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Location: Beograd, Serbia Workplace: hybrid About The Role: Join Paysend’s Automation and Efficiency team to help build and improve backend systems that support global payment operations at scale. This role focuses on designing and developing high-performance backend services and internal tooling used to process and analyze millions of financial transactions daily. You’ll work across distributed systems and data-heavy workflows where reliability, performance, and correctness are critical. This is a strong fit for engineers who enjoy solving complex backend and data problems, working across multiple services, and building systems that operate under real-world scale and operational demands. What You'll Do (Responsibilities): Design, implement, and maintain backend services and internal tools in Java, powering the processing and analysis of millions of financial transactions daily Own and evolve PostgreSQL -based data models, queries, and performance optimization across multiple services. Build and improve systems that automate operational and transaction-monitoring workflows at scale Work within a distributed microservices ecosystem, handling service communication, dependencies, and evolving integrations Contribute to the design and implementation of a new fraud monitoring platform built on the company’s modern technology stack Investigate complex production and operational issues, identify bottlenecks, and implement long-term improvements Collaborate closely with QA and Analytics teams to ensure systems are reliable, scalable, and operationally effective Monitor and improve system performance, observability, reliability, and scalability across services Contribute to CI/CD and deployment automation improvements across engineering workflows What You’ll Need To Be Successful In This Role: 5+ years of backend development experience with Java and Spring Strong hands-on experience with PostgreSQL in production systems Experience working with distributed systems and microservices architectures Experience with major cloud platforms, preferably AWS or GCP Strong engineering mindset with the ability to solve unfamiliar and complex technical problems independently Comfortable working across multiple services and technical domains Strong ownership mentality from implementation through deployment and operational support Ability to adapt quickly to changing technical and business priorities Great to have: Experience with CI/CD pipelines and deployment automation (GitLab preferred) Experience with Docker or other containerization technologies Hands-on experience with C# or Rust Experience in fintech, payments, fraud detection, or other transaction-heavy systems Bachelor’s or Master’s degree in Computer Science or a related field Why Join Paysend? Make a Global Impact: Join a company that is transforming how people and businesses move money around the world. Your work will contribute to products and services that help millions of customers stay connected globally. Own Meaningful Outcomes: We empower our people to take ownership, make decisions, and drive real impact. You'll have the opportunity to shape solutions, challenge the status quo, and see the results of your work firsthand. Grow with Us: As a fast-growing global fintech, we offer opportunities to learn, develop new skills, take on new challenges, and advance your career across functions and geographies. Collaborate with Exceptional People: Work alongside talented colleagues from diverse backgrounds and disciplines who are united by a shared ambition to build, innovate, and deliver great outcomes for our customers. Move Fast and Make Things Happen: We value action, curiosity, and continuous improvement. You'll be part of a culture that encourages experimentation, embraces change, and focuses on delivering meaningful results. Be Part of Our Journey: We're building the future of the global money movement. Join us at an exciting stage of growth where your ideas, expertise, and contributions can help shape what's next.

Location: Belgrade, Serbia; Berlin, Germany; Limassol, Cyprus; Madrid, Spain; Munich, Germany; Paphos, Cyprus; Warsaw, Poland JetBrains creates professional tools that make developers more productive and help them focus on what matters. Our websites and web services are a core part of the JetBrains ecosystem. They connect us with users worldwide, power product distribution, support learning, and enable feedback loops at scale. We are currently looking for a Software Developer to join our Web Development team . The ideal candidate will be someone who can take ownership of services end-to-end, from architecture and implementation to deployment and long-term support. In this role, you will: Design and develop internal company-wide web applications and services. Participate in the creation of solution architecture, from selecting approaches to decomposing services and defining their interactions. Build and maintain services running in AWS and Kubernetes-based environments. Develop tools and platforms for localization workflows and integrate them with third-party systems. Improve the reliability, scalability, and observability of our systems. Collaborate with other teams to evolve shared infrastructure and internal platforms. We’ll be happy to have you on our team if you have: Strong  3- 5 years experience in backend web development using Kotlin or Java. Experience with Node.js. A solid understanding of modern backend frameworks (e.g. Ktor and Spring). Experience designing and building production-grade systems. An understanding of distributed-system fundamentals (e.g. networking, fault tolerance, and scalability). Experience working with cloud environments (AWS or similar). Familiarity with containerization and orchestration. The ability to write clean, maintainable, and well-structured code. A willingness to take ownership of systems in production (including by offering support and assisting with continuous improvement). Good communication skills and a collaborative mindset. We would be especially thrilled if you have: Experience with infrastructure as code (e.g. Terraform). Experience with CI/CD pipelines and deployment automation. Experience with observability tools (e.g. metrics, logging, and tracing). Practical experience using AI tools or agents in development workflows. Why join JetBrains? Strong base salary. We offer competitive pay that reflects your skills and experience. Flexible work location. Enjoy the freedom to work from home or from the office. Remote work. Spend up to 30 days per year working remotely from abroad. Extra time off. More days to relax, recharge, and do the things you love. Medical insurance allowance. Enjoy peace of mind for you and your family Learning and development opportunities. Access to conferences, courses, and language classes. Relocation support. We help make your move as smooth and stress-free as possible. Language classes. Pick up the local language or sharpen your English skills. Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays. Mental health support. To help you feel your best, we provide easy access to professional mental health services. Sports benefit. Enjoy an on-site gym or sports club stipend. Internal events. Join company-wide celebrations and team gatherings. *Some benefits may vary depending on location. #LI-MP1 We are an equal opportunity employer We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation. We process the data provided in your job application in accordance with the Recruitment Privacy Policy.

Location: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE We are looking for a Software Test Engineer to own the quality of the software products that live around our robots — the humanoid console, the inference servers infrastructure, and the backend services that connect everything together. This is a software-first role. You will not need to bolt on a HIL bench or wire up sensors. You will be testing APIs, web UIs, distributed services, and the infrastructure that runs our models. You will work closely with backend engineers, frontend developers, and the ML platform team. WHAT YOU'LL DO - Console Testing: Own the quality of the humanoid operator console — front-end behavior, API contracts, edge cases, and the user-facing flows operators rely on. - Inference Infrastructure: Test the inference servers and model-serving stack — latency, throughput, failover, version rollouts. - Backend Services: Validate backend services and their APIs — auth, data pipelines, telemetry, fleet management — including contract testing and integration testing. - Test Automation: Design and implement automated test suites that run in CI/CD; expand coverage as the platform grows. - Quality Strategy: Define test methods, quality criteria, and metrics; participate in shaping the overall testing strategy for the software platform. - Documentation: Document tests in our test tracking system and keep internal documentation accurate. WHAT WE'RE LOOKING FOR - Experience: 4+ years in software testing, with strong experience testing client-server systems (front-end, back-end, APIs). - Test Design: Strong grasp of testing theory and test design techniques — equivalence partitioning, boundary analysis, state-based testing, and similar. - Automation: Hands-on Python for test automation. Familiarity with an API testing framework (pytest + requests, or equivalent). - Linux: Comfortable operating in Linux environments and interacting with services over the terminal. - Version Control: Experience with Git. - CI/CD: Understanding of CI/CD pipelines and how automated tests integrate into them. - Test Tracking: Experience with a test management or task tracking system (Jira, TestRail, or similar). Nice-to-Have: - Front-end test automation (Selenium, Playwright, Cypress). - Performance and load testing (k6, Locust, JMeter). - Containerization (Docker, basic Kubernetes). - Familiarity with ML model serving infrastructure (Triton, TorchServe, etc.) and the kinds of things that can go wrong there. - Knowledge of one other language (JavaScript/TypeScript, Go, or C++). - Awareness of the robotics domain — knowing what a humanoid robot needs from its software stack. TECH STACK - Languages: Python (primary), JavaScript/TypeScript for front-end work - Backend: REST/gRPC APIs, message queues - Infrastructure: Linux, Docker, cloud (AWS/GCP) - Tooling: Git, GitHub/GitLab, test management tooling WHAT WE OFFER - Competitive equity: stock options with meaningful upside as we scale. - 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown). - Private healthcare, including virtual and in-person care. - Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in-office. - Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. - Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

Location: Montreal; Canada; Serbia Workplace: remote ABOUT YOU We are looking for a Tech Lead to drive delivery and cross-team coordination for the Shop Builder DevX and AI team. You are the bridge between architecture and execution: you take the technical direction set by the Principal Engineer and turn it into a running, shipping team. You lead a squad of three engineers building the developer surface that Shop Builder is missing — MCP server, CLI, SDK, documentation pipeline, local dev environment, deploy and versioning path. You set the delivery cadence, remove blockers, coordinate inbound dependencies from payments, auth, live ops, and catalog, and own the quality of what ships. This is a hands-on role. You write production code, lead code reviews, and drive technical decisions within your domain. You also have the seniority and judgment to coordinate across teams and represent the team's work to engineering leadership. ABOUT US Xsolla is a global payments and commerce platform for the games industry, used by thousands of publishers to monetize, distribute, and operate their titles worldwide. Shop Builder is Xsolla's storefront platform — used by publishers and game developers to launch and operate game shops, from straightforward catalog and webshops to fully custom storefronts built headless on our backend. For more information, visit xsolla.com. The DevX and AI team owns the public APIs, documentation, and AI features that give developers — and AI agents — the full surface they need to customize and extend Shop Builder. This is a net-new team of seven, standing up to fill a real gap: no dedicated team has owned the developer surface end to end. That changes now. Responsibilities Drive the delivery of the Shop Builder developer surface: MCP server, CLI and local dev environment, public SDK, documentation pipeline, sandbox and preview environments, deploy and versioning path. Lead and mentor a team of three engineers — setting technical direction within the squad, running code reviews, and ensuring consistent engineering quality. Own cross-team coordination: identify and pull inbound API capabilities from payments, auth, live ops, and catalog teams; unblock dependencies; manage integration timelines. Actively contribute to implementation — you ship production code alongside the team, particularly on the most critical and complex components. Partner with the Principal Engineer to translate architecture decisions into sprint-level execution plans and realistic timelines. Collaborate with the PO on roadmap sequencing, scope decisions, and trade-offs between speed and correctness. Own the team's delivery rhythm: sprint planning, technical grooming, retrospectives, and status visibility to engineering and business leadership. Define and maintain the team's engineering standards: testing strategy, observability, deployment practices, and documentation quality. Act as the primary technical contact for integrations with headless partners and the MIT professional services team during early partner onboarding. Contribute to hiring by conducting technical interviews and defining what great looks like for the engineers joining this team. Qualifications & Skills 6+ years of professional software engineering experience, with at least 2 years in a tech lead, staff, or senior lead role driving delivery across a team. Strong proficiency in JavaScript/TypeScript and Node.js, with experience shipping production APIs, CLIs, or SDKs to external developers. Hands-on experience building CLI tools and developer-facing workflows: command design, config file formats, local dev loops, deploy commands, and error messages that actually help. Solid understanding of REST API design principles, SDK ergonomics, and what makes a developer experience work — you have strong opinions and can back them up. Practical familiarity with the Model Context Protocol (MCP) or agentic tool-use patterns: you understand how AI agents consume tool interfaces and what makes a tool reliable for an LLM. Experience coordinating across multiple engineering teams to ship features that depend on inbound capabilities you don't own. Proven ability to lead engineers: clear technical direction, raising the quality bar through reviews, developing other engineers' skills. Cloud-native experience: CI/CD pipelines, containerization (Docker/Kubernetes), and deployment automation on AWS or GCP. Strong communication skills — you translate technical complexity into clear status for leadership, and technical requirements into actionable work for your team. Nice to Have Experience in game tech, digital commerce, storefront platforms, or headless architecture. Background building React component libraries, design systems, or frontend platforms consumed by external developers. Experience building sandboxed execution environments for third-party code (custom blocks, extensions, plugins). Familiarity with LLM-generated code evaluation: assessing whether an AI-produced block, component, or layout is correct and safe to ship. Prior experience standing up a greenfield team from scratch and knowing what that demands. Exposure to documentation-as-code workflows and toolchains that publish to multiple surfaces from a single source of truth. Benefits: We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.    Equal Employment Opportunity Statement: Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law.   We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.   Criminal History Consideration: For this role, we will conduct a background check that may include the following: Criminal history check Employment verification Education verification Relevance to Job Responsibilities: The background check is relevant to this position because of the following role responsibilities: Accessing confidential company data Ensuring compliance with regulatory requirements Handling sensitive financial information/managing budgets/accessing funds Rights Under the Fair Chance Act: Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com.

Location: Montreal; Canada; Serbia Workplace: remote ABOUT YOU We are looking for a Principal Engineer to take architectural ownership of the agent-readable Shop Builder platform. This is the most senior individual contributor role on the DevX and AI team, and the decisions you make here — which surfaces to expose, which formats to support, which standards to set — will bind the platform for years. You are not a manager, but your influence is org-wide. You define how developers and AI agents interact with Shop Builder's foundational capabilities: UI as Data, custom blocks, themes, data binding, catalog, payments. You are the technical authority on what the platform exposes and how, and you are deeply hands-on with the hardest parts of that work.   ABOUT US Xsolla is a global payments and commerce platform for the games industry, used by thousands of publishers to monetize, distribute, and operate their titles worldwide. Shop Builder is Xsolla's storefront platform — used by publishers and game developers to launch and operate game shops, from straightforward catalog and webshops to fully custom storefronts built headless on our backend. For more information, visit xsolla.com. The DevX and AI team owns the public APIs, documentation, and AI features that give developers — and AI agents — the full surface they need to customize and extend Shop Builder. This is a net-new team of seven, standing up to fill a real gap: no dedicated team has owned the developer surface end to end. That changes now. Responsibilities Own the technical architecture of the agent-readable Shop Builder platform: which APIs to expose, in what shape, through which surfaces (REST, SDK, MCP, CLI). Define the interface contracts that LLMs and developers interact with — React component APIs, custom block schemas, theme tokens, data binding formats — and maintain them with the rigor of a public API. Design and lead delivery of the MCP server that allows AI agents (Claude Code, Cursor, etc.) to build, deploy, and operate Shop Builder storefronts end-to-end without the editor in the loop. Architect the CLI and local development environment: how developers scaffold projects, iterate locally, preview changes, and push to production. Define the deploy, versioning, and rollback model for developer-published content — custom blocks, themes, and layouts. Design the sandbox and preview environment system so agents and developers can iterate without touching live partner sites. Set the documentation standard: written for LLMs and humans as first-class users, maintained from single canonical sources and published to every surface (CLI help, dev docs, MCP tool descriptions, AI context). Lead the eval harness architecture: how the team measures whether an LLM-generated block, theme, or layout is correct before it ships. Collaborate with Principal/Staff Engineers across payments, auth, live ops, and catalog to pull inbound capabilities into coherent developer-facing surfaces. Serve as the technical bar-raiser for the team: define code standards, review critical implementation decisions, and mentor the Tech Lead and engineers. Contribute to hiring and define the technical culture of the team from day one. Qualifications & Skills 10+ years of professional engineering experience, with a demonstrated track record as a Staff or Principal engineer who has shaped platforms, APIs, or developer tooling used by external builders. Deep expertise in designing and shipping public APIs and SDKs, including versioning strategy, backwards compatibility, and developer ergonomics — strong opinions about what makes an API delightful vs. painful. Expert-level proficiency in JavaScript/TypeScript and React — the primary interface language for LLMs and developers on this platform. Hands-on experience building CLI tooling and local developer workflows (scaffolding, hot reload, file-based config, deploy commands). Solid understanding of the Model Context Protocol (MCP) or equivalent agentic tool-use interfaces, and practical experience building tools that AI agents can reliably invoke. Experience building systems at global scale on cloud infrastructure (AWS or GCP), with deep knowledge of containerization, CI/CD, and infrastructure-as-code. Ability to write and reason about LLM-friendly documentation and API surfaces: you understand that token-efficiency, predictability, and schema clarity matter as much as human readability. Exceptional technical communication: clear RFCs and ADRs, productive architecture reviews, and the ability to explain second-order consequences to engineering and business leadership. Comfort operating in a greenfield context — you define the structure rather than inherit it. Nice to Have Prior experience in game tech, digital commerce, or storefront platforms — understanding the publisher/developer relationship and headless vs. hosted deployment patterns. Experience building platforms where AI agents are a first-class user: MCP servers, LLM tool registries, agent eval pipelines. Familiarity with Figma's plugin/component API, design token standards, and design-to-code pipelines. Contributions to open-source developer tooling, SDK frameworks, or API standards. Background in block or extension marketplace design: sandboxing third-party code, schema validation, publisher ecosystems. Published technical writing, conference talks, or influential community presence in developer tooling or AI-native development. Benefits: We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.    Equal Employment Opportunity Statement: Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law.   We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.   Criminal History Consideration: For this role, we will conduct a background check that may include the following: Criminal history check Employment verification Education verification Relevance to Job Responsibilities: The background check is relevant to this position because of the following role responsibilities: Accessing confidential company data Ensuring compliance with regulatory requirements Handling sensitive financial information/managing budgets/accessing funds Rights Under the Fair Chance Act: Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com.

Location: New York; Ohio; Rhode Island; New Jersey; Delaware; Maine; Maryland; Vermont; North Carolina; Florida; Massachusetts; South Carolina; Virginia; Connecticut; Georgia; Pennsylvania; New Hampshire Workplace: Remote The engineering team at Chainalysis is inspired by solving the hardest technical challenges and building products that establish trust in cryptocurrencies. We're 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 automates entity resolution, optimizes data labeling pipelines, and creates predictive models that identify illicit patterns before they escalate. Our data and solutions have been used to solve some of the world's most high-profile criminal cases and grow consumer access to cryptocurrency safely. Now, by pairing the industry's most trusted blockchain data with agents that reason, investigate, and act, we help our customers scale their workflows as the cryptocurrency economy becomes increasingly mainstream. As a Senior Infrastructure Engineer in the Investigations group, you'll be a technical leader on the Government Systems team — the group responsible for the deployment platform and operational infrastructure that delivers Chainalysis Reactor to government and high-security customers. The mission of the Government Systems team is to ensure that Chainalysis's most security-sensitive customers can run Reactor reliably in their own environments — including networks with strict access controls and limited connectivity. Government Systems sits at the intersection of infrastructure operations and product delivery. Product teams own their application code, but rely on Government Systems to provision environments, manage release pipelines, and operate the deployment platform. As a senior engineer you will be the connective tissue between these groups — setting technical direction, resolving cross-cutting issues, and ensuring the platform evolves to meet growing demands. Note: This position requires eligibility to access U.S. Government information and systems. Due to applicable government security requirements, only U.S. citizens are eligible for this role. Due to collaboration with Europe, we are highly prioritizing candidates based in EST timezone. In this role, you'll: - Lead the design and evolution of RKE2 Kubernetes clusters across development, acceptance, and production environments — driving upgrades, capacity planning, networking strategy, and operational resilience - Architect and maintain infrastructure as code (Terraform) to provision and manage AWS-based environments, establishing patterns and modules that the team can scale with confidence - Own the CI/CD platform (GitHub Actions) end-to-end — designing pipeline architecture, improving build performance, and ensuring releases flow reliably through staged environments - Drive GitOps-based delivery strategy using Flux CD, defining standards for Helm charts and Kustomize overlays and ensuring consistent reconciliation across clusters - Define container image lifecycle policies — building, signing, storing, and distributing images across OCI registries for multiple deployment targets - Identify and eliminate operational toil through automation, improving environment provisioning, configuration management, and deployment processes at a systemic level - Establish and maintain monitoring, alerting, and incident response practices — owning dashboards, runbooks, and post-incident reviews that raise platform reliability over time - Serve as a technical point of contact for product service teams integrating into the deployment pipeline — unblocking teams, troubleshooting complex environment issues, and advocating for infrastructure best practices - Own the security posture of the deployment platform — managing secrets, certificates, RBAC policies, and security configurations to meet compliance and operational security requirements - Mentor and grow other engineers on the team through code review, pairing, design discussions, and knowledge sharing We're looking for candidates who have: - Deep experience operating Kubernetes in production at scale — cluster lifecycle management, Helm, networking, persistent storage, performance tuning, and complex workload troubleshooting - Expert-level proficiency with Terraform for provisioning and managing cloud infrastructure across multiple environments, including module design and state management strategies - Strong Linux systems administration skills (RHEL or similar — networking, storage, systemd, performance analysis, shell scripting) - Extensive experience designing and maintaining CI/CD pipelines (GitHub Actions, Jenkins, or similar), with a focus on reliability, speed, and developer experience - Deep familiarity with AWS services commonly used in infrastructure (EC2, S3, VPC, IAM, EBS, Lambda, and related networking and security services) - A strong operational mindset — you take ownership of reliability, think about failure modes proactively, and build automation to prevent recurring issues before they impact customers Nice to have experience: - Experience with GitOps tools such as Flux CD or ArgoCD in complex, multi-environment setups — including designing promotion strategies and managing drift - Familiarity with container registry operations, image distribution, OCI artifact management, and image signing or verification workflows - Experience managing databases in Kubernetes environments (e.g., PostgreSQL operators, stateful workloads, backup and recovery strategies) - Familiarity with Kafka or other message brokers in a containerized environment, including operational management and scaling - Experience with configuration management or automation tools (Ansible or similar) at fleet scale - Advanced scripting proficiency in Python for infrastructure automation, tooling, and integration work - Experience supporting environments with strict security or compliance requirements (FedRAMP, FIPS, IL environments, or similar) - Exposure to or passion for the cryptocurrency technology ecosystem Technologies we use: - Kubernetes: RKE2, Helm, Kustomize, Flux CD - Cloud provider: AWS (EC2, S3, EBS, VPC, IAM, Lambda) - Infrastructure as code: Terraform - CI/CD: GitHub Actions, semantic-release - Monitoring and alerting: Prometheus, Grafana, Datadog, Humio - Scripting and automation: Shell, Python - Container registries: OCI/Docker - Database management: PostgreSQL - Event streaming: Kafka - Operating systems: RHEL, Rocky Linux, Amazon Linux AI at Chainalysis AI 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 Chainalysis Chainalysis 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 here https://go.chainalysis.com/rs/503-FAP-074/images/Interview%20Accommodations%20Request.pdf. We can’t wait to meet you.

Location: London, England, United Kingdom Graham Capital Management, L.P. (collectively with its affiliates, "Graham") is an alternative investment manager founded in 1994 by Kenneth G. Tropin. Specializing in discretionary and quantitative macro strategies, Graham is dedicated to delivering strong, uncorrelated returns across a wide range of market environments. As one of the industry’s longest-standing global macro and trend-following managers, Graham remains committed to innovation, evolving its strategies through a robust investment, technology, and operational infrastructure. Graham harnesses the synergies between its discretionary and quantitative trading businesses to offer a broad suite of complementary alpha strategies, each built on the principles of thoughtful portfolio construction, active risk management, and diversification by design. Graham invests significant proprietary capital alongside its clients – including global institutions, endowments, foundations, family offices, sovereign wealth funds, investment management advisors, and qualified individual investors – reinforcing alignment of interests across all strategies. The foundation of Graham’s sustainability and success is the experience and contributions of its people. The firm seeks to cultivate talent, encourage the diversity of ideas, and respect the contributions of all. In turn, each employee shares in the responsibility of strengthening those around them. Description Graham is seeking a ML Engineer to join our Data Science team, a future-looking technical arm of Graham. We envision, design, prototype and implement the processes that feed Quantitative Research and Discretionary Trading teams as well as the broader firm. We are passionate about what we do and welcome every opportunity to prove it. The Data Science department straddles traditional Data Science and Engineering roles as well as the application of Machine Learning & AI. We work closely with Quant Researchers, Portfolio Managers, Operations and Execution to continuously improve upon our offering. Every day we work to transform our business through data, technology, and the insights we provide our stakeholders. At Graham, our systems feed live models around the clock, span billions of market data ticks, an ever-increasing corpus of news and other texts as well as a broad spectrum of financial and alternative data. Our objective is to support the research process by providing our stakeholders with all the right pieces to succeed in their jobs. Responsibilities You will be part of a growing team within Data Science. You will work alongside world-class talent to find innovative solutions to some of the most interesting problems on the buy-side. You will work closely with other areas such as Technology, Quantitative Research and Portfolio Manager groups as well as Risk and Operations to learn about problems they face with respect to data and ultimately develop cutting edge solutions. Your focus will be to dive deep into multiple data sets to understand relationships, develop time series, forecasting models, and support quant strategies, and provide new insights and leverage state-of-the-art machine learning and advanced statistical methods to produce the best data sources for the fund. Requirements Undergraduate or higher degree in Computer Science, Engineering, Operations Research, or other quantitative discipline 3+ years of hands-on experience with Machine Learning and Statistics on large, unstructured, data sets Experience writing production code for multi-client systems serving model results is a great plus Ability to clearly communicate research findings to technical and nontechnical stakeholders Full-stack experience with Python (preferred) or C++, Spark/Scala, SQL or other distributed data processing technologies as well as experience working comfortably building and deploying services and models in containerized environments Experience with scientific computing, statistics, optimization, time series, panel data, etc. Comfortable handling multiple projects to solve varied problems working with multiple teams Detail-oriented mindset Sense of ownership of his/her work, working well both independently as well as collaboratively This role requires commuting into our London office Mondays through Fridays.

Location: Dhahran, Saudi Arabia; Bengaluru, India Eram Talent is seeking a highly skilled Cloud Engineer / Architect to join our team in Saudi Arabia. The successful candidate will be responsible for designing, implementing, and managing cloud solutions that align with our clients' business objectives. You will play a critical role in architecting scalable, secure, and cost-effective cloud infrastructures, supporting cloud migration initiatives, and optimizing cloud environments across various platforms including AWS, Azure, and Google Cloud Platform (GCP). Key Responsibilities: Design, develop, and deploy cloud-based solutions aligned with organizational goals. Lead cloud migration projects including assessment, planning, and execution phases. Implement Infrastructure as Code (IaC) using tools such as Terraform, CloudFormation, or ARM templates. Manage and optimize cloud resources to ensure availability, scalability, and security. Collaborate with cross-functional teams to integrate on-premises and cloud environments. Monitor cloud performance and implement automation for continuous improvement. Provide guidance on cloud best practices, security compliance, and cost management. Requirements Bachelor’s degree in Computer Science, Information Technology, or related field. Advanced degree is a plus. 7+ years of experience in cloud engineering and architecture roles, preferably in multinational environments. Strong hands-on experience with at least two major cloud platforms such as AWS, Azure, or Google Cloud Platform. Proficiency with Infrastructure as Code (Terraform, CloudFormation, ARM templates). Experience with containerization technologies like Docker and orchestration tools such as Kubernetes. Strong understanding of networking, security frameworks, identity and access management (IAM), and compliance standards. Relevant cloud certifications such as AWS Solutions Architect, Microsoft Certified: Azure Solutions Architect Expert, or Google Professional Cloud Architect are highly desirable. Excellent problem-solving, communication, and teamwork skills.

Location: United States We're looking for a technical architect who can drive development velocity across a team of 10–15 engineers building cloud-native applications. This is a hybrid role: deep hands-on technical leadership combined with people management. What you'll do Lead the architecture, performance, and scalability of our Node.js-based platform running primarily on AWS. While our applications are deployed on AWS today, they are designed to be hyperscaler-agnostic, and you'll ensure architectural decisions preserve that portability across GCP, Azure, and other cloud providers. You'll own the technical direction of the platform, mentor senior engineers, and partner with product and engineering leadership to ship high-quality systems quickly. You'll also manage a team of 10–15 developers — setting goals, running 1:1s, growing careers, hiring, and removing blockers. You'll balance roadmap delivery with engineering health: code quality, system reliability, on-call hygiene, and developer experience. Requirements What we're looking for 8+ years of software engineering experience, with 3+ years leading engineering teams Deep expertise architecting distributed systems on AWS (compute, networking, data, IAM, observability) Strong Node.js background and a clear point of view on building maintainable services at scale Experience designing platform-agnostic systems that can run on any major hyperscaler Track record of improving performance, scalability, and deployment velocity in production environments Proven ability to grow engineers, hire well, and run a team that ships consistently Nice to have Experience with multi-cloud or cloud-portable deployments (Kubernetes, Terraform, containerization) Background scaling SaaS platforms or developer-facing products AWS certifications (Solutions Architect Professional, DevOps Engineer)

Location: Ukraine We're looking for a technical architect who can drive development velocity across a team of 10–15 engineers building cloud-native applications. This is a hybrid role: deep hands-on technical leadership combined with people management. What you'll do Lead the architecture, performance, and scalability of our Node.js-based platform running primarily on AWS. While our applications are deployed on AWS today, they are designed to be hyperscaler-agnostic, and you'll ensure architectural decisions preserve that portability across GCP, Azure, and other cloud providers. You'll own the technical direction of the platform, mentor senior engineers, and partner with product and engineering leadership to ship high-quality systems quickly. You'll also manage a team of 10–15 developers — setting goals, running 1:1s, growing careers, hiring, and removing blockers. You'll balance roadmap delivery with engineering health: code quality, system reliability, on-call hygiene, and developer experience. Requirements What we're looking for 8+ years of software engineering experience, with 3+ years leading engineering teams Deep expertise architecting distributed systems on AWS (compute, networking, data, IAM, observability) Strong Node.js background and a clear point of view on building maintainable services at scale Experience designing platform-agnostic systems that can run on any major hyperscaler Track record of improving performance, scalability, and deployment velocity in production environments Proven ability to grow engineers, hire well, and run a team that ships consistently Nice to have Experience with multi-cloud or cloud-portable deployments (Kubernetes, Terraform, containerization) Background scaling SaaS platforms or developer-facing products AWS certifications (Solutions Architect Professional, DevOps Engineer)

Location: United Kingdom We're looking for a technical architect who can drive development velocity across a team of 10–15 engineers building cloud-native applications. This is a hybrid role: deep hands-on technical leadership combined with people management. What you'll do Lead the architecture, performance, and scalability of our Node.js-based platform running primarily on AWS. While our applications are deployed on AWS today, they are designed to be hyperscaler-agnostic, and you'll ensure architectural decisions preserve that portability across GCP, Azure, and other cloud providers. You'll own the technical direction of the platform, mentor senior engineers, and partner with product and engineering leadership to ship high-quality systems quickly. You'll also manage a team of 10–15 developers — setting goals, running 1:1s, growing careers, hiring, and removing blockers. You'll balance roadmap delivery with engineering health: code quality, system reliability, on-call hygiene, and developer experience. Requirements What we're looking for 8+ years of software engineering experience, with 3+ years leading engineering teams Deep expertise architecting distributed systems on AWS (compute, networking, data, IAM, observability) Strong Node.js background and a clear point of view on building maintainable services at scale Experience designing platform-agnostic systems that can run on any major hyperscaler Track record of improving performance, scalability, and deployment velocity in production environments Proven ability to grow engineers, hire well, and run a team that ships consistently Nice to have Experience with multi-cloud or cloud-portable deployments (Kubernetes, Terraform, containerization) Background scaling SaaS platforms or developer-facing products AWS certifications (Solutions Architect Professional, DevOps Engineer)

Location: Serbia We're looking for a technical architect who can drive development velocity across a team of 10–15 engineers building cloud-native applications. This is a hybrid role: deep hands-on technical leadership combined with people management. What you'll do Lead the architecture, performance, and scalability of our Node.js-based platform running primarily on AWS. While our applications are deployed on AWS today, they are designed to be hyperscaler-agnostic, and you'll ensure architectural decisions preserve that portability across GCP, Azure, and other cloud providers. You'll own the technical direction of the platform, mentor senior engineers, and partner with product and engineering leadership to ship high-quality systems quickly. You'll also manage a team of 10–15 developers — setting goals, running 1:1s, growing careers, hiring, and removing blockers. You'll balance roadmap delivery with engineering health: code quality, system reliability, on-call hygiene, and developer experience. Requirements What we're looking for 8+ years of software engineering experience, with 3+ years leading engineering teams Deep expertise architecting distributed systems on AWS (compute, networking, data, IAM, observability) Strong Node.js background and a clear point of view on building maintainable services at scale Experience designing platform-agnostic systems that can run on any major hyperscaler Track record of improving performance, scalability, and deployment velocity in production environments Proven ability to grow engineers, hire well, and run a team that ships consistently Nice to have Experience with multi-cloud or cloud-portable deployments (Kubernetes, Terraform, containerization) Background scaling SaaS platforms or developer-facing products AWS certifications (Solutions Architect Professional, DevOps Engineer)

Location: Romania We're looking for a technical architect who can drive development velocity across a team of 10–15 engineers building cloud-native applications. This is a hybrid role: deep hands-on technical leadership combined with people management. What you'll do Lead the architecture, performance, and scalability of our Node.js-based platform running primarily on AWS. While our applications are deployed on AWS today, they are designed to be hyperscaler-agnostic, and you'll ensure architectural decisions preserve that portability across GCP, Azure, and other cloud providers. You'll own the technical direction of the platform, mentor senior engineers, and partner with product and engineering leadership to ship high-quality systems quickly. You'll also manage a team of 10–15 developers — setting goals, running 1:1s, growing careers, hiring, and removing blockers. You'll balance roadmap delivery with engineering health: code quality, system reliability, on-call hygiene, and developer experience. Requirements What we're looking for 8+ years of software engineering experience, with 3+ years leading engineering teams Deep expertise architecting distributed systems on AWS (compute, networking, data, IAM, observability) Strong Node.js background and a clear point of view on building maintainable services at scale Experience designing platform-agnostic systems that can run on any major hyperscaler Track record of improving performance, scalability, and deployment velocity in production environments Proven ability to grow engineers, hire well, and run a team that ships consistently Nice to have Experience with multi-cloud or cloud-portable deployments (Kubernetes, Terraform, containerization) Background scaling SaaS platforms or developer-facing products AWS certifications (Solutions Architect Professional, DevOps Engineer)

Location: Portugal We're looking for a technical architect who can drive development velocity across a team of 10–15 engineers building cloud-native applications. This is a hybrid role: deep hands-on technical leadership combined with people management. What you'll do Lead the architecture, performance, and scalability of our Node.js-based platform running primarily on AWS. While our applications are deployed on AWS today, they are designed to be hyperscaler-agnostic, and you'll ensure architectural decisions preserve that portability across GCP, Azure, and other cloud providers. You'll own the technical direction of the platform, mentor senior engineers, and partner with product and engineering leadership to ship high-quality systems quickly. You'll also manage a team of 10–15 developers — setting goals, running 1:1s, growing careers, hiring, and removing blockers. You'll balance roadmap delivery with engineering health: code quality, system reliability, on-call hygiene, and developer experience. Requirements What we're looking for 8+ years of software engineering experience, with 3+ years leading engineering teams Deep expertise architecting distributed systems on AWS (compute, networking, data, IAM, observability) Strong Node.js background and a clear point of view on building maintainable services at scale Experience designing platform-agnostic systems that can run on any major hyperscaler Track record of improving performance, scalability, and deployment velocity in production environments Proven ability to grow engineers, hire well, and run a team that ships consistently Nice to have Experience with multi-cloud or cloud-portable deployments (Kubernetes, Terraform, containerization) Background scaling SaaS platforms or developer-facing products AWS certifications (Solutions Architect Professional, DevOps Engineer)

Location: Poland We're looking for a technical architect who can drive development velocity across a team of 10–15 engineers building cloud-native applications. This is a hybrid role: deep hands-on technical leadership combined with people management. What you'll do Lead the architecture, performance, and scalability of our Node.js-based platform running primarily on AWS. While our applications are deployed on AWS today, they are designed to be hyperscaler-agnostic, and you'll ensure architectural decisions preserve that portability across GCP, Azure, and other cloud providers. You'll own the technical direction of the platform, mentor senior engineers, and partner with product and engineering leadership to ship high-quality systems quickly. You'll also manage a team of 10–15 developers — setting goals, running 1:1s, growing careers, hiring, and removing blockers. You'll balance roadmap delivery with engineering health: code quality, system reliability, on-call hygiene, and developer experience. Requirements What we're looking for 8+ years of software engineering experience, with 3+ years leading engineering teams Deep expertise architecting distributed systems on AWS (compute, networking, data, IAM, observability) Strong Node.js background and a clear point of view on building maintainable services at scale Experience designing platform-agnostic systems that can run on any major hyperscaler Track record of improving performance, scalability, and deployment velocity in production environments Proven ability to grow engineers, hire well, and run a team that ships consistently Nice to have Experience with multi-cloud or cloud-portable deployments (Kubernetes, Terraform, containerization) Background scaling SaaS platforms or developer-facing products AWS certifications (Solutions Architect Professional, DevOps Engineer)

Location: Netherlands We're looking for a technical architect who can drive development velocity across a team of 10–15 engineers building cloud-native applications. This is a hybrid role: deep hands-on technical leadership combined with people management. What you'll do Lead the architecture, performance, and scalability of our Node.js-based platform running primarily on AWS. While our applications are deployed on AWS today, they are designed to be hyperscaler-agnostic, and you'll ensure architectural decisions preserve that portability across GCP, Azure, and other cloud providers. You'll own the technical direction of the platform, mentor senior engineers, and partner with product and engineering leadership to ship high-quality systems quickly. You'll also manage a team of 10–15 developers — setting goals, running 1:1s, growing careers, hiring, and removing blockers. You'll balance roadmap delivery with engineering health: code quality, system reliability, on-call hygiene, and developer experience. Requirements What we're looking for 8+ years of software engineering experience, with 3+ years leading engineering teams Deep expertise architecting distributed systems on AWS (compute, networking, data, IAM, observability) Strong Node.js background and a clear point of view on building maintainable services at scale Experience designing platform-agnostic systems that can run on any major hyperscaler Track record of improving performance, scalability, and deployment velocity in production environments Proven ability to grow engineers, hire well, and run a team that ships consistently Nice to have Experience with multi-cloud or cloud-portable deployments (Kubernetes, Terraform, containerization) Background scaling SaaS platforms or developer-facing products AWS certifications (Solutions Architect Professional, DevOps Engineer)

Location: Czechia We're looking for a technical architect who can drive development velocity across a team of 10–15 engineers building cloud-native applications. This is a hybrid role: deep hands-on technical leadership combined with people management. What you'll do Lead the architecture, performance, and scalability of our Node.js-based platform running primarily on AWS. While our applications are deployed on AWS today, they are designed to be hyperscaler-agnostic, and you'll ensure architectural decisions preserve that portability across GCP, Azure, and other cloud providers. You'll own the technical direction of the platform, mentor senior engineers, and partner with product and engineering leadership to ship high-quality systems quickly. You'll also manage a team of 10–15 developers — setting goals, running 1:1s, growing careers, hiring, and removing blockers. You'll balance roadmap delivery with engineering health: code quality, system reliability, on-call hygiene, and developer experience. Requirements What we're looking for 8+ years of software engineering experience, with 3+ years leading engineering teams Deep expertise architecting distributed systems on AWS (compute, networking, data, IAM, observability) Strong Node.js background and a clear point of view on building maintainable services at scale Experience designing platform-agnostic systems that can run on any major hyperscaler Track record of improving performance, scalability, and deployment velocity in production environments Proven ability to grow engineers, hire well, and run a team that ships consistently Nice to have Experience with multi-cloud or cloud-portable deployments (Kubernetes, Terraform, containerization) Background scaling SaaS platforms or developer-facing products AWS certifications (Solutions Architect Professional, DevOps Engineer)

Location: MinIO Bay Area MinIO is the data and memory foundation for enterprise AI. Built for the speed, scale, and economics that AI and analytics demand, AIStor and MemKV unify every layer of the data stack, from agentic and inference context memory to tables and objects across core, edge, and cloud. Trusted by 77% of the Fortune 100, MinIO is redefining how AI factories, intelligent applications, and autonomous agents secure, persist, and unlock the full value of their data. We are seeking a highly technical, visionary, and customer-centric Field CTO to act as our premier technical ambassador. In this role, you will bridge the gap between MinIO’s engineering innovation and the strategic business needs of our largest, most complex enterprise customers. As a Field CTO, you will engage in peer-to-peer conversations with enterprise C-suites (CIOs, CTOs, CDOs) and lead architectural discussions with principal engineers. A deep, hands-on understanding of modern AI architectures (LLMs, RAG, deep learning pipelines) and modern analytics data systems (Iceberg, Delta Lake, Trino, Spark) is mandatory. You will not only evangelize MinIO’s capabilities but also act as a trusted advisor, helping organizations architect their data infrastructure to support next-generation workloads. This role is Bay Area, CA based What You Will Do Executive Advisory & Evangelism: Act as a trusted technical advisor to C-level executives at Fortune 500 companies. Articulate the strategic value of high-performance object storage in the context of AI readiness and data democratization. Architectural Leadership: Design and validate complex, large-scale architectures for enterprise customers. Guide them in integrating MinIO seamlessly into their AI/ML pipelines and modern data lakehouse ecosystems. Industry Thought Leadership: Represent MinIO at major industry conferences, webinars, and meetups. Write technical whitepapers, reference architectures, and blog posts focusing on the intersection of object storage, generative AI, and modern analytics. Pre-Sales & Post-Sales Strategic Support: Partner closely with enterprise sales and customer success teams on high-stakes deals. Unblock technical objections and provide strategic guidance during Proof of Concepts (PoCs) and large-scale deployments. Product Strategy Feedback Loop: Serve as the "voice of the customer" to MinIO’s product and engineering teams. Distill market trends, customer pain points, and emerging AI/Analytics patterns into actionable product requirements. Required Qualifications 10+ years of experience in technical leadership roles (e.g., Enterprise Architect, Chief Architect, VP of Engineering, or previous Field CTO). Demonstrated experience in a customer-facing or evangelist capacity, successfully presenting to both highly technical audiences and C-level business executives. AI & Machine Learning Architectures: Deep architectural understanding of Generative AI and Large Language Models (LLMs) , including Retrieval-Augmented Generation (RAG) workflows and vector databases (e.g., Milvus, Qdrant, Pinecone). Strong knowledge of AI/ML data pipelines and frameworks (PyTorch, TensorFlow, Ray, Hugging Face). Understanding of hardware bottlenecks in AI, specifically the challenge of feeding data to GPUs (GPU data starvation) and how high-throughput storage solves this. Modern Analytics & Data Systems: Expertise in Open Table Formats (Apache Iceberg, Apache Hudi, Delta Lake) and their integration with object storage. Proficiency with modern query engines and compute frameworks (Trino, Presto, Apache Spark, Flink, StarRocks). Solid grasp of the evolution from traditional data warehouses to modern Data Lakehouse architectures. Infrastructure & Cloud-Native Tech: Strong command of Kubernetes, containerization, and cloud-native orchestration. Deep understanding of the AWS S3 API, RESTful APIs, and distributed systems design. What We Offer Health Care Plan (Medical, Dental & Vision) 401K with 3% Contribution Pre-IPO Stock Options At least 12 Public Holidays Flexible Time Off Equal Opportunity Policy (EEO) MinIO is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.