Вакансии

Location: Canada; Brazil Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients.   We're looking for a Sr. Data Analyst, Compliance to join our team remotely! The primary goal of this role is to elevate decision-making by uncovering emerging trends and root causes, and by driving insights and actions that provide full visibility into business performance and operational efficiency. Beyond technical expertise, success in this role depends on being a true business partner who combines data-driven insights with strategic thinking to deliver actionable recommendations, guide decision-making, and drive measurable impact across the organization. In this role, you'll own end-to-end data management, from building and maintaining datasets and pipelines to designing dashboards and delivering insights for the Compliance team. A core part of this role is owning the logic and rule-setting behind transaction monitoring across deposits and withdrawals. You'll also contribute to experimentation infrastructure, laying the groundwork for future ML and intelligence initiatives.   THE OPPORTUNITY - Own the logic and rule-setting behind transaction monitoring across deposits and withdrawals, partnering closely with Compliance to study patterns and refine detection logic - Translate compliance requirements into production detection logic, preserving correctness across alert eligibility, thresholds, customer segmentation, date windows, and deduplication - Develop and maintain Python and SQL pipelines for transaction data preparation, feature engineering, and detection workflows - Evaluate detection rules and analytical models across coverage, alert quality, threshold sensitivity, and the impact of proposed changes - Design reproducible evaluations on historical data that account for limited labels, class imbalance, and shifts in customer behaviour over time - Own testing, deployment, scheduling, monitoring, and operational support for detection workflows, including investigating data quality issues, pipeline failures, and unexpected changes in detection results - Execute historical backfills with clear validation and traceability, and maintain reliable downstream alert delivery and integrations with compliance systems - Be at the forefront of data innovation by experimenting, testing hypotheses, and translating insights into action, while incorporating software engineering best practices into pipelines and dashboards.   WHAT YOU BRING - 7+ years of experience in data analysis, data science, and data management within the fintech, crypto, financial services, or gambling industry, gained in a fast-paced, high-growth environment - Experience working with compliance, fraud, funding, finance, and customer support teams and analyzing large datasets, engineering features, and applying statistical methods to practical business problems - Strong Python and SQL skills, with experience building and supporting production data or analytical systems - Hands-on experience using dbt or similar tooling to model and organize high-fidelity data for reporting and decision-making - Experience setting up and managing data pipelines with a strong understanding of workflow orchestration, plus strong software engineering practices including version control, automated testing, code review, and CI/CD - Solid statistical foundation; ML exposure is a strong plus - Proficiency with BI and data visualization tools (e.g., Hex, Tableau, Power BI, or similar) to build executive-facing dashboards - Ability to investigate production issues independently and communicate technical findings and uncertainty to non-technical stakeholders - You believe wholeheartedly in the values outlined in Kraken's Tentaclements document - A degree in a field emphasizing analytical rigor, such as analytics, software engineering, statistics, or economics - Based in Canada, the US, or Brazil, and fluent in English   NICE TO HAVES - Fraud detection, AML, anomaly detection, or other risk applications - Experience with Athena, Trino, Kafka, and Kubernetes alongside the core Airflow/dbt/S3 stack - Transaction pattern analysis, customer segmentation, and detection threshold tuning - Developing or productionising machine learning models, including experiment tracking and performance monitoring - Working with sparse or delayed feedback from investigations to evaluate and improve detection - Explainability, auditability, and change control in regulated environments Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on X https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

In this role, you will own automated test suite development and maintenance across Oracle ERP Cloud (Fusion) and Salesforce, with a focus on Tosca-based regression and progression testing. Run Oracle ERP Cloud and Salesforce QA automation suites for all quarterly patch upgrades end-to-end.

Задачи: — ручное и автоматизированное тестирование web и mobile, включая API и интеграции. Требования: — Опыт автоматизации тестирования на Java. — Опыт mobile- и web-тестирования. — Опыт работы с базами данных. — Опыт работы с Kafka. — Опыт работы с CI/CD. — Опыт работы с Rest API. — Опыт работы на высоконагруженных проектах. Условия: — Трудоустройство в аккредитованную ИТ-компанию. — Вилка до 320К р. на руки. — Оформление по ИП или ТК РФ. — Полная удалёнка. — ДМС с первого дня со стоматологией. — Предоставление техники при необходимости.

🛠️ Задачи: ручное и автоматизированное тестирование. - Опыт ручного тестирования от 4 лет.

Location: Москва Мы — команда Platform V Works, часть облачной цифровой платформы Сбера для разработки бизнес-приложений. Разрабатываем высокотехнологичные IT-продукты и обеспечиваем импортонезависимость в области ПО. Мы создаем новую коллаборативную платформу для работы команды разработки. Это интуитивно понятный и удобный сервис, который помогает управлять командами, эффективно организовывать задачи, обмениваться информацией и совместно работать над проектами. Перед тобой не просто вакансия. Перед тобой отличная возможность сделать этот мир технологичнее и лучше. Мы - первая команда СберТех, которая тиражирует свой продукт в формате SaaS. **Ищем сотрудника на декретную ставку.** Обязанности ### Чем предстоит заниматься: * развивать и поддерживать высоко-нагруженный сервис с плагинной/микрофронтовой архитектурой, используя Feature-Sliced Design методологию * участвовать в определении направления развития архитектуры сервиса и выборе технологий * проектировать и разрабатывать публичные API сервиса и механизмы интеграции сторонних сервисов * создавать интерфейсы и сервисные утилиты на node js * повышать надежность и качество сервиса на всех уровнях, оптимизировать производительность (в том числе на уровне nginx), разрабатывать инструменты мониторинга * обеспечивать тестовое покрытие (юнит, интеграционное, апи, e2e) * участвовать в ретроспективах инцидентов на проде и предпринимать меры по решению внештатных ситуаций * принимать участие в планировании спринтов, оценке и деĸомпозиции задач, проводить арх- и код-review решений коллег, предоставлять аргументированную критику. **Из числа не-рутинных:** * обеспечить доступность интерфейса для всех категорий пользователей на множестве платформ, браузеров и их версий * реализовать конструктор диаграмм и WYSIWYG редактор с возможностью совместного редактирования * развивать собственную библиотеку UI компонентов на базе токенов. Требования ### Наши ожидания: * уверенное владение JavaScript, TypeScript, React, CSS, HTML5 (от 3-х лет), понимание принципов работы Nginx, знание основных библиотек, структур данных и шаблонов проектирования * cпособность создавать кроссбраузерный адаптивный производительный пользовательский интерфейс по макетам и/или ux/ui-гайдам * знание технологий и методик проведения модульного тестирования, опыт использования инструментов тестирования Jest, CodeceptJS/Playwright * навыки работы с bash, git (модель GitFlow), nodejs, webpack, yarn, npm, lerna, docker * опыт работы в продуктовой команде по гибким (Agile) методологиям * опыт использования GigaChat, Kandinsky и аналогов в продуктах, навыки создания и использования AI-агентов * инструментальное владение AI для анализа, генерации и автоматизации. **Будет преимуществом:** * знакомство с Apollo GraphQL, WebSocket, Effector, Axios * опыт построения микрофронтенд приложений с использованием Webpack Module Federation * опыт администрирования/разработки для/интеграции с Jira/Confluence/Bitbucket, использования scripting engine внутри разрабатываемых систем * опыт настройки сборочных скриптов и CI/CD * опыт написания storybook для компонентов * опыт профилирования приложений - поиск утечек памяти и bottleneck. Условия ### Мы предлагаем: * годовой бонус и ежегодный пересмотр зарплаты * расширенный ДМС с первого дня, страхование жизни, корпоративная пенсионная программа * статус аккредитованной ИТ-компании со всеми преимуществами * льготная ипотека для сотрудников, подписка Прайм с возможностью шеринга (совместного использования) на трёх близких, скидки от партнеров и сервисов группы компаний * корпоративный университет Сбера, внутренняя образовательная платформа, участие в IT-конференциях * офис с видом на набережную, зонами отдыха и спортзалом * 90 дней удаленной работы из любого региона РФ * реферальная программа (бонус до 100 000 рублей).

Ваша задача — строить RAG-системы, мультиагентные процессы и интегрировать LLM (OpenAI, Anthropic Claude) в реальные системы брокера (CRM, техподдержка, KYC/Compliance, аналитика). 🛠 Требования к кандидату: 5+ лет в бэкенд / full-stack разработке.

Location: Москва Мы ищем AppSec Technical Lead — сильного hands-on эксперта по Application Security, который будет техническим лидером команды из 3 AppSec-инженеров. Вам предстоит развивать практики secure SDLC и DevSecOps, работать с SAST/SCA/DAST/MAST, развивать автоматизацию security-проверок. Обязанности ### Вам предстоит: * быть техническим лидером для команды AppSec-инженеров * помогать команде принимать архитектурные и технические решения в области Application Security * наставлять инженеров, помогать им развивать экспертизу в AppSec, DevSecOps, security code review и автоматизации * проводить ревью технических решений, подходов к анализу уязвимостей, SAST-правил и security-автоматизаций * участвовать в планировании работы команды совместно с Product Owner * помогать приоритизировать задачи с учётом технических рисков, бизнес-контекста и загрузки команды * быть единой точкой входа для PO продукта по вопросам AppSec: статусы, блокеры, риски, roadmap, технические ограничения и потребности команды. * развивать интеграцию security-проверок в CI/CD * разрабатывать и поддерживать правила для SAST-инструментов * улучшать процессы работы с SAST/SCA/DAST/MAST: качество проверок, triage, отчётность, снижение false positives * писать автоматизацию для интеграции сканеров, обработки результатов, обогащения находок и формирования метрик * исследовать и тестировать новые инструменты проверки безопасности приложений * помогать делать security-проверки более полезными для разработчиков и менее шумными для команд. Требования ### Что для нас важно: * опыт в Application Security от 4 лет либо сопоставимый опыт в разработке с последующим переходом в security * практический опыт технического лидерства, наставничества или координации работы AppSec/security-инженеров * глубокое понимание secure SDLC, shift-left security и DevSecOps * практический опыт работы с SAST, SCA, DAST и/или MAST-инструментами * опыт интеграции security-проверок в CI/CD * опыт security code review на одном или нескольких языках: Java/Kotlin, Go, Python * уверенное владение одним из языков: Python/Java/Go * опыт работы с Bash * глубокое понимание OWASP Top 10, OWASP ASVS и OWASP Mobile Top 10 * понимание современных архитектур: микросервисы, REST/gRPC API, Kubernetes, контейнеризация * опыт анализа результатов сканирования, валидации уязвимостей, поиска false positives и приоритизации рисков * практический опыт взаимодействия с разработчиками по исправлению уязвимостей * понимание специфики безопасности мобильных приложений * опыт работы с MAST-инструментами * понимание типовых рисков мобильных приложений: insecure storage, insecure communication, неправильная работа с secrets, jailbreak/root detection, reverse engineering risks, certificate pinning, tampering * опыт анализа Android/iOS-приложений будет преимуществом * инструментальное владение AI для анализа, генерации и автоматизации. Условия ### Мы предлагаем: * комфортный современный офис * офисный формат работы * ежегодный пересмотр зарплаты, годовая премия * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * программа адаптации и помощь руководителя на старте * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера.

Location: Auckland Workplace: OnSite ABOUT HALTER At Halter, we’re on a mission to enable farmers and graziers to run the most productive and sustainable operations. Our customers are using Halter to break free from the time-intensive constraints of conventional practices. Imagine watching 500 cattle stand up and walk calmly towards their next break? No quad bikes, no dogs, no fences. Just a group of cattle walking at their own pace. People say it looks like magic. Our customers are revolutionizing grazing with Halter. It's changing lives and transforming an industry. People join Halter to do meaningful work. By joining us you’ll be solving challenging problems within a talented team and a culture built for high performance. Our team out-think, out-work and out-care. We’re committed to delivering real change in the world - this isn’t easy, and in truth, we love that it’s hard. We’re backed to deliver on a mission that matters by Tier 1 investors including Founders Fund https://foundersfund.com, Bessemer Venture Partners https://www.bvp.com/, BOND, https://www.bondcap.com/ DCVC https://www.dcvc.com/, Blackbird https://www.blackbird.vc/, Promus Ventures https://www.promusventures.com/, Rocket Lab’s Peter Beck and Icehouse ventures https://www.icehouseventures.co.nz/?utm_term=icehouse%20ventures&utm_campaign=Brand+Keywords&utm_source=adwords&utm_medium=ppc&hsa_acc=4064636360&hsa_cam=16902737884&hsa_grp=134004309485&hsa_ad=592971340272&hsa_src=g&hsa_tgt=kwd-1082530126230&hsa_kw=icehouse%20ventures&hsa_mt=b&hsa_net=adwords&hsa_ver=3&gclid=Cj0KCQjw2v-gBhC1ARIsAOQdKY0J0DepRVFDmjQlAkJPbZuQnLSA5UVzUzOXYiPxkjX-SeVa513_BhkaAr-MEALw_wcB. To find out more, visit our LinkedIn https://www.linkedin.com/company/halter-limited & Instagram https://www.instagram.com/lifeathalter/. BACKGROUND Almost no company builds its own people and performance products. Halter does, and we're hiring our first software engineer to bring these ambitions to life. Most companies run hiring, performance and people data on a stack of vendor tools, and accept whatever ships. The result is products that feel out of step with the culture and what the company cares about, and a place that feels less human and less unique the bigger it gets. We think that's backwards. You'll build people and performance products that put our people and culture at the centre. This role underpins our ability to scale two things we care about a lot: our people, and how well we perform together. WHY NOW We've grown quickly and we're on track to double again, soon. We're laying new foundations for our people systems right now, so you won't be inheriting someone else's mess. You'll be shaping what Halter's people stack looks like from the ground up, and we think that's pretty exciting. And we're not stopping at Halter. We want to change how people products get built, inside our four walls and well beyond them. A PEOPLE TEAM THAT'S BACKED Halter puts serious investment into its People team. Not a couple of HR tools and a spreadsheet, but a dedicated team building product, data and engineering for the people who work here. That almost never happens. We do it because our culture is one of our biggest advantages, and culture is the first thing to crack when a company scales fast. The clarity, the pace, the high standards, the sense that someone actually cares how your career is going and sees you as an individual. Keeping all of that at 1,000 people (and well beyond) doesn't happen by accident. It gets built with intention. That's your job. The things you ship will shape what it feels like to work at Halter for everyone who joins after you. Not many engineers get to say their product is the culture. WHAT YOU MIGHT BUILD 👀 We're not going to hand you a backlog (but we'll absolutely build it with you). To give you a feel: - Think a tool that turns performance calibration from a week of spreadsheets into something leaders run themselves. - Think knowing which hiring channels produce the people who go on to do their best work, not just the most applications. - Think a new starter's first 90 days that runs on rails, with the right nudges landing at the right moment. - Think a single, trusted view of every person's journey, from first application to promotion, that leaders actually open. - Or think of something we haven't. Bring it. WHAT YOU'LL BE DOING - Build and ship full-stack products across Talent and People, from React front ends to Python services and data pipelines - Design and build the backend services, APIs and data structures that connect hiring, HR, payroll and performance data into one trusted view - Build clean, intuitive front ends that leaders, managers and our People team actually want to open - Take the features you build from start to finish: scoping, architecting, building, testing, deploying and iterating - Look after the engineering foundations, like repos, pull requests, code reviews and CI/CD pipelines, so what you ship stays reliable and easy to change - Use AI as a tool in your toolkit, building it into well-designed systems where it creates real leverage, not novelty - Treat people data as the most sensitive data in the company, with access, retention and audit designed in from the start - Help our product managers for Talent and People become more technical, just by working with you ABOUT THE ROLE You'll be the first software engineer in People Ecosystems, the team building the product, data and analytics layer underneath People and Performance at Halter. Our people data lake went live earlier this year, and there's a long list of things that should be beautiful product rather than process. You'll get the intent and the constraints, and real freedom on how. We'll collaborate on what matters and why, you'll build, and we'll shape it together as it comes to life. You won't be on an island. You'll report to our Manager, People Ecosystems, who owns the roadmap and will coach you directly, and you'll tap into Halter's engineering and product teams for code review, architecture and learning. Day to day, you'll work side by side with our product managers for Talent and People. You'll work across both, so you'll get to see (and shape) the whole employee lifecycle. WHAT WE'RE LOOKING FOR We're after someone with around 4 to 5 years' experience, real craft, and plenty of room left to grow. Technically - Strong full-stack engineering skills, ideally TypeScript and/or React on the front end and Python and/or Node on the back end - Solid experience designing and building production-grade APIs, services, data structures and data pipelines - Hands-on with the engineering foundations: managing repos and pull requests, reviewing code, and building and maintaining CI/CD pipelines - You build for the long run: maintainable code, with reliability, observability and performance in mind from day one - Comfortable working across the stack. You're not precious about where a problem lives, you just want to solve it well - You care whether what you build gets used. A feature nobody adopts isn't a win As a person - Self-aware. You know what you're great at and where you're still growing, and you say both out loud - Empathetic. You'll be building with data about people’s experience and performance. You feel the weight and sensitivity of that, and it shows in how you build - Coachable. You take direction well and you don't need to have had the idea to be all in on it. You also read between the lines, because not everything in this space can be written down - A good teacher. You explain things in a way that leaves people feeling more capable, not less - A simplifier. You love taking something complex and making it simple enough that everyone can understand it and have a say - Collaborative. You enjoy working tightly with non-technical teams and bringing people along with you Bonus points if you have - Experience building with AI, like vector databases, embeddings or retrieval systems - Exposure to workflow tools like n8n, Temporal or Airflow - Experience with data engineering, ETL pipelines or event-driven architecture - Built with HR, recruiting or payroll systems and their APIs - A love for fast-paced, ambiguous environments. You actually enjoy the uncertainty SKY'S THE LIMIT 🚀 This is a brand new seat, which means there's no ceiling on what it becomes. As Halter grows, so does this role. You'll get first look at every new problem across Talent and People, build the foundations everyone after you works on, and have a real runway to grow as fast as you can take it. OUR BENEFITS - Importantly, we offer an inclusive and attractive remuneration package made up of salary, benefits and an employee stock ownership plan. - Healthy body, healthy mind. We’re partnered with Southern Cross Health Insurance to support your well-being. - Our personal growth is important. Halter offers an annual $1000 self-development budget to be used for anything that fuels personal growth. - We offer 6 months of fully paid parental leave for primary caregivers, 4 weeks of fully paid secondary caregiver leave and many other parental benefits that support you and your family. - Our time to recharge is valued, we’re offered wellness leave and unlimited paid annual leave. OUR OFFICE FIRST APPROACH Humans are wired for connection. Being office first is a core pillar of our culture because in-person connections drive your growth, learning, impact, and relationships. Strong relationships make it easier to disagree, give feedback, and do meaningful work together. We're office first, not office only. Working from the office is our default, but we flex when needed. We have a high-trust culture where everyone is trusted to do what's best for Halter. Our office vibe is special, the high energy and spectacular people make work enjoyable. Your growth and impact are unlimited here, coming from solving problems, innovating, and constantly learning from each other. JOIN OUR TEAM Halter is committed to promoting a diverse and inclusive workplace — a place where we can each be ourselves and do the best work of our lives. Research shows that while men apply to jobs when they meet an average of 60% of the requirements, women and under-represented groups of candidates tend to only apply when they meet every requirement. If you think you have what it takes but don’t necessarily tick every requirement on this job description, please still get in touch and apply to Halter. We’d love to chat to see if you’ll be an epic fit! If this opportunity sounds like you, please apply below by sending through your cover letter explaining why you’re excited about this role and working at Halter, along with your CV, and we’ll be in touch! Please also feel free to check out the careers page https://www.halterhq.com/careers for more information on working at Halter and don't forget to follow us on LinkedIn https://www.linkedin.com/company/halter-limited & Instagram https://www.instagram.com/lifeathalter/. WHY OUR TEAM LOVES WORKING AT HALTER: - Work that genuinely matters. Every now and again a company comes along that transforms an entire industry and leaves the world in a better place. Our team gets to be part of something truly meaningful, helping farmers improve their livelihoods, spend more time with their families, and build more sustainable operations. - Spectacular people solving hard problems. Our culture is designed for talented people to do work that changes lives. The team is filled with diverse, kind, and driven people who push each other to do their best work. You'll be thrown into the deep end, tackling complex challenges and building something tangible that solves real problems. - You'll grow here. Autonomy, mastery, and learning define how we work. You'll have the freedom to work on interesting problems, master new skills, and continuously develop yourself, both through your role and our personal growth fund. - This isn't easy, and we love that it's hard. Working at Halter will be the most rewarding and the most challenging work of your life. We move fast, take bold bets, and work hard to reshape an entire industry. As one team member put it: "Joining Halter is a bit like strapping yourself to a rocket ship, but it's an epic journey to be a part of!"

Location: San Jose, California, United States Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. About the Team Cloud Infrastructure Engineering is a critical engineering discipline and a job function in the company. Its charter is to build tools and infrastructure that promote early detection of production failures, leading to a stellar customer experience. Our work is to drive safety, health and uptime of our platform, and the ability to remedy unforeseen problems. By removing some of the complex burdens on how to scale and maintain uptime in distributed systems, Cloud Infrastructure Engineer allows development teams to focus on feature development instead of the nuances of achieving and maintaining service level commitments. About the Opportunity: We’re looking for a creative and driven individual that can spearhead our effort to push “outside the box” infrastructure implementations, that will have a tremendous impact on our platform’s stability and scalability. What You’ll Be Doing: Responsible for the maintenance and configuration of AWS products and services Responsible for the research, architecture and project implementation solutions based on AWS products Responsible for the daily maintenance of each AWS cloud environment Support the deployment, maintenance and scaling of big data and machine learning platforms (e.g., Databricks, AWS SageMaker, Aliyun DSW) to enable data processing and model training workflows Own the Databricks platform on AWS end to end: workspace provisioning, account/workspace configuration, cluster policies, instance pools, and SQL warehouses, managed as code via the Databricks Terraform provider Monitor and optimize Databricks cost and performance, including cluster sizing and autoscaling, Photon/serverless adoption, DBU usage tracking via system tables, and job reliability tuning Automate the provisioning, scaling, and configuration of infrastructure resources using tools like Terraform and CI/CD pipelines Assist the team in troubleshooting and resolving production database issues during incidents Monitor company services and handle alerts in a timely manner to ensure service stability and uptime Collaborate with development teams to ensure seamless integration and deployment of new features Design, build and maintain internal platforms and tooling to improve operational efficiency, and support unified multi-cloud management across AWS, Alibaba Cloud, and other providers What We Look For In You: Bachelors degree or above, major in Computer Science or relevant domains, with over 6 years of experience in DevOps, SRE, DBA or related positions Proficient in AWS distributed management, large-scale clustering, fault tolerance, backup, load balancing and other technologies Have a deep understanding of high availability architecture, capacity planning, and rich experience in handling complex problems Have solid Linux platform operation and maintenance and debugging capabilities, and be proficient in troubleshooting, configuration tuning, and performance analysis Familiar with Kubernetes (k8s) for container orchestration and management Familiar with the functional features of AWS products and core products, and have rich practical experience in deployment and tuning of EC2, EKS, VPC, or big data products Experience with microservices architecture, including deployment, scaling, and maintenance Experience in monitoring, O&M and management of AWS large-scale servers and containers Experience in relational databases (e.g., MySQL, PostgreSQL) and NoSQL or big-data storage systems (e.g., Redis, MongoDB, HBase) is a plus Hands-on experience with big data / machine learning platforms such as Databricks, AWS SageMaker, or Aliyun DSW, including supporting data pipelines, notebook environments, and model training/deployment workflows Familiar with the deployment, configuration and maintenance of Nginx, kong and other software Proficient in using Python/Go/shell for development Strong engineering skills, proficient in at least one infrastructure sub-area, public cloud networking, SRE, DevOps or cloud-native Experience with internal developer platforms and proficiency in AI-assisted development tools (e.g., Claude Code, Codex) to improve engineering efficiency Working knowledge of Terraform or similar IaC tools is a plus Excellent business analysis ability, system architecture ability, and problem-solving ability. and strong self-drive Nice to Have: Bilingual in English and Mandarin Familiar with the operation and maintenance management of Alibaba Cloud, Google Cloud, Microsoft Cloud and other cloud providers. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! OKX Statement: OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. The salary range for this position is $214,666 to $321,999. The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via OKX internal or external careers site. #LI-SK1 #LI-HYBRID Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Bitdeer is looking for a Technical Project Manager to coordinate delivery, dependencies, reporting, and releases across the AI platform.

Anthropic is looking for an Applied AI Architect Security Specialist to advise enterprise customers and deploy Claude-powered security workloads.

Location: New York, NY, United States About Us Fanatics is a leading global sports platform redefining how fans connect with the teams, players and moments they love. Our businesses — Fanatics Commerce, Fanatics Collectibles, Fanatics Betting & Gaming, Fanatics Events, Fanatics Advertising, Fanatics Markets and Fanatics Studios — maximize the presence and reach for hundreds of partners globally and create a one-stop experience that allows fans to buy, bet, collect, and earn, while engaging with sports in deeper, more immersive ways. This includes licensed fan gear and lifestyle products, sportsbook and iGaming, physical and digital trading cards, live events, premium sports entertainment content, credit card offerings and more. Together, they form a powerful, integrated ecosystem — connected by the Fanatics ONE loyalty program and FanCash, the currency of sport — delivering personalized experiences to over 100 million fans worldwide. Fanatics holds partnerships with over 900 sports properties, from professional leagues and players’ associations to teams, colleges and retail partners; over 7,000 athletes and celebrities; and over 2,000 retail locations, including all Lids stores. Backed by a team of more than 22,000 employees, Fanatics is committed to relentlessly enhancing the fan experience. About The Role We are looking for a Staff Platform Engineer to join our Platform team based in the United States. Our team is responsible for providing engineering teams with the platform and tooling responsible for deploying and running the core critical services that power the entire Fanatics business. You will own and lead complex initiatives across cloud infrastructure, Kubernetes platforms, CI/CD systems, observability, and internal developer tooling. As a Staff Platform Engineer, you will be a technical leader on our platform team, helping influence the technical direction and raising the bar for code quality, reliability, and observability. You will lead projects from design through delivery, coordinating across engineers, and partner teams with minimal oversight. You will design complete systems and services that meet business goals and our engineering standards, partner with team leadership on planning and the roadmap, and mentor team members on engineering craft and ownership. What You’ll Do Lead end-to-end execution of complex initiatives, from architecture and design through deployment and continuous refinement. Lead the design, maintenance, and implementation of scalable platform services, automation, CI/CD, and infrastructure supporting Fanatics’ technology ecosystem. Contribute to observability initiatives, including logging, metrics, and alerting, to improve system reliability and incident response. Partner with application and platform teams to improve performance, scalability, and reliability in cloud-native environments. Participate in incident response, post-incident reviews, and reliability improvements. Advocate for best practices in infrastructure, software delivery, and operational excellence. Provide technical guidance and mentorship to other engineers. Continuously learn and apply new technologies and approaches to platform engineering challenges. What We’re Looking For 8+ years of experience in platform, infrastructure, DevOps, or software engineering Proven experience successfully leading complex initiatives/projects while driving team strategy. Track record of breaking down complex work into clear, achievable milestones and delivering predictably using agile practices. Strong software engineering background, with experience in backend development and distributed systems. Deep understanding of the AWS cloud platform and cloud-native architectures. Proficiency in Infrastructure as Code (Terraform, CloudFormation) and automation. Hands-on experience with CI/CD pipelines, deployment automation, and developer productivity tooling. Deep expertise with Kubernetes and container orchestration in production environments. Strong knowledge of observability (logging, metrics, tracing) and experience improving system visibility and reliability. Experience with incident management and operational best practices for large-scale systems. Proficiency in Go or Python. Familiarity with AI-assisted development tools. Familiarity with platform security concepts. Ability to collaborate effectively across teams, communicate complex topics clearly, and influence engineering best practices. Outcome-driven mindset with a focus on solving real-world engineering challenges. A positive, adaptable attitude suited for a fast-moving environment. Comfortable operating in a fast-paced, evolving environment. Nice To Have Experience scaling services globally FinOps or cloud cost management experience Regulated or high-availability environment experience Experience with Java or Kotlin Familiarity with GitHub Actions Experience with Kafka and Cassandra Why Join Us? Work on high-impact platform engineering challenges at scale. Collaborate with experienced engineers who value technical excellence and innovation. Play a key role in shaping the developer experience and operational foundations of Fan Ecosystem. Join a culture that encourages learning, growth, and technical leadership. Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process. For information about our benefits, please visit https://benefitsatfanatics.com/ #LI-VG1 Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit https://benefitsatfanatics.com/ Salary Range $200,000 — $250,000 USD By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy. Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it here .

Location: Montevideo, Uruguay; Remote.AR, Remote.LATAM-country; Remote.BR, Brazil; Remote.CO, Colombia; Rosario, Remote.LATAM-country We are looking for a Solution Architect to help translate business goals into scalable, secure, and maintainable technical solutions. You will work across product discussions, architecture design, technical reviews, and cross team collaboration to support clear requirements and consistent engineering practices. This project is centered on a modern travel focused platform with cloud native services, distributed systems, data integrations, and observability. It aims to improve productivity, quality, security, reliability, and time to market through consistent architecture principles and implementation ready technical solutions. Define and communicate target architecture aligned with business objectives and product strategy Design scalable and secure solutions across cloud native applications APIs data platforms integrations and distributed systems Guide the adoption of Azure services containerized workloads event driven architecture Snowflake and Datadog Evaluate architectural alternatives and document trade offs risks dependencies and recommendations Identify opportunities to simplify systems reduce technical debt and improve platform reusability Partner with stakeholders to write review validate and improve product and technical requirements Translate business needs into clear testable and technically feasible requirements Identify gaps assumptions dependencies integration constraints and architectural risks before development starts Help teams define acceptance criteria API contracts data requirements system boundaries and testing strategies Guide engineering teams in adopting architectural directions standards reusable patterns and decision records Review proposed designs and significant technical changes and provide timely feedback Help identify and manage architectural dependencies across teams products platforms and shared services Drive responsible adoption of AI capabilities across the software development lifecycle Evaluate AI enabled tools frameworks and platforms based on value security reliability maintainability and cost Define architectural patterns for integrating AI services into applications Establish guidelines for AI generated code content validation data protection and secure AI tool usage Promote AI assisted testing including test generation regression coverage API validation and failure analysis Measure engineering and delivery outcomes using relevant performance and quality indicators Lead by example with clean architecture secure coding effective testing and maintainable implementation practices Help teams improve CI/CD pipelines automated testing deployment strategies infrastructure as code and delivery reliability Promote domain driven design modularity API first design asynchronous communication and event driven integration Collaborate with engineering managers technical leads developers QA engineers data engineers and product teams to resolve technical challenges Mentor technical leaders and engineers in architecture skills decision making and engineering ownership Facilitate architecture reviews technical design workshops knowledge sharing sessions and cross team discussions Present architecture changes engineering practices frameworks and technology investments to technical and non technical stakeholders Guide the design of reliable integrations across internal systems third party providers booking platforms and external services Establish patterns for event driven communication API integration messaging data consistency retries idempotency and failure recovery Collaborate with data teams on Snowflake architecture data ingestion transformation governance quality and analytical access patterns Promote observability through metrics logs distributed tracing dashboards and alerts using Datadog Apply controls for sensitive data access management secrets compliance and secure information handling Experience in software engineering and solution architecture designing and delivering production systems Understanding of distributed systems cloud native architecture microservices modular monoliths API design and system integration Ability to translate business requirements into technical designs and implementation plans Experience leading architecture reviews establishing engineering standards and influencing technical decisions across teams Ability to balance strategic architecture with delivery constraints incremental modernization and pragmatic trade offs Strong written and verbal communication skills for technical and non technical stakeholders Hands on experience with Microsoft Azure and cloud native services Experience with Docker and containerized application deployment Experience with Kubernetes or Azure Kubernetes Service Familiarity with infrastructure as code CI/CD automated deployment environment management and cloud cost optimization Understanding of application security secrets management resilience disaster recovery and least privilege access Experience designing APIs and integrations across distributed systems Understanding of event driven architecture messaging asynchronous processing eventual consistency retries idempotency and dead letter handling Experience with data pipelines data modeling and analytical platforms Hands on experience with Snowflake Familiarity with Azure Event Hubs Service Bus Kafka or equivalent messaging platforms Understanding of data governance data quality access controls and privacy considerations Practical experience adopting AI assisted development tools and integrating AI into software engineering workflows Understanding of the software development lifecycle and AI support across requirements design coding testing review deployment and operations Familiarity with Datadog Experience with observability practices including metrics logs distributed tracing dashboards and alerts Understanding of retrieval augmented generation patterns Familiarity with model APIs and prompt engineering Experience contributing to architecture reviews and technical design workshops Experience supporting automated testing across unit integration contract end to end performance and security testing

Location: Tashkent, Uzbekistan В DMED мы ищем QA инженера с опытом от 1 до 3 лет, который поможет обеспечить высокое качество продуктов в рамках Национальной системы цифрового здравоохранения DMED . Ваш вклад поможет улучшить жизнь миллионов людей в Узбекистане! Обязанности: Анализ и планирование: Анализ требований, выявление противоречий, рисков и недостающей информации до начала разработки. Тестовая документация: Разработка, актуализация и поддержка тестовой документации (тест-кейсы, чек-листы). Проведение тестирования: Выполнение функционального, интеграционного, регрессионного и других видов тестирования. Работа с дефектами: Регистрация багов, определение их критичности, предоставление полной информации для воспроизведения, контроль сроков исправления и повторная проверка. Контроль качества и процессов: Оценка готовности функционала к релизу, участие в приоритизации задач и обеспечении качества на всех этапах жизненного цикла разработки. Requirements Что ожидаем: Опыт работы в тестировании ПО от 1 до 3 лет. Понимание процессов разработки ПО, видов тестирования и методик тест-дизайна. Навыки локализации ошибок и составления качественных баг-репортов. Инструменты и технологии: Опыт работы с баг-трекинговыми системами и TMS ( Jira , Confluence , TestIt ). Умение работать с DevTools (анализ сетевых запросов, HTTP-методов и кодов ответов 1XX–5XX). Опыт тестирования REST API (в Postman или аналогичных инструментах). Понимание клиент-серверной архитектуры (HTTP/REST) и базовые знания SQL (простые запросы). Языковые навыки: Свободное владение русским (С1) и узбекским (С1) языками. Будет плюсом: Опыт работы с инструментами мониторинга трафика ( Charles Proxy , Proxyman , Fiddler , Wireshark ). Базовые навыки автоматизации тестирования (понимание принципов и опыт работы с Cypress , Playwright , Selenium , Appium и др.). Опыт тестирования мобильных приложений и понимание CI/CD . Опыт работы с интеграционными, медицинскими или государственными системами. 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. Официальное трудоустройство. Современный офис с комфортной инфраструктурой. Простор для карьерного и профессионального роста. Дружную и мотивированную команду.

Location: Brussels, Belgium We currently have a vacancy for a Senior LLMOps Engineer fluent in English, to offer his/her services as an expert who will be based in Belgium. The work will be carried out either in the company’s premises or on site at customer premises. In the context of the first assignment, the successful candidate will be integrated in the Development team of the company that will closely cooperate with a major client’s IT team. Your tasks: Design, build, and maintain production-grade ML systems with a strong focus on Large Language Models (LLMs) in a secure hybrid on-prem / cloud infrastructure; Deploy, test, manage and monitor ML models in different containerized environments; Work closely with data scientists and back-end developers to build, test, integrate and deploy ML models; Evolve the LLMOps lifecycle: data preparation, fine-tuning, evaluation, deployment, monitoring, and iteration. Develop evaluation frameworks for LLM quality, robustness, and regression tracking; Analyse performance metrics and troubleshoot issues to ensure high availability and reliability; Design CI/CD pipelines, use orchestration solutions and data versioning tools; Creating automated anomaly detection systems and constant tracking of its performance and optimizing ML pipelines for scalability, efficiency and cost-effectiveness; Provision of security studies, security assessments or other security matters associated with information system projects; Provision of support and guidance to other team members on LLMOps/MLOps practices. Requirements University degree in a relevant field such as Computer Science, Information Technology, or Systems Engineering combined with relevant IT professional experience of at least 10 years; Excellent experience of managing an on-prem and/or cloud LLM / MLOps infrastructure; Experience with data analytics over big datasets, non-structured databases as well as data lakes; Experience with monitoring and logging tools (e.g. ELK stack, Prometheus, Grafana, OpenTelemetry, Cloudwatch); Experience with model testing and model validation in production environments; In depth knowledge of containerisation and orchestration platforms (e.g. Kubernetes, Docker, Podman, EKS, PKS); Good knowledge of MLflow, TensorFlow (TFX) or equivalents; Good knowledge of Airflow; Good knowledge of AWS or EU cloud providers; Good knowledge of Python; Good knowledge of Unix and Bash; Good knowledge agile software development methodologies; Good knowledge of infrastructure as code (Terraform, CloudFormation); Excellent knowledge of messaging services and platforms (e.g. Kafka, Redis, RabbitMQ); Knowledge of NoSQL databases, such as OpenSearch, MongoDB as well as query languages, such as SQL, Hive, Pig, etc. and with information extraction; Excellent command of the English language. Benefits If you are seeking a career in an exciting, dynamic and multicultural international environment with exciting opportunities that will boost your career, please send us your detailed CV in English, quoting reference (158837/11/2026). We offer a competitive remuneration (either on contract basis or remuneration with full benefits package), based on qualifications and experience. All applications will be treated as confidential. You may also consider all our other open vacancies by visiting the career section of our web site ( www.eurodyn.com) and follow us on Twitter (@EURODYN_Careers) and LinkedIn. EUROPEAN DYNAMICS ( www.eurodyn.com) is a leading European Software, Information and Communication Technologies company, operating internationally (Athens, Brussels, Luxembourg, Copenhagen, Berlin, Stockholm, London, Nicosia, Valetta, Vienna, Den Haag, Hong Kong, etc.) The company employs over 1000 engineers, IT experts and consultants (around 3% PhD, 36% MSc and 53% BSc). We design and develop software applications using integrated, state-of-the-art technology. Our current IT projects have a value exceeding 300 million EURO. EUROPEAN DYNAMICS is a renowned supplier of IT services to European Union Institutions, international organizations, European Agencies and national government Administrations in 40 countries and 4 continents. As part of our dedication to the diversity of our workforce, we are committed to Equal Employment Opportunity without regard for race, color, age, national origin, ethnicity, gender, disability, sexual orientation, gender identity or religion. EUROPEAN DYNAMICS (ED) adheres to the General Data Protection Regulation principles by applying its Privacy Policy as published in www.eurodyn.com/privacy. By submitting an application to this position and by sharing your personal data with ED, you acknowledge and accept its Policy and authorise ED to process your personal data for the purposes of the company's recruitment opportunities, in line to the Policy.

Администрирование и настройка Linux-систем (RHEL, CentOS, Debian, Ubuntu); Подготовка инфраструктуры под задачи различных проектов;

Location: Brazil About the Role Join Alvys, an early-stage company transforming the $800B US freight industry. As a DevSecOps Engineer, you'll help protect our platform and the customer data it holds. You'll close cloud security gaps, build security checks into how we ship software, run our penetration testing program, and stand up the infrastructure behind our internal security, IT, and AI tools. This role combines hands-on infrastructure work with coordination across DevOps, engineering teams, IT & Security, and outside security vendors. Industry Insight Freight companies run their business on Alvys: loads, drivers, carriers, payments, and financial records. As more of the industry moves to modern software, customers expect that data to be protected like any other business-critical system. Security is part of how we earn and keep their trust. About Alvys Alvys is building a multi-tenant SaaS platform that powers modern transportation operations. We combine deep industry knowledge with strong technical execution to bring clarity, automation, and reliability to one of the world's most essential industries. Security is a shared responsibility at Alvys, and this role helps every team meet that bar. Our Principles Engineering Principles Build for Real-World Impact. Our users rely on Alvys to solve real problems, not abstract ones. Every security fix should reduce real risk to our platform and the people moving freight every day, not just clear a scanner finding. Extreme Ownership and Empowerment. Ownership extends beyond building. It means being accountable for quality, reliability, and customer impact. If it's in production, it's yours: bugs, uptime, and results. Technology Debt is Strategic, Not Accidental. Technical debt is a strategic choice, not an oversight. We incur it deliberately when it unlocks speed, learning, or market advantage. Our architecture remains clean, maintainable, and scalable as we grow. Simplicity Scales; Complexity Costs. Logistics is inherently complex, but our technology shouldn't be. We prioritize simplicity in our architecture, leveraging modularity and well-defined service boundaries to reduce cognitive load. Radical Transparency. We democratize data and make it accessible across all functions to drive alignment and decision-making. Transparency also means feedback. We systematize constructive feedback loops to ensure growth. Engineering Culture Move Fast, Learn Fast. Speed is our advantage, but we move fast intentionally. We bias for action, assume positive intent, and treat every mistake as a learning opportunity. Own the Outcome. Every engineer owns outcomes, not tickets. We take responsibility end-to-end, identifying problems, delivering solutions, and ensuring they last. Partner, Don't Gatekeep. Security works best when it's built with the teams who own the systems. We share context with DevOps and engineering teams, explain the risk behind each ask, and make the secure path the easy one. Pragmatism Over Purism. Perfect security doesn't exist, but reduced risk does. We choose fixes that scale, are maintainable, and address real threats, not theoretical ones. People Over Heroics. We don't reward burnout or always-on behavior. Sustainability is a feature, not a luxury. If someone needs to slow down, unplug, or take care of life outside work, that's expected. Responsibilities Cloud security architecture Design and deliver infrastructure changes that strengthen our cloud security posture, including network isolation and identity-based access. Make these changes through infrastructure as code, plan rollouts that avoid customer downtime, and work with service owners to update the applications that depend on them. Build secure defaults into our infrastructure modules so new resources start out compliant. Vulnerability management and pipeline security Help run our vulnerability management program, driving remediation within defined SLAs. Extend our existing security scanning with AI-assisted security testing, such as automated security code review and AI-driven penetration testing. Tune and improve the automation we already use to process security findings. Penetration testing Manage our third-party penetration tests from start to finish: scoping and targeting, test environments and accounts, vendor coordination, findings intake, and retesting. Help mature our internal, AI-assisted penetration testing tool into a dependable part of the security program, including deployment and scheduled runs. Infrastructure for security, IT, and AI tooling Deploy and operate internal applications in Azure, with identity, secrets, networking, and backups set up correctly from day one. Build telemetry pipelines (OpenTelemetry into Azure Monitor) for our AI and internal tools, with dashboards and alerts that surface anomalous activity. Working with others Partner with DevOps, engineering teams, and IT & Security to plan and prioritize work. Write clear runbooks and documentation, and produce evidence for our SOC 2 program. Tech Stack Cloud: Azure (AKS, App Service, Azure Functions, Storage, Key Vault, Cosmos DB, VNets, Microsoft Entra ID) Infrastructure as code: Terraform CI/CD: GitHub Actions and Azure DevOps pipelines Containers: Docker, Kubernetes, Azure Container Registry Observability: Azure Monitor, App Insights, Log Analytics, OpenTelemetry, Grafana Security: Aikido, Cloudflare AI tooling: Cursor, Claude, Claude Platform (managed agents), Grokbot Application code: .NET/C#, TypeScript, Angular, React Minimum Qualifications Fluent in English, spoken and written. 3+ years of professional experience in DevOps, cloud infrastructure, platform engineering, or security engineering. Hands-on experience with at least one major cloud provider (Azure, AWS, or GCP), including networking, identity and access management, and secrets management. Production experience with infrastructure as code, preferably Terraform. Experience building and maintaining CI/CD pipelines. Working knowledge of containers and Kubernetes. Scripting skills in Python, PowerShell, or Bash. Understanding of common security risks in cloud and web applications, and how to fix them. Ability to explain technical risk clearly to engineers and non-engineers. Preferred Qualifications Experience with Azure specifically, including private endpoints, VNet integration, and Entra ID managed identities. Experience with application security testing (SCA, SAST, DAST), and interest in applying AI to security testing. Experience coordinating penetration tests or working with external security firms. Experience with OpenTelemetry, Azure Monitor, or similar observability tools, including writing alert queries (KQL is a plus). Familiarity with SOC 2, ISO 27001, or CIS Benchmarks. Interest in AI tooling and how to deploy and monitor it safely. Security certifications such as AZ-500, Security+, or similar are a plus. Background in logistics or transportation is a bonus.

Location: Mexico About the Role Join Alvys, an early-stage company transforming the $800B US freight industry. As a DevSecOps Engineer, you'll help protect our platform and the customer data it holds. You'll close cloud security gaps, build security checks into how we ship software, run our penetration testing program, and stand up the infrastructure behind our internal security, IT, and AI tools. This role combines hands-on infrastructure work with coordination across DevOps, engineering teams, IT & Security, and outside security vendors. Industry Insight Freight companies run their business on Alvys: loads, drivers, carriers, payments, and financial records. As more of the industry moves to modern software, customers expect that data to be protected like any other business-critical system. Security is part of how we earn and keep their trust. About Alvys Alvys is building a multi-tenant SaaS platform that powers modern transportation operations. We combine deep industry knowledge with strong technical execution to bring clarity, automation, and reliability to one of the world's most essential industries. Security is a shared responsibility at Alvys, and this role helps every team meet that bar. Our Principles Engineering Principles Build for Real-World Impact. Our users rely on Alvys to solve real problems, not abstract ones. Every security fix should reduce real risk to our platform and the people moving freight every day, not just clear a scanner finding. Extreme Ownership and Empowerment. Ownership extends beyond building. It means being accountable for quality, reliability, and customer impact. If it's in production, it's yours: bugs, uptime, and results. Technology Debt is Strategic, Not Accidental. Technical debt is a strategic choice, not an oversight. We incur it deliberately when it unlocks speed, learning, or market advantage. Our architecture remains clean, maintainable, and scalable as we grow. Simplicity Scales; Complexity Costs. Logistics is inherently complex, but our technology shouldn't be. We prioritize simplicity in our architecture, leveraging modularity and well-defined service boundaries to reduce cognitive load. Radical Transparency. We democratize data and make it accessible across all functions to drive alignment and decision-making. Transparency also means feedback. We systematize constructive feedback loops to ensure growth. Engineering Culture Move Fast, Learn Fast. Speed is our advantage, but we move fast intentionally. We bias for action, assume positive intent, and treat every mistake as a learning opportunity. Own the Outcome. Every engineer owns outcomes, not tickets. We take responsibility end-to-end, identifying problems, delivering solutions, and ensuring they last. Partner, Don't Gatekeep. Security works best when it's built with the teams who own the systems. We share context with DevOps and engineering teams, explain the risk behind each ask, and make the secure path the easy one. Pragmatism Over Purism. Perfect security doesn't exist, but reduced risk does. We choose fixes that scale, are maintainable, and address real threats, not theoretical ones. People Over Heroics. We don't reward burnout or always-on behavior. Sustainability is a feature, not a luxury. If someone needs to slow down, unplug, or take care of life outside work, that's expected. Responsibilities Cloud security architecture Design and deliver infrastructure changes that strengthen our cloud security posture, including network isolation and identity-based access. Make these changes through infrastructure as code, plan rollouts that avoid customer downtime, and work with service owners to update the applications that depend on them. Build secure defaults into our infrastructure modules so new resources start out compliant. Vulnerability management and pipeline security Help run our vulnerability management program, driving remediation within defined SLAs. Extend our existing security scanning with AI-assisted security testing, such as automated security code review and AI-driven penetration testing. Tune and improve the automation we already use to process security findings. Penetration testing Manage our third-party penetration tests from start to finish: scoping and targeting, test environments and accounts, vendor coordination, findings intake, and retesting. Help mature our internal, AI-assisted penetration testing tool into a dependable part of the security program, including deployment and scheduled runs. Infrastructure for security, IT, and AI tooling Deploy and operate internal applications in Azure, with identity, secrets, networking, and backups set up correctly from day one. Build telemetry pipelines (OpenTelemetry into Azure Monitor) for our AI and internal tools, with dashboards and alerts that surface anomalous activity. Working with others Partner with DevOps, engineering teams, and IT & Security to plan and prioritize work. Write clear runbooks and documentation, and produce evidence for our SOC 2 program. Tech Stack Cloud: Azure (AKS, App Service, Azure Functions, Storage, Key Vault, Cosmos DB, VNets, Microsoft Entra ID) Infrastructure as code: Terraform CI/CD: GitHub Actions and Azure DevOps pipelines Containers: Docker, Kubernetes, Azure Container Registry Observability: Azure Monitor, App Insights, Log Analytics, OpenTelemetry, Grafana Security: Aikido, Cloudflare AI tooling: Cursor, Claude, Claude Platform (managed agents), Grokbot Application code: .NET/C#, TypeScript, Angular, React Minimum Qualifications Fluent in English, spoken and written. 3+ years of professional experience in DevOps, cloud infrastructure, platform engineering, or security engineering. Hands-on experience with at least one major cloud provider (Azure, AWS, or GCP), including networking, identity and access management, and secrets management. Production experience with infrastructure as code, preferably Terraform. Experience building and maintaining CI/CD pipelines. Working knowledge of containers and Kubernetes. Scripting skills in Python, PowerShell, or Bash. Understanding of common security risks in cloud and web applications, and how to fix them. Ability to explain technical risk clearly to engineers and non-engineers. Preferred Qualifications Experience with Azure specifically, including private endpoints, VNet integration, and Entra ID managed identities. Experience with application security testing (SCA, SAST, DAST), and interest in applying AI to security testing. Experience coordinating penetration tests or working with external security firms. Experience with OpenTelemetry, Azure Monitor, or similar observability tools, including writing alert queries (KQL is a plus). Familiarity with SOC 2, ISO 27001, or CIS Benchmarks. Interest in AI tooling and how to deploy and monitor it safely. Security certifications such as AZ-500, Security+, or similar are a plus. Background in logistics or transportation is a bonus.