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Location: Amsterdam, Netherlands; Israel; London, United Kingdom About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The Product In a rapidly evolving world, trust in AI depends on AI agents being grounded in fresh, verified real-world data. Search is the foundation that makes this possible. We are building an agent-native search platform designed specifically for AI systems rather than human users. Our product provides programmatic, low-latency, and observable search APIs that AI agents use to retrieve, filter, and reason over real-world information at scale. The Role We are looking for a Senior Software Engineer to work on the web access infrastructure of a novel search engine tailored for agentic AI consumption. In this role, you will focus on making our access to public web content reliable and efficient. You will investigate how modern websites and browsers communicate across the full request lifecycle, find the root cause when a request fails or returns something unexpected, and build the fixes into production systems operating at internet scale. Your work ensures that high-quality content is consistently available to the crawling, indexing and retrieval systems downstream. In this position, your responsibility will be to Diagnose failed or degraded requests at the right layer: network and IP, TLS and HTTP/2 behavior, headers and session state, client-side scripts, or browser characteristics Analyze how websites verify and classify clients, including how client-side scripts and protocol-level behavior shape what a site serves to different clients Build clients and tooling that behave consistently and compatibly with standard browsers across all of these layers, using a real browser where a lightweight client is not enough Monitor access quality as websites change: detect regressions, find the cause, and measure success on real content rather than on status codes Build the tooling to do this at scale: traffic capture and comparison against real browsers, per-site and per-method success tracking, and the cost of each successful fetch Choose the fetch method for each host, from a lightweight HTTP client to a full browser, balancing quality against cost You may be a good fit if you Have 5+ years of experience building production systems, and are an expert in several of the following areas. The request lifecycle HTTP/1.1, HTTP/2 and HTTP/3, TLS handshakes and TLS fingerprints (JA3/JA4), and header behavior What a server can observe at each step of a request, and what a client controls at each step A debugging method, not guesses: replaying captured browser traffic, comparing against a real browser on the same network path, and changing one variable at a time Client-side analysis Reading and analyzing complex or obfuscated JavaScript, and observing what a script measures by hooking browser APIs How browser, device and network characteristics are measured (canvas, fonts, WebGL, screen and window metrics) and how consistent they are across layers Browser instrumentation and the Chrome DevTools Protocol, used as tools for investigation Running it for real Have run this in production and can give numbers: requests per day, sites or hosts, and the success rate and how you measured it Strong programming in at least one of Go, Python, Rust or C++ Strong candidates may also have experience with Working at a web data provider, a browser or web-security company, or a company that collects data from complex sources Contributions to browser networking or fingerprinting-related open-source tooling, or public write-ups of how client verification works Building or maintaining a patched browser Networks, proxies and IP reputation Internet-scale distributed systems, Kubernetes and cloud infrastructure The kind of problems you will work on A site returns a different response to our client than to Chrome on the same network path. Find out why, and fix that cause. A site changes how it verifies clients and success drops across a group of sites. Find what changed, adapt, and make the next change cheaper to catch. Switching to a browser-like network profile makes results worse on some hosts. Work out what no longer matches. We conduct coding interviews as part of the process. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Amsterdam, Netherlands About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The Product In a rapidly evolving world, trust in AI depends on AI agents being grounded in fresh, verified real-world data. Search is the foundation that makes this possible. We are building an agent-native search platform designed specifically for AI systems rather than human users. Our product provides programmatic, low-latency, and observable search APIs that AI agents use to retrieve, filter, and reason over real-world information at scale. The Role We are looking for a Staff Software Engineer to work on the runtime systems of a novel search engine tailored for agentic AI consumption. In this role, you will focus on building low-latency, high-throughput systems that serve search queries in real time. You will work on the critical path of user-facing requests, where performance, predictability, and efficiency directly impact product quality. You will design and operate systems that handle thousands of requests per second under strict latency budgets, optimising every layer from request handling to data access and response assembly. In this position, your responsibility will be to Design, implement, and operate core runtime services for serving search queries at scale Build and optimise request flows, including query processing, retrieval orchestration, and response assembly under strict latency budgets Develop systems that maintain performance and predictability under high load Optimise CPU, memory, and data access patterns in performance-critical paths Ensure reliability, observability, and predictability across production services Build well-tested systems with clear responsibilities and interaction contracts, while remaining flexible as architecture evolves Define and implement observability primitives, including structured logs, metrics, traces, and latency breakdowns Monitor throughput, latency, and resource usage, and drive improvements in performance and cost efficiency Collaborate with indexing and ML teams to integrate retrieval and ranking components, keeping ML logic decoupled from core system internals Support experimentation and iteration through controlled rollouts and rigorous benchmarking You may be a good fit if you: Have 8+ years of experience as a software engineer working on production backend systems Have strong hands-on expertise in C++ or Rust in real-world, high-load services Have built and operated high-load, low-latency user-facing systems handling thousands of RPS under strict latency constraints Understand performance at a systems level — CPU, memory, networking, and data access Have operated your own code in production: deployed it, debugged incidents, and rolled back changes when necessary Think end-to-end about request flows rather than staying within isolated components Can balance correctness, latency, and development velocity, making pragmatic tradeoffs when scope or time requires Collaborate effectively across engineering, ML, and product teams, communicating clearly in cross-functional settings Strong candidates may also have experience with: DBMS internals (open source or SaaS) and cloud infrastructure High-load web applications or large-scale APIs Performance-critical systems such as trading platforms or real-time data pipelines Low-level performance tuning and hardware-level optimisation Open-source contributions or active involvement in the engineering community Competitive programming or CTF participation SHAD or similar advanced technical programmes Conference talks or technical publications We conduct coding interviews as part of the process. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: London, United Kingdom About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The Product In a rapidly evolving world, trust in AI depends on AI agents being grounded in fresh, verified real-world data. Search is the foundation that makes this possible. We are building an agent-native search platform designed specifically for AI systems rather than human users. Our product provides programmatic, low-latency, and observable search APIs that AI agents use to retrieve, filter, and reason over real-world information at scale. The Role We are looking for a Staff Software Engineer to work on the runtime systems of a novel search engine tailored for agentic AI consumption. In this role, you will focus on building low-latency, high-throughput systems that serve search queries in real time. You will work on the critical path of user-facing requests, where performance, predictability, and efficiency directly impact product quality. You will design and operate systems that handle thousands of requests per second under strict latency budgets, optimising every layer from request handling to data access and response assembly. In this position, your responsibility will be to Design, implement, and operate core runtime services for serving search queries at scale Build and optimise request flows, including query processing, retrieval orchestration, and response assembly under strict latency budgets Develop systems that maintain performance and predictability under high load Optimise CPU, memory, and data access patterns in performance-critical paths Ensure reliability, observability, and predictability across production services Build well-tested systems with clear responsibilities and interaction contracts, while remaining flexible as architecture evolves Define and implement observability primitives, including structured logs, metrics, traces, and latency breakdowns Monitor throughput, latency, and resource usage, and drive improvements in performance and cost efficiency Collaborate with indexing and ML teams to integrate retrieval and ranking components, keeping ML logic decoupled from core system internals Support experimentation and iteration through controlled rollouts and rigorous benchmarking You may be a good fit if you: Have 8+ years of experience as a software engineer working on production backend systems Have strong hands-on expertise in C++ or Rust in real-world, high-load services Have built and operated high-load, low-latency user-facing systems handling thousands of RPS under strict latency constraints Understand performance at a systems level — CPU, memory, networking, and data access Have operated your own code in production: deployed it, debugged incidents, and rolled back changes when necessary Think end-to-end about request flows rather than staying within isolated components Can balance correctness, latency, and development velocity, making pragmatic tradeoffs when scope or time requires Collaborate effectively across engineering, ML, and product teams, communicating clearly in cross-functional settings Strong candidates may also have experience with: DBMS internals (open source or SaaS) and cloud infrastructure High-load web applications or large-scale APIs Performance-critical systems such as trading platforms or real-time data pipelines Low-level performance tuning and hardware-level optimisation Open-source contributions or active involvement in the engineering community Competitive programming or CTF participation SHAD or similar advanced technical programmes Conference talks or technical publications We conduct coding interviews as part of the process. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Remote, United Kingdom GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. Regional Director - Public Sector, UK/I As a Regional Director, UK/I Public Sector in GitLab's EMEA Sales team, you'll lead a regional Public Sector sales organization focused on driving growth across the UK and Ireland. You'll be responsible for building and executing the regional sales strategy, growing existing customer relationships, expanding the client base, and helping your team deliver against revenue goals. You'll work closely with cross-functional partners across Marketing, Customer Success, Ecosystems, and Sales to create a strong customer experience and bring GitLab's value to strategic accounts across the region. Some examples of our projects: Developing and executing regional sales plans that align territory priorities, account growth, forecasting, and team performance to support GitLab's revenue goals Building strong relationships with key decision-makers across Public Sector accounts while coaching a regional sales team to grow pipeline, close complex opportunities, and expand customer value What you'll do Leads and executes best-in-class sales strategies that exceed revenue and growth targets for the team. Ensures the sales team consistently delivers high performance, setting the standard for excellence across the organization Develops and executes strategies focused on expanding the client base within the territory Maintains close contact with assigned accounts by establishing strong relationships with key decision makers. Develops and maintains a strong executive call plan and relationship with the CXO's & Program level leaders for the account set Analyzes market dynamics in an effort to maximize existing successes and to create new sales growth opportunities Drives the transformation to a solution-selling approach. Focuses on growing our top-tier client base and positioning our offerings as transformational solutions. Cultivates a mindset that goes beyond product selling to consultative, long-term client partnerships. Prioritises customer adoption and consumption. Works directly with customers to ensure that they derive maximum value from our solutions. Support the team in fostering long-term relationships and driving customer success. Leads efforts to explore and execute verticalisation as a model for scaling. Provide strong strategic direction for the development of vertical sales teams and specialized market approaches. Prepares forecasts, territory/industry management, and growth plans Educates team on significant industry factors including competitive products, regulations, trends, customer needs, and pricing Establishes and reports on metrics to measure team performance; correct deficiencies where necessary Ensures that the sales plan is aligned with and supports the corporate revenue goal Invests time weekly to build and engage a pipeline of top talent for potential future hires Manages a team of 5-10 Strategic Account Executives; fosters a successful and positive team environment. Hires, coaches and develops top talent into the team Drives a high performing sales organisation Leads by example whilst being a role model for the team Empowers individuals to grow their own business What you'll bring Demonstrated progressive experience in field sales, operations and leadership Data-informed sales management skills, including building repeatable processes, pipeline discipline, and forecast accuracy using Salesforce (or a similar CRM). Experience selling complex, high-value software solutions and expanding customer relationships within commercial accounts. Experience selling to Fortune 500; willingness to "roll up your sleeves" and sell Demonstrated progressive experience leading field sales teams using the MEDDPICC or similar sales methodology. Strong solution selling experience and experience elevating the team to be solution sellers Proven track record of meeting or exceeding performance objectives (revenue targets, pipeline targets, etc.) Ability to exercise effective judgment, sensitivity, creativity to changing needs and situations; ability to handle a fast-paced environment and challenging workload Strong relationship building and negotiation skills Strong presentation skills; Executive level communication skills (both written and verbal) and the ability to mentor others You share our values, and work in accordance with those values. Leadership at GitLab Ability to use GitLab About the team The Regional Director reports to the Area Vice President of GitLab North Region. The Sales team at GitLab helps organizations adopt the most comprehensive AI-powered DevSecOps platform while building long-term customer relationships rooted in trust, value, and measurable outcomes. Remote-Global How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Zurich, Switzerland About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The Product In a rapidly evolving world, trust in AI depends on AI agents being grounded in fresh, verified real-world data. Search is the foundation that makes this possible. We are building an agent-native search platform designed specifically for AI systems rather than human users. Our product provides programmatic, low-latency, and observable search APIs that AI agents use to retrieve, filter, and reason over real-world information at scale. The Role We are looking for a Staff Software Engineer to work on the runtime systems of a novel search engine tailored for agentic AI consumption. In this role, you will focus on building low-latency, high-throughput systems that serve search queries in real time. You will work on the critical path of user-facing requests, where performance, predictability, and efficiency directly impact product quality. You will design and operate systems that handle thousands of requests per second under strict latency budgets, optimising every layer from request handling to data access and response assembly. In this position, your responsibility will be to Design, implement, and operate core runtime services for serving search queries at scale Build and optimise request flows, including query processing, retrieval orchestration, and response assembly under strict latency budgets Develop systems that maintain performance and predictability under high load Optimise CPU, memory, and data access patterns in performance-critical paths Ensure reliability, observability, and predictability across production services Build well-tested systems with clear responsibilities and interaction contracts, while remaining flexible as architecture evolves Define and implement observability primitives, including structured logs, metrics, traces, and latency breakdowns Monitor throughput, latency, and resource usage, and drive improvements in performance and cost efficiency Collaborate with indexing and ML teams to integrate retrieval and ranking components, keeping ML logic decoupled from core system internals Support experimentation and iteration through controlled rollouts and rigorous benchmarking You may be a good fit if you: Have 8+ years of experience as a software engineer working on production backend systems Have strong hands-on expertise in C++ or Rust in real-world, high-load services Have built and operated high-load, low-latency user-facing systems handling thousands of RPS under strict latency constraints Understand performance at a systems level — CPU, memory, networking, and data access Have operated your own code in production: deployed it, debugged incidents, and rolled back changes when necessary Think end-to-end about request flows rather than staying within isolated components Can balance correctness, latency, and development velocity, making pragmatic tradeoffs when scope or time requires Collaborate effectively across engineering, ML, and product teams, communicating clearly in cross-functional settings Strong candidates may also have experience with: DBMS internals (open source or SaaS) and cloud infrastructure High-load web applications or large-scale APIs Performance-critical systems such as trading platforms or real-time data pipelines Low-level performance tuning and hardware-level optimisation Open-source contributions or active involvement in the engineering community Competitive programming or CTF participation SHAD or similar advanced technical programmes Conference talks or technical publications We conduct coding interviews as part of the process. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Zurich, Switzerland About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The Product In a rapidly evolving world, trust in AI depends on AI agents being grounded in fresh, verified real-world data. Search is the foundation that makes this possible. We are building an agent-native search platform designed specifically for AI systems rather than human users. Our product provides programmatic, low-latency, and observable search APIs that AI agents use to retrieve, filter, and reason over real-world information at scale. The Role We are looking for a Staff Software Engineer to work on the content acquisition and crawling infrastructure of a novel search engine tailored for agentic AI consumption. In this role, you will focus on building systems that discover, fetch, and continuously refresh content from the open web and other large-scale data sources. You will design distributed crawling, scheduling, and ingestion infrastructure capable of operating at internet scale while balancing coverage, freshness, resource efficiency, and reliability. You will work on systems that process billions of URLs, manage high-throughput data flows, and ensure that high-quality content is consistently available to downstream indexing and retrieval systems. In this position, your responsibility will be to: Design, implement, and operate web-scale crawling systems for acquiring content from the internet Build ingestion workflows for internal and external data sources, including crawlers, structured feeds, and partner integrations Develop crawl scheduling, prioritisation, recrawl policies, and freshness strategies Build systems for URL discovery, deduplication, content extraction, and crawl orchestration Ensure reliable operation of crawling infrastructure under high-throughput conditions Define observability and quality metrics for crawl coverage, freshness, throughput, and content quality Monitor resource usage, bandwidth consumption, and infrastructure cost Collaborate with indexing and ML teams to ensure acquired content meets retrieval and ranking requirements Enable safe experimentation with crawling strategies and content acquisition policies You may be a good fit if you: 8+ years of experience building backend or distributed systems Strong Go or C++ expertise Experience with large-scale distributed systems (10k+ RPS, billions of URLs, high-throughput pipelines) Understanding of web protocols (HTTP, DNS, TLS), crawling, scraping, and content extraction Experience operating production systems and debugging failures in distributed environments Strong understanding of scalability, fault tolerance, and resource management Strong candidates may also have experience with: Web crawling Building streaming data pipelines and event-driven systems Kafka, Pulsar, NATS, RabbitMQ, or similar messaging platforms Designing distributed schedulers, queues, and asynchronous processing systems Spark, Flink, Beam, or MapReduce Ad tech, social networks, search engines, or other large-scale content platforms We conduct coding interviews as part of the process. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: London, United Kingdom About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The Product In a rapidly evolving world, trust in AI depends on AI agents being grounded in fresh, verified real-world data. Search is the foundation that makes this possible. We are building an agent-native search platform designed specifically for AI systems rather than human users. Our product provides programmatic, low-latency, and observable search APIs that AI agents use to retrieve, filter, and reason over real-world information at scale. The Role We are looking for a Staff Software Engineer to work on the content acquisition and crawling infrastructure of a novel search engine tailored for agentic AI consumption. In this role, you will focus on building systems that discover, fetch, and continuously refresh content from the open web and other large-scale data sources. You will design distributed crawling, scheduling, and ingestion infrastructure capable of operating at internet scale while balancing coverage, freshness, resource efficiency, and reliability. You will work on systems that process billions of URLs, manage high-throughput data flows, and ensure that high-quality content is consistently available to downstream indexing and retrieval systems. In this position, your responsibility will be to: Design, implement, and operate web-scale crawling systems for acquiring content from the internet Build ingestion workflows for internal and external data sources, including crawlers, structured feeds, and partner integrations Develop crawl scheduling, prioritisation, recrawl policies, and freshness strategies Build systems for URL discovery, deduplication, content extraction, and crawl orchestration Ensure reliable operation of crawling infrastructure under high-throughput conditions Define observability and quality metrics for crawl coverage, freshness, throughput, and content quality Monitor resource usage, bandwidth consumption, and infrastructure cost Collaborate with indexing and ML teams to ensure acquired content meets retrieval and ranking requirements Enable safe experimentation with crawling strategies and content acquisition policies You may be a good fit if you: 8+ years of experience building backend or distributed systems Strong Go or C++ expertise Experience with large-scale distributed systems (10k+ RPS, billions of URLs, high-throughput pipelines) Understanding of web protocols (HTTP, DNS, TLS), crawling, scraping, and content extraction Experience operating production systems and debugging failures in distributed environments Strong understanding of scalability, fault tolerance, and resource management Strong candidates may also have experience with: Web crawling Building streaming data pipelines and event-driven systems Kafka, Pulsar, NATS, RabbitMQ, or similar messaging platforms Designing distributed schedulers, queues, and asynchronous processing systems Spark, Flink, Beam, or MapReduce Ad tech, social networks, search engines, or other large-scale content platforms We conduct coding interviews as part of the process. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Amsterdam, Netherlands About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The Product In a rapidly evolving world, trust in AI depends on AI agents being grounded in fresh, verified real-world data. Search is the foundation that makes this possible. We are building an agent-native search platform designed specifically for AI systems rather than human users. Our product provides programmatic, low-latency, and observable search APIs that AI agents use to retrieve, filter, and reason over real-world information at scale. The Role We are looking for a Staff Software Engineer to work on the content acquisition and crawling infrastructure of a novel search engine tailored for agentic AI consumption. In this role, you will focus on building systems that discover, fetch, and continuously refresh content from the open web and other large-scale data sources. You will design distributed crawling, scheduling, and ingestion infrastructure capable of operating at internet scale while balancing coverage, freshness, resource efficiency, and reliability. You will work on systems that process billions of URLs, manage high-throughput data flows, and ensure that high-quality content is consistently available to downstream indexing and retrieval systems. In this position, your responsibility will be to: Design, implement, and operate web-scale crawling systems for acquiring content from the internet Build ingestion workflows for internal and external data sources, including crawlers, structured feeds, and partner integrations Develop crawl scheduling, prioritisation, recrawl policies, and freshness strategies Build systems for URL discovery, deduplication, content extraction, and crawl orchestration Ensure reliable operation of crawling infrastructure under high-throughput conditions Define observability and quality metrics for crawl coverage, freshness, throughput, and content quality Monitor resource usage, bandwidth consumption, and infrastructure cost Collaborate with indexing and ML teams to ensure acquired content meets retrieval and ranking requirements Enable safe experimentation with crawling strategies and content acquisition policies You may be a good fit if you: 8+ years of experience building backend or distributed systems Strong Go or C++ expertise Experience with large-scale distributed systems (10k+ RPS, billions of URLs, high-throughput pipelines) Understanding of web protocols (HTTP, DNS, TLS), crawling, scraping, and content extraction Experience operating production systems and debugging failures in distributed environments Strong understanding of scalability, fault tolerance, and resource management Strong candidates may also have experience with: Web crawling Building streaming data pipelines and event-driven systems Kafka, Pulsar, NATS, RabbitMQ, or similar messaging platforms Designing distributed schedulers, queues, and asynchronous processing systems Spark, Flink, Beam, or MapReduce Ad tech, social networks, search engines, or other large-scale content platforms We conduct coding interviews as part of the process. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: ES - Barcelona, Spain Senior Data Platform Engineer Scopely is looking for a Senior Data Platform Engineer to join our Playgami Data Platform team. At Scopely, we care deeply about what we do and want to inspire play every day - whether in our work environments alongside our talented colleagues or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing, and innovating the mobile games industry, connecting millions of people worldwide daily. Playgami builds technology for game teams across Scopely. Our Data Platform provides the shared foundation that enables teams to use data safely and reliably at scale, supporting 15+ games and 2,000+ active users across Scopely and processing more than 60TB of data per day . What You’ll Do As a Senior Data Platform Engineer, you will build and improve the shared infrastructure, tooling, and services that power data and analytics teams across Scopely. You will investigate platform needs, evaluate technical tradeoffs, and turn agreed priorities into tested code and reusable infrastructure. Working closely with data and analytics teams, Security, and Governance, you will take platform improvements from technical design through deployment and operation. Your main responsibility will be to improve the security, reliability, scalability, and efficiency of our Data Platform while making it easier for teams to build and operate their data workloads. You will lead the technical design and delivery of platform improvements, making informed tradeoffs between reliability, security, scalability, and cost as part of a shared team roadmap. Build and operate shared GCP and BigQuery infrastructure using Terraform, automated checks, and CI/CD. Build scalable, self-service platform capabilities that enable data teams to develop, deploy, and operate workloads with less manual support. Improve user and service account access, ensuring least-privilege principles and dependable approval, review, and revocation processes. Translate Security and Governance requirements into practical controls for sensitive data and data sharing. Improve Airflow and Cloud Composer reliability through troubleshooting, staged upgrades, and tested recovery processes. Improve cloud data platform performance and cost efficiency using workload and capacity insights. Build actionable monitoring and alerts, investigate incidents, and implement improvements to prevent recurring failures. Partner with teams to understand their needs, investigate platform challenges, evaluate potential solutions, and help shape the technical roadmap. Make platform workflows easier to adopt and operate through documentation, runbooks, and mentoring. Provide infrastructure, access controls, and shared tooling that help teams use data safely and reliably at scale. What We’re Looking For Experience designing, deploying, and operating production cloud or data platforms, including safe releases and recovery. Hands-on experience with GCP, BigQuery, IAM, service accounts, and Cloud Storage , or strong equivalent cloud experience. Experience authoring Terraform and CI/CD workflows , testing infrastructure changes, and resolving drift. Experience with Python for reusable automation and SQL for investigating data and workload behavior. Experience implementing and validating least-privilege access, sensitive data controls, and audit logging. Experience operating Airflow, Cloud Composer, Dagster , or a similar workflow orchestrator. Demonstrated experience reducing manual work or improving platform reliability, workload performance, or cloud costs. Strong English communication skills and experience collaborating with engineering, security, and data teams. Bonus Points Experience with BigQuery reservations, capacity management, query optimization, and cost attribution. Experience with Cloud Composer migrations or upgrades, multi-environment orchestration, and recovery testing. Experience with Workload Identity Federation, short-lived credentials, access approval integrations, or tools such as Britive and Lumos. Experience with data classification, column-level controls, masking, controlled sharing, or automated discovery of sensitive data. Experience automating and operating Looker, dbt, Fivetran, or Cube as shared platform services. Experience supporting automated data workloads, including access controls, monitoring, and cost limits. Experience using AI-assisted tools for platform automation, troubleshooting, or documentation, with appropriate testing and review. You do not need experience with every tool listed. We value production ownership, sound engineering judgement, and the ability to learn. Relevant experience can come from data platform, cloud infrastructure, software engineering, DevOps, or site reliability roles. About Scopely Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play. Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come. Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play. Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: https://www.scopely.com/ . Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official website and verify that all Talent Partner communications come from an email address ending in @ scopely.com . Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here: California Privacy Notice and EEA/UK Privacy Notice . Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.

Location: Remote - Europe About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We are looking for an experienced Transportation Logistics Specialist to manage the full scope of IT hardware logistics across Europe and beyond — including racks, servers, and other data center equipment. The role covers domestic European transport between our warehouses and data center sites, inbound international freight from suppliers in Taiwan and other origins into Europe, outbound shipments from Europe as required, and logistics to and from Israel. You will also be responsible for RMA/RMS shipments and ensuring smooth, timely delivery of hardware across all lanes. This is a hands- on, operationally focused role requiring strong attention to detail, excellent vendor management skills, and the ability to work cross-functionally in a fast-paced, global environment. Key Responsibilities Logistics Operations • Manage end-to-end transport of IT hardware — rack systems, servers, and other data center equipment — across all lanes: domestic European moves, inbound international shipments (primarily from Taiwan-based suppliers), outbound from Europe as required, and shipments to and from Israel. • Coordinate inbound freight scheduling for both domestic and international shipments, including air freight from Taiwan and other origins, managing carrier and freight forwarder selection and delivery execution to ensure on-time, damage-free arrival at European sites. • Handle all RMA and RMS shipments, including coordination with vendors, carriers, and internal teams to ensure accurate and timely processing. • Manage equipment transfers between company warehouses and data center facilities across Europe, optimising routes and minimising handling risk. • Maintain full visibility over active shipments across all lanes and proactively resolve transit issues, delays, or exceptions. • Develop contingency plans and alternative routing strategies to ensure business continuity. • Manage time-critical air freight shipments where required, including carrier selection, booking, and end-to-end tracking to ensure expedited delivery of hardware. Coordination & Documentation • Coordinate closely with data center operations teams to support staging, buffering, and just-in- time hardware deployment. • Maintain accurate in-transit inventory records and ensure proper chain-of-custody documentation for all shipments. • Manage all shipment-related documentation in relevant systems (Jira, TMS, or equivalent), ensuring records are complete, accurate, and audit-ready. • Manage customs documentation and clearance processes for all cross-border shipments, including inbound from Taiwan, transfers within Europe, and shipments to and from Israel. • Process and reconcile logistics invoices; manage payments for transportation operations, including ZIP payments to the appropriate vendors and partners. • Work with the security team to establish and maintain secure shipment protocols and ensure compliance with physical security requirements. Compliance & Quality • Ensure all shipments comply with applicable regulations — including EU transport and customs requirements for domestic European moves, EU import/export regulations for international freight, and relevant cross-border trade compliance requirements for shipments involving Israel. • Manage VAT, duties, and customs declarations for inbound and outbound international shipments in line with EU regulations. • Maintain audit-ready documentation for all logistics activities, supporting internal (SOX) and external compliance requirements. • Establish and enforce SLAs and KPIs with freight carriers, forwarders, and 3PL partners; drive accountability through regular performance reviews. • Identify and escalate compliance gaps or process deviations, implementing corrective actions as needed. Cross-Functional Collaboration • Partner with hardware engineering, procurement, finance, and data center operations to align logistics execution with deployment timelines and business priorities. • Collaborate with OEM suppliers (e.g., Giga, ASUS), primarily based in Taiwan, to coordinate international shipping windows, batch tracking, customs documentation, and inbound scheduling into European facilities. • Coordinate with teams and partners in Israel to manage inbound and outbound shipments, ensuring compliance with applicable import/export requirements. • Act as the primary escalation point for European transport-related issues across internal teams and external partners. • Drive continuous improvement initiatives through KPI tracking, root cause analysis, and process standardisation. Planning & Cost Management • Forecast transportation demand based on data center expansion plans, hardware deployment schedules, and capacity needs across European and international lanes. • Identify cost optimisation opportunities through carrier consolidation, routing improvements, and smarter scheduling. • Track and report on logistics costs across all lanes, flagging variances and recommending corrective actions. • Support data-driven decision-making through regular reporting, dashboards, and operational analytics. Requirements • 5+ years of experience in transportation, freight, or logistics management — ideally within technology, data center, or hardware supply chain environments. • Proven experience managing both domestic European and international freight operations, including LTL/FTL, and air freight shipments, carrier and forwarder relationships, and 3PL coordination. • Solid understanding of EU customs regulations, import/export procedures, and cross-border trade compliance within Europe and with non-EU countries. • Experience managing shipments to or from Israel is an advantage; familiarity with relevant customs and trade compliance requirements is a plus. • Hands-on experience with RMA/RMS shipment processes and reverse logistics flows. • Familiarity with TMS platforms, Jira, or similar systems used for shipment tracking and documentation. • Experience managing large, heavy, or high-value freight (server racks, IT infrastructure equipment) is strongly preferred. • Excellent organisational and documentation skills with a high standard for accuracy and completeness. • Strong communication and stakeholder management skills; ability to work cross-functionally across technical and non-technical teams in an international environment. • Self-starter mindset with the ability to operate independently in a remote environment. • Based in Europe; Amsterdam preferred, other EU locations considered. Must be eligible to work in the EU. • Fluency in English required; additional European languages are an advantage. Nice to Have • Experience in a hyperscaler, cloud provider, or large-scale data center build-out environment. • Experience with Asia-Pacific supply chains, particularly Taiwan-to-Europe freight lanes, including familiarity with customs brokerage, import duties, and trade compliance. • Background in supply chain analytics, reporting, or continuous improvement methodologies. • Familiarity with physical security protocols for high-value hardware shipments. • Experience working in or with logistics operations in the Netherlands, Germany, or other major Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Hyderabad, India Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Join us in our mission to transform the way people shop and eat, where impact, innovation, and growth drive everything we do. Our Information Security team enables innovation at speed—securely. As digital guardians of DoorDash, Deliveroo, and Wolt, we safeguard our systems and the data of our employees, customers, riders, and partners. We defend against emerging cyber threats and embed security into every facet of the business. From building resilient defenses and responding to incidents to empowering teams with security knowledge, we are trusted partners protecting these global brands from the inside out. About the Role The Senior Security Operations Centre Specialist offers a unique opportunity to shape our global Security Operations strategy across a global footprint of DoorDash, Deliveroo, and Wolt. This role provides the platform to optimize our technology and AI investments while pioneering new methods to protect our data, people, and partners. As we expand, your specialist capabilities will be essential to our continued success. What you’ll be doing Work in a 24/7 global security operations centre, including scheduled night and weekend shifts. Lead the triage and investigation of security alerts, including phishing, malware, network attacks, security hygiene and privacy related incidents within specified SLAs. Mentor a team of SOC Specialists, providing the necessary guidance and feedback to deliver a best-in-class security service to the business. Lead the development and continuously improve operational documentation, processes and playbooks Build and manage autonomous AI runbooks to automate and scale our alert triage capabilities. Lead incident response and escalation, ensuring lessons learned are translated into continuous security improvements. Support the design, development and review of threat-detection use-cases to identify suspicious activity across our cloud environment. Feed into the risk framework of emerging and observed threats from intelligence and / or incidents (e.g., post incident activity / repair items). Support wider security incident investigations involving Threat Intelligence and Incident Response & Digital Forensics stakeholders. Keep up to date with current security trends, advisories, publications and security research across the threat landscape Leverage metrics and KPIs to improve security posture and identify opportunities for strategic optimisation Collaborate with the team to develop and help deliver cybersecurity awareness programs for employees, emphasising incident reporting and best practices. Requirements 6–8 years of experience in SOC, demonstrating success in managing security incidents and delivering platform optimisations while acting as a technical mentor and lead for shift operations. Proven experience building threat detection capabilities in a cloud-centric, fast-moving organisation. Hands-on experience with AWS security config, SOAR, GSO, EDR/XDR, Splunk and SQL queries. Practical experience ideating, configuring, managing defensive security solutions and technical project management Committed to continuous improvement, leveraging feedback to elevate both personal and team performance. Exceptional collaborative team player and a knowledge-sharing mindset. Working knowledge of security compliance standards, e.g. ISO27001, GDPR, NIS2 and PCI-DSS. Capable of working well both independently and collaboratively, whilst keeping calm, under the pressure of an incident with potentially high impact to the business. Able to communicate effectively during or after any incident update to both technical and non-technical stakeholders. Coordinate with the US, UK and EU central security teams as required. Preferred, but not required Understanding of IAM cloud security principles Experience in a DevOps environment with familiarity of CI/CD pipelines Hands-on experience with container technologies and orchestration services Knowledge of cloud security data encryption standards and principles Why Deliveroo? At Deliveroo, you’ll do work that matters—solving real-world problems in a three-sided marketplace that’s constantly evolving. We’re food lovers, problem solvers, community organisers, proud parents, and more, brought together by a shared drive to make things better. Working here you can expect to: 🔧 Solve meaningful problems at real scale Work on a complex, always-on marketplace that impacts millions every day. 🌱See your impact, fast Ship, test and improve ideas quickly in a low-hierarchy, high-ownership environment. 🧠Grow through challenge and ownership Take on big, ambiguous problems and accelerate your career with strong support. 🌎A culture built for builders High standards, collaboration, flexible working and continuous learning. Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

Location: Abu Dhabi, UAE About Us Established in 2018, Bybit is one of the world’s leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. Powered by world-class technology and a user-first mindset, Bybit delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services, and Web3 — connecting users to the future of digital finance. Our core values define how we build. We listen, care and improve to create products and experiences that put users first. Backed by a global team of ambitious builders, problem-solvers, and innovators, we foster a high-performance and fast-moving environment where talent is empowered to drive real impact at the global scale. Supported by 24/7 multilingual customer service and a strong commitment to innovation, we are shaping the future of finance through technology, collaboration, and bold execution. Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services. About the Role We are looking for an experienced User Reach & Lifecycle professional with a strong background in the crypto industry, exceptional data-driven thinking, and proven leadership capabilities. This is a leadership pipeline position . The successful candidate will initially take ownership of key business initiatives, with the opportunity to progressively assume team leadership responsibilities based on performance and demonstrated capabilities. The ideal candidate should have a deep understanding of crypto user behavior, trading products, and market dynamics, with the ability to drive the evolution of user engagement toward data-driven personalization, intelligent recommendations, and automated reach . Key Responsibilities User Lifecycle Management Develop systematic lifecycle engagement strategies covering registration, KYC, first deposit/trade, activation, retention, churn prevention, and reactivation. Segment users based on behavioral data, trading activity, asset holdings, and product preferences to deliver targeted engagement strategies. Optimize lifecycle conversion funnels to improve trading activity, retention, reactivation, and long-term user value. Personalization & Intelligent Recommendations Design personalized engagement strategies and recommendation logic based on user behavior, interests, lifecycle stages, and real-time context. Collaborate with Product, Data, and Algorithm teams to develop and implement user profiling, recommendation rules, and intelligent decision-making capabilities. Establish recommendation prioritization, user-content matching, and performance evaluation mechanisms to improve relevance and conversion. Market & Trading Scenario Engagement Develop systematic market-triggered engagement strategies based on price movements, market trends, asset holdings, watchlists, and trading preferences. Build real-time or near-real-time engagement triggers and optimize message relevance, timing, and frequency. Improve the alignment between market insights and user interests to drive trading engagement and conversion. Automated Reach & Engagement Develop intelligent and automated engagement strategies across Push, Email, Inbox, In-App, Banner, Popup, and other owned channels. Design automated engagement scenarios and trigger logic based on user lifecycle stages, behavioral signals, and market events. Establish cross-channel prioritization, frequency capping, suppression rules, and channel orchestration to improve efficiency and user experience. Drive the implementation and scaling of automated engagement capabilities while reducing manual operations. Data Analytics & Business Growth Establish key performance metrics for user engagement and lifecycle management, leveraging funnel analysis, user segmentation, cohort analysis, and A/B testing. Evaluate engagement effectiveness and incremental business impact to continuously optimize strategies. Drive measurable improvements in user activation, trading conversion, retention, and reactivation. Project Leadership & Team Management Lead complex cross-functional initiatives involving Product, Data, Algorithm, Engineering, and business teams, ensuring successful execution and measurable outcomes. Develop clear project roadmaps, priorities, and milestones while proactively resolving execution challenges. Demonstrate strong people management and talent development capabilities, with the potential to take on broader team leadership responsibilities. Requirements 5+ years of relevant experience in crypto exchanges , with a deep understanding of exchange products, business models, and user lifecycles. Proven experience in personalization, recommendation systems, intelligent CRM , or algorithm-driven growth projects , with the ability to design and implement effective engagement strategies. Exceptional data sense and analytical thinking , with strong capabilities in user behavior analysis, segmentation, conversion funnels, and experimentation. Strong understanding of crypto trading behaviors, asset preferences, market sensitivity, and core trading products, including Spot and Derivatives. Hands-on experience building automated engagement or lifecycle management frameworks, with a track record of scaling operational strategies. Previous people management experience , including goal setting, team development, and cross-functional collaboration. Strong project ownership and execution capabilities , with a proven track record of driving complex initiatives from 0 to 1 and delivering measurable business results. Highly ambitious, resilient, results-oriented, and accountable , with the ability to thrive in a fast-paced, high-pressure environment. Fluent in both English and Chinese as working languages , and willing to be based in Abu Dhabi, UAE. Why Join Us At Bybit, we are committed to fostering a supportive and enriching work environment. Our benefits include: - Study Growth Fund: We support your professional development and continuous learning. - Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation. - Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world. - Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company. - Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal job opportunities to help build your career path.

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Location: Dubai, UAE About the Team: In this role, you will contribute to Cloudflare's revenue generation engine by delivering pipeline at scale to the Sales counterparts. You will do this through a maniacal focus on people, process, and tools. The Business Development organization is anchored in a culture focused on the development & training of its employees, incubating talent across the company, teamwork, and celebrating success. With flawless execution, we believe the Business Development organization will be a competitive differentiator for Cloudflare. This is a great opportunity to be a member of our high performing Sales team at a hyper-growth technology company. The Business Development Representative (BDR) will: Be the first point of contact for customers that need help finding solutions Develop your customer centric sales skills to deliver a stellar customer experience Learn Cloudflare’s products and services in detail Similar to other roles that Cloudflare, this role has a tenure requirement of 18-24 months before you may be eligible to apply for another role within the company. About the Role Languages required: English This is a great opportunity to be an early member of a high performing sales team at a fast growing technology company. We are looking for ownership-oriented team members with excellent communication skills and technical curiosity. As the Business Development Representative (BDR), you will: Create excellent customer experiences Learn customer-centric sales skills Become an expert in Cloudflare’s product Team members have opportunities to move into roles across the organization, especially in mid-market sales, customer success, solutions engineering, and sales operations Day in the Life of BDR at Cloudflare Own and meet target quota related to number of qualified opportunities, response SLA, value of sales pipeline, and revenue Develop new business opportunities from inbound and marketing-generated leads Discover pain points and use case, map them to broad set of Cloudflare solutions and qualify for Enterprise sales opportunities Work cross-functionally with stakeholders (account executives, marketing, sales operations, fellow BDRs) Report, track, and manage sales activities and results using SFDC Play an active role in the creation and iteration of team processes Examples of desirable skills, knowledge and experience 2+ years of experience working as a BDR in a similar capacity in technology industry in the Africa & South Africa region (experience in SaaS will be a plus) Self-motivated; entrepreneurial spirit Ability to work as part of a team or independently Analytical, organization and time management skills Comfortable working in a fast-paced, dynamic environment Strong interpersonal communication skills Customer-oriented mindset with empathy and curiosity Aptitude to learn technical concepts/terms Ability to manage multiple tasks/projects simultaneously Experience in Outreach and Salesforce is a plus What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: Mississauga, Ontario Workplace: hybrid Job Title: Director, People Strategy and HR Portfolio (Project) Management  Location: Mississauga, ON - Hybrid   **Travel to Office expectations** For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role.   At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare.   With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work.    At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey.   Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn.   About the Team The People Strategy & Transformation (PST) is PointClickCare's HR strategy, organizational design, and portfolio management pillar. The team includes HR Business Partners, Organizational Design & Effectiveness, People Experience, and the HR Strategy & Enablement function, with a dotted-line partnership to Internal Communications. PST is responsible for ensuring HR's work across every Center of Excellence is planned, resourced, sequenced, and tracked against business outcomes — spanning a portfolio of Pillar Initiatives, Cross-Pillar Projects, and Program Roll-Ups delivered across all four HR solution groups.   Position Summary: The Director, People Strategy and HR Portfolio (Project) Management s is the VP, People Strategy & Transformation's strategic thought partner in building and running PointClickCare's HR Portfolio Management Office (HR PMO) — co-designing the strategy, governance model, capacity methodology, and dashboard reporting that let HR plan, resource, and track its work against business outcomes. This is a net-new function: no HR PMO currently exists at PointClickCare, and this role will design these mechanics in partnership with the VP rather than operate a system someone else has already built. Operating with significant design authority but without direct reports or final decision rights on cross-functional trade-offs, this role earns influence through the credibility of the mechanics it builds and runs. It operates across all four HR solution groups without formal authority over any of them, serves as the VP's thought partner on HR strategy and the HR SLT prioritization process, and convenes HR initiative stakeholders and Internal Communications to coordinate how HR's work reaches the business.   Key Responsibilities: Design and run the HR Portfolio Management Office’s core operating mechanics Design and maintain the capacity management methodology, including the heat map model and the oversubscription thresholds used to flag resourcing conflicts across HR COEs Own and run the Portfolio Council governance cadence end to end — intake, capacity check, tier assignment, publish, mid-quarter check, and close-out Build and maintain the integrated HR initiative dashboard, ensuring data currency and accuracy across every active Pillar Initiative, Cross-Pillar Project, and Program Roll-Up Example deliverable: a quarterly Portfolio Council capacity heat map showing every HR COE’s current initiative load, used to approve or defer new initiative intake Serve as strategic thought partner to the VP, People Strategy & Transformation Co-design the HR SLT prioritization process and criteria used to evaluate and sequence HR initiatives each planning cycle Co-design the OKR and scorecard measurement architecture — what gets measured, how it rolls up, and the cadence it runs on Co-author and stress-test the HR Strategy on a Page, contributing independent analysis before it is finalized by the VP Example deliverable: a documented HR SLT prioritization framework — criteria, weighting, and process — adopted for the FY28 planning cycle Own capacity management and project plan oversight across the full HR initiative portfolio Track progress against committed business outcomes, not activity completion alone, across every active HR initiative Maintain consistent project plan structure, milestone tracking, and dependency mapping in partnership with each initiative’s named Delivery Lead Proactively surface cross-COE capacity collisions and resourcing conflicts before they reach Portfolio Council Example deliverable: a consolidated project plan view across all active Program Roll-Ups, flagging dependency risk before it affects a committed milestone Convene HR initiative stakeholders and Internal Communications on a recurring cadence Establish and run a recurring go-to-market coordination cadence bringing together initiative Delivery Leads and Internal Communications Sequence the timing and stakeholder readiness of HR initiative rollouts to the business, avoiding duplicate or conflicting messages landing in the same window Maintain a shared go-to-market calendar visible to HR SLT, showing what is launching, when, and to whom Example deliverable: a quarterly HR go-to-market calendar sequencing every planned initiative rollout to the business, reviewed and approved by HR SLT before the quarter begins Represent HR in enterprise planning and governance forums Serve as the primary operational liaison to the Strategic Delivery Office, aligning HR’s initiative classification and intake practices to enterprise taxonomy Represent HR’s initiative portfolio and capacity picture in the Corporate Strategy Group’s quarterly planning cadence Flag enterprise-level dependencies or conflicts affecting HR’s ability to deliver against committed priorities Example deliverable: HR’s consolidated initiative and capacity submission into the Corporate Strategy Group’s quarterly planning sprint, reflecting current Portfolio Council status   Required Skills & Qualifications: 10–15 years of experience in program/portfolio management, management consulting, or a PMO leadership capacity, including demonstrated experience designing — not only operating — portfolio governance, capacity management, or OKR measurement systems A track record serving as a strategic thought partner to a senior leader, with evidence of shaping that leader's thinking rather than only executing direction Demonstrated experience operating in matrixed, cross-functional environments without formal authority over the teams being coordinated Strong data and dashboard fluency — comfortable architecting reporting tools and the metrics model behind them, not just maintaining an existing build Executive-level communication skills — this role prepares materials for and interacts directly with VP-level stakeholders across every HR pillar Experience convening cross-functional stakeholder groups to coordinate sequencing and alignment on complex, multi-team initiatives   Preferred Experience: Experience building a PMO or governance function from scratch, in a design capacity, rather than operating within an already-mature one HR domain experience, including familiarity with COE structures and business-outcome-linked workforce initiatives Experience partnering with internal communications or marketing functions on coordinated, multi-stakeholder rollouts   At PointClickCare, base salary is one of the many components that make up our total rewards package. The Canada base salary range for this position is $127,000 - $158,700 + bonus + benefits. Our salary ranges are determined by job and level. The range displayed on each job posting reflects the target for new hire salaries for the position across all Canada locations. Within the range, individual compensation is determined by job-related skills and knowledge, relevant experience including professional and lived experience, and/or work location. Your recruiter can share more information about our total rewards package during the hiring process.   PointClickCare Benefits & Perks Benefits starting from Day 1 Retirement Plan Matching (RRSP & 401K) Flexible Paid Time Off Lifestyle/Wellness Spending Account Parental & Caregiver Leaves Fertility & Adoption Support Continuous Development Support Program Employee Assistance Program Learning Programs & Resources Employee Recognition … and more!   Equal Employment Opportunity: It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations.   When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it.  If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: recruitment@pointclickcare.com    PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information.   #LI-Hybrid

Location: Remote Canada At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. As a Machine Learning Engineer on our team, you will be at the forefront of developing high-quality, production-ready models that play a central role in our decision-making processes. Your contributions will be instrumental in shaping our financial landscape. If you have a strong interest in machine learning and enjoy challenging work, Affirm is the place for you! What you'll do Use Affirm’s proprietary and other third party data to develop machine learning models that predict the likelihood of default and make an approval or decline decision to achieve business objectives Partner with platform and product engineering teams to build model training, decisioning, and monitoring systems Research ground breaking solutions and develop prototypes that drive the future of credit decisioning at Affirm Implement and scale data pipelines, new features, and algorithms that are essential to our production models Collaborate with the engineering, credit, and product teams to define requirements for new products What we look for 2+ years of experience as a machine learning engineer or PhD in a relevant field Proficiency in machine learning with experience in areas such as Generalized Linear Models, Gradient Boosting, Deep Learning, and Probabilistic Calibration. Domain knowledge in credit risk is a plus Strong engineering skills in Python and data manipulation skills like SQL Experience using large scale distributed systems like Spark or Ray Experience using open source projects and software such as scikit-learn, pandas, NumPy, XGBoost, Kubeflow Experience developing machine learning models at scale from inception to business impact Excellent written and oral communication skills and the capability to drive cross-functional requirements with product and engineering teams The ability to present technical concepts and results in an audience-appropriate way Persistence, patience and a strong sense of responsibility – we build the decision making that enables consumers and partners to place their trust in Affirm! Pay Grade - L Equity Grade - 5 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company). CAN base pay range per year: $133,000 - $183,000 Location - Remote Canada This remote role is open only to candidates residing in Alberta, British Columbia, Manitoba, New Brunswick, Newfoundland and Labrador, Nova Scotia, Ontario, Prince Edward Island, or Saskatchewan. #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Location: United States, Remote Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Staff Software Engineer – Data Do you want to join a team of talented engineers building the next generation of real-time data platforms that power analytics and data-driven experiences across PlayStation? As part of our Data Platform team, you will play a key technical leadership role in designing and evolving the Real-Time Analytics Platform (RTAP), enabling high-throughput, low-latency analytics and stream processing at PlayStation scale. The Software Engineers within our Platform Engineering Group design, build, document, and operate large-scale distributed data platforms that support real-time and near real-time analytics across PlayStation. You will solve complex distributed systems challenges, evolve our streaming and analytics architecture, integrate AI-powered platform capabilities, and improve scalability, reliability, performance, and developer productivity. We’re looking for someone who is passionate about distributed systems, real-time analytics, and building scalable data platforms. You will work closely with Engineering, Product, Infrastructure, Security, and Data Engineering teams to shape technical strategy, influence architecture across organizations, mentor engineers, and help drive the long-term evolution of PlayStation’s data platform. Responsibilities · Design, build, and operate large-scale distributed data systems that power real-time and near real-time analytics,, and data-driven applications across PlayStation. · Lead the architecture and evolution of RTAP’s stream processing and analytics platforms, improving scalability, reliability, performance, and developer productivity. · Own critical platform capabilities end-to-end from architecture and implementation through production operations, performance optimization, reliability, and lifecycle management. · Build and optimize distributed data services using technologies such as Apache Flink, Spark Structured Streaming, ClickHouse, and Apache Druid to support high-throughput, low-latency workloads. · Partner with Data Engineering teams to integrate batch and streaming workloads using modern lakehouse architectures and build interoperable, scalable data platforms. · Build AI-powered capabilities to automate engineering workflows, improve data quality, simplify platform operations, accelerate troubleshooting, and enhance developer productivity. · Establish technical standards and engineering best practices for distributed systems, stream processing, data modeling, query optimization and platform reliability. · Mentor engineers across the organization by reviewing architecture, designs, and code while raising the technical bar through coaching and technical leadership. · Partner with Product, Infrastructure, Security, and Platform Engineering teams to define long-term technical strategy and deliver scalable platform capabilities aligned with business priorities. · Investigate and resolve complex production challenges involving high-throughput, low-latency distributed systems, ensuring high availability and operational excellence. · Participate in the team's production support and on-call rotation, leading incident response, conducting root-cause analysis, and implementing reliability improvements that strengthen the platform over time · Evaluate emerging technologies and distributed data platforms, recommending investments that improve scalability, reliability, developer productivity, and cost efficiency. Requirements · Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. · 8+ years of experience designing and building large-scale distributed systems, with expertise in real-time data processing, analytics, or data platform engineering. · Strong proficiency in Python , with experience building production-grade distributed systems and data processing applications. Experience with Scala is beneficial for supporting and evolving existing platform components. · Hands-on expertise designing and operating large-scale stream processing applications using Apache Flink , Apache Spark Structured Streaming , or equivalent distributed streaming technologies. · Production experience designing, operating, and optimizing distributed analytics platforms using ClickHouse , Apache Druid , or equivalent high-performance OLAP/analytics databases, including query optimization, data modeling, and performance tuning at scale. · Experience building and consuming event-driven data pipelines using AWS MSK , Apache Kafka , or equivalent messaging platforms, with a focus on developing reliable, scalable data processing applications. · Experience applying AI/ML techniques and modern AI tooling to automate engineering workflows, improve data pipelines, simplify platform operations, and enhance developer productivity. · Strong systems design skills with the ability to evaluate architectural trade-offs across scalability, latency, throughput, consistency, reliability, and cost. · Demonstrated technical leadership through architecture ownership, mentoring engineers, and influencing technical decisions across multiple teams. Nice to Have · Experience with Databricks , Apache Iceberg , or modern lakehouse architectures, with the ability to design and integrate batch and streaming workloads into scalable, production-grade data platforms. · Experience building or operating multi-tenant, self-service data platforms supporting multiple engineering organizations. · Experience collaborating with globally distributed engineering teams across multiple organizations and time zones to deliver shared platform capabilities and drive technical alignment. Your First 90 Days 30 Days: Develop a strong understanding of the platform’s architecture, capabilities, engineering practices, and roadmap.Begin contributing to architecture discussions, feature development, design reviews, and production support.Build relationships within the team as well as across  the Data Platform organization. 60 Days: Take technical ownership of a major platform capability or architectural area. Identify opportunities to improve scalability, performance, reliability, or developer productivity.Collaborate with Data Engineering, Infrastructure, Product, and other partner teams on cross-platform initiatives. 90 Days: Lead the design and delivery of key roadmap initiatives for the team..Influence technical direction across teams and mentor engineers on distributed systems and platform engineering best practices.Establish clear architectural recommendations for the next phase of the platform’s evolution. In 90 days, you will have a detailed understanding of the Real-Time Analytics Platform and its role within PlayStation’s broader data ecosystem. You will be comfortable owning complex distributed systems initiatives, partnering closely with Product and Engineering teams, and driving large-scale solutions from architecture through production delivery. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $198,200 — $297,400 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: London, United Kingdom Workplace: hybrid About us At Xelix, we work with some of the world’s largest companies to automate and strengthen their financial controls. Our AI solutions redefine how Accounts Payable teams operate – moving from manual processes to automated, intelligent workflows. Xelix is a fast-paced scale-up – things move fast and expectations are high. We raised our Series B with Insight Partners in June 2025 and are expanding aggressively. We have a team of over 150 talented people pulling together to achieve our goals. Everyone is trusted to take ownership, move fast and have a meaningful impact. We prioritise personal and professional growth, keep things fun, and love to celebrate a milestone together. In this role you’ll grow, be challenged and help shape the future of Xelix. If you’re excited about building something special with us, we’d love to hear from you. About the role We’re hiring a Data Engineer to join our growing Platform Team and help shape the data foundations behind our products. As our customer base and data volumes grow, you’ll make sure our production data architecture, pipelines and storage remain reliable, scalable and cost-effective. This is a hands-on role focused on the systems that power our products, rather than internal BI or building a company-wide data warehouse. You’ll improve data models and database performance, help us choose the right storage and processing tools for each workload, and strengthen data quality and retention practices. Projects could include moving large and non-operational data out of PostgreSQL, improving pipeline orchestration with Prefect, and evolving our search and analytical capabilities with technologies such as OpenSearch and column databases. You’ll bring the experience and judgement to assess our current architecture independently, constructively challenge established practices, identify the most valuable improvements, and take them from proposal through to production. Working closely with product engineers, AI engineers and DevOps, you’ll combine practical delivery with longer-term architectural thinking. Whether you’re an experienced mid-level engineer ready for broader ownership or already operating at senior level, this is an opportunity to take a dedicated data engineering role with a meaningful impact on how Xelix scales. At senior level, you’ll lead data architecture decisions across teams and own the roadmap for improving our production data systems. What you'll be doing Improve our production data architecture. Build reliable pipelines with tools such as Prefect. Optimise PostgreSQL performance and data models. Choose the right storage, search and processing tools. Improve data quality and retention practices. Deliver changes alongside product, AI and DevOps teams. Strengthen data access, retention and auditability in partnership with security, compliance and engineering teams. What you’ll bring Professional experience owning the architecture of production data systems in AWS and their improvements. Experience with data access controls, retention and auditability requirements in regulated environments (SOC 1, SOC 2, HIPAA, ISO 27001 or similar). Good judgement on storage and processing trade-offs. Clear communication and a hands-on, collaborative approach. A focus on reliability, data quality and security. Strong SQL, PostgreSQL and data modelling skills. Experience with NoSQL databases (like MongoDB, DocumentDB or DynamoDB) and warehousing solutions (like DuckDB, ClickHouse, Redshift) Solid Python and data pipeline engineering skills. Confidence using AI tools for development, investigation and documentation, with sound judgement about their value and limitations. What we offer in return 💰 Competitive salary of £50,000-£70,000 depending on experience 🏝️ 27 days of annual leave (including 3 days Christmas closing), with the option to roll over 3 days 🏡 Hybrid working with one day a week from our dog-friendly Hoxton office and on-site gym 🏥 Comprehensive private medical & dental cover with Vitality 🍼 Enhanced parental leave pay 📚 Learning & development culture – £1,000 personal annual budget 🌍 We’re carbon-neutral and are working towards ambitious carbon reduction goals 🎯 Lots of team socials & activities ☀️ Annual team retreat Want to learn more? About us Xelix blog Xelix news Xelix glassdoor We believe that people from diverse backgrounds, with different identities and experiences make our company and product better. No matter your background, we'd love to hear from you! And if you have a disability, please let us know if there's any way we can make the interview process better for you - we're happy to accommodate! If you're a recruiting agency - we have an existing list of agencies we work with and we are not currently planning on expanding the list. Neither the Talent team nor hiring managers or the Support team will respond to cold outreach. This is a full-time position, with standard working hours from 9:00 AM to 6:00 PM, Monday through Friday. Interview Process While the exact process may vary slightly depending on the role, our typical interview stages are: Introductory Call – A short Teams conversation with a Talent Partner to discuss your background and the opportunity. Hiring Manager Interview – A 30–45 minute Teams meeting to explore your experience and fit for the team. Technical Task or Presentation – A role-relevant exercise to demonstrate your skills and approach. Final On-site Interview – An in-person meeting with our senior leadership team and co-founders at our office. We strive to make the process clear, efficient, and respectful of your time. We welcome the responsible use of AI for research and interview preparation, but ask that it isn't used to generate answers during live interviews. We also believe in being transparent - we use Metaview's AI note-taker during interviews so our interviewers can stay fully present. If you'd prefer us not to use it, just let your interviewer know. While you may need to answer eligibility questions as part of your application, we do not use AI to review or make decisions on applications - every application is reviewed fairly by a member of our Talent team.

Location: Madrid Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW As a Mid Market Account Executive at Harvey, you will drive the growth and success of our AI solutions within the legal and professional services markets. You will be responsible for establishing and growing relationships with mid-sized law firms and corporate and financial services clients across Spain, understanding their unique challenges, and presenting AI solutions that streamline their processes and boost productivity. Your ability to articulate the value of Harvey's products, coupled with your passion for groundbreaking AI technologies, will help us shape the future of knowledge work. WHAT YOU'LL DO - Own your book of business by managing a named account list, prioritizing and cultivating inbound leads, and outbounding directly to high-potential prospects. - Manage the full customer lifecycle from prospecting to contracting, onboarding, growing, and renewals. - Achieve and exceed revenue targets and other key sales metrics. - Build strong relationships with key decision-makers and stakeholders, understanding their pain points and aligning Harvey's solutions with their needs. - Conduct high velocity, tailored client evaluations, including product demonstrations and presentations, showcasing the power of Harvey's AI systems to prospects and clients. - Effectively work cross-functionally across the organization to shape Harvey’s solutions to meet customer needs. Collaborate closely with the engineering and product teams to stay updated on the latest AI advancements and tailor solutions to meet client goals. - Develop our sales playbook to enable scaling, documenting learnings that can be applied across accounts. - Travel may be required from time to time, including visits to customer office locations and company offices. WHAT YOU HAVE - Proven track record of selling complex software solutions, with the ability to successfully execute on a consultative, solutions-oriented, value-based selling methodology. - Excited about prospecting, and capable of independently leading a sales cycle from start to finish. - Ability to independently manage a pipeline, accurately forecast key sales performance metrics, and consistently maintain CRM hygiene. - Ability to lead a complex, multi-threaded sale with stakeholders ranging from executives across various functions to day-to-day product users – especially the ability to convey technical concepts to non-technical audiences. - Demonstrated passion for Harvey’s mission and strong understanding of AI and its potential applications in knowledge work. Interest in the legal profession and helping lawyers do their jobs better and more efficiently. - Team player who can collaborate effectively across internal functions (product, legal, etc.) to achieve common goals. - Energized by contributing to the development of our team, sales processes, and culture, refining the value proposition of our solutions and creating sales resources to drive our success. - Fluency in English and Spanish, both spoken and written - Experience working in or adjacent to the Legal industry a plus but not required. DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-KS2 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai