM systems and SaaS platforms such as Google Workspace, Slack, Notion, and other internal tools. Help enforce least-privilege access principles and support periodic access reviews and audits. Execute secure and timely access provisioning and deprovisioning aligned with documented lifecycle processes. Endpoint & Device Management Support macOS endpoint management using Addigy, Iru, or similar platforms. Assist with device enrollment, compliance monitoring, troubleshooting, and lifecycle workflows. Coordinate device preparation, shipping, replacements, and secure device recovery for offboarding employees. Help maintain endpoint security standards and configuration baselines. Employee Lifecycle & Automation Execute and coordinate end-to-end onboarding and offboarding processes, including: Account provisioning and access configuration Device setup and logistics Role-based access enforcement Secure deactivation and asset recovery Assist in building and maintaining low-code / no-code automations (e.g., Okta Workflows) to reduce manual effort and increase reliability. Ensure lifecycle processes are documented, repeatable, and auditable. Identify opportunities to improve lifecycle efficiency and reduce operational risk. Tier 1 & 2 IT Support Provide day-to-day IT support across identity, SaaS applications, access issues, and macOS endpoints. Serve as an escalation point for more complex access, integration, or device issues. Perform structured troubleshooting and root-cause analysis rather than applying temporary fixes. Identify recurring operational problems and contribute to durable, system-level improvements. Vendor Lifecycle & IT Operations Support vendor onboarding, evaluation, and renewals. Assist with SaaS access reviews and vendor offboarding. Help maintain visibility into vendor usage, contracts, and lifecycle status. Contribute to improving procurement and asset tracking processes. Requirements 2–3 years of experience in IT support, IT operations, or systems-focused roles. Experience providing Tier 1–2 IT support in a SaaS-heavy environment. Solid understanding of identity and access management fundamentals, including SSO, SCIM, MFA, and RBAC. Hands-on experience with IAM platforms such as Okta, Azure AD, or similar. Experience supporting Google Workspace or Microsoft 365 environments. Experience supporting macOS environments or strong endpoint fundamentals. Comfort working in a terminal / CLI environment appropriate to experience level. Ability to read and modify scripts written in Python, Bash, or PowerShell. Strong written communication and documentation skills. Ability to work independently in a fully remote environment. Backgrounds in Microsoft-centric environments (O365, Azure AD, Intune) are welcome, provided there is comfort learning Okta and SaaS-first tooling. Nice to haves Experience with endpoint management platforms such as Addigy, JAMF, Iru, or Intune. Experience building or maintaining low-code / no-code automations (e.g., Okta Workflows). Exposure to SaaS-first, identity-driven IT architectures. Familiarity with vendor management, procurement workflows, or asset lifecycle tracking. Interest in identity governance, security-adjacent work, or enterprise automation. Relevant certifications (Okta certifications, CompTIA A+/Network+/Security+, Google Workspace, Microsoft certifications). What we offer Competitive compensation including salary and/or equity (according to your preferences) — we're well-funded and believe that great talent deserves great compensation Full benefits (medical, vision, and dental) and flexible vacation policy (PTO) Small remote-first team across many countries — you'll be an early team member helping shape our vision, culture, and design practices A+ colleagues — our team includes alumni from: Goldman Sachs, Blackrock, Two Sigma, Bridgewater, SpaceX, AWS, Meta, Google, Pinterest, McKinsey, Circle, Uniswap, Phantom Best-in-class investors — we are proud to be backed by leading crypto experts and VCs, including Pantera Capital, Founders Fund and Coinbase Ventures

Location: Strava SF Workplace: Hybrid ABOUT STRAVA Strava is the app for active people. With over 200 million athletes in more than 185 countries, it’s more than tracking workouts—it’s where people make progress together, from new habits to new personal bests. No matter your sport or how you track it, Strava’s got you covered. Find your crew, crush your goals, and make every effort count. Start your journey https://www.strava.com/subscription with Strava today. Our mission is simple: to motivate people to live their best active lives. We believe in the power of movement to connect and drive people forward. We are looking for a Senior Data Engineer to join the Data Products team at Strava. The Data Products team sits at the core of Strava's AI strategy, turning Strava's unique community and activity data into reliable, reusable, enriched datasets that power experiences across the app. The team operates at the intersection of data engineering, ML platform engineering, and server engineering, building the pipelines and platform layer that let our proprietary embeddings, algorithms, and models reach athletes at scale. As a Senior Engineer, you'll build and operate the pipelines and access layer that turn raw data, algorithms, and models into production-ready data products used across the app. You'll work closely with ML engineers, data scientists, and product teams to ship data products with strong reliability, freshness, and clear contracts, and you'll contribute to the self-serve tools that make these products easier for other teams to build on. We follow a flexible hybrid model that translates to more than half your time on-site in our San Francisco office — three days per week. WHAT YOU’LL DO: - Build for a Well Loved Consumer Product: Work at the intersection of Geo and fitness to launch and optimize product experiences that will be used by tens of millions of active people worldwide - Build and Operate Data Products: Develop and maintain the pipelines, APIs, and platform tooling that expose Strava's derived data products, including embeddings, ranking artifacts, clustering outputs, and enriched activity streams, as reliable, well-documented internal products. - Contribute to Self-Serve Tooling: Build components of the self-serve interfaces and golden paths that let product and CUJ engineering teams use core data products without deep ML or data engineering expertise. - Own End-to-End Data Product Delivery: Drive projects end-to-end, from pipeline design and artifact schema through production deployment and monitoring, ensuring correctness, freshness, and reliability of the data products you own. - Collaborate Across ML, Data Engineering, and Product: Work closely with ML engineers on integrating model outputs into durable, versioned artifacts; partner with Data Platform on compute patterns and cost efficiency; inform product teams on how to consume and leverage these capabilities. - Build from a rich dataset: Explore and use Strava’s extensive unique fitness and geo datasets from millions of users to extract actionable insights, inform product decisions, and optimize existing features YOU WILL BE SUCCESSFUL HERE BY: - Treating Data Products as Products: Bringing engineering rigor, versioning, contracts, SLAs, monitoring, and deprecation paths to data artifacts and ML insights you own, so downstream teams can depend on them. - Owning Your Work End-to-End: Taking accountability for the reliability and correctness of the systems you build in production and their adoption by downstream teams, while staying aware of adjacent workstreams so dependencies and timing don’t stall the team’s momentum. - Collaborating Across Disciplines: Working fluidly with ML engineers, data engineers, data scientists, and product managers to align on artifact semantics, evaluation standards, and consumption patterns. - Contributing to the Standard: Helping establish best practices for data product development and operational health, and mentoring junior and mid-level engineers on the team. You love to stay current on emerging practices in backend and data engineering and apply them pragmatically, favoring what actually moves the team forward over novelty for its own sake. - Being passionate about the work you are doing and contributing positively to Strava's inclusive and collaborative team culture and values. WHAT YOU’LL BRING TO THE TEAM: - Experience building and operating complex, data-intensive backend systems in production at scale, with a track record of breaking large technical problems into well-scoped, executable work. - Demonstrated experience building access layers, platform tooling, or internal developer products ideally for large scale data or ML systems with a strong instinct for contract design, versioning, and self-serve patterns. - Experience building and maintaining production data pipelines and batch/stream workflows using technologies like Spark, Kafka, Flink, Iceberg, Snowflake, or similar. - Proficiency in backend service development on cloud environments (AWS preferred), using Python, Scala, Go, or equivalent. Solid understanding of distributed systems and containerized infrastructure (Kubernetes, Docker). - Comfort taking technical ownership within a project or team: making design trade-offs, coordinating with collaborators, and mentoring junior engineers and peers. - Eagerness to engage with ML concepts such embeddings, classification outputs, model evaluation, GenAI integrations. Bonus points if you are already an ML practitioner. - Strong communication and collaboration skills with the ability to work effectively with cross-functional partners. For more information on benefits, please click here https://docs.google.com/document/d/e/2PACX-1vTkFMPz3eCjd0FgQ28VWnK4d2BEnzGyaSFGwATR-dQdBb9HxZgay6kboqnT0-V-qaBDzSvYIzI76vT5/pub. WHY JOIN US? Movement brings us together. At Strava, we’re building the world’s largest community of active people, helping them stay motivated and achieve their goals. Our global team is passionate about making movement fun, meaningful, and accessible to everyone. Whether you’re shaping the technology, growing our community, or driving innovation, your work at Strava makes an impact. When you join Strava, you’re not just joining a company—you’re joining a movement. If you’re ready to bring your energy, ideas, and drive, let’s build something incredible together. Strava builds software that makes the best part of our athletes’ days even better. Just as we’re deeply committed to unlocking their potential, we’re dedicated to providing a world-class, inclusive workplace where our employees can grow and thrive, too. We’re backed by Sequoia Capital, TCV, Madrone Partners and Jackson Square Ventures, and we’re expanding in order to exceed the needs of our growing community of global athletes. Our culture reflects our community. We are continuously striving to hire and engage teammates from all backgrounds, experiences and perspectives because we know we are a stronger team together. Strava is an equal opportunity employer. In keeping with the values of Strava, we make all employment decisions including hiring, evaluation, termination, promotional and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. California Consumer Protection Act Applicant Notice https://docs.google.com/document/d/e/2PACX-1vSc8y6On4NlP5s12hf4kmWe_pvenVyQ78TbtVaz_clROhj9ADQ6kY4YScglBIuY2joKFKalOReX7vP_/pub

Location: Toronto; San Francisco; Canada; United States; New York; Montreal Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! About the Role Are you passionate about secure-by-design software engineering? Do you want to be at the forefront of AI innovation and enterprise security? Cohere's North team is seeking a Software Engineer with a focus on security to join our mission and make a significant impact. This isn't a review-and-advise role, you'll own and ship production security features that customers rely on every day. Your Role: As a Senior Software Engineer with a security focus, you'll play a pivotal role in building and securing North's architecture. Your responsibilities will include: - Software Development: Contributing to the core development of security features such as OIDC/OAuth flows and session management, ensuring North's AI agents are secure - Secure Coding: Writing secure code to handle OIDC tokens, user claims, and sensitive data, adhering to best practices for JWT validation and encryption - Authentication and Data Protection: Implementing authentication mechanisms including user login, token management, and authorization checks to maintain data integrity - Tool Integration: Pulling in new tools to enhance North's security capabilities - DevSecOps: Design and implement secret management within Kubernetes clusters, including encryption and RBAC - Cross-functional Collaboration: Demonstrate strong soft skills to communicate security best practices to stakeholders in a clear and concise manner You may be a good fit if: - Have 5+ years building user-facing security features in production systems - Ship production Python confidently and frequently - Understand OIDC/OAuth 2.0, JWT validation, and token lifecycle management deeply—not just conceptually - Have hands-on experience with Kubernetes in both development and production environments - Have worked across GCP, AWS, Azure, or hybrid/multi-cloud deployments - Are comfortable working across the stack - Communicate security concepts clearly to non-security engineers and stakeholders - Thrive in fast-moving environments where priorities evolve - Experience working with AI/ML systems or LLM-based applications FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: England; Portugal; Spain; Italy; Ireland; Germany Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ THE ROLE We're looking for a Staff Sales Engineer who's energized by solving hard, emerging problems at the intersection of AI, security, and software delivery. You will act as a trusted technical advisor and champion owner, partnering closely with Account Executives, Post Sales, and Product teams to drive measurable business and technical value through: - Technical Selling and Deal Shaping - AI Governance and Security Thought leadership - Technical Champion Ownership and Thought Leadership - Customer and Internal Advocacy - Competitive and Strategic Selling This role suits people who like translating deep technical complexity into business clarity, who are comfortable being one of the first to help define a category, and who bring varied backgrounds and ways of thinking to how we solve customer problems. As a Staff Sales Engineer, you will be reporting to the Solutions Engineering leadership team and operate at the intersection of technical depth, business acumen, and competitive selling discipline. _______________________________________________________________________ RESPONSIBILITIES Technical Selling and Deal Shaping - Lead deep technical discovery across Platform Engineering, DevOps, Security, and AI/ML teams to understand: - AI governance requirements for agentic development (shadow AI, ungoverned MCP tools, agents holding real developer credentials) - Software supply chain risk posture - Regulatory and compliance drivers (e.g., EU AI Act, NIST AI Risk Management Framework) - Secure development lifecycle requirements - Shape technical requirements early in the sales cycle to align customer outcomes with Docker's differentiated value in AI governance, container security, and software supply chain integrity. - Design, position, and execute structured PoCs/PoVs focused on: - Sandbox, network, and MCP tool policy enforcement - Image and artifact integrity (Docker Hardened Images, SLSA Build Level 3 provenance, verifiable SBOMs) - Software supply chain visibility - Agent and MCP tool governance controls - Secure build pipelines - Define clear success criteria, evaluation frameworks, and executive-ready value summaries. - Influence decision-making through demos, workshops, architecture reviews, and technical executive briefings. - Translate complex AI security and governance capabilities into clear business value narratives for CISOs, Heads of Platform Engineering, and AI leaders. AI Governance and Security Thought Leadership - Establish credibility as a trusted advisor on: - Responsible AI development practices - Secure AI model lifecycle management - Software supply chain integrity (SLSA provenance, SBOMs, verified base images) - Container and artifact security - DevSecOps best practices - Guide customers in implementing governance controls across AI-enabled SDLC workflows. Provide architectural guidance for: - Agentic AI development environments and runtime isolation (sandboxing) - Policy-as-code enforcement across agents, tools, and machines - MCP tool governance and allow-listing - Identity and access governance for AI workloads (IdP-based role and policy assignment) - Audit, logging, and SIEM visibility for agent activity - Act as a subject matter expert on secure software supply chain and AI security trends in customer-facing engagements. Technical Champion Ownership and Thought Leadership - Build, own, and expand relationships with technical champions across Security, DevOps, Platform, and AI teams. - Establish credibility as a trusted advisor through technical thought leadership, architectural guidance, and industry best practices. - Leverage champion relationships to influence broader buying groups, shape requirements, and uncover cross-sell and expansion opportunities. - Maintain engagement beyond the initial sale, ensuring outcomes are realized and leveraging insights to support future sales motions. Customer and Internal Advocacy - Advocate for customer needs with Product and Engineering, providing clear, actionable feedback informed by field experience. - Coordinate with Post Sales and Support resources to ensure continuity across the customer lifecycle. - Develop reusable technical assets (workshops, demos, reference architectures, enablement content) to scale impact across accounts. Competitive and Strategic Selling - Actively support competitive sales motions by identifying differentiation and influencing evaluation criteria throughout the sales cycle. - Partner with Sales to develop technical win strategies for strategic and competitive accounts. _______________________________________________________________________ QUALIFICATIONS We know strong candidates come from a range of paths, and that confidence gaps keep some excellent candidates from applying to roles like this. If you meet most of what's below and are excited about the rest, please apply. - Experience as a Sales Engineer, Solutions Engineer, or Solutions Architect in complex enterprise sales. - Strong experience running competitive PoCs/PoVs with clearly defined success and exit criteria. - Ability to engage credibly with senior technical and business stakeholders, including security and platform leadership. - Solid understanding of cloud platforms (AWS, Azure, GCP), containers, DevOps, and modern application architectures. - Experience with Docker, container ecosystems, or adjacent technologies strongly preferred. - Development, agentic AI development, software development lifecycle, and/or software supply chain experience strongly preferred. - Familiarity with AI governance, secure software supply chain (SLSA, SBOMs), MCP or agentic tooling, and DevSecOps practices strongly preferred. - Must be fluent in English. - Excellent communication, influence, and stakeholder management skills. - Willingness to travel to customer sites up to 25%. _______________________________________________________________________ WHAT TO EXPECT FIRST 30 DAYS - You will be welcomed with a first-in-class onboarding experience that includes equipment setup, a sweet swag package, and a collaborative training program working with an onboarding peer. - You will learn how to navigate award-winning sales tools such as Salesforce, Opine, Sigma, and Docker. - You will actively engage with senior stakeholders and manage relationships with clients. - You will work closely with your peers and partner with SEs to develop strategies to advocate for our customers. - At the end of your first month, you will have a proficient grasp of the tools and activities necessary to be successful in your role. FIRST 60 DAYS - You will be laser-focused on supporting the sales teams during your second month. - You will have connected with all of your team members. - You will gain in-depth knowledge of Docker's products and how they impact our customers. - You will have an advanced understanding of tools, activities, and best practices to be successful in your role. FIRST 90 DAYS - In month three, you will be confident in your craft and ready to immerse yourself fully in our customers' business needs. - You will continue efforts to improve messaging, processes, and activities. - You will educate our clients about our product roadmap and undertake product training for users. - You will be ready to operate independently at full speed. Visa sponsorship: Not available for this role. _______________________________________________________________________   COMPENSATION & EQUITY All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location. Europe: €141,400– €202,000 OTE ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: Erevan, Armenia; Canberra, Australia; Vienna, Austria; Brussells, Belgium; Sarajevo, Bosnia and Herzegovina; Sofia, Bulgaria; Zagreb, Croatia; Prague, Czechia; Berlin, Germany; Athens, Greece; Rome, Italy; Dublin, Ireland; Kishinev, Moldova, Republic of; Budva, Montenegro; Bucharest, Romania; Tbilisi, Georgia; Warsaw, Poland; Bratislava, Slovakia; Astana, Kazakhstan; Beograd, Serbia Workplace: remote Senior Full-Stack Engineer About the Role We are looking for Senior Full-Stack Engineer with strong experience across React/TypeScript frontend development and Node.js/TypeScript backend systems. This is a long-term, fully remote opportunity within a fast-moving fintech environment, working EST hours. The ideal candidate is proactive, asks thoughtful questions, and builds reliable, maintainable systems. The team actively uses AI coding tools such as Claude, so candidates must be comfortable using them and explaining their technical decisions. Responsibilities Build and maintain production-grade React, Node.js , and TypeScript applications. Develop backend services, APIs, integrations, and server-side validation. Manage PostgreSQL schemas, migrations, queries, indexes, and performance. Write unit, integration, and end-to-end tests. Design scalable systems using caching, queues, and background jobs. Improve legacy code and contribute to ongoing technical remediation. Collaborate with the team and clearly communicate technical decisions. 7+ years of professional software engineering experience. Strong, recent React, Node.js, and TypeScript experience. True full-stack expertise; primarily frontend candidates will not be considered. Hands-on PostgreSQL experience, including migrations and indexing. Production experience with AWS; ECS/Fargate, containers, S3, and CloudFront are preferred. Experience with system design, third-party integrations, and end-to-end testing. Comfortable using AI coding tools such as Claude. Strong English and Russian communication skills. Fintech or payments experience is preferred, including knowledge of ACH, reconciliation, compliance, and idempotency.

Location: Ukraine OUR HIRING PROCESS: We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment. We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team. At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team. From there on, it’s decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live. INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy We're looking for Senior AI Engineers to design, build and run LLM-powered agents and AI features in production. You'll work across the full lifecycle: from scoping a use case with stakeholders, through architecture and development, to deployment, evaluation and ongoing improvement. This is a hands-on role for engineers who think like product owners: you understand the business problem, define what success looks like in numbers, ship to real users, and own the result after launch. Our stack: Python and TypeScript/Node.js, PostgreSQL, Kafka, Docker, GitHub Actions, AWS. We run multiple LLM providers (Anthropic, OpenAI, Google, AWS Bedrock and others) behind a shared LLM gateway, with MCP for tool access. We work AI-native: agentic coding tools are part of how engineering gets done here, and we provide official Anthropic Claude certification for our engineers. As part of our team, your responsibilities in this role will include: Design and build LLM agents and agentic workflows: tool use via MCP, structured outputs, retrieval (RAG), multi-step orchestration, human review steps where needed. Build and maintain MCP servers and tool layers that give agents governed access to company data and systems. Own quality and cost: evals and golden sets, per-agent telemetry (tokens, cost, latency, accuracy), prompt and model versioning, provider failover and model routing. Ship through CI/CD like any other production service: tests and evals in the pipeline, containerized deploys, monitoring, rollbacks. Contribute to shared platform pieces: the agent template, the LLM gateway, observability. Work directly with business stakeholders to scope, prioritize and validate use cases. Push back when something doesn't need an agent. Use AI coding tools daily. Claude Code is our default; deep experience with a comparable agentic tool also works. You drive the tool, verify its output and catch its mistakes. Our ideal candidate possesses the following skills: 5+ years of software engineering experience, with production systems you've designed, shipped and supported. Proven experience building LLM-based agents or agentic workflows that reached production with real users. Hands-on experience with agent frameworks and SDKs: Claude Agent SDK, Claude Managed Agents, Pydantic AI, LangGraph or similar. You can also explain what you'd build without one. Hands-on experience with MCP and RAG: you've built MCP servers or equivalent tool layers, and retrieval pipelines over real, messy data. Experience with multiple LLM providers and with AWS Bedrock: model selection, routing, fallbacks, cost and rate-limit management. Strong Python and SQL. Comfortable in TypeScript/Node.js. Solid production engineering on AWS: Docker, CI/CD, testing, observability. Product thinking and business focus: you start from the problem and its cost, define success in measurable terms, and own outcomes. Daily use of agentic coding tools (Claude Code, Codex, Cursor or similar), with the judgment to verify what they produce. Clear communication with technical and non-technical stakeholders, in English. Nice to have: LLM observability or gateway tooling (Langfuse, LiteLLM, OpenTelemetry for LLM traces or similar). B2B contact and company data: enrichment, deduplication, matching. Cloud operations or FinOps: monitoring, incident handling, cost management. Event-driven or workflow-engine experience (Kafka, Temporal or similar). Experience replacing no-code or workflow-tool automations with production code. What we offer: Fully remote work format; A collaborative and creative environment that values initiative and experimentation; Paid time off and sick leave; Reduced working hours on Fridays during the summer; Days-off on US national holidays + your birthday; Schedule: 14 PM - 23 PM EEST (Kyiv time).

Location: Americas Remote Hi, I'm Paul, VP of Engineering at Customer.io . We're looking for a staff engineer to set technical direction for the systems that move billions of messages a day. This isn't a role about shipping more, faster. It's about deciding what gets built, where the architecture needs to go next, and raising the ceiling for the engineers around you. About Customer.io Over 9,000 companies — from scrappy startups to global brands — use our platform to send billions of emails, push notifications, in-app messages, and SMS every day. Customer.io powers automated communication that people actually want to receive. We help teams send smarter, more relevant messages using real-time behavioral data. Under the hood: Go, React, Ember and AI help us ship fast and scale with confidence. What We Value Ownership at company scale You take on the problems nobody has claimed yet — the ones that span squads, have no obvious owner, and would quietly cost us a year if left alone. You either solve them or get leadership aligned to. Engineers with product taste You think like a user, not just an engineer. You connect architectural decisions to what customers actually experience, and you can explain that connection to people who don't write Go. A healthy skepticism for "the way things are done" You retire practices that have outlived their usefulness, including ones you helped build. Best practices matter — but never more than forward motion. Force multiplication Your best quarter isn't measured by what you shipped. It's measured by what the department can now do that it couldn't before. What You'll Do Shape the technical direction of our distributed messaging systems in Go — making the high-level architectural calls on mission-critical services where scale, cost, and reliability are all in tension Take on ambiguous, high-stakes problems that cross squad and function boundaries, and drive them to a decision when the right answer isn't obvious to anyone yet Build consensus on contested technical questions across teams, and communicate the tradeoffs clearly enough that senior leadership can act on them Raise the department's bar — set quality and design standards, mentor senior engineers, and turn what you know into frameworks and documentation other teams can use without you in the room Drive engineering process and tooling improvements that span multiple squads, not just your own Participate in an on-call rotation as required, supporting the reliability of the systems you build Interview and calibrate against our career ladder, giving honest, evidence-based assessments of candidates Use AI agents to make multi-file changes by scoping the work, writing the prompt, and verifying the output What we're looking for 10+ years building scalable, distributed systems in Go (or similar statically typed languages), including several as the person others turned to on architecture Depth across multiple systems or domains, not just one — you've been the recognized expert in more than one place A track record of designing for production reality: you quantify tradeoffs in throughput, cost, and reliability rather than picking a reasonable path and defending it Experience designing observability and recovery as first-class concerns — metrics, alerting, rollback, backpressure, checkpointing — not logging added afterward Comfort working in cloud-native environments (AWS, GCP), with relational databases (we use MySQL) and a real understanding of performance tradeoffs Evidence of making other engineers better: mentorship, technical writing, design review, standards that outlasted your involvement A bias for action over perfection, and the judgment to know which decisions are worth slowing down for Compensation & Benefits We believe in transparency. Starting salary for this role is $200,000 - $240,000 USD (or equivalent in local currency) depending on experience and subject to market rate adjustment. This role also carries a 10% annual bonus target. In addition to base salary, this role includes an equity grant in the form of stock options, so you share in the success you help build. We know our people are what make us great, and we're committed to taking great care of them. Our inclusive benefits package supports your well-being and growth, including 100% coverage of medical, dental, vision, mental health, and supplemental insurance premiums for you and your family. We also offer 16 weeks paid parental leave, unlimited PTO, stipends for remote work and wellness, a professional development budget, and more. See full benefits here → Our Process No gotchas, no trick questions - just a clear, human process designed to help both of us make an informed decision. Application - We review everyone with care. Tell us why you're interested. Recruiter Call (30 mins) - Let's chat about what you're looking for and how we work. Hiring Manager Interview (60 mins) - Talk with one of our hiring managers about your working style and a project you've owned end-to-end, plus a short AI-assisted coding exercise. Architecture Interview (60 mins) - A collaborative system design conversation focused on scaling challenges, tradeoffs, and failure modes. Take-Home Assignment - Complete a short, realistic task similar to what you'd work on here. Assignment Review Call (60 mins) - Walk us through your work and discuss tradeoffs, priorities, and how you'd iterate. All final candidates will be asked to complete a background check and employment verifications as part of our pre-employment process. Customer.io recognizes the stifling impact of systemic injustice on diverse communities. We commit to using our influence to increase inclusion and equity within the tech industry. We strive to build an inclusive team culture, implement bias-free hiring practices, and develop community partnerships to expand our global impact. Zoom is the only video conference platform that we use, virtual interviews will be conducted using the video capability (i.e., not via the chat), and offers will be extended in writing on official Customer.io letterhead. Please be vigilant in all of your job search activity, and if you have any questions please contact jobs@customer.io . Join us! We believe in empathy, transparency, responsibility, and, yes, a little awkwardness. If you're excited by what you read and want to build software that makes communication better for everyone—apply now.

Задачи: — Проектировать, разрабатывать и обслуживать масштабируемые серверные системы для поддержки развертывания. — Создавать надежные и эффективные API в платформу GotIt. — Создавать системы хранения и поиска данных, оптимизированные для обработки больших объемов текстовых данных. — Выявлять проблемные места в производительности и оптимизировать серверные службы. — Внедрять передовые методы обеспечения безопасности для защиты конфиденциальных данных и соответствия стандартам. Требования: — Степень бакалавра или магистра в области компьютерных наук, инженерии или смежных областях. — Минимум 5 лет опыта в серверной разработке с упором на проектирование и внедрение масштабируемых систем. — Опыт серверной разработки на Kotlin или Java с переходом на Kotlin. — Опыт продумывания архитектуры приложения и проработки ключевого функционала. — Знание английского языка. — Опыт работы с реляционными базами данных (PostgreSQL) и разработка эффективных моделей данных. — Опыт проектирования и разработки RESTful API и использования WebSocket. — Знание облачных платформ AWS, Azure или Google Cloud и опыт управления серверными службами в облаке. — Понимание принципов DevOps и опыт работы с Docker, Kubernetes, CI/CD. — Знания в области машинного обучения (TensorFlow, PyTorch) являются плюсом. — Опыт работы с технологиями и платформами обработки естественного языка (NLP). — Опыт работы в Agile. — Вклад в проекты с открытым исходным кодом или участие в технических сообществах. — Опыт работы с технологиями больших данных, такими как Apache Hadoop или Spark. Условия: — Удаленная работа. — Частичная занятость. — Возможность присоединиться к международной команде на полный день. — Перспектива стать руководителем направления. — Возможность путешествий и переезда в США.

Location: Munich, Germany 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 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 As an Applied AI Architect on the Partnerships team at Anthropic, you will be a Pre-Sales architect focused on cultivating technical relationships with our Global and Regional System Integrators (GSIs/RSIs), and our cloud partners (AWS and GCP). You will strengthen our relationships with key partners to accelerate indirect revenue, enable their AI practices, and execute on long-term GTM strategy. Responsibilities: Strategic Technical Partnership : Be a technical thought partner to the Anthropic GTM partnerships team, providing technical expertise to better understand the partner landscape, driving key strategic programs, and identifying opportunities to deepen partner technical capabilities. Embed with GSI and cloud partner technical teams to enable their AI practices, support troubleshooting, evangelize Anthropic in their developer communities, and serve as an escalation point for complex technical issues. Joint Solution Development: Collaborate with partners to identify high value industry-specific GenAI applications, develop joint solutions and codify reference architectures / best practices to accelerate time to deployment Customer Deal Support: Intervene directly to unblock strategic customer deals where partners are the primary delivery vehicle, providing deep technical expertise and solution architecture guidance. Partner Ecosystem & Events: Represent Anthropic at partner events such as GSI customer workshops, AWS summits, and industry conferences. Lead or support partner-specific developer events, hackathons, and technical enablement sessions, especially for technically native communities.Product Feedback: Validate and gather feedback on Anthropic's products and offerings, especially as they relate to partner use cases and deployment patterns, and deliver this feedback to relevant Anthropic teams to inform product roadmap and partner strategy. You may be a good fit if you have: 5+ years of experience in technical customer-facing/partner-facing roles such as Solutions Architect, Sales Engineer, Partner Sales Engineer, Technical Account Manager Track record of successfully partnering with GSIs and/or cloud providers to solve complex technical challenges, from initial solution design through customer delivery Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more Strong presentation & technical communication skills with the ability to translate requirements between technical and business stakeholders Experience designing scalable cloud architectures and integrating with enterprise systems Familiarity with common LLM frameworks and tools or a background in machine learning or data science Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities A love of teaching, mentoring, and helping others succeed Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems 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.

Задачи: — Разработка и оптимизация Oracle SQL / PL/SQL: сложные запросы, процедуры, функции, триггеры, пакеты; настройка производительности с использованием AWR, ASH, EXPLAIN PLAN; — Управление схемами базы данных: миграции DDL, партиционирование, индексы, ETL-процессы, безопасная разработка PL/SQL; — Администрирование Oracle APEX: обновления, управление рабочими пространствами, поддержка приложений, устранение проблем с производительностью; — Управление AWS RDS Oracle: развертывание, конфигурация, мониторинг, резервное копирование, снимки, PITR, хранение и оптимизация производительности; — Выполнение задач миграции и репликации данных с использованием Data Pump и AWS DMS (CDC); — Проектирование и поддержка процессов резервного копирования и восстановления; обработка восстановления, восстановления схем и сценариев миграции; — Мониторинг и устранение проблем с производительностью базы данных: анализ нагрузки, блокировки, взаимоблокировки, проблемы с CPU/IO, техническое обслуживание. Требования: — Опыт работы DBA не менее 3 лет, из них минимум 2 года с Oracle DB; — Сильные навыки Oracle SQL и PL/SQL: пакеты, курсоры, исключения, динамический SQL; — Практический опыт с Oracle APEX (администрирование или разработка приложений); — Опыт работы с AWS RDS Oracle: развертывание, конфигурация, ежедневное управление; — Хорошее понимание стратегий резервного копирования и восстановления; опыт работы с Data Pump; — Умение читать и интерпретировать планы выполнения и отчеты AWR; — Уверенная работа в Linux-среде (bash, cron, операции с файловой системой); Желательно: — Опыт работы в финтехе или платежных системах; знание требований PCI DSS; — Опыт с Oracle DMS, Kinesis или другими CDC-решениями; — Знакомство с Terraform / Ansible для управления инфраструктурой баз данных через IaC; — Знание Prometheus, Grafana или аналогичных инструментов наблюдения; — Понимание архитектуры ORDS и REST-интеграций через APEX; — Опыт обновления Oracle APEX между основными версиями. Условия: — Работа с серьезным корпоративным стеком: Oracle RDS, APEX, ORDS, AWS; — Техническая ответственность: архитектурные решения принимаются совместно с командой; — Конкурентная компенсация; — Возможности роста в области архитектуры данных и облачного DBA; — Стабильная команда, прагматичные процессы, отсутствие лишнего хаоса; — Комфортный офис в Лимассоле с закусками, напитками, PS5 и видом с крыши; — Компенсация спорта и обедов; — Командные мероприятия, медицинская страховка, приятные бонусы и поддержка в оформлении разрешения на работу.

Задачи: — Руководство и наставничество в команде Data Science Требования: — Опыт работы в Data Science не менее 5 лет, предпочтительно в мобильных потребительских продуктах — Глубокие знания в области монетизации рекламы, оптимизации доходов или аналитики рекламы — Опыт работы с системами рекомендаций, персонализации или ранжирования — Продвинутые навыки Python и SQL — Экспертиза в машинном обучении, предиктивном моделировании, прогнозировании и прикладной статистике — Опыт работы с большими поведенческими наборами данных — Опыт руководства или наставничества в командах Data Science — Родной русский язык Будет преимуществом: — Знание и опыт работы с AdMob, AppLovin, Unity Ads, ironSource — Опыт с MLOps и облачными платформами AWS, GCP, Azure — Знания в области LLMs и генеративного ИИ

Location: Baku, Azerbaijan Workplace: none PAŞA Sığorta ASC namizədləri Baş Enterprayz Arxitektor vəzifəsinə müraciət etməklə peşəkar komandanın üzvü olmağa dəvət edir. Baş Enterprayz Arxitektor şirkət miqyasında texnoloji arxitekturanın müəyyən edilməsi, idarə olunması və təkmilləşdirilməsinə cavabdeh olan strateji liderdir. Bu rol İT sistemlərinin və platformalarının biznes strategiyasına uyğunluğunu, gələcək tələblərə hazırlığını, həmçinin miqyaslanabilən, təhlükəsiz və qarşılıqlı fəaliyyətə uyğun olmasını təmin edir. Baş Memar rəqəmsal transformasiya, M&A proseslərində texnoloji yoxlama, innovasiyaların tətbiqi və arxitekturaya əsaslanan layihələrin icrasında mühüm rol oynayır. Öhdəliklər Korporativ strategiya, tənzimləyici tələblər və innovasiya gündəliyinə uyğun olaraq korporativ arxitektura vizyonunu, prinsiplərini və uzunmüddətli yol xəritəsini müəyyən etmək və davamlı olaraq təkmilləşdirmək; Arxitektura İcmal Şurasını (ARB) təsis etmək və ona sədrlik etmək; bütün arxitektura sahələri (biznes, tətbiqi proqramlar, məlumatlar, infrastruktur, inteqrasiya, təhlükəsizlik) üçün siyasətlər, prinsiplər və qaydalar müəyyən etmək; Texnoloji investisiyaların və təşəbbüslərin strateji cəhətdən əlaqəli və arxitektura baxımından davamlı olmasını təmin etmək üçün C-səviyyəli rəhbərlər, komanda rəhbərləri və məhsul sahibləri ilə tərəfdaşlıq etmək; ERP, CRM, DWH, bulud platformaları və inteqrasiya ekosistemləri daxil olmaqla, korporativ tətbiqi proqram və infrastruktur landşaftının rasionallaşdırılmasına və modernləşdirilməsinə nəzarət etmək; Süni intellekt, avtomatlaşdırma, “edge computing”, blokçeyn və s. kimi yeni texnologiyaları araşdırmaq, qiymətləndirmək, sınaqdan keçirmək və onların biznesdə tətbiq imkanlarını dəyərləndirmək; Birləşmə və satınalmalar zamanı arxitekturanın lazımi qaydada yoxlanılmasına rəhbərlik etmək; təchizatçı/platforma seçimi, autsorsinq və SaaS tətbiqi üçün arxitektura prinsiplərini müəyyən etmək; Korporativ və Həllər Memarlarına mentorluq etmək; təşkilat daxilində arxitektura səriştəsinin inkişafını (çərçivələr, təlimatlar, təcrübə icmaları) təmin etmək; Arxitektura strategiyasını və qərarlarını İdarə Heyətinə, C-səviyyəli rəhbərliyə və tənzimləyicilərə təqdim etmək; arxitekturanın strateji bir vasitə kimi əsas təbliğatçısı kimi çıxış etmək. Bilik və Bacarıqlar ERP, CRM, əsas sistemlər, DWH, API ekosistemləri, mikroxidmətlər və hibrid bulud mühitləri kimi korporativ sistemlər haqqında dərin biliklər; Rəqəmsal transformasiya, bulud miqrasiyası və köhnəlmiş sistemlərin modernləşdirilməsi sahəsində sübut edilmiş təcrübə; Tənzimlənən sənayelərdə (məsələn, bank, sığorta, telekommunikasiya) arxitekturaya rəhbərlik etmə təcrübəsi arzuolunandır; TOGAF 9/10 sertifikatı (tələb olunur və ya ciddi üstünlükdür); Bulud Arxitekturası sertifikatları (AWS, Azure, GCP); ITIL, ArchiMate, SAFe və ya oxşar korporativ səviyyəli çərçivələr üzrə biliklər; Kibertəhlükəsizlik, məlumatların idarə edilməsi və ya inteqrasiya sahəsində əlavə sertifikatlar üstünlükdür; Güclü strateji düşüncə və biznes strategiyasını texniki layihələrə çevirmə bacarığı; Mükəmməl liderlik, ünsiyyət və danışıqlar aparma bacarıqları; yüksək rəhbərlik və xarici təchizatçılarla inamlı işləmə bacarığı; Qeyri-müəyyənlik şəraitində güclü analitik, sistemli düşünmə və qərar qəbul etmə bacarıqları; Çoxsaylı maraqlı tərəfləri və paralel təşəbbüsləri olan mürəkkəb, matris tipli təşkilatlarda rahat işləmə bacarığı; Dil bilikləri: Azərbaycan, İngilis, Rus Təhsil və Təcrübə Ali təhsil (Kompüter elmləri, İnformasiya sistemləri, Mühəndislik və ya müvafiq sahə); Magistr dərəcələri (MBA, Korporativ Arxitektura üzrə MSc) ciddi üstünlükdür; İT arxitekturası sahəsində 10 ildən artıq təcrübə; Baş Memar və ya Arxitektura Departamentinin rəhbəri vəzifəsində ən azı 3-5 il təcrübə. Biz Sizə Təklif Edirik Dəyər yaradan işlər Qərarların qəbulunda iştirak etmək, dəyişikliklərə təsir göstərmək və şirkətin uğuruna töhfə vermək imkanı. Birlikdə güclənən komanda Peşəkar, dəstəkləyici və əməkdaşlığa açıq komanda mühitində çalışma imkanı. Davamlı inkişaf imkanları Yeni biliklər əldə etmək, təcrübənizi zənginləşdirmək və peşəkar inkişafınızı davam etdirmək üçün geniş imkanlar. Etimada əsaslanan iş mühiti Fikirlərinizə dəyər verilən, təşəbbüslərinizin dəstəkləndiyi və inkişafınıza investisiya qoyulan iş mühiti. *Yalnız ilkin seçim tələblərinə cavab verən namizədlərlə əlaqə saxlanılacaqdır. PASHA Insurance OJSC invites candidates to apply for the position of Chief Enterprise Architect and become a member of our professional team. The Chief Enterprise Architect is the strategic leader responsible for defining, governing, and evolving the enterprise-wide technology architecture. This role ensures that IT systems and platforms are aligned with business strategy, future-proofed, and optimized for scalability, security, and interoperability. The Chief EA plays a pivotal role in digital transformation, M&A technology due diligence, innovation enablement, and architecture-led delivery. Responsibilities Define and continuously evolve the enterprise architecture vision, principles, and long-term roadmap in alignment with corporate strategy, regulatory requirements, and innovation agenda; Establish and chair the Architecture Review Board (ARB); define policies, principles, and guardrails for all architecture domains (business, application, data, infrastructure, integration, security); Partner with C-level executives, Tribe Leads, and Product Owners to ensure technology investments and initiatives are strategically coherent and architecturally sustainable; Oversee the rationalization and modernization of the enterprise application and infrastructure landscape, including ERP, CRM, DWH, cloud platforms, and integration ecosystems; Scout, evaluate, and pilot emerging technologies (AI, automation, edge computing, blockchain, etc.) and assess their business applicability; Lead architecture due diligence during mergers and acquisitions; define architectural principles for vendor/platform selection, outsourcing, and SaaS adoption; Mentor Enterprise and Solution Architects; drive the development of architectural capability across the organization (frameworks, playbooks, communities of practice); Present architectural strategy and decisions to the Board, C-level, and regulators; serve as the primary advocate of architecture as a strategic enabler. Knowledge and Skills Deep knowledge of enterprise systems (ERP, CRM, Core Systems), DWH, API ecosystems, microservices, and hybrid cloud environments; Proven experience in digital transformation, cloud migration, and legacy modernization; Experience leading architecture in regulated industries (e.g., banking, insurance, telecom) is a plus; TOGAF 9/10 Certified (required or strong advantage); Cloud Architecture certifications (AWS, Azure, GCP); Knowledge of ITIL, ArchiMate, SAFe or similar enterprise-level frameworks; Any additional certifications in cybersecurity, data governance, or integration are a plus; Strong strategic mindset and ability to translate business strategy into technical blueprints; Excellent leadership, communication, and negotiation skills; confident working with executive leadership and external vendors; Strong analytical, system thinking, and decision-making skills under uncertainty; Comfortable in complex, matrixed organizations with multiple stakeholders and parallel initiatives; Language skills: Azerbaijani, English, Russian Education and Experience Higher education (Computer Science, Information Systems, Engineering, or equivalent); Advanced degrees (MBA, MSc in Enterprise Architecture) are a strong plus; 10+ years of experience in IT architecture; At least 3-5 years in a Chief or Head of Architecture role. What We Offer Meaningful Work Opportunity to contribute to the Company’s success by participating in decision-making processes and driving positive change. A Team That Grows Together Opportunity to work in a professional, supportive, and collaborative team environment. Continuous Development Opportunities Access to a wide range of learning and development opportunities to enhance your knowledge, skills, and professional experience. A Trust-Based Work Environment A workplace where your ideas are valued, your initiatives are encouraged, and your professional growth is supported. *Only candidates who meet the initial selection criteria will be contacted.

Location: Bengaluru, Karnataka, India, APAC From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. ​ During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role We’re looking for a talented Senior Software Engineer with a passion for building enterprise grade software to join the team. You will be focusing on developing world-class enterprise capabilities and features in support of our largest and most sophisticated customers. The work we do is both highly visible and critically important to the long term growth and success of Fivetran. You will have an impact across the entire product as we develop our next generation of enterprise, data governance, and solutions engineering offerings. This team is tasked with evolving a high performance extract-load-transform data integration system that enables our connector teams to ship the Fivetran ELT product using powerful abstractions. The role will challenge you to solve problems in the domains of performance engineering, data security, and cluster orchestration. You don’t necessarily need to be a subject matter expert before you join us (you will be one before you leave!). We're looking for people who can understand the key values that make our product great and implement those values in the many small decisions you make every day. This is a full-time position based out of our Bangalore office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team Technologies You’ll Use Java SQL Bazel, BuildKite, Docker, Kubernetes, Github AWS, GCP, Azure Postgres database What You’ll Do Design and implement features and performance improvements to create highly scalable distributed data pipelines on the cloud Develop, maintain, and test code Conduct design and code reviews Collaborate with peers, product managers, customer support, and other stakeholders to deliver the best product with high quality, performance, and scalability. Understand and fix challenges related to performance and scalability. Participate periodically in on-call rotation Participate in the hiring process Mentor Junior developers Make Fivetran the most reliable and secure component of our customers’ data infrastructure Skills We’re Looking For 5+ years of experience in the software industry with a passion for solving complex software engineering problems. Software engineering foundation - experience designing and developing reusable libraries and experimentation platforms for backend and frontend from scratch leveraging industry best practices. Experience working with distributed systems and cloud security concepts Demonstrated ability to write well-structured and performant code Ability to lead software and infrastructure design to satisfy project requirements Can identify design flaws in existing systems and come up with improvements Experience in code reviews, design, troubleshooting and testing Experience programming in an object oriented / systems language such as Java, C++, C# etc Hands-on experience working with any cloud technologies(AWS, GCP, Azure) and containerization methodologies like Docker, K8s. Experience interacting with continuous integration tools like Buidkite. Knowledge of observability tools like New Relic/Grafana is a plus Knowledge of Data Engineering is a plus Optional (Bonus Skills)​ Experience in data processing (ETL, ELT) and/or cloud-based platforms. #LI-HYBRID #LI-PE1 Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: London 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 QRT’s 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. As QRT’s infrastructure estate grows, maintaining accurate data on its resources, ownership and performance is increasingly important. In this hands-on role, you will build and operate the data foundations underpinning our infrastructure inventory and observability capabilities. The focus extends beyond dashboard design to creating an accurate, consistent and reliable view of the platform, its ownership and its behaviour. Your future role within QRT: Design and build data models for infrastructure and operational data, defining canonical representations for resources, ownership, capacity and utilisation. Integrate inventory, configuration, security and observability data from multiple systems into a coherent, queryable view. Keep key counts and metrics consistent across different consumers, and make data lineage, ownership and limitations explicit. Design data structures that are fast to query and easy to reason about at the scale of QRT’s estate. Automate data processing, validation and delivery, and build the tooling to detect data-quality, freshness and performance issues before consumers do. Investigate and resolve data-quality, freshness and performance issues, solving root causes rather than symptoms. Collaborate closely with infrastructure, security, engineering and observability teams to onboard new sources and improve the accuracy of the platform view. Take ownership of systems end-to-end, and adapt the platform as scale, requirements and underlying technologies change. Your present skillset: Experience building and operating production-grade data platforms, analytical data models, or large-scale data-processing applications. Strong SQL and dimensional or analytical data modelling experience, including the design of schemas that are maintainable, performant and easy for consumers to reason about. Strong Python software engineering experience, including the design of maintainable, tested production applications and scalable ETL/ELT pipelines. Demonstrated rigour around data correctness: establishing provenance, reconciling conflicting or incomplete sources, and reasoning carefully about identity, ownership and source of truth. Solid working understanding of infrastructure and observability concepts, and comfort working across data, infrastructure and observability domains. Experience operating business-critical pipelines and diagnosing data, performance and reliability issues in production. Familiarity with knowledge graphs, ontologies and taxonomies, and their application to modelling heterogeneous operational data. A strong bias towards automating repetitive work, and pragmatism in balancing correctness, performance and delivery. Excellent problem-solving and communication skills, and the ability to own outcomes across research, engineering and infrastructure teams. Preferred: A background in data science, statistics or applied machine learning, particularly applied to incomplete, noisy or inconsistent data, or to inferring missing information and identifying unusual behaviour. Experience with SQL-based analytical platforms, dbt, object storage and data catalogues. Experience with infrastructure inventory or CMDB data, ownership and capacity/utilisation modelling. Experience with metrics, logs and vulnerability data, and with observability tooling. Experience with Superset or comparable BI and data-exploration tools. Experience with Linux, containers and GitLab CI/CD. Experience with AWS services and cloud SDKs. 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.