Location: Valencia; Poland; Yerevan; Serbia; Kyiv; Madrid; Odesa
Workplace: remote
About the role:
Provectus is a Premier AWS partner and an Anthropic Strategic Partner at the forefront of applied AI, helping 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 and are obsessed with reimagining how they operate and compete.
We are hiring an exceptional Senior Solution Owner to sit at the intersection of frontier AI (Claude and agentic systems) and enterprise transformation. You will own the story and the delivery for client engagements built on our Programs (Cowork Activation, Agentic SDLC with Claude Code, and Blueprint Activation) and five Blueprints— packaging reusable IP into repeatable outcomes, and personally getting hands-on in the field when it counts.
You are equally comfortable framing an ROI case for a CFO, aligning a healthcare or financial-services stakeholder on a compliant rollout, and pairing with an engineer to wire an MCP integration or ship a Claude Code harness.
Domain Focus
Deep, current expertise in one or both of our priority verticals is a leading selection criterion:
Financial Services (FSI) — e.g., office of the CFO, lending/underwriting, risk, compliance-sensitive workflows.
Healthcare & Life Sciences (HCLS) — e.g., revenue cycle management, clinical/operational workflows, regulated data handling.
You understand the vocabulary, the buying process, the compliance constraints, and where AI creates defensible value in these industries.
Forward-Deployed Delivery (FDE / FDX)
Our delivery model pairs a Forward Deployed Engineer (FDE) with a Forward Deployed eXpert (FDX) that lands a Cowork and Blueprint Activation or program inside a client. We normally launch projects in this two-in-the-box model, then extend as the engagement grows. You must be able to credibly play at least one side of that box and partner tightly on the other:
FDX — own the domain framing, product definition, rapid-prototyping loop, stakeholder alignment, and OCM; validate use cases through user interviews and turn them into working demos.
FDE — configure MCP integrations, build and adapt Claude Code harnesses and skills, wire data pipelines and connectors, and debug in the client environment.
Comfort embedding directly with clients and Anthropic field teams, and setting the tone in the first sessions, is essential.
Requirements:
Deep domain expertise in Financial Services & Insurance and/or HCLS, ideally in a client-facing/consulting context.
Proven ability to lead or materially contribute to one of Provectus' Programs or Blueprints (0-to-1 and scale) and land it as real client delivery.
Track record operating forward-deployed / embedded with clients (FDE or FDX), including hands-on prototyping.
5-7+ years in solution/product ownership or delivery leadership; 3-5+ years with AI/ML, GenAI, agentic systems, or data platforms.
Strong Agile/Scrum experience; familiarity with outcome-based, milestone-priced engagements.
Fluent English.
A hands-on software engineering background is not strictly required. Working knowledge of Claude, Claude Code, and Cowork, building skills, workflows, and productivity tooling for yourself or your team; MCP integrations, connectors, and custom harnesses are a must.
GenAI/agentic patterns: how prompt engineering, RAG, embeddings, vector DBs, and agent frameworks work – well enough to assess quality, challenge assumptions, and translate to client stakeholders.
Data fundamentals: what ETL/ELT, data modeling, and governance mean in an enterprise context – well enough to scope integration work and identify data readiness risks.
Cloud & AI infrastructure: AWS as the primary platform; what MLOps and AI observability involve – well enough to ask the right questions and understand tradeoffs.
Design thinking, data-driven decisions, strong communication and executive storytelling.
Bias to action; thrives in ambiguity with structured problem-solving.
Enough engineering empathy to earn credibility with senior engineers and architects on day one.
Nice to Have:
Second priority vertical beyond your primary FSI/HCLS focus.
Prior experience in a Premier AWS or Anthropic partner environment.
Claude Certified Architect – Foundations (CCA-F), Seller, Developer certification or willingness to complete one early.
Certifications: CSPO, SAFe PO/PM, AWS/Azure/GCP.
Software development background.
What You'll Do:
Define value proposition, positioning, and reusable artifacts for your assigned Program (Cowork Activation, Agentic SDLC with Claude Code, or Blueprint Activation) or individual Blueprint; align sales and delivery.
Build business cases (market fit, ROI, competitive positioning) and translate them into scoped SOWs.
Run market/use-case validation, workshops, and user research; turn findings into demos and first deployments.
Stand up Cowork Activation, Agentic SDLC with Claude Code, or Blueprint Activation on live client data; drive rapid prototyping from use case to context to result.
Build with Provectus’ delivery stack: Claude Code, AWOS, MCP servers, Skills and plugins. Drive Cowork Activation as a separate, parallel client-facing workstream.
Define solution vision and roadmap for GenAI/agentic engagements, RAG, and agentic workflows.
Break complex work into incremental releases; balance delivery against technical debt and architecture.
Sprint-Enable-Realize engagement model.
Lead Agile execution - backlog, sprint planning, release process.
Contribute to Provectus' measurement framework that produces the board-level AI Maturity Index, ROI read, and cost signal from the Agentic SDLC program.
Define success metrics and analytics; drive continuous improvement and root-cause analysis.
Support change management, enablement, and reusable playbooks so wins repeat across accounts.
Why Join Us:
Deliver frontier work on Provectus' delivery stack — Cowork activation, Agentic SDLC program, and Blueprint Activations across FSI and HCLS — with real client impact.
Shape how enterprises in financial services and healthcare adopt AI, from strategy to first deployment.
Work forward-deployed in small, senior teams of Forward Deployed Executive + Principal Architect + Forward Deployed Engineers.
Grow inside a team actively building the modern AI-delivery practice, tooling, and frameworks.
Remote-friendly culture.
Private medical insurance or sports coverage
Paid sick leave, vacation, and public holidays
Equipment and all the tech you need for comfortable, productive work.
Location: Boston, MA
Workplace: OnSite
At WHOOP, we're on a mission to unlock and inspire performance for life.
WHOOP is seeking a Governance, Risk, and Compliance Analyst II, to lead the day-to-day operation and support the ongoing risk management program at GRC in a fast-paced, high-growth environment. This role is responsible for operations of GRC initiatives - including but not limited to structured cybersecurity and AI risk assessments, exceptions management,
SDLC reviews and security compliance process ownership. The role will partner closely with Legal, Security, Product, and other teams to advance compliance objectives, reduce enterprise risk, and strengthen operational resilience.
The ideal candidate combines strong analytical thinking, critical risk mind-set, familiarity with AI governance and has the ability to communicate complex risk scenarios clearly to both technical and non-technical stakeholders.
RESPONSIBILITIES:
- Lead governance, risk assessment, and compliance activities specific to AI/ML systems,
LLM integrations, AI agents, and retrieval-augmented workflows
- Partner with the Senior Security Engineer, AI/ML to integrate risk assessment findings into
GRC frameworks and translate technical risk into governance requirements
- Develop, maintain, and refine AI risk and compliance controls aligned with relevant
frameworks, including ISO/IEC 42001, NIST Cybersecurity Framework, NIST AI Risk
Management Framework, EU AI Act, GDPR, and other applicable standard
- Execute risk assessments for new AI vendors, LLM platforms, AI APIs, and enterprise AI
tools, including third-party risk scoring, control mapping, and remediation tracking
- Manage the vendor risk assessment lifecycle for AI/ML related suppliers, ensuring
documented controls, evidence collection, and follow-up on remediation items
- Support audit activities, capturing evidence and coordinating cross-functional
stakeholders for internal and external compliance reviews involving AI systems
- Develop and maintain AI-specific GRC policies, standards, and procedures that map to AI
risk domains, explainability requirements, and compliance obligations
- Facilitate AI risk and compliance reporting to leadership, including risk dashboards, trend
analysis, control effectiveness measurements, and key metrics
- Monitor emerging AI governance requirements, guidance, and best practices, translating
them into GRC program updates and compliance recommendations
- Support security incident documentation and post-incident analysis for AI system events,
coordinating with Legal and Security teams to ensure appropriate governance response
QUALIFICATIONS:
- 6+ years of experience in Governance, Risk & Compliance, including risk assessment,
policy development, audit coordination, and third-party risk management
- Demonstrated experience performing governance or risk assessments for AI/ML systems,
including LLM integrations, model pipelines, AI agents, or data-driven algorithmic systems
- Experience translating AI-specific risks (i.e., data poisoning, prompt injection, model
misuse, data leakage, explainability gaps) into documented control requirements and
governance standards
- Hands-on experience conducting third-party risk assessments for AI vendors, LLM
platforms, AI APIs, or machine learning service providers
- Experience mapping AI-related risks and controls to frameworks such as ISO/IEC 42001,
NIST CSF, NIST AI RMF, ISO/IEC 42001, GDPR, PCI DSS, or similar standards
- Strong understanding of data governance concepts relevant to AI systems, including
training data lineage, data retention, model output handling, and human oversight
requirements
- Experience supporting regulatory readiness or compliance efforts related to AI systems
- Proven ability to collaborate with engineering and security teams to validate control
implementation and remediation
- Bachelor’s degree in Information Security, Computer Science, Business Risk, Compliance,
or a related field
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
The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.
At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.
The U.S. base salary range for this full-time position is $100,000 - $140,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.
In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.
These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.
Location: Boston, MA
Workplace: OnSite
At WHOOP, we're on a mission to unlock and inspire performance for life.
As a Senior GRC Analyst, you will play an important role in supporting WHOOP's information security governance, risk, and compliance program. You will lead security risk assessments, evaluate security controls, identify gaps, and support risk remediation efforts across the organization.
Partnering with Product Security, Engineering, IT, Legal, and other stakeholders, you will help evaluate technical security risks, support Secure SDLC reviews, and improve the effectiveness of security controls and processes.
We are seeking a detail-oriented, proactive GRC professional with a solid foundation in information security, technical security risk assessment experience, and the ability to work independently while collaborating effectively with engineering teams.
RESPONSIBILITIES
- Lead information security risk assessments and technical security control reviews across applications, cloud infrastructure, enterprise systems, and third-party technologies.
- Manage and govern security risks, control gaps, and remediation activities, ensuring accurate and timely updates to the leadership.
- Develop, document, and continuously improve GRC standard operating procedures (SOPs) to ensure consistent, efficient, and scalable execution of GRC processes.
- Lead Secure SDLC reviews in partnership with Product Security and Engineering, reviewing security testing practices, vulnerability management, and evidence of control effectiveness.
- Assess security exception requests, evaluate associated security risks and compensating controls, and translate into business risks for leadership review / acceptance and approval process.
- Track and report security risk metrics, including security gaps, exception remediation status, and overdue risks.
QUALIFICATIONS
- 6+ years of experience in information security, cybersecurity risk management, or GRC, preferably in a technology-driven organization.
- Strong understanding of cybersecurity principles and technical security controls, including application security, Secure SDLC, vulnerability management, and cloud security.
- Experience conducting technical security risk evaluation, identifying security gaps, and tracking remediation activities.
- Experience managing security risk registers / security exceptions register, and documenting risk assessments and findings.
- Strong understanding of regulations and security frameworks such as GDPR, NIST CSF, ISO 27001 and 42001, HIPAA/HITRUST, and SOC 2.
- Strong analytical, documentation, and communication skills, with the ability to engage technical stakeholders and independently manage assigned assessments.
- A minimum bachelor’s degree in any discipline. Computer science, cyber security and risk or technology degrees preferred.
BONUS QUALIFICATIONS
- Industry certifications such as CISA, CISSP, CISM, or CRISC.
- Experience conducting technical security control reviews in cloud-native or software-driven organizations.
- Familiarity with DevSecOps, AI governance, Zero Trust principles, and Secure SDLC practices.
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
The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.
At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.
The U.S. base salary range for this full-time position is $130,000 - $170,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.
In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.
These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.
Задачи:
— Разработка и внедрение стратегии тестирования для сложной микросервисной архитектуры.
— Организация и контроль качества всех видов тестирования: интеграционного, регрессионного, системного, приемочного и smoke-тестирования.
— Лидерство QA-направления в команде: планирование тестирования, распределение задач, контроль качества deliverables.
— Глубокое тестирование REST API (Postman, Swagger), включая сложную валидацию данных через SQL-запросы (PostgreSQL).
— Анализ сетевого трафика (Charles/Fiddler) и мониторинга (Prometheus/Grafana) для быстрой локализации дефектов.
— Аудит и ревью требований, технической документации на противоречия, пробелы и тестопригодность.
— Создание и поддержание тестовой документации (Test Plan, Check-list’ы, отчеты) в Confluence.
— Менторство и развитие QA-инженеров, проведение code review автотестов и тест-кейсов.
— Взаимодействие с разработкой, Product Owner и другими стейкхолдерами по вопросам качества продукта.
— Постоянное улучшение QA-процессов, внедрение лучших практик и метрик качества.
— Участие в оценке рисков и планировании спринтов/релизов.
Требования:
— Опыт работы в QA от 5 лет, из них минимум 2 года на позиции Lead QA / Senior QA с опытом лидерства.
— Опыт тестирования сложных распределённых микросервисных систем.
— Отличное владение техниками тест-дизайна и risk-based testing.
— Продвинутое владение SQL (сложные JOIN, оконные функции, агрегации, оптимизация запросов).
— Глубокие практические навыки работы с DevTools, Postman, Swagger.
— Опыт построения и поддержки тестовой документации (Test Strategy, Test Plans).
— Сильные навыки менторства и развития junior/middle QA-инженеров.
— Глубокое понимание SDLC, Agile/Scrum/Kanban, CI/CD.
— Развитые soft skills: лидерство, системное мышление, проактивность, навыки коммуникации и влияния.
Будет большим плюсом:
— Опыт нагрузочного тестирования (JMeter или аналоги).
— Работа с ELK Stack, Grafana или другими системами логирования.
— Опыт внедрения тестовой автоматизации на проекте.
— Знание принципов Performance и Security testing.
Условия:
— Формат работы: удаленно
— Часовой пояс: MSK
УдалённоleadФормат работы: удаленно Часовой пояс: MSK Отклик с резюме: https://t.me/katyacheresh
Location: Remote - Ireland
Who we are
At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to
hundreds of thousands of businesses
and empower millions of developers worldwide to craft personalized customer experiences.
Our dedication to
remote-first work
, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands.
.
Hiring and how we work
We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions!
Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings.
.
See yourself at Twilio
Join the team as Twilio’s next Senior Software Engineer.
About the job
This position will be part of a team of talented engineers within our Commerce Platform Team, who build services and products that operate at a massive scale. This platform is central to Twilio's core business as it is responsible for managing the billing lifecycle and payment experience for our customers, while also acting as a gateway for discovering and selling our products. Billing is going through a transformational journey, and we are introducing new and exciting capabilities. The engineer in this role will be part of a team that focuses on the control plane, billing experience and account lifecycle management.
The successful candidate will design, build, and operate core billing platform services that help transition our platform and our customers to the next generation architecture. These services work for all Twilio customers, regardless of their scale and billing complexity.
The ideal candidate will build high-quality, innovative and fully performing software that complies with high levels of coding standards and technical design. This is to build and integrate services that continuously improve our ability to provide products to customers while simultaneously delivering industry leading availability. We do this by leveraging technologies that include AWS cloud infrastructure and APIs, Apache Kafka, Rest APIs (OpenAPI compliance), while also building our own services.
Responsibilities
In this role, you’ll:
Improve your knowledge of highly available and scalable distributed systems and use this knowledge to build new features into our platform.
Design, implement, and operate both new features on our current services as well as new services that will be built from scratch.
Leverage your excellent communication and written skills to articulate the "why" of the solution you are proposing, and have a good understanding of your team’s priorities and the customer impact.
Troubleshoot and fix operational issues and have the opportunity to improve the troubleshooting procedures and tools.
Execute full software development life cycle (SDLC).
Develop flowcharts and documentation to identify solutions.
Write well-designed, testable code.
Document and maintain software functionality.
Troubleshoot, debug and upgrade existing systems.
Qualifications
Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!
As a Commerce Platform engineer, you will design and build core platform services, REST APIs and take part in transitioning our platform to next generation architecture. We run on AWS cloud infrastructure and use AWS cloud data store, EKS, Glue, Kafka, Aurora RDS etc.
*Required:
5+ years of work experience building highly scalable products.
5+ years of programming experience in object-oriented language (Java or similar) with clean code practices.
Expert knowledge in Object-Oriented Programming with a successful track record.
Experience contributing to architecture and design (architecture, design patterns, reliability and scaling) of new and current systems.
Experience working closely with our Product team to understand requirements and help to define technical work for the team.
Experience working with stakeholders at all levels - be able to dive into the nuts-and-bolts of how things work as needed.
Experience with relational and non-relational databases.
Experience delivering high levels of observability and proficiency in improving early warning systems, for example: has worked with Grafana/DataDog/Prometheus.
Collaborating with internal/external teams/engineers and fostering an inclusive environment, where all points of view are welcomed and encouraged.
Own and lead multiple domains of the platform (microservices, REST APIs, infrastructure) from inception to deployment and maintenance, while making best in class technical decisions that impact the success of the company.
Familiarity in Cloud Solutions, AWS, Kubernetes/EKS, CI/CD pipelines, Testing & Automation.
Self driven - you take complete ownership of your tasks and champion efforts to get your tasks to completion.
Clear written and spoken communication skills.
Degree in Computer Science or a related field, or equivalent work experience.
Desired:
Experience with on-call support for mission-critical customer systems.
Experience optimizing and debugging complex SQL queries.
Experience working on customer-facing applications.
Good debugging skills on production systems.
Proficient in Linux and containerization with Kubernetes.
Nice to have skills: gRPC, Python, Typescript, React, Apache Kafka.
Location
This role will be remote, and based in Ireland.
Travel
We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings.
What We Offer
Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.
Twilio thinks big. Do you?
We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call
Twilio Magic
. Additionally, we empower employees to build
positive change in their communities
by supporting their volunteering and donation efforts.
So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for,
please consider other open positions.
.
Stay alert to recruitment fraud
We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @
twilio.com
email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps.
.
Twilio is proud to be an equal opportunity employer.
We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.
Обязанности:
- Анализ бизнес-требований клиентов и разработка функциональных требований к ИТ-решениям.
- Подготовка проектной документации, включая бизнес-требования, user stories, BPMN-диаграммы, UML-модели и функциональные спецификации.
- Участие в проектах по цифровой трансформации, ИТ-стратегии, корпоративной архитектуре и оптимизации ИТ-процессов.
- Взаимодействие с заказчиками, разработчиками и другими заинтересованными сторонами для согласования требований и проектных решений.
- Проведение исследований рынка и технологических решений, подготовка аналитических материалов и презентаций для клиентов.
Требования:
- Опыт работы от 3 лет в роли System Analyst, Business Analyst или на аналогичной позиции.
- Практический опыт сбора, анализа, формализации и управления требованиями.
- Знание жизненного цикла разработки ПО (SDLC), Agile и Waterfall методологий.
- Опыт работы с API, системными интеграциями и моделированием бизнес-процессов.
- Уверенное владение SQL и понимание принципов работы баз данных.
- Опыт использования JIRA, Confluence или Azure DevOps.
- Уверенное владение английским на уровне Upper-Intermediate и выше (устно и письменно).
- Наличие сертификатов TOGAF, ITIL или Lean Six Sigma будет преимуществом.
Условия:
- Ежегодные бонусы по результатам работы.
- Медицинское страхование и страхование жизни.
- 30 календарных дней отпуска и 5 дополнительных дней оплачиваемого больничного без подтверждения.
- Корпоративные скидки и специальные предложения.
- Программа признания достижений.
- Внутренние и внешние программы обучения, сертификации и профессионального развития.
Location: New York, New York, United States
About the Role
iCapital is looking for a Software Developer in Test to join the Quality Assurance team. The ideal candidate brings practical knowledge of agile development methodologies and engineering best practices. As a Software Developer in Test (SDET), this role will work closely with the Development and Testing team. This individual will serve as a hands-on test engineer with managerial experience, capable of understanding, enhancing, and implementing existing automation test frameworks. This role will also collaborate closely with other engineers and product managers to support feature‑based testing.
Responsibilities
Build and implement robust automated test suites.
Integrate automated test suites with current build and deployment processes.
Maintain automated tests to reflect updates in system design and architecture.
Implement the automation framework with existing tools (JIRA).
Create, Manage, and Utilize Defect workflows with automated test execution.
Design and publish meaningful metrics to support automation test creation and
Perform all types of testing such as functional, API, automation, performance and load.
Qualifications
8+ years of experience with QA engineering delivery experience
4+ years of delivery within Agile SDLC teams ideally with CICD
Programming experience in Java with focus on behavior driven development (BDD) and test-driven development (TDD) and design patterns, ideally within continuous integration (CICD)
Experience with Java microservices and REST APIs and exposure to React front end
Knowledge of Java, JavaScript, and SQL
Proficient in CI/CD technologies such as Maven, Sonar, Git, TeamCity/Jenkins, and Docker
AI Integration experience is preferred
Exposure to banking or finance environments is preferred
Prior experience testing ETL processes is preferred
Hands-on experience with testing tools including JUnit, RestAssured, Playwright, Protractor, and JMeter
Benefits
The base salary range for this role is $130,000 to $160,000. 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: United States, Los Angeles, CA
Why Sony Interactive Entertainment?
Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.
Join the award-winning studio that created God of War
Sony Santa Monica Studio is looking for QA Sr Analysts to assist in the development testing of our internal projects on the PS5 platform.
The QA Sr Analyst is responsible for the execution of high-level/critical test coverage management in support of their assigned projects. The general purpose of this job is to provide a dedicated resource to provide testing expertise for their assigned area of focus and operating as the most experienced, cognitive focused and productive testers on the project. Attention to detail is a critical requirement of the role, as is a highly communicative, amicable, team focused and mature demeanor.
We value talent, self-motivation, and team spirit. In turn, we provide an environment with a large degree of freedom, autonomy and growth opportunities.
Responsibilities
Perform developer support tasks to assist with entry to mid-level development work for your assigned department or area
Perform preventive testing support on developer workflows, tools and testbeds to support embedded testing efforts
Perform high-level/critical scripted and exploratory test coverage using different testing techniques on assigned projects
Perform issue reporting, research, analysis, confirmation and support resolution on assigned projects
Perform specialized testing and support requests for your assigned area of focus and/or department
Maintain a strong knowledge of the project design and scheduling changes to support QA test effectiveness, focus and reporting
Assist in the management of project databases for assigned titles
Assist in the planning, tasking, and execution of all operational testing for assigned projects
Assist in the execution of project operational reporting and day to day communication
Assist in updating test plans and incorporate them into the software testing process
Assist in QA administrative and support requests
Assist in collaborating work across disciplines within the internal/external development team to help drive project to completion
Assist in diagnosing errors and breakdowns in development pipeline and perform technical support as needed
Actively develop and improve skill set and abilities by keeping aware of QA industry trends and techniques
Minimum Requirements
2+ years in Test or Analyst or equivalent position and successfully shipped at least 2 global, large-scale titles on current generation PlayStation platform(s)Experience with Maya software and toolsets
Excellent technical learning agility
Excellent understanding of SDLC
Excellent gameplay skills
Excellent critical analysis skills
Excellent communication, organizational, time management, and interpersonal skills
Experience with current generation PlayStation platforms and peripherals
Experience in quality assurance/control testing
Experience in foundation level testing techniques
Experience with JIRA database and add-on systems
Proficiency in test case design and traditional QA/QC methods
Passion for video games
Preferred Experience
BS Cognitive Science, Computer Science, Communications, BA in Project Management, Business Intelligence, or QA related field
Successful completion, certification and application of ISQTB® Foundation Level CTAL or equivalent
#LI-SMS
#LI-MC1
Avoid Recruitment Scams/Phishing Attempts:
Please be aware that any official outreach in response to your application will always be done from a
@sony.com email address
. Always make sure to double check the spelling on Sony is correct and the characters have not been replaced with any numbers/symbols before replying.
Anyone using an email that is not @sony.com is
not affiliated with us
and should be
reported
either
via the platform they are contacting you on
or
directly to your email service
as a phishing attempt/scam.
At SIE, working with our partners, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location.
Please note that the individual base pay range may vary based on job-related factors which may include knowledge, skills, experience, and location.
In addition, this role is eligible for benefit offerings that include medical, dental, and vision. Click
here
to learn more.
The estimated base pay range for this role is listed below, this is an hourly rate.
$27.22
—
$40.87 USD
Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.
Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.
Equal Opportunity Statement:
Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.
We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.
Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
Задачи:
— Координация сроков выпуска продуктов, зависимостей и распределения ресурсов по портфелю продуктов.
— Управление изменениями и рисками через оценку сдвигов графика и ведение подробных журналов изменений для обеспечения темпа поставок.
— Оптимизация коммуникаций с клиентами и заинтересованными сторонами, включая выпуск заметок, матрицы совместимости и руководство для администраторов.
— Администрирование LMS и платформ сертификации, управление полным циклом публикации учебного контента и сертификатов.
— Разработка операционных дашбордов с использованием Power BI для отслеживания вовлеченности обучающихся, ключевых показателей проектов и состояния выпусков.
— Внедрение AI-поддерживаемых рабочих процессов для ускорения процессов документации и отчетности.
Требования:
— Опыт работы в управлении проектами или PMO не менее 5 лет, желательно в SaaS или технологической среде.
— Подтвержденный опыт управления графиками релизов и глубокое понимание жизненного цикла разработки программного обеспечения (SDLC).
— Владение Jira, Aha, Power BI и Zendesk.
— Опыт администрирования LMS и настройки систем сертификации и интеграций.
— Свободное владение английским языком на уровне бизнеса, сильные навыки написания и структурирования отчетов о статусе.
— Обязательное проживание или готовность к переезду в Мадрид, Испания.
Преимущества:
— Навыки проектирования эффективных AI-подсказок и AI-поддерживаемых рабочих процессов для оптимизации повторяющихся задач.
— Опыт управления проектами в области обучения или образования.
Условия:
— Гибридный режим работы с офисами в центре Мадрида рядом со стадионом Бернабеу.
— Неограниченный оплачиваемый отпуск плюс 23 стандартных праздничных дня, гибкий график.
— Полностью оплачиваемая частная медицинская страховка (Sanitas) и ежедневные ваучеры на питание (11 EUR).
— Полный пакет релокации для кандидатов из других стран.
— Субсидия на абонемент в спортзал (до 25 EUR/месяц) и гибкая компенсация на уход за детьми и общественный транспорт.
— Возмещение расходов на курсы английского и испанского языков (до 50%).
ГибридPROJECT MANAGER | RELOCATION TO SPAIN | NEXTHINK #relocation #spain #fulltime #itjob #pm #project https://teletype.in/@courierus/editor/xI5ort_1L-H; RELOCATION TO SPAIN Company Nexthink is a leader in digital employee experience (DEX) management software, providing IT leaders with visibility to diagnose and fix employee-facing technical issues at scale; Must be based in or be able to relocate to Madrid, Spain ; Comprehensive relocation package for candidates moving from another country
Location: Baku
Workplace: onsite
ABOUT US
Xsolla is a global video game commerce company that provides a comprehensive suite of tools and services for game developers and publishers - including payments, distribution, game stores, launcher solutions, and partner network services. Our platform processes transactions across 200+ geographies, supporting thousands of games and millions of players worldwide. Quality is not optional - it is foundational to every product we ship.
ROLE OVERVIEW
The Director of QA is a senior technical leadership role responsible for owning and scaling Xsolla's quality engineering function across multiple product lines, teams, and time zones. You will define and drive the strategic vision for quality assurance - from test automation architecture and CI/CD integration to AI-assisted testing practices and performance engineering. You will lead a distributed organization of 30+ QA engineers and leads as part of a broader QA organization of 75+ professionals, ensuring predictable, high-quality releases across every product Xsolla delivers. This is not a management-only position. You must be deeply technical - capable of reviewing automation code, architecting test frameworks, debugging CI/CD pipelines, and evaluating AI-driven testing approaches hands-on.
Key Responsibilities
Strategic Leadership & Ownership
Define and execute the QA strategy across all Xsolla products, aligning quality objectives with business goals and product roadmaps.
Own QA deliverables end-to-end - from test planning through release sign-off - and be accountable for outcomes, not just activities.
Establish and enforce quality gates, defect governance policies, and release readiness criteria across all product teams.
Drive organizational maturity: evolve the QA function from reactive testing to proactive quality engineering embedded in every stage of the
SDLC
.
Represent QA at the executive level - articulate quality risks, tradeoffs, and resource needs to VP/C-level stakeholders with clarity and data.
Technical Excellence
Architect and oversee enterprise-grade test automation frameworks spanning UI (Playwright), API, database validation (SQL), and performance testing (K6).
Define and maintain standards for test code quality - including code reviews,
PR
contributions, reusable libraries, and modular test design.
Deep understanding of
Git workflows
- branching strategies, merge request reviews, repository hygiene, and code versioning best practices across multiple repositories.
Expert-level knowledge of
CI/CD pipelines
- design, optimize, and troubleshoot automated build, test, and deployment pipelines (GitHub Actions, GitLab CI, Jenkins, or similar).
Ensure all automation is fully integrated into CI/CD pipelines, with clear pass/fail signals, automated regression gates, and performance benchmarks at every release stage.
Drive adoption of
infrastructure-as-code
practices for test environments - containerized test execution, ephemeral environments, and environment parity between staging and production.
Evaluate, select, and implement QA tooling - including test management platforms (Qase), observability tools, and defect tracking integrations.
AI Integration & Innovation
Proven track record of using AI in day-to-day QA activities
- not aspirational, but demonstrated. You have used AI tools to generate test cases, write automation code, analyze test results, identify flaky tests, or accelerate debugging.
Champion and operationalize AI-assisted quality engineering across the organization - specifically using
Claude AI
for code generation, test design, automation scripting, and documentation.
Define governance frameworks for AI-generated test artifacts - validation, review, and sign-off processes to ensure AI outputs meet quality standards.
Stay current with AI/ML advancements relevant to testing - intelligent test selection, predictive defect analysis, autonomous test generation, and self-healing automation.
Establish metrics to measure the impact of AI adoption on QA velocity, coverage, and defect detection rates.
Team Leadership & People Development
Lead, mentor, and develop a distributed team of
30+ QA professionals
- including QA Leads, Senior QA Engineers, and QA Engineers - across
multiple time zones
(Americas, Europe, Asia-Pacific).
Build a high-performance culture rooted in ownership, technical excellence, continuous learning, and psychological safety.
Conduct regular 1:1s, career development conversations, and performance reviews. Identify and grow future QA leaders.
Design and implement onboarding programs, skill development paths, and technical training curricula - including AI literacy for all QA team members.
Manage resource allocation and capacity planning across multiple concurrent projects, ensuring predictable and sustainable QA delivery.
Navigate cross-cultural team dynamics with sensitivity and effectiveness - a truly global team requires a global leadership mindset.
Process Rigor & Quality Governance
Enforce rigorous QA processes across the organization: •
Test case management
: Create, maintain, and execute comprehensive test cases in
Qase
with full traceability (pass, fail, blocked statuses).
Bug documentation
: Ensure all staging bugs are filed with detailed reproduction steps, expected vs. actual behavior, environment details, screenshots/videos, and severity classification - following established training standards.
Automation framework documentation
: Maintain clear, up-to-date documentation for all automation frameworks, ensuring any engineer can onboard and contribute.
QA Score
: Drive iterative improvements in QA Score metrics - tracking automation coverage, defect escape rate, test execution velocity, and regression stability.
Define and track QA KPIs and OKRs - present quality dashboards and trend analysis to leadership regularly.
Conduct root cause analysis on production escapes and implement systemic corrective actions.
Cross-Functional Collaboration
Partner closely with Engineering, Product, DevOps, and Release Management to embed quality practices into every phase of the development lifecycle.
Work effectively in
Agile/Scrum environments
- participate in and drive sprint planning, retrospectives, daily stand-ups, and release ceremonies.
Act as the primary QA stakeholder for cross-functional initiatives - environment strategy, deployment automation, incident response, and post-mortem processes.
Build strong relationships with engineering leadership to ensure QA is not a bottleneck but an accelerator.
Common Expectations Across All QA Roles
Must be
technical and able to write code
for testing and automation.
Use
Claude AI
to assist in code creation, automation, and test design.
Follow QA processes rigorously: create and execute robust test cases in
Qase
, maintain clear documentation in automation frameworks, ensure traceability of executed test cases with statuses (pass, fail, blocked), and file
Staging Bugs
with detailed documentation following training standards.
Contribute to iterative improvements in QA Score and testing processes.
Strong communication and collaboration skills, analytical mindset, and commitment to continuous learning.
Ability to work effectively in Agile/Scrum environments, participating in sprint planning, retrospectives, and daily stand-ups.
Required Qualifications
15+ years of experience in QA/Quality Engineering
, with at least
6+ years in Senior Manager or Director-level roles
.
Proven experience leading teams of 30+ people
distributed across multiple time zones and cultural contexts.
Hands-on technical proficiency
- you can write and review test automation code, not just manage people who do. Proficiency in one or more: Python, JavaScript/TypeScript, Java.
Deep expertise in test automation frameworks
: Playwright, Selenium, Cypress, or equivalent for UI; REST/GraphQL API testing tools; database validation via SQL.
Performance testing experience
: K6, JMeter, Gatling, or Locust - designing, executing, and analyzing load/stress/soak tests.
Expert knowledge of Git
: branching strategies (GitFlow, trunk-based), pull request workflows, code review practices, repository management across multiple repos.
Expert knowledge of CI/CD
: designing and maintaining pipelines (GitHub Actions, GitLab CI, Jenkins, CircleCI), integrating automated tests into build/deploy workflows, debugging pipeline failures.
Demonstrated use of AI tools in professional QA work
- Claude, ChatGPT, Copilot, or similar - for test generation, automation coding, defect analysis, or process optimization. Provide specific examples.
Strong understanding of Agile/Scrum methodologies
and experience operating within and across Agile teams.
Experience with test management platforms
(Qase, TestRail, Zephyr, or similar).
Excellent communication skills
- ability to present complex technical quality topics to non-technical stakeholders, write clear documentation, and influence without authority.
Bachelor's degree in Computer Science, Engineering, or related field
(or equivalent practical experience).
Preferred Qualifications
Experience in the
video game, fintech, or e-commerce/payments industry
- understanding the unique quality challenges of high-throughput transaction systems.
Experience with
cloud-native architectures
(GCP, AWS, Azure) and testing strategies for microservices, event-driven systems, and distributed architectures.
Familiarity with
containerization and orchestration
(Docker, Kubernetes) for test environment management.
Experience building or managing
unified test environments
- non-production environment strategies that enable safe, deterministic, and scalable validation.
Knowledge of
security testing
fundamentals (
OWASP
, penetration testing, vulnerability scanning).
Experience with
data pipeline testing
and data quality validation.
Background in establishing
QA Centers of Excellence
or transforming QA organizations from manual-heavy to automation-first.
What Success Looks Like (First 12 Months)
90 days
: Complete assessment of current QA processes, tooling, team capabilities, and automation coverage. Establish relationships with all QA leads and key engineering stakeholders. Identify top 3 strategic gaps.
180 days
: Deliver a QA strategy roadmap aligned with product and engineering priorities. Implement measurable improvements in automation coverage and CI/CD test integration. Launch AI-assisted testing pilot across at least 2 product teams.
365 days
: Achieve measurable reduction in production defect escape rate. Demonstrate >80% automation coverage on critical regression paths. AI-assisted testing practices adopted across all QA teams. QA Score trending consistently upward. Team engagement and retention metrics at or above company benchmarks.
The duties and responsibilities of this position may evolve over time to support the organization’s goals and individual growth. This job description is intended to outline the general nature and level of work being performed and is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required. By submitting your application, you consent to Xsolla conducting background checks, where permitted by law, after the final interview stage. All checks will comply with local regulations, and your information will be handled confidentially. Xsolla takes your privacy seriously and will not sell or externally distribute any personal data received during the hiring process. In accordance with applicable data protection laws, Xsolla is committed to protecting your personal information and respecting your privacy.
For any inquiries related to data privacy, please contact: careers@xsolla.com
Explore more opportunities at: https://xsolla.com/careers
Location: Yerevan; Poland; Spain; Ukraine; Serbia
Workplace: remote
About the role:
Provectus is a Premier AWS partner and an Anthropic Strategic Partner at the forefront of applied AI, helping 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 and are obsessed with reimagining how they operate and compete.
We are hiring an exceptional Senior Solution Owner to sit at the intersection of frontier AI (Claude and agentic systems) and enterprise transformation. You will own the story and the delivery for client engagements built on our Programs (Cowork Activation, Agentic SDLC with Claude Code, and Blueprint Activation) and five Blueprints— packaging reusable IP into repeatable outcomes, and personally getting hands-on in the field when it counts.
You are equally comfortable framing an ROI case for a CFO, aligning a healthcare or financial-services stakeholder on a compliant rollout, and pairing with an engineer to wire an MCP integration or ship a Claude Code harness.
Domain Focus
Deep, current expertise in one or both of our priority verticals is a leading selection criterion:
Financial Services (FSI) — e.g., office of the CFO, lending/underwriting, risk, compliance-sensitive workflows.
Healthcare & Life Sciences (HCLS) — e.g., revenue cycle management, clinical/operational workflows, regulated data handling.
You understand the vocabulary, the buying process, the compliance constraints, and where AI creates defensible value in these industries.
Forward-Deployed Delivery (FDE / FDX)
Our delivery model pairs a Forward Deployed Engineer (FDE) with a Forward Deployed eXpert (FDX) that lands a Cowork and Blueprint Activation or program inside a client. We normally launch projects in this two-in-the-box model, then extend as the engagement grows. You must be able to credibly play at least one side of that box and partner tightly on the other:
FDX — own the domain framing, product definition, rapid-prototyping loop, stakeholder alignment, and OCM; validate use cases through user interviews and turn them into working demos.
FDE — configure MCP integrations, build and adapt Claude Code harnesses and skills, wire data pipelines and connectors, and debug in the client environment.
Comfort embedding directly with clients and Anthropic field teams, and setting the tone in the first sessions, is essential.
Requirements:
Deep domain expertise in Financial Services & Insurance and/or HCLS, ideally in a client-facing/consulting context.
Proven ability to lead or materially contribute to one of Provectus' Programs or Blueprints (0-to-1 and scale) and land it as real client delivery.
Track record operating forward-deployed / embedded with clients (FDE or FDX), including hands-on prototyping.
5-7+ years in solution/product ownership or delivery leadership; 3-5+ years with AI/ML, GenAI, agentic systems, or data platforms.
Strong Agile/Scrum experience; familiarity with outcome-based, milestone-priced engagements.
Fluent English.
A hands-on software engineering background is not strictly required. Working knowledge of Claude, Claude Code, and Cowork, building skills, workflows, and productivity tooling for yourself or your team; MCP integrations, connectors, and custom harnesses are a must.
GenAI/agentic patterns: how prompt engineering, RAG, embeddings, vector DBs, and agent frameworks work – well enough to assess quality, challenge assumptions, and translate to client stakeholders.
Data fundamentals: what ETL/ELT, data modeling, and governance mean in an enterprise context – well enough to scope integration work and identify data readiness risks.
Cloud & AI infrastructure: AWS as the primary platform; what MLOps and AI observability involve – well enough to ask the right questions and understand tradeoffs.
Design thinking, data-driven decisions, strong communication and executive storytelling.
Bias to action; thrives in ambiguity with structured problem-solving.
Enough engineering empathy to earn credibility with senior engineers and architects on day one.
Nice to Have:
Second priority vertical beyond your primary FSI/HCLS focus.
Prior experience in a Premier AWS or Anthropic partner environment.
Claude Certified Architect – Foundations (CCA-F), Seller, Developer certification or willingness to complete one early.
Certifications: CSPO, SAFe PO/PM, AWS/Azure/GCP.
Software development background.
What You'll Do:
Define value proposition, positioning, and reusable artifacts for your assigned Program (Cowork Activation, Agentic SDLC with Claude Code, or Blueprint Activation) or individual Blueprint; align sales and delivery.
Build business cases (market fit, ROI, competitive positioning) and translate them into scoped SOWs.
Run market/use-case validation, workshops, and user research; turn findings into demos and first deployments.
Stand up Cowork Activation, Agentic SDLC with Claude Code, or Blueprint Activation on live client data; drive rapid prototyping from use case to context to result.
Build with Provectus’ delivery stack: Claude Code, AWOS, MCP servers, Skills and plugins. Drive Cowork Activation as a separate, parallel client-facing workstream.
Define solution vision and roadmap for GenAI/agentic engagements, RAG, and agentic workflows.
Break complex work into incremental releases; balance delivery against technical debt and architecture.
Sprint-Enable-Realize engagement model.
Lead Agile execution - backlog, sprint planning, release process.
Contribute to Provectus' measurement framework that produces the board-level AI Maturity Index, ROI read, and cost signal from the Agentic SDLC program.
Define success metrics and analytics; drive continuous improvement and root-cause analysis.
Support change management, enablement, and reusable playbooks so wins repeat across accounts.
Why Join Us:
Deliver frontier work on Provectus' delivery stack — Cowork activation, Agentic SDLC program, and Blueprint Activations across FSI and HCLS — with real client impact.
Shape how enterprises in financial services and healthcare adopt AI, from strategy to first deployment.
Work forward-deployed in small, senior teams of Forward Deployed Executive + Principal Architect + Forward Deployed Engineers.
Grow inside a team actively building the modern AI-delivery practice, tooling, and frameworks.
Remote-friendly culture.
Private medical insurance or sports coverage
Paid sick leave, vacation, and public holidays
Equipment and all the tech you need for comfortable, productive work.
Location: Paris; Amsterdam; Munich; London
Workplace: Hybrid
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
ABOUT THE TEAM
The Applied AI team is Mistral's customer-facing technical organization. We work directly with enterprise clients from pre-sales through implementation to deploy cutting-edge AI solutions that deliver measurable business impact.
Our team combines deep ML expertise with strong customer engagement skills, operating like startup CTOs who own end-to-end project execution. Our SRE team works transversally across customer engagements, enabling value creation through Mistral tech - at scale. By joining the team you will bridge the gap between cutting-edge AI research and real-world enterprise applications, ensuring our solutions are robust, scalable, and aligned with both customer needs and Mistral's technological vision.
ABOUT THE JOB
You will be one of the founding engineers of the Applied AI SRE sub-team.
Your mission, alongside the team, is to build and operate the framework to ensure Mistral’s solution delivery is reliable and sustainable - and applied uniformly across all our accounts, both Mistral-hosted and customer-hosted. You should already have a strong understanding of what operational excellence looks like, and you’re ready to scale your impact.
You will operate in four concurrent modes:
- BUILD - Design for a fleet of Mistral platforms and apps. Build proactivity to reduce reactivity.
Productize reliability, author runbooks, create SLO templates, implement observability.
- RUN - Operate the Tier-1 customer environments that Mistral are contracted to operate.
Ensure SLO compliance, own on-call and incident response, manage drift, partner with Technical Support as L3 escalation, champion high signal post-mortems.
- ENABLE - Productize how Mistral deploy, secure, and scale our Applied AI solutions.
Engineer on-demand provisioning, author security baseline packages, embed security guardrails, automate everything.
- SECURE - Own the security operations layer for our customer-side deployments.
Lead CVE response across the fleet, ship supply-chain integrity controls (SBOM, signed images, provenance), co-page with InfoSec on security incidents, enforce secure-config baselines.
This is a framework-first, fleet management role at heart. If you're excited by the difference between solving one customer's problem and structurally solving the class of problem for every customer, this is the role.
HOW WE WORK IN APPLIED AI
• We care about people and outputs.
• What matters is what you ship, not the time you spend on it
• Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week.
• Always ask why. The best solutions come from deep understanding, not from copying what worked before
• We say what we mean. Feedback is direct, timely, and given because we care.
• No politics. Low ego, high standards.
• We embrace an unstructured environment and find joy in it.
ABOUT YOU
• Fluent in English.
• 5+ years in SRE, Production Engineering, or DevOps, with a record of shipping tooling.
• Strong multi-tenant Kubernetes fluency, namespace segmentation, network policy, RBAC, admission control, operations at scale.
• On-call discipline: incident response, blameless post-mortem culture, runbook-first mindset.
• Observability stack in production: Prometheus, Grafana, OpenTelemetry, Loki, Tempo, Signoz.
• Infrastructure as code: Terraform, Ansible (or close equivalents).
• Proficient in Python and/or Golang for tooling and automation.
• Security mindset: you treat secure-SDLC, CVE response, and supply-chain integrity as reliability properties of the shipped artifact, not as someone else's job.
• Strong written communication skills: runbooks, post-mortems, and customer-facing incident comms are core deliverables of this role.
• Comfortable operating with high autonomy in an ambiguous, fast-paced environment — and disciplined enough to defend the team's scope when work tries to spill in.
• Solid Linux internals, networking debug, and distributed-systems fundamentals.
STRONG PLUS
• Cloud or application security background (AppSec, K8s security, supply chain — SBOM, cosign, SLSA). At least one of our early hires must bring this; if it's you, flag it.
• Experience operating LLM / model-serving stacks in production
• Experience with multi-cloud or on-prem hybrid customer environments (AWS, GCP, Azure, sovereign clouds).
• Open-source contributions, particularly in SRE, observability, or security tooling.
By applying, you agree to our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
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.
Задачи:
— Понимать жизненный цикл ПО (SDLC) и составлять чек-листы и тест-кейсы по требованиям;
— Вести тестовую документацию, включая отчёты и баг-репорты;
— Понимать клиент-серверную архитектуру;
— Работать с Jira и системами управления тестированием, например Allure TestOps;
— Знать основы REST, HTTP, уметь читать JSON, XML и логи;
— Отправлять запросы в Postman и читать спецификации в Swagger;
— Использовать Chrome DevTools (Console, Network) для детального анализа;
— Писать простые SELECT-запросы в SQL.
Требования:
— Студенты старших курсов технических специальностей;
— Выпускники профильных направлений и IT-курсов;
— Начинающие тестировщики, желающие развиваться в финтех-домене.
Условия:
— Проектная стажировка до 6 месяцев;
— Работа на реальном масштабном коммерческом проекте;
— Плотное взаимодействие с опытным наставником и командой экспертов;
— Возможность получить практический опыт, ценимый работодателями;
— Шанс продолжить работу в команде на постоянной основе после стажировки или получить рекомендательное письмо.
Location: Tashkent, Uzbekistan
В
DMED
мы создаём масштабные цифровые решения в сфере здравоохранения. Мы ищем
Бизнес-аналитика
, который поможет глубже понимать потребности пользователей, анализировать существующие процессы и находить решения, делающие наши продукты удобнее и эффективнее.
Обязанности:
Сбор и анализ требований:
Cбор и анализ бизнес-требований от медицинских организаций для реализации нового функционала.
Проведение интервью с пользователями и заказчиками (CustDev), выявление потребностей и определение приоритетов.
Анализ требований на полноту и непротиворечивость, предложение оптимальных вариантов решений.
Моделирование процессов и документация:
Исследование и описание текущих бизнес-процессов (AS IS), проектирование целевого состояния (TO BE).
Подготовка и структурирование понятной бизнес-документации.
Кросс-функциональное взаимодействие:
Согласование предлагаемых решений с заказчиками совместно с системным аналитиком.
Взаимодействие с командами разработки, аналитики и внедрения на всех этапах реализации задач.
Requirements
Опыт и компетенции:
Опыт работы бизнес-аналитиком от 2 лет (или участие в проектах по анализу и описанию бизнес-процессов).
Уверенное понимание подходов AS IS / TO BE, умение видеть взаимосвязи между процессами.
Базовое понимание жизненного цикла разработки ПО (SDLC).
Инструменты и нотации:
Базовые знания
UML
и
BPMN
.
Умение строить диаграммы активности (Activity Diagram) и последовательности (Sequence Diagram).
Базовые навыки работы в
Figma
.
Языковые навыки:
Грамотная устная и письменная речь на
русском
и
узбекском
языках.
Знание английского языка будет плюсом.
Будет плюсом
Опыт работы в сфере здравоохранения или медицинских информационных систем.
Опыт взаимодействия с медицинскими учреждениями и понимание принципов работы государственных структур.
Продуктовое мышление и опыт проектирования нового функционала.
Benefits
Официальное трудоустройство;
Работа в развивающейся IT-компании;
Молодой и дружный коллектив;
График работы: пн–пт с 9:00 до 18:00.
Участие в масштабных цифровых и государственных проектах.
Конкурентную заработную плату.
Современный офис с комфортной инфраструктурой.
Простор для карьерного и профессионального роста.
Location: Hybrid - San Francisco, New York City, London
About Vercel:
Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience.
Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide.
About the role
We are looking for a Governance, Risk and Compliance (GRC) Analyst who wants to build GRC with AI, and you do not need to be an engineer to do it. We encourage and equip you to use AI tooling to build automations for audit evidence and customer security questionnaires, alongside assessing AI tools and vendors and managing audits. This is a hybrid role based in San Francisco, New York City, or London, with three days a week in the office.
What you’ll do
Assess AI tools and vendors against security, privacy, and compliance requirements, and run company compliance and ethics training
Maintain the internal controls behind ISO 27001, System and Organization Controls 2 (SOC 2), Health Insurance Portability and Accountability Act (HIPAA), and Payment Card Industry Data Security Standard (PCI DSS) compliance, and drive remediation to completion with documented progress
Use AI tooling to build automations that collect audit evidence, monitor controls, and draft security questionnaire responses, and report on controls maturity scores
Manage annual audit deliverables, write treatment plans, and track completion across teams
Answer customer compliance inquiries and maintain customer-facing security and compliance documentation
What you need
3+ years supporting the audit lifecycle for SOC 2, ISO 27001, PCI DSS, or HIPAA in a cloud-based environment
Applied security or privacy controls to AI systems or AI vendors, such as model access, data handling, or third-party risk review
Built security policies and technical controls into the software development lifecycle (SDLC) with engineering partners
Led compliance projects across multiple business units and seniority levels
Bonus if you
Built an automation or internal tool, with code or AI coding tools, even outside an engineering role
Worked with AI governance frameworks such as ISO/IEC 42001 or the National Institute of Standards and Technology (NIST) AI Risk Management Framework
Hold a Certified Information Security Manager (CISM), Certified Information Systems Security Professional (CISSP), or Certified Compliance & Ethics Professional (CCEP) certification
Compensation & Benefits:
Competitive compensation package, including equity.
Inclusive Healthcare Package.
Learn and Grow - we provide mentorship and send you to events that help you build your network and skills.
Flexible Time Off.
We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed.
The San Francisco, CA base pay range for this role is $134,000-$202,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process.
Disclosures:
Privacy:
Please review our
Job Applicant Privacy Policy
for more information on how we handle your data.
Equal Opportunity:
Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.
Задачи:
— управление бэклогом, планирование дорожной карты продукта, сбор требований
Требования:
— опыт работы от 2 лет на позициях Product Owner, Business Analyst или Systems Analyst
— сильные технические знания и понимание архитектуры программного обеспечения
— знание жизненного цикла разработки ПО (SDLC) и методологий Agile
— опыт работы с REST API, системными интеграциями и управлением заинтересованными сторонами
— хорошие навыки коммуникации на английском языке
Условия:
— возможность работать удаленно или в офисе
— гибкий график работы
— международные проекты с глобальными клиентами
— поддержка профессионального развития и сертификации
— медицинская страховка, занятия английским языком, компенсация спортивных расходов и другие бонусы
Location: Tbilisi; Yerevan; Belgrade; Novi Sad, Vojvodina; Poland; Portugal
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 FDX; our delivery arc is Sprint → Enable → Realize:
Forward Deployed Executive (FDX) owns the commercial relationship and the business outcome. Works alongside the client's leadership or C-suite level to move the client's KPIs — revenue growth, cost reduction, risk reduction.
Forward Deployed Engineer (FDE) embeds with a client to change how that client operates. You own the method; nobody hands you a ticket. You map the client workflow as it actually happens, identify the business problem underneath it, build a working AI solution, present to the client in the language of outcomes, and transfer it. Provectus maintains industry Blueprints — working systems that have already shipped for a client in the same industry — so you begin from running code and tuning it to this client's specific book, regulators, and operating posture. You will be measured on whether the Business Unit's number moved, not on hours or scope delivered.
Requirements:
Mindset
Proactive and self-directed; identify problems before they're handed to you
Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job
B2+ English, comfortable collaborating across distributed, multicultural teams
Client Engagement
You are willing to spend time understanding and doing someone else’s job on the client's side before you write a line of code
Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO, presenting outcomes to them
You can produce a scoped, phased delivery plan with clear deliverables, dependencies, and risks — and estimate what it will cost to build and to run
Technical depth
7+ years building and running production systems.
Solid AI/ML foundations. You understand what the models do well enough to reason about failure modes
Designed and 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 — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack.
Experience in making and defending architectural trade-off decisions
Hands-on AWS production depth: 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
What you’ll do:
Take the seat
Sit with the client and the Forward Deployed Executive at the start of an engagement. Learn the function from inside, not from a requirements doc, and redesign the function from first principles.
Reach working fluency in a new domain — insurance underwriting, healthcare revenue cycle, asset flow.
Build
Design and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions). Implement and optimize RAG systems for production use cases
Build the evaluation harness before you build the feature. Define what working means, instrument it, and let the evals drive the design.
Write production code across the stack — AI, backend services, data pipelines. We choose tools to fit the customer.
Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD, automated testing, monitoring, and maintainable after we leave. Hand the system over to the client.
Start from the blueprint, and feed the blueprint. What you learn in the field becomes the baseline the next engagement starts from.
Lead architecture reviews, produce technical design documents, and contribute to standards. Mentor engineers and share knowledge across the team.
Own the outcome.
Work in a pair with a FDX who carries the Business Unit’s KPIs. Your work is measured against the same number.
Own the technical direction of technical proposals and scoping. Drive adoption. Change management is part of the engineering job here.
Be credible with the customer’s engineers and their executives.
Shape what we commit to before we commit to it.
Nice to Have:
Prior experience as a founder, CTO, or engineering leader who has chosen to return to individual contribution
Experience in one of the industries: financial services, insurance, healthcare
Consulting, professional services, or other embedded customer-facing delivery
A2A: you can explain agent-to-agent interoperability
AWS and Claude Code Certifications
CI/CD pipeline experience (GitHub Actions, GitLab CI)
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 Principal Architects and Forward Deployed Engineers
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 engineering session is also possible
Location: Spain; United Kingdom; Serbia; Germany
Who we are
Action1 is an autonomous endpoint management platform trusted by many Fortune 500 companies. Cloud-native, infinitely scalable, highly secure, and configurable in minutes—it just works and is always free for the first 200 endpoints with no functional limits.
By pioneering autonomous OS and third-party patching with peer-to-peer patch distribution and real-time vulnerability assessment without requiring a VPN, Action1 eliminates routine IT labor, helps prevent ransomware and security risks, and protects the digital employee experience.
In 2025, Action1 was recognized by
Inc. 5000 as the fastest-growing private software company in America
.
The company is founder-led by
Alex Vovk and Mike Walters
, entrepreneurs who previously founded Netwrix, a multi-billion-dollar cybersecurity company.
The Role
We are looking for a Product Security Engineer to join the team responsible for securing Action1’s multi-tenant SaaS product.
In this role, you will work closely with engineering, product, and security teams to identify risks early, support vulnerability handling, improve secure development practices, and help make product security practical, clear, and actionable.
This is a hands-on role for someone who understands both software engineering and cybersecurity, enjoys working directly with developers, and wants to help build security into the product without slowing teams down unnecessarily.
What you’ll do
Support PSIRT and vulnerability handling activities
Validate, triage, track, and coordinate security reports
Provide practical remediation guidance to engineering teams
Help validate security fixes and reduce product security risks
Review code, APIs, and architecture to identify security issues early
Conduct threat modeling and security design reviews
Improve security automation in engineering workflows
Support SAST, SCA, secrets scanning, and other security controls
Maintain SBOMs, dependency visibility, and remediation follow-up
Support security assessments, vulnerability assessments, and penetration testing
Maintain vulnerability handling playbooks, product security procedures, and incident response runbooks
What we’re looking for
3+ years of experience in product security, application security, DevSecOps, or a related cybersecurity field
Strong software engineering background and ability to work effectively with engineering teams
Understanding of application, API, infrastructure, and software supply chain security risks
Experience applying cloud security concepts and practices
Understanding of IAM, network security, logging, monitoring, and secure cloud architecture patterns
Familiarity with vulnerability management, incident response, security assessments, and secure SDLC practices
Experience with threat modeling and security design reviews
Strong communication skills, including professional communication with external researchers and vendors
Ability to work independently and as part of a team in a fast-moving environment
Nice to have
Genuine interest in cybersecurity and motivation to grow as a product security expert
Hands-on experience with AWS security controls, best practices, and architecture patterns
Hands-on experience with C++ or JavaScript
Experience with security testing and automation using scripting, APIs, CI/CD pipelines, or specialized tools
Experience with threat modeling for SaaS, API, cloud, or on-prem product components
Experience with SBOM generation, dependency visibility, or software supply chain security
What we offer
Fully remote work environment
Opportunity to work on a real security product used by IT and security teams
High ownership and direct impact on product security practices
Close collaboration with engineering, product, and security teams
Fast-growing software company with low bureaucracy and practical decision-making
Opportunity to improve security processes, automation, and engineering workflows
Supportive team that values clear thinking, ownership, and continuous learning
ОфисBoston, MA
ОфисseniorBoston, MA
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ОфисBaku; The Director of QA is a senior technical leadership role responsible for owning and scaling Xsolla's quality engineering function across multiple product lines, teams, and time zones; multiple time zones; distributed across multiple time zones and cultural contexts
УдалённоseniorYerevan; Poland; Spain; Ukraine; Serbia
ГибридParis; Amsterdam; Munich; London; 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
Hybrid - San Francisco, New York City, London
УдалённоTbilisi; Yerevan; Belgrade; Novi Sad, Vojvodina; Poland; Portugal
Автоотклики