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Location: New York; Charlotte; Atlanta; Washington D.C.; Boston Workplace: Remote WHY BACKEND ENGINEERING AT LANGFUSE Your work will have an outsized impact. Langfuse ingests terabytes of AI tracing data per day. When a Fortune 50 company instruments their application with Langfuse, they hit the infrastructure you built. Everything you ship is open source and immediately visible. The core of your role is making Langfuse fast and affordable at scale: owning the ingestion pipeline, optimizing ClickHouse data models and queries so dashboards load instantly, and building the backend abstractions that let product engineers ship data-heavy features without reinventing the plumbing each time. You will also make sure Langfuse runs everywhere. You’ll operate Langfuse Cloud across multiple production environments, and make self-hosting effortless. You will support a single Docker Compose setup to enterprise-grade Helm chart deployment.   You won’t be solving these problems alone. Langfuse is now part of ClickHouse, which means the people who built the database you’re optimizing are one channel away. Few backend roles give you that kind of access to the internals of your core datastore.   YOU WILL GROW AT LANGFUSE BY - Own and optimize our ingestion pipeline: Langfuse ingests massive volumes of tracing data through a pipeline that flows from our API to ClickHouse. You'll work on throughput, latency, reliability, and cost efficiency at every stage of this pipeline. - Make ClickHouse fast: our tracing data lives in ClickHouse. You'll design schemas, optimize merge strategies, tune batch inserts, write and review analytical queries that power dashboards and the UI. You'll become an expert on ClickHouse internals — and you'll have the ClickHouse database engineering team one channel away. - Build new infrastructure-heavy features: things like LLM-as-a-Judge (where we post-process large volumes of ingested data asynchronously), alerting at scale, client-code execution, or batch dataset operations. Build the foundation and, if you like, dip your toes into the frontend for those. - Test with real data in production: when evaluating a new ClickHouse schema, migration, or query optimization, you'll run load tests against production data to validate that changes actually improve things. We don't guess at performance. We prototype new table designs, run them in parallel on real traffic, and compare before committing. - Scale for what's next: we're growing fast and new product directions like complex long-running agent observability and real-time evaluation push the infrastructure in new ways. You'll be thinking ahead about what breaks at 10x scale.   LEARN MORE ABOUT OUR INFRASTRUCTURE - From Zero to Scale: Langfuse's Infrastructure Evolution https://langfuse.com/blog/2024-12-langfuse-v3-infrastructure-evolution — deep dive into how we went from Postgres to ClickHouse - Max talking infrastructure at ClickHouse OpenHouse Amsterdam https://www.youtube.com/watch?v=NXYQ5odATrM — recording of our CTO walking through the architecture - Architecture https://langfuse.com/handbook/product-engineering/architecture   WHAT WE'RE LOOKING FOR - Strong backend engineer who gets excited about database internals, query optimization, and distributed systems - You get excited when working with a ton of data - Experience with analytical databases, data pipelines, or high-throughput event processing. ClickHouse experience is a big plus but not required - You organize yourself. You have strong opinions about what to build and how to ship it - Comfortable reading and writing TypeScript (our backend) and SQL - Interest in open source software and genuine enjoyment talking to users about their scaling challenges - Thrives in a small, accountable team where your output is visible and matters - CS or quantitative degree preferred   Bonus points:   - Experience with ClickHouse, other OLAP databases, or observability infrastructure - Former founder - Background in building data-intensive systems at scale   PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: Remote - United States What We’re Building Honeycomb is a service for the near and present future, defining observability and raising expectations of what developer tools can do! We’re working with well known companies like HelloFresh, Slack, LaunchDarkly, and Vanguard and more across a range of industries. This is an exciting time in our trajectory, we’ve closed Series D funding, scaled past the 200-person mark, and were named to Forbes’ America’s Best Startups of 2022 and 2023! If you want to see what we’ve been up to, please check out these blog posts and Honeycomb.io press releases . Who We Are We come for the impact, and stay for the culture! We’re a talented, opinionated, passionate, fiercely inclusive, and responsible group of bees. We have conviction and we strive to live our values every day. We want our people to do what they truly love amongst a team of highly talented (but humble) peers. How We Work We are a fully distributed company, which means we believe it is not where you sit, but how you deliver that matters most. We invest in our people and care about how you orient to our culture and processes. At the same time we imbue a lot of trust, autonomy, and accountability from Day 1. #LI-Remote Little more about the team: As we continue to strengthen alignment across our go-to-market teams, we're focused on building a more connected approach to how we measure, analyze, and forecast performance across the full customer journey, from the first website visit through sales engagement to closed-won revenue. This new role, within our Revenue Operations team, will help bring that vision to life by creating a clear, shared view of the funnel that marketing, sales, customer success, and leadership can use to make more informed decisions. As a new role, you'll have the opportunity to shape how we work, partnering closely with marketing, RevOps, and the broader revenue organization to improve visibility, forecasting, and accountability across the business. What you’ll do in the role: Build full-funnel reporting that connects marketing activity in tools like HubSpot to opportunities and closed-won business in Salesforce, and make it visible to executives and teams across the organization Work with marketing and sales to define and document how attribution works, including what “influenced” versus “marketing-sourced” means and how leads are tagged as marketing-led, sales-led, or SDR-led Partner with marketing on lead scoring and how leads flow into Salesforce Improve how we measure campaign ROI so teams can see what worked, double down, and shift spend away from what didn’t Work with marketing and go-to-market teams to agree on shared metric definitions, and publish them as a single source of truth Build reports and dashboards with AI tools, refine them with stakeholder feedback, and publish final versions to our BI tool on a regular refresh schedule Dig into the data, including with AI, to surface patterns and insights nobody has asked about yet What you’ll bring to the role: About 3 to 5 years of experience, ideally in marketing, revenue operations, or a multi-hat go-to-market role Strong analytical skills, with hands-on experience in Excel and BI tools Working knowledge of marketing concepts and terms, such as MQLs The interpersonal skills to negotiate shared definitions across teams with different perspectives Curiosity about AI and how to use it in your analysis Experience in a SaaS environment Bonus: the ability to read SQL (writing it is not required) Base Salary based on level of experience $125,500 — $147,600 USD What you'll get when you join the Hive: A stake in our success - generous equity with employee-friendly stock program It’s not about how strong of a negotiator you are - our pay is based on transparent levels relative to experience Time to recharge with unlimited PTO A distributed-first mindset and culture (really!) Home office, co-working, and internet stipend Full benefits coverage for employees, with additional coverage available for dependents Up to 16 weeks of paid parental leave, regardless of path to parenthood Annual development allowance And much more... Please note we cannot currently sponsor or support visa transfers at this time. Additionally, in compliance with applicable law, all persons hired will be required to verify identity and eligibility to work. Phishing and Recruitment Scam Warning: We take your security seriously. Please be aware that recruitment scams are increasingly common and scammers may create email addresses or websites to impersonate Honeycomb employees. To help protect you: All communications will come from an @honeycomb.io email address We occasionally work with external recruiting agencies. These partners will use legitimate business email addresses— never personal accounts like Gmail or Yahoo . Our recruiting process will never ask you to provide financial or sensitive personal information, including but not limited to: Social security or tax identification numbers Credit card numbers Bank account information Diversity & Accommodations: We're committed to building a diverse, inclusive, and equitable workplace—where people of all backgrounds, identities, experiences, and abilities are welcomed, valued, and supported. We recognize that there is no single path to success and embrace nontraditional career journeys and diverse perspectives as key to building stronger, more innovative teams. We strive to ensure an inclusive experience throughout every stage of our hiring process and are happy to provide reasonable accommodations as needed. If you require accommodations or accessible formats at any point during our hiring process, please let your recruiter know. As an equal opportunity employer our hiring process is designed to put you at ease and help you show your best work. If there’s anything we can do to improve your experience, we’re always open to feedback. Privacy Notice: If you apply for a job at Honeycomb and your application is unsuccessful (or you withdraw from the process or decline our offer), Honeycomb will retain your information after your application for a period of time in accordance with local laws. We retain this information for various reasons, including in case we face a legal challenge in respect of a recruitment decision, to consider you for other current or future jobs at Honeycomb, and to help us better understand, analyze and improve our recruitment processes. For more information regarding our privacy practices please see the Honeycomb Privacy Notice . If you do not want us to retain your information, or want us to update it, please contact privacy@honeycomb.io . Please note, however, that we may retain some information if required by law or as necessary to protect ourselves from legal claims.

Location: New York; Boston; Europe Workplace: Remote Langfuse is hiring its first Product Manager. You will work with the founders to define the product vision and set the strategic direction. You will also work with Solution Architects, sales, and marketing. Your input will help shape product decisions. Engineers at Langfuse own delivery from start to finish. They help find solutions and turn them into technical requirements. They implement and launch the work. They support each launch with documentation and changelogs. They also speak directly with customers to receive feedback on features and educate the roadmap. The whole company helps shape the quarterly roadmap. The engineering team then delivers it. As Product Manager, you will look beyond the current quarter. You will build a deep understanding of our market and emerging trends. You will also study how engineers use AI to build agentic applications. You will use these insights to create clear product artifacts. They will define the user problems we want to solve and how we want to solve them. WHAT YOU WILL DO AT LANGFUSE: - Shape the product direction and translate long-term opportunities into clear priorities. - Turn customer, community, and market insights into decisions about what to build and what not to build. - Lead new product areas from research and scoping through launch. - Work closely with founders, engineers, designers on APIs, SDKs, infrastructure, UX, and documentation. - Align founders, engineering, sales, marketing, and key customers without introducing unnecessary processes. - Make the product-engineering team more effective through clear context, strong judgment, and concise written briefs. - You will own the quarterly roadmapping process and propose in which direction we should develop Langfuse. WHAT YOU WILL NOT DO: - Project Management for engineers. Everyone here can organize themselves, you do not need to do this. - Slice large projects into Linear tickets. Single engineers execute on large projects in Langfuse. - Communicate between customers and engineers. Engineers talk to customers daily. WHAT WE ARE LOOKING FOR: - An experienced PM from developer tools, observability, infrastructure, data, or a similarly technical product. - Technical enough to reason credibly about APIs, SDKs, architecture, and UX tradeoffs. - You are hands-on: you test products, you talk to users, you maybe build a small prototype. - Strong strategic thinking, prioritization, and product taste. - Comfortable with ambiguity, autonomy, and a fast-moving environment. - Pragmatic, calm, organized, and focused on shipping. - Excellent written and spoken communication. - Deeply interested in AI and already using AI tools extensively. - Experience with open source, enterprise software, or major platform shifts is a plus. PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: Remote, Germany GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As the Regional Director, Sales for Germany, you’ll lead a high-performing team of Strategic & Major Account Executive professionals to grow adoption of GitLab’s AI-powered DevSecOps platform. You’ll be responsible for managing software sales, bookings, and revenue, while building strong relationships with new and existing customers who rely on GitLab to increase developer productivity, improve operational efficiency, and reduce security and compliance risk. Reporting to the VP, Central EMEA, you’ll hire and develop top talent, set clear territory and industry strategies, and ensure your team’s sales plans align with GitLab’s overall growth goals in this market. In your first year, you’ll focus on building a strong team culture, deepening our presence with German clients, and consistently meeting or exceeding performance objectives in a fast-paced, open source software and SaaS environment. Responsibilities Lead, coach, and motivate a team of Strategic & Major Account Executives focused on the German market to deliver software sales, bookings, and revenue results Drive territory and industry planning by analyzing market dynamics, customer needs, and competitive trends to identify and execute on growth opportunities Develop and own accurate sales forecasts, territory management plans, and growth strategies that align to GitLab’s overall revenue goals Establish, track, and report on key performance metrics for the team, and take action to address gaps and improve outcomes Collaborate closely with Renewals, Marketing, and other cross-functional partners to manage pipeline health, renewal performance, and deal execution Recruit, hire, and onboard top sales talent while building and maintaining a strong pipeline of potential future hires in the region Create a high-performing, inclusive, and positive team culture through regular coaching, clear expectations, and ongoing development Educate and enable your team on GitLab’s product, pricing, AI-powered DevSecOps positioning, and key industry and regulatory factors relevant to the German market, such as data privacy, data sovereignty, and sector-specific compliance requirements Requirements Progressive experience in field sales and sales operations in an open source software, DevOps, or similar software-as-a-service environment Demonstrated success leading and developing account-focused sales teams, including hiring, coaching, and performance management Proven track record of meeting or exceeding performance objectives (revenue targets, pipeline targets, etc.) Experience building and executing go-to-market strategies for the German market, with a willingness to both lead and participate directly in selling activities Commercial and analytical skills to interpret sales performance data and adjust regional plans in ways that drive sustainable, long-term growth Practical experience working with CRM and sales/marketing tools (for example Salesforce, Clari, Marketo) to manage forecasts, territories, and pipeline Ability to analyze market trends, customer needs, and competitive dynamics to inform territory planning and team enablement Strong relationship-building, negotiation, and presentation skills, including executive-level written and verbal communication and the ability to mentor others Alignment with GitLab’s values and interest in open source, with openness to candidates who bring transferable leadership and regional sales experience from adjacent software markets 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 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; 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: 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: 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. Europe 3PL operations manager Position Overview The European 3PL Manager owns Nebius's network of external warehouses and the performance of the 3PL partners who run them. The role ensures that high-value data center hardware stored and handled by third parties is received, stored, picked and shipped to the same standard as in Nebius-operated sites. The manager controls 3PL operations through SLAs, KPIs, audits and system data, coordinates daily flows between 3PLs and internal teams (Transport, Planning, Back Office, ITDC, Security), and drives cost, compliance and continuous improvement across all external locations. Key Responsibilities 3PL Network & Partner Management Manage the portfolio of external warehouses and 3PL partners across EMEA/US/APAC. Own contracts, SLAs and rate cards together with Procurement and Legal; prepare renewals and renegotiations. Run monthly operational reviews and quarterly business reviews (QBRs) with each 3PL; agree and track improvement plans. Act as the primary escalation point for 3PL partners and for internal teams on 3PL-related issues. Operations Control Set and enforce operating standards for 3PLs: receiving, put-away, storage, picking, packing, dispatch and returns (RMA). Ensure 3PLs follow Nebius SOPs for handling heavy, fragile, high-value equipment (racks, GPU servers, HSM devices). Monitor daily operational performance through WMS data, reports and site visits; act on deviations. Lead root-cause analysis of incidents (damage, loss, mis-shipments, delays) and follow corrective and preventive actions to closure. Inventory Control & Audits Ensure inventory accuracy at external sites: cycle counts, annual stock takes and reconciliation with ERP/WMS. Organise periodic on-site audits and inspections of 3PL warehouses (process, security, safety, documentation). Coordinate with Back Office on stock discrepancies, adjustments and asset records. Support internal and external (SOX) audits for inventory held by third parties. Coordination with Internal Teams Align inbound and outbound volumes with Logistics Planning and Transport so 3PLs have capacity and labour in time. Coordinate with ITDC and Project Managers on staging, kitting and release of hardware to data center sites. Work with Security on access control, CCTV, pre-arrival information and secure-storage requirements at 3PL sites. Ensure accurate and timely data exchange between 3PL systems and Nebius ERP/WMS (integrations, ASNs, stock reports). Cost Management Own the 3PL budget: storage, handling, value-added services and accessorial charges. Validate 3PL invoices against contracts and actual activity together with Back Office; resolve disputes. Track cost per pallet / rack / movement and identify savings through consolidation, space optimisation and renegotiation. Network Development: Onboarding & Exit Assess needs for new external storage based on DC expansion plans and capacity forecasts. Lead 3PL selection (RFI/RFQ, site assessment) with Procurement and onboard new partners: SOPs, system setup, training, go-live. Manage 3PL exits and stock transfers with zero loss and full traceability. Compliance & Risk Ensure 3PL operations meet security, safety, insurance and customs requirements (e.g. bonded storage where applicable). Maintain audit-ready documentation on contracts, SLAs, audits and incidents. Identify operational and dependency risks in the 3PL network and maintain contingency plans. Team Leadership Lead 3PL / External Warehouse Specialists as the function scales; set priorities, onboard and develop them. Define workflows, responsibilities and escalation paths between the 3PL team, Warehouse Operations and Transport. Key Performance Indicators (KPIs) KPI Definition SLA compliance % of 3PL SLA targets met (dock-to-stock, order cycle time, on-time dispatch) Inventory accuracy % match between 3PL physical stock and Nebius ERP/WMS Incident rate Damage, loss and mis-shipment cases per 1,000 movements CAPA closure % of corrective actions closed by due date Audit results Score / findings from 3PL on-site audits and SOX tests Cost per unit 3PL cost per pallet / rack / movement vs. budget Invoice accuracy % of 3PL invoices matching contract and activity without dispute Expectations Autonomy: Full ownership of the 3PL network and partner performance; escalates contract, budget and major-risk decisions. Impact: Directly affects hardware availability, inventory accuracy and warehousing cost across all external sites. Leadership: Leads 3PL specialists and steers partner teams without direct authority. Travel: Regular trips to 3PL sites for audits, reviews and onboarding. Work Mode: Hybrid, with regular presence at key logistics sites. 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: 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: 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.