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Location: Global We are the creators of a new fintech era! Our mission is to change this world by making blockchain accessible to everyone in everyday life. WhiteBIT is a global team of over 1,200 professionals united by one mission — to shape the new world order in the Web3 era. Each of our employees is fully engaged in this transformative journey. We work on our blockchain platform, providing maximum transparency and security for more than 8 million users worldwide. Our breakthrough solutions, incredible speed of adaptation to market challenges, and technological superiority are the strengths that take us beyond ordinary companies. Our official partners include the National Football Team of Ukraine, FC Barcelona, Lifecell, FACEIT and VISA. The future of Web3 starts with you: Join us as an General QA engineer! Requirements Education & Experience Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related STEM field. 3+ years of experience in QA Engineering or Software Testing in a high-throughput or low-latency environment. Experience with quantitative systems, HFT, trading platforms, or financial applications is highly preferred. Core Technical Skills Strong knowledge of software testing methodologies, SDLC best practices, and quality assurance processes. Experience testing REST APIs and WebSocket-based services. Proficiency in SQL for data validation, troubleshooting, and debugging. Experience with API testing tools such as Postman. Hands-on experience with monitoring and observability tools such as Grafana, Prometheus, or Kibana. Confident working knowledge of Linux command-line tools, logs, system utilities, and process monitoring. Experience working with Docker. Proficiency in scripting or programming languages such as Python or Java. Experience with test automation frameworks and libraries such as Pytest, Selenium, or Pandas. Familiarity with version control systems and CI/CD workflows. Experience with automated testing, continuous integration, and deployment processes. Trading & Quantitative Systems Knowledge Understanding of market microstructure and trading products, including spot, futures, and swaps. Familiarity with low-latency and high-frequency trading systems. Strong understanding of mathematics, statistics, and numerical methods relevant to quantitative trading. Ability to reason through quantitative problems and collaborate effectively with researchers, developers, and analysts. Analytical & Problem-Solving Skills Strong analytical and problem-solving skills. Ability to independently investigate and solve complex technical issues. Strong focus on quality, reliability, and system performance. Experience working with complex distributed systems is an advantage. Mindset & Soft Skills Strong interest in technology, quantitative finance, and continuous learning. Team-oriented mindset with strong communication and collaboration skills. High level of ownership, reliability, and attention to detail. Predictable availability to support stable operation of production trading systems when required. Responsibilities As a QA Engineer, you will be part of a high-performance team responsible for developing and maintaining low-latency infrastructure, HFT and quantitative systems, and real-time risk management tools. You will work closely with developers, analysts, researchers, and system engineers to ensure system reliability, scalability, performance, and quality. Key Responsibilities: Design, develop, and execute comprehensive test plans for trading infrastructure and internal tools. Build and maintain automated test suites for real-time quantitative systems and APIs. Ensure adequate test coverage for low-latency, high-availability, and scalable systems. Collaborate with developers and analysts to clarify requirements, identify edge cases, and align testing with business and technical objectives. Investigate, reproduce, and debug issues in complex distributed systems. Contribute to performance testing, latency benchmarking, and system monitoring. Support CI/CD pipelines through automated testing strategies. Maintain high standards of test documentation and test coverage. Working terms Immerse yourself in Crypto & Web3:Master cutting-edge technologies and become an expert in the most innovative industry. Master cutting-edge technologies and become an expert in the most innovative industry. Work with the Fintech of the Future: Develop your skills in digital finance and shape the global market. Take Your Professionalism to the Next Level: Gain unique experience and be part of global transformations. Drive Innovations: Influence the industry and contribute to groundbreaking solutions. Join a Strong Team: Collaborate with top experts worldwide and grow alongside the best. Work-Life Balance & Well-being: Modern equipment. Comfortable working conditions, and an inspiring environment to help you thrive. 24 calendar days of paid leave. Additional days off for national holidays. With us, you’ll dive into the world of unique blockchain technologies, reshape the crypto landscape, and become an innovator in your field. If you’re ready to take on challenges and join our dynamic team, apply now and start a new chapter in your career! Let’s Build the Future Together! WhiteBIT offers all candidates an equal opportunity to join the team. All hiring decisions are made without regard to race, national origin, gender identity or sexual orientation, age, religion, disability, medical condition, marital status, familial status, veteran status, or any other legally protected characteristic of an individual. Your privacy matters to us. You can learn more about how we handle your personal data with regard to your application in our Candidate Privacy Notice .

Location: New York, NY (HQ); Remote (Canada); Remote (US) Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE Getting paid is still one of the most manual parts of running a business. Finance teams chase invoices over email, match payments to invoices by hand in spreadsheets, and close the books late because cash data is scattered across banks, payment processors, and ERPs. Ramp's Accounts Receivable team is building the system that automates all of it, from the moment an invoice is sent to the moment cash is reconciled in the general ledger. We own the full receivables lifecycle: invoicing, collections, payments, cash application, and accounting sync. We're looking for a senior backend engineer to own core pieces of that system. The work sits where hard engineering problems meet real money: matching messy payment data to the right invoices, keeping ledgers correct to the cent, and syncing reliably with the accounting systems our customers depend on. You'll own projects end to end, from design through production, and work closely with product and design to turn complex finance workflows into software that just works. WHAT YOU’LL DO - Build the payment-matching systems that automatically apply incoming ACH, wire, card, and check payments to the right invoices, even when payment details are incomplete or inconsistent - Design accurate data models where every dollar is traceable from invoice to payment to general ledger - Build two-way integrations with ERPs like NetSuite and QuickBooks that stay consistent through retries, partial failures, and edits on either side - Build collections workflows that help businesses get paid faster without hurting their customer relationships - Own projects from problem definition and technical design through launch, monitoring, and iteration - Raise the engineering bar through design reviews, code reviews, and mentorship WHAT YOU’LL NEED - Product sense: you care about the customer problem, not just the ticket, and you push back when the spec is wrong - Experience designing and operating production backend systems, including APIs, data models, and asynchronous workflows - Strong system design judgment and the ability to balance speed, correctness, reliability, and simplicity - A track record of independently owning complex projects and shipping high-quality software - Strong communication skills and a collaborative approach to technical decisions NICE TO HAVES - Experience with invoicing, billing, payments, accounting, or other financial workflows - Experience building integrations that keep data consistent across systems - Experience improving reliability and operational visibility in a growing product BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: San Francisco, CA | Seattle, WA | New York City, NY | Washington, DC About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role AI is changing what security teams can do. Claude can find and help fix vulnerabilities in code at a pace that wasn't possible a year ago, and we want defenders to have that advantage first. As Manager, Cybersecurity Sales Specialists, you'll build and lead the team of cybersecurity specialists who sell to security teams across our Americas business units, including financial services, healthcare and life sciences, and technology. Your team partners with the Account Executives in each industry to lead the security strategy and the security deal with CISOs. You'll help shape how Anthropic sells security: how your team covers the business units, how it works with the Account Executive and Applied AI organizations, and how what we learn from customers shapes what we build. The work matters to our mission: a safe transition through transformative AI depends on the people who defend critical systems being able to use it well, and this team is how we get it into their hands. Responsibilities Hire, onboard and develop a high-performing team of cybersecurity sales specialists Own your team's forecast, pipeline health and results across the business units you cover Set your team's coverage model, and agree on clear rules of engagement with the sales leaders who own each industry and with Applied AI leadership on discovery, proofs of concept and architecture Build a pipeline engine with the Account Executives, across their existing accounts and through outbound to security leaders, events and partners Coach your team through complex deals that lead with the customer's problem (finding and fixing vulnerabilities, application security, security operations, and deploying AI agents securely), and act as executive sponsor with CISOs on the most important ones Make security reviews, verification for security use cases, and procurement a repeatable path rather than a deal-by-deal effort Scale enablement so Account Executives across every business unit can spot and qualify security opportunities Bring what your team hears from security customers to sales leadership and to our product, safeguards and marketing teams, and turn it into input on the roadmap Run a healthy team: clear expectations, regular feedback, and performance and development conversations Minimum Qualifications Experience building and leading a cybersecurity sales team that carried a number, whether direct, specialist or overlay, including hiring, coaching and managing performance Track record of closing complex, multi-stakeholder enterprise deals where the security organization was the buyer or the deciding approver, and of coaching others to do the same Fluency in how security teams work, built by selling directly to CISOs, application security leads and security engineers Depth in at least one security domain, such as application security, vulnerability management, security operations, cloud, data, identity or endpoint security History of building a business before there was an established approach, through outbound and partners rather than inherited accounts Ability to lead through influence as well as authority, so that Account Executives and their leaders bring your team in because it helps them win Consultative approach to selling and coaching: understanding the problem before proposing anything, and being honest about what a product can't do Commitment to making AI systems safe and beneficial Preferred Qualifications Background selling security in one of the industries we cover, and an understanding of how security is bought and regulated there Experience managing managers and individual contributors, or scaling a sales team through fast growth Experience leading teams selling AI, developer or data platform products to technical buyers Time spent as a security practitioner or sales engineer before moving into sales leadership The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $450,000 — $550,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Athens Workplace: Remote About the company: KIEFER is building Greece's integrated AI ecosystem. From renewable energy infrastructure and AI systems to robotics and enterprise applications, we connect the technologies that power Europe's intelligent future. Founded in 2014, KIEFER has delivered 600MW+ of energy projects and is now developing sovereign AI infrastructure, enterprise AI products and physical AI systems for Greece and Southeast Europe. About the role We are looking for an MLOps Engineer to build the infrastructure and tools that support ML work at Kiefer Tech. Our work spans Sophea AI language model, the Sophea Nous RAG platform, robotics, and Hyperion X, our energy trading platform. You will work closely with ML and Engineering teams to make experiments reproducible and model deployment and production operations reliable. What you will do - Build workflows for running and managing model training and fine-tuning jobs. - Make experiments traceable through dataset, checkpoint, and model artifact versioning. - Automate model evaluation and release checks so teams can compare changes before deployment. - Build deployment and serving workflows, including safe rollout and rollback of model versions. - Improve GPU workload scheduling and utilization, with attention to performance and compute cost. - Add monitoring and troubleshooting tools for production ML systems, and work with teams to resolve recurring issues. What you will need - Hands-on experience building or operating infrastructure for production ML systems. - Strong Python and Linux skills, with the ability to write maintainable production code. - A practical understanding of the ML lifecycle, from experiments and evaluation to model deployment. - Experience with containers, workload orchestration, CI/CD, and infrastructure automation. - Experience working with GPU workloads and measuring performance, utilization, and cost. - Experience monitoring and troubleshooting production systems. Nice to have - Experience with LLM serving tools such as vLLM, SGLang, or NVIDIA Triton. - Experience with distributed or multi-GPU training. - Experience with ML tooling such as MLflow, Weights & Biases, Kubeflow, or Ray. - Experience supporting ML workloads in private cloud or on-premises environments with data governance requirements. What is there for you - Compensation: Competitive package aligned with talent benchmarks. - Impact: Hands-on work shaping AI capabilities for Kiefer Tech’s products and real-world applications. - AI-native environment: Real challenges across model development, evaluation, and production AI systems. - Culture: Engineering-first, high autonomy, low bureaucracy, and space to shape meaningful AI products.

Location: Remote Workplace: Remote Kit https://kit.com/ is the email marketing platform experts choose to grow their audience, deepen their relationships, and build a business around the work they love. For coaches, YouTubers, authors, podcasters, and other creatives, there isn't a better marketing hub to rely on to grow audiences, automate email marketing, and sell digital products — all within one platform. More importantly, there isn't a team more committed to helping creators earn a living. We're on a mission to help creators earn $1 billion using our creator marketing platform. We have always been 100% independent and 100% remote. We are proud to have built a product that our customers love, and we look for people who have enthusiasm and belief in our mission, vision, and values to join our team. We're also embracing AI thoughtfully — both in how we build and how we hire to ensure our team is adaptable, innovative, and ready for what's next. THE ROLE We're looking for a Senior Infrastructure Engineer II to take ownership of a large share of Kit's core infrastructure: databases, Kubernetes, version upgrades, platform tooling, and day-to-day support. You'll also build the paved paths that let engineers, non-engineers, and AI agents test and ship changes safely. The infrastructure supports creators who depend on Kit to reach their audiences and earn a living. When it's healthy, nobody notices. That's the job. This is a full-time Individual Contributor role for an experienced infrastructure engineer who likes owning production systems end to end, takes on-call seriously, leans into automation and enjoys making other people's work easier.   YOUR SUPPORT SYSTEM You'll report to Mojtaba Hosseini https://www.linkedin.com/in/mojtaba-hosseini-7a6666/, VP of Engineering at Kit. Day to day, you'll work most closely with Kris Hamoud https://www.linkedin.com/in/kristopher-hamoud-17b34665/ and Ivan Mora Perez https://www.linkedin.com/in/ivan-mora-p%C3%A9rez-ab460b45/. You'll also partner with product engineers across Kit, and with teams outside engineering who rely on infrastructure to get their work done. Once you're ramped up, you'll join a three-person on-call rotation, which works out to roughly one week in three.   WHAT YOU'LL DO - First Week: Get access to our AWS accounts, Kubernetes clusters, monitoring, and CI/CD pipelines. Read through our runbooks and architecture docs. Take part in Get To Know Yous (GTKYs) with Kris, Ivan, and the engineering teams you'll support. - First Month: Pick up day-to-day infrastructure support requests and start working through them with Kris and Ivan as backup. Ship your first improvement, such as a version upgrade or a fix to a gap in monitoring. Shadow on-call shifts. Write down what you learn along the way, especially the parts that only lived in someone's head or those that can be automated or improved. - First Six Months: Own core infrastructure areas end to end: databases, Kubernetes, version upgrades, and platform tooling. Take your full share of on-call, which you'll start by the end of your first quarter. Become the go-to person for day-to-day infrastructure questions. Find one recurring source of pages and make it go away. Ship a first paved path, such as a sandbox environment where AI agents or non-engineers can safely build and test changes. - First Year: You're the primary owner of a large part of Kit's core infrastructure, and you lead projects in it without needing direction. Uptime stays at 99.9% or better, page volume is down, and you've found real cost savings. Your paved paths are in regular use by engineers, non-engineers, and AI agents. You've built observability good enough for AI agents to handle some on-call load. You've documented your decisions so others can build on your work.     WHAT WILL S.E.T. YOU UP FOR SUCCESS   Skills - Running production infrastructure on AWS at scale, including managed relational databases, networking, and load balancing - Operating Kubernetes in production: upgrades, capacity planning, and troubleshooting - Managing infrastructure as code and maintaining CI/CD pipelines that engineers trust - Building monitoring and alerting that catches real problems early and doesn't page people for noise - Diagnosing complex, multi-service incidents calmly, then fixing the underlying cause - Cutting cloud costs through right-sizing and reserved capacity without hurting reliability - Writing clear runbooks, docs, and decision write-ups - Nice to have: experience with Cloudflare, ephemeral or sandbox environments, or email sending infrastructure Experiences - Around 7 or more years in infrastructure, platform, DevOps, or SRE roles - Owning production infrastructure for a product where downtime costs customers money - Carrying a pager for systems you owned, and making that on-call rotation quieter over time - Leading a major upgrade or migration, such as a database or Kubernetes version upgrade, with little or no customer impact - Building self-service tooling or paved paths that other engineers actually adopted - Working on a small infrastructure team where you couldn't hand problems off to a specialist Traits - You own what you run. You spot infrastructure debt and fix it without waiting to be asked, and you follow through until it's done. - You build quality into the work. Upgrades have rollback plans, maintenance windows are planned around customers, and "good enough" is a decision, not a default. - You leverage AI effectively. AI helps you increase quality and velocity where it matters most. You know when to delegate and when to dive in, while holding accountability. - You make work easier for everyone else. You'd rather build a tool or write a guide once than answer the same question ten times. - You teach what you know. You write things down so the next person, or the next AI agent, can build on your work. - You work in public. You share context and tradeoffs openly, including during incidents and when things go wrong. - You use AI thoughtfully. It's part of how you work, and you help others adopt it without creating new risks. - You remember who's on the other end. An outage means a creator's launch email doesn't go out, and that shapes how you prioritize.   WHAT WON'T SET YOU UP FOR SUCCESS - Wanting a well-defined backlog handed to you each week. Here, you'll find much of the work yourself and set priorities with Kris. - Preferring not to be on call. On-call is a core part of this role, shared across a team of three. - You are skeptical of AI’s capabilities, or conversely use AI without good judgement and accountability. - Wanting mostly greenfield architecture. A lot of this work is running, upgrading, and improving systems that already exist. - Needing layers of approval before acting.   WORKING HOURS AND LOCATION We're 100% remote with team members across the globe. We work mostly on East Coast time—so if you're based on the West Coast of the United States, Europe, or Asia, you might have a few early mornings or late evenings. We do our best to keep things reasonable, but a little time zone juggling comes with the territory. This role is part of a three-person on-call rotation, so during your on-call week you'll need to be able to respond to pages outside your usual working hours. We believe PTO should always take priority over on-call. We schedule on-call around people's lives, not the other way around. On-call is a shared responsibility, but taking time off should never be a challenge   COMPENSATION + PERKS + BENEFITS Kit has standardized salaries based on position, no matter where you live. For this role, we're hiring at our level 4 ($197,000). Level is determined based on experience and our interview process.   PERKS + BENEFITS INCLUDE: - Profit Sharing https://www.linkedin.com/feed/update/urn:li:activity:7454911054947688448/ - Kit equity - 401k with a 5% match - We cover up to $2,280 per month toward medical premiums, with dental and vision premiums fully covered. We offer Health Insurance plans through Aetna - $2,000 equipment allowance for your first two years, $1,000 budget every following two years. Company-provided laptops are issued to every Kit team member and are not included in the equipment budget - Individual learning + development budget ($3,500/year) - Creator meetup budget ($50/month) to connect with creators over coffee, lunch, or other in-person meetups - Gender affirming benefits - Childcare benefit up to $3,000 annually through JOON - Twenty (20) days of paid time off during each year of employment - Paid paid vacation: An after-tax bonus of $1,000 for taking five consecutive days of vacation where you’re fully unplugged from work - Ten (10) paid holidays a year - Two weeks of paid sick time each year, including mental health + well being days - Twelve (12) weeks paid parental leave and flexible scheduling in your child’s first year - Up to six weeks of paid bereavement leave, medical leave, and disaster after six months of employment, two weeks of each paid leave in your first six months - Winter Break Closure: Kit closes for a week at the end of December, giving everyone a collective break to enjoy the holiday season. Essential support services remain available, with teams coordinating to ensure coverage during this period - Four-week, paid sabbatical after five years with the team - Fantastic in-person or virtual retreats with the team twice a year   HOW TO APPLY We usually receive a large number of applications, and our goal is to follow up with you within two weeks. You’ll hear from us either way. Here’s what you can expect from the rest of our hiring process: 1. A phone screen with our recruiter (30 min) 2. Hiring manager interview (45 min) 3. Take-home assignment 4. Technical interview (60 min) We’ll keep you informed through every step. To get started, complete this application, including a cover letter and answers to the questions on the next page. We read every single application, and your cover letter and responses help put your experience into context. Kit is an equal opportunity employer We value diversity in all of its forms. Research tells us that applicants who are female or non-binary, as well as applicants who are people of color, are less likely to apply for roles they do not feel 100% qualified for. If you think you meet more than 50% of our requirements but fewer than 100% of them, please apply. We’re imperfect communicators, so think of our job postings as the starting point for discussion rather than proof that you shouldn’t apply. Kit does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits.

Location: London, United Kingdom Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Join us in our mission to transform the way people shop and eat. DoorDash, Deliveroo and Wolt now operate as one global company. Behind the AI experiences millions of people use every day, from shopping assistants to customer support agents, sits one shared Generative AI platform. Our team builds it. We're looking for a Staff Product Manager in London to own major parts of that platform. Your customers are the engineers and ML researchers across all three brands who build AI products and agents. You'll work with engineering and product leaders in Europe and the US, and your decisions will shape how AI gets built across every market we operate in. What You'll Be Doing Set the strategy and roadmap for core parts of our GenAI platform: model access and routing, agent infrastructure, and evaluation and observability. Build one platform for three brands. Spot the patterns across Deliveroo, Wolt and DoorDash teams and turn them into shared building blocks, so a capability built once reaches every market. Shape our model portfolio across frontier and open-weight models. Decide where we build, buy or partner in an ecosystem that changes month to month. Make agents production-ready. Give teams safe access to company knowledge, tools and systems, with the quality, latency and cost controls needed to run agents at scale. Own the evaluation strategy so teams can prove quality before launch and keep improving it after. Stay close to your customers. Work with the teams shipping AI experiences, measure adoption and time-to-production, and let real production use drive the roadmap. Lead at a senior level, presenting to senior technical leadership and influence strategy beyond your own roadmap. What You'll Need to Thrive Our ideal candidate brings deep expertise in some of these areas and curiosity to grow in others: Significant product management experience (typically 8+ years, or equivalent), including owning a technical platform, developer product, or ML or data infrastructure. Hands-on experience with LLM-based products or platforms in production, such as assistants, agents, evaluation or inference. GenAI platforms are a young field, so we care more about depth than years. A platform mindset. You notice the problem five teams keep solving and turn it into one capability everyone can use. The ability to go deep with engineers and ML researchers, then explain the trade-off in plain language to a senior leader. A track record of leading large, ambiguous areas on your own and aligning stakeholders across companies, countries and time zones. Comfort with regular overlap with US time zones, including some late-afternoon and evening calls. What Success Looks Like A team in any of our three brands can go from idea to a reliable AI product dramatically faster. That happens because the hard parts (models, inference, evaluation, tooling, observability, governance and agent infrastructure) are solved once at the platform layer and get better for everyone. Why Join Us? Real scale from day one. Your platform powers AI used by millions of consumers, merchants and couriers across three brands. Frontier work, real constraints. You'll work with the latest models and agent patterns, then make them reliable, affordable and compliant in production. Visible impact. Platform decisions here get reviewed by senior leadership and adopted across the company. We’re food lovers, problem solvers, community builders and more, brought together by a shared drive to make things better. Working here you can expect to: 🔧 Solve meaningful problems at real scale Work on a complex, always-on marketplace that impacts millions every day. 🌱 See your impact, fast Ship, test and improve ideas quickly in a low-hierarchy, high-ownership environment. 🧠 Grow through challenge and ownership Take on big, ambiguous problems and accelerate your career with strong support. 🌎 A culture built for builders High standards, collaboration, flexible working and continuous learning. 💰 Share in the success you help create Competitive salary and equity options, so you’re rewarded for the impact you make. ➡️ Want a deeper look at how we build? Check out our Tech Blog . We aim to create a fair process that lets your skills shine—our interview typically includes 3-4 stages. Find more about how we hire here . Our Global Structure Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash, Deliveroo and Wolt. Together, we’re unlocking new possibilities as one global team. Diversity, Equity and Inclusion We know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or if you require any reasonable adjustments during the recruitment process, please contact our recruitment team at accommodations@deliveroo.co.uk and we’ll be happy to help ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

Location: London, UK About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Enterprise Account Executive at Anthropic, you’ll drive adoption of safe, frontier AI by securing strategic deals with top enterprises, unlocking new value streams throughout their business. You’ll leverage your consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM, product, and marketing teams, you’ll continuously refine our value proposition, sales methodology, and market positioning to ensure differentiated value across the landscape. The ideal candidate will have a passion for developing new market segments, pinpointing high-potential opportunities, and executing strategies to capture them. By driving deployment of Anthropic's emerging products, you will help enterprises obtain new capabilities while also advancing the ethical development of AI. Responsibilities: Win new business and drive revenue for Anthropic. Find your way to the right people at prospective customers, educate them about LLMs, and help them succeed with Anthropic. You’ll own the full sales cycle, from first outbound to launch Design and execute innovative sales strategies to meet and exceed revenue quotas. Analyze market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities, partnerships, and campaigns Spearhead market expansion by pinpointing new customer segments and use cases. Collaborate cross-functionally to differentiate our offerings and sustain a competitive edge Inform product roadmaps and features by gathering customer feedback and conveying market needs. Provide insights that strengthen our value proposition and enhance the customer experience Continuously refine the sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency You may be a good fit if you have: 5+ years of enterprise sales experience driving adoption of emerging technologies with a consultative, solutions-oriented sales approach A track record of managing complex sales cycles and securing strategic deals by understanding multifaceted technical requirements and crafting tailored solutions Demonstrated ability to navigate dynamic stakeholder ecosystems, building consensus and providing innovative solutions to disparate groups Extensive experience negotiating highly complex, customized commercial agreements with multiple stakeholders Proven experience exceeding revenue targets in fast-paced organizations by effectively managing an evolving pipeline and sales process Excellent communication skills and the ability to present confidently and build connections across all customer levels, from ICs to C-level executives A knack for bringing order to chaos and an enthusiastic “roll up your sleeves'' mentality. You are a true team player A strategic, analytical approach to assessing markets combined with creative, tactical execution to capture opportunities A passion for and/or experience with advanced AI systems. You feel strongly about ensuring frontier AI systems are developed safely The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £195,000 — £280,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Serbia; Spain Social Discovery Group (SDG) is a group of social discovery companies. SDG solves the problems of loneliness, isolation, and disconnection - transforming virtual intimacy into the new normal. SDG’s products redefine the way people interact and connect with one another. Our portfolio includes social entertainment platforms designed to connect people online across different cultures and regions of the world. We bring together a team of like-minded people and IT professionals who specialize in creating and developing globally impactful social discovery products. Our international team of digital nomads works remotely from all over the world. We’re proud to be a two-time “Great Place to Work” winner (USA & Japan, 2024–2025) and a Top-5 Company for Work-From-Anywhere Jobs (FlexJobs, 2025). We are looking for Machine Learning Engineer. Your main tasks will be: Set the ML direction: choose which strategic bets to make and tie each one to clear business needs. Drive LLM post-training and model adaptation end to end, from dataset construction to fine-tuning and preference optimization. Design and build agent harnesses and tool-using LLM systems. Shape multi-agent development workflows that make the team faster and more effective. Build evaluation frameworks and LLM-as-a-judge systems that reliably predict real-world performance. Improve dialogue quality across memory, emotional intelligence, persona consistency, safety and anti-loop behavior. Ship production systems that directly shape user experience, retention and monetization. We expect from you: Python expert level: clean code, typing, async, multiprocessing, profiling, debugging, notebooks + production code.Trainsformers. Training and fine-tuning LLMs. SFT, LoRA/QLoRA, PEFT. Preference optimization: DPO / ORPO / SimPO / CPO / GRPO or willingness to quickly go deep. Building datasets for LLM training: cleaning, filtering, deduplication, preference pairs, synthetic data, hard negative mining. LLM evaluation: offline evals, pairwise evals, LLM judges, human annotation. Agent harness design: tool calling, function calling, structured outputs, retries, routing, state management, memory/context, guardrails. Production LLM integration: APIs, streaming, batching, fallbacks, cost/latency trade-offs. Observability for agents: traces, tool-call logs, transcript analysis, failure clustering. Strong understanding of transformer architecture and modern LLM behavior. Accuracy with dtype/device/batching: fp32/fp16/bf16, quantization, CUDA memory, avoiding dtype mismatch bugs. Git, Docker, Linux, basic MLOps. Fluent Russian, ready to work in CET (±2) hours. Nice to have: experience beyond text (computer vision, image generation, multimodal), long-running conversations and character consistency, vLLM / TGI / SGLang, DeepSpeed / FSDP / Accelerate, quantization, safety classifiers. What do we offer: REMOTE OPPORTUNITY to work full-time; The initial pay level or pay range for this role will be shared with candidates during the recruitment process and before the commencement of employment; Vacation 28 calendar days per year; 7 wellness days per year (time off) that can be used to deal with household issues, to lie down and recover without taking sick leave; Bonuses up to $5000 for recommending successful applicants for positions in the company; 50% payment for professional training, international conferences, and meetings; Corporate discount for English lessons; ​ Health benefits. According to the paychecks, if you are not eligible for corporate medical insurance, the company will compensate you with up to $ 1,000 gross per year per employee. This can be spent on self-purchase of health insurance or on doctor’s fees for yourself and close relatives (spouse, children); ​ Workplace organization. The company provides all employees with an equipped workplace and all the necessary equipment (table, armchair, wifi, etc.) in our offices or co-working locations. In the other locations, the company provides reimbursement of workplace costs up to $ 1000 gross once every 3 years, according to the paychecks. This money can be spent on the rent of the co-working room, on equipping the working place at home (desk, chair, Internet, etc.) during those 3 years; Internal gamified gratitude system: receive bonuses from colleagues and exchange them for our merchandise, team building activities, massage certificates, etc. Sounds good? Join us now!

Location: Global, EU We are the creators of a new fintech era! Our mission is to change this world by making blockchain accessible to everyone in everyday life. WhiteBIT is a global team of over 1,200 professionals united by one mission — to shape the new world order in the Web3 era. Each of our employees is fully engaged in this transformative journey. We work on our blockchain platform, providing maximum transparency and security for more than 8 million users worldwide. Our breakthrough solutions, incredible speed of adaptation to market challenges, and technological superiority are the strengths that take us beyond ordinary companies. Our official partners include the National Football Team of Ukraine, FC Barcelona, Lifecell, FACEIT and VISA. The future of Web3 starts with you: join us as a ! Requirements We're looking for a Senio/Staff-level engineer with an open mind and a builder's instinct - someone who goes beyond executing tasks and is ready to own the High-Performance practice end-to-end: establish engineering processes, drive R&D, evaluate and champion new technologies, and lead their adoption in production. The ideal candidate can bridge the gap between business requirements for low latency and high throughput and the realities of existing infrastructure - translating "we need to be faster" into an actionable technical roadmap. You bring a fresh perspective, know how to organize the work, and are equally comfortable optimizing a hardware parameter and presenting a strategy to stakeholders. We expect 5+ years of hands-on experience as a DevOps/SRE/Systems Engineer in performance-critical environments - and the maturity to grow yourself and grow a team around you. Linux: Advanced administration and OS-level tuning — real-time OS configurations, cgroups, CPU isolation, memory management, and low-level network stack configuration. Hardware Internals: Deep understanding of CPU power and performance states (C/P-states), Hyper-Threading / SMT trade-offs, TX/RX ring configuration, and the full data path from NIC through PCIe to memory and CPU. Ability to reason about and tune each stage of that path under production load. Networking & TCP Internals: Deep knowledge of TCP/IP — congestion control, ACK behavior, buffer tuning, and protocol-level latency sources. Strong Linux networking fundamentals: low-latency NIC configuration, bypass networking technologies (DPDK, RDMA), and market connectivity (multicast feeds, co-location networks, VPNs). Performance Engineering: Practical experience profiling latency-sensitive systems; familiarity with tools such as perf, flamegraph, strace, tcpdump, eBPF, and hardware performance counters. Containerization: Deep knowledge of Docker and Kubernetes, including low-overhead deployment patterns and performance trade-offs of containerized workloads. IaC: Proven track record with Ansible, Terraform, and Helm in production environments. Monitoring: Hands-on experience with the Prometheus / Grafana stack; ability to build latency-aware dashboards and alerting (P99, jitter, throughput KPIs). Scripting: Solid scripting in Bash and Python; Golang is a strong plus given its role in systems tooling. CI/CD & Secret Management: Strong grasp of CI/CD pipelines with experience integrating performance validation stages; familiarity with Vault for secrets management. Security: Understanding of DevSecOps principles and Kubernetes security policies. Key Performance Metrics You'll Work With Latency Distribution - P99 / P99.9 across the tick-to-trade path, using hardware-level timestamps (NIC/PTP). Jitter - variance between min/max latency, measured over large sample sets in live market conditions. Throughput - messages per second (orders + cancels) under exchange burst scenarios. System Reliability - сontinuous monitoring of uptime Extra Credit / Big Pluses Hands-on experience with kernel-level optimization: syscall reduction, network stack bypass (DPDK, RDMA, Solarflare OpenOnload). Background in HFT, algorithmic trading, or other ultra-low-latency production environments. Experience with hardware timestamping, PTP/IEEE 1588, and precision time synchronization. Familiarity with colocation operations and exchange connectivity (cross-connects, proximity hosting). Proven SRE track record with formal SLO/error budget frameworks in latency-sensitive contexts. DevSecOps: vulnerability scanning, Zero Trust, RBAC, and secure delivery pipelines. Understanding of business processes in FinTech, crypto, or electronic trading. Responsibilities Low-Latency Infrastructure Ownership: Design, deploy, and continuously optimize infrastructure for latency-sensitive trading systems — market data handlers, order/deal gateways, and risk check engines. Own the full stack from bare metal to application delivery. Define and maintain a reference architecture for low-latency connectivity when onboarding new trading venues, including reproducible configuration baselines, validation procedures, and performance acceptance criteria — so every new venue goes live on a proven, optimized stack. Cloud & Hybrid Network Connectivity: Design, implement, and maintain complex low-latency network solutions for cloud provider interconnects - including cross-connects and Direct Connect / ExpressRoute links between cloud regions, hybrid on-premise/cloud topologies, and high-throughput inter-server fabrics. Ensure both latency minimization and fault tolerance at every layer: physical redundancy, failover routing, and path diversity across providers and regions. Hardware & OS Stack Tuning: Go deep on the full hardware and OS stack - CPU pinning, C/P-states, HT/SMT configuration, NUMA topology, IRQ affinity, TX/RX ring sizing, NIC offloading, and network stack bypass (DPDK/RDMA where applicable). Understand the complete data path from NIC through PCIe to memory and CPU - and optimize every hop. Infrastructure as Code (IaC): Automate provisioning and configuration of high-performance environments using Ansible, Terraform, and Helm - with performance reproducibility as a first-class requirement. Latency Profiling & Benchmarking: Systematically profile and debug latency hotspots across the full execution path. Establish and maintain SLA/SLO targets; track P99/P99.9 distributions, jitter, and throughput - not just averages. CI/CD for Performance: Build and maintain CI/CD pipelines that include automated latency regression testing, so performance degradations are caught before they hit production. Monitoring & Observability: Design and operate comprehensive latency monitoring and alerting systems (Prometheus, VictoriaMetrics, Grafana) - including hardware timestamping (NIC/PTP) and fine-grained performance telemetry. Colocation & Network Placement: Research, evaluate, and manage optimal server placements - colocations, cross-connects, proximity hosting. Work closely with network and infrastructure teams to minimize physical and logical distance to exchanges. High Availability & DRP: Design systems that maintain stability and reliability under peak load while continuously pushing latency lower - zero regressions, always. Cross-Team Collaboration: Work alongside algo developers, quant teams, and network engineers to ensure trading strategies execute with minimal infrastructure overhead. Working terms Immerse yourself in Crypto & Web3: Master cutting-edge technologies and become an expert in the most innovative industry. Work with the Fintech of the Future: Develop your skills in digital finance and shape the global market. Take Your Professionalism to the Next Level: Gain unique experience and be part of global transformations. Drive Innovations: Influence the industry and contribute to groundbreaking solutions. Join a Strong Team: Collaborate with top experts worldwide and grow alongside the best. Work-Life Balance & Well-being: Modern equipment. Comfortable working conditions, and an inspiring environment to help you thrive. 24 calendar days of paid leave. Additional days off for national holidays. With us, you’ll dive into the world of unique blockchain technologies, reshape the crypto landscape, and become an innovator in your field. If you’re ready to take on challenges and join our dynamic team, apply now and start a new chapter in your career! Let’s Build the Future Together! WhiteBIT offers all candidates an equal opportunity to join the team. All hiring decisions are made without regard to race, national origin, gender identity or sexual orientation, age, religion, disability, medical condition, marital status, familial status, veteran status, or any other legally protected characteristic of an individual. Your privacy matters to us. You can learn more about how we handle your personal data with regard to your application in our Candidate Privacy Notice .

Location: Global, EU We are the creators of a new fintech era! Our mission is to change this world by making blockchain accessible to everyone in everyday life. WhiteBIT is a global team of over 1,200 professionals united by one mission — to shape the new world order in the Web3 era. Each of our employees is fully engaged in this transformative journey. We work on our blockchain platform, providing maximum transparency and security for more than 8 million users worldwide. Our breakthrough solutions, incredible speed of adaptation to market challenges, and technological superiority are the strengths that take us beyond ordinary companies. Our official partners include the National Football Team of Ukraine, FC Barcelona, Lifecell, FACEIT and VISA. The future of Web3 starts with you: join us as a DevOps Engineer with Big Data Skills! Requirements We're looking for a DevOps engineer with 4+ years of hands-on experience, at least 2 of them spent building and running data or analytics infrastructure. You've designed systems that move, store, and serve data at scale. Warehouse maintenance is part of your daily routine, and writing Python, Bash, or SQL scripts is second nature. You treat data security as a core responsibility: you protect confidentiality, enforce zero-trust, least-privilege access, and automate everything you touch. Solid IaC skills are a must. IaC & CI/CD: Production experience with Terraform, Ansible, and Helm, plus CI/CD systems (GitLab CI, GitHub Actions, Jenkins, or ArgoCD). We expect you to design pipelines, not just use them. Containerization: Working knowledge of Docker and Kubernetes, including running data workloads on it (like Spark on Kubernetes, stateful services, operators). Cloud: Solid experience with AWS (S3, EC2, EMR, Redshift, Glue, IAM) or an equivalent cloud provider. Linux & Networking: Solid Linux administration skills and foundational networking knowledge relevant to distributed systems. Analytical Databases: Hands-on operation of ClickHouse and/or the Hadoop ecosystem (HDFS, Hive, YARN), including cluster setup, tuning, and scaling. Data Warehouses: Practical experience with Snowflake or Redshift, covering warehouse sizing, workload management, performance tuning, and cost control. Large Databases: Experience administering databases at terabyte scale: replication, backup and restore strategies, partitioning, and migrations with minimal downtime. SQL & Scripting: Strong SQL skills, including reading execution plans and optimizing heavy queries. Confident in Python and Bash for automation, data parsing, and investigation. Data Lakes & Object Storage: Working knowledge of S3-compatible storage, columnar formats, partitioning strategies, and data lifecycle management. Orchestration & Streaming: Familiarity with Airflow (or similar orchestrators) and Kafka, and how they fit into data pipelines. Extra Credit / Big Pluses Experience with Tableau, Power BI, Looker, Superset, or similar BI tools, including administration, performance tuning, and data source design. Hands-on experience with dbt and analytics engineering practices. Experience with open table formats (Apache Iceberg, Delta Lake, Hudi) and query engines like Trino/Presto or Athena. FinOps experience in data platforms: managing Snowflake credits, Redshift clusters, and storage costs at scale. Spark performance tuning and job optimization. Change data capture (CDC) with Debezium or similar tools. Data quality tooling (Great Expectations, Soda) integrated into CI/CD. Golang or Rust tooling experience. Knowledge of data governance and compliance (GDPR, data retention, PII handling). Understanding of business processes in the FinTech/Banking/Crypto sector. Responsibilities Infrastructure Ownership: Own the infrastructure behind our data and analytics platform, from provisioning to daily operations. Keep it reliable, scalable, and cost-efficient as data volumes grow. Infrastructure as Code: Provision and configure all data infrastructure with Terraform, Ansible, and Helm. CI/CD Pipelines: Build and maintain delivery pipelines for both infrastructure and data code (ETL jobs, Airflow DAGs, dbt models, schema migrations), with automated testing, safe rollouts, and fast rollback. Database & Warehouse Operations: Maintain ClickHouse, Snowflake, Redshift, and вPostgreSQL at multi-terabyte scale, handling replication, backups, upgrades, capacity planning, and disaster recovery. Data Lake Storage: Manage S3-compatible data lake storage, including partitioning, file formats, and lifecycle policies. Automation & Script Optimization: Refactor and automate Python, Bash, and SQL scripts to cut runtimes and eliminate manual work. Performance & Cost: Right-size clusters and warehouses, tune heavy queries, and keep compute and storage spend under control. Monitoring & Alerting: Cover data infrastructure with metrics, logs, and alerts for cluster health, pipeline SLAs, and job failures. Security & Access Control: Enforce least-privilege access, secrets management, encryption, and auditability for sensitive data. BI Infrastructure: Support the infrastructure behind Tableau or similar BI tools. Big Data Platforms: Deploy, tune, and troubleshoot Hadoop, Spark, and Kafka clusters in production. Collaboration: Work with data engineers, analysts, and developers to turn their workloads into solid infrastructure decisions. Security & Access Control: Implement role-based access, secrets management, encryption at rest and in transit, and auditability for sensitive datasets in line with regulatory requirements. Working terms Immerse yourself in Crypto & Web3: Master cutting-edge technologies and become an expert in the most innovative industry. Work with the Fintech of the Future: Develop your skills in digital finance and shape the global market. Take Your Professionalism to the Next Level: Gain unique experience and be part of global transformations. Drive Innovations: Influence the industry and contribute to groundbreaking solutions. Join a Strong Team: Collaborate with top experts worldwide and grow alongside the best. Work-Life Balance & Well-being: Modern equipment. Comfortable working conditions, and an inspiring environment to help you thrive. 24 calendar days of paid leave. Additional days off for national holidays. With us, you’ll dive into the world of unique blockchain technologies, reshape the crypto landscape, and become an innovator in your field. If you’re ready to take on challenges and join our dynamic team, apply now and start a new chapter in your career! Let’s Build the Future Together! WhiteBIT offers all candidates an equal opportunity to join the team. All hiring decisions are made without regard to race, national origin, gender identity or sexual orientation, age, religion, disability, medical condition, marital status, familial status, veteran status, or any other legally protected characteristic of an individual. Your privacy matters to us. You can learn more about how we handle your personal data with regard to your application in our Candidate Privacy Notice .

Location: Global, EU We are the creators of a new fintech era! Our mission is to change this world by making blockchain accessible to everyone in everyday life. WhiteBIT is a global team of over 1,200 professionals united by one mission — to shape the new world order in the Web3 era. Each of our employees is fully engaged in this transformative journey. We work on our blockchain platform, providing maximum transparency and security for more than 8 million users worldwide. Our breakthrough solutions, incredible speed of adaptation to market challenges, and technological superiority are the strengths that take us beyond ordinary companies. Our official partners include the National Football Team of Ukraine, FC Barcelona, Lifecell, FACEIT and VISA. The future of Web3 starts with you: join us as a Senior DevOps! Requirements We're looking for candidates with 5+ years of hands-on experience as a DevOps / SRE and deep expertise in the following technologies: Linux: Advanced administration and OS-level tuning — real-time kernels, process scheduling, memory management, cgroups, CPU isolation, and I/O optimization. Cloud platforms: Understanding of and experience in building complex systems focused on high availability (HA), low latency and high-performance computing (HPC) Networking: Deep understanding of TCP/IP, UDP, multicast, Ethernet, VLANs, and PTP at the wire level. Experience with low-latency network configurations and familiarity with kernel bypass technologies (DPDK, RDMA) is a strong plus. Containerization: Deep-dive knowledge of Docker and Kubernetes, including performance trade-offs of containerized workloads and low-overhead deployment patterns. IaC: Proven experience with Ansible, Terraform, and Helm in production environments. Hardware Performance: Working knowledge of how CPUs, NIC queues, memory, and storage behave under pressure. Hands-on experience with hardware tuning (BIOS configs, CPU isolation strategies, NIC queue management). Monitoring: Practical experience with the Prometheus / Grafana stack; ability to build latency-aware dashboards and fire meaningful alerts rather than noise. Scripting: Proven track record writing production scripts in Bash and Python. Golang is a significant plus. CI/CD: Strong grasp of core CI/CD tools and experience with secret management using Vault. Security: Understanding of DevSecOps principles and hands-on experience configuring security policies in Kubernetes (Zero Trust, RBAC, secure code delivery). Databases: Solid working knowledge of SQL and/or NoSQL databases under operational conditions. On-Call & Incident Response: High sense of ownership for production systems — willing to participate in on-call rotations and available to respond to critical incidents outside business hours when the situation demands. Extra Credit / Big Pluses Linux: Deep-dive into kernel-level optimization — from syscalls and network card tuning to DPDK or FPGA-based networking. Proven experience operating High Availability / Ultra-Low Latency solutions in live trading environments. Experience with hybrid infrastructures (on-premise + cloud) — colocations, cross-connects, and proximity hosting. Background in building and operating Big Data and Data Analytics platforms. Understanding of business processes in the FinTech / Banking / Crypto / HFT sector. Proven track record as an SRE with formal SLO / error budget frameworks. DevSecOps: Vulnerability detection, enforcing security best practices, and experience with scanning tools (Trivy or Snyk). Blockchain / crypto-native background is a bonus. Responsibilities Hybrid Infrastructure (Baremetal and Clouds): Administer Linux servers (Ubuntu, CentOS, RHEL), drive incident resolution, and take end-to-end ownership of system reliability. Low-Latency Systems Operations: Proactively monitor, troubleshoot, and tune latency-sensitive trading systems and exchange connections across multiple asset classes. You treat P99 latency as a first-class metric. OS & Hardware Tuning: Go deep on the Linux stack — CPU pinning, NUMA topology, IRQ affinity, kernel parameter tuning, NIC offloading, and BIOS-level configurations. If it affects the tick-to-trade path, you own it. Infrastructure as Code (IaC): Automate deployment and configuration using Ansible, Terraform, and Helm with performance reproducibility as a hard requirement. CI/CD: Build and maintain rock-solid CI/CD pipelines (GitLab CI, Jenkins, ArgoCD) including automated performance regression checks. Monitoring & Observability: Design and operate comprehensive monitoring and logging stacks (Prometheus, VictoriaMetrics, Grafana, ELK). Build latency-aware dashboards and alerting — P99/P99.9, jitter, throughput, and error rates. High Availability & DRP: Design and implement architectures adhering to HA, scalability, and Disaster Recovery principles — zero regressions while continuously reducing latency. Cross-Team Collaboration: Partner with quant, trading, and network engineering teams to squeeze every drop of performance from the full stack — from hardware up to application logic. Working terms Immerse yourself in Crypto & Web3: Master cutting-edge technologies and become an expert in the most innovative industry. Work with the Fintech of the Future: Develop your skills in digital finance and shape the global market. Take Your Professionalism to the Next Level: Gain unique experience and be part of global transformations. Drive Innovations: Influence the industry and contribute to groundbreaking solutions. Join a Strong Team: Collaborate with top experts worldwide and grow alongside the best. Work-Life Balance & Well-being: Modern equipment. Comfortable working conditions, and an inspiring environment to help you thrive. 24 calendar days of paid leave. Additional days off for national holidays. With us, you’ll dive into the world of unique blockchain technologies, reshape the crypto landscape, and become an innovator in your field. If you’re ready to take on challenges and join our dynamic team, apply now and start a new chapter in your career! Let’s Build the Future Together! WhiteBIT offers all candidates an equal opportunity to join the team. All hiring decisions are made without regard to race, national origin, gender identity or sexual orientation, age, religion, disability, medical condition, marital status, familial status, veteran status, or any other legally protected characteristic of an individual. Your privacy matters to us. You can learn more about how we handle your personal data with regard to your application in our Candidate Privacy Notice .

Location: Singapore 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're looking for an Engineering Manager for Network Infrastructure to own delivery of network infrastructure initiatives in APAC. This is not a role for someone who only coordinates tickets and status. It is a role for someone with an engineering skeleton: a person who has built, operated, broken and recovered things, and can earn the trust of SREs, SWEs, network engineers, and security and platform teams. We are at the early stage of our APAC expansion, so at first you will be hands-on: reviewing designs, stepping into incidents, and writing code or automation when the team needs it, with a high degree of independence from the European teams. As the organisation grows, the scope of the role will grow with it. You own delivery. You will make important cross-team initiatives land: defining scope, aligning owners, exposing risks, driving decisions, tracking dependencies, and making sure we ship useful outcomes instead of half-finished initiatives. The job is not done when the technical pieces exist. It is done when engineers trust the tool, the NOC actually uses the workflow, alerts are actionable, runbooks are real, and the new way becomes the default way. You stay technical. You don't need to be the deepest expert in every area, but you should be technical enough to understand real trade-offs: why rollback is not optional, why "just automate it" can create a bigger blast radius, why SLOs without ownership are decoration, and why network device CI/CD is very different from deploying a stateless service. You can read a design doc, challenge missing assumptions, notice unclear failure modes, and help the team turn a vague but important problem into an executable plan. This is a high-leverage role in an early-stage and fast-scaling network infrastructure organisation. Many important systems are being built now: automation, observability, reliability standards, provisioning flows, operational safety, and cross-site consistency. You won't be maintaining a mature machine from the sidelines. You'll help shape how the machine works. Your responsibilities will include: Set the engineering bar: code quality, design review, on-call and incident management practices, and operational standards Own end-to-end delivery of cross-team network infrastructure initiatives in APAC, from a vague problem statement to an executable plan to adoption Define scope and success criteria, align owners across SRE, SWE, network, security, platform and data center teams, and drive decisions to closure Review designs and technical proposals, challenge missing assumptions, and surface failure modes, dependencies and risks early Stay hands-on where it matters: step into incidents, write code or automation, and unblock the team Drive adoption: make sure tools and workflows become the default way of working, with real documentation, runbooks and feedback loops Keep stakeholders, including the European teams, informed with clear, honest status and coordinate across time zones Turn operational pain and engineering input into a clear, prioritized backlog We expect you to have: 7+ years of experience in software, SRE, network or infrastructure engineering, including experience leading cross-team technical initiatives A real engineering background: you have built and operated production systems and can earn the trust of deeply technical teams Ability to read design docs and technical proposals, understand trade-offs, and ask sharp questions about reliability, rollback, blast radius and failure modes Strong understanding of infrastructure fundamentals (Linux, networking, automation, CI/CD) at the level needed to hold your own in technical discussions Proven ability to drive decisions and create clarity in ambiguous, fast-changing environments Excellent written and verbal communication, including documenting plans and decisions and influencing smart technical people Ability to work independently in an early-stage environment and to build processes from scratch Professional working proficiency in English (spoken and written) and comfort working across time zones It will be an added bonus if you have: Experience with network infrastructure: network automation, observability, or network device lifecycle management Experience with SLO/SLI frameworks, incident management, or production readiness processes Experience with CI/CD or change management for network or other high-blast-radius infrastructure Experience building a team from scratch or launching a new engineering hub Experience with secrets and access management, firmware rollout or fleet-wide operational initiatives Hands-on engineering contributions (code, tooling, automation) alongside management work Knowledge of the APAC network landscape (carriers, IX, regional connectivity and regulatory specifics) Examples of initiatives your team may own: A user and secrets management system for network infrastructure, including robot-user lifecycle, safe key/password rotation, revocation, break-glass access, mixed agent/push-based device support, and integration with existing secrets backends An SLO framework for network services and components, including SLIs, SLOs, dashboards, alerts, ownership, tiering, and a clear link between reliability targets and engineering investment CI/CD for network devices, where configuration changes, validation, staged rollout, rollback, and blast-radius control become disciplined and repeatable instead of manual and risky Fleet-wide operational initiatives such as firmware consistency, device lifecycle hygiene, observability coverage, monitoring quality, alert ownership, or production readiness for new network capabilities 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: Kuala Lumpur, Malaysia Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity As OKX US continues to grow, we are looking for a Support Operations Lead to join our Business Management team, with a focus on leading and coaching our global Customer Support (CS) function to better serve OKX users. Rather than being a direct member of the CS team, you’ll work alongside Operations, Compliance, Product, and Marketing stakeholders to uplift the quality, efficiency, and regulatory compliance of our offshore CS agents. You’ll act as a subject matter expert (SME) for all things within the customer support experience — helping offshore agents understand local customer expectations, regulations, and how to handle issues with care and accuracy. This is a strategic and high-impact role, laying the groundwork for improved CS experience and potentially a local team in the future. What You’ll Be Doing Represent the voice of the customer within the business and act as SME for support needs, regulations, and expectations. Coach and guide offshore CS teams to improve handling of tickets, especially regulatory-sensitive cases (e.g., scam/fraud, ID verification). Partner with local Compliance, Operations, and Legal to ensure offshore CS agents are trained and updated on local regulatory requirements. Manage high-priority and escalated customer cases in collaboration with offshore agents and local teams. Liaise with Customer Due Diligence (CDD) teams to improve KYC/AML workflows for customers and reduce customer friction. Act as SME for OKX Card support operations — guiding offshore CS on dispute handling, chargeback processes, and cardholder issue resolution in line with card program compliance requirements. Work closely with Product and Marketing teams to proactively inform CS of upcoming campaigns, changes, or product launches that may drive ticket volume. Identify operational pain points in the customer journey and work cross-functionally to resolve or escalate them. Develop SOPs, quick guides, and training materials to help offshore agents respond more effectively to users. Track key CS metrics such as resolution time, CSAT, and escalation volume to measure success and identify improvement areas. If the business moves toward a local CS team in the future, help scope, plan, and build this function from the ground up. What We Look For In You Experience & Industry Knowledge 5+ years of experience in customer operations, customer experience, or support leadership, ideally within fintech, crypto, or financial services. Solid understanding of US financial regulation, consumer protection expectations, and AML/KYC processes. Experience working with or leading offshore support teams in a high-growth or regulated environment. Exposure to customer-centric operations functions — blending support, risk, compliance, and product feedback loops. Skills & Competencies Strong leadership and coaching ability, with a focus on raising offshore team performance without direct line management. Excellent stakeholder management skills — ability to work across compliance, product, marketing, and support teams. Operationally minded — you're a problem-solver who can turn user pain points into action plans. Process-driven — capable of designing and implementing SOPs and knowledge base content. Excellent communicator — able to distill regulatory complexity into practical CS guidance. Analytical — confident using data and KPIs to improve customer outcomes and support operations. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity As OKX US continues to grow, we are looking for a Support Operations Lead to join our Business Management team, with a focus on leading and coaching our global Customer Support (CS) function to better serve OKX users. Rather than being a direct member of the CS team, you’ll work alongside Operations, Compliance, Product, and Marketing stakeholders to uplift the quality, efficiency, and regulatory compliance of our offshore CS agents. You’ll act as a subject matter expert (SME) for all things within the customer support experience — helping offshore agents understand local customer expectations, regulations, and how to handle issues with care and accuracy. This is a strategic and high-impact role, laying the groundwork for improved CS experience and potentially a local team in the future. What You’ll Be Doing Represent the voice of the customer within the business and act as SME for support needs, regulations, and expectations. Coach and guide offshore CS teams to improve handling of tickets, especially regulatory-sensitive cases (e.g., scam/fraud, ID verification). Partner with local Compliance, Operations, and Legal to ensure offshore CS agents are trained and updated on local regulatory requirements. Manage high-priority and escalated customer cases in collaboration with offshore agents and local teams. Liaise with Customer Due Diligence (CDD) teams to improve KYC/AML workflows for customers and reduce customer friction. Act as SME for OKX Card support operations — guiding offshore CS on dispute handling, chargeback processes, and cardholder issue resolution in line with card program compliance requirements. Work closely with Product and Marketing teams to proactively inform CS of upcoming campaigns, changes, or product launches that may drive ticket volume. Identify operational pain points in the customer journey and work cross-functionally to resolve or escalate them. Develop SOPs, quick guides, and training materials to help offshore agents respond more effectively to users. Track key CS metrics such as resolution time, CSAT, and escalation volume to measure success and identify improvement areas. If the business moves toward a local CS team in the future, help scope, plan, and build this function from the ground up. What We Look For In You Experience & Industry Knowledge 5+ years of experience in customer operations, customer experience, or support leadership, ideally within fintech, crypto, or financial services. Solid understanding of US financial regulation, consumer protection expectations, and AML/KYC processes. Experience working with or leading offshore support teams in a high-growth or regulated environment. Exposure to customer-centric operations functions — blending support, risk, compliance, and product feedback loops. Skills & Competencies Strong leadership and coaching ability, with a focus on raising offshore team performance without direct line management. Excellent stakeholder management skills — ability to work across compliance, product, marketing, and support teams. Operationally minded — you're a problem-solver who can turn user pain points into action plans. Process-driven — capable of designing and implementing SOPs and knowledge base content. Excellent communicator — able to distill regulatory complexity into practical CS guidance. Analytical — confident using data and KPIs to improve customer outcomes and support operations. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Berlin, Germany About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. Wolt is looking for a Senior Software Engineer (Front-end-leaning) to join our Operations Foundations team. The team sits within the DoorDash Client and AI Development group and is responsible for the foundation that hundreds of engineers across Wolt, DoorDash, and Deliveroo rely on to build internal operations tools. Our platform hosts 250+ micro-frontends (MFEs) used to operate every part of the business. Our team is focused on building a scalable, reliable, and high-quality internal tooling platform that supports Wolt, DoorDash, and Deliveroo’s operations and business. The team plays an important role in improving how engineers build, test, and ship software across the organization, with a strong emphasis on reusable libraries, micro-frontend architecture, and agentic development: building the platform where AI agents can take changes from task to merged PR safely and reliably without lowering the quality bar. Currently, we are focused on unifying our frontend platforms, evolving shared components and library development, improving developer productivity, and enabling teams to deliver more independently through better architecture and tooling. It’s an exciting time to join because the team has strong ownership and a broad technical impact. We’re looking for a Senior Software Engineer who can take ownership of complex technical initiatives across both frontend and sometimes backend and infra domains. In this role, you’ll work primarily with TypeScript, React, Node.js, CI/CD pipelines (GitHub Actions, Buildkite), and MFE architecture to build scalable, maintainable solutions that support multiple product teams and business areas. Success in this role means becoming a trusted technical owner who consistently delivers reliable solutions and helps the team execute more effectively. Six months into the role, we’d expect you to be independently leading technical initiatives and contributing meaningfully to architecture and delivery planning. This role offers the opportunity to solve challenging engineering problems with visible impact across the business. It’s especially exciting for someone who enjoys combining product engineering with platform thinking, improving developer workflows, and building systems that scale across teams and domains. What you’ll be doing Owning the Foundation: the runtime, build, deployment, and developer experience that 250+ MFEs and hundreds of engineers depend on every day. Evolving Our Micro-Frontend Architecture : improve composition, isolation, and shared dependency strategies so feature teams can move fast. Product and Planning: Independently drive projects from idea to production: breaking down ambiguous problems into clear technical plans, estimating delivery, identifying risks early, and delivering high-quality solutions in a timely manner. Supporting Engineering Excellence : Champion best practices, raise the bar for code quality, and turn lessons learned into platform improvements. Long-Term Thinking: Balance short-term feature unblockers with the long-term health, security, and maintainability of the platform. Agentic Development: Build the foundations that let AI agents work autonomously on our platform, including agent instructions, reusable skills, tool integrations, guardrails, and the automated checks that make agent-authored changes safe to ship. AI Fluency: Work agent-first in your own day-to-day: delegate implementation to agents, and focus your judgment on direction, architecture, and verifying outcomes. 📍This role can be based in our Berlin tech hub. Read more about our hybrid setup here . Feel free to check out the Wolt Tech Blog for more insight into our culture and technology. Our humble expectations Proven expertise in building production frontend applications using TypeScript and React. Solid backend knowledge, comfortable owning and operating Node.js services that support frontend infrastructure. Strong knowledge of frontend build tools, bundlers, and module systems, and the ability to evolve them as the platform grows. Track record of diagnosing and resolving complex performance, reliability, or DX issues in large frontend codebases. Experience driving technical initiatives across multiple engineering teams and stakeholders. Strong stakeholder management skills: aligning priorities, managing expectations, and communicating trade-offs clearly with partner teams and leadership. Strong communication skills and a collaborative, platform-mindset approach to working with feature teams. Strong documentation skills, including experience writing RFCs or ADRs. Nice to Haves Experience with micro-frontend architecture. Frontend platform engineering experience. Experience building shared component libraries used by many product teams. Hands-on experience with CI/CD pipelines, deployment processes, and cloud infrastructure for frontend workloads. Experience or interest in observability and reliability (SRE). Experience building tooling or workflows for autonomous AI coding agents (e.g., agent instructions, skills, MCP servers, or evaluating agent-generated code). What’s in it for you Impact: Build and shape the platform that thousands of people depend on. Scale: Work on real platform problems behind 250+ MFEs with hundreds of monthly contributors. Collaboration: Partner with talented engineers, designers, and operators across companies to make their daily work faster and better. Growth: Take on deep technical challenges across frontend architecture, agentic development, DX, and improving engineering efficiency. Culture: Be part of a diverse, open-minded team that values creativity, autonomy, and continuous learning. Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .

About Airship: Airship is a technology company providing a platform for managing omnichannel customer experience, trusted by leading brands like Alaska Airlines, BBC, and The Home Depot. Their platform enables seamless, unified customer experiences across multiple channels including apps, websites, email, SMS, and wallets, using a no-code, AI-powered system designed for non-technical teams. About the Role: As a Backend Java Engineer, you will design, develop, and support distributed systems that combine scale with high reliability. You will work on low-latency services processing continuous event streams and supporting analytical workloads across terabytes of data. The backend infrastructure runs on Google Cloud Platform, using Java-based microservices and SQL and NoSQL databases. You will join a core engineering team shaping Airship’s technical foundations and engineering practices. Tasks: — Design data schemas and take ownership of data semantics — Maintain, improve, and scale Java APIs and distributed services — Investigate performance issues using server metrics, application data, and system behavior — Improve reliability, testability, and maintainability of backend systems — Partner with product and engineering teams on technical design and implementation — Help define technical standards across teams — Lead and own large-scale releases and technical projects — Use AI as a technical assistant to draft development plans and investigate problems or bugs — Critically assess AI-generated suggestions for accuracy, security, and suitability Requirements: — At least three years of experience designing, operating, and maintaining distributed systems — Professional fluency in spoken and written French (required) — Strong Java development skills — Experience with unit testing, code reviews, documentation, and Git-based version control — Experience leading significant releases or technical projects — Familiarity with continuous integration and continuous delivery practices — Strong written and verbal communication skills — Collaborative and pragmatic approach to software development — Commitment to building reliable, maintainable, and testable systems Preferred: — Experience troubleshooting and improving JVM performance — Experience with Google Cloud Platform — Knowledge of distributed NoSQL databases or key-value stores — Strong Linux administration fundamentals Work Location & Travel Requirements: — Remote work allowed, specifically candidates must live in France or the United Kingdom and have the existing right to work there — Up to 10% travel may be required based on business needs or manager requests Compensation: — Starting pay varies based on skills, experience, market demands, and location — All offers include stock options Benefits & Perks: — Medical insurance options for employees and dependents — Flexible time off, paid holidays, parental leave, and volunteer time off — Employer-subsidized mental health and wellness programs — Digital-first work environment with monthly stipend for remote work — Mentorship and growth opportunities AI in Recruiting: — AI tools are used as decision-support only — Human review of AI-generated recommendations is conducted — No applicant is rejected solely based on AI output — Candidates may request human review or opt out of AI evaluation Hiring Commitment: — Airship is committed to diversity and equal employment opportunities — Employment decisions are made irrespective of protected characteristics — Fair Chance laws compliance for applicants with criminal histories Candidates affirm the truthfulness of their application and understand that false information may lead to dismissal.

Location: Remote Workplace: Remote About Eneba At Eneba, we’re building an open, safe and sustainable marketplace for the gamers of today and tomorrow. Our marketplace supports close to 20m+ active users (and growing fast!), provides a level of trust, safety and market accessibility unparalleled to none. We’re proud of what we’ve accomplished in such a short time and look forward to sharing this journey with you. Join us as we continue to scale, diversify our portfolio, and grow with the evolving community of gamers. ABOUT YOUR TEAM Our Customer Support operation is scaling and becoming more automated. As our first dedicated Customer Support Data Analytics Engineer, you’ll sit in Operations and work hand in hand with the Customer Support team, the Head of Operations, Product, Engineering, Payments and Risk. You’ll explain why customers contact us, measure what self-service and automation actually resolve, and help the team decide what to fix first based on evidence. You’ll work with Databricks (SQL), Kustomer, QuickSight, Mixpanel, Jira and Slack, on top of an internal data layer with Claude integrated. Current focus: AI and automation in support, and building and optimising our support metric stack. RESPONSIBILITIES - Reusable data models: Build and maintain dbt models on Databricks across bronze, silver and gold layers, with tests, column documentation and incremental logic, so the next person can build on them. - Data mapping and feasibility: Know what data we have, what is missing and how it connects. Join sources that were never designed to be joined, audit contact tagging so reporting stays reliable, and judge early whether a requested metric is buildable. If it isn’t, say exactly which data is missing and what it would take to get it. - Metric design: Turn vague requests from the Customer Support team into exact metric definitions, such as repeat contact, automated deflection rate and cost per contact, and prove each one against raw data before it ships. - Dashboards and reporting: Build dashboards end to end in QuickSight and Omni (datasets, calculated fields, filters). Deliver weekly support performance packs with actionable insights and thresholds for ops managers and leadership. - Daily operations pulse: Monitor volumes, backlog, SLAs and CSAT to flag spikes early. Investigate “this number looks wrong” cases by tracing a visual back through the model to the source table. - Contact-driver and feedback analysis: Identify why customers contact us by product, spot growing issues, and analyse QA and customer feedback to surface coaching themes and process gaps. - Automation and self-service: Measure how well AI, bots and help content resolve issues, including repeat contacts and CSAT. - Root-cause partnership: Partner with Product, Payments and Risk to quantify the impact of issues and track fixes. - Planning input: Help forecast contact volume and capacity needs. REQUIREMENTS - 3+ years of experience as a Data Analytics Engineer in Customer Support, contact-centre or CX environments. - Strong SQL, dbt and hands-on experience with BI and reporting tools (we use QuickSight; Power BI, Looker or similar is fine). - Solid knowledge of customer support metrics and contact-driver analysis: CSAT, FCR, handling time, repeat contact, deflection. - Ability to turn insights into operational changes with non-technical stakeholders. - Curiosity about why customers get in touch and what would stop the issue from happening again. You care more about changing outcomes than producing dashboards. - Good written and spoken English (proficiency preferred). NICE TO HAVE - Python or text analytics on ticket data. - Experience with a support CRM’s data - Forecasting experience. - Experience evaluating chatbots or AI agents. - Background in digital goods or gaming. What it’s like to work at Eneba   *Opportunity to join our Employee Stock Options program. *Opportunity to help scale a unique product. *Various bonus systems: performance-based, referral, additional paid leave, personal learning budget. *Paid volunteering opportunities. *Work location of your choice: office, remote, opportunity to work and travel. *Personal and professional growth at an exponential rate supported by well-defined feedback and promotion processes.   *Please attach CV's in English. *To find out about how we handle your personal data, make sure to check out our Candidate Privacy Notice https://www.eneba.com/candidate-privacy-notice #LI-DNP

Location: Remote - Europe Time Zones Workplace: Remote SplitMetrics is a global software company offering an ecosystem of products and services that serve as a growth engine for top mobile-first businesses worldwide. Our ecosystem includes: - SplitMetrics Acquire, a platform for automating and optimizing Apple Ads.  - SplitMetrics Agency, a full-service mobile marketing agency staffed by top experts. - SplitMetrics Optimize, an A/B testing platform recognized as the ASO Tool of the Year. - App Radar by SplitMetrics: an ASO platform with advanced keyword and competitor insights. WHY SPLITMETRICS?  - For over 11 years, we’ve been at the forefront of the mobile marketing industry, building an ecosystem of market-leading technologies. - An Apple Ads Partner, SplitMetrics is the 1st company to build the Apple Ads management platform.  - Working with top mobile companies and brands globally: Skyscanner, Glovo, Flo, Babbel, Wooga and many more. - Generating an impressive transaction volume, with over $1 billion in ad spend flowing through our ecosystem. - Integrated AI into our strategic approach since 2023. - Effectively collaborate across 20+ countries with a remote-first and supportive culture. We're currently seeking a QA Engineer to the meticulous testing of web applications to ensure their reliability and functionality. In this role you will: - Perform functional testing (frontends / APIs) and analyze the results. - Design approaches to validate AI-driven and non-deterministic outputs — output quality, consistency, and guardrails. - Identify defects and write clear and reproducible bug reports following team standards for defects. - Create and maintain test documentation based on test design techniques. - Get involved early and throughout the development process, from requirements and design onward, contributing actively instead of waiting for tasks to land on your plate. - Be a proactive voice in the team — joining discussions, asking the hard questions, and advocating for quality from the very start. - Verify asynchronous and event-driven flows behave reliably under realistic conditions. - Interact with customer support managers, product team and developers.   About you: - 3+ years of experience testing web applications. - Genuine enthusiasm for agentic AI and keeping up with how the field evolves - Comfortable with CLI. - Solid SQL expertise. - General understanding of software architecture. - General understanding of python programming language. - Understanding the role of QA at every stage of software development. - Confident use of test design practices. - Being vocal and proactive, positive thinking, focused on quality, attention to detail. - Experience working with automating tests will be a plus. WHAT IS THERE FOR YOU? - Time Off: Vacation and public holidays following your country's regulations. Additional PTOs annually for personal rejuvenation. - Health and Wellness: Medical insurance or health care compensation. Paid sick leave to prioritize your well-being. - Professional Development: Top online/offline conferences and mobile industry events. Internal courses for continuous professional development. - Performance and Growth: Micro-management-free and supportive management style. Semi-annual performance review sessions. New career opportunities through our internal mobility program. - Team Engagement: Corporate online events and offline team retreats. Collaboration between teams through shared OKRs. Environment conducive to open dialogue and constructive feedback. - Work Flexibility: Flexible working schedule for a better work-life balance. Remote-first working environment. - Workspace Options: Coworking costs coverage program. Office hubs in key locations for a convenient and productive work environment. OUR CULTURE At SplitMetrics, our values are not just words — they guide everything we do. To achieve our ambitious goals and maintain success, we stand united by our core behaviors: - Move Fast - Get Sh*t Done - Build Together - Strive for Transparency - Own What You Do - Learn + Share = Excel Remote Hiring Guidelines: At SplitMetrics, we welcome team members from various countries. While all our roles are remote, certain positions may have specific eligibility requirements based on location. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.