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: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
Anthropic manages one of the industry's largest AI fleets — spanning multiple accelerator families, cpu families and clouds. The Capacity Engineering team is responsible for making sure all our infrastructure resources are accounted for, well-utilized, and efficiently allocated. We own the data, tooling, and operational systems that let Anthropic plan, measure, and maximize utilization across first-party and third-party compute.
As an engineer on Capacity Engineering, you will build the production systems that power this work: data pipelines that ingest and normalize telemetry from heterogeneous cloud environments, observability tooling that gives the org real-time visibility into fleet health, and performance instrumentation that measures how efficiently every major workload uses the hardware it’s running on. You will be expected to write production-quality code every day, operate alongside Kubernetes-native infrastructure at meaningful scale, and directly influence decisions around Capacity.
You’ll collaborate closely with research engineering, infrastructure, inference, and finance teams. The work requires someone who can move between data engineering, systems engineering, and observability with comfort — and who thrives in a high-autonomy, high-ambiguity environment.
This is a pipeline role feeding four areas.
Depending on your background and business priority, you’ll focus primarily in one, but the boundaries are fluid and the problems overlap:
Data platform
Pipelines that ingest occupancy and utilization telemetry from Kubernetes clusters, normalize billing and usage across cloud providers, and serve the BigQuery tables the rest of the org queries against. Correctness, completeness, and latency are the job, not a footnote. Consumers range from research engineers to finance to leadership, so it's product work as much as engineering: defining schema contracts, making data discoverable, and figuring out what people actually need.
Planning
Knowing what the fleet has, where it's going, and what's in the way. Making the state of the fleet legible and actionable in real time: cluster health tooling, capacity planning platforms, alerting on occupancy drops and allocation problems, and systemic fixes to scheduling and fragmentation. Kubernetes operations on one side, cross-team coordination on the other.
Efficiency
Measuring and improving how effectively every major workload uses the hardware it runs on. Instrumenting utilization across training, inference, and eval systems, building benchmarking infrastructure, establishing per-config baselines, and working directly with system-owning teams to close the gaps. The metric has to be good enough that the team on the hook for it agrees with the number.
Attribution and forecasting
Connecting what the fleet costs to what the business is doing with it. Reconciling CSP billing exports against vendor telemetry and internal systems with mismatched schemas, attributing spend to the workloads and teams that generate it, and turning inference demand signals and research roadmaps into a defensible compute plan. Efficiency metrics have to survive contact with finance: stripped of pure demand and unit-price effects, reproducible month over month, and legible to a CFO.
Key responsibilities
Build the planning and allocation stack — the tools leadership uses to allocate capacity, teams use to plan against their allocations, and the scheduler enforces. Cross-region and cross-provider placement, guardrails, queueing, occupancy KPIs.
Drive the efficiency programs: stranding and rightsizing, unused capacity recovery, and job-level utilization across training, inference, and eval. Establish per-config baselines and work with system-owning teams to close the gaps. Directly influence decisions around a significant area of company investment.
Own attribution and forecasting — reconcile billing across ten-plus providers against telemetry and internal systems, attribute spend to the workloads that generate it, and turn demand signals and research roadmaps into a defensible compute plan and supply pipeline.
Build the data platform underneath all of it: pipelines ingesting occupancy, utilization, and cost from a rapidly diversifying fleet into BigQuery, with real ownership of completeness, latency SLOs, and gap detection. Every new provider is a net-new integration.
Operate Kubernetes-native systems at scale — collection agents, workload labeling, and the taint/reservation/scheduling behavior that determines what capacity is actually usable.
Treat the output as a product, not a pipeline. Gather your own requirements, define schema contracts, and design for consumers ranging from research engineers to a CFO — including on-call and SLOs, because these surfaces are load-bearing for the company.
What you bring
A strong track record building and operating production systems. This is a hands-on engineering role with a devops flavor.
Python and SQL at production quality. Most pipeline code is Python; the presentation layer is BigQuery SQL, including table-valued functions and views. Both need to be idiomatic, well-tested, and maintainable.
Deep experience with at least one major cloud provider (Amazon Web Services, Google Cloud, or Microsoft Azure) and its operations
Experience with observability tooling stack, including Prometheus, PromQL, and Grafana, including writing recording rules and building monitoring that engineering teams rely on.
Ability to gather your own requirements and work across organizational boundaries in an ambiguous environment with limited direction.
Preferred qualifications
Experience with capacity planning, resource management, or cost attribution systems at a hyperscaler or in a large-scale machine learning environment. Time spent in product engineering and developer experience absolutely counts here.
Scheduling and packing efficiency experience, or profiling-driven optimization of large distributed workloads.
Multi-cloud data ingestion experience, especially normalizing billing exports, reservation APIs, on-demand capacity reservations, commitments, and vendor telemetry from providers with different billing arrangements.
Total cost of ownership and forecasting experience, including decomposing whether infrastructure growth is causal or correlated with business drivers.
Accelerator infrastructure familiarity. GPU metrics (DCGM), TPU utilization, Trainium power and utilization metrics, or experience with machine learning training and inference systems at the hardware level.
Experience building internal data products with self-service access, schema contracts, API serving, documentation, and discoverability. Not just pipelines, but thinking about how the data gets consumed.
Storage efficiency, retention, and lifecycle program experience at very large scale.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
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 through a deeper understanding of their bodies and daily lives.
We are seeking a Senior Software Engineer, Data Platform to build and evolve the foundational infrastructure that powers our data platform, lakehouse, and real-time data systems. In this role, you will partner closely with data engineers, ML platform engineers, software engineers, and data scientists to design, develop, and operate the core services and workflows that enable reliable, scalable, and efficient data movement across the organization.
As a senior individual contributor, you will own critical parts of the platform end to end - from architecture and implementation to reliability, observability, and operational excellence. You will help shape the technical direction of WHOOP’s data ecosystem, improve developer experience for internal data consumers, and ensure our systems can support analytics, machine learning, and product innovation at scale.This role requires a strong ownership mindset, the ability to operate with minimal guidance, and a focus on delivering production grade systems.
You are also expected to actively leverage AI assisted development tools to improve speed, quality, and maintainability, and to help set the standard for effective AI usage across the team.
RESPONSIBILITES:
- Design, build, and operate the core infrastructure and services that power WHOOP’s data platform, including lakehouse, warehouse, and streaming systems.
- Improve the performance, reliability, and cost efficiency of our data systems, including Iceberg, Snowflake, and AWS-based data infrastructure.
- Build and enhance internal tooling, APIs, and automation that improve platform usability and developer experience for data engineers, analysts, and data scientists.
- Lead platform engineering best practices across CI/CD, infrastructure as code, testing, deployments, and operational readiness.
- Strengthen observability and operational excellence through monitoring, alerting, incident response, and continuous improvement of production systems.
- Partner cross-functionally with Data Science, Analytics, ML Platform, and Software Engineering teams to support scalable and efficient data workflows.
- Drive best practices for data architecture, pipeline design, governance, and platform usage across the company.
- Leverage AI tools to accelerate development, improve code quality, and enhance debugging and documentation workflows
QUALIFICATIONS:
- BS in Computer Science, Engineering, or equivalent experience
- 5+ years of experience in data engineering, platform engineering, or software engineering with significant ownership of production data systems.
- Strong proficiency in Python and SQL. Java experience is nice to have.
- Experience designing and operating scalable data platforms, pipelines, or distributed data systems in production environments.
- Hands-on experience with Snowflake and modern cloud data infrastructure.
- Experience with AWS services such as S3, EKS, EMR, EC2, or related cloud-native infrastructure.
- Experience with orchestration frameworks such as Airflow or Prefect.
- Strong understanding of CI/CD, infrastructure as code, and DevOps practices for data platforms.
- Ability to independently drive technical projects and own systems end to end with a high degree of autonomy.
- Strong communication and collaboration skills, with the ability to work effectively across engineering and data teams.
- Commitment to leveraging AI-assisted development tools thoughtfully and effectively, while maintaining a high bar for engineering quality.
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.
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 $150,000-$215,000. 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.
Learn more about WHOOP https://www.whoop.com/us/en/careers/?srsltid=AfmBOopKmph9d0DLBlogZu8mx6do0dzjNS8eJlfc4PQqQtdU6F8DGKBg.
Задачи:
— разрабатывать новые продукты, сервисы и UI в рамках инициатив
— исследовать и привносить новые подходы и инициативы в процессы команды (PDLC, product development lifecycle)
— повышать стабильность приложений за счёт автоматизации и написания тестов
— разрабатывать backend-сервисы платформы на Python и развивать существующие компоненты
— проектировать и реализовывать API и интеграции с внешними системами и инфраструктурными компонентами
— использовать AI-инструменты для ускорения разработки и валидировать их решения — через ревью, тесты и проверку на соответствие требованиям
— участвовать в проектировании архитектуры сервисов, ревью кода и разборе инцидентов
Требования:
— общий опыт работы не менее 5 лет
— front: TypeScript, React/Vue, Tailwind
— backend: Node.js/Python, PostgreSQL
— DevOps: CI/CD, GitLab, Docker, GitHub Actions
— умение декомпозировать крупную задачу на части, годные для постановки агенту, и собирать из них целостное решение
— вайбкодинг и практический опыт разработки кода с AI-агентами: Codex, GigaCode, Gemini, Claude Code, Qwen Code или аналоги
— продуктовое мышление: важно не просто «закрыть таску», а запустить фичу, которая принесёт пользу конечным клиентам
— понимание принципов наблюдаемости, отказоустойчивости и надёжной эксплуатации сервисов
— готовность нести ответственность за итоговое качество кода независимо от того, написан он вручную или с помощью агента
Будет плюсом:
— несколько завайбкоженных проектов в портфолио
— опыт работы с OpenClaw или схожими платформами оркестрации агентных систем
Условия:
— работа над платформой для GenAI-агентов, часть технологического контура банка
— AI-инструменты — рабочая норма, ценится инженер с system design и ответственностью за качество
— много нового функционала без тяжёлого legacy, изменения доводятся до промышленного контура
— прозрачные процессы, регулярное улучшение инженерных практик, атмосфера открытости и взаимопомощи
— гибридный формат работы, офис рядом с м. Кутузовская
— ДМС и корпоративные льготы
Location: Remote - US
About the Job:
The Mid-Market Account Executive will drive LaunchDarkly's growth across a blended book of net-new and existing accounts. Acting as the "quarterback" for a defined book of business, you will develop and execute account strategies, run technical discovery and proof-of-concept cycles, and help customers successfully test, purchase, and adopt LaunchDarkly's platform.
Responsibilities:
Pipeline Generation: Qualify and convert inbound leads at a rapid pace while prospecting into ICP target accounts.
Value Articulation: Articulate and sell the value of LaunchDarkly's platform subscriptions and usage-based pricing model.
Technical Discovery: Prepare for and run discovery sessions with prospects to surface core use cases and align pricing to third-party architectures (AWS, Azure, GCP).
Solution Demonstration: Customize and deliver demos with the Solutions Engineering team, and run proofs of concept for prospects.
Account Expansion: Own, build, and develop relationships with existing customers, uncovering and developing new opportunities within the install base.
Customer Success: Educate, evangelize, and guide customers through successful adoption, delivering their feedback back to Product and Engineering.
Revenue Growth: Consistently hit revenue targets across both net-new and expansion motions.
Collaboration: Work with your manager, Sales Engineers, and cross-functional teams to ensure seamless execution and customer success.
Strategic Thinking & Execution:
Design and execute account strategies that balance net-new acquisition with expansion of existing customers.
Identify and capitalize on usage-based pricing signals and third-party architecture fit to prioritize opportunities.
Adapt strategies as customer needs and market dynamics evolve, ensuring continuous growth and a competitive edge.
Full-Cycle Sales Expertise:
Proven track record managing a full sales cycle, from inbound qualification and prospecting through close and expansion.
Deep understanding of usage-based pricing models and the ability to manage discovery, demo, and proof-of-concept stages.
Skilled in selling to Engineering Leaders, Platform Teams, CTOs, CIOs, and other technical decision-makers.
Customer-Centric Problem Solving:
Assess customer pain points and design tailored solutions, including proofs of concept, that create measurable value.
Build long-term relationships with existing customers, acting as a trusted advisor who drives product adoption.
Overcome obstacles and find innovative ways to expand LaunchDarkly's footprint within an account.
Independent Decision Making:
Work autonomously with minimal day-to-day supervision, making sound decisions based on account signals and data.
Take ownership of your book of business, managing both acquisition and expansion motions with confidence.
Prioritize tasks and make decisions quickly, ensuring alignment with broader revenue goals.
Analytical Skills & Data-Driven Insights:
Gain and apply an understanding of third-party cloud architectures to accurately position and price the usage-based model.
Evaluate account signals and customer data to prioritize the accounts most likely to convert or expand.
Keep all data current in SFDC, Aviso, and Outreach, and use these tools to track and analyze performance.
Negotiation & Deal Structuring:
Negotiate platform subscription agreements that balance customer needs with company goals.
Create mutually beneficial agreements that support long-term adoption and expansion.
Handle objections, overcome resistance, and close deals in a competitive market.
Communication & Influence:
Exhibit strong verbal and written communication skills, with the ability to influence and persuade key stakeholders.
Present solutions and negotiate with technical decision-makers, ensuring clear understanding and alignment.
Communicate complex, usage-based pricing concepts concisely and compellingly to diverse audiences.
Collaboration & Team Leadership:
Collaborate effectively with your manager, Sales Engineering, Product, and Customer Success to align efforts and drive growth.
Demonstrate leadership in managing internal resources, ensuring alignment with company goals.
Motivate and influence team members across departments to achieve common objectives.
Results-Driven Focus:
Maintain a strong focus on achieving measurable outcomes across both new-logo and expansion revenue.
Accurately forecast sales targets on a weekly, monthly, and quarterly basis.
Take ownership for results, holding yourself accountable for hitting quota.
Qualifications:
2+ years of full-cycle sales experience.
Proven track record of hitting or exceeding quota.
Exceptional written and spoken communicator.
Highly organized and autonomous.
Comfortable and energized operating in a fast-moving organization.
Entrepreneurial and self-motivated.
Enthusiastic about learning and growing at LaunchDarkly.
Intellectually curious and ambitious.
Knowledge or experience in the developer tool space a plus.
Experience selling to mid-market companies a plus.
Pay:
Target pay ranges based on Geographic Zones* for Level 3:
Zone 1:
San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle
-
$
136,000 - $187,000
**
Zone 2:
Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $1
22,000 - $168,000
**
Zone 3:
All other US locations - $
116,000 - $159,000
**
LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location.
*Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas.
**Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary.
About LaunchDarkly:
Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations.
The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by:
Improving the velocity and stability of software releases, without the fear of end customer outages
Delivering targeted experiences by easily personalizing features to customer cohorts
Maximizing the business impact of every feature through the ability to experiment and optimize
Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types
Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability
At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at
hr@launchdarkly.com
.
Do you need a disability accommodation?
Fill out this
accommodations request form
and someone from our People Operations team will contact you for assistance.
Your safety matters to us.
To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from
@LaunchDarkly
.com email addresses or via LinkedIn from "Verified Recruiter" accounts.
Be cautious of emails from other domains. Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit
Careers | LaunchDarkly
directly for confirmed job openings and links to apply.
Please notify us of any fraudulent representation by sending an email to
careers@launchdarkly.com
.
Задачи:
— Проектировать, развертывать и управлять инфраструктурой AWS от сетей до мультиаккаунтной архитектуры и платформ EKS.
— Автоматизировать развертывание и обновления с помощью Infrastructure-as-Code (Terraform/OpenTofu) и GitOps.
— Сотрудничать с продуктовыми и функциональными командами для создания возможностей самообслуживания и поддержания автономии разработчиков.
— Обеспечивать надежность, безопасность и экономичность платформы, включая соответствие требованиям FedRAMP и FIPS.
— Разрабатывать новые архитектурные возможности для поддержки масштабируемости, устойчивости и AI-нагрузок.
— Участвовать в общем дежурстве для поддержания стабильности платформы.
Требования:
— Опыт работы не менее 5 лет в роли Platform, DevOps, Software или Site Reliability Engineer.
— Глубокие практические знания AWS сервисов: VPC, CloudFront, API Gateway, EKS.
— Владение Kubernetes и Infrastructure as Code (Terraform или OpenTofu) с подходом GitOps.
— Высшее образование в области компьютерных наук, инженерии или эквивалентный опыт.
— Готовность проживать или переехать в Мадрид, Испания.
— Свободное владение английским языком.
Плюсом будет:
— Опыт работы в средах с требованиями соответствия (FedRAMP или FIPS).
— Опыт создания внутренних платформ для разработчиков (IDP) с современными инструментами.
— Опыт работы с архитектурами на основе ячеек или мульти-региональными архитектурами в масштабе.
Условия:
— Постоянный контракт с конкурентной оплатой и ежегодным бонусом за результаты.
— Гибридный формат работы с офисом в центре Мадрида рядом со стадионом Бернабеу.
— Частная медицинская страховка (Sanitas) и полностью оплачиваемые суточные ваучеры на питание.
— Неограниченный оплачиваемый отпуск плюс 23 стандартных праздничных дня и 3 дня волонтерства.
— Гибкий график, компенсация абонемента в спортзал, а также компенсация расходов на уход за детьми и транспорт.
— Возмещение до 50% стоимости курсов английского и испанского языков.
Role Description
The Risk Manager - Platform Risk reports to the Senior Manager of Risk Management and IT Compliance team within Tech Risk Operations (TRO). This is a first-line of defense risk team responsible for Central Tech business unit risks & Security risks across the company. The Risk Manager - Platform Risk is a people manager role, focused on leading a team of individuals to enable consistent identification of technology-related risks for key Central Tech business unit technology platforms. These technology platforms enable the business to build and run in-house developed applications that support the core of our Business. The Risk Manager - Platform Risk possesses both a strong technical understanding of DevOps IT technology and expertise in various risk domains. These domains include cybersecurity, IT, privacy, regulatory compliance, broader enterprise risks, Trust & Safety, cybersecurity regulatory compliance, and e-commerce fraud. This role involves identifying technology-related risks across core DevOps technology platforms, encompassing both public cloud and on-premise infrastructure. This includes (but is not limited to) public and private cloud platforms, like AWS, GCP, Azure, Kubernetes, Gitlab, CI/CD Tooling, etc. This role also requires embedding secure software development principles and tooling (SAST, DAST, SCA) into BAU development practices, to apply them effectively to DevOps technology platforms. The Risk Manager - Platform Risk is also a subject matter expert leveraging a deep understanding of the enterprise risk discipline combining deep knowledge of theory and organizational practice or expertise across several different disciplines within a function. Effective first-line risk professionals are adaptable individuals who can engage with diverse senior technical stakeholders (Senior Engineering Managers, Product Owners, developers, etc.) This necessitates strong communication skills, technical proficiency, an ability to foster collaboration, incorporate different viewpoints, and steer efforts toward positive business results in managing IT risks and ensuring IT regulatory compliance obligations are met. This position requires strong stakeholder management skills and requires an individual who can convince others who are skeptical or unwilling to accept new concepts, practices and approaches. This position involves extensive collaboration with senior technical stakeholders to ensure the consistent maintenance of existing IT controls across the organization. Success in this role requires exceptional stakeholder management skills, including the ability to build strong relationships, effectively communicate complex information, and persuasively influence individuals and teams, even when faced with resistance to necessary changes and the adoption of new security protocols. The ability to navigate organizational complexities and foster a culture of IT risk management, security awareness and compliance is critical. This role is also a people manager position and is fully responsible for managing a team of individuals and continuously improving the area under their scope. This manager will be responsible for leading and managing a team of internal and/or external resources (e.g. Risk Analysts, Risk Officers, consultants). They are comfortable leading a team to come up with robust, scalable and automated solutions that mitigate key risks while enabling successful business operations across multiple core platforms.
Key Responsibilities and Duties
— Attract, engage, develop, and retain talent to their full potential by fostering a supportive work environment that emphasizes continuous feedback, coaching, and mentorship programs, ensuring comprehensive growth for all crafts.
— Coaching your team on and consistently role model the Booking values on Think Customer First, Own It, Learn Forever, Succeed Together, and Do the Right Thing.
— Drive initiatives effectively involving multiple technical first-line senior stakeholders, re-prioritising tasks when beneficial.
— Formulate and implement tactical plans and objectives within Platform Risk Management that are in alignment with Central Tech business objectives and ensure the achievement of annual goals.
— Establish team priorities, delegate projects, allocate resources, and provide regular communication to management and business partners regarding business performance and project progress.
— Advise first-line stakeholders with specialized knowledge and expertise in IT risk, cybersecurity and regulatory compliance risk.
— Assume responsibility for the identification of technological risks and the formulation of control design proposals.
— Offer guidance on control design that is sustainable and appropriately scaled, ensuring that solutions are commensurate with the complexity of the issues addressed and avoiding unnecessary overengineering.
— Drive business engagement in the Central Tech business unit to provide risk and compliance awareness for teams that have a clear need to manage risks without significantly affecting their development velocity and/or play a key role towards achieving strategic objectives in the company.
— Develop and maintain IT and security policies and procedures for secure software development & collaborate with development teams to integrate secure software development practices and principles into CI/CD pipelines.
— Support senior stakeholders across central tech helping to promote and embed risk and compliance ownership across the business as well as to broaden and expand their knowledge base of both the internal and external risk environment.
— Follow broader ERM strategy defined by R&C and implement it into execution within the first-line of defense (business) and drive continuous improvement of risk assessment methodologies through ongoing collaboration with second-line risk and controls teams, ensuring alignment with practical business objectives.
— Support the team to identify ways to increase their business impact and improve the team’s product(s) and ways of working.
— Liaise with other risk and audit teams (Risk and Controls, Internal Audit, external auditors, etc.) to provide a more in-depth technical risk perspective, as needed.
— Stay current with emerging cyber threats and security best practices in DevOps environments.
Knowledge and Skills
— Strong risk and control or audit/assurance background with a deep understanding of operational and technology risk - L4
— Strong working experience with IT General Controls (ITGCs), especially in fast-paced DevOps environments
— Strong understanding of technology risk management, controls, and compliance, especially for public cloud platforms and DevOps Tooling - L4
— Experience and understanding of applicable regulations such as Sarbanes Oxley, PCI-DSS, GDPR and CCPA - L4
— Familiarity with industry-standard Cybersecurity regulatory frameworks such as NIST, ISO27001 and CIS - L3
— Understanding of cybersecurity risks and data protection principles - L3
— Technical AWS certifications (AWS Certified Solutions Architect, AWS Certified Security) are a plus
— Knowledge of secure software development practices and tooling (SAST, DAST, and SCA tools)
— Ability to cultivate solid relationships with business partners in order to drive the adoption of the risk management culture
— Thorough technical understanding of internal control requirements and design and experience in applying them in various businesses
— Able to split large tasks into logical, manageable and decoupled actions which are managed effectively and delivered on time
— Be flexible and agile in response to the change in business, change in stakeholder expectations and/or change in regulatory/operating environment of B.com
Level of Education: Bachelor/Master
Years of relevant Job Knowledge: Extensive Knowledge (8 - 12 years)
Benefits & Perks
— Headquarters located in one of the most dynamic and cosmopolitan cities in Europe: Amsterdam.
— Contribute to a high‑scale, sophisticated, world‑class product and see the real‑time impact of your work on millions of travelers worldwide.
— Be part of a truly international fast‑paced environment and performance‑driven culture.
— Full relocation support for you and your family to move to Amsterdam.
— We have fine‑tuned this process by successfully relocating hundreds of Technology professionals to Amsterdam in recent years.
— Performance‑based company that offers 29 vacation days, career advancement, and lucrative compensation, including bonuses and stock potential.
— Discount on Booking.com accommodations with the “Booking Deal” including other perks and benefits.
— Company‑sponsored family and social activities to help our employees become integrated with each other and Dutch culture.
— Diverse and creative colleagues from every corner of the world.
— Health, life, and disability insurance*.
— Annual paid time off and generous paid leave scheme including: parent, grandparent, bereavement, and care leave.
— Hybrid working including flexible working arrangements, and up to 20 days per year working from abroad (home country).
— Industry‑leading product discounts for yourself, friends, and family, including automatic Genius Level 3 status and quarterly Booking.com wallet credit.
— Free access to online learning platforms, development and mentorship programs, and a complimentary Headspace membership.
— On‑site meals, coffee, and snacks, including healthy and vegan options, daily*.
— Benefits may vary slightly depending on location and contract type.
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
Задачи:
— Проектирование, разработка, оптимизация и поддержка ETL процессов для загрузки данных из различных источников
— Управление потоковой обработкой данных с использованием Apache Kafka (разработка продюсеров/консьюмеров, управление топиками, обеспечение надежности и отказоустойчивости)
— Разработка и оптимизация структур данных, схем и запросов в PostgreSQL для операционных и транзакционных задач
— Построение, администрирование и тонкая настройка ClickHouse кластеров для обеспечения высокой производительности аналитических запросов на больших объемах данных
— Разработка и поддержка решений на базе ClickHouse (или связки PostgreSQL + ClickHouse)
— Интеграция данных между PostgreSQL, Kafka, ClickHouse и другими компонентами инфраструктуры (API, очереди, S3)
— Мониторинг производительности, отказоустойчивости и безопасности data pipeline и баз данных
— Автоматизация процессов обработки данных и развертывания (CI/CD)
— Взаимодействие с аналитиками, разработчиками и product owner'ами для понимания потребностей в данных и их реализации
— Устранение неисправностей в pipeline данных и базах данных
Требования:
— Опыт работы от 2-х лет на Python, знание Golang (будет плюсом)
— Опыт разработки и администрирования ClickHouse (знание особенностей движков таблиц, оптимизация запросов, кластеризация, репликация, шардирование)
— Глубокое понимание и практический опыт работы с Apache Kafka, настройка и обеспечение надежности потоков данных
— Опыт работы с PostgreSQL (написание сложных SQL-запросов, оптимизация производительности, понимание механизмов транзакций, репликации)
— Понимание принципов построения ETL процессов
— Знание SQL на продвинутом уровне
— Понимание принципов DevOps (Docker, Kubernetes, Linux, CI/CD) применительно к инфраструктуре данных
NDA - это продуктовая IT компания, ключевым направлением которой является создание и продвижение информационных порталов в игровых нишах на западных рынках. Компания совершенствует ERP систему для управления и анализа эффективности маркетинговых процессов. Сейчас ищут Middle Python Developer в команду инжиниринга.
Почему стоит выбрать эту компанию:
Работа в команде с четкой целью и процессами.
Много возможностей для развития.
Стабильная компания, стремящаяся стать полноценной экосистемой.
Компания и руководство ценят людей.
Гибкий выбор технологий и следование передовым технологиям.
Рост сотрудников через менторство и код ревью.
Задачи идут от бизнеса с сильной технической базой.
Разные направления: analytics, web dev, infrastructure.
Что предлагают:
Опыт работы инженером, который понимает бизнес-контекст.
Работа в команде с выстроенными процессами по дизайну, тестированию и разработке.
Разработка b2b продукта с ежедневной обратной связью пользователей.
Работа с опытным ментором (Team Lead) с опытом data engineering 7+ лет.
Проект ориентирован на западные рынки.
Регулярный пересмотр вклада через Performance Review.
Отсутствие легаси кода.
Soft Skills:
Знание английского на уровне pre-intermediate и выше.
Знакомство с гибкими методологиями разработки (Scrum).
Отличные коммуникативные навыки.
Навыки влияния, ведения переговоров и общения.
Умение справляться со стрессом.
Продуктовое мышление.
Проактивность и предложение эффективных решений.
Страсть к коду.
Hard Skills:
Опыт коммерческой разработки на Django 3.x+ (ссылка на GitHub обязательна).
Уверенное владение Pandas для обработки и анализа данных.
Опыт настройки и работы с Celery и Redis в продакшене.
Знание инструментов автоматического тестирования Django-проектов (pytest, unittest, factory_boy).
Умение работать с Docker и Docker Compose.
Практический опыт с GraphQL (Strawberry).
Оптимизация кеширования через cacheops.
Базовые навыки конфигурации Nginx для развёртывания Django-приложений.
Глубокое понимание работы с PostgreSQL: индексы, оптимизация запросов, миграции.
Преимущества:
Готовность быстро вливаться в инфраструктуру без обучения.
Интерес к DevOps и системному подходу.
Опыт или желание развиваться в AWS-экосистеме.
Владение английским для чтения документации и общения.
Обязанности Middle Python Developer:
Поддержка и развитие существующего продукта без внешнего менторинга.
Разработка и поддержка системы автотестов.
Работа с бизнес-скриптами: сбор, трансформация и выгрузка данных.
Расширение функционала согласно приоритетам бизнеса.
Внесение инженерных предложений и оптимизационных решений.
Обеспечение масштабируемости и надёжности системы.
Постоянное улучшение качества кода, архитектуры и производительности.
Процесс взаимодействия с кандидатами:
Welcome интервью (40 минут).
Техническое собеседование (60 минут).
Решение рабочих кейсов.
Интервью с COO (20 минут).
Оффер.
Задачи:
- Разработка и сопровождение backend-сервисов на Python в микросервисной архитектуре
- Разработка нового функционала платформы мониторинга и валидации моделей
- Участие в развитии компонента автоматизированной валидации моделей
- Проектирование и реализация REST API и интеграционных взаимодействий между сервисами
- Разработка и сопровождение интеграций с внутренними системами банка
- Оптимизация производительности приложений и SQL-запросов
- Участие в проектировании технических решений и code review
- Анализ, локализация и устранение дефектов
- Развитие и поддержка пользовательского интерфейса платформы на React
- Взаимодействие с аналитиками, тестировщиками, DevOps-инженерами и другими участниками команды
Требования:
- Опыт коммерческой разработки на Python от 3 лет
- Уверенное знание Python 3 и принципов разработки ПО
- Опыт разработки backend-приложений с использованием FastAPI
- Опыт проектирования и разработки REST API
- Уверенные знания SQL и опыт работы с реляционными базами данных
- Опыт работы с SQLAlchemy
- Опыт работы с React и TypeScript
- Опыт разработки и сопровождения пользовательских интерфейсов
- Опыт работы с Kafka или аналогичными брокерами сообщений
- Понимание принципов микросервисной архитектуры
- Опыт работы с Docker и Git
- Понимание CI/CD-процессов
- Способность самостоятельно решать задачи и принимать технические решения на уровне Middle+
Location: Seoul
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 Job
Mistral AI is seeking a senior Applied AI Engineer focused on DevOps to facilitate the adoption of its products among customers and collaborate with them to address complex technical challenges.
Applied AI Engineers, ML Infra at Mistral AI work directly with customers to quickly understand their greatest challenges and design and implement AI solutions. In this role, you’ll apply your problem-solving ability, creativity, and technical skills to help organizations use AI to drive real impact in the world. You’ll have the opportunity to gain rare insight into and contribute to some of the most important industries and institutions globally!
Applied AI Engineers, ML Infra responsibilities look similar to those of a startup CTO: you’ll work in small teams and own end-to-end execution of high-stakes projects. A day might span discussing architecture with fellow engineers, wrangling massive-scale data, coding a custom web app, speaking with customer executives, or establishing a strategy for the Applied Engineering team.
What you will do
• You’ll be responsible for onboarding customers on our products, providing guidance on deployment and integration, and ensuring the best production setup from the low-level GPU stack up to infrastructure, back-end and front-end interfaces.
• You’ll work on deploying state-of-the-art AI applications from consumer products to industrial use cases, driving with our customers a crucial technological transformation.
• You’ll work in collaboration with our researchers, other AI engineers, and product engineers on our most complex customer projects involving deployment, scaling, and contributing to our open-source codebases for tasks such as inference and fine-tuning.
• You’ll be involved in pre-sales calls to understand potential clients' needs, challenges, and aspirations. You will provide technical guidance on our products and explain Mistral technologies to various stakeholders.
About you
• You are fluent in English and Korean
• You hold a Bachelor's or Master's degree in Computer Science, Engineering, or a related field
• You have 8+ years of experience in a DevOps or Site Reliability Engineering role
• You're experienced with deploying and managing AI-based products in production environments
• You are fluent in Python
• You have experience with containerization technologies such as Docker and Kubernetes
• You have experience with CI/CD pipelines and automated deployment tools
• You have deep understanding of cloud platforms (AWS, Azure, GCP) and on-premises infrastructure
• You are experienced with infrastructure as code (IaC) tools such as Terraform or Ansible
• You hold strong communication skills with an ability to explain complex technical concepts in simple terms to technical and non-technical audiences
Ideally you have:
• Experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect, or Technical Product Manager
• Familiarity with AI frameworks such as PyTorch or TensorFlow
• Contributions to open-source projects, particularly in the space of DevOps or AI
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: Paris; Amsterdam; Warsaw; Munich; London; Berlin
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.
THE ROLE
As a Site Reliability Engineer (SRE) on the Cloud Platform team, you will shape the reliability, scalability, and performance of our Cloud platform and customer-facing applications. You’ll work closely with software engineers and product teams to ensure our systems meet and exceed the expectations of both internal and external customers.
This role is critical in maintaining the stability and efficiency of our infrastructure, enabling seamless experiences for users and developers. Your expertise will directly impact the robustness of our AI platform, ensuring it operates at scale with minimal downtime.
WHAT YOU WILL DO
- Design, build, and maintain scalable, highly available, and fault-tolerant infrastructures to support our Cloud platform.
- Operate systems and troubleshoot issues in production environments, including interrupts, on-call responses, and infrastructure scaling.
- Implement and improve monitoring, alerting, and incident response systems to minimize downtime and optimize performance.
- Develop and maintain workflows and tools for CI/CD, containerization, orchestration, monitoring, and logging.
- Participate in on-call rotations to respond to incidents and perform root cause analysis to prevent recurrence.
- Drive continuous improvement in infrastructure automation, deployment, and orchestration.
- Collaborate with software engineers to enable safe and reproducible model-training experiments.
- Build and enhance a cloud platform that abstracts infrastructure complexities for science and engineering teams.
- Design and develop new workflows, tooling, and automation to improve system reliability, availability, and performance.
- Ensure infrastructure adheres to security best practices and compliance requirements in collaboration with the security team.
- Document processes and procedures to ensure consistency and knowledge sharing across the team.
WHAT WE'RE LOOKING FOR
- A Master’s degree in Computer Science, Engineering, or a related field.
- 5+ years of experience in a DevOps or SRE role, with strong expertise in bare metal infrastructure and distributed systems.
- Hands-on experience with site reliability issues, including root cause analysis, in-production troubleshooting, and on-call rotations.
- Proficiency in working with reliability KPIs, such as observability, alerting, and SLAs.
- Experience with CI/CD, containerization, and orchestration tools like Docker and Kubernetes.
- Knowledge of monitoring, logging, alerting, and observability tools such as Prometheus, Grafana, ELK Stack, or Datadog.
- Familiarity with infrastructure-as-code tools like Terraform or CloudFormation.
- Proficiency in scripting languages (Python, Go, Bash) and a strong understanding of software development best practices.
- Solid grasp of networking, security, and system administration concepts.
- Excellent problem-solving and communication skills, with the ability to work effectively in a collaborative environment.
- Experience in an AI/ML environment, high-performance computing (HPC) systems, or modern AI-oriented solutions (e.g., Fluidstack, Coreweave, Vast) is a plus.
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: 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.
THE ROLE
As a Site Reliability Engineer (SRE) on the Platform team, you will shape the reliability, scalability, and performance of our platform and customer-facing applications. You’ll work closely with software engineers and research teams to ensure our systems meet and exceed the expectations of both internal and external customers.
This role balances day-to-day operations on production systems with long-term software engineering improvements. Your work will reduce operational toil, foster reliability, and ensure high availability for our web services, inference environments, and ML workloads. You’ll enable seamless replication of work environments across multiple HPC clusters, directly impacting the stability and efficiency of our AI platform.
WHAT YOU WILL DO
- Design, build, and maintain scalable, highly available, and fault-tolerant infrastructures to support web services and ML workloads.
- Ensure our platform, inference, and model training environments are always highly available and enable seamless replication across HPC clusters.
- Operate systems and troubleshoot issues in production, including interrupts, on-call responses, and infrastructure scaling.
- Implement and improve monitoring, alerting, and incident response systems to minimize downtime and optimize performance.
- Develop and maintain workflows and tools for CI/CD, containerization, orchestration, monitoring, and logging.
- Participate in on-call rotations to respond to incidents and perform root cause analysis.
- Drive continuous improvement in infrastructure automation, deployment, and orchestration using tools like Kubernetes, Flux, and Terraform.
- Collaborate with AI/ML researchers to enable safe and reproducible model-training experiments.
- Build a cloud-agnostic platform that abstracts infrastructure complexities for science and engineering teams.
- Design and develop new workflows, tooling, and automation to improve system reliability, availability, and performance.
- Work with the security team to ensure infrastructure adheres to best practices and compliance requirements.
- Document processes and procedures to ensure consistency and knowledge sharing across the team.
WHAT WE'RE LOOKING FOR
- A Master’s degree in Computer Science, Engineering, or a related field.
- 7+ years of experience in a DevOps or SRE role, with strong expertise in cloud computing and distributed systems.
- Hands-on experience with site reliability issues, including root cause analysis, in-production troubleshooting, and on-call rotations.
- Proficiency in working with reliability KPIs, such as observability, alerting, and SLAs.
- Experience with CI/CD, containerization, and orchestration tools like Docker and Kubernetes.
- Knowledge of monitoring, logging, alerting, and observability tools such as Prometheus, Grafana, ELK Stack, or Datadog.
- Familiarity with infrastructure-as-code tools like Terraform or CloudFormation.
- Proficiency in scripting languages (Python, Go, Bash) and a strong understanding of software development best practices.
- Solid grasp of networking, security, and system administration concepts.
- Excellent problem-solving and communication skills, with the ability to work effectively in a collaborative environment.
- Experience in an AI/ML environment, high-performance computing (HPC) systems, or modern AI-oriented solutions (e.g., Fluidstack, Coreweave, Vast) is a plus.
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: Paris; Warsaw; 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.
Role Summary
We are seeking a talented and experienced platform engineer to join our Research Platform team. You'll work closely with our R&D team to build a cloud agnostic platform that improves the stability, scalability and velocity across the research department. You'll help create and optimize tools that empower researchers to make the most of high performance clusters.
Location: Paris / Warsaw / London (hybrid) or remote EU/UK with one hub visit per month.
What you will do
As a Platform Engineer, your responsibilities will include (but may not be limited to):
• Designing and implementing complex systems (e.g. scale our research CI with a strong focus toward reliability, reproducibility and speed)
• Building flexible yet solid and accessible development environment for researchers, so they can focus on core mission.
• Designing, implementing and advocating for solutions addressing large amounts of data and maintainable data pipelines.
• Optimizing a variety of builds: container images, large libraries compilation times, python environments...
• Building strong relationships with researchers, understanding their workflow and enabling them to achieve more by leveraging your expertise.
• Communicating and producing documentation or any content that will help them to make the most out of the tools and systems you'll build.
• Being part of the team that "platformizes" research and constantly improve the daily experience for researchers while avoiding future roadblocks.
About you
• 5+ years of successful experience in a similar DX / DevOps / SRE role.
• Proficiency in software development (Python, Go...) and programming best practices.
• Exposure to site reliability engineering: root cause analysis, in-production troubleshooting, on-call rotations...)
• Exposure to infrastructure management: CI/CD, containerization, orchestration, infra-as-code, monitoring, logging, alerting, observability...).
• Technical product mindset (e.g. understanding how to debug poor adoption).
• Excellent problem-solving and communication skills (ability to contextualizing, gauging risks and getting buy-in for high stakes and impactful solutions).
• Ownership, high agency and constantly seeking to learn and improving things for others.
• Autonomous, self-driven and able to work well in a fast-paced startup environment.
• Low ego and team spirit mindset.
Your application will be all the more interesting if you also have:
• First hand Bazel (or equivalent) experience.
• Strong knowledge of Python's ecosystem.
• Familiarity with GPU based workloads and ecosystems.
• Experience of full remote environments (you're comfortable with having some of your users on the other side of the globe).
Location and Remote
This role is primarily based at one of our European offices (Paris, Warsaw and London). We will prioritize candidates who either reside there or are open to relocating. We strongly believe in the value of in-person collaboration to foster strong relationships and seamless communication within our team. In certain specific situations, we will also consider remote candidates based in one of the countries listed in this job posting — currently France & UK. In that case, we ask all new hires to visit our local office:
• for the first week of their onboarding (accommodation and travelling covered)
• then at least 3 days per month
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: CAN: Vancouver (333 Seymour St)
Workplace: Hybrid
The role / impact
You will deliver high-quality, impactful software that aligns with team and business goals, always keeping customer needs and outcomes front of mind. By identifying and solving complex, ambiguous problems independently, you will produce robust, high-quality, and scalable software that helps change the world by supporting small businesses. Your daily work will focus on systems, scalability, and engineering quality while collaborating across teams to drive technical excellence and developer efficiency.
Through clear and thoughtful communication, you will ensure stakeholders are well-informed and aligned. You will play a key part in fostering an inclusive team culture by mentoring others and sharing feedback with empathy. Your active participation in planning, delivery, and continuous improvement will contribute directly to the success of the broader Xero community.
The team / how they connect
You will join the Accounting Core team within Product Platforms, which forms the critical foundation underneath core product areas like invoices, bills, payments, and payroll. The team exists to make it easy for other groups across Xero to build on a strong foundation of accounting concepts, data, and libraries safely and efficiently. Operating across Wellington and Vancouver, we collaborate closely to reduce tight coupling, establish clear service boundaries, and accelerate product velocity global-wide.
The team is currently working on / Initially, you will focus on
- Transitioning from a monolithic architecture to modern microservices to remove delivery bottlenecks and improve efficiency.
- Building and operating services in a production cloud environment utilizing C#, .NET Core, and AWS.
- Resolving complex legacy problems, database scalability challenges, and modernizing service interfaces or APIs.
- Automating manual processes and applying test-driven and trunk-based development practices.
Where and how you can work
This role is based at our on-site location in Vancouver. We operate on a hybrid model where you will spend one to two days a week in the office for collaborative technical discussions and team alignment, with the flexibility to work from home on the other days. You will also have the opportunity to travel to New Zealand for onboarding after your first couple of weeks.
Here are some of the things we are looking for
- You bring proficient backend development experience with one or more programming languages such as C#, .NET, Java, or Go.
- A solid understanding of distributed systems concepts, including service-to-service communication, eventual consistency, and resilience patterns belongs in your toolkit.
- Your background features practical experience working with relational databases where transactional data integrity and ACID principles are critical.
- Having a familiar working knowledge of modern DevOps practices, automated testing, and continuous integration pipelines will help you succeed.
- Showing an interest in utilizing modern artificial intelligence tools will enable you to enhance personal productivity and streamline engineering workflows.
- You possess strong communication and collaboration skills, with the capacity to manage internal stakeholders like a technical product partner.
Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.
Compensation & Total Rewards
At Xero, we value the impact and skills you bring to the team. We believe in a Total Package philosophy - ensuring your value is recognized through a holistic lens that includes base salary, performance incentives, and world-class benefits.
The expected base salary range for this role is 131,800 - 150,000 CAD.
Individual pay is determined by various factors, including geography, level of experience, and the specific skills you bring to the role.
In addition to base pay, Xero’s roles are eligible for the following forms of variable compensation:
- Variable Pay: Permanent employees are eligible to participate in our annual bonus and equity (RSU) programs. You may also be eligible for performance-based cash or equity (RSUs) incentives depending on your role level, and company performance.
- Comprehensive Benefits: World-class health, wellness, and retirement programs. Xero Perks https://careers.xero.com/inside-xero/benefits-wellbeing/ including Wellbeing days, generous leave, and dedicated professional development budgets.
This is a posting for an existing vacancy.
Xero uses AI to help screen applications based on job-related qualifications. These tools assist our recruiters but do not make automated hiring decisions. A human recruiter reviews all candidates before any hiring action is taken.
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
We are seeking experienced Software Engineer, Developer Experience to own and fostering a collaborative, automated, and efficient software development lifecycle. In this role, you will collaborate closely with product engineering teams to ensure consistent code health, accelerate development velocity through well-maintained CI pipelines, faster builds, and secure release processes. Your mission: empowering our software engineering team with seamless workflows while securing our production environments.
Location: Paris 🇫🇷
What you will do
As a Software Engineer, Developer Experience, your responsibilities will include (but may not be limited to):
Developer Experience
• Build, monitor, and enhance CI/CD pipelines to streamline development workflows and accelerate deployments.
• Design, operate and maintain scalable, reliable and secure multi-cloud infrastructures
• Identify areas for improvement and create innovative solutions that enable high developer velocity
Team Collaboration & Advocacy
• Standardize DevOps practices to ensure consistency across all engineering teams.
• Establish measurable KPIs for security performance, reliability, and compliance adherence.
• Partner with development and operations teams to embed security into daily workflows.
• Lead training initiatives to upskill teams on secure coding, threat modeling, and incident response.
• Champion a security-first mindset, driving cultural adoption of DevSecOps principles across the organization.
Representative projects
- Improve CI/CD and build systems
- Optimize cloud registries (Docker, Azure, GCP)
- Implement static and dynamic code analysis tool
- Implement automated vulnerability analysis
About you
• 5+ years of successful experience in a similar role (DevOps, Developer Experience, Platform Engineer, Internal tooling engineer, SRE...)
• Strong proficiency in:
- Scripting languages (Go, Python...) and software development best practices.
- Developer experience engineering: developer workflow optimization, tooling and automation for productivity, real-time developer support and escalation paths
- Site Reliability Engineering: CI/CD, containerization, orchestration, infra-as-code, monitoring, logging, alerting, observability...
• Exposure to:
- Multi-cloud infrastructures (AWS / GCP / Azure or On-Prem)
- Security Tools & Approaches: OWASP, SAST, DAST, SCA, vulnerability scanners
• Proven:
- Problem-solving and communication skills — ability to contextualizing, gauging risks and getting buy-in for high stakes and impactful solutions.
- Ownership, high agency and desire to improve things for others.
- Autonomy, self-drive and ability to work well in a fast-paced startup environment.
- Low ego and team spirit mindset.
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.
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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
УдалённоmiddleГеография найма не уточнена
Seoul; 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
Paris; Amsterdam; Warsaw; Munich; London; Berlin; 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
Paris; 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
ГибридParis; Warsaw; London; In certain specific situations, we will also consider remote candidates based in one of the countries listed in this job posting — currently France & UK; 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
ГибридГеография найма не уточнена
Paris; 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
