Вакансии

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: Global - Remote About the role Mission: Emulate the full kill chain of the real-world adversaries that target our business. As our Red Team Expert, you plan and execute full-scope, objective-driven operations from external initial access through phishing, C2, lateral movement, privilege escalation, and Active Directory domain compromise, all the way to actions on objective against our most critical assets. You operate covertly against a mature, monitored environment, defeat modern EDR/XDR and detection controls, and prove exactly how far a determined attacker could get. You then turn every operation into concrete detection engineering wins and defensive improvements alongside our Blue Team. What you'll be doing Scope, plan, and execute full-scope red team engagements and long-horizon adversary emulation campaigns mapped to real threat-actor TTPs and the MITRE ATT&CK framework. Execute the complete attack chain: OSINT and reconnaissance, initial access (phishing, payload delivery, public-facing exploitation), establishing and operating covert C2, persistence, privilege escalation, lateral movement, and domain/cloud takeover. Develop and deploy custom tooling, payloads, and C2 infrastructure; build and maintain resilient, OPSEC-safe redirector and command-and-control environments. Research and weaponize EDR/XDR evasion and bypass techniques — in-memory execution, process injection, AMSI/ETW tampering, and defense-evasion tradecraft — against CrowdStrike, SentinelOne, and Microsoft Defender XDR. Compromise Active Directory and hybrid/cloud identity: Kerberos attacks, ACL and delegation abuse, ADCS exploitation, and lateral movement across on-prem and cloud infrastructure (AWS). Run assumed-breach, insider-threat, and social-engineering scenarios, including physical and office-network intrusion paths where in scope. Work directly with the Blue Team to replay attack chains, validate and tune detections, and measurably close detection and response gaps. Document full attack narratives, kill-chain diagrams, and reproducible proof-of-concept steps that let defenders rebuild and detect every stage. Translate operational findings into prioritized, actionable remediation and detection-engineering guidance for IT, Network, and Security teams. Track operational metrics: objectives achieved, detection and response times, dwell time, evasion success rates, and remediation follow-through. Contribute to maturing Sporty's red team capability and threat-informed defense, sharing tradecraft with internal offensive and defensive staff. What you'll bring Experience (required) 5+ years of hands-on experience in offensive security, perimeter penetration testing, network security assessments, red teaming, or adversary emulation. Strong understanding of external asset discovery, DNS configuration vulnerabilities, and public IP network routing. Practical experience auditing and testing Linux and Windows environments and underlying network services. Proven ability to perform adversary emulation and bypass techniques against modern EDR/XDR solutions. Familiarity with testing physical office network hardware, routers, switches, firewalls, and workplace IT systems. Ability to turn external exposures and technical network risks into clear, actionable fixes for IT and Security teams. Experience with core web vulnerabilities and limited, scoped testing of modern API interfaces. Strong scripting ability in Python, PowerShell, Bash, or similar to automate perimeter mapping, emulation workflows, and asset discovery. Good understanding of scanning, reconnaissance, and interception tools. Strong documentation skills. Certifications (one or more required) OffSec: OSCP / OSCP+, OSEP, OSWE, OSED, OSCE3 (or legacy OSCE) , OSWA, OSMR, OSEE Hack The Box: CPTS , CBBH, CWEE, CAPE Red Team / Active Directory: CRTO, CRTL (Zero-Point Security); CRTP, CRTE, CRTM (Altered Security) GIAC: GPEN, GXPN, GWAPT, GRTP, GCPN Other recognized: PNPT (TCM Security), eCPPT / eWPTX / eMAPT (INE), BSCP (PortSwigger), CREST CRT / CCT, CPTE Community and competitive track record Bug bounty recognition: bounty awards, hall-of-fame listings, or published CVEs through HackerOne, Bugcrowd, Intigriti, YesWeHack, or vendor-run programs. CTF achievements: active player on a ranked CTFtime team, Hack The Box Hall of Fame or Pro Lab completions, or finalist/podium placements in recognized competitions (DEF CON CTF, Google CTF, HTB Business CTF, SANS Holiday Hack, and similar). What’s in it for you Sporty is a remote first company in pursuit of sustainability A competitive salary + individual performance based bonuses every quarter 28 days paid annual leave Our core working hours are 10am-3pm in your local time zone with flexibility outside of this Referral bonuses & flash bonuses Top of the line equipment Annual company retreats to provide great internal networking opportunities Interview process Remote video screening with our Talent Acquisition Team Offline Take home assignment Remote video interview with Team Members (60 Mins) Final discussion with the hiring manager (60 mins) If you're interested, we encourage you to apply! Every application is reviewed by a member of our team (AI is not used in our recruitment process), and we aim to respond within 48 hours. We are committed to maintaining a fair, secure and authentic recruitment process. Applications submitted using false, misleading or fraudulent information, including impersonated or fake profiles, will not be considered. Where reasonably necessary to protect the integrity and security of our recruitment process, we may verify a candidate’s identity and/or the accuracy of information provided during the recruitment process. Any such checks will be carried out in a proportionate and appropriate manner and in accordance with applicable data protection and employment laws.

Location: Los Angeles, USA Riot’s Enterprise Technology organization ensures Rioters have what they need to unlock their full potential, from efficient business platforms to next-generation AI capabilities. As a Staff Data and AI Engineer on the Enterprise Data & AI team, you will operate at the intersection of data engineering, data architecture, and AI solutions for Riot Enterprise. You will be instrumental in designing and building the enterprise data warehouse, developing scalable data integrations (connecting platforms like OneStream, Oracle, Workday, and Databricks), and delivering critical Enterprise agentic analytics and AI services. The ideal candidate blends hands-on technical expertise with a strategic, platform-oriented mindset. You will be responsible for creating robust technical solutions, including scalable data pipelines, comprehensive data warehouse models, and AI enabled workflow and process automations. This work involves close collaboration with Enterprise leaders, architects, and system owners, and data specialists to translate corporate strategic and operations business requirements into secure, high-value, and maintainable solutions. The role will report to the Senior Manager, Enterprise Data and AI. Responsibilities: Partner with stakeholders across Finance, HR, Legal, IT, and Operations to understand business workflows, clarify requirements, and translate them into technical designs, with an immediate focus on process automation, conversational agents, and data integrations for key corporate systems. Design, build, and maintain the data and platform components of Riot’s Enterprise AI ecosystem, contributing to reference architectures for RAG/agents (indexing, vector stores, caching) and orchestration frameworks. Contribute to conceptual and logical data models for enterprise domains and help connect those models to business capabilities, processes, and downstream applications. Design, build, and maintain data pipelines, transformations, integrations, and warehouse-oriented data products across enterprise platforms and data systems. Support reporting, analytics, and application capabilities by helping shape reliable data foundations and implementation patterns. Required Qualifications: Bachelor’s degree in Computer Engineering, Computer Science, Information Systems, or related field (or equivalent experience delivering enterprise technology solutions). 8+ years of experience in enterprise applications, data engineering, or platform engineering spaces, including delivery of data and automation solutions at scale. Experience delivering AI (traditional or generative) or advanced agentic automation solutions at scale. Strong technical knowledge of orchestration platforms (Workato, n8n, Camunda) and AI platforms (e.g., Google Vertex/Agent Platform, Anthropic Claude Platform, OpenAI Platform) and their enterprise applications, including Retrieval-Augmented Generation (RAG), as well as knowledge management, data governance, quality, and architecture in enterprise contexts. Hands-on experience building or supporting data pipelines and integrations across enterprise applications, APIs, middleware, and data platforms. Required hands-on experience with Databricks for developing, transforming, and operationalizing data workflows or warehouse-oriented solutions. Strong familiarity with data transformation and data warehousing methodologies, including dimensional modeling and medallion architecture patterns. Strong technical knowledge of enterprise platforms (e.g., Workday, ServiceNow, Coupa, Concur, Oracle, IronClad) and respective integration options. Desired Qualifications: Experience supporting master data, reporting, analytics, or business intelligence use cases. Strong hands-on experience with Workato, including implementing agentic workflows and AI-powered operational analytics and automations. Familiarity with frameworks for agent development (e.g., LangChain, Pydantic AI) and orchestration platforms (e.g., LangGraph, CrewAI, Vertex AI Agent Builder, Microsoft AutoGen, or similar). Experience building or integrating enterprise knowledge search platforms (e.g., federated search, vector DBs, retrieval-augmented generation) for enterprise use cases. Experience with cloud data and application technologies such as AWS data services, dbt, or event-driven integration patterns. Experience leading change in complex organizations and mentoring teammates or helping less technical partners adopt better data and systems practices. For this role, you'll find success through craft expertise, a collaborative spirit, and choices that focus on your fellow Rioters, who are the customers of your work. Being a dedicated fan of games is not necessary for this position! Our Perks: Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information. At Riot Games, we put players first . That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application. It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act. Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories: Safeguarding confidential and sensitive Company data Communication with others, including Rioters and third parties such as vendors, and/or players, including minors Accessing Company assets, secure digital systems, and networks Ensuring a safe interactive environment for players and other Rioters These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.

Location: United States POWER A WORLD OF TRUST Incode is the leading provider of world-class identity solutions that is reinventing the way humans authenticate and verify their identities online to power a world of digital trust. Through our revolutionary identity solutions, we are unleashing the business potential of universal industries including finance, government, retail, hospitality, gaming, and more, by reducing fraud and transforming human interactions with data, products, and services. We’re in the process of rapidly scaling our diverse global team and we’re looking for entrepreneurial individuals and leaders who are curious, driven, and excited by ownership to join a Unicorn-status scale-up! About Incode Incode is a Series B unicorn ($2.2B) rewriting how the world proves identity. Our AI-powered platform lets leading banks, fintechs, marketplaces, and governments deliver friction-free experiences while defeating fraud and safeguarding privacy. Customers such as Citi, AirBnB, Block, Chime, Sixt, and TikTok rely on Incode to power their identity verification and security. Recently named a leader in the Gartner® Magic Quadrant™ for Identity Verification, we’re scaling fast—and we need a product-marketing leader who can turn breakthrough technology into a category-defining narrative. The Impact You’ll Make As a Senior Technical Account Manager at Incode, you own the end-to-end technical relationship for a portfolio of strategic accounts. You're not an escalation path, you're a proactive technical partner embedded in the customer's world, translating complex integration challenges into delivery plans, keeping production environments healthy, and making sure Incode's products work the way they were designed to. The Incode TAM role spans more ground than most: you'll operate as a solutions engineer, escalation point, implementation consultant, technical project manager, and trusted advisor depending on the day. The people who thrive here are comfortable with that range. They're resourceful, autonomous, technically deep, and genuinely motivated by customer outcomes. What You’ll Own & Drive Technical Relationship • Serve as the primary technical point of contact for one or more strategic accounts across financial services, telecom, healthcare, and enterprise verticals • Build trusted relationships with customer engineering teams, architects, and platform owners. Be present and credible in technical conversations at every level • Maintain deep familiarity with each account's integration architecture, production environment, and technical roadmap Implementation & Integration • Lead and project manage technical onboarding for new use case and new product deployments • Provide hands on guidance on Web and Mobile SDK integration, REST/webhook architectures, and backend configuration patterns • Review integration designs, identify risks, and recommend architectural adjustments before they become production problems Production Health & Incident Response • Monitor account health, proactively identify degradation risks, and drive resolution before customers feel it • Lead technical bridges during incidents: coordinate internal engineering, communicate clearly with customer stakeholders, and drive postincident reviews • Own change and release management for your accounts: coordinate upgrade windows, test plans, and rollback procedures Customer Advocacy & Internal Coordination • Translate customer pain into actionable product feedback, synthesize patterns across accounts and bring them to Product and Engineering with clarity and data • Pull the right internal resources (Product, Engineering, Support) behind the scenes so customers experience a unified Incode team • Collaborate closely with your aligned Account Director on account strategy, health, and expansion opportunities GenAI & Continuous Improvement • Actively build and share AI assisted workflows that reduce repetitive work, accelerate customer onboarding, and improve documentation quality • Contribute to the TAM team's shared knowledge base, playbooks, runbooks, and integration guides that make the whole team better The Qualities That Set You Apart Proven Multi-Account Manager – You manage multiple complex accounts simultaneously without dropping threads. Clear Communicator – You can explain a technical problem to a CISO and an integration error to a backend engineer in the same conversation. Autonomous Operator – You don't wait to be told what to do — you're experienced operating in ambiguous environments with minimal guidance. Proactive Problem Solver – You have a track record of identifying and resolving issues before they escalate. Your Background Technical Depth – Required • 3+ years in a technical customer facing role: TAM, Solutions Engineer, Implementation Consultant, Customer Success Engineer, or equivalent • Strong working knowledge of REST APIs, webhooks, and async integration patterns | you can review an API design and spot problems • Hands on experience with Web and/or Mobile SDK integration (iOS, Android, JavaScript/TypeScript) • Proficiency with SQL for log analysis, troubleshooting, and operational reporting • Ability to build and interpret data analysis and reporting artifacts, usage trends, account health metrics, SLA tracking, and operational dashboards that inform both customer conversations and internal decisions • Comfort with cloud infrastructure fundamentals (AWS preferred), you don't need to be a DevOps engineer, but you need to understand deployment models • Scripting ability (Python, Bash, or equivalent), you automate your own repetitive work • Proven ability to manage multiple complex accounts simultaneously without dropping • Strong written and verbal communication, you can explain a technical problem to a CISO and an integration error to a backend engineer in the same conversation threads • Experience operating autonomously in ambiguous environments, you don't wait to be told what to do • Track record of proactively identifying and resolving issues before they escalate Bonus • Experience with identity verification, fraud prevention, or biometric authentication • Familiarity with compliance frameworks relevant to enterprise customers (SOC2, PCI, GDPR/CCPA) • Prior experience at a high growth SaaS or fintech company Why Incode? Mission with Meaning – Shape how billions of people prove identity—safely, simply, and ethically. Rocket-Ship Growth – Join at an inflection point where your strategies will compound in value for years. Elite Team & Backing – Work a truly global with top engineers, designers, and investors who share your ambition to dominate a category. Ownership & Autonomy – Operate like a founder with the resources of a unicorn. Global Impact – Every program you launch will reverberate across industries and continents. Ready to ignite the future of trust? Lead the narrative. Empower the field. Join Incode and turn innovation into unstoppable market momentum. Aspects of our Culture: High performance Freedom & responsibility Context, not control Highly aligned, loosely coupled Continuous Feedback Promotions & Development Learn more about Life at Incode ! Benefits & Perks: Flexible Working Hours & Workplace Open Vacation Policy Equal Opportunities: Incode is an equal opportunity employer, committed to creating a diverse and inclusive work environment. We take great pride in having an inclusive, diverse, and global team, and we are always looking for talented and passionate individuals from all backgrounds and walks of life. As part of our commitment to inclusion, we ensure that reasonable accommodations are available throughout the hiring process. If you require any accommodation due to a disability or specific need, please let our Talent Acquisition team know—we’ll do our best to support you. Applicant Data Privacy: We will only use your personal information concerning Incode’s application, recruitment, and hiring processes.

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.

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.

Location: Hong Kong, Hong Kong SAR; Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About The Opportunity As a Technical Expert, you will own the core build-out of the Operations Automation & Cloud Management Platform, focusing on the unified management and intelligent orchestration of multi-cloud products . By integrating with cloud provider APIs (Aliyun, AWS, Azure), the role builds full-lifecycle management capabilities across compute, storage, network, database, and middleware resources—combined with CMDB, Event Center, orchestration engines, and AI / LLM capabilities—to evolve from manual operations toward intelligent control and automated change, continuously improving operational efficiency and stability. What You’ll Be Doing Design and develop the Operations Automation & Cloud Management Platform, building full-lifecycle management capabilities for multi-cloud resources across compute, storage, network, database, and middleware; Integrate with cloud provider APIs (Aliyun, AWS, Azure) and Terraform to enable unified onboarding, automated provisioning, configuration changes, and cost optimization of cloud products; Own the design and development of core systems including CMDB, Event Center, and orchestration engines , building a unified data foundation for resources, configurations, and events, and develop workflow engines, task schedulers, and approval mechanisms; Build intelligent cloud management capabilities , leveraging AI / LLM for intelligent orchestration, change-risk assessment, and capacity/cost prediction, driving the evolution from manual operations to intelligent control; Explore the application of AI / LLM in cloud management , building an intelligent ops assistant (ChatOps / AI Copilot) to support natural-language-driven cloud resource operations and smart ticket handling; Design and maintain unified RESTful / gRPC interfaces and SDKs, and participate in platform security (OIDC, IAM Role, RBAC, audit) and operations. What We Look For In You Bachelor's degree or above in Computer Science, Software Engineering, or related fields; Proficient in Java , familiar with Spring / Spring Boot / Spring Cloud; Development or integration experience in multi-cloud resource management (Aliyun, AWS, Azure) and cloud provider APIs / Terraform ; Strong API design and system integration skills, with understanding of distributed architecture; Experience designing or developing CMDB, orchestration engines, or event centers; Knowledge of AI / LLM application development (Prompt Engineering, RAG, Agent), able to integrate AI into cloud management and operations scenarios; Excellent problem-solving skills and strong code-quality awareness. Perks & Benefits Competitive total compensation package L&D programs and education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Remote Workplace: Remote ABOUT US Constructor is the next-generation platform for search and discovery in ecommerce, built to explicitly optimize for metrics like revenue, conversion rate, and profit. Our search engine is entirely invented in-house utilizing transformers and generative LLMs, and we use its core and personalization capabilities to power everything from search itself to recommendations to shopping agents. Engineering is by far our largest department, and we've built our proprietary engine to be the best on the market, having never lost an A/B test to a competitive technology. We're passionate about maintaining this and work on the bleeding edge of AI to do so. Out of necessity, our engine is built for extreme scale and powers over 1 billion queries every day across 150 languages and roughly 100 countries. It is used by some of the biggest ecommerce companies in the world like Sephora, Under Armour, and Petco. We're a passionate team who love solving problems and want to make our customers' and coworkers' lives better. We value empathy, openness, curiosity, continuous improvement, and are excited by metrics that matter. We believe that empowering everyone in a company to do what they do best can lead to great things. Constructor is a U.S. based company that has been in the market since 2019. It was founded by Eli Finkelshteyn and Dan McCormick who still lead the company today. ABOUT THE TEAM The Experiments team at Constructor builds an experimentation platform: traffic allocation, exposure logging, metric computation, statistical analysis, and a UI for launching experiments and interpreting results. It’s used both internally and by customers running experiments on production traffic. We’re scaling customer experimentation usage and investing in making experiments faster, more reliable, and easier to interpret. Unlike boxed experimentation tools, our platform has to support a wide range of customer integrations, traffic patterns, and industry constraints — which makes the engineering problems unusually real-world and high-leverage. Team: 3 Software Engineers, 1 Data Analyst, an Engineering Manager, and a Product Manager. THE ROLE This is primarily a backend role (Python services + data-heavy systems). You’ll occasionally work in the Dash UI and contribute to Spark jobs, but those are not the main focus. We care about correctness, observability, and product usability more than complex infrastructure. Tech: Python, FastAPI, PostgreSQL, Plotly Dash, PySpark/Databricks, AWS, CloudWatch, Sentry (Spark work is ~5–10% — we don’t expect you to be a data engineer or own the data platform.) WHAT YOU’LL DO - Build and maintain backend services for experiment assignment, logging, and report generation - Improve scalability, performance, and reliability of experiment reporting pipelines - Add product-facing features to the UI to help users launch experiments and interpret results - Take technical ownership of projects: shape solutions, break down work, and drive execution with the team - Participate in a weekly on-call rotation (investigating occasional issues and answering internal questions) You’ll collaborate closely with Search/Recommendations engineers, ML/DS partners, and customer-facing teams when needed. This role does not require frequent direct customer calls. REQUIREMENTS MUST-HAVE - Strong experience building and owning production backend services in Python - Experience with monitoring, alerting, and debugging user-facing systems - Strong SQL skills and confidence working with data-heavy systems (metrics, logging, analytics) - Ability to ship maintainable software (tests, code review, incremental delivery) MINDSET - You take ownership: you can turn ambiguous problems into an executable technical plan - You care about building systems people trust and rely on NICE-TO-HAVE - Experience with experimentation systems, metrics platforms, or A/B testing workflows - Experience with PySpark and/or Databricks - We don’t expect you to already be an expert in experimentation methodology — but we do expect strong backend fundamentals and the ability to ramp up effectively in a data-heavy domain LOCATION / TIME ZONES - We’re a distributed team. Preferred time zones are UTC+1 to UTC+7, but we’re flexible BENEFITS - 🏝️ Unlimited vacation time - we strongly encourage all employees to take at least 3 weeks per year - 🌎 Fully remote team - choose where you live - 🛋️ Work from home stipend - we want you to have the resources you need to set up your home office - 💻 Apple laptops provided for new employees - 🧑‍🎓 Training and development budget - refreshed each year for every employee - 👪 Maternity & Paternity leave for qualified employees - 🧠 Work with smart people who will help you grow and make a meaningful impact - 💵 Base salary: $80k–$110k USD, depending on knowledge, skills, experience, and interview results - 📈 Stock options - offered in addition to the base salary - 🎉 Regular team offsites to connect and collaborate DIVERSITY, EQUITY, AND INCLUSION AT CONSTRUCTOR At Constructor.io http://Constructor.io we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group. Studies have shown that women and people of color may be less likely to apply for jobs unless they meet every one of the qualifications listed. Our primary interest is in finding the best candidate for the job. We encourage you to apply even if you don’t meet all of our listed qualifications. How we handle your data. By submitting this application, you acknowledge that Constructor will collect and process the personal data you provide for the purpose of evaluating your candidacy for this role. If you are not selected, we will retain your data for a limited period as described in our Recruitment Privacy Notice https://constructor.com/recruitment-privacy-notice. After that period your data will be deleted or anonymized.

Location: Europe Workplace: Remote ABOUT ENEBA At Eneba, we’re building an open, safe and sustainable marketplace for the gamers of today and tomorrow. Our marketplace supports close to 20m+ active users (and growing fast!), provides a level of trust, safety and market accessibility unparalleled to none. We’re proud of what we’ve accomplished in such a short time and look forward to sharing this journey with you. Join us as we continue to scale, diversify our portfolio, and grow with the evolving community of gamers. ABOUT THE TEAM We're a Data team. We gather specialists passionate about data, our mission is to help grow Eneba organization as a data driven decision maker by providing a solid data foundation. We want to foster a healthy data culture across organizations and enable our colleagues to have easier access to necessary data that they require in their day-to-day activities. Our team gathered ML experts who are creating amazing machine learning models. Data analysts provide crucial data insights for teams and data engineers who build cutting edge data pipeline solutions. RESPONSIBILITIES - Enable efficient data access by creating and maintaining data pipelines. - Collaborate with ML engineers to design and maintain automation for machine learning training, quality assessment, and model release process. - Build data infrastructure from the vast amount of data for analytics, hypothesis testing and company metrics. - Identify, design and implement improvement to internal processes allowing to optimize data delivery, automate manual processes. - Design new and improve current patterns for building data models and implement necessary modifications. REQUIREMENTS - 5+ years of experience in data engineering or in a similar role. - Extensive experience with Apache Spark using Python for large-scale data processing. - Familiarity with Databricks or similar cloud data platforms (such as Snowflake) would be a significant advantage. - Experience with AWS, Azure, or other Kubernetes platforms is a huge plus. - Must have hands-on expertise with Git for version control and collaboration. - Solid knowledge of SQL, essential for querying and managing relational databases. Salary ranges: 58000-70 000 euro gross annually What it’s like to work at Eneba   *Opportunity to join our Employee Stock Options program. *Opportunity to help scale a unique product.  *Various bonus systems: performance-based, referral, additional paid leave, personal learning budget. *Paid volunteering opportunities. *Work location of your choice: office, remote, opportunity to work and travel. *Personal and professional growth at an exponential rate supported by well-defined feedback and promotion processes.    *Please attach CV's in English. *To find out about how we handle your personal data, make sure to check out our Candidate Privacy Notice https://www.eneba.com/candidate-privacy-notice #LI-JP1

Location: Hong Kong, Hong Kong SAR; Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About The Opportunity As a Technical Expert, you will own the core build-out of the company's R&D Efficiency Platform, proactively identifying and eliminating risks across the delivery pipeline through CI/CD, DevSecOps, Change Management, and AI-Native upgrades—reducing delivery cost while improving quality and efficiency via platformization and automation. What You’ll Be Doing Build core capabilities of the R&D Efficiency Platform and onboard business systems to improve overall engineering efficiency and delivery quality; Design and optimize CI/CD pipelines (GitLab, Pipeline, ArgoCD), driving standardization, automation, and observability; Drive the AI-Native evolution of CI/CD , introducing AI Agent / LLM for intelligent code review, pipeline self-healing, smart test orchestration, and change-risk prediction; Build DevSecOps capabilities , embedding Shift-Left Security across the lifecycle with SAST, DAST, SCA, image/secret scanning, and security gates to ensure supply-chain security; Establish standardized Change Management , covering requests, risk assessment, approvals (CAB), canary releases, rollback, and change traceability; Apply Kubernetes, microservice governance (Nacos, Apollo, Kong), and Aliyun / AWS cloud services to ensure platform stability and scalability. What We Look For In You Solid Computer Science fundamentals (OS, networking, distributed systems, data structures & algorithms); Proficient in DevOps toolchains , CI/CD, Kubernetes, and microservice stacks; Familiar with DevSecOps concepts and security toolchains, understanding supply-chain security and compliance; Knowledge of AI / LLM in engineering-efficiency and CI/CD scenarios, with an AI-Native engineering mindset; Familiar with the Java stack, with broad awareness of multi-language and business-side technologies; Strong product sense, ownership, and ability to work under pressure; Fluent English communication for efficient cross-regional collaboration. Perks & Benefits Competitive total compensation package L&D programs and education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Paris; Amsterdam; Munich; London Workplace: Hybrid ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. ABOUT THE TEAM The Applied AI team is Mistral's customer-facing technical organization. We work directly with enterprise clients from pre-sales through implementation to deploy cutting-edge AI solutions that deliver measurable business impact. Our team combines deep ML expertise with strong customer engagement skills, operating like startup CTOs who own end-to-end project execution. Our SRE team works transversally across customer engagements, enabling value creation through Mistral tech - at scale. By joining the team you will bridge the gap between cutting-edge AI research and real-world enterprise applications, ensuring our solutions are robust, scalable, and aligned with both customer needs and Mistral's technological vision. ABOUT THE JOB You will be one of the founding engineers of the Applied AI SRE sub-team. Your mission, alongside the team, is to build and operate the framework to ensure Mistral’s solution delivery is reliable and sustainable - and applied uniformly across all our accounts, both Mistral-hosted and customer-hosted. You should already have a strong understanding of what operational excellence looks like, and you’re ready to scale your impact. You will operate in four concurrent modes: - BUILD - Design for a fleet of Mistral platforms and apps. Build proactivity to reduce reactivity. Productize reliability, author runbooks, create SLO templates, implement observability. - RUN - Operate the Tier-1 customer environments that Mistral are contracted to operate. Ensure SLO compliance, own on-call and incident response, manage drift, partner with Technical Support as L3 escalation, champion high signal post-mortems. - ENABLE - Productize how Mistral deploy, secure, and scale our Applied AI solutions. Engineer on-demand provisioning, author security baseline packages, embed security guardrails, automate everything. - SECURE - Own the security operations layer for our customer-side deployments. Lead CVE response across the fleet, ship supply-chain integrity controls (SBOM, signed images, provenance), co-page with InfoSec on security incidents, enforce secure-config baselines. This is a framework-first, fleet management role at heart. If you're excited by the difference between solving one customer's problem and structurally solving the class of problem for every customer, this is the role. HOW WE WORK IN APPLIED AI • We care about people and outputs. • What matters is what you ship, not the time you spend on it • Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week. • Always ask why. The best solutions come from deep understanding, not from copying what worked before • We say what we mean. Feedback is direct, timely, and given because we care. • No politics. Low ego, high standards. • We embrace an unstructured environment and find joy in it. ABOUT YOU • Fluent in English. • 5+ years in SRE, Production Engineering, or DevOps, with a record of shipping tooling. • Strong multi-tenant Kubernetes fluency, namespace segmentation, network policy, RBAC, admission control, operations at scale. • On-call discipline: incident response, blameless post-mortem culture, runbook-first mindset. • Observability stack in production: Prometheus, Grafana, OpenTelemetry, Loki, Tempo, Signoz. • Infrastructure as code: Terraform, Ansible (or close equivalents). • Proficient in Python and/or Golang for tooling and automation. • Security mindset: you treat secure-SDLC, CVE response, and supply-chain integrity as reliability properties of the shipped artifact, not as someone else's job. • Strong written communication skills: runbooks, post-mortems, and customer-facing incident comms are core deliverables of this role. • Comfortable operating with high autonomy in an ambiguous, fast-paced environment — and disciplined enough to defend the team's scope when work tries to spill in. • Solid Linux internals, networking debug, and distributed-systems fundamentals. STRONG PLUS • Cloud or application security background (AppSec, K8s security, supply chain — SBOM, cosign, SLSA). At least one of our early hires must bring this; if it's you, flag it. • Experience operating LLM / model-serving stacks in production • Experience with multi-cloud or on-prem hybrid customer environments (AWS, GCP, Azure, sovereign clouds). • Open-source contributions, particularly in SRE, observability, or security tooling.     By applying, you agree to our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Limassol; Nicosia; Athens; Thessaloniki Workplace: hybrid The Role:  Our team is expanding, and we are hiring an AI Systems Engineer to help drive the adoption, integration, and governance of enterprise AI technologies across the Group Company . You will join a collaborative and forward-thinking team responsible for delivering secure, scalable, and compliant AI platforms that empower employees and enhance business operations.   As an AI Systems Engineer, you will be responsible for the administration and integration of enterprise AI platforms, the development of AI-powered agents and automations, and ensuring that AI services are secure, reliable, and aligned with the Group's technology strategy. Working closely with IT, Information Security, Product Management, and other business stakeholders, you will play a key role in delivering innovative AI solutions that support the organisation's long-term digital transformation. The main responsibilities of the position include: Administer, maintain, and support enterprise AI platforms, including ChatGpt Enterprise, OpenAI Platform, Anthropic Claude ,Microsoft 365 Copilot, Copilot Studio, and third-party AI services Design, develop, and manage AI-powered agents and business automations Using OpenAI, Copilot Studio, AWS Agent Core Collaborate with Product Management and business stakeholders to identify AI use cases, gather requirements, and deliver AI solutions that improve business processes Manage the full lifecycle of AI agents, from design and deployment to monitoring, optimisation, and retirement Develop and maintain enterprise AI connectors, including Connection to Microsoft Graph, Power Platform connectors, Google Workspace API, Chatgpt Custom Apps, and similar connectors Deploy, configure, and support Model Context Protocol (MCP) servers to enable secure integration between AI platforms and enterprise systems Manage API integrations, authentication mechanisms, and secure access using OAuth, Single Sign-On (SSO), service accounts, and related technologies Monitor, troubleshoot, and optimise AI platforms, integrations, and automation solutions to ensure performance, reliability, and security Collaborate with Information Security teams to implement AI governance, security controls, compliance requirements, and data protection measures Support the development and maintenance of AI governance frameworks, approval processes, and enterprise AI standards Manage AI platform licensing, capacity planning, usage analytics, and adoption metrics Promote AI adoption across the Group by delivering documentation, workshops, user support, and training initiatives Participate in AI strategy discussions, platform evaluations, and technology roadmap planning Research and evaluate emerging AI technologies and recommend improvements that enhance business efficiency Maintain accurate technical documentation for AI platforms, integrations, automations, and related configurations Main requirements: BSc/MSc in Information Technology, Computer Science, or a related field 3+ years of professional experience in Systems Engineering, Platform Engineering, Enterprise Applications, IT Integration, or a similar role Hands-on experience administering Microsoft 365 technologies, including Entra ID, Intune, Conditional Access, and SharePoint Practical experience working with enterprise AI platforms, including Microsoft Copilot, Copilot Studio, Agent Builder, Azure OpenAI, OpenAI, Claude, or Gemini Strong understanding of enterprise integrations, REST APIs, Microsoft Graph, Power Platform connectors, OAuth, and Single Sign-On (SSO) Experience developing AI agents and automations using Copilot Studio, including knowledge grounding and Power Automate Hands-on experience with Model Context Protocol (MCP), including building or consuming standard and custom MCP servers Experience with Azure AI Foundary, OpenAI Codex, Github Copilot, AWS Bedrock Understanding of AI governance, responsible AI principles, and enterprise security controls such as Data Loss Prevention (DLP), sensitivity labels, and compliance frameworks Experience integrating enterprise platforms with tools such as Jira, ServiceNow, or similar systems Scripting experience using PowerShell, Python, or similar languages for automation and administration Strong analytical, troubleshooting, and problem-solving skills Excellent communication, collaboration, and documentation skills A proactive mindset, strong attention to detail, and commitment to continuous learning The following will be considered an advantage: Experience working within multi-model enterprise AI environments Knowledge of enterprise AI governance, compliance, and security best practices Experience supporting AI adoption initiatives through user training and enablement Exposure to enterprise-scale AI platform administration and operations Benefit from: Attractive remuneration package Private health insurance Corporate pension fund Intellectually stimulating work environment Continuous personal development and international training opportunities The Hiring Experience: What Awaits You Let’s Connect – Intro Chat with Talent Acquisition Deep Dive – First Interview with Your Future Team Final Connection – Final Interview All applications will be treated with strict confidentiality!   By submitting this application, I confirm that I have read and agree to the terms of the Privacy and Data Protection Notice and the Confidentiality Undertaking.

Ищем ML Engineer в команду рекомендаций социальной сети для геймеров Gameram. Вакансия ближе к DE/MLOps — основной фокус на подготовке и доставке рекомендательных систем до пользователя и их стабильной работе в проде. Стек: Scala, Python, Spark, Airflow, Hadoop/HDFS, Kafka, ZooKeeper, ClickHouse, Superset, Redis, PostgreSQL, AWS Обязанности: — Выводить ML-модели и рекомендательные системы в production; — Развивать и поддерживать ML-инфраструктуру; — Взаимодействовать с Data Science, продуктом и другими инженерами. Требования: — 4+ года опыта в разработке; — Уверенный Scala и/или Python; — Опыт вывода ML-моделей в production и поддержки production-систем; — Опыт работы с Big Data и распределённой обработкой данных; — Понимание ML-пайплайнов и жизненного цикла моделей; — Опыт с рекомендательными системами будет большим плюсом. Условия: — full-time, удалённо (не РФ). — Зарплата: $4,000–5,000 gross / месяц.

Задачи: — Руководство командой Algorithmic Pricing и поддержка личного и карьерного роста инженеров. — Обеспечение высокой надежности и низкой задержки системы, управляющей стоимостью доставки в более чем 60 странах. — Сотрудничество с продуктовыми командами для технического направления и проектирования итеративных решений. — Ответственность за технические метрики, KPI, мониторинг и оповещения команды. — Контроль выполнения функционала в небольших, ориентированных на ценность итерациях. Требования: — Подтвержденный опыт технического руководства и управления, согласованного с бизнес-целями. — Глубокое понимание JVM-технологий (Java/Kotlin). — Опыт работы с микросервисами, API-ориентированными и событийно-ориентированными коммуникациями. — Знание инфраструктуры как кода (IaaC), в частности Kubernetes и AWS. — Опыт управления кросс-функциональными командами и зависимостями. Будет плюсом: — Знакомство с A/B тестированием. — Опыт в области ценообразования. — Способность активно поддерживать младших разработчиков. Условия: — Гибридный формат работы с обязательным присутствием 2 дня в неделю в офисе в Берлине. — 27 дней отпуска с дополнительными днями в зависимости от стажа. — Бюджет на образование €1,000 и доступ к Udemy Business. — Медицинские обследования, медитация, абонементы в спортзал и субсидии на велосипед. — Программа покупки акций сотрудниками, корпоративный пенсионный план, страхование жизни и от несчастных случаев. — Полная поддержка при переезде в Берлин.

Location: Remote - Canada We’re introducing Rust where correctness, performance, and reliability truly matter. Narvar is Growing! Narvar is a multi-language platform, and we’re intentional about where we apply Rust. We’re looking for senior engineers to help us bring Rust into the backbone of the system — the parts that must be fast, safe, and correct under real-world scale. This role is for engineers who want agency: people who enjoy identifying the right problems, choosing the right tools, and owning systems end-to-end. You won’t be handed a narrow ticket queue. You’ll help decide what gets built and how it should be built. For this role, you should be located in Canada and able to work within EST/EDT or PDT/PST hours. We are fully remote. Day-to-day Design and build high-correctness Rust services that sit on critical platform paths Introduce Rust into areas where safety, determinism, and performance are essential Own systems from architecture → implementation → rollout → operations Make real decisions around concurrency, async boundaries, data integrity, and failure modes Work across service boundaries in a polyglot environment (Rust alongside other stacks) Collaborate with product, design, and frontend engineers to build systems that are technically sound and product-aware Improve reliability, observability, and system behavior through design, not just patching Mentor other engineers and raise the bar on system quality and ownership What We’re Looking For We care more about judgment and ownership than credentials. You’re likely a strong fit if you: Have built and operated distributed systems in production Have deep hands-on Rust experience (not just experiments or side projects) Understand where Rust shines — and where it doesn’t Are comfortable reasoning about concurrency, async systems, and correctness guarantees Have experience designing APIs and data contracts that evolve safely over time Have worked with relational and/or NoSQL databases at scale Have deployed and operated services in AWS or GCP (We are a GCP Shop though!) Take initiative naturally and are comfortable operating with ambiguity Communicate clearly and make tradeoffs explicit Bonus Points These aren’t hard requirements, but strong indicators: You’ve worked in startup or high-ownership environments You’ve owned systems in production, including on-call responsibility You’re comfortable moving across the stack when needed (backend-first, full-stack aware) You’ve influenced architecture by earning trust, not by mandate You use modern tooling (including AI-assisted workflows) to increase leverage , not outsource thinking (Note: we care about outcome and judgment, not how flashy your tools are.) Why Rust at Narvar? Because some parts of the system deserve stronger guarantees. We use Rust where: Bugs are expensive Latency and throughput matter Safety and correctness are non-negotiable You’ll help define where Rust belongs , not just write Rust in isolation. Why Narvar (From an Engineer’s Perspective)? Real scale, real customers, real impacts Startup-level ownership with platform-level impact Teams that value thinking, judgment, and responsibility Low ego, high trust, and room to do your best work Why Narvar? We're on a mission to simplify the everyday lives of consumers. Post-purchase is a critical phase of the customer journey. That's why we created Narvar - a platform focused on driving customer loyalty through seamless post-purchase experiences that allow retailers to retain, engage, and delight customers. If you've ever bought something online, there's a good chance you've used our platform! From the hottest new direct-to-consumer companies to retail’s most renowned brands, Narvar works with GameStop, Neiman Marcus, Sonos, Nike, and 1300+ + other brands. With hubs in San Francisco, Atlanta, London, and Bangalore, we've served over 125 million consumers worldwide across 10+ billion interactions, 38 countries, and 55 languages. Pioneering the post-purchase movement means navigating into the unknown. Our team thrives on this sense of adventure while nurturing a mindset of innovation. We're a home for big hearts and we leave our egos at the door. We work hard but we always make time to celebrate professional wins, baby showers, birthday parties, and everything in between. We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. #LI-Remote Please read our Privacy Policy to learn what personal information we collect in connection with your job application, and how we may use and share it.

Location: Paris Workplace: OnSite ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. About The Job:   Mistral AI is seeking a Technical Lead, Applied AI to drive the technical strategy, execution, and delivery of complex AI solutions for our enterprise customers. In this role, you will lead a project teams of Applied AI Engineers, ensuring the successful deployment of Mistral AI products and the development of high-impact, scalable AI use cases.   You will act as the primary technical point of contact for our most strategic customers, guiding them through the entire lifecycle—from pre-sales to post-implementation—while collaborating closely with research, product, and engineering teams to shape the future of our offerings.   As a Technical Lead, you will bridge the gap between cutting-edge AI research and real-world enterprise applications, ensuring our solutions are robust, scalable, and aligned with both customer needs and Mistral’s technological vision.   What you will do   - Deliver as an IC the critical lines of codes of our complex projects, you’ll be hands-on and de-risk the critical parts of our complex projects. You’ll stay deeply involved in coding, reviewing, and optimizing AI solutions. - Lead technical teams of Applied AI Engineers, providing mentorship, technical guidance, and best practices for deploying state-of-the-art GenAI applications across industries. - Lead technical discussions during pre-sales, translating customer requirements into actionable solutions and communicating Mistral’s technological advantages to diverse stakeholders. - Design and oversee the implementation of complex AI systems, including fine-tuning, RAG, agentic workflows, and custom LLM applications, ensuring alignment with Mistral’s product roadmap and open-source initiatives. - Drive innovation by identifying emerging trends in AI, evaluating new tools and methodologies, and championing best practices for fine-tuning, inference, and deployment. - Work closely with product managers, researchers, and engineers to ensure seamless integration of customer feedback into Mistral’s product development cycle.   How We Work in Applied AI   - We care about people and outputs. - What matters is what you ship, not the time you spend on it - Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week. - Always ask why. The best solutions come from deep understanding, not from copying what worked before - We say what we mean. Feedback is direct, timely, and given because we care. - No politics. Low ego, high standards. - We embrace an unstructured environment and find joy in it.   About you - You are fluent in English. - You hold a PhD or Master’s degree in AI, Machine Learning, Computer Science, or a related field. - You have 7/8+ years of experience in AI/ML, with at least 2+ years in a technical leadership role (e.g., Tech Lead, Engineering Manager, or Solutions Architect) focused on AI products or enterprise solutions. - You have a proven track record of leading teams to deliver complex AI projects, from prototyping to production, in industries such as tech, finance, healthcare, or industrial automation. - You possess deep expertise in fine-tuning LLMs, advanced RAG, agentic systems, and deploying NLP applications at scale. - You are proficient in Python, PyTorch, and modern AI frameworks (e.g., LangChain, Hugging Face). Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools is a plus. - You have strong software engineering skills, including API design, backend/full-stack development, and system architecture. - You excel in technical communication, with the ability to articulate complex concepts to both technical and non-technical audiences, including executives and engineers. - You thrive in fast-paced, collaborative environments and are passionate about mentoring and growing technical talent.   Ideally, you have: - Contributed to open-source projects, particularly in the LLM or AI space. - Experience in customer-facing roles (e.g., Solutions Architect, Customer Engineer, or Technical Product Manager) with a focus on enterprise AI adoption. - A track record of driving technical strategy and influencing product direction based on customer needs and market opportunities.   Why join us? You’ll have the opportunity to shape the future of AI adoption in enterprises, work with a world-class team, and contribute to open-source projects that impact millions. If you’re excited about leading technical innovation and solving real-world challenges with AI, we’d love to hear from you! WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Paris ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. ABOUT THE JOB The Applied AI for Defense team is Mistral’s specialized unit dedicated to delivering high-impact, secure AI solutions for institutions and organizations operating in highly regulated and strategic environments. We work hand-in-hand with clients to design, deploy, and maintain AI systems that meet the highest standards of reliability, security, and operational excellence. Our team combines deep technical expertise with a rigorous approach to compliance and risk management, ensuring that every solution is both cutting-edge and fully aligned with the unique constraints of our partners. Mistral AI is seeking an Applied AI Engineer to join this team. You will be responsible for the technical design, implementation, and deployment of AI solutions tailored to the needs of critical infrastructure and sovereign institutions. Your work will directly contribute to projects with significant societal and operational impact. WHAT YOU WILL DO • Individually deploy AI solutions into production for use cases with significant operational and strategic impact. • Develop state-of-the-art GenAI applications tailored to the specific needs of sovereign institutions and critical infrastructure, driving technological transformation in collaboration with our customers. • Work closely with our researchers, AI engineers, and product teams on complex customer projects involving advanced fine-tuning, LLM applications, and contributions to our open-source codebases for inference and fine-tuning. • Participate in pre-sales discussions to understand the needs, challenges, and aspirations of potential clients, providing technical guidance on Mistral’s products and technologies to diverse stakeholders. • Collaborate with our product and science teams to continuously improve our offerings based on customer feedback, with a focus on security, compliance, and performance. HOW WE WORK IN APPLIED AI • We care about people and outputs. • What matters is what you ship, not the time you spend on it • Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week. • Always ask why. The best solutions come from deep understanding, not from copying what worked before • We say what we mean. Feedback is direct, timely, and given because we care. • No politics. Low ego, high standards. • We embrace an unstructured environment and find joy in it. ABOUT YOU • Fluent in English. • PhD or Master's in AI, Machine Learning, Computer Science, or related field. • 2+ years of experience in AI/ML • Proven track record of leading teams to deliver complex AI projects from prototyping to production. • Deep expertise in fine-tuning LLMs, advanced RAG, agentic systems, and deploying NLP applications at scale. • Proficient in Python, PyTorch, and modern AI frameworks (LangChain, HuggingFace). Cloud platforms (AWS, GCP, Azure) and MLOps tools a plus. • Strong software engineering skills: API design, backend/full-stack development, system architecture. • Excels in technical communication with technical and non-technical audiences, including executives. • Thrives in fast-paced collaborative environments and is passionate about mentoring technical talent.   IT WOULD BE GREAT IF YOU • Have experience with React or other frontend frameworks. • Have experience with Deep Learning in PyTorch • Contributed to open-source projects in the LLM or AI space. • Have experience in customer-facing roles with a focus on enterprise AI adoption. SECURITY & COMPLIANCE CRITERIA • Eligibility: must hold citizenship in the target territory (France for now). • Clearable: must meet all local requirements for high-level security clearance (e.g., no criminal record, fulfillment of national service obligations). WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.