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Location: Colombia; Mexico; Argentina; Costa Rica; Venezuela, Bolivarian Republic of; Brazil About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups, SaaS platforms, and digital-first businesses. Unlike traditional outsourcing models, you are placed directly with a client as an in-house team member, contributing to impactful, real-world products. Role Type: Full-time Engagement: Independent Contractor About the Company Our client is a fast-growing performance marketing agency that helps direct-to-consumer (DTC) brands scale profitably through Paid Media, Conversion Rate Optimization (CRO), creative strategy, and conversion-focused publisher networks. Acting as an extension of their clients’ in-house growth teams, they specialize in rapid testing, high-converting funnels, and data-driven experimentation to drive measurable revenue growth. Job Summary As a QA Engineer, you'll be responsible for ensuring the quality, stability, and performance of software applications throughout the development lifecycle. You'll work closely with developers, product managers, and designers to identify defects early, validate new features, and contribute to continuous improvements in testing practices. The ideal candidate has hands-on experience with both manual testing and test automation, is comfortable working in Agile teams, and has a strong understanding of software quality assurance methodologies. Key Responsibilities Develop, execute, and maintain detailed test plans, test cases, and test scenarios. Perform functional, regression, integration, smoke, exploratory, and user acceptance testing. Design and maintain automated test scripts using industry-standard automation frameworks. Identify, document, prioritize, and verify software defects using bug-tracking tools. Collaborate with developers to reproduce issues and validate fixes. Test REST APIs using tools such as Postman or similar API testing platforms. Participate in sprint planning, backlog refinement, and release readiness activities. Ensure product quality before production deployments. Continuously improve QA processes, documentation, and testing standards. Work closely with cross-functional teams to deliver high-quality software on schedule. Requirements 3–4 years of professional experience as a QA Engineer, Software Test Engineer, or Quality Assurance Engineer. Strong experience with manual software testing across web applications. Experience with test automation tools such as Selenium, Cypress, Playwright, or similar frameworks. Solid understanding of software development lifecycle (SDLC) and software testing lifecycle (STLC). Experience testing RESTful APIs using Postman or equivalent tools. Familiarity with Agile or Scrum development methodologies. Experience using bug tracking and project management tools such as Jira, Azure DevOps, or similar. Basic knowledge of SQL for database validation and testing. Familiarity with Git version control and CI/CD pipelines is an advantage. Strong analytical, troubleshooting, and problem-solving skills. Excellent written and verbal English communication skills. Ability to manage multiple priorities and work effectively in a remote team environment. Experience testing SaaS platforms or cloud-based applications. Knowledge of performance or load testing tools. Exposure to Docker, Kubernetes, or cloud environments. ISTQB Certification or equivalent QA certification. Experience integrating automated tests into CI/CD workflows. Benefits 💰 Competitive salary based on experience and seniority 🚀 Work on impactful, user-facing products with a global reach 📈 Clear career progression in a high-growth tech environment 🌎 Fully remote role with an international team. 🎓 Access to ongoing learning and professional development. 🤝 Collaborative engineering culture with modern development practices.

Location: Limassol, Cyprus RequirementsBusiness Analysis: At least 2 years of experience as a Business Analyst, gathering, analysing and documenting business requirements to ensure business needs are translated into clear implementation requirements.Requirements Management: Experience in documenting business processes, user journeys, functional and non-functional requirements, preparing user stories, acceptance criteria and technical documentation to support the full delivery lifecycle.Process Modelling & Collaboration Tools: Working knowledge of BPMN, UML, Jira, Confluence, Miro and Figma (reviewing designs, documenting interface logic and collaborating with designers) to support solution design and delivery.Data Analysis: Experience with Metabase or other BI tools, validating data and metrics, and defining requirements for reports and dashboards to support data-driven decision-making. Basic SQL knowledge is an advantage.AI: Experience using AI tools in day-to-day work, understanding the capabilities and limitations of AI solutions, and identifying opportunities to automate business processes.Software Delivery: Understanding of SDLC and Agile ways of working to collaborate effectively with development teams throughout the delivery lifecycle.Communication: Strong analytical and communication skills, with the ability to work effectively with cross-functional stakeholders. Upper-Intermediate (B2) level of English or higher is considered an advantage.ResponsibilitiesGather, analyse and document business requirements from internal stakeholders to ensure solutions meet business needs.Analyse and optimise HR processes, identify opportunities for automation, and define requirements for new functionality.Prepare user stories, acceptance criteria, technical specifications and other project documentation to support solution delivery.Break down business requirements into development tasks and support implementation from discovery through to release and post-launch support.Define requirements for reports and dashboards, validate data and metrics in Metabase, and ensure the accuracy of reporting.Explore opportunities to apply AI to internal processes, define requirements for AI-enabled functionality, participate in solution validation, and collaborate with HR, developers, designers, analysts and other stakeholders to deliver effective business solutions.What we offerHigh salary (plus performance bonuses and salary revision);Work schedule: Mon-Fri (9h with 1h lunch break), flexible start 8:00-10:00;24-days holiday leave;First line seaview from your office;Corporate English and Greek lessons;GYM and SPA in the office;Corporate meals;Eventful corporate life;Exciting work challenges that allow you to grow to your full potential;Strong team of like minded professionals who will be by your side to accomplish ambitious projects, and to stimulate your professional development and bring experience.

Location: Pakistan; Philippines; Mexico; Colombia; South Africa; India About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups, SaaS platforms, and digital-first businesses. Unlike traditional outsourcing models, you are placed directly with a client as an in-house team member, contributing to impactful, real-world products. Role Type: Full-time Engagement: Independent Contractor About the Company Our client is a fast-growing performance marketing agency that helps direct-to-consumer (DTC) brands scale profitably through Paid Media, Conversion Rate Optimization (CRO), creative strategy, and conversion-focused publisher networks. Acting as an extension of their clients’ in-house growth teams, they specialize in rapid testing, high-converting funnels, and data-driven experimentation to drive measurable revenue growth. Job Summary We're looking for a detail-oriented QA Engineer to join one of our growing client teams. This is an excellent opportunity for someone passionate about software quality, testing best practices, and delivering exceptional user experiences. You'll work closely with developers, product managers, and designers to ensure applications meet the highest standards before release. Whether you specialize in manual testing, automated testing, or both, you'll play a key role in identifying issues, improving product reliability, and helping build software that customers love. Key Responsibilities Design, execute, and maintain comprehensive test plans and test cases. Perform manual functional, regression, integration, exploratory, and user acceptance testing. Develop and maintain automated test scripts where applicable. Identify, document, prioritize, and track software defects. Work closely with software engineers to reproduce and resolve bugs. Participate in sprint planning, backlog grooming, and release planning. Validate new features, enhancements, and bug fixes before deployment. Perform API testing and verify backend functionality. Test web, mobile, and cloud-based applications across multiple browsers and devices. Collaborate with product and engineering teams to improve overall software quality. Contribute to continuous improvement of QA processes, documentation, and testing standards. Monitor application performance and usability during testing. Support production releases and perform post-release validation. Requirements 2+ years of experience in Software Quality Assurance (QA) or Software Testing. Strong understanding of the Software Development Life Cycle (SDLC), Software Testing Life Cycle (STLC), and Agile/Scrum methodologies. Experience performing both manual and automated testing across web, mobile, or SaaS applications. Proficiency with QA and testing tools such as Selenium, Cypress, Playwright, Appium, Postman, Swagger, JMeter, TestRail, Zephyr, Xray, Jira, Azure DevOps, Git, GitHub, GitLab, Jenkins, GitHub Actions, Docker, BrowserStack, and similar industry-standard platforms. Familiarity with programming or scripting languages such as JavaScript, TypeScript, Java, Python, C#, or SQL. Experience testing APIs, databases, cross-browser functionality, performance, and cloud-based applications using modern QA tools and frameworks. Strong analytical, troubleshooting, and problem-solving skills with exceptional attention to detail. Excellent written and verbal communication skills, with the ability to collaborate effectively with cross-functional engineering and product teams. Comfortable working independently in a fully remote, fast-paced environment. Nice to have: experience testing SaaS or mobile applications (iOS/Android), accessibility (WCAG), security or penetration testing, AI-assisted testing tools, distributed remote teams, and an ISTQB certification. Benefits 💰 Competitive salary based on experience and seniority 🚀 Work on impactful, user-facing products with a global reach 📈 Clear career progression in a high-growth tech environment 🌎 Fully remote role with an international team. 🎓 Access to ongoing learning and professional development. 🤝 Collaborative engineering culture with modern development practices.

Требования: - опыт автоматизации тестирования от 5 лет; - уверенное владение Java 17+, опыт написания поддерживаемого и расширяемого кода; - глубокий практический опыт с Selenium / WebDriver; - уверенное применение Page Object / Screenplay и понимание архитектуры автотестов; - опыт работы с TestNG на уровне проектирования тестовой структуры; - уверенное использование Cucumber (BDD) и поддержка читаемых сценариев; - практический опыт работы со Swagger / OpenAPI, генерация и кастомизация клиентов; - системная интеграция UI-тестов с API-слоем (REST, тестовые данные, проверки); - глубокое понимание web-архитектуры (frontend / backend, HTTP, REST); - опыт настройки и оптимизации CI/CD для автотестов; - понимание современных SDLC и практик тестирования. Задачи: - обеспечение качества системы - участие в тестировании, написание тестовых сценариев, автоматизация тестирования; - активное участие в процессе разработки системы с акцентом на тестирование на всех этапах; - участие в разработке и поддержке фреймворка автоматизированного тестирования; - разработка вспомогательных инструментов, сервисов, утилит и скриптов. Условия: - возможность профессионального и карьерного роста, участие в разных проектах; - опыт работы в распределенной команде профессионалов; - уровень заработной платы обсуждается индивидуально; - корпоративные скидки на изучение иностранного языка, абонемент в фитнес, образовательные курсы; - формат работы - удаленно на территории РФ.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level and live longer through a deeper understanding of their bodies and daily lives. Protecting our members’ data and ensuring our systems scale securely and reliably is core to this mission. As a Director of Product Security you will play a critical role in shaping, driving, and leading our software engineering teams towards a secure software development lifecycle and strengthening product-facing identity and authentication capabilities that protect our members. This role will strategically craft the roadmap in collaboration with stakeholders across the business and staff the team to fulfill growing security needs across engineering. In addition to core product security responsibilities, you will partner closely with functions across Product, Software, Legal, Compliance, and enterprise security to meaningfully move the security posture of the company. We are seeking a leader and strategic partner with prior experience driving the engineering side of security for software teams. RESPONSIBILITIES - Build, lead, and grow multiple engineering teams executing on product-facing security strategy, including member authentication, code security, cloud security across AWS accounts, privacy by design, and threat modeling. - Lead application vulnerability management programs across bug bounties, code vulnerabilities, container vulnerabilities, and infrastructure vulnerabilities. - Build, integrate, and mature DevSecOps tooling and developer security controls, including SAST, SCA, container scanning, secrets detection, CI/CD security checks, and secure-by-default developer workflows. - Define and communicate long-term product security strategy, product architecture standards, and design principles for product-facing systems. - Partner with engineering, office of the CISO, and compliance leadership to embed privacy and security by design across the software development lifecycle. - Establish and enforce best practices, standards, and processes for secure software development, testing, and deployment. - Provide mentorship, guidance, and career development for engineering managers and individual contributors. - Foster a culture of innovation, teamwork, psychological safety, and continuous learning within the Product Security organization. QUALIFICATIONS - Demonstrated success scaling a security team whilst crafting clear and efficient team domains. - Proven experience as a technical leader managing multiple teams or a growing security engineering organization. - Experience growing high level individual contributor career growth at the staff level or higher. - Deep understanding of product security principles, including vulnerability management, data privacy, threat modeling, secure SDLC practices,and secure-by-default engineering patterns. - Experience building or integrating developer security tooling to improve secure-by-default practices. - Strong technical background in software development, testing, and deployment processes. - Excellent communication, interpersonal, and leadership skills with the ability to influence across teams and levels. BONUS QUALIFICATIONS - Experience with AWS cloud environments and data-driven decision-making. - Hands-on experience with containerized microservice environments. - Background in incident response and post-mortem analysis for security events. - Familiarity with automation frameworks for vulnerability scanning, compliance checks, or infrastructure security. ABOUT YOU - You’re a strategic and people-focused leader who thrives on balancing hands-on technical oversight with long-term organizational growth. - You have experience building and scaling security engineering focused teams. - You’re passionate about creating secure, privacy-first systems that protect member data and enable innovation. - You collaborate effectively across technical and non-technical teams and can operate confidently in both strategic and tactical domains. - Above all, you believe that security enables innovation, and you lead by fostering a culture that supports both speed and safety. Learn more about our Software Org and how to be successful in your engineering career at WHOOP via our Career Framework https://engineering.prod.whoop.com/careerframework.   This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.   Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.   WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Location: London, United Kingdom About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Nebius is seeking a IT Risk & Controls Manager to act as an embedded risk partner to our engineering and technology organizations. You will help scale and strengthen a modern IT SOX and controls framework across Nebius’s custom-built AI cloud platform, infrastructure, corporate technology environment and other systems supporting financial reporting. This role goes beyond traditional IT audit testing. You will work directly with engineering leaders, system owners, Finance, Internal Controls and external auditors to identify risk, design scalable controls, improve evidence quality, drive remediation and embed compliance into the way our technology organizations operate. The successful candidate will combine deep IT risk and controls expertise with meaningful in-house technology experience. You must be equally comfortable discussing technical control design with engineers, explaining risk implications to business leaders and aligning audit expectations with external assurance providers. Your responsibilities will include: Act as the risk and controls partner for an assigned technology organization or system portfolio, developing a detailed understanding of its architecture, operations, risks and financial-reporting dependencies. Own and continuously improve the relevant IT risk and control framework, including system scoping, risk assessment, RCM and control-catalogue maintenance, documentation and control ownership. Lead IT SOX readiness for assigned systems, including walkthrough preparation, evidence-quality review, testing coordination, issue evaluation and remediation oversight. Partner with engineering, platform, infrastructure, security and corporate IT teams to design and implement scalable controls that address risk while supporting operational efficiency. Design, assess and enhance ITGCs across areas such as user access, privileged access, segregation of duties, change management, SDLC, system operations, incident management and third-party services. Assess IT application controls, automated controls and IT-dependent business controls, including the completeness and accuracy of system-generated information used in business-process controls. Evaluate how business controls depend on systems, integrations, configurations, reports and underlying ITGCs, and work with both business and IT control owners to resolve gaps. Apply risk and controls thinking to modern engineering practices, including cloud infrastructure, DevOps, CI/CD, repositories, deployment processes, containerized environments and audit logging. Lead the assessment and remediation of control gaps arising from new systems, major technology transformations, platform changes, integrations and acquisitions. Review third-party assurance reports and determine the impact of vendor controls and complementary user-entity controls on the Nebius control environment. Maintain effective working relationships with external auditors and advisers, aligning on audit scope, evidence expectations, testing approaches, reliance opportunities, timelines and issue resolution. Translate complex technical risks and auditor requirements into practical guidance for engineering and system owners. Use data analytics, automation, continuous monitoring and AI-assisted tools to improve control coverage, evidence quality and the efficiency of the IT SOX program. Contribute to the development of IT controls methodology, standards, tooling, training, reporting and the broader Risk Partner operating model. Provide clear, concise updates on control health, audit readiness, deficiencies and remediation progress to senior technology and Finance stakeholders. We expect you to have: A degree in Information Systems, Computer Science, Engineering, Accounting, Finance or a related discipline, or equivalent professional experience. At least eight years of progressive experience in IT risk, IT controls, IT SOX, technology assurance, IT audit or a closely related area. Meaningful in-house technology or corporate ownership experience is required. Big Four or consulting experience is valuable when combined with subsequent in-house responsibility, but an exclusively advisory or external-audit background will not be sufficient. Experience working in a first-line technology, engineering, systems or IT operations role, or as an embedded in-house risk partner supporting a technology organization. Hands-on experience in an engineering-led technology, cloud, SaaS, platform or digital-product environment. Strong practical knowledge of SOX 404, ITGCs, IT application controls, automated controls, COSO and COBIT. Demonstrated experience with control design, implementation, monitoring, evidence review, audit readiness, issue evaluation and remediation. Practical understanding of modern technology environments, including cloud infrastructure, IAM, DevOps, CI/CD, SDLC, software repositories, deployment practices, system integrations and container orchestration such as Kubernetes. Experience connecting business-process controls to supporting systems, automated controls, IPEs/IUCs and underlying IT dependencies. The ability to communicate effectively with engineers, technical leaders, Finance stakeholders and external auditors. Strong judgment and the confidence to challenge control owners while developing practical, scalable solutions. A highly autonomous and hands-on approach, with the ability to operate effectively in an evolving environment with incomplete processes and competing priorities. Strong written and verbal English. The ability to work effectively across international time zones and travel when needed to build relationships with key technology and audit stakeholders. It will be an added bonus if you have: A professional certification such as CISA, CRISC, CISM, CIA, CPA or an equivalent qualification. Experience building or materially transforming an IT SOX or technology-controls framework in a listed or pre-IPO technology company. Experience in AI infrastructure, cloud platforms, large-scale SaaS, fintech, marketplaces or another engineering-intensive environment. Experience with GRC and audit-management tools such as Workiva, Jira, ServiceNow GRC or similar platforms. Experience with enterprise SaaS and financial systems such as NetSuite, HR platforms, billing systems, procurement tools or treasury systems. Experience onboarding acquired companies or newly implemented systems into SOX scope. Experience with control automation, continuous monitoring, data analytics or AI-assisted assurance. Exposure to AI governance, AI/ML control environments or controls supporting AI-enabled development and operations. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Spain About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Nebius is seeking a IT Risk & Controls Manager to act as an embedded risk partner to our engineering and technology organizations. You will help scale and strengthen a modern IT SOX and controls framework across Nebius’s custom-built AI cloud platform, infrastructure, corporate technology environment and other systems supporting financial reporting. This role goes beyond traditional IT audit testing. You will work directly with engineering leaders, system owners, Finance, Internal Controls and external auditors to identify risk, design scalable controls, improve evidence quality, drive remediation and embed compliance into the way our technology organizations operate. The successful candidate will combine deep IT risk and controls expertise with meaningful in-house technology experience. You must be equally comfortable discussing technical control design with engineers, explaining risk implications to business leaders and aligning audit expectations with external assurance providers. Your responsibilities will include: Act as the risk and controls partner for an assigned technology organization or system portfolio, developing a detailed understanding of its architecture, operations, risks and financial-reporting dependencies. Own and continuously improve the relevant IT risk and control framework, including system scoping, risk assessment, RCM and control-catalogue maintenance, documentation and control ownership. Lead IT SOX readiness for assigned systems, including walkthrough preparation, evidence-quality review, testing coordination, issue evaluation and remediation oversight. Partner with engineering, platform, infrastructure, security and corporate IT teams to design and implement scalable controls that address risk while supporting operational efficiency. Design, assess and enhance ITGCs across areas such as user access, privileged access, segregation of duties, change management, SDLC, system operations, incident management and third-party services. Assess IT application controls, automated controls and IT-dependent business controls, including the completeness and accuracy of system-generated information used in business-process controls. Evaluate how business controls depend on systems, integrations, configurations, reports and underlying ITGCs, and work with both business and IT control owners to resolve gaps. Apply risk and controls thinking to modern engineering practices, including cloud infrastructure, DevOps, CI/CD, repositories, deployment processes, containerized environments and audit logging. Lead the assessment and remediation of control gaps arising from new systems, major technology transformations, platform changes, integrations and acquisitions. Review third-party assurance reports and determine the impact of vendor controls and complementary user-entity controls on the Nebius control environment. Maintain effective working relationships with external auditors and advisers, aligning on audit scope, evidence expectations, testing approaches, reliance opportunities, timelines and issue resolution. Translate complex technical risks and auditor requirements into practical guidance for engineering and system owners. Use data analytics, automation, continuous monitoring and AI-assisted tools to improve control coverage, evidence quality and the efficiency of the IT SOX program. Contribute to the development of IT controls methodology, standards, tooling, training, reporting and the broader Risk Partner operating model. Provide clear, concise updates on control health, audit readiness, deficiencies and remediation progress to senior technology and Finance stakeholders. We expect you to have: A degree in Information Systems, Computer Science, Engineering, Accounting, Finance or a related discipline, or equivalent professional experience. At least eight years of progressive experience in IT risk, IT controls, IT SOX, technology assurance, IT audit or a closely related area. Meaningful in-house technology or corporate ownership experience is required. Big Four or consulting experience is valuable when combined with subsequent in-house responsibility, but an exclusively advisory or external-audit background will not be sufficient. Experience working in a first-line technology, engineering, systems or IT operations role, or as an embedded in-house risk partner supporting a technology organization. Hands-on experience in an engineering-led technology, cloud, SaaS, platform or digital-product environment. Strong practical knowledge of SOX 404, ITGCs, IT application controls, automated controls, COSO and COBIT. Demonstrated experience with control design, implementation, monitoring, evidence review, audit readiness, issue evaluation and remediation. Practical understanding of modern technology environments, including cloud infrastructure, IAM, DevOps, CI/CD, SDLC, software repositories, deployment practices, system integrations and container orchestration such as Kubernetes. Experience connecting business-process controls to supporting systems, automated controls, IPEs/IUCs and underlying IT dependencies. The ability to communicate effectively with engineers, technical leaders, Finance stakeholders and external auditors. Strong judgment and the confidence to challenge control owners while developing practical, scalable solutions. A highly autonomous and hands-on approach, with the ability to operate effectively in an evolving environment with incomplete processes and competing priorities. Strong written and verbal English. The ability to work effectively across international time zones and travel when needed to build relationships with key technology and audit stakeholders. It will be an added bonus if you have: A professional certification such as CISA, CRISC, CISM, CIA, CPA or an equivalent qualification. Experience building or materially transforming an IT SOX or technology-controls framework in a listed or pre-IPO technology company. Experience in AI infrastructure, cloud platforms, large-scale SaaS, fintech, marketplaces or another engineering-intensive environment. Experience with GRC and audit-management tools such as Workiva, Jira, ServiceNow GRC or similar platforms. Experience with enterprise SaaS and financial systems such as NetSuite, HR platforms, billing systems, procurement tools or treasury systems. Experience onboarding acquired companies or newly implemented systems into SOX scope. Experience with control automation, continuous monitoring, data analytics or AI-assisted assurance. Exposure to AI governance, AI/ML control environments or controls supporting AI-enabled development and operations. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Berlin, Germany About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Nebius is seeking a IT Risk & Controls Manager to act as an embedded risk partner to our engineering and technology organizations. You will help scale and strengthen a modern IT SOX and controls framework across Nebius’s custom-built AI cloud platform, infrastructure, corporate technology environment and other systems supporting financial reporting. This role goes beyond traditional IT audit testing. You will work directly with engineering leaders, system owners, Finance, Internal Controls and external auditors to identify risk, design scalable controls, improve evidence quality, drive remediation and embed compliance into the way our technology organizations operate. The successful candidate will combine deep IT risk and controls expertise with meaningful in-house technology experience. You must be equally comfortable discussing technical control design with engineers, explaining risk implications to business leaders and aligning audit expectations with external assurance providers. Your responsibilities will include: Act as the risk and controls partner for an assigned technology organization or system portfolio, developing a detailed understanding of its architecture, operations, risks and financial-reporting dependencies. Own and continuously improve the relevant IT risk and control framework, including system scoping, risk assessment, RCM and control-catalogue maintenance, documentation and control ownership. Lead IT SOX readiness for assigned systems, including walkthrough preparation, evidence-quality review, testing coordination, issue evaluation and remediation oversight. Partner with engineering, platform, infrastructure, security and corporate IT teams to design and implement scalable controls that address risk while supporting operational efficiency. Design, assess and enhance ITGCs across areas such as user access, privileged access, segregation of duties, change management, SDLC, system operations, incident management and third-party services. Assess IT application controls, automated controls and IT-dependent business controls, including the completeness and accuracy of system-generated information used in business-process controls. Evaluate how business controls depend on systems, integrations, configurations, reports and underlying ITGCs, and work with both business and IT control owners to resolve gaps. Apply risk and controls thinking to modern engineering practices, including cloud infrastructure, DevOps, CI/CD, repositories, deployment processes, containerized environments and audit logging. Lead the assessment and remediation of control gaps arising from new systems, major technology transformations, platform changes, integrations and acquisitions. Review third-party assurance reports and determine the impact of vendor controls and complementary user-entity controls on the Nebius control environment. Maintain effective working relationships with external auditors and advisers, aligning on audit scope, evidence expectations, testing approaches, reliance opportunities, timelines and issue resolution. Translate complex technical risks and auditor requirements into practical guidance for engineering and system owners. Use data analytics, automation, continuous monitoring and AI-assisted tools to improve control coverage, evidence quality and the efficiency of the IT SOX program. Contribute to the development of IT controls methodology, standards, tooling, training, reporting and the broader Risk Partner operating model. Provide clear, concise updates on control health, audit readiness, deficiencies and remediation progress to senior technology and Finance stakeholders. We expect you to have: A degree in Information Systems, Computer Science, Engineering, Accounting, Finance or a related discipline, or equivalent professional experience. At least eight years of progressive experience in IT risk, IT controls, IT SOX, technology assurance, IT audit or a closely related area. Meaningful in-house technology or corporate ownership experience is required. Big Four or consulting experience is valuable when combined with subsequent in-house responsibility, but an exclusively advisory or external-audit background will not be sufficient. Experience working in a first-line technology, engineering, systems or IT operations role, or as an embedded in-house risk partner supporting a technology organization. Hands-on experience in an engineering-led technology, cloud, SaaS, platform or digital-product environment. Strong practical knowledge of SOX 404, ITGCs, IT application controls, automated controls, COSO and COBIT. Demonstrated experience with control design, implementation, monitoring, evidence review, audit readiness, issue evaluation and remediation. Practical understanding of modern technology environments, including cloud infrastructure, IAM, DevOps, CI/CD, SDLC, software repositories, deployment practices, system integrations and container orchestration such as Kubernetes. Experience connecting business-process controls to supporting systems, automated controls, IPEs/IUCs and underlying IT dependencies. The ability to communicate effectively with engineers, technical leaders, Finance stakeholders and external auditors. Strong judgment and the confidence to challenge control owners while developing practical, scalable solutions. A highly autonomous and hands-on approach, with the ability to operate effectively in an evolving environment with incomplete processes and competing priorities. Strong written and verbal English. The ability to work effectively across international time zones and travel when needed to build relationships with key technology and audit stakeholders. It will be an added bonus if you have: A professional certification such as CISA, CRISC, CISM, CIA, CPA or an equivalent qualification. Experience building or materially transforming an IT SOX or technology-controls framework in a listed or pre-IPO technology company. Experience in AI infrastructure, cloud platforms, large-scale SaaS, fintech, marketplaces or another engineering-intensive environment. Experience with GRC and audit-management tools such as Workiva, Jira, ServiceNow GRC or similar platforms. Experience with enterprise SaaS and financial systems such as NetSuite, HR platforms, billing systems, procurement tools or treasury systems. Experience onboarding acquired companies or newly implemented systems into SOX scope. Experience with control automation, continuous monitoring, data analytics or AI-assisted assurance. Exposure to AI governance, AI/ML control environments or controls supporting AI-enabled development and operations. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Remote - United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Nebius is seeking a IT Risk & Controls Manager to act as an embedded risk partner to our engineering and technology organizations. You will help scale and strengthen a modern IT SOX and controls framework across Nebius’s custom-built AI cloud platform, infrastructure, corporate technology environment and other systems supporting financial reporting. This role goes beyond traditional IT audit testing. You will work directly with engineering leaders, system owners, Finance, Internal Controls and external auditors to identify risk, design scalable controls, improve evidence quality, drive remediation and embed compliance into the way our technology organizations operate. The successful candidate will combine deep IT risk and controls expertise with meaningful in-house technology experience. You must be equally comfortable discussing technical control design with engineers, explaining risk implications to business leaders and aligning audit expectations with external assurance providers. Your responsibilities will include: Act as the risk and controls partner for an assigned technology organization or system portfolio, developing a detailed understanding of its architecture, operations, risks and financial-reporting dependencies. Own and continuously improve the relevant IT risk and control framework, including system scoping, risk assessment, RCM and control-catalogue maintenance, documentation and control ownership. Lead IT SOX readiness for assigned systems, including walkthrough preparation, evidence-quality review, testing coordination, issue evaluation and remediation oversight. Partner with engineering, platform, infrastructure, security and corporate IT teams to design and implement scalable controls that address risk while supporting operational efficiency. Design, assess and enhance ITGCs across areas such as user access, privileged access, segregation of duties, change management, SDLC, system operations, incident management and third-party services. Assess IT application controls, automated controls and IT-dependent business controls, including the completeness and accuracy of system-generated information used in business-process controls. Evaluate how business controls depend on systems, integrations, configurations, reports and underlying ITGCs, and work with both business and IT control owners to resolve gaps. Apply risk and controls thinking to modern engineering practices, including cloud infrastructure, DevOps, CI/CD, repositories, deployment processes, containerized environments and audit logging. Lead the assessment and remediation of control gaps arising from new systems, major technology transformations, platform changes, integrations and acquisitions. Review third-party assurance reports and determine the impact of vendor controls and complementary user-entity controls on the Nebius control environment. Maintain effective working relationships with external auditors and advisers, aligning on audit scope, evidence expectations, testing approaches, reliance opportunities, timelines and issue resolution. Translate complex technical risks and auditor requirements into practical guidance for engineering and system owners. Use data analytics, automation, continuous monitoring and AI-assisted tools to improve control coverage, evidence quality and the efficiency of the IT SOX program. Contribute to the development of IT controls methodology, standards, tooling, training, reporting and the broader Risk Partner operating model. Provide clear, concise updates on control health, audit readiness, deficiencies and remediation progress to senior technology and Finance stakeholders. We expect you to have: A degree in Information Systems, Computer Science, Engineering, Accounting, Finance or a related discipline, or equivalent professional experience. At least eight years of progressive experience in IT risk, IT controls, IT SOX, technology assurance, IT audit or a closely related area. Meaningful in-house technology or corporate ownership experience is required. Big Four or consulting experience is valuable when combined with subsequent in-house responsibility, but an exclusively advisory or external-audit background will not be sufficient. Experience working in a first-line technology, engineering, systems or IT operations role, or as an embedded in-house risk partner supporting a technology organization. Hands-on experience in an engineering-led technology, cloud, SaaS, platform or digital-product environment. Strong practical knowledge of SOX 404, ITGCs, IT application controls, automated controls, COSO and COBIT. Demonstrated experience with control design, implementation, monitoring, evidence review, audit readiness, issue evaluation and remediation. Practical understanding of modern technology environments, including cloud infrastructure, IAM, DevOps, CI/CD, SDLC, software repositories, deployment practices, system integrations and container orchestration such as Kubernetes. Experience connecting business-process controls to supporting systems, automated controls, IPEs/IUCs and underlying IT dependencies. The ability to communicate effectively with engineers, technical leaders, Finance stakeholders and external auditors. Strong judgment and the confidence to challenge control owners while developing practical, scalable solutions. A highly autonomous and hands-on approach, with the ability to operate effectively in an evolving environment with incomplete processes and competing priorities. Strong written and verbal English. The ability to work effectively across international time zones and travel when needed to build relationships with key technology and audit stakeholders. It will be an added bonus if you have: A professional certification such as CISA, CRISC, CISM, CIA, CPA or an equivalent qualification. Experience building or materially transforming an IT SOX or technology-controls framework in a listed or pre-IPO technology company. Experience in AI infrastructure, cloud platforms, large-scale SaaS, fintech, marketplaces or another engineering-intensive environment. Experience with GRC and audit-management tools such as Workiva, Jira, ServiceNow GRC or similar platforms. Experience with enterprise SaaS and financial systems such as NetSuite, HR platforms, billing systems, procurement tools or treasury systems. Experience onboarding acquired companies or newly implemented systems into SOX scope. Experience with control automation, continuous monitoring, data analytics or AI-assisted assurance. Exposure to AI governance, AI/ML control environments or controls supporting AI-enabled development and operations. #LI-DY1 Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $120,000 — $180,000 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Amsterdam, Netherlands About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Nebius is seeking a IT Risk & Controls Manager to act as an embedded risk partner to our engineering and technology organizations. You will help scale and strengthen a modern IT SOX and controls framework across Nebius’s custom-built AI cloud platform, infrastructure, corporate technology environment and other systems supporting financial reporting. This role goes beyond traditional IT audit testing. You will work directly with engineering leaders, system owners, Finance, Internal Controls and external auditors to identify risk, design scalable controls, improve evidence quality, drive remediation and embed compliance into the way our technology organizations operate. The successful candidate will combine deep IT risk and controls expertise with meaningful in-house technology experience. You must be equally comfortable discussing technical control design with engineers, explaining risk implications to business leaders and aligning audit expectations with external assurance providers. Your responsibilities will include: Act as the risk and controls partner for an assigned technology organization or system portfolio, developing a detailed understanding of its architecture, operations, risks and financial-reporting dependencies. Own and continuously improve the relevant IT risk and control framework, including system scoping, risk assessment, RCM and control-catalogue maintenance, documentation and control ownership. Lead IT SOX readiness for assigned systems, including walkthrough preparation, evidence-quality review, testing coordination, issue evaluation and remediation oversight. Partner with engineering, platform, infrastructure, security and corporate IT teams to design and implement scalable controls that address risk while supporting operational efficiency. Design, assess and enhance ITGCs across areas such as user access, privileged access, segregation of duties, change management, SDLC, system operations, incident management and third-party services. Assess IT application controls, automated controls and IT-dependent business controls, including the completeness and accuracy of system-generated information used in business-process controls. Evaluate how business controls depend on systems, integrations, configurations, reports and underlying ITGCs, and work with both business and IT control owners to resolve gaps. Apply risk and controls thinking to modern engineering practices, including cloud infrastructure, DevOps, CI/CD, repositories, deployment processes, containerized environments and audit logging. Lead the assessment and remediation of control gaps arising from new systems, major technology transformations, platform changes, integrations and acquisitions. Review third-party assurance reports and determine the impact of vendor controls and complementary user-entity controls on the Nebius control environment. Maintain effective working relationships with external auditors and advisers, aligning on audit scope, evidence expectations, testing approaches, reliance opportunities, timelines and issue resolution. Translate complex technical risks and auditor requirements into practical guidance for engineering and system owners. Use data analytics, automation, continuous monitoring and AI-assisted tools to improve control coverage, evidence quality and the efficiency of the IT SOX program. Contribute to the development of IT controls methodology, standards, tooling, training, reporting and the broader Risk Partner operating model. Provide clear, concise updates on control health, audit readiness, deficiencies and remediation progress to senior technology and Finance stakeholders. We expect you to have: A degree in Information Systems, Computer Science, Engineering, Accounting, Finance or a related discipline, or equivalent professional experience. At least eight years of progressive experience in IT risk, IT controls, IT SOX, technology assurance, IT audit or a closely related area. Meaningful in-house technology or corporate ownership experience is required. Big Four or consulting experience is valuable when combined with subsequent in-house responsibility, but an exclusively advisory or external-audit background will not be sufficient. Experience working in a first-line technology, engineering, systems or IT operations role, or as an embedded in-house risk partner supporting a technology organization. Hands-on experience in an engineering-led technology, cloud, SaaS, platform or digital-product environment. Strong practical knowledge of SOX 404, ITGCs, IT application controls, automated controls, COSO and COBIT. Demonstrated experience with control design, implementation, monitoring, evidence review, audit readiness, issue evaluation and remediation. Practical understanding of modern technology environments, including cloud infrastructure, IAM, DevOps, CI/CD, SDLC, software repositories, deployment practices, system integrations and container orchestration such as Kubernetes. Experience connecting business-process controls to supporting systems, automated controls, IPEs/IUCs and underlying IT dependencies. The ability to communicate effectively with engineers, technical leaders, Finance stakeholders and external auditors. Strong judgment and the confidence to challenge control owners while developing practical, scalable solutions. A highly autonomous and hands-on approach, with the ability to operate effectively in an evolving environment with incomplete processes and competing priorities. Strong written and verbal English. The ability to work effectively across international time zones and travel when needed to build relationships with key technology and audit stakeholders. It will be an added bonus if you have: A professional certification such as CISA, CRISC, CISM, CIA, CPA or an equivalent qualification. Experience building or materially transforming an IT SOX or technology-controls framework in a listed or pre-IPO technology company. Experience in AI infrastructure, cloud platforms, large-scale SaaS, fintech, marketplaces or another engineering-intensive environment. Experience with GRC and audit-management tools such as Workiva, Jira, ServiceNow GRC or similar platforms. Experience with enterprise SaaS and financial systems such as NetSuite, HR platforms, billing systems, procurement tools or treasury systems. Experience onboarding acquired companies or newly implemented systems into SOX scope. Experience with control automation, continuous monitoring, data analytics or AI-assisted assurance. Exposure to AI governance, AI/ML control environments or controls supporting AI-enabled development and operations. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: New York, New York, United States About the Role iCapital’s Distributed Ledger Technology team is looking to hire a Senior Blockchain Backend Engineer to develop an industry-wide distributed ledger solution for the alternative investment ecosystem to facilitate access to private markets investments for advisors and their high-net-worth clients using innovative technology solutions. The ideal candidate is able to understand complex business problems, scope projects, identify business opportunities, optimize workflows, and communicate their findings across all levels of the organization. This role is highly visible and involves working closely with other teams in Engineering, Product, senior leadership, and industry partners. Responsibilities Design and implement a private and permissioned distributed ledger using DAML or Canton and other open source blockchain frameworks. Build and maintain a RESTful API using Python and FastAPI. Provide technical leadership to motivate and guide team members and mentor junior engineers. PArticipate in daily stand-up meetings and peer code reviews as part of the standard SDLC. Stay current with the latest developments in blockchain technology and incorporate them into the iCapital ecosystem. Qualifications 9+ years software engineering experience building enterprise SaaS cloud-based solutions 3+ year technical leadership and management experience Experience with DAML, Solidity, or other blockchain programing languages Experience with Python, Toke and FastAPI Demonstrated understanding of relational database concepts and modeling practices Experience building APIs for large scale applications using AWS Benefits The base salary range for this role is $150,000 to $200,000.  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO). We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday. For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/ iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Location: New York, New York; New York City Metropolitan Area; New Jersey; Connecticut; San Francisco Bay Area, California Workplace: remote About the role: At Provectus, you don’t prototype in a sandbox and hand a client a slide deck. You embed inside a bank, an insurer, or a health system, learn the work, and ship a Claude + AWS system into their real, regulated production — then you watch the business number move. We’re an Anthropic and AWS Partner with 150+ certified architects. That means the newest models, real budgets, and problems that matter — without the layers, politics, and years-to-impact of a hundred-thousand-person firm. 350+ builders, 100+ customers in production, founder-led since 2010, offices across North America, LATAM, and EMEA. Why Provectus Frontier access — Anthropic Preferred Partner: newest Claude models, real budgets, real problems Real tasks (not scope), real deployment. You go where the operating problem is and ship production code to real users, not slide decks that sit in a drive Embedded, not engaged. You are part of the customer’s team and inside their process — not a vendor running a project alongside it. Embedded is not staff-augmented Autonomous. You own the work from framing through to production, visible to clients and founders.  You own the method; nobody hands you a ticket Your experience stays portable. Every engagement is a new problem, often in a new industry, so your skills compound instead of narrowing to one product. No legacy-maintenance grind, not a single stack Craft & growth — build beside senior FDEs on a Claude-certified team; a real platform (talks, OSS) to grow your name We give you a stage: Claude certification, conference talks, open-source contributions, published work under your own name What You’ll Do: Spend the first weeks of each engagement in the operator’s seat, learning the constraints from the inside, then rebuild the function from first principles alongside the client and a Forward Deployed Executive — and you are the one who builds it Be part of the customer’s team, inside their process; work on real tasks, not scoped deliverables, and own the method autonomously You won’t start from zero. Provectus builds industry Blueprints — working systems that have already shipped for a customer in your industry. Your engagement starts from that baseline, and what you learn in the field goes back into it Deliver across Cowork Activation, Agentic SDLC, and Blueprint Activations in Financial Services and Healthcare Help shape how leading enterprises adopt AI, from strategy through first deployment; help build the tooling and frameworks of a growing AI delivery practice What We Look For: Typically 7+ years building software, a substantial share of it writing production code you were accountable for. You are hands-on today and intend to stay that way Genuinely willing to spend time understanding someone else’s job before writing code; demonstrated ability to become conversant in an unfamiliar business function quickly Shipped GenAI/LLM systems to production — not demos, not notebooks. You’ve handled the parts that get hard after the prototype works You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured and why Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack Cloud-native delivery on AWS (GCP/Azure a plus), including the operational reality of a system someone else inherits Pre-sales experience. Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO without losing either room Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job Hands-on experience with Claude, Claude Code, and Cowork (skills, workflows, MCP, integrations, connectors, custom harnesses) Nice to have: Containers and orchestration (Kubernetes/ECS) and CI/CD in production IaC depth: AWS CDK, CloudFormation, Terraform Open-source contributions or public writing on applied AI What We Offer: Full-time employment On-site visits to clients’ facilities and our office in NYC 1/week Unlimited Vacation policy Generous health, vision, and dental insurance 401(K) matching plan Base salary $180k–$200k + bonuses; OTE up to $250k. The salary range is determined through interviews and a review of the education, experience, knowledge, skills, and abilities of the applicant, and alignment with market data No Visa sponsorship How We Hire: Recruitment interview. Tech interview with our FDE (30 min). A live engineering building session (1.5 hours). We hand you a business function and the constraints. You have to understand the job and rebuild it — then say what you’d build and how you’d know it worked. Use AI the way you normally would; we expect AI-generated code. What we look at is how you used AI, the judgment behind your choices, and what you researched beyond what any LLM already knows. 4. Soft skills interview. 5. Offer discussion. We’re real: A person reads your application. We filter out AI-generated and fraudulent submissions automatically. Every application that clears that filter is read by someone on our team We may ask for a quick ID verification. Fraudulent applications are common, and this protects real candidates You’ll meet the people you’d work with. We host AI engineering events in New York and San Francisco. We'd be happy to talk in person. Your interviews are with Pavel Borobov, Solutions Architect, and Stepan Pushkarev, Co-Founder & CEO

Location: New York Workplace: remote About the role: We’re an Anthropic and AWS Partner with 150+ certified architects. That means the newest models, real budgets, and problems that matter — without the layers, politics, and years-to-impact of a hundred-thousand-person firm. 350+ builders, 100+ customers in production, founder-led since 2010, offices across North America, LATAM, and EMEA. Why Provectus Frontier access — Anthropic Preferred Partner: newest Claude models, real budgets, real problems Real tasks (not scope), real deployment. You go where the operating problem is and ship production code to real users, not slide decks that sit in a drive Embedded, not engaged. You are part of the customer’s team and inside their process — not a vendor running a project alongside it. Embedded is not staff-augmented Autonomous. You own the work from framing through to production, visible to clients and founders.  You own the method; nobody hands you a ticket Your experience stays portable. Every engagement is a new problem, often in a new industry, so your skills compound instead of narrowing to one product. No legacy-maintenance grind, not a single stack Craft & growth — build beside senior FDEs on a Claude-certified team; a real platform (talks, OSS) to grow your name We give you a stage: Claude certification, conference talks, open-source contributions, published work under your own name What You’ll Do: Spend the first weeks of each engagement in the operator’s seat, learning the constraints from the inside, then rebuild the function from first principles alongside the client and a Forward Deployed Executive — and you are the one who builds it Be part of the customer’s team, inside their process; work on real tasks, not scoped deliverables, and own the method autonomously You won’t start from zero. Provectus builds industry Blueprints — working systems that have already shipped for a customer in your industry. Your engagement starts from that baseline, and what you learn in the field goes back into it Deliver across Cowork Activation, Agentic SDLC, and Blueprint Activations in Financial Services and Healthcare Help shape how leading enterprises adopt AI, from strategy through first deployment; help build the tooling and frameworks of a growing AI delivery practice What We Look For: Typically 7+ years building software, a substantial share of it writing production code you were accountable for. You are hands-on today and intend to stay that way Genuinely willing to spend time understanding someone else’s job before writing code; demonstrated ability to become conversant in an unfamiliar business function quickly Shipped GenAI/LLM systems to production — not demos, not notebooks. You’ve handled the parts that get hard after the prototype works You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured and why Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack Cloud-native delivery on AWS (GCP/Azure a plus), including the operational reality of a system someone else inherits Pre-sales experience. Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO without losing either room Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job Hands-on experience with Claude, Claude Code, and Cowork (skills, workflows, MCP, integrations, connectors, custom harnesses) Nice to have: Containers and orchestration (Kubernetes/ECS) and CI/CD in production IaC depth: AWS CDK, CloudFormation, Terraform Open-source contributions or public writing on applied AI What We Offer: Full-time employment On-site visits to clients’ facilities and our office in NYC 1/week Unlimited Vacation policy Generous health, vision, and dental insurance 401(K) matching plan Base salary $180k–$200k + bonuses; OTE up to $250k. The salary range is determined through interviews and a review of the education, experience, knowledge, skills, and abilities of the applicant, and alignment with market data No Visa sponsorship How we hire: Recruitment interview. Tech interview with our FDE (30 min). A live engineering building session (1.5 hours). We hand you a business function and the constraints. You have to understand the job and rebuild it — then say what you’d build and how you’d know it worked. Use AI the way you normally would; we expect AI-generated code. What we look at is how you used AI, the judgment behind your choices, and what you researched beyond what any LLM already knows. 4. Soft skills interview. 5. Offer discussion. We’re real: A person reads your application. We filter out AI-generated and fraudulent submissions automatically. Every application that clears that filter is read by someone on our team We may ask for a quick ID verification. Fraudulent applications are common, and this protects real candidates You’ll meet the people you’d work with. We host AI engineering events in New York and San Francisco. We'd be happy to talk in person. Your interviews are with Pavel Borobov, Solutions Architect, and Stepan Pushkarev, Co-Founder & CEO

Location: Yerevan, Armenia Position Summary We are looking for an experienced Senior Automation QA Engineer to join our Quality Engineering team. In this role, you will be responsible for ensuring the quality, reliability, and performance of our products by designing, developing, and maintaining scalable automation solutions. You will work closely with Software Engineers, Product Managers, and QA Engineers while contributing to automation strategy, quality improvements, and engineering best practices. Responsibilities Develop, maintain, and improve backend automated tests using C#/.NET Develop and maintain frontend automated tests using Playwright (JavaScript/TypeScript) Design and execute automated API, UI, integration, and regression test suites Validate REST APIs, WebSocket services, and database data Design, execute, and maintain performance and load tests using JMeter Create, maintain, and manage test data for automation and testing activities Collaborate closely with Manual QA Engineers and Software Engineers throughout the SDLC Participate in test planning, estimation, test strategy, and test case design Maintain and manage test cases using TestRail Track defects and collaborate with development teams using Jira Utilize AI tools to improve QA processes, productivity, and test automation workflows Create and maintain AI helper agents to support testing activities Continuously improve automation frameworks, testing processes, and quality standards Requirements 3+ years of experience in Automation Quality Assurance Strong understanding of QA processes, SDLC, and STLC Experience working in Agile/Scrum environments Strong analytical, problem-solving, and debugging skills Ability to work independently and collaboratively within cross-functional teams Proficiency in technical English Mentorship experience is considered a plus Technical Skills Strong experience with C#/.NET for backend automation Hands-on experience with Playwright using JavaScript or TypeScript Strong understanding of Object-Oriented Programming (OOP) principles Experience with automation frameworks such as NUnit or MsTest Hands-on experience with REST API and WebSocket automation Strong SQL knowledge, including complex queries, joins, and data validation Experience with JMeter for performance and load testing Experience with API testing tools such as Postman Experience with debugging/proxy tools such as Charles Proxy or Fiddler Good understanding of Git version control Experience with TestRail or similar test management systems Experience with Jira or similar project management tools Experience using AI tools (e.g., ChatGPT, GitHub Copilot, Claude, Gemini) in QA processes Experience creating and utilizing AI helper agents for QA activities

Location: Remote - U.S. About Airship Airship is trusted by world’s leading brands such as Alaska Airlines, BBC and The Home Depot to drive revenue growth and customer loyalty with exceptional cross-channel customer experiences. Today, brands are challenged to deliver seamless, unified customer experiences across a fragmented array of channels and devices— apps, websites, email, SMS, wallets and more. Airship’s no-code, AI-powered platform was designed with non-technical, growth-focused teams in mind, making it easy to create, test and orchestrate hyper-personalized experiences across all channels. With the ability to easily enrich customer data and rapidly launch growth experiments, Airship enables brands to deliver consistent, meaningful interactions that accelerate conversion and foster deeper customer relationships. We invite you to be part of our journey in building products and delivering services that touch millions of customers around the world every day. To learn more about us, visit www.airship.com , read our blog or follow us on LinkedIn. About the Role Airship is looking for an Information Security Architect to own the design and evolution of our security architecture across cloud infrastructure, applications, and the CI/CD pipeline. You'll be Airship's technical authority on secure-by-design systems, partnering with Engineering, Platform, and Product teams to embed security into every phase of the development lifecycle. This is a hands-on architecture role. You'll conduct threat modeling, perform architecture reviews, define security standards and reference architectures, and drive secure design patterns across Airship's GCP-based environment. You'll also evaluate emerging technologies, including AI and generative AI platforms, to identify security risks and define secure adoption patterns. Why This Role Depth over breadth. You'll focus on what matters most: securing Airship's cloud infrastructure and CI/CD pipelines, conducting threat modeling, and shaping architecture decisions GCP at the core. Airship runs on Google Cloud Platform. You'll work deeply with GCP-native security capabilities, defining guardrails, segmentation patterns, logging standards, and workload protection across the platform Secure the pipeline, secure the product. CI/CD pipeline security is a primary focus. You'll design and implement controls that protect the software delivery lifecycle from code commit through production deployment AI-forward security. You'll evaluate and secure AI and GenAI platforms, define usage patterns for AI-assisted development tools, and help establish security architecture for Airship's AI-enabled features Fully remote, flexible culture. Airship's Digital First approach means flexible, remote work is the norm, with a team that collaborates across timezones and geographies every day Room to grow. This role is a path toward senior security architecture, security leadership, or deeper cloud security specialization What You'll Do* Design, develop, and maintain Airship's security architecture, including reference architectures, secure design patterns, and technical security standards Perform security architecture reviews for enterprise applications, cloud platforms, infrastructure services, and technology integrations, ensuring alignment with security standards and risk posture Conduct threat modeling and technical risk assessments to identify security gaps and recommend mitigation strategies Define and implement cloud security guardrails, network segmentation patterns, logging standards, and access control models across Airship's GCP environment Partner with Engineering and DevOps teams to integrate security controls into the CI/CD pipeline, including secure build processes, container security, Infrastructure-as-Code (IaC) security, secrets management, and software supply chain integrity Evaluate proposed architecture and design changes from engineering teams, analyze their security impact, and make recommendations Assess emerging technologies (including AI platforms, generative AI tools, and AI-assisted development technologies) to identify security risks and define secure usage patterns Develop security guidance for API security, application authentication (SAML, OAuth2), encryption, and identity and access management Research security trends, emerging attack methods, and new classes of vulnerabilities to proactively reduce the risk of breach Leverage AI-enabled tools and automation to improve security analysis, architecture review workflows, and threat detection Partner with security tooling teams to evaluate enterprise security tools for architectural fit, integration models, and long-term scalability Participate in the Security on-call rotation and respond to incidents Provide technical security guidance for complex customer inquiries that require deep architectural expertise Mentor colleagues across the organization on secure design principles and security best practices *Duties described are not a comprehensive list. Additional tasks may be assigned from time to time, and responsibilities may be amended at any time at the sole discretion of the Employer. What We're Looking For 8+ years of experience in information security, security architecture, cloud security engineering, or a related technical discipline Deep expertise in Google Cloud Platform (GCP) security, including native security capabilities, cloud architecture patterns, and workload protection Hands-on experience securing CI/CD pipelines, including container security, IaC security, secrets management, and DevSecOps practices Experience conducting threat modeling for complex, distributed systems using standard methodologies Experience performing security architecture and design reviews for cloud-native applications and infrastructure Proficiency in at least one scripting language (e.g., Python, Java, Bash/shell) Working knowledge of network security concepts, including segmentation, Zero Trust principles, firewalls, and access control models Working knowledge of identity and access management concepts, including SSO, MFA, federation, and least-privilege access Strong understanding of application security, including OWASP, API security, secure SDLC practices, and authentication protocols (SAML, OAuth2) Working knowledge of how to protect and administer macOS, Linux, and Windows systems Ability to translate security requirements into practical, scalable technical solutions Strong written and verbal communication skills, with a talent for explaining complex security concepts to both technical and non-technical audiences Experience experimenting with AI tools in your personal or professional life We'd Be Delighted If You Also Have One or more industry certifications (e.g., CISSP, CCSP, Google Cloud Professional Security Engineer, OSCP, GIAC certifications) Experience with enterprise security technologies such as Splunk, CrowdStrike, Rapid7, Vanta, Okta, and DLP solutions Familiarity with AI security concepts, secure AI platform adoption, and AI risk frameworks (e.g., NIST AI RMF, ISO 42001) Experience developing security reference architectures, design patterns, and technical standards documentation Experience with Kubernetes security, container orchestration, and cloud-native security tooling (CSPM, CWPP) Knowledge of data security practices including encryption, data classification, DLP, and key management Experience evaluating third-party technologies and conducting technical security assessments for vendor platforms Work Location & Travel Requirements Airship’s ‘Digital First’ approach to work means that for the majority of our roles, work can be performed remotely, either some or most of the time. Airship believes that flexible work contributes to a more productive and more equitable work environment, and that Airshippers are able to collaborate, innovate, and support one another across different locations and timezones. Some roles may require that employees perform their work from a specific location to support business activities, and/or be within proximity to an Airship office location or customer or partner locations, while other roles can be performed 100% remotely. This position is fully remote and may require up to 10% travel based on business needs or as requested by your manager. Compensation Starting Pay Range: $130,000-$160,000 USD per year This is a good faith estimate of the base compensation we reasonably expect to pay for this position upon hire. Actual starting pay may vary based on factors such as relevant skills, work experience, market demands, and location. All offers include stock options so employees have the opportunity to benefit from Airship’s success. Benefits & Perks Competitive medical, dental, and vision insurance options for you and your dependents Flexible time off, company paid holidays, paid parental leave, and paid volunteer time off Support for your overall wellbeing with mental health and wellness resources Employer-subsidized life insurance as well as short-term and long-term disability A digital-first work environment and a monthly stipend to support remote work Mentorship and growth opportunities to build skills and accelerate professional development And more! We use artificial intelligence tools in our recruitment process as decision-support tools only. Airship's People Operations team reviews all AI-generated scores and recommendations before making any hiring determination. No applicant is rejected solely on the basis of an AI-generated output. Depending on your location, you may have the right to request human review of any AI-assisted employment decision or to opt out of AI evaluation. To make a request or learn more about how we use AI in hiring, contact privacy@airship.com or visit airship.com/legal . California residents can view the CCPA disclosure notice here . ** Please Note: To ensure the security of your personal information, Airship will only contact candidates through email addresses ending with “@airship.com”. Hiring Commitment Airship is committed to fostering a diverse work environment and providing equal employment opportunities to all applicants and employees. We welcome your application and our hiring and employment decisions are made irrespective of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. In alignment with our commitment to equal opportunity, Airship will consider for employment all qualified applicants, including those with criminal histories, in a way that adheres to the principles of fairness and the requirements of local Fair Chance laws, where applicable. By submitting this application, I affirm that the facts set forth in it are true and complete to the best of my knowledge. I understand that if I am employed, false statements, omissions, or misleading information given in my application, interview(s), or in a background check may result in dismissal.

Location: US Coherent Solutions builds custom software for enterprises and high-growth companies. Founded in 1995, we have 1,700+ people across 10 countries, serving clients in fitness & wellness, healthcare, fintech, manufacturing, and technology. Our model combines local client leadership with global engineering teams across Europe and Latin America. We are investing heavily in AI and modern software delivery via initiatives like Coherent Catalyst , and we expect our client-facing teams to lead those conversations with customers. About the Role This is a pure hunter role. You carry a quota, and your primary responsibility is winning new enterprise clients through your own prospecting, BDR introductions, inbound leads, partner referrals, and your professional network. Once a new account is closed, you will work closely with our delivery management teams to grow it into a long-term, strategic relationship. You will engage with buyers ranging from directors to C-suite executives and navigating complex, multi-disciplinary decision processes. The services market is changing rapidly; AI is reshaping how software gets built, delivered, and priced. The expectation for this role is to understand these shifts and discuss them confidently with executive buyers. You don’t need to be an AI engineer, but you must understand where the market is heading and connect those changes to how it impacts a client’s growth, efficiency, risk, and bottom line. What You'll Do Own the full sales cycle: Prospect, qualify, shape the solution with delivery, negotiate, and close net-new business; Win new logos and establish the foundation to expand the strategic accounts you win; Lead commercial strategy for SOWs, master services agreements (MSAs), pricing, and contracts; Run RFI/RFP responses and tailored proposals in tight collaboration with engineering and delivery teams; Build and manage a healthy pipeline with highly accurate forecasting in Salesforce; Partner with marketing on targeted Account-Based Marketing (ABM) campaigns and regional events; Represent Coherent at major industry events and face-to-face client meetings; What We’re Looking For 6+ years of selling custom software engineering, digital product services, or IT consulting; A proven track record of hunting and winning new enterprise clients with multi-year, multi-discipline services engagements; Comfort selling to C-suite and VP buyers, with the ability to confidently articulate how modern AI-driven development models accelerate time-to-market; Deep working knowledge of the SDLC, global distributed delivery models, and agile consulting; Experience working with distributed global delivery teams (specifically leveraging talent pools in Europe and Latin America); Stability matters to us. Enterprise services relationships take years to build, and we want the same commitment from our people. A history of multi-year tenures will carry significantly more weight than a long list of short-term logos; Minnesota preferred; WI, IL, or East Coast considered; What Do We Offer Base salary from $130K to $165K plus uncapped commission and performance bonuses ; Performance-based equity awards; Comprehensive health, dental, and vision insurance; 401(k) matching and generous PTO policy; Travel: Approximately 20-30% for strategic client meetings, industry conferences, and internal executive planning.

Location: Paris 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. Role summary   As a Product Security Engineer within the Cybersecurity organization, you will be the dedicated security partner for one or more product organizations (such as Vibe, Studio or Forge). You will work alongside engineers, researchers and product managers to ensure security is built into every stage of the product lifecycle—from early design and architecture decisions through implementation, production deployment and continuous evolution. Your mission is to help engineering teams build secure products without slowing them down. Rather than acting as a gatekeeper, you will enable teams to make sound security decisions through secure-by-design principles, pragmatic engineering guidance and scalable security automation. You will own the Product Security strategy for your product portfolio, influence engineering decisions, and help define how secure software is built across one of the world's leading AI companies.   What you will do   - Serve as the dedicated Product Security partner for one or more product organizations. - Drive security throughout the entire product lifecycle, from design and architecture reviews to production deployment and ongoing operation. - Lead threat modeling, security architecture reviews and risk assessments for new features, APIs and major architectural changes. - Define pragmatic security requirements and secure-by-default patterns that enable engineering teams to ship safely at high velocity for a specific product. - Review critical designs and code, focusing on authentication, authorization, tenant isolation, data protection, cryptography and other high-impact security controls. - Design product-specific security validation strategies, including targeted testing, abuse-case development and guided agent-based security assessments tailored to each product's architecture and workflows. - Partner with engineering teams to prioritize and remediate vulnerabilities identified through code reviews, penetration testing, bug bounty programs and automated security testing. - Collaborate with Security Engineering to improve reusable security platforms, developer guardrails and security capabilities integrated into the SDLC. - Champion secure software engineering through coaching, technical leadership, reusable design patterns and Security Champion programs. - Define Product Security metrics, continuously improve the security posture of your products and help shape Product Security practices across the company. What we're looking for: - 5+ years of experience in Product Security, Application Security or Software Engineering with a strong security focus. - Strong understanding of modern software architecture, distributed systems, APIs and cloud-native applications. - Demonstrated experience performing threat modeling, architecture reviews and secure design assessments. - Deep understanding of modern software security, including authentication, authorization, cryptography, secrets management, tenant isolation, secure data flows and common vulnerability classes (OWASP Top 10, CWE). - Strong software engineering skills in Python, Go, TypeScript or similar languages, with the ability to review production code and build security automation. - Experience with application security testing techniques, including manual code review, penetration testing, bug bounty programs. - Experience designing product-specific security testing approaches, including security automation or agent-based testing, is highly valued. - Strong understanding of Secure SDLC principles from product design through production deployment and long-term maintenance. - Excellent communication and influencing skills, with the ability to earn trust across engineering organizations and balance security, product delivery and developer experience. - A pragmatic, engineering-first mindset with strong technical judgment and a focus on solving meaningful security problems. 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: Spain; Serbia; Poland; Ukraine; Portugal; North Macedonia; Bosnia and Herzegovina; Romania Workplace: remote About Provectus Provectus is an AWS Premier Partner and an Anthropic Strategic Partner, working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide.   Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture.   Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements. Where this role sits You will work in a small, senior pod alongside an FDE and an FDX, Forward Deployed Executives (FDX) own the commercial relationship and the business outcome. Works alongside the client's leadership or C-suite level to move the client's KPIs. Forward Deployed Engineers (FDE) embed with a client, map the client workflow, identify the business problem underneath it, design and build a working AI solution, present to the client, and transfer the knowledge to the client's team. Owns technical direction of the whole solution. Senior AI Engineer. When an FDE comes back from the client with the business problem, you will help turn that into an agentic system that runs in production and will be responsible for evaluation, observability, and guardrails.  You'll have real ownership of components and of the technical decisions inside them. Requirements: Mindset Proactive and self-directed; you push for clarity rather than waiting for a ticket Excellent communication and problem-solving skills Comfort with ambiguity and ownership. B2+ English, comfortable collaborating across distributed, multicultural teams. Technical depth 5+ years in software or ML engineering, with production systems you were accountable for . Solid AI/ML foundations. You understand what the models do well enough to reason about failure modes. Shipped to production LLM applications and agentic workflows — not demos, not POCs, not notebooks. Agentic orchestration: multi-step workflows, graph-based orchestration, tool use, state management, and recovery from partial failure Experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) and agent frameworks. Experience building and optimizing RAG systems in production. Strong engineering fundamentals. Full-stack mindset, comfortable across AI, backend development, and cloud infrastructure. Python and/or TypeScript proficiency; depth matters more than stack. Dropped into an unfamiliar codebase, you're productive. Hands-on AWS in production: Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, ECR, or similar. GCP or Azure is a plus. Cloud-native delivery: containers, ECS or Kubernetes, IaC, and CI/CD applied to AI pipelines. You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured, how you produced ground truth, and what gated a release. Model and agent monitoring, drift detection. Cost and latency discipline: model tiering, caching, and the ability to say what a workload costs to run before it runs. Hands-on production experience with the Claude ecosystem —  Claude Code, CLAUDE.md, hooks, skills files.  Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build — is a strong plus. MCP: you can say why an agent would prefer it to a REST integration. Having authored a server is a plus. Responsibilities: Work in a pair with an FDE and an FDX. Build and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions). Build and optimize RAG systems for production use cases Build the evaluation harness before you build the feature. Write production code across the stack — AI, backend services, data pipelines. We choose tools to fit the customer. Integrate AI components into backend services and RESTful APIs Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD. Implement LLMOps and AgentOps practices: agent tracing, prompt and version management, cost and latency monitoring, regression testing, drift detection Start from the blueprint, contribute to enablement and handover: clear documentation, runbooks, and pairing with the client engineers who will inherit the system. Feed reusable components and lessons back into the Provectus Blueprints Participate in technical discussions and architectural decisions Conduct model evaluation, improve failure modes you find, optimize model performance, efficiency, and reliability Mentor junior and mid-level AI engineers, conduct code reviews and share knowledge across the team through documentation, presentations, and workshops. Nice to Have: Experience in one of the industries: financial services, insurance, healthcare. Consulting, professional services, or other embedded customer-facing delivery. AWS and Claude Code Certifications A2A: you can explain agent-to-agent interoperability CI/CD pipeline experience (GitHub Actions, GitLab CI) Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines. Experience in an additional language (Go, TypeScript, or Rust). Experience with Apache Spark, Apache Airflow, Kafkа What We Offer: The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment A forward-deployed model working in small, senior teams alongside FDE and FDX A growing AI delivery practice where you help build the tooling and frameworks, not just use them Remote-friendly culture Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance Career growth; we actively develop our engineers Access to the latest AI tools and premium subscriptions Long-term B2B collaboration Private medical insurance or a budget for your medical needs Paid sick leave, vacation, and public holidays Equipment and all the tech you need for comfortable, productive work How we hire:   Intro conversation. The role, your background and aspirations, tech questions. Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant  HR Interview. Soft skills and expectations HM interview. Tech questions; a live engine