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Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Senior Enterprise Systems Developer - Order-to-Cash & Record-to-Report (O2C/R2R) Location: Austin, TX About the Role At Cloudflare, we are on a mission to help build a better Internet. To achieve this, our internal operations must run seamlessly, securely, and efficiently. We are seeking a highly skilled, forward-thinking Senior Enterprise Systems Developer to join our Enterprise Systems team with a dedicated focus on our core financial operations: the Order-to-Cash (O2C), Revenue Management, and Record-to-Report (R2R) ecosystems. In this role, you will be the primary technical owner for the applications that drive our billing, collections, revenue recognition, general ledger management, and financial consolidations. Your core tech stack will include NetSuite, Zuora RevPro, and Oracle Fusion Cloud (Financials - O2C and R2R modules) . Your primary customers will be the Revenue Accounting, Billing, Corporate Accounting, and broader Finance organizations, and you will partner closely with them to optimize how Cloudflare transacts, recognizes revenue, and reports financials at scale. If you are a builder at heart who enjoys solving complex financial system workflows, automating the month-end close, leveraging AI for financial insights, and designing seamless enterprise integrations from Quote-to-Cash through to the General Ledger, this role is for you. What You'll Do Application Administration & Environment Management Serve as the primary subject-matter expert and developer for Cloudflare’s O2C and R2R technology stack (NetSuite, Zuora RevPro, Oracle Fusion). Manage user provisioning, complex role-based access control (RBAC), and security settings specific to billing approvals, journal entry (JE) limits, general ledger access, and revenue posting. Manage application environments (e.g., Production vs. Sandbox/Release Preview), ensuring alignment across all environments from both a data and release perspective to support safe testing of financial changes. Monitor ongoing application performance and reliability, managing incident workflows to ensure ticket SLAs for the Finance organization are consistently met, especially during critical month-end and quarter-end close periods. Provide Tier 3 support and end-user enablement, serving as the ultimate technical escalation point for financial system issues. System Development, Integrations & AI Initiatives Act as the Subject-Matter Expert for integrations across the QTC, O2C, and R2R lifecycles. Ensure the seamless flow of data (e.g., syncing closed-won opportunities to NetSuite/Oracle, passing billing data to Zuora RevPro, and ensuring subledger transactions map flawlessly to the GL). Design, build, and deploy custom system enhancements, automated billing schedules, journal entry automations, revenue allocation scripts (e.g., SuiteScript), and API integrations between our platforms. Lead the evaluation, implementation, and governance of native AI features within the financial stack (e.g., AI-driven anomaly detection in journal entries and revenue schedules, automated cash application matching, or intelligent account reconciliations) to accelerate financial operations. Proactively monitor vendors' quarterly updates and product roadmaps. Lead impact assessments, manage versioning/upgrades, and educate Finance stakeholders on new functionality and AI opportunities. Process Management & Workflow Design Partner directly with the Chief Accounting Officer's organization, Revenue Accounting, Corporate Accounting, and Billing teams to deeply understand their operational processes and translate business requirements into sophisticated system solutions. Own the design, configuration, and delivery of complex workflows (e.g., dynamic invoice routing, automated dunning processes, intercompany eliminations, and month-end close orchestrations) to eliminate manual bottlenecks. Build and maintain scalable system architectures that support complex, high-volume recurring billing, usage-based consumption models, and multi-entity global consolidations. Security, Compliance, & Data Governance Partner closely with Internal Audit, Risk, and Compliance teams to maintain robust IT General Controls (ITGC) and strict enterprise-wide data governance for financial and customer data. Spearhead and execute Quarterly Access Reviews (UAR) for all O2C and R2R applications, ensuring accurate access levels and enforcing strict Segregation of Duties (SoD) across billing, revenue, and general ledger operations. Ensure newly implemented AI features, custom scripts, and data-sharing protocols strictly adhere to SOX compliance, maintain data integrity, and ensure audit readiness for all financial records and ASC 606 reporting. Maintain comprehensive system architecture documentation, process maps, and business continuity/disaster recovery plans for critical financial systems. What We're Looking For Minimum Experience: Bachelor’s degree in MIS, Computer Science, Finance, Accounting, or a related field. 5+ years of hands-on experience in enterprise systems development and administration, with a strong focus on Financial ERPs. Platform Expertise: Deep, proven experience configuring, administrating, and developing in applications like NetSuite, Zuora RevPro, and Oracle Fusion Cloud (specifically O2C and R2R/GL modules) . Integration & Development Skills: Strong understanding of system integration logic (REST/SOAP APIs) and data flows across Quote-to-Cash, Order-to-Cash, and Record-to-Report ecosystems. Experience with scripting languages native to the platforms (e.g., NetSuite SuiteScript) is highly preferred. AI & Innovation Acumen: Familiarity with deploying, testing, or administering AI and machine learning features within SaaS platforms, specifically tailored to financial operations, journal anomaly detection, or cash application. Audit & Compliance Acumen: Extensive experience working in a strict SOX-compliant public company environment. Highly comfortable managing quarterly access reviews, defining SoD for accounting operations, and defending system controls to audit teams. Process-Oriented: A deep understanding of core Order-to-Cash (O2C), Revenue Recognition (ASC 606), and Record-to-Report (R2R) business processes, including global consolidations and the month-end close cycle. Communication: Excellent communication skills, with a proven ability to partner effectively with Finance/Accounting leadership and bridge the gap between technical architecture and financial outcomes. What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Senior Enterprise Systems Developer - Procurement Systems Location: Austin, TX About the Role At Cloudflare, we are on a mission to help build a better Internet. To achieve this, our internal operations must run seamlessly, securely, and efficiently. We are seeking a highly skilled, forward-thinking Senior Enterprise Systems Developer to join our Enterprise Systems team with a dedicated focus on our Procurement and Spend Management ecosystem. In this role, you will be the primary technical owner for our Procure-to-Pay (P2P) and Contract Lifecycle Management (CLM) applications. Your core tech stack will include Zip (Intake/Orchestration), Ironclad, Oracle Fusion Cloud (Procurement), and managing the transition out of Coupa . Your primary customer will be the Procurement Organization, and you will partner closely with them to optimize the way Cloudflare sources, contracts, and purchases at scale. If you are a builder at heart who enjoys solving complex supply chain and procurement workflow challenges, leveraging AI and automation, and designing seamless enterprise integrations, this role is for you. What You'll Do Application Administration & Environment Management Serve as the primary subject-matter expert and developer for Cloudflare’s Procurement technology stack (Zip, Ironclad, Oracle Procurement, Coupa). Manage user provisioning, complex role-based access control (RBAC), and security settings specific to purchasing limits and contract approvals. Manage application environments (e.g., Production vs. Sandbox/Demo), ensuring alignment across all environments from both a data and release perspective. Monitor ongoing application performance and reliability, managing incident workflows to ensure ticket SLAs for the Procurement organization are consistently met. Provide Tier 3 support and end-user enablement, serving as the ultimate technical escalation point for procurement system issues. System Development, Integrations & AI Initiatives Act as the Subject-Matter Expert for integrations across the procurement lifecycle. Ensure the seamless flow of data (e.g., syncing vendor intake data from Zip, passing contract metadata from Ironclad to Oracle Fusion, and managing purchase order syncs). Design, build, and deploy custom system enhancements, automated workflows, template generation, and API integrations between our procurement platforms and core ERP. Lead the evaluation, implementation, and governance of native AI features within the P2P stack (e.g., Ironclad AI for contract analysis and redlining, Zip AI for vendor onboarding/intake routing) to accelerate procurement cycles. Proactively monitor vendors' quarterly updates and product roadmaps (especially for Zip and Ironclad). Lead impact assessments, manage versioning/upgrades, and educate Procurement stakeholders on new functionality and AI opportunities. Process Management & Workflow Design Partner directly with the Procurement organization, Legal, and Finance to deeply understand their operational processes and translate business requirements into sophisticated system solutions. Own the design, configuration, and delivery of complex workflows (e.g., global Procure-to-Pay rules, dynamic intake routing, and automated contract approvals) to eliminate manual bottlenecks. Support the strategic migration and sun-setting of legacy systems (e.g., Coupa), ensuring zero disruption to business continuity during the transition to our modernized stack. Security, Compliance, & Data Governance Partner closely with Internal Audit, Risk, and Compliance teams to maintain robust IT General Controls (ITGC) and strict enterprise-wide data governance for spend and vendor data. Spearhead and execute Quarterly Access Reviews (UAR) for all Procurement and CLM applications, ensuring accurate access levels and enforcing strict Segregation of Duties (SoD) within the purchasing cycle. Ensure newly implemented AI features and data-sharing protocols strictly adhere to SOX compliance, vendor risk policies, and maintain audit readiness for all financial and contract records. Maintain comprehensive system architecture documentation, process maps, and business continuity/disaster recovery plans for critical procurement systems. What We're Looking For Experience: Bachelor’s degree in MIS, Computer Science, Supply Chain, or a related field. 5-7+ years of hands-on experience in enterprise systems development and administration, with a strong focus on Procurement/P2P systems. Platform Expertise: Deep, proven experience configuring and developing in Zip, Ironclad, Oracle Fusion Cloud (Procurement modules), and Coupa . Integration & Development Skills: Strong understanding of system integration logic (REST/SOAP APIs) and data flows across intake, CLM, and ERP ecosystems. Experience with scripting and building complex conditional workflows. AI & Innovation Acumen: Familiarity with deploying, testing, or administering AI and machine learning features within SaaS platforms, specifically tailored to contract lifecycle and spend management. Audit & Compliance Acumen: Extensive experience working in a SOX-compliant environment. Highly comfortable managing quarterly access reviews, defining SoD for procurement operations, and defending system controls to audit teams. Process-Oriented: A deep understanding of core Procure-to-Pay (P2P), Source-to-Pay (S2P), and Contract Lifecycle Management (CLM) business processes. Communication: Excellent communication skills, with a proven ability to partner effectively with Procurement leadership and bridge the gap between technical architecture and business outcomes. What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: Remote; San Francisco; New York Workplace: Remote Patreon is a media and community platform where over 300,000 creators give their biggest fans access to exclusive work and experiences. We offer creators a variety of ways to engage with their fans and build a lasting business including: paid memberships, free memberships, community chats, live video, and selling to fans directly with one-time purchases. Ultimately our goal is simple: fund the creative class. And we're leaders in that space, with: - $10 billion+ generated by creators since Patreon's inception - 100 million+ free memberships for fans who may not be ready to pay just yet, and - 25 million+ paid memberships on Patreon today. We're continuing to invest heavily in building the best creator platform with the best team in the creator economy and are looking for a Security Engineer to support our mission. This role is Fully Remote (US only), or can be based in New York or San Francisco (where it is open to those who are able to be in-office 3 days per week on a hybrid work model.) About the Team Patreon’s security team works to protect Patreon creators and their fans. The team deals with all facets of Patreon’s security, including application security, infrastructure security, and internal/corporate security. We’re a small but effective team. We write code to solve security problems and work closely with our partners across the engineering organization. We also understand the importance of balancing security risks against business needs. We strive for honest and effective communication and focus on pragmatically reducing risk over checking boxes. The security team is part of Patreon’s Risk Engineering org, which also includes our Safety Engineering and Identity and Access teams. Collectively, the risk org tackles a range of problems including content moderation, internal tooling, identity verification, access control, and account security. About the Role In this role, you’ll be a member of our Security team. You’ll split your time between contributing to security projects and responding to security investigations, vulnerabilities, or questions. The work spans application security, infrastructure security, and internal/corporate security. It includes both proactive and reactive security work. You’ll be part of an on-call rotation and help respond to security incidents and investigations. You’ll write code – both to support security work and to improve the security of the Patreon platform. You’ll work closely with other members of the security team, the wider Risk engineering org, and cross functional partners in engineering, legal, and IT. Your work will help reduce known risks and will protect the security, privacy, and trust of Patreon creators and their fans. What you’ll need: - You have two or more years of experience reducing security risks in the application, infrastructure, or corporate security spaces. You can create a threat model and to explain why a given risk matters and what we might do to reduce it. - You have deeper knowledge (three or more years) in at least one security or security-adjacent domain (infrastructure security, application security, cloud security, corporate/IT security, cryptography, privacy, etc.) - You can develop software (Python, Rust, Golang, or a similar language). You have experience working in a modern software development environment (git, CI/CD, LLM coding tools, etc.) - You have experience using AI tools (LLMs, ML models, etc) to identify and address security issues (software vulnerabilities, detection and response, etc.) - You’re energized by fast iteration: shipping MVPs, testing hypotheses, and evolving products based on what creators and fans respond to. - You take pride in creating elegant solutions to messy, real-world problems and balancing pragmatic trade-offs between security risks and business needs. - You believe in Patreon’s mission: giving creators control over their work and building communities that feel good to be in. - Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related field, or the equivalent Bonus if you have: - Experience working on large scale Internet platforms that allow users to upload content. - Past contributions to large scale, production code bases. - Experience responding to security incidents, investigating incident impact, and building out incident mitigations. We hire talented and passionate people from different backgrounds because workplace diversity and inclusion is critical to our ability to serve creators worldwide. If you’re excited about a role but your past experience doesn’t match with every bullet point outlined above, we strongly encourage you to apply anyway. If you’re a creator at heart, are energized by our mission, and share our company values, we’d love to hear from you. About Patreon Patreon powers creators to do what they love and get paid by the people who love what they do. Our team is passionate about making this mission and our core values come to life every day in our work. Through this work, our Patronauts: - Put Creators First | They’re the reason we’re here. When creators win, we win. - Build with Craft | We sign our name to every deliverable, just like the creators we serve. - Make it Happen | We don’t quit. We learn and deliver. - Win Together | We grow as individuals. We win as a team. Patreon is proud to be an equal opportunity employer. We provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, veteran status, or any other protected class. If you need a reasonable accommodation during the interview process, please let us know via email at accommodations@patreon. Patreon offers a competitive benefits package including and not limited to salary, equity plans, healthcare, flexible time off, company holidays and recharge days, commuter benefits, lifestyle stipends, learning and development stipends, patronage, parental leave, and 401k plan with matching. Patreon operates under a hybrid work model, where employees based in office locations are expected to come into the office three days per week, excluding sick time and paid leave. The goal of this policy is to be intentional about the in-person time we spend together to strengthen the feeling of community at Patreon. Candidates hired into remote-eligible roles are not expected to meet the same requirements. At Patreon, we believe in fair and transparent pay. In compliance with New York and California pay transparency laws, we are sharing the expected salary range for this role. The posted salary range is dependent on the location and the level. This range may encompass multiple levels within the role’s job family. The final offer will be based on candidate’s experience, skills, competencies, and geographic location, aligning with the appropriate job level within Patreon’s leveling framework. For remote employees located outside CA and NY, salary may vary based on location and local market conditions. Patreon reserves the right to modify or update compensation and benefits at any time.

Location: Portugal; Brazil SUMMARY: You will join a cross-functional squad responsible for building and maintaining high-scale, customer-facing services. The role involves contributing to new product features, evolving system architecture, improving code quality, and ensuring operational reliability in a modern, cloud-based environment. The ideal engineer thrives in a collaborative, autonomous culture that values experimentation, continuous learning, and shared ownership. This position plays a key part in shaping technical decisions, supporting platform evolution, and delivering impactful solutions at scale. WHAT WILL YOU BE DOING: You will be joining our engineering team and will be a valued member working closely in a collaborative, autonomous, cross-functional team. You will help with the following: Feature Delivery & Collaboration Participation in the design and delivery of new product features in collaboration with product, design, and engineering teams. Exploration of feasibility options and contribution to customer-focused engineering decisions. Commitment to clear goals, delivery expectations, and shared team objectives. Clear and responsible communication within the squad to support alignment and transparency. Communicating your needs clearly and responsibly. Architecture & Technical Decision-Making Contribution to system architecture discussions and evolution of technical design within the squad. Application of OOP, SOLID principles, and clean coding practices to build maintainable Ruby services. Participation in establishing engineering patterns, standards, and long-term architectural improvements. Support in building highly available, resilient, and scalable systems. Code Quality & Testing Development of high-quality Ruby code that is maintainable, readable, and structured for long-term sustainability. Adoption of strong testing practices using RSpec or Minitest to ensure robust test coverage. Improvement of existing systems to enhance reliability, modularity, and testability. Contribution to a culture of automated testing and continuous quality improvements. Operational Excellence Support in building and maintaining services operating under significant scale and traffic. Participation in monitoring, troubleshooting, and enhancing system resilience. Contribution to observability practices, operational readiness, and continuous improvement of production systems. Engagement in deployments and incident support as part of the team’s shared operational ownership. WHAT WE ARE LOOKING FOR: Core Technical Skills Strong hands-on experience with Ruby for building production applications. Ability to deliver maintainable, well-structured code aligned with OOP and SOLID principles. Proficiency in automated testing using RSpec or Minitest. Experience working with Git and collaborative development workflows. Backend Engineering Fundamentals Experience building scalable, API-driven backend services. Understanding of concurrency, asynchronous processing, and distributed system interactions. Experience with PostgreSQL, Redis, and MongoDB for data persistence and caching. Ability to design and troubleshoot systems operating under heavy load and high availability requirements. Operational & Performance Awareness Familiarity with diagnosing performance bottlenecks and implementing optimisations. Strong understanding of observability principles, including monitoring, logging, and system health analysis. Experience supporting and iterating on production systems. Communication & Collaboration Strong English communication skills, both written and verbal. Ability to contribute positively to team collaboration, solution discussions, and knowledge sharing. AWESOME BUT NOT REQUIRED: Experience with containers and orchestration (Docker, Kubernetes). Familiarity with Rack, Sinatra, or Rails frameworks. Exposure to EventMachine or event-driven architectures. Experience with ELK, Datadog, or similar observability stacks. Knowledge of AWS services such as ECR, EC2, S3, and RDS. Exposure to CI/CD pipelines, cloud-native practices, or infrastructure tooling. WHAT’S IN IT FOR YOU? Be part of our collegial environment where responsibility and authority are shared equally amongst colleagues, and help create our company culture A culture in which we don’t criticise failure but ensure we learn from our mistakes An Agile environment where your ideas are welcome The possibility to grow and experience different projects Fully remote Ongoing Training & Mentoring The possibility of travelling - ATTENTION!  THIS POSITION IS FOR  PORTUGAL OR BRAZIL-BASED ONLY

Location: São Paulo, Brazil About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . ABOUT THE ROLE Turing is the world's leading research accelerator for frontier AI labs. The STEM Horizontal team produces the high-signal STEM data those labs train on, and this role builds the machinery behind it: the task-authoring tools, data pipelines, evaluation harnesses, sandboxed execution environments, and agentic workflows our researchers and domain experts work inside every day. This sits at the seam between engineering and research. You'll own production systems end-to-end, and you'll be the person a researcher pulls in to ask why an eval is producing misleading numbers. Correctness and reproducibility are the product: a subtle bug here doesn't crash anything, it quietly poisons a training run and costs weeks. If you want to build systems that visibly shape how frontier models learn to reason about code and science, this is the seat. WHAT YOU'LL DO Own services end-to-end: design, implementation, rollout, and production operation. Build backend services and the data pipelines that generate, validate, score, and version datasets, reproducible from a commit and a config. Ship data-dense internal interfaces: virtualised tables, server-side filtering, review and annotation UIs that stay fast at tens of thousands of rows. Build and operate agent harnesses , multi-step loops with tool use, retries, and structured output, running against real repos and test suites. Build sandboxed execution environments where model-generated code runs safely and deterministically at volume, and stand up the RL environments and eval harnesses on top. Trace and debug agent runs end-to-end: where the loop stalled, which tool call failed, why the grader disagreed with the human. Own infrastructure as code and CI/CD; debug production issues across the stack and drive the reliability work that follows. Raise the bar through code review, design docs, and innovation, partnering with researchers and quality owners on what “good” means. TECH STACK Backend Python · FastAPI · Django / Django Ninja · PostgreSQL · MongoDB · REST + OpenAPI Frontend TypeScript · React · Next.js · virtualised tables, server-side filtering Platform Linux · Docker · Terraform · CI/CD · AWS or GCP WHAT YOU NEED 6+ years building and operating production software, ideally at product companies with real scale. Deep Python with production FastAPI and/or Django , ORM performance, migrations, async patterns. Strong PostgreSQL (schema design, query optimisation, indexing) and NoSQL. Frontend production with TypeScript / React / Next.js . Fluent on Linux and Docker ; Terraform or comparable IaC on AWS or GCP , and ownership of the CI/CD that ships it. Daily use of LLM coding tools (Claude Code, Cursor, Copilot) as part of how you actually ship, with the judgement to review their output critically and know where they break down. We are an AI-forward team; this is a must-have. You've built something on top of LLM APIs that other people depended on, an agent, a pipeline, an eval, and you know where it was fragile. Comfort with non-deterministic systems : you can tell a real regression from noise, and you reach for a controlled experiment over a hunch. Advanced Git and real testing discipline, unit, integration, and the negative and edge cases people skip. Clear written communication; comfortable working without hand-holding, and comfortable saying when a spec is wrong. NICE TO HAVE Internal tools or developer platforms used daily by a technical team. Agent frameworks and protocols, LangGraph, MCP, OpenAI/Anthropic tool use. Sandboxing and untrusted code execution: gVisor, Firecracker, seccomp. Workflow orchestration (Temporal, Airflow, Prefect, Dagster) and Kubernetes beyond managed defaults. LLM coding benchmarks (SWE-bench, Terminal-Bench), eval frameworks, or exposure to RLHF / RLVR. PREFERRED BACKGROUND Bachelor's or Master's degree with 6+ years experience in Computer Science, Software Engineering, Data Science, Machine Learning, AI, or a programming-heavy IT field. We weight demonstrated work outcomes most heavily, a strong track record without a matching degree is fine. Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .

Location: San Francisco, California; New York, New York Workplace: Hybrid WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE Millions of people rely on Notion to do their most important work, and protecting that trust is foundational to everything we build. We’re looking for a hands-on Detection Engineer to build and operate the systems and workflows we use to detect and respond to attacks across Notion’s cloud-native environment. You’ll ship high-signal detections, improve the platform that powers them, participate in incident response, and help shape how detection and response engineering scales at Notion. You’ll work closely with Engineering, Corporate Security, and Infrastructure, with broad latitude to identify gaps, prioritize investments, and build what’s needed next. We view detection and response as a software engineering discipline: detections are code, platforms are products, and measurement matters WHAT YOU'LL ACHIEVE - Build and tune high-signal detections across cloud, identity, endpoint, and SaaS environments, with review and mentorship from senior teammates as you ramp up. - Contribute to the detection platform, including rule lifecycle management, tuning, measurement, and rollout safety. - Build tooling and automation that speed up triage, enrichment, investigation, and detection authoring, including LLM-based workflows where useful. - Turn threat intelligence and adversary TTPs into detections, telemetry requirements, and response improvements. - Take part in investigations, incident response, and postmortems, and help turn what we learn into lasting fixes. - Help define and track metrics such as coverage, MTTD, and alert quality. - Join a shared on-call rotation for incident response. SKILLS YOU'LL NEED TO BRING - We're hiring across a range of experience levels. If you have some of these skills but not all, we'd still like to hear from you. - 3+ years of experience in detection engineering, security operations, incident response, threat hunting, or a closely related security or software engineering role. - Have written or tuned detections that run in production, and care about signal quality and cutting noise. - Working knowledge of at least one detection or query language (Sigma, KQL, SPL, YARA-L, EQL, or Panther), or strong SQL or Python skills and the drive to learn one quickly. - An understanding of how attackers operate (for example, MITRE ATT&CK), and the ability to use it to decide what to detect. - Hands-on experience with AWS, GCP, or Azure, ideally including identity and access logs. - Have used SIEM, EDR, or SOAR tools in any size of environment. - Write clearly in runbooks, design docs, and incident notes, and can own well-scoped projects end to end. NICE TO HAVE - Have led purple team, blue team, or adversary emulation exercises that improved detections or telemetry. - Experience running SIEM, EDR, or SOAR platforms at large scale. - Experience building or maintaining detection-as-code workflows (version control, CI, and tests for detections). - Experience applying LLMs or agent-style tooling to security workflows. - Experience securing AI-enabled systems or endpoint tooling. - Kubernetes or container detection experience. - Background in threat intelligence, malware analysis, or digital forensics. - Contributions to the security community through research, tooling, CTFs, or talks. - Experience at a high-growth startup or AI company. Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated base salary range for this role is $185,000 - $280,000 per year.   By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550 and and NYLL 144 https://notion.notion.site/Ashby-AI-Bias-Audit-2b0efdeead05803bbbfae159ec86c528.   #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: United States Our client is hiring a SAR Payload Systems Engineer to support current and next-generation Earth-observation satellites. You will own the definition, design, integration, verification and sustainment of SAR payload subsystems across several satellite programs and act as the technical interface with customers, primes and internal teams. Fully remote from the US is now accepted. What you will do • Gather and trace payload requirements from mission level down to subsystem level • Design the SAR payload architecture: antenna arrays and RF front-end Tx/Rx, digital beamforming, processing chain and digital electronics, power, thermal, mass • Lead conceptual, preliminary and detailed design with trade studies and performance budgets; produce ICDs; specify hardware and review schematics and layouts • Performance simulations for tolerance budgeting and image quality; support SAR and moving-target-indication algorithm development; payload DC power budget; FMECA, fault tree, FDIR, reliability • Build the payload verification master plan (unit, subsystem, payload, environmental and EMC tests); lead test automation and reporting • Support mission operations: payload health monitoring, on-orbit anomaly root cause, telemetry analysis, operator training What you need • Degree in Electrical Engineering, Computer Science or Physics with 5+ years supporting remote sensing system development, integration and test on LEO/MEO missions • Strong technical writing (requirements, ICDs, test procedures, risk reports) and presentation skills • Hands-on systems integration and test experience; Confluence and JIRA • Works well with little supervision; strong written and spoken English (French an asset) • US citizen or permanent resident

Location: Dublin, Ireland Workplace: Hybrid WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE Millions of people rely on Notion to do their most important work, and protecting that trust is foundational to everything we build. We’re looking for a hands-on Detection Engineer to build and operate the systems and workflows we use to detect and respond to attacks across Notion’s cloud-native environment. You’ll ship high-signal detections, improve the platform that powers them, participate in incident response, and help shape how detection and response engineering scales at Notion. You’ll work closely with Engineering, Corporate Security, and Infrastructure, with broad latitude to identify gaps, prioritize investments, and build what’s needed next. We view detection and response as a software engineering discipline: detections are code, platforms are products, and measurement matters WHAT YOU'LL ACHIEVE - Build and tune high-signal detections across cloud, identity, endpoint, and SaaS environments, with review and mentorship from senior teammates as you ramp up. - Contribute to the detection platform, including rule lifecycle management, tuning, measurement, and rollout safety. - Build tooling and automation that speed up triage, enrichment, investigation, and detection authoring, including LLM-based workflows where useful. - Turn threat intelligence and adversary TTPs into detections, telemetry requirements, and response improvements. - Take part in investigations, incident response, and postmortems, and help turn what we learn into lasting fixes. - Help define and track metrics such as coverage, MTTD, and alert quality. - Join a shared on-call rotation for incident response. SKILLS YOU'LL NEED TO BRING - We're hiring across a range of experience levels. If you have some of these skills but not all, we'd still like to hear from you. - 3+ years of experience in detection engineering, security operations, incident response, threat hunting, or a closely related security or software engineering role. - Have written or tuned detections that run in production, and care about signal quality and cutting noise. - Working knowledge of at least one detection or query language (Sigma, KQL, SPL, YARA-L, EQL, or Panther), or strong SQL or Python skills and the drive to learn one quickly. - An understanding of how attackers operate (for example, MITRE ATT&CK), and the ability to use it to decide what to detect. - Hands-on experience with AWS, GCP, or Azure, ideally including identity and access logs. - Have used SIEM, EDR, or SOAR tools in any size of environment. - Write clearly in runbooks, design docs, and incident notes, and can own well-scoped projects end to end. NICE TO HAVE - Have led purple team, blue team, or adversary emulation exercises that improved detections or telemetry. - Experience running SIEM, EDR, or SOAR platforms at large scale. - Experience building or maintaining detection-as-code workflows (version control, CI, and tests for detections). - Experience applying LLMs or agent-style tooling to security workflows. - Experience securing AI-enabled systems or endpoint tooling. - Kubernetes or container detection experience. - Background in threat intelligence, malware analysis, or digital forensics. - Contributions to the security community through research, tooling, CTFs, or talks. - Experience at a high-growth startup or AI company. Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role's scope and complexity, and the candidate's experience and expertise, and may vary from the range provided below. The estimated base salary range for this role is €75,000–€142,000 per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550?pvs=74. #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: Paris; Zurich; Warsaw; London ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. ABOUT THE RESEARCH ENGINEERING TEAM   The team spans Platform (shared infra & clean code) and Embedded (inside research squads). Engineers can move along the research↔production spectrum as needs or interests evolve.   As a Research Engineer – ML track, you’ll build and optimise the large-scale learning systems that power our open-weight models. Working hand-in-hand with Research Scientists, you’ll either join:   - Platform RE Team: Enhance the shared training framework, data pipelines and cluster tooling used by every team; or - Embedded RE Team: Sit inside a research squad (Alignment, Pre-training, Multimodal, Safety …) and turn fresh ideas into repeatable, scalable code.     What You Will Do   • Accelerate researchers by taking on the heavy parts of large-scale ML pipelines and building robust tools. • Interface cutting-edge research with production: integrate checkpoints, streamline evaluation, and expose APIs. • Design, implement and benchmark ML algorithms; write clear, efficient code in Python. • Deliver prototypes that become production-grade components for Vibe and our enterprise API.   What We're Looking For   • Master’s or PhD in Computer Science (or equivalent proven track record). • 4 + years working on large-scale ML codebases. • Hands-on with PyTorch, JAX or TensorFlow; comfortable with distributed training (DeepSpeed / FSDP / SLURM / K8s). • Experience in deep learning, NLP or LLMs; bonus for CUDA or data-pipeline chops. • Strong software-design instincts: testing, code review, CI/CD. • Self-starter, low-ego, collaborative.   WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: New York or Houston DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. Senior Quantitative Power Strategist DRW is seeking a Senior Quantitative Strategist to join the US Power and Natural Gas trading team. This individual will focus on the valuation, structuring, bidding, and risk management of energy transactions, in particular full-requirements and load-following opportunities across US electricity markets. The role will work closely with traders, developers, and other quantitative researchers to build pricing and risk frameworks for complex load obligations. The ideal candidate combines deep knowledge of physical power markets with strong quantitative modeling skills and sound commercial judgment. Responsibilities Develop and maintain quantitative models for US power load auctions, full-requirements transactions, and load-following products. Value complex load obligations by modeling demand, weather sensitivity, hourly shape, customer migration, basis, congestion, losses, capacity, ancillary services, renewable obligations, and other embedded risks. Produce bid recommendations and scenario analyses for utility, municipal, cooperative, and commercial and industrial load opportunities. Design hedge strategies across power, natural gas, capacity, transmission, and environmental products. Work alongside traders to translate market views and portfolio constraints into executable bidding and risk-management strategies. Develop tools for portfolio valuation, position reporting, stress testing, and ongoing performance attribution. Research structural changes in organized power markets and evaluate their implications for load pricing and hedging. Improve market data, forecasting, optimization, and analytical infrastructure in partnership with software engineers and data specialists. Communicate model assumptions, limitations, and commercial implications clearly to trading and senior leadership. Qualifications At least five years of relevant experience in US power trading, quantitative research, structuring, or portfolio management. Direct experience pricing or managing load auctions, full-requirements contracts, or load-following portfolios. Strong understanding of US wholesale power markets, including energy, congestion, capacity, ancillary services, transmission, and environmental products. Solid Experience in Python or a similar language Strong foundation in statistics, probability, optimization, time-series analysis, and Monte Carlo simulation. Bachelor’s, master’s, or doctoral degree in a quantitative discipline such as mathematics, statistics, engineering, computer science, physics, economics, or financial engineering. Strong commercial judgment, intellectual curiosity, and the ability to work effectively in a fast-paced trading environment. Clear written and verbal communication skills. The annual base salary range for this position is $150,000 to $250,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . #LI-JW1

Location: London Build with us Since 2004, we've had one clear goal: to make payments and money management effortless for every business in Europe. Today, more than 250,000 companies use Mollie to get paid, manage money and grow, with products designed to be simple, scalable, and dependable. With 950+ Mollies across 14+ locations, we care deeply about autonomy and craft. So we work in small teams, with real ownership, and we trust you to make the right decisions. We're building for the long term, so we provide the tools you need, processes you can rely on, and a balanced work environment to help you do work you're proud of. Sound like your kind of place? Let's build together. Your impact Treasury is where Mollie's balance sheet takes shape, this team makes sure that our balance sheet is safe, well-funded and resilient. You, as Treasury Manager, will be one of the first people building the Asset & Liability Management (ALM) function for Mollie. This is a genuine 0-to-1 role. There is no legacy ALM framework to maintain, no existing ILAAP to update, no established models to inherit. You'll help design and build the liquidity risk framework, the interest rate and credit spread risk approach, and the funding and balance sheet strategy. Your work will feed directly into Mollie’s licence application and, once authorised, into how Mollie actually manages its liquidity and funding risks. You'll work closely with our product teams, Finance, and Risk Domains and your analysis will be seen by senior leadership and, eventually, by our regulator. As Mollie moves from application to operation, your scope will grow from building the framework to running it. What you'll ship - Build and own the core building blocks of Mollie liquidity risk framework, including the ILAAP, LCR/NSFR monitoring, and liquidity stress testing. - Develop Mollie’s approach to interest rate risk and credit spread risk in the banking book (IRRBB/CSRBB), from risk identification through to models, limits and hedging strategy. - Contribute to the design of Mollie’s funding and balance sheet strategy, including deposit mix, funding diversification and balance sheet construction. - Build the Contingency Funding Plan and related early-warning indicators, so Mollie knows exactly what to do under stress before it needs to. - Produce clear, well-documented policies, methodologies and models that will stand up to scrutiny from DNB/ECB, external auditors, and Mollie's own second and third lines of defense. - Support senior leadership (ALCO or its future equivalent) with the analysis, reporting and recommendations it needs to make sound balance sheet decisions. - Partner with Risk, Finance and our external advisors, to make sure Treasury's frameworks are consistent with Mollie’s wider risk appetite and governance. What you'll bring - Around 5+ years of experience in Treasury, ALM or balance sheet risk management, ideally within a bank, though experience in a fintech, PSP or consultancy building similar frameworks is also relevant. - Solid working knowledge of liquidity risk (LCR/NSFR, ILAAP) and/or interest rate risk in the banking book (IRRBB/CSRBB). You don't need to be deep in both, but you understand how they connect to the balance sheet as a whole. - Comfort building models and frameworks from a blank page. You're not looking for a well-worn playbook, you're excited to write the first one. - Strong quantitative and Excel/financial modelling skills, with the discipline to document your logic clearly enough that someone else, including a regulator, can follow it. - The ability to explain complex balance sheet risk topics clearly to non-specialists, and the confidence to defend your recommendations to senior stakeholders. - Genuine curiosity about how AI can speed up the parts of this work that don't need a human, so more of your time goes toward judgment and design. Grow your way At Mollie, growth is personal. We believe everyone should have the chance to develop their skills, explore new challenges and shape their career on their own terms. You'll get regular feedback and performance reviews to support your development, with fair and transparent salary reviews along the way. Many Mollies move into new roles or take on new projects to stretch themselves, and we actively hire from within to help you take the next step. No matter if you're aiming for promotion, exploring a different career path or building new skills, you'll be supported with the tools, trust and opportunities to grow your way. Unlock your full potential and join us to eliminate financial bureaucracy. If you're excited by the idea of building a bank's Treasury function from scratch, for Mollie and for thousands of businesses across Europe, we'd love to hear from you. Apply with your CV (in English) using the form below. Want a peek behind the scenes? Check out what life at Mollie is really like. AI at Mollie We believe in Always Be Shipping, and AI brings that philosophy to life across every role, every day. AI is core to how we build. It helps us move faster, simplify work and make smarter decisions, creating real impact for the businesses we serve. We're looking for people who are excited to use AI to shape the future of finance and banking with us.

Location: Bulgaria, Hungary, Poland Why Join Exadel We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks. From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next. What powers it all? Our people are ambitious, collaborative, and constantly evolving. About the Client The leading provider of vehicle lifecycle solutions, with headquarters in Chicago, enables the companies that build, insure, and replace vehicles to power the next generation of transportation. Its platform delivers advanced mobile, artificial intelligence, and car technologies. It connects a network of 350+ insurance companies, 24,000+ repair facilities, hundreds of parts suppliers, and dozens of third-party data and service providers. The customer's collective solutions enhance productivity and help clients deliver better experiences for end consumers. What You’ll Do Design and implement end-to-end document intelligence pipelines on AWS Develop and optimize ML models for document classification, segmentation, and field extraction Build scalable data processing systems handling PDFs up to 2000 pages Collaborate with subject matter experts to create and refine requirements for extraction Own features from research through production deployment and monitoring Establish evaluation frameworks and quality metrics for extraction accuracy What You Bring Advanced knowledge of Python (native, Pandas, ScikitLearn, Tensorflow or Pytorch, PyStats, Pydantic) Experience with AWS tools for ML Engineering and ML deployment (Sagemaker, Lambda, Cloudformation/CDK, Step Functions) Advanced knowledge of SQL and Data Modeling Experience with GenAI for document intelligence, including prompt engineering, RAG (Retrieval Augmented Generation), multi-modal models (vision + text), and production deployment using AWS Bedrock or Azure OpenAI APIs Experience in experiment design (power analysis and hypothesis testing) Proficiency in both written and verbal communication, required for a remote and largely asynchronous work environment Demonstrated capacity to clearly and concisely communicate complex technical problems and propose iterative solutions Experience owning a feature from concept to production, including proposal, discussion, and execution Nice to have Experience with document processing tools (AWS Textract, Azure Document Intelligence, or similar OCR/layout detection systems) Experience with PDF and Image processing libraries (e.g. PyMuPDF, opnecv, pillow) Experience in Machine Learning/ Data Science (e.g., ML algorithm selection, feature engineering, model training, hyperparameter tuning, supervised and unsupervised learning implementation, building a model pipelines, using Machine Learning tools/libraries/frameworks) Experience working with AWS big data technologies (Redshift, S3, EMR, Glue, etc.) English Level Upper-intermediate Legal & Hiring Information Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more. Reasonable accommodations are available to enable individuals with disabilities to perform essential functions. Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs. Compensation details are shared with candidates at the early stage of the recruitment process. The offer is not binding until a signed contract is in place. Your Benefits at Exadel Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details. International projects In-office, hybrid, or remote flexibility Medical healthcare Recognition program Ongoing learning & reimbursement Well-being program Team events & local benefits Sports compensation Referral bonuses Top-tier equipment provision Exadel Culture We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

Location: London Workplace: Hybrid Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. ABOUT THE ROLE Almost any company can produce training video at scale today. Almost none can tell you whether it actually made someone better at their job. We're building the product that closes that gap: an agentic, real-time experience where people practice live, dynamic scenarios, and where organizations finally get genuine signal on readiness, instead of a metric tied to course completion. This is a zero-to-one bet on what comes after content, which is practice, and proof. You'll own one of two of the domains inside that bet, Surveys and Guidance, from strategy through ship. WHY NOW Real-time, agentic AI has only just become good enough to hold a convincing live scenario, and to make sense of what happens inside one. The window to define this category is open now, and we intend to own it. THE PROBLEM YOU'RE SOLVING Today, the most a company can do to check whether someone has genuinely learned something is watch them complete a module or pass a quiz. The behaviors that matter in real roles, in real moments, are rarely tested reliably, and what comes back to the business is a thin, lagging signal. We have the underlying technology to change that. What we need is a product manager who can turn it into something an enterprise will use to prepare its people, and that an end user actually wants to engage with, across two connected domains: - Surveys - capturing structured, trustworthy signal at scale: how people feel, how they're performing, and where the gaps are. - Guidance - giving people direction in the moment they need it, live and in context, rather than as a debrief after the fact. Both sit inside the same bet: give organizations proof of readiness, not just proof of attendance. WHAT YOU'LL BE DOING - Owning the multi-quarter strategy for Surveys and Guidance, setting the direction, identifying the right problems to solve, and making the trade-offs needed to deliver against them. - Defining and evolving the success metrics for both domains, and connecting product outcomes directly to commercial results: retention, expansion, and revenue impact. - Getting close to the customers who matter most: understanding how they think, where current tools leave them exposed, and translating that into a product direction others can act on. - Driving a shared understanding of where these product areas are going and why. Engineering, design, R&D, and commercial counterparts should all be able to articulate the strategy and the reasoning behind it. - Producing written narratives, strategy docs, and PRDs, that move decisions forward and give your team the context to build the right thing without a follow-up conversation. - Balancing short-term delivery with long-term product health: scoping to reflect execution risk, hitting milestones predictably, and iterating based on evidence rather than opinion. - Contributing to improvements in product practice across the team, and actively participating in PM hiring. WHO YOU ARE You've owned a critical product domain before, one where the stakes were real and the strategy was yours to set, not just execute. You're comfortable operating with autonomy on the what, not just the how, and you have a track record of connecting product decisions to commercial outcomes. You understand that zero-to-one products in complex domains require you to hold two things at once: the discipline to deliver predictably in the short term, and the judgment to make the right long-term bets while the evidence is still forming. You don't wait for a clean brief. You identify the right problems, form a view, and bring others along. You're a strong written communicator. Engineering and design partners, commercial leads, and senior leadership should all come away from your docs and updates with a clear understanding of where the domain is going and why, without needing to ask. You care about the quality of the experience. Real-time, agentic products are unforgiving, and you hold a high bar for what "good" feels like, for the user in the moment and for the customer looking at outcomes. YOU MAY BE A GOOD FIT IF YOU BRING - Significant experience in product management, with direct experience owning a critical product domain: setting strategy, not just executing it. - A track record of connecting product outcomes to commercial results: ARR, retention, expansion, or equivalent. - Experience with zero-to-one product development in a complex, experience-driven space. You've navigated the ambiguity of a zero-to-one build and have the scar tissue to show for it. - Experience building agentic or AI-powered products. You understand what makes real-time AI interactions feel natural, and what breaks them. - Strong written communication: strategy docs, PRDs, and decision memos that others can act on without a follow-up conversation. - Experience working alongside enterprise buying motions. You'll be close to the commercial team, and that context matters. We encourage you to apply even if you don't meet every point above. Strong candidates rarely match a list exactly, and we'd rather hear from you. LOCATION Flexible, hybrid role based from our London office. OUR CULTURE At Synthesia we’re passionate about building, not talking, planning or politicising. We strive to hire the smartest, kindest and most unrelenting people and let them do their best work without distractions. Our work principles serve as our charter for how we make decisions, give feedback and structure our work to empower everyone to go as fast as possible. You can find out more about these principles here. https://www.notion.so/How-we-work-at-Synthesia-f794caa72f8446efb6be22b551ce0fa2?pvs=21   GLOBAL BENEFITS: - You will be compensated well with a generous salary and equity. - You get 25 days of annual leave + local holidays. - Regular team offsites where you’ll get to collaborate with the product & engineering team in person. - Work from home budget - Work from anywhere policy of 60 days per year - Generous referral scheme - Enhanced parental leave - maternity leave includes 16 weeks at full pay, and paternity leave includes 5 weeks at full pay (if your country’s government scheme offers more generous support, you receive whichever is greater - our enhanced policy or the local statutory benefit)   BENEFITS SPECIFIC TO UK: - Private healthcare via AXA for you with a discount for dependants - 5% pension match - Team lunches Tuesday-Friday in the office - Flexible, hybrid role based from our London office.

Location: Malta The Wow As a Tech Lead at Betsson Group, your primary responsibilities will be geared towards driving technical excellence in our products. You will serve as a bridge between the domain architect(s) and engineering teams, facilitating technical design, decisions and delivery. Being a technical expert, you will actively support our managers in building world class engineering teams. This is a hands-on role, where you will have frequent opportunities to research new technologies, lead technical investigations and develop POCs for new ideas, and will actively participate in key technical initiatives A taster of what you will be involved with: Your main goal is ultimately to drive technical excellence in the domain - in particular towards improving stability, performance, code quality, and development efficiency. To this end, you will be expected to: Identify and champion technical improvements for consideration in the roadmap, ensuring the benefits are clear and understood. Work closely with architects to ensure that the architectural direction and standards are being communicated, aligned & implemented within the teams. Develop and maintain a strong understanding of our business and products. Take the lead on technical design decisions, whilst ensuring alignment with the domain architect(s). Take an active, hands-on role with important technical initiatives and issues. Support new product development by producing POCs and/or documented technical designs. Research new technologies and assessing their potential application. Review major changes to ensure they are up to standard. Serve as a key technical point of contact for the domain, collaborating with product, architecture and engineering colleagues across the organisation. Help build our world class teams, thus participating in technical interviews and providing technical feedback on people, as well as coaching & mentoring engineers. Participate in team ceremonies such as planning, refinement, etc... to keep up to date on ongoing works and upcoming plans. Lead technical trainings to share knowledge and improve technical expertise within the teams. What we are looking for A strong technical background in software engineering for web applications. Highly knowledgeable and experienced with TypeScript / JavaScript and Web Markup (CSS3/HTML5). A deep understanding of Observable technologies (preference for RxJS / Signals). Highly knowledgeable and experienced with modern agile software development practices, GIT based projects, and CI/CD. Knowledge about web component frameworks (ex. StencilJS) Highly experienced and comfortable working with large scale applications, including: SDK & FE components architecture, modularisation, efficient application bundling, unit testing, and integrating with backend APIs. Expertise in delivering highly performant web solutions on an international scale, with preference given to implementing SSR mechanisms and optimising content delivery with CDNs, caching, and other solutions surrounding front-end applications. Possess demonstrated working experience in defining and documenting technical solutions around front-end architecture and its integration with backend services. Ability to efficiently review PRs and provide constructive feedback. Experienced and passionate about coaching and mentoring people, preferably having done so in a similar role. Communicates clearly and confidently with the engineering team, whether running training or knowledge transfer sessions, walking through requirements, or presenting technical designs Communicates effectively upwards with Architects and the Head of Engineering, presenting technical proposals, trade offs and risks with clarity and sound reasoning Is approachable and open, someone the team feels comfortable going to for guidance or support. A strong team player who builds trust, shares knowledge willingly and contributes to a collaborative team culture Great if you have Prior experience working with custom UI design system frameworks. A good understanding of front-end data tracking through Google Analytics / Google Tag Manager. A good understanding of AI Tooling and AIDLC practices. Helps driving AI Tooling adoption within the team in a responsible manner, building confidence and good habits. Applying sound judgement to AI generated output, ensuring code quality and security is never compromised. Working experience with geographically distributed teams. What we offer Much like riding a rollercoaster, sometimes life at Betsson can be lightning fast with twists and turns but always FUN! Then again, what else would you expect from a business 75% millennial and 1700 strong, spread across 7 offices with 900 based out of our Malta HQ alone! We recognise it may not be for the faint-hearted, but if you’re a go-getter, initiator and adrenaline junkie, always striving to push the boundaries and challenge yourself, then you’ll fit right in. Challenge accepted? By submitting your application, you understand that your personal data will be processed as set out in our Privacy Policy

Location: Remote - India AI/ML Solution Architect Education & Assessment Platforms About Pratham International Pratham International is a US 501(c)(3) established to support learning innovations for children and youth in contexts across the globe. We enable the adaptation and spread of proven and scalable education solutions pioneered in India by Pratham Education Foundation to contexts across the global south through programming and technical assistance tailored to local realities. Today, Pratham innovations reach millions of children annually through partnerships across ~30 countries. Through the Pratham Shah PraDigi Innovation Centre (PraDigi), Pratham International also seeks to create technology innovations for low-resource communities, and support models aimed at learning for school, work, and life for children and youth. We work on several cutting-edge projects in the domain of Generative AI, Automatic Speech Recognition, and Natural Language Processing. The team’s innovative technology products include the PadhAI: Reading Assessment App, which uses advanced speech recognition to evaluate children’s reading fluency in 8 Indian languages and 6 global languages; Anytime Testing Machine (ATM), an AI-enabled question generation and grading system that allows learners to be assessed on any topic, anytime; and a suite of AI-powered chatbots designed for diverse learning contexts: from early childhood care, to youth employment readiness, and OCR-based analysis tools that digitize and assess student work at scale. At Pratham International, we build for the long term. Whether it’s ensuring products are truly accessible across rural India and the global south through languages, building datasets to ensure context and accuracy for products, or gathering feedback from the field. Backed by partners like Google.org, Anthropic, and the Gates Foundation, we are committed to building digital public goods that ensure every child is in school and learning well. Role Overview About the work We design and deliver AI systems that governments and large education programmes can actually run: curriculum-aligned item generation, paper assembly, handwriting OCR, rubric grading, and teacher-in-the-loop review. The work is already live as practice assessment in India and is being built as a national exam platform in Rwanda, with further country programmes behind it. We are hiring a Solution Architect who sits between discovery and delivery. You will turn messy workshop notes and ministry requirements into architecture a team can build, secure, cost, and operate — RAG and multi-agent systems, LLM-as-judge pipelines, and the cloud/LLMOps layer underneath. You will Own solution design from first workshop to a delivery-ready blueprint (services, data stores, trust boundaries, cost, ops). Architect LLM pipelines: generation, retrieval over curriculum knowledge graphs, standards/duplication/quality judges, constraint-based paper assembly. Design human + AI workflows with audit, segregation of duties, cycle-pinned config, and no student PII in model calls. Choose and govern models, prompts, eval gates, and fallbacks (including OCR: Azure primary, secondary fallback). Shape the Azure/AWS platform: identity, networking, LLMOps/MLOps, observability, and sovereign-hosting constraints. Run client workshops, write POVs and architecture packs, and stay accountable until the system is in production. About the work Pratham International programmes sit at the intersection of pedagogy, public systems, and production AI. The pattern is consistent across countries; the constraints change. Anytime Testing Machine (ATM) — India, practice and feedback End-to-end assessment for real classroom conditions: generate curriculum-aligned items, digitise handwritten answers (often photographed on a phone), grade against rubrics, and return feedback a teacher reviews before it reaches the learner. Built for high pupil–teacher ratios, mixed language (e.g. Hindi + English), and uneven connectivity. Pilots have already reached thousands of learners, including Second Chance (women returning for Grade 10). Model quality is measured against expert golden sets, not vendor slides. National assessment automation A government-grade exam platform. Phase 1 is item authoring and print-ready paper composition before the exam window. Phase 2 is script intake, OCR at national volume, AI-assisted grading with human confirmation on the pilot, results export, and monitoring/evaluation reporting. Subjects span core and elective streams across the curriculum. Design rules that do not exist in a typical SaaS product: cycle-pinned configuration, embargoed papers, hash-chained audit trails, and integration with national student information and assessment management systems. Curriculum knowledge graphs Structured retrieval corpora (concepts + worked examples) that ground generation and judging. This is the standing public-knowledge exception in an otherwise closed exam system, and the seed of a broader education DPI conversation. AI in TaRL and teacher support AI tools that help teachers group and teach by learning level, with an RCT-shaped evidence bar. Same product family: human agency stays in the loop; the model is a capacity multiplier. Country programmes and the three-year direction Adapt the same engine to new ministries, languages, and exam rules (Kenya and other Global South programmes are in scope). The longer bet is a learning and credentialing engine that recognises competence beyond a single syllabus. This is not a chatbot brief. It is constrained generation, retrieval, judging, document AI, workflow, and public-sector operations. Why this role exists Most enterprise AI dies between the workshop and production. We need one person who owns that gap: someone who can sit with NESA, C4IR, Pratham pedagogy, and engineering in the same week, and leave behind a blueprint the delivery team can execute without inventing policy. The target profile is a practising AI/ML Solution Architect — not a pre-sales slide owner, and not an infra-only platform engineer. The person should have done all three of these: Designed GenAI / NLP solutions, PoCs, and client workshops, and can talk to research-grade issues (eval, agent safety, prompt-injection, model-specific behaviour). Owned the AI platform: LLMOps, MLOps, DevSecOps, SRE habits, cloud migration, and FinOps. Taken messy discovery and turned it into Azure-centred RAG and multi-agent designs that a security team will accept. Key Responsibilities Discovery → architecture Lead solution workshops with programme, ministry, and engineering stakeholders. Convert half-formed requirements into service cuts, data stores, sequence diagrams, decision gates, and open-question lists with owners. Write architecture decision records. When the docs disagree (they will), force a decision instead of coding both. AI system design Design LLM jobs as contracts: inputs, JSON schema, temperature, persist prompt hash / model / tokens / latency. Architect generation grounded in structured curriculum blueprints and knowledge-graph retrieval, not "ask the model for a maths paper." Design LLM-as-judge banks (cognitive-level, relevance, difficulty, language, fairness, standards, duplication, blueprint compliance) with thresholds, one-repair rules, and golden-dataset release gates. Design hybrid assembly: constraint solver first, model only on ties and layout exceptions. Design document AI: primary OCR provider, secondary fallback provider, confidence routing, de-identification before any grading call. Specify eval: inter-rater agreement, rubric-band exact match, first-pass item acceptance, cost per paper cycle. Platform, trust, cost Own the reference architecture on the chosen cloud platform(s): identity, RBAC + segregation of duties, private networking, key management, object storage for scans, vector index, data warehouse for monitoring/evaluation reporting. Draw trust boundaries. Student PII never crosses the model gateway. Prompts are curriculum + knowledge-graph + blueprint content only. Put FinOps on the design: token budgets, OCR cost caps, degradation behaviour when a cap is hit, model routing. Specify LLMOps/MLOps: prompt/version registry, eval regression as a release gate, observability, rollback. Design for sovereign hosting and exam-cycle operations (embargo, watermarking, append-only audit, cycle-pinned configuration). Delivery and thought leadership Stay with the build through the first production cycle. Architecture that cannot be implemented is unfinished work. Produce POVs, sequence packs, and workshop artefacts that can be reused in the next country. Mentor tech leads on where the model should stop and the workflow should start. Success in the first two quarters First 30 days — Orient Complete architecture walkthroughs of every live/in-flight system with the current engineering leads; document current state (services, data stores, trust boundaries) as-is, not as-designed Meet every active stakeholder group once: engineering, programme/domain leads, and any external partner or government-side counterpart Inventory all open technical decisions and disagreements in existing specs; log each with current owner (if any) and status Identify the single highest-risk unresolved design question and flag it upward Day 60 — Diagnose Produce a current-state architecture diagram covering every major pipeline: data flow, model/LLM touchpoints, storage, and identity/access boundaries Assign an owner and target resolution date to every open contradiction identified in month 1 Draft a v1 reference architecture for one representative end-to-end workflow: service breakdown, data stores, identity/access model, model gateway placement, and a first-pass cost estimate Day 90 — Commit v1 reference architecture is reviewed and accepted by engineering and relevant stakeholders (not just self-signed) Can walk any core pipeline end-to-end from memory and name every data store, every quality/eval gate, and every trust boundary in it At least one architecture decision record is published for a previously-contested design question, with the decision forced rather than left open A first cost model exists for the reference architecture, with at least one identified lever for reducing spend if usage scales Day 120 — Harden Core pipeline components (generation, retrieval, judging/eval, or equivalent stages for this domain) have documented contracts: defined inputs/outputs, schema, and logged metadata (model, version, cost, latency) An evaluation harness exists for at least one component, with a defined pass/fail threshold A release gate exists that can block a bad prompt, model, or config change from reaching production Day 150 — Extend The next major system phase or capability is specified to the same rigor as the first: trust boundaries, failure modes, fallback behavior, and cost caps documented before build starts FinOps guardrails are in place for at least one production workload: budget ceilings, degradation behavior when a cap is hit, and a routing or fallback strategy Day 180 — Generalize A reusable design pattern or adaptation pack exists, separating what is fixed in the architecture from what varies by deployment context (e.g. language, hosting environment, external-system integration, content/domain rules) At least one engineering or technical lead has been mentored on where model-based logic should stop and deterministic/workflow logic should take over A second production-readiness review (security, cost, or operations) has been passed on a system this person designed or substantially redesigned Qualifications and Experience Must have 8+ years building software or data/AI systems, with recent experience as a Solution Architect, AI/ML Architect, or Principal/Staff Engineer with end-to-end architecture ownership. Shipped at least one production AI/ML system — RAG, multi-agent, LLM-as-judge, or a comparable classical ML/NLP pipeline at scale — that passed a real security, cost, and operations review, not just a pilot or a slide deck. Can produce a delivery-ready architecture blueprint: services, data stores, IAM, failure modes, evaluation strategy, and cost model — detailed enough that engineering isn't guessing at intent. Deep cloud experience on Azure and/or AWS: comfortable defending a landing-zone design, private-endpoint architecture, and a real monthly compute/inference/OCR spend. Fluent in Python, with hands-on experience in both classical ML (model training, evaluation, feature pipelines) and how LLM APIs, embeddings, and vector search actually behave under production load. Comfortable running a room with non-engineers — domain specialists, IT stakeholders, monitoring/evaluation teams — and translating fluently in both directions. Strong written English; this role's output is documentation that functions as a binding technical contract. Strongly preferred Azure AI (AI Foundry / OpenAI / Document Intelligence), plus one of AWS (Bedrock, SageMaker) or GCP (Vertex, BigQuery). LLMOps / MLOps: prompt + model versioning, MLflow or equivalent, eval harnesses, CI that can block a bad prompt. Document AI / OCR at volume; handwriting and low-quality scans, not only clean PDFs. RAG over structured knowledge (graphs, ToS, textbooks) and hybrid search, not only naive chunking. Education, assessment, public sector, or other high-audit domains (health, finance, identity). Certifications: Azure Data Scientist / Azure Solutions Architect; AWS SAA, ML Specialty, or Data Analytics Specialty. Experience with agent security: tool-use limits, DLP on egress, prompt-injection evaluation that is model-specific. FinOps discipline. You have killed a design because it would not survive the token bill. Nice to have Microsoft Fabric, Databricks, Semantic Kernel / Microsoft Agent Framework, MCP (Model Context Protocol) tool integration for agentic workflows. Constraint solvers or exam-blueprint / item-bank systems for automated test assembly. Multilingual generation and feedback, including code-mixed language pairs (e.g. Hindi–English, Spanish–English, or similar). Experience standing up golden/eval datasets with subject-matter experts. Prior work with government data systems, data-sharing agreements, or in-country/sovereign hosting requirements. What this role is not Not a research-only post. Publications help; shipping is the job. Not a pure platform/SRE hire. Infra is part of the design, not the whole design. Not a prompt engineer who hands off “the architecture” to someone else. Not a people manager of a large team on day one — you influence through artefacts and reviews. How we will assess you We value transparency and respect your time. Our hiring process is designed to evaluate both hands-on technical depth and architectural judgment through practical, real-world tasks. Stage 1: Application & Knockout Screening Submit your CV alongside key screening responses Artefact — send two of: architecture note, eval design, runbook, ADR. Slides without decisions do not count. Stage 2: Initial Conversation (30 mins) An introductory screen covering your background, project context and baseline alignment. An opportunity for you to ask questions about our technical roadmap, partner ecosystem, and vision. Stage 3: Practical Take-Home Written Assessment (2–3 hours) Design exercise on a constrained generation + judge + human-review pipeline (we will use a sanitised exam-authoring brief). We want trust boundaries, eval, and cost, not a model-name dump. Stage 4: Deep-Dive Technical & System Architecture Walkthrough Walkthrough of a system you shipped: what failed in review, what you changed, what it costs to run. Stage 5: Final Stakeholder & Vision Alignment Final conversation with key technical leadership and program stakeholders. Employment Details Function: Solutions / Architecture Reports to: Head of Technology / CTO Expected Start Date: Immediate Location: India (remote-first; travel to client workshops as needed) Experience: 8–13 years (strong 6–8 considered if you have shipped production GenAI) Engagement: Full-time Remuneration: Based on candidate’s experience and skillset Flexibility to work across timezones: Our team spans Latin America to Southeast Asia. Early mornings  or late evenings can be a regular part of the rhythm Why join us? Impact at Scale: Your work will directly support the learning journeys of millions of children. With programs active in 31 countries, you will help build Digital Public Goods that bridge the gap for the millions of children across the Global South who still struggle with foundational literacy Innovation at the intersection of Education and Technology: Lead the charge in redefining learning and learning processes through technology. You will contribute to the design and development of cutting-edge learning tools and AI-driven initiatives, ensuring EdTech isn’t just a buzzword, but a scalable solution for global equity. A Culture of Growth and Evidence: At Pratham, we value rigorous testing and continuous learning. You will have the autonomy to experiment with the latest SOTA models, supported by a 5-year strategic roadmap and funding from partners like the Gates Foundation and Anthropic. High-Calibre, Mission-Driven Team: You will work alongside a global team of experts from institutions like MIT, Harvard, and INSEAD. Our alumni have gone on to lead successful startups and international policy shifts, all while remaining dedicated to the goal of “Every Child in School and Learning Well.” Inclusive and Collaborative Environment: Join a diverse team that spans Asia, Africa, and Latin America. We value innovative thinking and local expertise, ensuring that the technology we build is deeply rooted in the realities of the communities we serve. Pratham International is an equal opportunity employer and encourages all qualified people from diverse backgrounds to apply for positions within our organisation, regardless of race, gender, disability or any other status.

Location: Paris Workplace: Hybrid ABOUT VOODOO Founded in 2013, Voodoo is a tech company that creates mobile games and apps with a mission to entertain the world. Gathering 800 employees, 7 billion downloads, and over 200 million active users, Voodoo is the #3 mobile publisher worldwide in terms of downloads after Google and Meta. Our portfolio includes chart-topping games like Mob Control and Block Jam, alongside popular apps such as BeReal and Wizz. TEAM The Engineering & Data team builds innovative tech products and platforms to support the impressive growth of their gaming and consumer apps which allow Voodoo to stay at the forefront of the mobile industry. The Engineering & Data team plays a key role in Voodoo's long-term strategy. It enables Voodoo to both accelerate product diversification and provide a state of the art growth-engine to distribute and scale our games. They create innovative solutions that drive growth with a pragmatic approach, ranging from simple searching to complex machine learning systems. ROLE We’re looking for a Senior Security Engineer to join our Engineering & Data team. In this role, you’ll be responsible for a wide variety of topics: - Security Engineering & Guardrails: Architect, construct, and maintain automated security guardrails and paved paths to foster secure-by-default development environments. - Shift-Left Architecture Guidance: Collaborate with development teams during the early ideation and design phases to embed secure coding practices and architecture from inception. - Continuous & Automated Assessment: Develop automated, continuous assessment capabilities that replace manual reviews and scale seamlessly across the business unit. - Hands-on Code Contribution: Work directly alongside engineers to contribute code for security fixes and paved-path solutions, ensuring security remains the simplest route. - Self-Service Tooling: Partner with developers to build scalable, self-service security tools that empower teams to detect and remediate risks independently. - Preventive & Detective Controls: Implement robust preventive and detective controls to deliver ongoing assurance rather than point-in-time security checks. - Strategic Collaboration & Incident Response: Drive long-term security strategy with key stakeholders while actively participating in periodic on-call rotations for incident support. - AI-Driven Security Innovation: Utilize AI technologies and methodologies to streamline threat detection, accelerate security evaluations, and advance scalable system protection. PROFILE (MUST HAVE) - 5+ years of experience troubleshooting systems, analyzing logs, and automating complex tasks via command-line tools - 5+ years of experience identifying security vulnerabilities, assessing risks, and constructing mitigation strategies - 5+ years of hands-on experience with scripting, software development, and security-focused code reviews across standard programming languages - Demonstrated expertise in recognizing industry-standard security vulnerabilities, understanding threat vector patterns, and applying effective remediation techniques - Proven track record in a leadership or guidance role, such as a technical lead, mentor, or engineering team lead - Proficiency in applying threat modeling and comprehensive risk identification methodologies - Proven track record securing microservices, service-oriented architectures, and web services - Experience with identity provider servers and authentication protocols (such as OAuth2, OIDC, SAML) - Experience with penetration testing (pentest) and vulnerability assessments - Self-starter with strong ownership, accountability, and ability to work autonomously and collaboratively across teams and organizations in a fast-paced environment. PROFILE (NICE TO HAVE) - Advocate for security standards with clarity and empathy. - Familiarity with AI/ML workflows and agents. OUR STACK Terraform, Kubernetes, Prometheus, ArgoCD, CircleCI, GitHub Actions, Atlantis, Grafana, Claude Code, Trivy, Conftest / OPA, AWS IAM Identity Center (SSO), Okta, AWS Secrets Manager, AWS KMS, AWS WAFv2, AWS Shield, AWS ACM, AWS GuardDuty, Sealed Secrets, Kyverno, cert-manager BENEFITS - Competitive salary based on experience - Swile Lunch voucher - Gymlib (100% covered by Voodoo) - Premium healthcare coverage with SideCare, 100% covered for you and your family - Wellness activities in our Paris office - Remote Fridays

Задачи: — Сбор и анализ бизнес- и технических требований — Коммуникация с клиентом и внутренними командами — Управление scope проекта — Подготовка BRD, SRS, user stories, acceptance criteria — Участие в acceptance testing — Анализ бизнес-процессов и поиск улучшений — Координация ожиданий стейкхолдеров Требования: — 4+ года опыта Business Analyst — Практический опыт с Salesforce Marketing Cloud — Понимание процессов разработки ПО — Сильные навыки business/system analysis — Опыт CRM-интеграций: Salesforce ↔️ CRM / ERP / third-party systems — Опыт с requirements documentation — Сильная коммуникация и negotiation skills — Английский B2+ — Опыт Enterprise CRM ecosystems (плюсом) — Опыт Marketing automation (плюсом) — Опыт International distributed teams (плюсом) Условия: — Удалённая работа

Location: Dubai Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. As a Senior Quantitative Developer, you will work in a close-knit global team of Multi-Asset Quant Developers and Researchers, collaborating to enhance our research platform in a fast-evolving environment. You will directly contribute to the team’s success by recommending innovative software solutions and building new tools and systems. Your future role within QRT Provide technical leadership and help raise engineering standards across the team Improve software engineering practices across research workflows, including the effective adoption of agentic coding tools and workflows Automate and streamline large-scale data preparation and cleansing workflows Build, enhance, and support quantitative research tools Help Quant Researchers bring trading strategies into production Continuously evolve the team’s software platform to meet changing business needs Your present skillset 5–10 years of quant development experience High standards for code quality, testing, and maintainable software design Strong Python development skills and proficiency with agentic software development Ability to multitask, prioritize projects, and collaborate effectively Strong communication skills and ability to thrive in a fast-paced environment QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.