Вакансии

Location: United States Workplace: Remote We are committed to providing our customers with reliable and secure services so we are building out our newly formed Site Reliability Engineering team. As one of the first joiners to our Reliability Engineering Team at ClickHouse, you will be responsible for building and leading processes to ensure the reliability, availability, scalability, and performance of our cloud infrastructure that runs ClickHouse databases. You will collaborate with different teams like Control Plane, Dataplane, Core, Security, Support and Operations and guide them to design and implement scalable, secure, highly available and fault-tolerant distributed systems. You will also own the areas of incident management and response, post-mortem analysis including running blameless postmortems, and continuous improvement of our ClickHouse services. You will be leveraging your software engineering expertise to develop software platforms and tools to optimize the operational and engineering efficiencies of ClickHouse Cloud. This role is a unique opportunity to make a significant impact on our elastic, limitless scale, high-performance, serverless ClickHouse Cloud. What will you do? - Collaborate with various engineering teams in ClickHouse to design and implement scalable, secure, and highly available systems for ClickHouse. - Establish and manage service level objectives (SLOs) and service level agreements (SLAs) for ClickHouse Cloud. - Ensure all the infrastructure components in ClickHouse Cloud (including Dataplane, Control Plane and ClickHouse Core) have monitoring and alerting in place to ensure timely detection and resolution of incidents. - Enhance and refine incident response processes and post-mortem analysis for any outages in ClickHouse Cloud including working with the support team to communicate to the impacted customers. - Continuously improve the reliability and performance of our ClickHouse services. - Plan, enable, and drive Chaos initiatives across Engineering teams, based upon internal priorities. - Manage on-call processes to respond to performance and reliability issues, and establish best practices for coordinating escalation to resolve issues and minimize downtime. About you: - Bachelor’s or Master’s degree in Computer Science or a related field. - At least 8 years of experience in Site Reliability Engineering or a related field. - Previous experience using ClickHouse in production.  - Hands on experience with Go and/or Python.  - Strong knowledge of cloud computing platforms such as AWS, Azure, or Google Cloud Platform. - Excellent understanding of distributed databases and SQL, particularly ClickHouse is a major plus. - Hands on experience with container orchestration tools such as Kubernetes or Docker Swarm. - Strong experience with automation and configuration management tools such as Ansible, Terraform, or Puppet. - You are a strong problem solver and have solid production debugging skills. - You are passionate about efficiency, availability, scalability, and data governance. - You thrive in a fast paced environment, and see yourself as a partner with the business with the shared goal of moving the business forward. - You have a high level of responsibility, ownership, and accountability. - Excellent communication and interpersonal skills.   #LI-Remote PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: Porto, Portugal Workplace: hybrid TeamViewer provides a leading Digital Workplace platform that connects people with technology—enabling, improving and automating digital processes to make work work better. Our software solutions harness the power of AI and shape the future of digitalization. We believe that our diverse teams and strong company culture are key to the success of our products and technologies, that hundreds of millions of users around the world and around 645,000 customers across all industries rely on. With more than 1,900 employees worldwide, we celebrate the unique perspectives and talents that each individual brings to the table and foster a dynamic work environment where new ideas thrive. Are you ready to join our team and make an impact? Responsibilities As a Junior Site Reliability Engineer (SRE) at TeamViewer, you will help ensure the reliability, availability, and performance of our Azure-based global SaaS platform. Working alongside experienced SREs, you will learn how to operate and continuously improve the systems that power our core products and services, helping to deliver a seamless experience to users worldwide. This is a great opportunity to build your career in reliability engineering. You’ll get hands-on experience with production cloud services, learning the fundamentals of observability, incident response, and automation, with the support and mentoring you need to grow. Help operate and maintain highly available, scalable cloud infrastructure supporting a global SaaS platform, under the guidance of senior engineers Support the deployment of feature and maintenance releases, following established processes to ensure safe and reliable delivery to production Help build and improve monitoring, alerting, and dashboards to support 24/7 service reliability Automate routine operational tasks to reduce toil and improve consistency Join on-call rotations once onboarded, with support from senior team members, helping to investigate incidents and escalating where needed Contribute to post-incident reviews and help identify reliability risks and improvement opportunities Create and maintain runbooks and operational documentation Collaborate with engineering teams to improve platform reliability, security, and operational maturity Support installations on customer environments Requirements D egree in Computer Science, Software Engineering, IT, or equivalent practical experience 0–2 years of experience in SRE, DevOps, system administration, or software development roles (internships, apprenticeships, or personal projects count) Hands-on experience with a public cloud platform, ideally Microsoft Azure (AWS or GCP also welcome) Exposure to Azure application platforms such as Azure Application Gateways and Azure App Services is a plus Familiarity with containers (e.g. Docker); exposure to Kubernetes is a plus Basic understanding of CI/CD concepts and pipelines (e.g. GitLab CI/CD, Azure DevOps) Interest in Infrastructure-as-Code and automation; exposure to tools such as Terraform or Argo CD is a plus Ability to write simple scripts (e.g. Python, Bash, PowerShell) Awareness of Identity and Access Management concepts (e.g. Keycloak, Entra) Basic knowledge of databases (e.g. PostgreSQL, MS SQL) Familiarity with monitoring and observability tools (e.g. Grafana, Prometheus, Datadog) is a plus Some software development experience is beneficial Basic understanding of networking (e.g. DNS, TCP/IP, HTTP) and security principles A proactive mindset, eagerness to learn, openness to feedback, and strong collaboration skills Fluent in English What we offer Onsite Onboarding in our HQ office for an optimal start Great compensation and benefits packages including company achievement bonus or sales bonus and regular salary reviews Public transport friendly offices Special terms for local gyms Access to Corporate Benefits platform with many discounts Regular Team events and company-wide celebrations Open door policy , no dress code rules, frequent all Hands and Leadership Lunches Hybrid and Flexible work time Work From Abroad Program allowing up to 40 days of work outside your contracting country We celebrate diversity as one of core values, join and drive one of the c-a-r-e initiatives together with us! TeamViewer is an equal opportunities employer and is committed to building an inclusive culture where everyone feels welcome and supported. We C-A-R-E and understand that our diverse, values-driven culture makes us stronger. As we continue to grow as a company, we also focus on enabling our employees to grow both personally and professionally. We are proud to have an open and embracing workplace environment that will empower you to be your best no matter your gender, civil or family status, sexual orientation, religion, age, disability, education level, or race. If you require any accommodations or adjustments during the application or hiring process, including interview or onboarding support, please reach out to your Talent Acquisition Partner, who will be happy to support you.

Location: Poland Workplace: remote Creatio is an AI CRM and workflow platform where people and AI agents work together — with no limits on users, agents, or scale. We help midsize and large organizations run customer workflows in the AI era. With a global team and a large ecosystem of partners, Creatio serves thousands of customers in over 100 countries and automates tens of millions of workflows daily. Genuine care for our clients and partners is at the heart of our DNA.We’re proud to be recognized by top industry analysts as a Leader and Strong Performer in multiple Gartner and Forrester reports. In 2025, Creatio was named to Inc.’s Best Workplaces list, recognizing our commitment to employee wellbeing and a strong workplace culture.Who We’re Looking For:We are looking for an experienced AI Tech Lead with a strong .NET engineering background and hands-on expertise in building production-grade AI solutions.In this role, you will lead the technical direction of an AI engineering team responsible for designing, developing, and operating intelligent capabilities within the Creatio platform.You will work on the AI agent platform that enables AI agents to safely perform real work within enterprise workflows — interacting with tools and APIs, accessing business data, maintaining context and memory, enforcing permissions, and collaborating with humans when needed.This is a hands-on technical leadership role that combines software architecture, advanced AI engineering, team mentorship, and active involvement in development.We are looking for someone who can make architectural decisions, solve complex engineering challenges, introduce modern AI development practices, and help the team deliver reliable, secure, and scalable AI-powered solutions.Responsibilities:Lead the development of architectural solutions, including AI-powered features, agentic workflows, RAG-based solutions, and LLM integrations.Drive continuous optimization of development processes; introduce modern tools, AI-assisted development practices, engineering standards, and quality improvements.Facilitate team ceremonies: backlog refinements, sprint planning, and sprint reviews (demos).Take an active part in backlog execution: pair programming, complex development, code reviews, and mentoring.Collaborate closely with stakeholders and product managers to define technical direction and translate business requirements into technical solutions.Guide the design and implementation of AI agent architectures, including tool calling, orchestration, context and memory management, permissions, and guardrails.Ensure high quality through automated testing, AI evaluations, observability, and continuous monitoring of production AI solutions.Monitor and guide incident response (4th-line support), ensuring SLA compliance and issue resolution.Actively contribute to knowledge sharing, team development, and continuous improvement.Requirements: Must have:6+ years of professional software engineering experience, with strong expertise in C# and .NET.3+ years of experience in a Tech Lead or Team Lead role, including architectural decision-making, technical ownership, and mentoring.Hands-on experience building and delivering LLM-powered applications to production.Strong understanding of AI agent architectures, including tool calling, orchestration, context management, and agent frameworks.Knowledge of prompt engineering, AI evaluations, observability, and AI security best practices.Proficiency with AI coding agents (Claude Code, Cursor, Codex, or similar tools) in daily development.Strong knowledge of software architecture, distributed systems, REST APIs, and backend engineering principles.Experience with relational databases, automated testing, CI/CD, and cloud-native development.English level: Upper-Intermediate or higher, with strong communication, leadership, and problem-solving skills.Nice to have:Experience with MCP, multi-agent systems, and advanced agent orchestration.Practical experience with RAG, embeddings, vector/hybrid search, and LLM integrations.Knowledge of LLMOps practices, including evaluation pipelines, monitoring, and cost optimization.Experience with AI platforms such as Anthropic API, Azure OpenAI, AWS Bedrock, or Google Vertex AI.Python experience for AI development, prototyping, or automation.Experience with Kubernetes, enterprise SaaS products, or low-code/no-code platforms.What to expect from us:Growth & Development: Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential.Flexibility & Well-Being: We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally.Recognition & Impact: A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one.Innovative Culture: Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve.Benefits & Rewards Package: We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type.

Проект Проведение полного цикла тестирования нового функционала системы RMS: «Журнал предварительной комплектации» и «Управление СМС-рассылками». Подготовка и выполнение тестовых сценариев, проведение регрессионного тестирования, выявление и документирование дефектов, взаимодействие с командой разработки и аналитиками, участие в автоматизации тестирования.

Location: London Workplace: OnSite Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. ROLE OVERVIEW As a Junior Application Security Analyst in the Information Security team, you will help secure Checkout.com http://Checkout.com’s software applications throughout the Secure Software Development Lifecycle (SSDLC). You will work closely with developers and product teams to integrate security early in the development process, identify and oversee the remediation of vulnerabilities, and ensure adherence to secure coding practices and application security standards. This role focuses on practical, hands-on security support while also growing your expertise in application security.   KEY RESPONSIBILITIES SSDLC & Secure Coding - Assist in integrating security controls into the SSDLC. - Support the creation and maintenance of secure coding guidelines (e.g., OWASP Top 10, CERT Secure Coding Standards). Application Security Testing - Run a Static Application Security Testing (SAST) and Software Composition Analysis (SCA) scans. - Conduct API security testing. - Support CI/CD pipelines to keep secure and effective integration. THREAT MODELING & APPLICATION SECURITY ANALYSIS - Participate in threat modeling sessions. - Document identified threats, assess risks and provide mitigation recommendations. - Assist in code and system reviews to analyse security in company’s products. VULNERABILITY MANAGEMENT - Triage and prioritise vulnerabilities from automated scans. - Track, verify and ensure security flaws remediation. - Assist to automate an AppSec pipelines COLLABORATION & AWARENESS - Collaborate with engineering teams to integrate security into product design and improve existing systems. - Help deliver training and awareness on SSDLC best practices and secure coding. - Contribute to security documentations. REQUIRED SKILLS & EXPERIENCE - 1–3 years in application security, secure software development, or related IT/security role. - Understand basic network technologies and protocols (HTTP, TCP/IP, DNS and the OSI model). - Understanding of common software vulnerabilities and their mitigations. - Basic programming experience in a popular language (e.g., Python, JavaScript, Golang). - Understanding of CI/CD pipelines and DevSecOps principles. - Basic understanding of cloud technologies (AWS, GCP or Azure) and GitHub security features. - Strong attention to detail in documentation and assessments. PREFERRED - Familiarity with SAST/DAST/SCA tools and API security testing platforms. - Exposure to cloud-native application security (AWS, Azure, GCP). - Understanding of container security (Docker, Kubernetes). - Experience of participating in Capture The Flag (CTF) competitions. KEY COMPETENCIES - Eager to learn and expand technical skills in application security. - Effective communicator with both technical and non-technical audiences. - Collaborative and proactive problem solver. - Ability to prioritise work. Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/

Location: Москва Мы поддерживаем высоконагруженную банковскую систему класса критичности Mission Critical+ (МС+). Это максимальный класс: система работает круглосуточно, и любой сбой сразу замечают клиенты банка. Третья линия — последний рубеж перед разработкой. К нам приходят инциденты, которые не решились ранее, а от нас уходят задачи, после которых эти инциденты не повторяются. Мы ищем инженера, которому мало просто потушить пожар: важно понять, почему он начался, и сделать так, чтобы он не случился снова Обязанности * Разбирать инциденты, эскалированные от бизнес пользователей, системы мониторинга и дежурной смены: не только сбои, но и деградацию производительности под нагрузкой. Находить причину по логам, метрикам, трассировкам и данным в БД. * Вести управление критичными инцидентами (процесс управления инцидентами): собирать нужных людей, координировать работу, держать бизнес и смежные команды в курсе статуса (коммуникационный план). Для системы МС+ счёт идёт на минуты. * Готовить справки по итогам инцидентов: хронология, влияние на клиентов и бизнес, первопричина, что уже сделано и что нужно сделать, чтобы инцидент не повторился. * Находить дефекты в продуктиве и подтверждать их: шаги воспроизведения, логи, запросы, ожидаемое и фактическое поведение. * Ставить задачи на исправление в разработку так, чтобы разработчику не пришлось ничего переспрашивать, и вести их до выката исправления. * Искать закономерности и повторяющиеся причины в прошедших инцидентах. * Предлагать и доводить до конца меры, которые снижают число инцидентов: исправления, изменения в процессах, автоматизацию. * Описывать новые метрики и алерты, если инцидент показал, что мониторинг не заметил проблему или заметил её поздно. * Разбирать метрики, которые срабатывают неверно (ложные срабатывания, пропуски, неверные пороги), и добиваться их исправления. Требования * Опыт от 3 лет во второй или третьей линии поддержки, в эксплуатации или SRE. * Опыт поддержки высоконагруженных систем, работающих круглосуточно. * Уверенные знания Linux: логи, процессы, сеть, базовый bash. * SQL на уровне, достаточном, чтобы самостоятельно найти и проверить данные в продуктивной БД. * Опыт работы с системами логирования и мониторинга: ELK / OpenSearch, Grafana, Prometheus, Zabbix * Понимание устройства распределённых систем: микросервисы, HTTP/REST, очереди Kafka / RabbitMQ, интеграции. * Знание процессов управления инцидентами и проблемами (ITIL или аналог). * Аккуратность в работе с продуктивными данными в рамках требований информационной безопасности. * Умение ясно писать: справка по инциденту и задача в разработку — ваш основной рабочий результат. * Спокойствие и собранность во время критичного инцидента. Будет плюсом: Будет плюсом * Опыт работы в банке или финтехе, понимание банковских процессов: платежи, карты, расчёты. * Опыт ведения крупных инцидентов и проведения разборов в формате blameless postmortem. * Kubernetes, Docker. * Умение читать код Java / Python настолько, чтобы найти место дефекта. Писать продуктовый код не требуется. * Трассировка и APM: OpenTelemetry, Jaeger и аналоги. * Понимание SLI/SLO и практик SRE. * Скрипты автоматизации на Python или bash. * Сертификат ITIL 3/4 Foundation. Условия * Комфортный современный офис (ст.м.Кутузовская) * 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 * бесплатная подписка СберПрайм+, скидки на продукты компаний-партнеров * вознаграждение за рекомендацию друзей в команду Сбера.

– Опыт разработки на С++ от 5 лет; – Опыт работы на Python и других языках программирования будет плюсом;

Ищем Senior QA Engineer с коммерческим опытом разработки автотестов на C# на крупный банковский проект в направлении корпоративного кредитования. ➖ Разработка, поддержка и развитие автотестов на C#;

Location: Алматы Задачи Разрабатывать ML модели для широкого круга задач; Участвовать в разработке сервиса на основе ML на всех этапах: от сбора данных до выкатки в продакшн и дальнейшего мониторинга/сопровождения сервиса; При необходимости оптимизировать модели под HighLoad системы; Тесное взаимодействие со своей продуктовой командой; Работать с нейронными сетями и обучать PyTorch модели для production; Интегрировать языковые модели (LLM/SLM) в существующие сервисы компании. Требования Понимание теории вероятности, математической статистики, линейной алгебры; Знание “классического ML” на хорошем уровне (регрессия, методы кластеризации, деревья решений и их ансамбли); Знание основ Deep Learning в сфере CV и NLP (работа с разнородными данными: изображения, текст, табулярные данные); Владение Python (опыт использования Pytorch) и связанным с ним стэком для ML (pandas, sklearn, numpy); Знание Git и Docker. Будет плюсом Опыт разработки ML решений в одной из следующих областей: NLP, CV, Recommendation Systems; Опыт работы с DVC, MLFlow; Опыт работы с airflow, bigquery; Понимание kubernetes.

Middle Full-Stack разработчик IT Вакансии Мы ищем Middle Full-Stack разработчика, который будет проектировать, разрабатывать и поддерживать современные облачные веб-приложения. Вы будете работать по всему стеку - от backend-сервисов на .NET и облачной инфраструктуры до отзывчивых frontend-интерфейсов.

🕹 Список обязанностей: — Развитие и оптимизация инфраструктуры DataOps, внедрение современных архитектурных решений и автоматизация инфраструктурных процессов; — Участие в разработке отказоустойчивого кластеризованного решения ClickHouse в on-prem-среде;

Location: New York; Florida; Massachusetts; Virginia; Georgia; Pennsylvania Workplace: Remote About Chainalysis Blockchain technology is powering a growing wave of innovation. Businesses and governments around the world are using blockchains to make banking more efficient, connect with their customers, and investigate criminal cases. As adoption of blockchain technology grows, more and more organizations seek access to all this ecosystem has to offer. That’s where Chainalysis comes in. We provide complete knowledge of what’s happening on blockchains through our data, services, and solutions. With Chainalysis, organizations can navigate blockchains safely and with confidence. About the team Product Security at Chainalysis keeps our SaaS platform — used by governments, banks, and crypto exchanges to investigate financial crime — secure by design. We partner directly with product and platform engineering on threat modeling, design reviews, penetration testing, and remediation of findings across our AWS and Kubernetes estate. As a Senior Security Engineer, Infrastructure, you’ll help secure and operate the cloud and Kubernetes environments that support Chainalysis products and our Hosted AI Platform (HAIP). You’ll combine production operations with practical security engineering: responding to platform alerts, troubleshooting infrastructure, and shipping guardrails and improvements through Terraform and Kubernetes. You’ll work closely with Infrastructure Security, Platform Engineering, AI Core, and other engineering partners to address risks at their source and make secure, reliable infrastructure easier to operate. This is a hands-on engineering role for someone who is comfortable in a terminal, has supported production systems, and can take an infrastructure issue from investigation through resolution. In this role, you’ll: - Troubleshoot Kubernetes workloads and cloud services, investigating pod health, logs, errors, latency, and upstream provider issues to find root causes. - Ship reviewed Terraform and Kubernetes changes that strengthen HAIP and broader cloud infrastructure security and reliability. - Improve AWS and edge/network controls—including IAM, networking, secrets, encryption, logging, and Cloudflare—and reduce recurring misconfigurations through reusable patterns and runbooks. - Use Python or similar scripting, monitoring improvements, and cross-team partnership to automate operational work and drive fixes through to completion. - Participate in the AI Product on-call rotation, triage production alerts, communicate clearly, and escalate when needed. We’re looking for candidates who have: - Production cloud infrastructure experience, preferably in AWS, plus working knowledge of security controls such as IAM, networking, secrets, encryption, or logging. - Hands-on production Kubernetes experience: inspect workloads, read logs, and troubleshoot failures using command-line tools. - Experience authoring Terraform changes that have been reviewed and deployed to production; comfort shipping changes through Git and pull requests. - Production on-call or incident-response experience, including alert investigation, clear communication, and sound escalation judgment. - Python or similar scripting ability, familiarity with monitoring/logging tools - Experience working with stakeholders across the R&D organization to collaborate and resolve security issues with urgency and a team-first approach. NICE TO HAVE: - Experience operating AI/ML infrastructure, LLM platforms, or services integrating with model providers; familiarity with AI gateway concepts such as model routing or quotas. - Experience with Cloudflare or other edge/network security controls. - Exposure to cloud security posture management tools such as Wiz, Prisma Cloud, or Orca. - Experience with GitOps tools such as Argo CD or Flux. - Familiarity with blockchain, crypto, fintech, or regtech infrastructure. TECHNOLOGIES WE USE: - Cloud and containers: AWS, GCP, Kubernetes (EKS/GKE) - Infrastructure-as-Code: Terraform - Security tooling: Wiz, SonarCloud, Burp, Cloudflare - CI/CD and source control: GitHub, GitHub Actions, Artifactory and related build/deploy tooling - Languages and scripting: Java, JavaScript, Python, Go - AI Coding Agents, Tooling, Systems AI at Chainalysis AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it. AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before. About Chainalysis Chainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation. You belong here.  At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture. We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here https://go.chainalysis.com/rs/503-FAP-074/images/Interview%20Accommodations%20Request.pdf. We can’t wait to meet you.

Location: Amsterdam, Netherlands About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. Summary: Location: Amsterdam Duration: 3 months Start date: Winter 2027 Compensation: Paid Eligibility: Current University student (Computer Science or related field), Recent Graduate or Early Career specialist Work authorization: Permitted to work in the job's location The role We are looking for a Software Engineer to join us as a part of Early Talent Program. You will work alongside experienced engineers, learn how high-performance backend systems are designed and operated, and contribute code that runs in real environments used by customers worldwide. You will get hands-on experience with distributed systems, workflow orchestration and engineering best practices in a team working at the cutting edge of AI cloud infrastructure. The team The Compute Control Plane team builds the core of the Nebius cloud: the Compute API, through which every VM, disk, snapshot and GPU cluster is created. The service manages 50K+ resources across 10+ regions and coordinates with storage, networking, quotas, billing and IAM, handling long-running operations and hardware failures along the way. We work in Go, gRPC, Temporal and Kubernetes. Current projects include snapshots, live VM updates, resource reservation, rate limiting and protection against cascading failures. Our engineers own their features end-to-end, from design to production. We expect you to have: Knowledge of at least one programming language (Go is a must) Understanding of basic algorithms and data structures Strong motivation to learn, grow and develop as a backend engineer Willingness to work with complex systems and ask questions What we offer: Competitive salary and comprehensive benefits package Mentorship from experienced AI, ML and cloud infrastructure professionals Hands-on experience with real customer workloads and production systems Opportunities for professional growth within Nebius A dynamic and collaborative work environment that values initiative and innovation Opportunity to be considered for a full-time role after the Early Talent Program We conduct coding interviews as part of the process. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know. #LI-MM3 Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Спроектировать и внедрить целевую архитектуру CI/CD, управления релизами и конфигурациями для крупной многокомпонентной системы. Обеспечить воспроизводимость поставок, контролируемое продвижение изменений между изолированными средами, автоматизированную проверку целостности артефактов и конфигураций, снижение ручных операций и влияния человеческого фактора.

— Проектировать и разрабатывать backend-сервисы на Java. — Реализовывать транзакционную и финансовую логику.

- Доработка бэкенд-логики на Java (если требуется), настройка RBAC/ABAC через API и Policies, кастомизация UI (темы, компоненты, страницы), добавление кастомных полей в формы.

Location: Milan Workplace: Hybrid Build with us Businesses deserve better from finance. Less friction, more freedom. Since 2004, Mollie has been on a mission to make payments and money management effortless for every business in Europe. Today, more than 250,000 companies trust our all-in-one platform to get paid, manage money and grow on their terms. Simple, scalable and built with real businesses in mind. We’re one of Europe’s fastest-growing fintechs, with 900+ Mollies across 12+ locations. Our people make this growth possible. We move fast, build with purpose and care deeply about our customers. Whether you're solving problems, building market-leading products or exploring how AI can make work smarter, you’ll have the freedom to create and the trust to deliver. If you’re ready to grow, shape the future of fintech and join an ambitious, high-performing team, this is the place for you. Your impact Join our dynamic Developer Enablement domain at Mollie as an Platform Engineer, where you'll play a pivotal role in enhancing our monitoring systems, ensuring operational excellence across our platforms. As a Platform Engineer on the Observability team, you'll be working on providing deep insights into our services' health, enabling engineers to diagnose issues, and optimising platform usage to deliver an unparalleled service experience to our customers. What you’ll ship - Develop and maintain our observability tools and platforms, focusing on high-quality, scalable solutions. - Collaborate with engineering teams to integrate observability practices into the development lifecycle, enhancing system transparency and reliability. - Lead the creation and adoption of standardised observability frameworks to ensure consistency and efficiency across the organisation. - Design, implement, and refine data pipelines that collect, aggregate, and normalise telemetry data from diverse sources. - Advocate for best practices in code instrumentation, ensuring high-quality data collection for insightful monitoring and analysis. - Contribute to the development of a comprehensive service inventory, tracking changes and impacts to guide operational decisions. - Engage in continuous learning and sharing of knowledge within the team, promoting a culture of innovation and excellence in observability. What you’ll bring - A solid background in software engineering, with a specific passion for observability and monitoring of distributed systems. - Experience with at least one major cloud-based provider - Experience in tools such as Grafana, Prometheus, Datadog, and Sentry, and development practices using Kubernetes, Helm, Docker, Terraform. - Know your way around Linux systems and the shell - Demonstrated experience in developing or adopting libraries for seamless integration with observability tools. - Good coding skills in languages relevant to our stack (e.g., PHP, Java, Python, Go). - Excellent problem-solving skills, with a creative approach to tackling complex challenges. - Outstanding communication and collaboration skills, comfortable working in a hybrid work environment to foster team synergy and influence without authority. - Bonus: Prior experience with Data Analytics and Data Pipelines to collect and derive insights from observability data. Grow your way At Mollie, growth is personal. We believe everyone should have the chance to develop their skills, explore new challenges and shape their career on their own terms. You’ll get regular feedback and performance reviews to support your development, with fair and transparent salary reviews along the way. Many Mollies move into new roles or take on new projects to stretch themselves, and we actively hire from within to help you take the next step. No matter if you’re aiming for promotion, exploring a different career path or building new skills, you’ll be supported with the tools, trust and opportunities to grow your way. Unlock your full potential and join us to eliminate financial bureaucracy If you're excited by the idea of building what’s next, for yourself and for thousands of businesses across Europe, we’d love to hear from you. AI at Mollie We believe in Always Be Shipping, and AI brings https://jobs.mollie.com/ai-manifesto that philosophy to life across every team, every role, every day AI is core to how we build. It helps us move faster, simplify work and make smarter decisions, creating real impact for the businesses we serve. We’re looking for people who are excited to use AI to shape the future of finance with us. Please apply with your CV in English Kindly note that relocation or visa support is not offered for this role.

Location: Remote, Poland; Agios Athanasios, Cyprus; Tbilisi, Georgia; Kazakhstan; Armenia; Portugal; Serbia; Spain Workplace: fully Simple Life is the #1 AI-powered health coaching app for adults who want to lose weight and enjoy a healthier lifestyle-without the stress or extremes. Our mission is to empower people to feel their best every day. By challenging traditional, restrictive approaches, Simple offers a more sustainable method grounded in ease, personalization, and real-life support. Simple has had over 17 million downloads and more than 300,000 5-star reviews, having helped millions lose weight successfully and sustainably. Simple has earned recognition as Best Virtual Coach and one of the Top 100 AI companies — all thanks to a dedicated global team driving real impact. With SIMPLE as a partner in their pocket, users feel cared for and empowered to embrace - and stick to - new healthy habits. To learn more, visit simple.life. We are looking for a hands-on Senior Security Engineer with a strong background in application security and cloud-native infrastructure. You will work directly with Engineering and SRE to design, implement, and improve security controls across our applications, cloud environments, and development pipelines. This is an engineering-first role. We are looking for someone who is comfortable working with code, infrastructure, and automation rather than relying solely on security tools and processes. Our main application stack is written in Go and runs on AWS and Kubernetes/EKS. This is a practical engineering role, so we’re looking for someone comfortable working with code, infrastructure and automation. Security is an independent function, giving you the chance to work across teams, own projects and shape how security is built into our systems. What you'll do: Improve application security across the SDLC through threat modeling, secure design reviews, code review, and automated security testing. Implement and maintain security controls in AWS and Kubernetes/EKS, including IAM, network policies, secrets management, workload security, and admission control. Develop security automation, infrastructure-as-code policies, and reusable tooling for engineering teams. Investigate vulnerabilities, assess their exploitability, and work with engineering teams on remediation. Support technical security assessments, penetration testing, and remediation of identified findings. Help improve security logging, detection, and incident response capabilities. Implement and maintain technical controls supporting HIPAA, SOC 2, and other relevant requirements. Take security engineering projects from design through implementation, rollout, and ongoing improvement. What we're looking for: 5+ years of relevant experience in security engineering, application security, cloud security, or software engineering with a security focus. Familiarity with HIPAA, SOC 2, or ISO 27001 requirements. Strong hands-on experience in application security, cloud security, or both, with a willingness to work across these areas. Production experience with AWS and Kubernetes. Good understanding of web and API security, authentication, authorization, and common application vulnerabilities. Ability to read and write code in Go, Python, or a similar language. Experience with CI/CD security and infrastructure-as-code. Experience working with security scanning tools and vulnerability management. Understanding of IAM, cloud networking, secrets management, and container security. Ability to independently investigate technical problems and implement practical solutions. Comfortable working directly with developers and infrastructure engineers. Strong written and spoken English. Would be a plus: Offensive security experience, penetration testing, or bug bounty work. Experience with Istio, mTLS, and Kubernetes network policies. Experience with Kyverno, OPA, Cilium, or similar technologies. Experience with supply-chain security tooling such as Cosign, Sigstore, or Syft.