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The engineering team at Chainalysis is inspired by solving the hardest technical challenges and building products that establish trust in cryptocurrencies. We are a global organization that thrives on challenging work and doing it alongside exceptionally talented teammates. Our industry evolves rapidly, and our mission is to build a flexible, AI-driven platform that helps organizations investigate illicit activity, manage risk exposure, and participate in the cryptocurrency ecosystem with confidence.Platform Engineering provides the shared infrastructure, tooling, and developer experience layer that powers every engineering team at Chainalysis. The team is evolving toward consolidated, scalable platform patterns that support global growth, improve reliability, and reduce the operational burden on product engineers. We partner closely with Developer Productivity, Information Security, Cost Optimization, and R&D teams to provide secure, self-service paths from development through production.As a Senior Platform Engineer, you will design, build, and operate the foundational services that enable Chainalysis engineers to deliver and run software safely. You will own complex technical work from inception through production, influence platform standards and roadmaps, and help create systems that are highly available, observable, secure, and easy for other engineers to use.<h3>In this role, you’ll:</h3><ul><li>Design, operate, and continuously improve highly available platform services, including managed Kubernetes clusters, Kafka, CI/CD systems, artifact management, and related shared infrastructure</li><li>Build secure, scalable infrastructure across AWS and other cloud environments using infrastructure as code and repeatable automation</li><li>Improve production reliability through well-defined SLOs, graceful degradation, self-healing, automated recovery, and effective incident response</li><li>Create self-service workflows and platform abstractions that reduce cognitive load and help R&D teams ship and operate software more effectively</li><li>Partner with Information Security, Cost Optimization, and engineering teams to strengthen controls, improve cloud efficiency, influence technical direction, and contribute to the platform roadmap</li></ul><h3>We’re looking for candidates who have:</h3><ul><li>Deep experience designing, operating, and troubleshooting production infrastructure in AWS, including services such as IAM, EC2, EKS, RDS, MSK, S3, Lambda, VPC, and networking</li><li>Experience administering and scaling multi-tenant Kubernetes clusters and streaming platforms such as Kafka in production, including upgrades, workload isolation, reliability, security, and incident response</li><li>Experience building and maintaining infrastructure as code, pipeline-as-code, containerization, and cloud-native systems using tools such as Terraform, Helm, Ansible, Jenkins, GitHub Actions, Docker, or Kubernetes</li><li>Experience designing observability for production systems and tuning relational databases, ideally PostgreSQL, using tools such as Datadog or Prometheus</li><li>Strong software-engineering or scripting skills in one or more languages such as Python, Go, Java, Scala, or shell, plus a track record of owning ambiguous cross-functional problems and communicating tradeoffs clearly</li></ul><h3>You might also have:</h3><ul><li>Experience with elevating developer productivity and the developer experience</li><li>Experience building self-service tooling or reusable platform abstractions for engineering teams</li><li>Interest in cryptocurrencies and blockchain technology, or curiosity and willingness to learn</li><li>Experience operating in a security standards-compliant environment such as ISO 27001, NIST 800-171, or SOC 2</li></ul><h3>Technologies we use:</h3>AWS, Kubernetes, Kafka, Terraform, Helm, Ansible, Docker, Jenkins, GitHub Actions, Artifactory, Backstage, Datadog, Prometheus, PostgreSQL, and PythonAI at ChainalysisAI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it.AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before.About ChainalysisChainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation.You belong here. At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture.We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more <a href="https://go.chainalysis.com/rs/503-FAP-074/images/Interview%20Accommodations%20Request.pdf" rel="noopener noreferrer nofollow ugc" target="_blank">here</a>. We can’t wait to meet you.

Senior Platform Engineer, Foundations

<h3>Building the Future of Open Finance</h3>Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system.Before you apply, we encourage you to explore our <a href="https://www.kraken.com/culture" rel="noopener noreferrer nofollow ugc" target="_blank">culture page</a> to understand what drives us and how we work.<h3>The team</h3>Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients.You’ll work directly with the AI Growth Infrastructure Lead, the Growth Workflow Specialists across channels, and the domain experts who spec the workflows you build. You’ll operate within the Growth Foundations Group — the centralized team that builds the engine every product team in the business runs on.<h3>The Role</h3>We’re building an AI-native growth engine — one where agents make distribution decisions, creative is generated and iterated at scale, and the system compounds intelligence across every product simultaneously. This is not automation bolted onto existing workflows. It is a new model entirely.As AI Engineer, Growth, you will be the second builder on this engine. Working alongside our lead architect, you execute — building, shipping, and iterating the agent orchestrations, automated workflows, and system integrations that power every growth work-stream: paid growth, lifecycle, organic search, CRO, incentives, referrals, and beyond.This role is for someone who moves fast, builds from specs without needing hand-holding, and cares deeply about the quality of what they ship. If you’ve spent your career wanting to build systems that actually run growth rather than just support it — this is that role.<h3>The opportunity</h3><h3>WHAT YOU’LL BUILD</h3>• Agent orchestration workflows across growth use cases — automating the decisions and executions that today require human intervention across paid media, lifecycle messaging, organic content, conversion optimization, incentives, and other growth levers• Integrations between our AI reasoning layer, growth execution platforms, data infrastructure, experimentation systems, and analytics tools• Shared agent infrastructure components — reusable workflow patterns, prompt libraries, and integration clients that every growth workstream draws from• Monitoring and audit logging — ensuring every agent action is traceable, versioned, and queryable for governance and continuous improvement• Creative and content generation pipelines — automating the brief-to-variant-to-distribution loop across growth channels<h3>WHAT YOU’LL OWN</h3>• Build velocity across new growth workstreams — you are the person who gets workflows from spec to production• Integration reliability — connections between systems work, handle errors gracefully, and are maintained as tools evolve• Workflow documentation — every workflow you build is documented clearly enough that a domain specialist can understand, tune, and improve it without your involvement<h3>What you bring</h3>• 3+ years building automation workflows, integrations, or agentic systems — using AI orchestration platforms, workflow automation tools, or equivalent technologies• Strong understanding of API integrations — REST, webhooks, authentication patterns, and error handling at scale• Experience working with LLM APIs — prompt engineering, structured outputs, tool use, and agent chaining• Comfort working from a spec — you can take a workflow design and build it accurately without the architect in the room• Growth or marketing context — you understand what you’re building toward, not just how to build it• Speed and quality in balance — you ship fast and you care what you ship<h3>Nice to haves</h3>• Experience with paid media platforms, marketing automation, CRM, or lifecycle messaging systems• Familiarity with data warehouse query patterns and event tracking infrastructure• Background in a high-growth fintech, consumer tech, or multi-product technology environment• Experience designing multi-agent architectures or complex agent-to-agent workflowsUnless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis.Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution.We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.<h3>Our commitment</h3>Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto.We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision.As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws.Stay connected<a href="https://twitter.com/krakenfx" rel="noopener noreferrer nofollow ugc" target="_blank">Follow us on Twitter</a><a href="https://blog.kraken.com/#:~:text=Enter%20your%20email%20address" rel="noopener noreferrer nofollow ugc" target="_blank">Learn on the Kraken Blog</a><a href="https://www.linkedin.com/company/kraken-exchange/" rel="noopener noreferrer nofollow ugc" target="_blank">Connect on LinkedIn</a><a href="https://www.kraken.com/legal/candidate-privacy-notice" rel="noopener noreferrer nofollow ugc" target="_blank">Candidate Privacy Notice</a>

Senior AI Engineer - Growth

<h3>Building the Future of Crypto </h3>Our Krakenites are a world-class team with crypto conviction, united by our desire to discover and unlock the potential of crypto and blockchain technology.What makes us different?Kraken is a mission-focused company rooted in crypto values. As a Krakenite, you’ll join us on our mission to accelerate the global adoption of crypto, so that everyone can achieve financial freedom and inclusion. For over a decade, Kraken’s focus on our mission and crypto ethos has attracted many of the most talented crypto experts in the world.Before you apply, please read the <a href="https://www.kraken.com/culture" rel="noopener noreferrer nofollow ugc" target="_blank">Kraken Culture</a> page to learn more about our internal culture, values, and mission. We also expect candidates to familiarize themselves with the Kraken app. Learn how to create a Kraken account <a href="https://support.kraken.com/hc/en-us/articles/226090548-How-to-create-an-account-on-Kraken" rel="noopener noreferrer nofollow ugc" target="_blank">here</a>.As a fully remote company, we have Krakenites in 70+ countries who speak over 50 languages. Krakenites are industry pioneers who develop premium crypto products for experienced traders, institutions, and newcomers to the space. Kraken is committed to <a href="https://blog.kraken.com/crypto-education/security-at-kraken" rel="noopener noreferrer nofollow ugc" target="_blank">industry-leading security</a>, <a href="https://blog.kraken.com/category/crypto-education" rel="noopener noreferrer nofollow ugc" target="_blank">crypto education</a>, and <a href="https://blog.kraken.com/crypto-education/support-at-kraken" rel="noopener noreferrer nofollow ugc" target="_blank">world-class client support</a> through our products like <a href="https://pro.kraken.com/" rel="noopener noreferrer nofollow ugc" target="_blank">Kraken Pro</a>, <a href="https://www.kraken.com/desktop" rel="noopener noreferrer nofollow ugc" target="_blank">Desktop</a>, <a href="https://www.kraken.com/wallet" rel="noopener noreferrer nofollow ugc" target="_blank">Wallet</a>, and <a href="https://www.kraken.com/features/futures" rel="noopener noreferrer nofollow ugc" target="_blank">Kraken Futures</a>.Become a Krakenite and build the future of crypto!<h3>The Opportunity</h3>You will serve as the primary architect and builder of AI-powered solutions within the Kraken People team. This is a full-stack ownership role spanning opportunity identification, solution design, deployment, governance, and transfer capability back to the People team so they can maintain and extend what you build.You’ll work at the intersection of AI/LLM engineering and HR systems—turning manual, fragmented People processes into autonomous, agentic workflows that serve thousands of Krakenites globally. This is hands-on engineering with direct business impact, not experimentation. Responsibilities:<h3>Design and deploy AI-powered HR solutions</h3><ul><li>Architect and build agentic workflows using n8n, Claude API, Python, and MCP that take real actions in HR processes with appropriate human oversight and approval gates.</li><li>Build multi-agent systems with tool use, function calling, and multi-step reasoning that connect fragmented HR tools (HRIS, ATS, payroll, ticketing) into coherent, end-to-end workflows.</li><li>Build error handling, audit trails, payroll-calendar awareness, and human-in-the-loop checkpoints into every production system before deployment.</li><li>Ensure all automations comply with data classification requirements for employee PII, regulated data, and cross-jurisdictional privacy obligations.</li></ul><h3>Own governance and risk for People AI systems</h3><ul><li>Classify all automation builds by risk tier before work begins. No build goes to production without a named Process Owner, documented data flows, and access controls confirmed.</li><li>Maintain audit logging and documentation for all systems touching regulated employee data or payroll-adjacent workflows.</li><li>Halt or redesign builds that introduce unacceptable payroll, legal, or data privacy risk. Own that decision and get organizational acceptance before proceeding.</li><li>Serve as the HRKX domain representative in contributing to governance standards and cross-functional build alignment.</li></ul><h3>Multiply the People team's capability</h3><ul><li>Produce documentation, workflow templates, and runbooks that HRKX professionals can use and maintain without technical support.</li><li>Train People team members on AI-assisted tools and workflows deployed in production. Drive adoption, not just delivery.</li><li>Track and report on automation impact: manual hours eliminated, error rates reduced, payroll exceptions avoided, and capacity unlocked for strategic HR work.</li><li>Act as a force multiplier for the HR KX team, enabling HR professionals to focus on high-value advisory and people judgment work through process, technology, and AI enablement.</li></ul><h3>Skills You Should HODL</h3>These are verified requirements for this role. Candidates who do not meet the core requirements will not advance to interview.<ul><li>5+ years of software engineering experience, with at least 2+ years focused on building AI/ML-powered applications or agentic systems in production.</li><li>2–3+ years of experience working on HR, People Operations, or people technology problems—either at an HR tech company, on an internal People Engineering team, or in a technical role embedded within an HR function.</li><li>Strong fluency with AI and workflow automation tools, with demonstrated experience designing, deploying, and driving adoption of AI solutions within HR workflows</li><li>Demonstrated hands-on experience designing and deploying AI-powered or automated workflows in a production environment used by others, not just experimentation.</li><li>Deep working knowledge of Workday, including job change workflows, worker conversions, EIB data uploads, integration architecture, and payroll dependencies.</li><li>Systems thinker with a strong implementation mindset — able to move from discovery → design → build → deployment → optimization without relying on external consultant</li><li>Proficiency with AI tooling stack: n8n, Python, Claude API/Anthropic SDK, or equivalent. Experience connecting HR systems via API is required.</li><li>Strong analytical problem-solving skills with the ability to structure ambiguous people questions into clear, actionable, automated analysis.</li><li>Solid understanding of employee data classification, PII handling requirements, and cross-jurisdictional HR compliance obligations.</li></ul><h3>Nice to Haves</h3><ul><li>Experience with Workday Prism, Qualtrics, or other BI and HR analytics tools for people data reporting and strategy automation.</li><li>Experience using AI for text analysis, survey insights, or workflow automation in an HRIS or people analytics context.</li><li>Experience with Ashby including API integration and pipeline automation.</li><li>Experience with spreadsheet automation (Google Apps Script or equivalent) and advanced proficiency in Excel and Google Sheets for analytics solution development.</li><li>Python or R programming skills for people data analysis, modeling, or pipeline automation.</li><li>Background in HR technology platform administration: HRIS, ATS, survey platforms, or workforce management systems.</li><li>Prior experience standing up or operating an HR automation or people analytics function.</li><li>Degree with a quantitative focus (Industrial-Organizational Psychology, Mathematics, Statistics, or equivalent) combined with applied technical automation experience.</li><li>Experience in fintech, crypto, or a high-growth remote-first company where HR systems serve employees across 50+ countries.</li></ul>Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis.Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution.We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.Kraken is powered by people from around the world and we celebrate all Krakenites for their diverse talents, backgrounds, contributions and unique perspectives. We hire strictly based on merit, meaning we seek out the candidates with the right abilities, knowledge, and skills considered the most suitable for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgable about crypto!We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments are designed to evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Assessment results are considered alongside other relevant information, such as experience and interviews, and are not the sole basis for any employment decision.As an equal opportunity employer, we don’t tolerate discrimination or harassment of any kind. Whether that’s based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status or any other protected characteristic as outlined by federal, state or local laws. Stay in the know<a href="https://twitter.com/krakenfx" rel="noopener noreferrer nofollow ugc" target="_blank">Follow us on Twitter</a><a href="https://blog.kraken.com/#:~:text=Enter%20your%20email%20address" rel="noopener noreferrer nofollow ugc" target="_blank">Learn on the Kraken Blog</a><a href="https://www.linkedin.com/company/kraken-exchange/" rel="noopener noreferrer nofollow ugc" target="_blank">Connect on LinkedIn</a><a href="https://www.kraken.com/legal/candidate-privacy-notice" rel="noopener noreferrer nofollow ugc" target="_blank">Candidate Privacy Notice</a>

AI Agents Solutions Architect - HR

<h3>Building the Future of Crypto </h3>Our Krakenites are a world-class team with crypto conviction, united by our desire to discover and unlock the potential of crypto and blockchain technology.What makes us different?Kraken is a mission-focused company rooted in crypto values. As a Krakenite, you’ll join us on our mission to accelerate the global adoption of crypto, so that everyone can achieve financial freedom and inclusion. For over a decade, Kraken’s focus on our mission and crypto ethos has attracted many of the most talented crypto experts in the world.Before you apply, please read the <a href="https://www.kraken.com/culture" rel="noopener noreferrer nofollow ugc" target="_blank">Kraken Culture</a> page to learn more about our internal culture, values, and mission. We also expect candidates to familiarize themselves with the Kraken app. Learn how to create a Kraken account <a href="https://support.kraken.com/hc/en-us/articles/226090548-How-to-create-an-account-on-Kraken" rel="noopener noreferrer nofollow ugc" target="_blank">here</a>.As a fully remote company, we have Krakenites in 70+ countries who speak over 50 languages. Krakenites are industry pioneers who develop premium crypto products for experienced traders, institutions, and newcomers to the space. Kraken is committed to <a href="https://blog.kraken.com/crypto-education/security-at-kraken" rel="noopener noreferrer nofollow ugc" target="_blank">industry-leading security</a>, <a href="https://blog.kraken.com/category/crypto-education" rel="noopener noreferrer nofollow ugc" target="_blank">crypto education</a>, and <a href="https://blog.kraken.com/crypto-education/support-at-kraken" rel="noopener noreferrer nofollow ugc" target="_blank">world-class client support</a> through our products like <a href="https://pro.kraken.com/" rel="noopener noreferrer nofollow ugc" target="_blank">Kraken Pro</a>, <a href="https://www.kraken.com/desktop" rel="noopener noreferrer nofollow ugc" target="_blank">Desktop</a>, <a href="https://www.kraken.com/wallet" rel="noopener noreferrer nofollow ugc" target="_blank">Wallet</a>, and <a href="https://www.kraken.com/features/futures" rel="noopener noreferrer nofollow ugc" target="_blank">Kraken Futures</a>.Become a Krakenite and build the future of crypto!<h3>Proof of work</h3><h3>The team</h3>You will join a senior team of DBAs, SREs, and platform engineers responsible for the database and vector data platforms behind Kraken's most critical services. The group combines deep operational expertise with a platform mindset: we design systems that let engineering teams move quickly while preserving strong guarantees around performance, correctness, security, and reliability.The team is entering an important phase of evolution as Kraken continues to expand globally and as AI-enabled product and internal platform use cases grow. Over the next year, we are focused on strengthening PostgreSQL operational excellence, building reliable vector data capabilities, preparing for significant future scale, and increasing automation and self-service so database operations become safer and more efficient at scale.This is not a traditional keep-the-lights-on DBA team. Our work centers on scaling high-throughput PostgreSQL environments, operating vector search and embedding stores with production discipline, shaping reliable patterns for high-traffic systems, and transforming operational knowledge into automated, auditable workflows that uplift the engineering organization.<h3>The opportunity</h3><ul><li>Design, develop, and maintain high-quality applications using React</li><li>Scale and tune high-throughput PostgreSQL clusters that support continued global expansion and new product initiatives.</li><li>Own PostgreSQL reliability fundamentals: WAL behavior, checkpoints, autovacuum, query planning, locking, replication lag, backup/restore, and capacity planning.</li><li>Help build and operate vector data capabilities, including pgvector and dedicated VectorDB platforms where appropriate.</li><li>Define production patterns for embeddings, approximate nearest neighbor indexes, metadata filtering, recall/latency tradeoffs, reindexing, data freshness, and drift management.</li><li>Strengthen high-availability, disaster-recovery, PITR, and backup approaches through sound design and regularly validated procedures.</li><li>Reduce manual operational work by building automation, improving process consistency, and enabling safe, low-friction database workflows.</li><li>Improve observability and alert quality by championing meaningful metrics, reducing noise, and ensuring operational clarity across PostgreSQL and vector workloads.</li><li>Enhance database security through robust access controls, disciplined patching and upgrade practices, encryption, auditability, and secure operational patterns.</li><li>Contribute to modern platform initiatives, including containerized environments, infrastructure-as-code workflows, GitOps, reproducible deployments, and self-service database operations.</li><li>Partner with service, AI, and platform teams to drive better performance patterns, operational readiness, data hygiene, and safe use of vector search across the engineering organization.</li><li>Participate in on-call rotations with a long-term focus on making on-call predictable, well-instrumented, and shaped by preventative engineering.</li></ul><h3>Skills you should HODL</h3><ul><li>5+ years operating PostgreSQL in high-volume production environments, including performance tuning, replication, backup/restore, upgrades, and incident troubleshooting.</li><li>Strong understanding of PostgreSQL internals and operations: MVCC, transaction isolation, locks, WAL, checkpoints, autovacuum, bloat, statistics, query planner behavior, partitioning, and index strategy.</li><li>Hands-on experience with high availability and read scaling: streaming replication, replication slots, failover, lag management, PITR, backups, and disaster-recovery drills.</li><li>Experience with connection pooling and traffic management for PostgreSQL, especially PgBouncer, HAProxy, Kubernetes service routing, or comparable patterns.</li><li>Practical VectorDB or vector search experience, such as pgvector, Qdrant, Milvus, Weaviate, OpenSearch vector search, or similar systems.</li><li>Ability to reason about vector index types and operational tradeoffs, including HNSW/IVFFlat-style indexes, recall, latency, memory, ingestion throughput, metadata filters, rebuilds, and versioned embeddings.</li><li>Practical experience with CI/CD, GitOps, and Infrastructure-as-Code workflows. Terraform experience is ideal.</li><li>Solid cloud, Linux, storage, and networking fundamentals.</li><li>Experience with containers and orchestration platforms, including building container images and managing Kubernetes workloads at scale.</li><li>Strong security instincts around access control, credential lifecycle, encryption, auditability, upgrade processes, and safe operational workflows.</li><li>Observability expertise: monitoring, alerting hygiene, SLOs, dashboards, query-level visibility, and readiness for incident response.</li><li>Strong communication and collaboration skills with the ability to partner with stakeholders, negotiate long-term plans, write formal documentation, and tie success to specific metrics and KPIs.</li></ul><h3>Nice to haves</h3><ul><li>Experience with SRE methodologies such as error budgets, operational reviews, reliability programs, and failure exercises.</li><li>Strong scripting or programming ability, preferably Python, Go, or Rust, used to build automation and internal tools.</li><li>Hands-on experience with GitOps tooling such as ArgoCD, GitHub Actions, or GitLab CI.</li><li>Exposure to multi-region, multi-datacenter, or active/passive disaster-recovery designs.</li><li>Experience supporting AI, retrieval, personalization, fraud, search, or recommendation systems that depend on embeddings or hybrid search.</li><li>Interest in cryptocurrency or decentralized systems.</li></ul>Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis.Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution.We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.Kraken is powered by people from around the world and we celebrate all Krakenites for their diverse talents, backgrounds, contributions and unique perspectives. We hire strictly based on merit, meaning we seek out the candidates with the right abilities, knowledge, and skills considered the most suitable for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgable about crypto!We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments are designed to evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Assessment results are considered alongside other relevant information, such as experience and interviews, and are not the sole basis for any employment decision.As an equal opportunity employer, we don’t tolerate discrimination or harassment of any kind. Whether that’s based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status or any other protected characteristic as outlined by federal, state or local laws. Stay in the know<a href="https://twitter.com/krakenfx" rel="noopener noreferrer nofollow ugc" target="_blank">Follow us on Twitter</a><a href="https://blog.kraken.com/#:~:text=Enter%20your%20email%20address" rel="noopener noreferrer nofollow ugc" target="_blank">Learn on the Kraken Blog</a><a href="https://www.linkedin.com/company/kraken-exchange/" rel="noopener noreferrer nofollow ugc" target="_blank">Connect on LinkedIn</a><a href="https://www.kraken.com/legal/candidate-privacy-notice" rel="noopener noreferrer nofollow ugc" target="_blank">Candidate Privacy Notice</a>

Senior Database Administrator

<h3>Building the Future of Crypto </h3>Our Krakenites are a world-class team with crypto conviction, united by our desire to discover and unlock the potential of crypto and blockchain technology.What makes us different?Kraken is a mission-focused company rooted in crypto values. As a Krakenite, you’ll join us on our mission to accelerate the global adoption of crypto, so that everyone can achieve financial freedom and inclusion. For over a decade, Kraken’s focus on our mission and crypto ethos has attracted many of the most talented crypto experts in the world.Before you apply, please read the <a href="https://www.kraken.com/culture" rel="noopener noreferrer nofollow ugc" target="_blank">Kraken Culture</a> page to learn more about our internal culture, values, and mission. We also expect candidates to familiarize themselves with the Kraken app. Learn how to create a Kraken account <a href="https://support.kraken.com/hc/en-us/articles/226090548-How-to-create-an-account-on-Kraken" rel="noopener noreferrer nofollow ugc" target="_blank">here</a>.As a fully remote company, we have Krakenites in 70+ countries who speak over 50 languages. Krakenites are industry pioneers who develop premium crypto products for experienced traders, institutions, and newcomers to the space. Kraken is committed to <a href="https://blog.kraken.com/crypto-education/security-at-kraken" rel="noopener noreferrer nofollow ugc" target="_blank">industry-leading security</a>, <a href="https://blog.kraken.com/category/crypto-education" rel="noopener noreferrer nofollow ugc" target="_blank">crypto education</a>, and <a href="https://blog.kraken.com/crypto-education/support-at-kraken" rel="noopener noreferrer nofollow ugc" target="_blank">world-class client support</a> through our products like <a href="https://pro.kraken.com/" rel="noopener noreferrer nofollow ugc" target="_blank">Kraken Pro</a>, <a href="https://www.kraken.com/desktop" rel="noopener noreferrer nofollow ugc" target="_blank">Desktop</a>, <a href="https://www.kraken.com/wallet" rel="noopener noreferrer nofollow ugc" target="_blank">Wallet</a>, and <a href="https://www.kraken.com/features/futures" rel="noopener noreferrer nofollow ugc" target="_blank">Kraken Futures</a>.Become a Krakenite and build the future of crypto!<h3>Proof of work</h3><h3>The team</h3>Kraken's Data Platform team builds the real-time infrastructure that powers decision-making across one of the world's largest digital asset exchanges. We operate at the intersection of streaming data, large-scale platform engineering, and AI-driven automation — processing billions of events daily across trading, compliance, and product systems.This role leads the team responsible for Kraken's streaming and data platform layer — designing systems that move, transform, and serve data in real time. You'll own the architecture around stream processing (RisingWave, Flink), drive adoption of AI-powered automation and workflows across the data stack, and build the platform primitives that the rest of engineering depends on.<h3>The opportunity</h3><ul><li>Lead and grow a team of senior data platform engineers building Kraken's real-time streaming infrastructure</li><li>Own the architecture and roadmap for high-volume low-frequency data systems, with focus on data stack like Spark, Kafka, Iceberg, RisingWave, Apache Flink</li><li>Design and operate scalable data architecture that serve trading, risk, compliance, analytics and many product teams.</li><li>Drive adoption of AI automation and intelligent workflows — automating data quality checks, pipeline orchestration, anomaly detection, and self-healing infrastructure</li><li>Partner with ML/AI, analytics, and product engineering teams to deliver platform capabilities that accelerate their work</li><li>Evolve Kraken's data-lake and warehouse architecture to support both batch and streaming workloads seamlessly</li><li>Set technical direction for the team — balancing reliability, velocity, and cost efficiency at scale</li><li>Hire, mentor, and retain top-tier platform engineers; build a culture of ownership and technical excellence</li></ul><h3>Skills you should HODL</h3><ul><li>8+ years in data engineering, platform engineering, or distributed systems — with at least 3 years managing engineering teams</li><li>Experience and knowledge of building data-lakes in AWS (i.e. Spark, Athena, Iceberg, Parquet, Presto), including data modeling, data quality best practices, and self-service tooling.</li><li>Strong expertise in building and operating real-time data at scale including Kafka, Spark Streaming, Debezium, and CDC pipelines.</li><li>Proven ability to manage competing priorities across multiple stakeholder groups — aligning platform investments with the needs of product, finance, compliance, analytics, and other teams</li><li>Strong communicator — able to explain risks, trade-offs, and roadmap decisions to both senior technical audiences and non-specialist stakeholders.</li><li>Experience designing or adopting AI/ML-powered automation in data workflows — pipeline orchestration, intelligent monitoring, automated remediation, or LLM-integrated tooling</li><li>Proficiency in Python, Scala, or Java in a production data platform context</li><li>Solid understanding of cloud-native data infrastructure (AWS preferred — Glue, Athena, S3, EMR, Lambda, or equivalents)</li><li>Track record of managing, recruiting, and developing high-performing remote engineering teams</li><li>Ability to translate long-term platform vision into executable quarterly roadmaps</li><li>Servant-leadership style — you coach, unblock, and grow your engineers</li><li>AI-ready to 10X the team efficiency and overall output.</li></ul><h3>Nice to haves</h3><ul><li>Experience with RisingWave and/or Clickhouse specifically — either in production or in serious evaluation</li><li>Familiarity with LLM-based agents or AI workflow frameworks (e.g. LangChain, LangGraph, custom orchestration)</li><li>Background in cryptocurrency, trading systems, or high-throughput financial data</li><li>Experience building self-service data platform tooling for internal engineering consumers</li><li>Contributions to open-source streaming or data infrastructure projects</li></ul>Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis.Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution.We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.Kraken is powered by people from around the world and we celebrate all Krakenites for their diverse talents, backgrounds, contributions and unique perspectives. We hire strictly based on merit, meaning we seek out the candidates with the right abilities, knowledge, and skills considered the most suitable for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgable about crypto!We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments are designed to evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Assessment results are considered alongside other relevant information, such as experience and interviews, and are not the sole basis for any employment decision.As an equal opportunity employer, we don’t tolerate discrimination or harassment of any kind. Whether that’s based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status or any other protected characteristic as outlined by federal, state or local laws. Stay in the know<a href="https://twitter.com/krakenfx" rel="noopener noreferrer nofollow ugc" target="_blank">Follow us on Twitter</a><a href="https://blog.kraken.com/#:~:text=Enter%20your%20email%20address" rel="noopener noreferrer nofollow ugc" target="_blank">Learn on the Kraken Blog</a><a href="https://www.linkedin.com/company/kraken-exchange/" rel="noopener noreferrer nofollow ugc" target="_blank">Connect on LinkedIn</a><a href="https://www.kraken.com/legal/candidate-privacy-notice" rel="noopener noreferrer nofollow ugc" target="_blank">Candidate Privacy Notice</a>

Data Platform Engineering Manager

4 link clicks.

Reap

As an Engineering Manager for Card Market Expansion, you will lead the engineering effort to launch and sustain Reap's card programs across new markets in NA, EMEA, and LATAM. You'll own the end-to-end engineering delivery for market entry: from local regulatory integration and processor configuration, to coordinating cross-team dependencies (Treasury, Onboarding, Compliance, Infrastructure, and Data Warehouse), to ensuring stable, supported operations after go-live.This is a high-ownership, hands-on leadership role that sits at the intersection of product delivery, compliance requirements, and cross-functional engineering. You'll guide engineering strategy, participate in technical design, and be instrumental in shaping how Reap scales its card issuing infrastructure across multiple regulatory environments.

Engineering Manager, Card Solutions (NA/EMEA Expansion)

Multiple locations (Toronto, Ottawa, United Kingdom, Ireland)

15 link clicks.

Staff Security Architect

9 link clicks.

Senior Product Engineer, Embedded Finance

Multiple locations

Remote Web3 Engineering jobs in United Kingdom, EuropeReap, Kraken and other crypto companies

Find Remote Engineering Jobs in United Kingdom, Europe. Build cutting-edge blockchain protocols and decentralized systems with top engineering teams. Browse 3+ open roles at Reap, Kraken. Apply now!

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Engineering Manager, Card Solutions (NA/EMEA Expansion)

Reap

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