Вакансии

Задачи: - написание сервисов для команды рекомендательных систем; - разработка систем мониторинга качества рекомендательных систем; - настройка мониторинга и алертинга качества данных; - написание unit тестов (pytest), тестов для различных участков ML пайплайна, участие в код ревью. Требования: - опыт работы с рекомендательными системами от 2х лет; - опыт полного цикла решения ML-задач: от аналитики до вывода моделей в прод (от 3-х лет); - отличные знания Python, SQL, классического ML-стека и соответствующих ему библиотек; - владение одним из DL фреймворков (torch/tensorflow/keras); - глубокое понимание рекомендательных систем: подходы, типичные проблемы, метрики, А\Б тестирование; - опыт написания Unit-тестов, разработки архитектуры и Code Review; - опыт работы с инструментами разработки и CI/CD — Git, Jenkins, GitLab, Jira.

Location: Remote, Canada; Remote, US GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role GitLab is building the most comprehensive AI-powered DevSecOps platform, and this role will help shape how teams move from planning to code in an AI-native software development lifecycle. As Senior Product Manager, Source Code, you'll shape how planning and managing source code will evolve in an AI-native software development lifecycle. This role is focused on bringing planning and code closer together, so teams can move from requirements and specifications to commits, merge requests, and customer value with speed and quality. This area is evolving quickly. We're exploring how AI agents can use specifications, context, and human feedback to build the right thing, not just build the thing right. You'll define new product experiences for spec-driven, human-in-the loop development: how the link between planning intent and the code that implements it gets created, stays accurate as both change, and gets used at review time. The hard part is that this link decays. Code moves, specs might not follow, you will define how to make that connection self-maintaining. This is an ambiguous, high-impact opportunity for a product manager who has strong software development lifecycle knowledge, is comfortable working with technical teams, and wants to help create something new in DevSecOps. What You’ll Do Define and drive product strategy for experiences that connect planning, source code management, and AI-assisted development. Shape workflows where teams and agents move between intent and code in both directions, so a specification can be traced to the merges that implement it and a diff can be read and reviewed against the intent behind it. Work with engineering, design, and other product teams to build product experiences that support human-in-the-loop and autonomous development workflows. Partner with teams working on demos and prototypes, including near-term work around spec-driven planning and autonomous development modes, including which decisions stay with a human and why. Use customer insights, product usage data, and market context to identify opportunities that can deliver customer value quickly. Help teams ship fast with quality, balancing near-term execution with longer-term product direction. Explore how planning can better account for reviewing code, reviewing test cases, and validating that work produced by agents matches the intended outcome. Collaborate across Plan, Source Code Management, Code Review, and AI product areas to reduce friction across the software development lifecycle. What You’ll Bring Experience as a product manager working on developer tools, DevOps tools, source code management, planning tools, AI-native products, or related software development lifecycle products. Direct, hands-on experience with the source code lifecycle, including branches, merge requests, code review, CI/CD, and releases, whether as a product manager or as an engineer, along with a strong understanding of how software moves from ideas and requirements through planning, coding, review, testing, and delivery. Experience working with technical product areas and engineering teams, with enough technical depth to understand developer workflows and tradeoffs. A data-forward approach to product management, including experience using data to identify customer impact and guide prioritization. Comfort operating in ambiguous spaces where there may not yet be a clear market pattern or established product category. Experience building or shipping with AI tools and agents, not just using them, and a point of view of your own on where AI helps and where it does not across the software development lifecycle. Ability to think creatively about how AI changes the software development lifecycle and how product experiences should adapt. Strong collaboration and communication skills, especially in an all-remote, asynchronous environment. A bias toward action and the ability to help teams ship meaningful customer value quickly. About the team This role sits within the Product organization and will work closely with teams across Plan, Source Code Management, Code Review, and AI. We are focused on helping GitLab customers plan, build, and deliver software in a faster, more connected way. You'll join a group that is rethinking how planning and coding should work as AI changes the speed and shape of software development. Rather than treating planning, coding, and review as separate stages, we're exploring how to bring these workflows closer together so humans and agents can collaborate more effectively. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $139,200 — $235,200 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Malta The Wow As an Observability DevOps Engineer specializing in observability platforms, you will play a pivotal role in enhancing the visibility, reliability, and performance of our systems and applications. Leveraging your expertise in modern technologies and protocols, you will be responsible for implementing, and maintaining robust observability solutions to monitor, analyse, and troubleshoot our distributed systems. This position requires passion about leveraging observability platforms to drive operational excellence and thrive in a dynamic, collaborative environment. It also requires strong technical skills in AWS, Terraform, Git workflows, and a deep understanding of DevOps principles. Our Product Development organisation is truly Global with cross functional teams spanning 6 Tech Hubs – Malta, Budapest, Stockholm, Tallinn, Kyiv and Athens. With around 1,000 professionals, the technology organisation is spear-headed by our CTO-CPO with all our talented Area Teams working together. A taster of what you will be involved with: Design, deploy, and maintain observability platforms and tools such as Prometheus, Grafana LGTM+ stack, OTel and others to provide comprehensive insights into system behaviour and performance. Collaborate with development, operations, and other cross-functional teams to integrate observability solutions into the CI/CD pipeline and automate monitoring and alerting processes. Develop custom monitoring solutions and instrumentation libraries to capture relevant metrics, logs, traces, and events across microservices architectures. Configure and optimize telemetry collection, storage, and visualization components to ensure scalability, reliability, and cost-effectiveness. Implement anomaly detection algorithms and predictive analytics to proactively identify and mitigate potential issues before they impact users. Conduct thorough root cause analysis of incidents and performance bottlenecks, leveraging observability data to drive continuous improvement initiatives. Stay abreast of emerging trends, best practices, and industry standards in observability, and assess their applicability to our environment. Provide mentorship and technical guidance to junior team members, fostering a culture of knowledge sharing and collaboration. You will be expected to form part of a 24/7 on call roster to support your engineering team during out of office incidents calls Drive automation initiatives using Terraform, Git workflows, and other DevOps tools to streamline deployment processes and improve operational efficiency. What we are looking for Hands on experience with most of the following technologies: AWS Kubernetes Helm Ansible Proficiency in scripting languages such as Python, Bash, or Go for automation and tooling development. Hands-on experience with containerization and orchestration technologies (e.g., Docker, Kubernetes) in cloud-native environments. Strong understanding of distributed systems architecture, networking concepts, and security principles. Familiarity with modern observability protocols and standards, including OpenTelemetry for unified observability. Expertise in configuring and managing monitoring solutions like Prometheus, Grafana LGTM+ stack, and APM tools. Experience with infrastructure as code (IaC) tools such as Terraform or Ansible for provisioning and configuration management. Knowledge of eBPF (extended Berkeley Packet Filter) for deep observability into the Linux kernel and user-space applications. What we offer Much like riding a rollercoaster, sometimes life at Betsson can be lightning fast with twists and turns but always FUN! Then again, what else would you expect from a business 75% millennial and 3,000+ strong, spread across 7 offices with 1,500 based out of our Malta HQ alone! We recognise it may not be for the faint-hearted, but if you’re a go-getter, initiator and adrenaline junkie, always striving to push the boundaries and challenge yourself, then you’ll fit right in. Challenge accepted? By submitting your application, you understand that your personal data will be processed as set out in our Privacy Policy

Location: Hybrid - San Francisco About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role The CDN Content team is responsible for serving all content that flows through Vercel's global CDN — static assets, optimized images, incrementally regenerated pages, partially prerendered shells, and everything in between — to billions of requests for millions of developers. Our focus is performance: ensuring content is served globally as fast as possible. Caching plays a big role in making that happen, and the team operates a multi-tier caching architecture spanning in-process caches, regional cache services, and object storage across 20+ regions. As a Software Engineer on the team, you'll take on well-scoped projects with real production impact and grow into owning larger pieces of the system. The work spans the serving path end to end, and everything ships through careful, progressive rollouts validated with production data. You'll learn how a planet-scale CDN works from engineers who built it. This is a team where infrastructure meets product: we work in close partnership with frameworks such as Next.js, bringing framework-defined infrastructure to life on Vercel's CDN, and the serving and caching behavior we ship directly shapes the performance and cost that millions of developers see. You'll develop strong instincts for distributed systems, careful production rollouts, and data-driven engineering. If you're based within a pre-determined commuting distance of one of our offices (SF or NY), the role includes in-office anchor days on Monday, Tuesday, and Friday. If you're located beyond that distance, the role is fully remote. For location-specific details, please connect with our recruiting team. What you'll do Build and improve the services behind ISR, PPR, and image optimization — working in Go, Lua, and TypeScript across the serving path. Execute well-defined projects independently, from implementation through safe rollout (feature flags, shadow modes, progressive deployment) and post-ship validation. Monitor and maintain your work in production: build dashboards, add metrics and alerts, and develop ownership of what you ship. Contribute to the team's observability and testing surface — the dashboards, log views, and e2e test suites that keep a high-change system trustworthy. Participate in the on-call rotation with support from senior engineers, and contribute to incident follow-ups that make the system more resilient. Collaborate with teammates and partner teams (Next.js, CI/CD) through design discussions, code review, and pairing. What you need 2+ years of experience building and operating backend services in production. Proficiency in at least one of Go, TypeScript/Node.js, or a comparable systems language, and enthusiasm for working across a polyglot stack. Solid understanding of HTTP and web fundamentals — caching headers, request/response lifecycle, what a proxy does. You write code you're willing to operate: tested, instrumented, and documented. Curious about how large-scale systems work, and motivated to dig into unfamiliar code and production data to figure things out. A collaborative teammate who communicates clearly, asks good questions, and follows through reliably. Bonus if you Have experience with caching systems (CDNs, Redis/Memcached, application-level caches) at any scale. Have AWS experience, particularly S3 or ElastiCache. Have used Next.js or another modern web framework and understand rendering modes like SSR/SSG/ISR. Have experience with observability tooling (Datadog, Honeycomb, or similar). Have experience with Terraform or Kubernetes. Compensation & Benefits: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA base pay range for this role is $172,000 - $258,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: Lisbon Workplace: Hybrid Build with us Since 2004, we've had one clear goal: to make payments and money management effortless for every business in Europe. Today, more than 250,000 companies use Mollie to get paid, manage money and grow – with products designed to be simple, scalable, and dependable. With 950+ Mollies across 14+ locations, we care deeply about autonomy and craft. So we work in small teams, with real ownership, and we trust you to make the right decisions. We're building for the long term, so we provide the tools you need, processes you can rely on, and a balanced work environment to help you do work you're proud of. Sound like your kind of place? Let's build together. Your impact The Merchant Experience domain's mission is to craft seamless experiences so every Mollie moment feels intuitive, secure, and supportive. The vision is simple: customers stay focused on growing their business while Mollie just works. We are hiring UI Engineers across the domain. We care deeply about quality and well-designed experiences, not only for our customers, but especially for the engineers building Mollie's products. This means creating clean, well-documented APIs, reliable tooling and smooth workflows that make development, testing, localisation, and releases easier and more predictable. It also means owning the design system and navigation experience that merchants interact with every day, driving engagement, accessibility, and product activation at scale. As a UI Engineer, you bridge the gap between platform capabilities and the teams that rely on them, working across the frontend, backend and infrastructure as needed. This is not a role where you ship one feature and move on. You will have real ownership, real visibility, and the chance to do work that matters at scale.   What you'll ship - Own and evolve the Mollie UI design system, ensuring consistency and quality across web and mobile. - Rebuild and improve the mobile navigation architecture, covering both the system design and the visual experience. - Improve app accessibility in line with compliance standards, making Mollie more inclusive for all merchants. - Strengthen testing practices and automation to raise reliability and reduce regressions across the app. - Own the Upsell infrastructure and in-app messaging that enables targeted campaigns to drive merchant engagement and product activation. What you'll bring - 5 or more years of experience developing mobile apps and web applications, with solid hands-on React and/or React Native experience and a genuine, deep understanding of JavaScript fundamentals at a low level. - Experience with CI/CD pipelines and app release processes. - Comfort working with native browser APIs and language primitives, and enough CSS confidence to implement interfaces using design system components. - A track record of building or maintaining products at medium to large scale, where code quality, reliability, and performance actually matter, including experience with test-driven development and REST API design. - A product-first mindset with end-to-end ownership, from design iteration through to delivery with a focus on user experience and measurable outcomes. - A generalist mindset with strong communication skill. - Always Be Shipping mindset: consistently delivering value to customers, where speed and quality go hand in hand. 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. Apply with your CV (in English) using the form below. Want a peek behind the scenes? Check out what life at Mollie is really like. AI at Mollie We believe in Always Be Shipping, and AI brings 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.

Location: Austin; Yerevan Workplace: OnSite About the role Teza's Data Platform team owns the data the firm trades on: every backtest, every live strategy, every portfolio decision starts with data we ingested, cleaned, stored, and served. The scale, in plain numbers: - 1 PB of raw historical vendor data, growing by ~150 GB every day - 120 TB of processed, query-ready data in historical storage - Thousands of scheduled jobs: run by cron today, actively migrating to Apache Airflow - Alternative data delivered directly into the real-time feeds of live trading strategies This is a hands-on position on a small team of data engineers with growth potential. The firm is looking for outstanding technical skills, strong attention to detail, and a desire to architect and build data platforms. Location Austin, TX / Yerevan, Armenia (in-office requirement) Key Responsibilities - Work directly with Portfolio Managers and Quantitative Developers: turn their requirements into datasets and pipelines, and be the person who knows every nuance of the data they trade on. - Design and onboard new data sources into our warehouse; improve the robustness, speed, and scalability of our systems; manage data entitlements. - Build automated systems for data cleansing, anomaly detection, monitoring, and alerting, bad data must never reach a strategy. - Evaluate new tools and technologies for organizing, querying, and streaming large datasets, and when nothing on the market fits, build it. That's how the bitemporal store happened. - Support the production data warehouse the firm depends on. - Develop and maintain vendor relationships aligned with our business objectives. What we're building right now - A bitemporal data store, designed and written in-house from scratch. Every dataset answers both "what did we know then?" and "what do we know now?", which is what lets researchers trust a backtest. - A Python 3.14 migration of a large, long-lived codebase. - Adoption of the latest Apache Airflow: writing DAGs for the thousands of jobs moving off cron. - Pipelines for market data and alternative data: everything from exchange feeds to weather. - Real-time delivery: alternative data flows straight into strategies' live feeds. Pipelines you build sit in the trading path. - CI/CD for all of it, in GitHub Actions. Our Stack Python and Java · Apache Airflow · Slurm · NATS · PostgreSQL · MongoDB · S3 · NFS · GitHub Actions   Basic Requirements - Proficiency in Python and Unix/Linux for data manipulation, scripting, and automation. - Strong SQL, including query optimization and performance tuning, and familiarity with NoSQL. - A solid grasp of data modeling: normalization and denormalization, and the judgment to know when each applies. Nice to have - Financial industry experience or internships. - Java (part of our platform is written in it). - Experience with on-premises data infrastructure. - Familiarity with a cloud platform (AWS or GCP). - Apache Airflow or similar workflow orchestration tools. Benefits - Health, visual and dental insurance - Flexible sick time policy

Необходимые знания и навыки: - Опыт программирования на Python - Операционные системы Linux - на уровне понимания архитектуры данного семейства ОС, способности заглянуть в код, например ядра Linux, когда необходимо улучшить свое понимание устройства какого-то смежного компонента - Принципы построения сетевых инфраструктур и функционирования использующихся в них протоколах (Ethernet, IP, control plane протоколы BGP, OSPF) - Желателен опыт работы с CLI сетевых устройств Как плюс: - опыт разработки и сопровождения решений с высокими требованиями к надежности - опыт разработки сервисов (daemons) в среде Linux - работа с кодом в системе SCM (Git, GitLab) - применение подходов DevOps и CI/CD Задачи: - Проектировать и воплощать в коде функции сетевой ОС, относящиеся к Control Plane, в виде вспомогательных сервисов, такие как: синхронизация различных состояний между сетевыми устройствами (например MC-LAG) реализация API и CLI для доступа к отдельным сетевым функциям устройства (REST API, Netconf, gNMI) - Исправлять ошибки (баги) и улучшать производительность системы - Взаимодействовать с разработчиками других блоков, например, Data Plane - Следить за развитием и тенденциями отрасли с целью реализации в нашем продукте функций, отвечающих запросам рынка - Принимать участие в планировании развития итогового продукта (roadmap) Организационные детали и условия: Мы стремимся привлечь коллег, которые получают такое же, как и мы искреннее удовольствие от изучения устройства сложных систем, микроэлектроники, от разработки в Linux-среде и от создания достойного продукта, которым мы будем гордиться перед заказчиками и внутри профессионального сообщества. Мы приветствуем те режимы работы, которые делают наших коллег продуктивными: если любите разделять рабочее и домашнее пространства — будем рады видеть вас в нашем офисе - м. Ленинский проспект/Площадь Гагарина если вам лучше работается удаленно — нас это устраивает, главное — результат

Location: Malta The Wow We are looking for a skilled DevOps Engineer to help build, maintain, and optimize the infrastructure powering our world-class gaming products. In this role, you will design and implement scalable, secure, and reliable infrastructure solutions while driving DevOps best practices across the organization. You will play a key role in automating deployments, improving system reliability, and collaborating with cross-functional teams to ensure seamless delivery of our products. Key Responsibilities Design, implement, and maintain scalable infrastructure and technological solutions for production and development environments. Build, manage, and optimize CI/CD pipelines to enable efficient, reliable, and automated software deployments. Develop, enhance, and maintain monitoring, logging, and alerting systems to ensure high availability and rapid incident response. Collaborate with Engineering, Product, QA, and other stakeholders to support infrastructure needs and improve operational efficiency. Automate repetitive processes to improve deployment speed, consistency, and reliability. Troubleshoot infrastructure, deployment, and application issues while driving continuous improvements. Implement and promote DevOps best practices, including infrastructure as code, automation, and security. Support production environments, ensuring system stability, performance, and scalability. Requirements Proven experience as a DevOps Engineer or in a similar infrastructure-focused role. Hands-on experience with CI/CD tools and deployment automation. Experience with cloud platforms (e.g., AWS, Azure, or Google Cloud Platform). Strong knowledge of containerization and orchestration technologies such as Docker and Kubernetes. Experience with infrastructure as code tools such as Terraform, CloudFormation, or Ansible. Familiarity with monitoring and logging tools (e.g., Prometheus, Grafana, ELK, Datadog, or similar). Good understanding of Linux systems, networking, and scripting (Bash, Python, or similar). Strong problem-solving skills with the ability to work in a fast-paced, collaborative environment. Excellent communication skills and the ability to work effectively across multiple teams. Nice to Have Experience within the online gaming or iGaming industry. Knowledge of security best practices and DevSecOps principles. Experience managing high-availability, distributed systems. Familiarity with GitOps workflows and modern cloud-native architectures. Challenge accepted? By submitting your application, you understand that your personal data will be processed as set out in our Privacy Policy

Location: Baku Workplace: onsite ABOUT YOU We are looking for a junior application security specialist to join a growing security team at Xsolla. This is a hands-on role where you will work closely with senior specialists to identify, assess, and help remediate security vulnerabilities across our products and infrastructure. You will be involved in day-to-day AppSec work - code reviews, vulnerability triage, threat modeling, and security testing. You are curious, detail-oriented, and eager to develop deep expertise in application security. You do not need to have all the answers, but you ask the right questions and follow through. This is a strong learning environment. You will be exposed to real-world security challenges in a payment platform operating at scale, and supported by experienced security specialists who will help you grow.   ABOUT US   Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. Responsibilities Triage Security Findings - Assess incoming bug bounty reports and scanner findings. Evaluate validity, calculate real severity, and escalate appropriately with clear written summaries. Assist with Vulnerability Assessments - Participate in security assessments of web applications and APIs. Help identify and document risks in new features and existing systems. Write Clear Security Documentation - Document findings, reproduction steps, and remediation guidance in a way that engineering teams can act on. Support Threat Modeling - Participate in threat modeling sessions. Learn to identify trust boundaries, data flows, and attack surfaces in system designs. Monitor Security Tools - Help operate SAST , DAST , and dependency scanning tooling. Track findings, reduce noise, and support remediation workflows. Support Code Reviews - Review code for common vulnerability classes under guidance of senior specialists. Learn to identify security issues across PHP, Python, and Go codebases. Stay Current - Follow developments in the security community. Bring awareness of new vulnerability classes, CVEs, and attack techniques relevant to our stack. What You Bring Web Security Fundamentals - Solid understanding of common vulnerability classes: OWASP Top 10, CSRF , XSS , IDOR , SQL injection, open redirect, authentication and session management weaknesses. You understand root causes, not just names. Web and Browser Fundamentals - Solid understanding of how web applications work: HTTP request/response cycle, client-server model, REST APIs, how browsers handle same-origin policy, cookies and their attributes, and CORS . This is the foundation everything else builds on. Security Testing Tools - Hands-on experience with Burp Suite or similar web application security testing tools. You have used them to intercept, modify, and replay requests — not just run automated scans. Vulnerability Documentation - Able to reproduce a vulnerability and write it up clearly: reproduction steps, proof of concept, and impact statement. Findings that engineering teams cannot reproduce or understand do not get fixed. Secure Development Awareness - Familiarity with foundational secure coding concepts: input validation, output encoding, parameterized queries, and least privilege. Code Readability - Ability to read and follow code in at least one language relevant to web security - PHP, Python, JavaScript, or Go. You don't need to be a developer, but you need to follow logic and spot security-relevant patterns. Analytical Thinking - You reason through problems methodically. You can explain not just what a vulnerability is but why it exists, how it is exploited, and what fixing it actually requires. Clear Written Communication - You write findings and summaries that are precise, reproducible, and useful to the engineers who need to act on them. Curiosity and Initiative - You dig into problems rather than stopping at the surface. When something looks wrong, you investigate before concluding Nice to Have Participation in bug bounty programs or CTF competitions; Basic scripting ability for automation - Python or Bash; Familiarity with CI/CD pipelines and where security tooling fits; Exposure to cloud environments - GCP, AWS, or Azure; Relevant coursework or certifications - eWPT, CEH , PortSwigger Web Security Academy progress, or similar entry-level credentials. Xsolla operates across multiple time zones. Strong written communication is essential - you will need to document your work clearly so findings and context are not lost across handoffs. We value directness, intellectual honesty, and follow-through. If you do not know something, say so and find out. If you find something, explain it clearly and see it through to resolution.

Задачи: — Разработка и развитие AI-платформы для healthtech-продукта на рынке США — Проектирование архитектуры продукта: модульный монолит / микросервисы, event-driven архитектура — Работа с Go как основным backend-языком — Разработка и интеграция AI/ML-сервисов на Python / FastAPI — Интеграция LLM, AI-агентов, RAG и self-hosted inference в продуктовую систему — Работа с workflow orchestration через Temporal — Проектирование API и интеграций: REST, API Gateway, FHIR / HL7, gRPC — Работа с базами данных и инфраструктурой данных: PostgreSQL, pgvector, Redis, Neo4j / Amazon Neptune — Участие в построении облачной инфраструктуры на AWS — Настройка и развитие DevOps-процессов: Docker, Kubernetes, GitLab CI/CD, Terraform — Обеспечение наблюдаемости систем через Prometheus / Grafana, CloudWatch, OpenTelemetry — Участие в вопросах безопасности, авторизации и compliance: OAuth2 / OIDC, управление секретами, шифрование данных, HIPAA / SOC 2 — Hands-on разработка платформенной части, не только архитектурное проектирование Требования: — Сильный опыт системного дизайна: сервисы, API, интеграции, базы данных, распределённые системы и облачная инфраструктура — Опыт разработки на Go и готовность писать код — Понимание AI / LLM на архитектурном уровне — Понимание интеграции AI-агентов, RAG и инференса в продуктовые системы — Опыт проектирования отказоустойчивых и масштабируемых систем — Понимание принципов event-driven архитектуры и workflow orchestration — Самостоятельность, ownership и готовность работать в условиях неопределённости стартапа — Английский язык для чтения технической документации и взаимодействия с партнёрами из США — Высшее образование в области IT, системного анализа, прикладной математики или инженерии Будет плюсом: — Архитектурный опыт построения AI / LLM-систем: агенты, RAG, self-hosted inference, vLLM — Опыт использования Temporal или аналогичных систем оркестрации workflow — Понимание распределённых систем: масштабирование, согласованность, отказоустойчивость — Опыт работы с графовыми базами данных — Опыт работы в стартапах или в роли founding / lead engineer — Понимание требований безопасности и compliance: HIPAA, SOC 2 или аналогичные стандарты — Опыт работы с AWS Условия: — Официальное трудоустройство по ТК РК — Работа из офиса в Астане — После 7–8 месяцев возможен гибридный или удалённый формат — Зарплата: $3 000–$4 000 — Опционы / доля в компании обсуждаются отдельно — Работа в healthtech-стартапе для рынка США — Возможность влиять на архитектуру продукта и технические решения — Участие в создании AI-платформы с реальным impact для healthcare-сферы

Location: In-Office About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Bangalore About the team The Data Intelligence & Analytics  team at Cloudflare is responsible for building a centralized cloud data lake and an analytics platform that enables our internal Business Partners and Product teams with actionable insights and also provides a 360 view of our business. Our goal is to democratize data, support Cloudflare’s critical business needs, provide reporting and analytics via self-service data applications to fuel existing and new business critical initiatives. About the role We are looking for a Systems Engineer to join our Bangalore team to scale our development efforts on Platform Tooling initiatives. You will work on building data application tools and frameworks which empowers our Internal Teams. You  will work closely with the Data Engineers on the team to add new features and maintain our data pipelines written in Go. You can expect to interact with various languages and technologies including, but not limited to Go, React, and Clickhouse. What you'll do Design and implement key features of our internal applications Work closely with a cross functional team to design features and solutions that solve critical business problems Contribute in improving an evolving platform architecture for scalability, observability and reliability Continuously involved in knowledge sharing and mentorship Examples of desirable skills, knowledge and experience B.S. or M.S in Computer Science, Statistics, Mathematics, or other quantitative fields Experience working with Go, Python, Java, or equivalent programming languages Knowledge of SQL and common relational database systems such as PostgreSQL and MySQL Experience with CI/CD, Gitlab CI Excellent communication & problem solving skills Ability to collaborate with cross functional teams and work through ambiguous business requirements Bonus Points Familiarity with container based deployments such as Docker & Kubernetes Familiarity with Google Cloud Platform or something similar Familiarity with Javascript, Typescript, and React What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: Remote - United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Nebius is hiring a Forward Deployed Engineer to work alongside Physical AI customers, shape our core infrastructure products, and test ideas for what we should build next. You will work with enterprises, ISVs, and digital-native companies running training, simulation, synthetic data, evaluation, and model serving workloads. By understanding their systems and helping them reach production, you will uncover requirements that inform our Cloud, Serverless, and Token Factory teams. The goal is to connect needs across Physical AI industries with product decisions, including improvements that benefit enterprise customers more broadly. You will also investigate opportunities for new Nebius products. You will develop hypotheses about unmet needs, examine demand and existing alternatives, and build prototypes to test with customers. Your findings will help determine which opportunities deserve investment and what an initial product should deliver. The work is hands-on. You will write code, deploy and benchmark models, build agents, and troubleshoot infrastructure alongside customer engineers. The position is part of the Physical AI go-to-market team, with close collaboration across customers, NVIDIA, Product, and Engineering. What you will do Work with customer engineers to understand their workloads, infrastructure constraints, and production requirements. Translate Physical AI use cases into requirements that Cloud, Serverless, and Token Factory teams can use, backed by measurements and customer evidence. Identify enterprise adoption barriers and common needs across industries. Work with Product and Engineering to assess gaps and test improvements with customers. Build agents that set up, run, and debug Physical AI workloads, connecting them to clusters, schedulers, storage, and model servers. Deploy and benchmark open-weight models with serving stacks such as vLLM or SGLang, then tune them for customer workloads. Build prototypes and run technical evaluations to answer specific questions about performance, reliability, and product fit. Assess demand and existing alternatives for opportunities outside current product teams’ scope, then build where there is a clear market. Debug across Python, agents, model servers, Kubernetes, GPUs, networking, and storage. Turn successful setups into reusable scripts, deployments, and short guides. What we are looking for Three or more years in software engineering, cloud infrastructure, DevOps, ML infrastructure, or similar, including ownership of a production service, cluster, or platform. Experience working directly with customers or external engineers to scope problems, run evaluations, and explain technical tradeoffs. Ability to turn an unfamiliar customer problem into concrete infrastructure requirements. Practical experience building with LLMs or agents, at work or independently, with an understanding of their internals (e.g., transformers, KV caching, or tool calling) and how to evaluate their outputs. Familiarity with enterprise infrastructure requirements, including identity and access management, network isolation, security, monitoring, and reliability. Strong Python and Linux skills: you can read unfamiliar code, automate a setup, and debug from logs and metrics. Practical experience with containers and Kubernetes, including configuration, networking, storage, and scheduling. A record of getting useful software working with incomplete requirements, measuring results, and following through with the people using it. Helpful experience Enterprise customer engineering, solutions architecture, consulting, or taking a new product from an initial customer problem to adoption. Distributed compute such as Ray, Slurm, Spark, or multi-GPU jobs. NVIDIA GPU workloads, including memory management, drivers, CUDA, NCCL, and monitoring. Model serving with vLLM, SGLang, TensorRT-LLM, or TGI. Robotics, simulation, synthetic data, reinforcement learning, world models, or tools such as Isaac Sim, Isaac Lab, Omniverse, and Cosmos. Infrastructure automation and enterprise integrations, including Terraform, CI/CD, private connectivity, and identity federation. Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $179,500 — $224,300 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Задачи: — Проектировать и разрабатывать ETL/ELT пайплайны по цепочке Source → ODS → DDS → витрины данных. — Строить витрины и схемы под аналитику и отчётность; оптимизировать SQL (индексы, партиционирование, предикативный pushdown). — Настраивать доступ к данным через федеративные SQL-движки, REST/JSON API, батч- и файловые выгрузки, асинхронную обработку тяжёлых выборок. — Вести пайплайны в Airflow с инкрементальной загрузкой, идемпотентностью и контролем качества данных (DQ). — Вести каталог данных, глоссарий и data lineage; следить за согласованностью источников. — Доводить задачи до прода в GitOps-флоу (GitLab CI + ArgoCD), контейнеризация (Docker / K8s). Требования: — Уверенный Python и очень уверенный SQL (оконные функции, оптимизация запросов). — Опыт построения ETL/ELT-пайплайнов и оркестрации (Airflow или аналог). — Понимание моделирования данных и хранилищ (DWH / DataMart, слои ODS/DDS, нормализация, партиционирование). — Опыт с реляционными и аналитическими СУБД (PostgreSQL; плюсом — Vertica / Trino / ClickHouse). — Понимание Git, CI/CD и контейнеризации (Docker), базовое понимание Kubernetes. — Внимание к качеству данных, идемпотентности и инкрементальной загрузке. — Интерес к финансовому домену: транзакции, отчётность, регуляторные данные, справочники. Плюсом будет: — Федеративные движки (Trino / Presto), каталоги данных и data lineage (OpenMetadata / DataHub). GitOps (ArgoCD), стриминг (Kafka), dbt, IaC. — Опыт с финансовыми и регуляторными данными, витринами для отчётности, безопасностью данных. — Базовое понимание LLM/RAG (эмбеддинги, retrieval) — как смежное направление команды. Условия: — Работа с современным data-стеком в финансовом домене национального масштаба. — Менторство и турбо-рост в команде, которая катает продукты в прод каждый месяц. — ДМС для вас и членов семьи. — Оплачиваемый отпуск и 100% официальное оформление.

Location: Tel Aviv-Yafo, Tel Aviv District, Israel About Aidoc Aidoc is the market leader in healthcare AI and has developed the world's largest clinical frontier model, supporting nearly 50 million patients each year. Aidoc is deployed in more than 2,000 medical centers worldwide. Since our founding in 2016, Aidoc has raised over $500 million and achieved a record number of FDA-cleared solutions. Medical diagnosis is hitting a breaking point, where the number of physicians hasn't kept up with the rapidly growing patient load. This leads to misdiagnosis and treatment delays that result in hundreds of thousands of deaths every year. Aidoc assists clinicians by precisely highlighting diseases directly on medical images, preventing misdiagnosis and ensuring that urgent patients receive the immediate attention they need. About this role As a SecOps Engineer, you will help protect Aidoc’s cloud environments, products, corporate systems, and sensitive healthcare data by investigating SIEM alerts, supporting incident response, and improving the quality of security monitoring and operations. This is a hands-on security operations role for someone who can analyze security signals, understand real risk, communicate clearly, and help the organization detect, investigate, and respond quickly and effectively to security events. You will work closely with real production environments, where accurate investigation, clear documentation, and practical escalation are critical to protecting sensitive healthcare data, customer trust, and the reliability of Aidoc’s clinical AI platform. Responsibilities Own the end-to-end investigation of SIEM alerts across cloud, product, identity, endpoint, and SaaS environments: analyze the relevant evidence, separate false positives from real threats, and prioritize cases based on risk and impact. Escalate high-risk findings with a clear summary of what happened, what is affected, why it matters, and what actions are required. Support incident response by collecting evidence, assisting with containment, tracking remediation, and maintaining clear investigation records for internal reviews, compliance needs, and post-incident learning. Improve SIEM rules, dashboards, alert logic, playbooks, telemetry coverage, and detection quality to reduce noise and strengthen security monitoring. Work with Security, IT, DevOps, R&D, Product Security, and Compliance teams to resolve issues and improve security operations. Requirements 2+ years of experience in Security Operations, SOC analysis, detection and response, incident response, cloud security operations, or a similar hands-on security role. Hands-on experience with SIEM-based investigations, including alert triage, log analysis, event correlation, evidence review, case prioritization, and escalation. Experience working with security telemetry from cloud platforms, identity providers, endpoints, SaaS systems, network tools, application logs, and production environments. Familiarity with cloud-native environments, including IAM, storage access, workloads, Kubernetes, containers, APIs, logging, monitoring, and CI/CD pipelines. Understanding of common attack techniques, including credential compromise, phishing, privilege escalation, suspicious API activity, malware, data exposure, lateral movement, and cloud misconfigurations. Experience with identity and endpoint investigation, including SSO, MFA, service accounts, privileged access, EDR alerts, and suspicious user or device activity. Ability to use query or scripting languages such as KQL, SPL, SQL, Python, Bash, or similar. Familiarity with incident response workflows, case management, evidence collection, remediation tracking, and post-incident review. Strong analytical judgment, with the ability to separate false positives from real risk and explain findings clearly. Ability to work independently, document investigations clearly, and escalate issues with the right level of urgency. Strong communication skills and the ability to work with Security, IT, DevOps, R&D, Product Security, Compliance, and business stakeholders. Close attention to detail, strong ownership, and comfort working in a fast-moving production environment. Additional Strengths Experience in healthcare, healthtech, medical devices, digital health, or regulated software environments. Familiarity with HIPAA, GDPR, SOC 2, ISO 27001, NIST CSF, or similar security and privacy frameworks. Familiarity with MITRE ATT&CK, detection logic, attacker behavior, and investigation playbooks. Experience with threat hunting, detection engineering, malware analysis, forensics, or advanced incident response. Experience with SOAR platforms, case management systems, threat intelligence feeds, detection-as-code, or SOC automation. Experience improving SOC metrics such as alert noise, false-positive rate, time to triage, time to escalation, and investigation quality. Experience working with sensitive data, PHI/PII, customer-facing environments, or audit-ready evidence collection. Working at Aidoc Our Perks: Be part of something big - using cutting-edge technologies to transform the Healthcare industry (while saving patients’ lives) We work in a hybrid model, with our new offices located at 34 HaMasger Street in Tel Aviv and parking for employees. Amazing and healthy breakfasts and lunches prepared daily by our personal chef! Stocked up kitchen & meal card Wellness: Aidoc employees-only gym, plus Pilates, Yoga, and functional workouts classes. Amazing culture - collaborative, transparent & fun! Attractive compensation package & benefits Aidoc is deeply committed to creating an inclusive workplace, and to the principle of equal opportunity for all individuals. We prohibit discrimination and harassment based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by law.

Location: Tel Aviv-Yafo, Tel Aviv District, Israel About Aidoc Aidoc is the market leader in healthcare AI and has developed the world's largest clinical frontier model, supporting nearly 50 million patients each year. Aidoc is deployed in more than 2,000 medical centers worldwide. Since our founding in 2016, Aidoc has raised over $500 million and achieved a record number of FDA-cleared solutions. Medical diagnosis is hitting a breaking point, where the number of physicians hasn't kept up with the rapidly growing patient load. This leads to misdiagnosis and treatment delays that result in hundreds of thousands of deaths every year. Aidoc assists clinicians by precisely highlighting diseases directly on medical images, preventing misdiagnosis and ensuring that urgent patients receive the immediate attention they need. About this role As a Senior Product Security Engineer, you will help ensure that security is built into the products, platforms, AI systems, and clinical workflows that support healthcare providers and patients at scale. This is a hands-on technical role focused on securing real systems in production, influencing architecture, and partnering closely with engineering, AI, DevOps, product, quality and regulatory. You will work across cloud-native services, medical imaging workflows, healthcare integrations, AI/ML pipelines, APIs, data flows, and regulated product development processes. Your work will directly support Aidoc's ability to deliver secure, reliable, and trusted clinical AI solutions to healthcare organizations worldwide. What Makes This Role Unique at Aidoc Clinical AI with real-world patient impact - Aidoc operates in an environment where security is not only about protecting systems and data. Security decisions can affect clinical workflows, care-team coordination, customer trust, and patient safety. Highly sensitive healthcare data - You will help protect medical imaging data, clinical metadata, PHI/PII, customer environments, and AI-driven workflows that require strong privacy, access control, data protection, and auditability. Security for AI/ML and medical imaging systems - The role extends beyond traditional AppSec into AI/ML security, data pipeline protection, inference integrity, model-related risks, and misuse scenarios in clinical workflows. Complex healthcare integrations - Aidoc integrates with hospital systems and healthcare workflows that may include PACS, EHR, VNA, RIS/worklists, scheduling systems, and communication platforms. You will help secure the data flows, authentication models, APIs, and deployment patterns behind these integrations. Engineering-driven security in a regulated environment - This is not a checkbox compliance role. However, because Aidoc operates in healthcare and clinical AI, security must be practical, evidence-based, and aligned with regulatory, customer, and quality expectations. Cloud-native scale and production ownership - You will work with modern cloud infrastructure, Kubernetes, containers, CI/CD pipelines, identity and access management, observability, vulnerability management, and software supply-chain controls. Responsibilities Secure product and clinical workflows end-to-end - Work directly with engineering and product teams to identify, prioritize, and remediate security risks across services, APIs, medical imaging workflows, AI outputs, data flows, and customer-facing product features. Drive secure-by-design architecture - Provide practical security guidance on authentication, authorization, tenant/customer isolation, encryption, secrets management, service-to-service communication, audit logging, and secure data handling. Strengthen cloud-native security - Improve security across cloud environments, Kubernetes, containers, IAM, network segmentation, workload identity, infrastructure-as-code, logging, monitoring, and cloud security posture management. Embed security into the development lifecycle - Integrate, tune, and operationalize security tooling across CI/CD pipelines, including SAST, SCA, IaC scanning, container scanning, secrets detection and build/release integrity controls. Own vulnerability management as an engineering system - Prioritize vulnerabilities based on exploitability, product exposure, customer impact, clinical risk, and regulatory relevance. Drive remediation with engineering teams and reduce recurring issues through root-cause improvements. Secure AI/ML-driven features and data pipelines - Partner with AI, data, and platform teams to identify risks related to training and inference data, model inputs and outputs, model misuse, data leakage, access to sensitive datasets, pipeline integrity, and production monitoring. Improve software supply-chain security - Reduce risk across open-source dependencies, third-party components, third-party algorithms, container images, build systems, artifact repositories, release pipelines, and deployment processes. Mentor and enable engineers - Help developers understand security risks, make secure design decisions, and take ownership of security in their code, services, and infrastructure. Communicate risk clearly - Translate technical security findings into clear risk, impact, and trade-off language for engineering, product, leadership, quality, regulatory, and customer-facing stakeholders. Requirements 5+ years of experience in Product Security, Application Security, Cloud Security, or a similar hands-on security engineering role. Strong hands-on experience securing production systems, not only performing assessments or reviews. Strong understanding of secure design, threat modeling, and architecture risk analysis. Deep knowledge of application security, including OWASP Top 10, API security, authentication, authorization, access control, secure session handling, input validation, and modern attack vectors. Experience securing distributed systems, APIs, web applications, backend services, and cloud-native architectures. Strong experience with cloud environments, especially AWS and/or Azure, including IAM, network security, encryption, logging, monitoring, and workload security. Experience with Kubernetes, containers, infrastructure-as-code, CI/CD pipelines, and modern DevOps workflows. Practical experience with security tooling such as SAST, SCA, IaC scanning, container scanning, secrets detection, SBOM tools, vulnerability scanners, and cloud security tools. Experience with vulnerability management, risk prioritization, remediation planning, and working with engineering teams to fix issues at scale. Strong understanding of software supply-chain security, including dependency risk, build/release integrity, artifact security, and third-party component governance. Experience working with modern development stacks such as Python, Java, JavaScript/TypeScript, React, microservices, APIs, and cloud-native services. Ability to influence engineers through technical credibility, practical guidance, and strong collaboration. Strong communication skills and the ability to explain security risks to technical and non-technical stakeholders. Working at Aidoc Our Perks: Be part of something big - using cutting-edge technologies to transform the Healthcare industry (while saving patients’ lives) We work in a hybrid model, with our new offices located at 34 HaMasger Street in Tel Aviv and parking for employees. Amazing and healthy breakfasts and lunches prepared daily by our personal chef! Stocked up kitchen & meal card Wellness: Aidoc employees-only gym, plus Pilates, Yoga, and functional workouts classes. Amazing culture - collaborative, transparent & fun! Attractive compensation package & benefits Aidoc is deeply committed to creating an inclusive workplace, and to the principle of equal opportunity for all individuals. We prohibit discrimination and harassment based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by law.

Location: Berlin, Germany Workplace: remote ABOUT YOU We are looking for an Operations Engineer who is technically curious, detail-oriented, a strong communicator, and proactive to join our Global Technical Operations (GTO) team. The best candidate will be someone who thrives in a fast-paced, highly collaborative, and exceptionally dynamic setting and is excited to monitor and investigate production issues across a global platform, help improve how we detect and respond to incidents, analyze trends and patterns in production data, and contribute to better communication with partners and stakeholders during incidents. Strong troubleshooting skills, observability platform experience, and scripting ability are essential, along with experience in SRE, DevOps, production operations, or NOC environments supporting high-availability platforms in the gaming industry. The ability to communicate clearly and effectively in English — both written and verbal — when writing incident updates, shift handoffs, and status page communications will be key to your success in this role. If you’re passionate about keeping critical systems running and continuously improving operational processes and love being the first to spot issues and the one who drives them to resolution for game developers and players worldwide, we would love to hear from you!   ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. Responsibilities: Serve as the primary dashboard monitor during your shift — continuously watch the GTO Operational Dashboard in Datadog, detect anomalies by correlating signals across APM, logs, metrics, synthetic tests, and Real User Monitoring, and determine whether alerts warrant an incident ticket or can be resolved through immediate investigation. Triage and investigate production incidents — create incident tickets in JIRA Service Management, perform initial technical investigation using Datadog (traces, logs, infrastructure and application metrics), determine blast radius and likely root cause domain, and route to the correct team (Product SRE, Infrastructure SRE, or Engineering) using the smart routing model. Own lower-severity incidents end-to-end from detection through resolution — diagnose, execute runbook procedures, and resolve without escalation where possible. Escalate promptly when an incident is unresolved within defined thresholds or requires a code-level fix. Support the TSO Lead during major incidents as the technical right hand in the war room — surface real-time data (error rates, impact scope, deployment history, related alerts), maintain the incident ticket with live timeline entries and linked evidence, and execute mitigation actions as directed. Draft incident communications under TSO Lead direction, including internal Slack updates, stakeholder notifications, and customer-facing status page updates (status.xsolla.com). Support clear, timely communication throughout the incident lifecycle. During non-incident periods, analyze incident trends, recurring issues, and production bugs — compile data from Datadog, JIRA, and Slack, identify patterns, and contribute findings to regular reports for product and engineering teams. Compile incident timelines and draft initial PIR documents for Post-Incident Review preparation. Track PIR action items post-session and flag overdue items to the TSO Lead. Build and maintain operational automation (alert enrichment scripts, incident templates, Slack workflows, dashboard widgets) and contribute to runbook development — documenting new resolution procedures so they can be repeated by any Operations Engineer on any shift. Conduct structured shift handoffs covering active incidents, at-risk services, upcoming deployments, and follow-up items. Participate in knowledge transfer sessions with SREs to continuously expand independent resolution capability. Cover for the TSO Lead during vacations, absences, or emergencies — including severity classification, escalation decisions, stakeholder communications, and basic Incident Commander functions. Publish health reports of critical apps periodically. Qualifications: Previous experience working at a gaming company is required — you understand the pace, player expectations, live operations dynamics, and the operational demands of the gaming industry. 4+ years of experience in SRE, DevOps, production operations, NOC, or technical operations in a high-availability environment. Strong troubleshooting and investigation skills — ability to take an alert or user-reported symptom and methodically trace it through the stack: application logs, APM traces, infrastructure metrics, database queries, and network paths. Hands-on experience with Datadog (or equivalent observability platform: Grafana, Splunk, New Relic, Elastic) — navigating APM, building log queries, reading infrastructure dashboards, interpreting SLO burn rates, and configuring monitors and alerts. Proficiency in at least one scripting language: Python, Go, or Bash. You will write automation scripts, build operational tooling, and work with APIs. Clear written and verbal communication skills in English — ability to write incident tickets, investigation notes, Slack updates, shift handoff reports, status page communications, and PIR drafts that are clear, concise, and useful to both technical and non-technical audiences. Working knowledge of Kubernetes and cloud infrastructure (GCP preferred, AWS/Azure acceptable) — understanding of pods, deployments, services, ingress, node health, and how to investigate Kubernetes-related production issues. Understanding of SLOs, error budgets, and burn-rate alerting — knowing what a multi-window burn-rate alert means, how error budgets deplete, and how SLO breaches translate into incident severity. Experience with incident management tooling: JIRA or JIRA Service Management, PagerDuty or OpsGenie, Slack, and Confluence. Experience with or strong interest in AI/ML-assisted operations: anomaly detection, alert correlation, predictive monitoring, or automated remediation. Comfort with 24x7 shift-based operations as part of a follow-the-sun model with handoff overlaps. Weekend on-call (rotating) is required. Nice to Have: Familiarity with Datadog Service Catalog, synthetic monitoring, and RUM (Real User Monitoring). Experience with distributed systems debugging: tracing failures across microservices, understanding cascading failures, and reading distributed traces end-to-end. Exposure to database operations (MySQL, PostgreSQL, Redis, Kafka) at a level sufficient to investigate connection pool exhaustion, replication lag, slow queries, or queue backlogs during incidents. Familiarity with CI/CD pipelines and deployment tooling (GitLab CI, ArgoCD, Helm) — enough to correlate recent deployments with production issues and identify rollback targets. JIRA Service Management administration experience: workflows, automation rules, SLA timers, and queues. ITIL Foundation certification is a plus but not required — practical experience matters more. Benefits We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees through a comprehensive Benefits Program. This includes unlimited Flexible Time Off, Gym membership, monthly train ticket and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play. The duties and responsibilities of this position may evolve over time to support the organization’s goals and individual growth. This job description is intended to outline the general nature and level of work being performed and is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required. By submitting your application, you consent to Xsolla conducting background checks, where permitted by law, after the final interview stage. All checks will comply with local regulations, and your information will be handled confidentially. Xsolla takes your privacy seriously and will not sell or externally distribute any personal data received during the hiring process. In accordance with applicable data protection laws, Xsolla is committed to protecting your personal information and respecting your privacy. For any inquiries related to data privacy, please contact: careers@xsolla.com Explore more opportunities at: https://xsolla.com/careers

Location: Costa Mesa, United States WHAT YOU’LL DO Architect and implement UVM verification environments (drivers, monitors, predictors, scoreboards) for AMD (Xilinx) FPGA/SoC designs Develop verification plans with traceability to system and hardware requirements Author SystemVerilog Assertions (SVA) for protocol compliance and design intent checks Build functional coverage models and drive code coverage analysis to closure Develop constrained-random and transaction-level test sequences to maximize coverage and uncover corner-case bugs Establish and maintain regression suites, tracking coverage metrics and verification progress Debug failures using waveform tools and simulation logs at the HDL and system level Collaborate with design engineers on RTL reviews, bug resolution, and micro-architecture refinement Support hardware validation and board bring-up on target platforms Ensure verification meets DO-254 and relevant safety standards Author verification closure reports and coverage analysis summaries REQUIRED QUALIFICATIONS Bachelor’s degree in Electrical Engineering, Computer Engineering, or related field 2+ years of experience in FPGA/ASIC verification Proficient in SystemVerilog, UVM methodology and SVA, with experience contributing to and extending UVM testbenches Object-oriented programming principles Industry simulators (Questa, VCS, Xcelium, or Vivado) Git-based collaborative workflows including code review Linux development environments Strong communication and teamwork skills Eligible to obtain and hold a U.S. Secret security clearance PREFERRED QUALIFICATIONS 5+ years of experience in FPGA/ASIC verification Master’s degree in Electrical Engineering, Computer Engineering, or related field DO-254, avionics verification standards for UAS, and safety-critical verification processes SVUnit or equivalent unit-testing frameworks Formal verification or CDC verification tools Digital interfaces: Ethernet, PCIe, JESD204C, MIL-STD-1553, SPI Verification automation scripting (Python, Tcl, Makefile) SoC and ARM-based embedded platforms Verification automation, CI/CD integration, and Nix-based build environments

Задачи: — Проектировать и развивать масштабируемый бэкенд для мобильного приложения. — Реализовывать real-time коммуникации и геолокационные сервисы. — Оптимизировать API для плавного и быстрого UX на мобильных устройствах. — Принимать ключевые решения по стек-технологиям, инфраструктуре и процессам. — Настраивать CI/CD, тестировать и разворачивать код без боли. — Плотно работать в связке с мобильными разработчиками. Требования: — 5+ лет опыта в бэкенд-разработке (идеально — в highload/B2C мобильных приложениях). — Сильный Java, понимание масштабируемых архитектур. — Опыт работы с RESTful и WebSocket API. — Отличное знание баз данных (PostgreSQL и гео-инструментов вроде PostGIS). — Опыт с облаками (AWS / GCP / Azure) и Docker. — Понимание безопасности: OWASP Top 10, GDPR/HIPAA. — Английский от Upper-Intermediate (русский язык будет плюсом). Будет плюсом: — Сертификаты Java Oracle (OCA/OCP/OCM). — Участие в Open Source. Условия: — Влияние на продукт: решения определят архитектуру глобального сервиса. — Локация на выбор: гибрид в солнечной Лимасоле (Кипр) или удаленка из любой точки мира. — Конкурентная зарплата и быстрый карьерный рост.