Вакансии

Location: Remote - Colombia ; Remote - Costa Rica ; Remote - Mexico Backblaze is the object storage leader in the open cloud movement, fueling customer success with cloud storage built purposefully to unlock budgets, unburden administrators, and unleash innovators. Together with our partners, we’re helping customers break free from the restrictive, overpriced legacy solutions that hold them back, and blaze forward with the full power of the open cloud in their hands. Founded in 2007, we scaled the business with less than $3 million in outside funding until 2021, when we did a traditional IPO on the Nasdaq stock exchange. Today, Backblaze generates over $100m in revenue and is the leading specialized storage cloud - managing over three billion gigabytes of data storage for 500K+ customers in 175+ countries, including businesses, developers, IT professionals, and individuals. But while there is a lot to celebrate in our past, there is almost as much opportunity ahead of us. We are seeking a Sr. AI Security Engineer to join our team! About The Role Backblaze is seeking a Senior AI Security Engineer to design and implement safeguards for internal AI usage , with a focus on agentic systems, developer protection, and runtime security . This is a hands-on role for a practitioner who has built and deployed security controls , not just defined policy. You will enable teams to safely use AI by creating enforcement layers, identity controls, and detection capabilities that constrain and monitor AI-driven activity. What You’ll Do: Agentic AI Safeguards Architect and implement guardrails for tool-using AI systems , including: Tool access controls and allowlists Context and memory isolation Step-level validation of agent actions Apply mitigations aligned to the OWASP Agentic AI Top 10 (e.g., prompt injection, unsafe tool use, data leakage, excessive autonomy) Runtime Security Controls Build enforcement mechanisms that govern AI behavior at execution time: Interceptors, proxies, or middleware for tool/API calls Policy decision and enforcement layers Rate limits, execution bounds, and kill-switches Prevent unsafe or unauthorized actions initiated by AI systems Non-Human Identity (NHI) Design and implement identity and access controls for agents and automation , including: Short-lived credentials and scoped permissions Clear separation between human and non-human access Strong binding of identity to task context and execution Ensure all AI actions are attributable and auditable Observability & Detection Implement logging and tracing for AI activity : Prompts, tool usage, and decision flows Build detection capabilities using: Behavioral baselining and anomaly detection techniques Identify and alert on: Abnormal tool usage Suspicious prompt patterns Unexpected data access Threat Modeling (MAESTRO) Perform agentic system threat modeling using MAESTRO , including: Mapping agent capabilities, trust boundaries, and attack paths Modeling misuse and adversarial scenarios Translate findings into practical safeguards and detection logic Developer Safeguards Protect developers using AI tools by: Preventing sensitive data exposure Validating AI-generated code and actions Constraining unsafe automation Enable safe usage of AI-assisted development tools (e.g., Claude Code, Codex, Cursor ) with: Security validation layers Controlled prompting and output handling patterns The Right Fit: 7+ years in security engineering or backend systems Proven experience designing and deploying security controls , such as: Runtime enforcement layers (proxies, middleware, policy engines) Identity and access systems, especially for non-human entities Strong programming skills (Python preferred; Go, Java, or TypeScript a plus) Experience using AI-assisted development tools such as Claude Code in real workflows, including understanding associated security risks and safeguards Experience with: Logging, monitoring, and detection systems Building or securing API/service interactions Practical familiarity with: Agentic AI systems or tool-integrated LLM workflows OWASP guidance for AI/agent risks Practitioner Knowledge Experience applying (not just referencing): OWASP Agentic AI / LLM risk guidance NIST AI RMF concepts in real systems CSA guidance on workload and machine identity Strong understanding of: Zero Trust for non-human identities Secrets management and credential scoping Observability tooling (e.g., OpenTelemetry, ELK) Bonus Points For: Experience securing internal AI platforms or developer-facing AI tools Background in detection engineering, threat hunting, or adversarial testing Familiarity with agent frameworks (e.g., LangChain, LlamaIndex) Experience mentoring engineers and guiding secure design At this point, we hope you're feeling excited about the job description you're reading. Even if you don't meet every requirement, we still encourage you to apply. Learning, developing, and growing are key parts of our culture. We're eager to meet people who believe in our mission and can contribute to our team in various ways. We want people to feel comfortable expressing their true selves and to come, stay, and do their best work here. At Backblaze, we value being fair and good to our customers, partners, and employees. That’s why diversity, equity, and inclusion are at the core of our values. We are committed to fostering a workforce where all employees feel a sense of belonging regardless of race, ethnicity, nationality, gender, sexual orientation, age, religion, socio-economic status, ability, veteran status, and education. We believe that our dedication to cultivating a diverse workspace not only allows us to better serve our customers in over 175 countries, but further reinforces our commitment to doing the right thing. We are proud to be an Equal Opportunity Employer. To understand more about the data we collect and process as part of your application, please view our Backblaze Employee Privacy Notice. #LATAM

Location: United States, Madison, WI Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Sr. Software Development Engineer In Test, ML/AI At SIE, we believe in making play safer for everyone. Within our Information Security team, we protect our people, platforms, and products with smart, scalable, and thoughtful solutions. Our mission is to provide clear, actionable risk and security insights that guide the business and enable amazing player experiences. We’re building a team that thrives on collaboration, curiosity, and delivering real value. Come help us make a difference! Overview We are hiring a Sr Software Engineer in Test specializing in ML/AI quality, including automation for model evaluation, LLM-assisted test generation, and validation of AI-powered workflows. The role includes guiding quality strategy and developing automation frameworks. You will also manage implementation for complex, cross-functional, machine learning-powered products and services. This role involves more than test development. You will lead quality initiatives from start to finish, ensuring teams stay synchronized, dependencies are managed, and releases are delivered confidently. You will work closely with ML, engineering, product, and infrastructure teams. You will shape how quality is built, monitored, and expanded while leading embedded QE efforts within projects. What you’ll do Define and complete quality strategies, test plans, and automation coverage for ML-powered services and platform components. Use LLMs and other AI-assisted techniques to generate, expand, and maintain high-value test cases for ML-powered workflows. Design scenario-based test suites for AI features, including adversarial prompts, edge cases, ambiguous inputs, and underrepresented user scenarios. Lead QE efforts for multi-functional projects, driving risk assessment, dependency management, and release readiness. Design, develop, and maintain scalable automation frameworks for backend services, APIs, and ML inference systems using Python and/or Java. Build automated validation for ML and LLM outputs, including ranking behavior, score distributions, prompt/response quality, hallucination indicators, and probabilistic model evaluation. Debug test failures, service anomalies, model inconsistencies, and AI behavior regressions to identify root causes and drive resolution. Perform functional, integration, regression, API, end-to-end, performance, and reliability testing for distributed systems. Improve automation reliability, reduce flakiness, and optimize execution efficiency. Partner with engineering and ML teams to integrate automated testing into CI/CD pipelines and release workflows. Collaborate across teams to establish scalable quality standards, tooling, and guidelines. Required qualifications Bachelor’s degree in Computer Science or equivalent 5+ years of experience as an SDET or QE engineer focused on backend and distributed systems. Experience using LLMs to generate, transform, and prioritize test cases for AI-powered experiences. Experience with AI evaluation tooling, prompt evaluation frameworks, model monitoring, or human-in-the-loop review workflows. Strong experience testing RESTful APIs, microservices, and distributed architectures. Proficiency in Python, Java, JS or similar languages for automation development. Hands-on experience with automation frameworks such as pytest, JUnit, Selenium, Playwright, Cypress, or Appium. Experience with CI/CD systems and test pipelines (Jenkins, GitHub Actions, etc.). Experience with cloud and container technologies (AWS, GCP, Kubernetes, Docker). Familiarity with databases, monitoring, and observability tools. Strong understanding of SDLC, Agile methodologies, and release processes. Excellent problem-solving, debugging, and communication skills. Preferred qualifications Experience validating ML outputs using statistical analysis or scenario-based testing approaches. Familiarity with ML infrastructure, data pipelines, or model-serving platforms (Seldon, KServe, Ray Serve, etc.). Prior work in content moderation ML, security, fraud detection, or adversarial ML. Experience testing high-scale, low-latency online services. Experience with Databricks or similar ML platform tooling. Familiarity with Node.js, React, or modern frontend technologies. Experience testing mobile, console, or other non-PC platforms. What sets you apart Strong combination of automation engineering and delivery ownership. Ability to drive quality across complex cross-functional initiatives. Practical understanding of how to test non-deterministic AI systems and separate model variance from quality regressions. Proven risk management and dependency coordination skills. Ability to influence engineering teams and promote quality guidelines. Passion for scalable, reliable, and maintainable automation systems. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $152,500 — $228,700 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Задачи: — Ведение полного цикла сбора и анализа требований, включая функциональные, нефункциональные, исключения и крайние случаи. — Поддержание актуальной документации требований и выступление основным контактным лицом для уточнений. — Предложение продуктовых решений на основе экспертизы, UX и анализа пользовательского поведения. — Разрешение конфликтов интересов заинтересованных сторон через структурированный диалог и компромиссы. — Синтез информации из разных источников для прояснения сложных или неоднозначных ситуаций. — Самостоятельное управление коммуникацией с заинтересованными сторонами, обеспечение общего понимания объема и целей. — Ведение полного цикла уточнения историй, обеспечение полноты, согласованности и покрытия тестами требований. — Совместная с архитекторами разработка архитектурного видения решения, определение ключевых компонентов, интерфейсов и потоков данных. — Рекомендация технологий для эффективного удовлетворения бизнес-потребностей. — Активная поддержка разработки и тестирования, устранение неоднозначностей в процессе реализации. — Координация UAT, обеспечение соответствия тест-кейсов бизнес-целям и требованиям. — Работа с множеством источников данных (структурированных и неструктурированных) для поддержки ключевых бизнес-решений. — Руководство доставкой функций и проектов в рамках одной команды, управление объемом, сроками и коммуникацией. — Тесное взаимодействие с владельцами продуктов для согласования приоритетов и требований. — Поддержка конечных пользователей через подготовку документации и проведение обучающих сессий. Требования: — Высшее образование в области компьютерных наук, программной инженерии или смежных технических областях. — Опыт работы не менее 5 лет в разработке ПО в роли системного или технического бизнес-аналитика. — Знание бизнес-домена. — Глубокие знания SQL и баз данных. — Знание Python, Java, Golang, JavaScript, C# и C++ для целей анализа. — Знание современных методов управления требованиями, таких как Use Cases и User Stories. — Практический опыт проектирования решений с нуля. — Понимание нефункциональных требований и их роли в процессе разработки. — Отличное понимание интеграционных процессов и умение проектировать схемы интеграции с использованием Kafka. — Знание бизнес-процессов и нотаций BPMN и UML. — Знание веб-сервисов, REST API, HTTP и микросервисной архитектуры. — Понимание базовых концепций UI/UX. — Знание теории алгоритмов, теории баз данных, теории систем, системного анализа и информационной безопасности. — Продвинутый или свободный уровень английского языка. — Умение работать самостоятельно в быстром темпе, согласовываясь с целями команды. — Структурированная и четкая коммуникация. — Внимание к деталям и приверженность качеству. Условия: — Конкурентная зарплата и ежегодный бонус по результатам работы. — Полная поддержка при релокации для кандидата и семьи (перелеты, жилье, визы, юридическая помощь). — Медицинская страховка высшего уровня с покрытием для всей семьи, включая стоматологию, зрение, психическое здоровье, а также страхование жизни. — Неограниченные возможности для обучения: внешние курсы, уроки английского, развитие карьеры и лидерских навыков. — Оплата образования для детей (школа и детский сад). — 21 рабочий день отпуска в году, плюс официальные праздники, оплачиваемые больничные, декретные и отпуск по уходу за ребенком. — Программа признания сотрудников: брендированные подарки, выходные на день рождения, бюджеты на празднования свадеб, рождений и важных событий. — Командные поездки и корпоративные мероприятия. — Программа акций компании. — Корпоративный автомобиль MINI Cooper Countryman и личная парковка. — Бесплатные спортивные клубы, доступ в спортзал Sanctum Club и водные мотоциклы. — Доступ к корпоративному врачу. — Эксклюзивные скидки в кафе, спортзалах и местных сервисах. — Налоговые льготы для экспатов: до 50% освобождения от подоходного налога. — Поддержка в процессе натурализации для релокированных сотрудников.

Задачи: - Поддержка текущего функционала продукта. - Расширение и развитие функционала действующего продукта. - Анализ логов, данных, выстраивание логических цепочек, построение и проверка гипотез. - Создание и поддержка новых дата-пайплайнов. - Работа с Clickhouse. Написание и оптимизация средних/сложных SQL запросов. - Анализ, подготовка и обработка данных. - Обеспечение качества данных. Предстоит поддерживать и развивать: - Десктопное кроссплатформенное ПО (Java 17+, Swing). - Монолитное ПО, включает в себя клиентскую и серверную части (взаимодействие посредством gRPC). - Отсутствие фрэймворка, используются собственные наработки. - Организация взаимодействия с БД (PostgreSQL, ClickHouse) посредством jdbc, без подключения дополнительных библиотек. - Организация работ механизмов в многопоточном режиме с помощью ExecutorService, CompletableFuture. - Покрытие кода тестами (Mockito, JUnit). - Аналитические запросы и большие объёмы данных (~60 TB). Требования: - Опыт работы в аналогичной роли от 3 лет. - Знание теории реляционных БД, понимание логической, физической моделей БД. - Опыт оптимизации сложных запросов. - Опыт поиска проблем в работающих под высокой нагрузкой системах. - Опыт создания и поддержки ETL-процессов. - Глубокий практический опыт разработки на Python (pandas, numpy). - Опыт работы с Apache Airflow, самостоятельное создание DAG. - Опыт работы с СУБД Clickhouse, написание средних/сложных и нетривиальных SQL-запросов. - Умение самостоятельно брать задачи, по необходимости уточнять требования и доводить до финального результата. - Навык поиска оптимальных решений: умение работать в условиях неопределенности, формулировать вопросы и предлагать решения.

Обязанности: • Выполнять работы по разработке, внедрению, сопровождению и совершенствованию программного обеспечения АСУТП, систем сбора и мониторинга данных • Участвовать в проектах АСУТП, MES в качестве эксперта • Вести подготовку необходимых данных для разработки программного обеспечения АСУТП, MES • Участвовать в разработке средств интеграции систем управления с целью повышения достоверности учетных данных • Отвечать за проектирование и внедрение автоматизированных систем управления технологическими процессами (АСУТП) и автоматизированных систем управления производством (MES) • Управлять проектами в области АСУТП на производствах с целью реализации задач предприятия, направленных на оптимизацию существующих и внедрение новых АСУТП производств • Подготавливать необходимые данные для разработки технических заданий и рабочих проектов АСУТП и MES • Отвечать за разработку средств интеграции систем управления с целью повышения достоверности учетных данных Требования: • Знание языков программирования • Навыки работы с программируемыми логическими контроллерами (ПЛК) • Опыт работы со SCADA системами. Умение разрабатывать, внедрять и сопровождать SCADA-приложения • Знание сред разработки CoDeSyS, ISAGraf, Step 7, PCS 7, TIA Portal, MS Visual Studio, NetBeans, Siemens • Знание языков объектно-ориентированного программирования (C++, C#, Java, Python) Условия: • Официальное трудоустройство в соответствии с ТК РФ • Стабильный доход с первого месяца, полностью «белая» зарплата: оклад плюс премирование • График 2/2 (с 09:00 до 21:00) • Все социальные гарантии согласно ТК РФ • Широкий пакет ДМС с ведущими клиниками города • Работу в команде профессионалов с возможностью роста • На входе в компанию присутствует система обучения и наставничество • Компания осуществляет бронирование сотрудников в рамках норм действующего законодательства

Location: 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 Team The SRE team is dedicated to deeply integrating large language models (LLMs), AI Agents, and engineering platform capabilities to build an intelligent application system for R&D, operations, stability, and business scenarios. By creating an AI application architecture that is observable, evaluable, governable, and continuously evolving, the team is driving the company's shift from "tool-assisted" to "intelligent collaboration," improving R&D efficiency, system stability, fault diagnosis efficiency, and the quality of business decisions. What You’ll Be Doing Design and build AI Harness capabilities for SRE / DevOps scenarios, including fault detection, change analysis, capacity risk identification, automated inspection, drill evaluation, and recovery recommendations. Drive the development of an automated RCA (Root Cause Analysis) system, combining logs, metrics, distributed tracing, events, changes, topology, and other data to achieve root cause analysis, impact scope assessment, and post-incident review support. Build AIOps platform capabilities, including intelligent alert noise reduction, anomaly detection, event correlation, trend prediction, fault attribution, and automated closed-loop remediation. Collaborate with R&D, SRE, platform, data, and business teams to embed AI capabilities into Code Review, CI/CD, GitOps, DevOps, incident response, and stability governance processes. What We Look For In You Bachelor's degree or above in Computer Science or a related field, with 8+ years of experience in R&D, architecture, or platform engineering; experience building AI applications, SRE, AIOps, or DevOps platforms is preferred. Strong software architecture skills, familiar with microservices architecture, distributed systems, high-availability design, service governance, observability, and platform engineering. Familiar with LLM application development; understanding of core technologies such as LLM, RAG, Embedding, vector databases, Agents, Function Calling / Tool Calling, and Prompt Engineering. Understanding of the production challenges of AI applications, including hallucination control, result evaluation, permission boundaries, data security, cost control, observability, and failure fallback mechanisms. Experience delivering AI Agent or intelligent assistant products, able to design complex task decomposition, multi-tool invocation, multi-turn reasoning, context management, and human-machine collaboration workflows. Familiar with RCA or AIOps capability development, including log analysis, metric anomaly detection, distributed tracing, event correlation, alert noise reduction, topology analysis, and root cause localization. Proficient in at least one mainstream development language, such as Java, Python, Go, or TypeScript, with strong engineering implementation and system design skills. Familiar with cloud-native technology stacks and common middleware, such as Kubernetes, Docker, Kafka, Redis, MySQL, Elasticsearch, Prometheus, Grafana, OpenTelemetry, etc. Strong complex problem analysis skills and holistic architectural thinking, able to drive problem-solving from business, platform, process, and organizational collaboration perspectives. Ability to communicate in both Chinese and English is preferred as the role requires collaborating with cross-region stakeholders 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 dependents 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: Hamburg Workplace: Hybrid adjoe is redefining the future of mobile advertising. Powered by advanced AI, first-party data, and world-class engineers, we’ve perfected the offerwall experience for monetizing and scaling app publishers with solutions like Playtime and Arcade – now the fastest growing rewarded advertising channel globally – driving incremental engagement, retention, and revenue. At the same time, we’re breaking into programmatic advertising with our intelligent bidding system of adjoe Ads. Together, this ecosystem connects app developers to over 700 million users worldwide for scalable growth. Backed by Europe’s leading media powerhouse Bertelsmann and operating from offices in Hamburg (HQ), Boston, Singapore, and Tokyo, adjoe is defining the next stages of app and ad experience – right now. Join us. What You Will Do: - Executive Relationship Management: Navigate and manage high-stakes technical relationships with C-level stakeholders (CTOs, Architects, and Engineering Leads) at our most strategic publisher partners. - Success & Service Excellence: Ensure industry-leading satisfaction levels and uphold rigorous Service Level Agreements (SLAs) for our global publisher base. - Technical Implementation: Oversee end-to-end complex onboardings and technical integrations, ensuring seamless alignment between publisher tech stacks and our proprietary systems. - Strategic Escalation: Act as the final point of escalation for “unsolvable” technical bugs, delivery discrepancies, or high-priority system failures. - Product Advocacy: Partner closely with Product and Engineering teams to translate direct publisher feedback and technical pain points into actionable items for the product roadmap. - Mentorship & Growth: Lead, mentor, and scale a team of Technical Account Managers (TAMs), fostering a culture of technical curiosity and client-first problem-solving. - Standardization: Develop and refine “Playbooks” for onboarding, troubleshooting, and partner management to ensure a consistent, world-class partner experience. Who You Are: - You bring 8+ years of experience in Ad Tech, MarTech, or SaaS, including at least 5 years in a formal leadership or people-management capacity. - Executive Ownership: You embody a “driver” mentality. You take full accountability for key initiatives, navigating ambiguity with a sense of urgency and ensuring projects reach the finish line through proactive leadership. - Analytical Power: You possess elite problem-solving skills and are comfortable “getting into the weeds” with data. You are proficient in SQL for database querying, as well as Excel and other advanced analytics tools. - Technical Literacy: You have a solid understanding of HTML and JavaScript (or a similar scripting language). You understand the architecture of the web and how disparate technical systems communicate. - Systems Expertise: You have a working knowledge of HTTP REST endpoints and the ability to diagnose failures within API-driven environments. - Master Communicator: Fluent in English, with the ability to clearly translate complex technical concepts for executive stakeholders and business priorities for engineering teams—without anything getting lost in translation. How You’ll Stand Out: - Fluency in German is a strong plus, enabling close collaboration with teams and stakeholders across our Hamburg HQ and wider DACH region. - Familiarity with Java, Kotlin, or Swift, or personal experience building and deploying your own applications. - A deep understanding of the mobile ad tech landscape, including SDK integrations and current industry best practices. We welcome applications from people who will contribute to the diversity of our company.

Location: Berlin, Germany Workplace: hybrid At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a Founding Backend Engineer(Go) to join one of our clients ' team in Berlin. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you. Key Responsibilities: Develop and maintain backend applications using Go Design and optimize cloud-based solutions using AWS services (EC2, Lambda, S3, SQS, SNS, etc.) Design, use and manage databases, including PostgreSQL, Neo4J, Redis, and Elasticsearch Develop, manage, and optimize containerized applications using Docker Automate processes using Bash/Python scripting Optimize and maintain RESTful APIs, ensuring security and performance Work closely with frontend engineers, DevOps, and product team to deliver robust applications Monitor, debug, and improve backend performance, reliability, and scalability Implement caching, messaging queues, and event-driven architectures where needed Build whole platform from scratch 5+ years of GoLang experience Hands-on coding mentality; can build things from scratch and familiar with different architectures Hands-on experience with Docker, Kubernetes (EKS) and containerized workloads Experience designing RESTful and gRPC APIs and using frameworks like Gin Hands-on experience with messaging systems (e.g., SQS , Kafka ) Experience with CI/CD pipelines (GitHub Actions or similar) Experience operating PostgreSQL (RDS / Aurora), Neo4J(or similar) Experience with AI agents , LLM-based systems, MCP, RAG, Prompts, Embeddings, Vector, etc Experience with AI stack (AWS Bedrock, LangChain, pgvector or similar) Experience with Infrastructure as Code (Terraform) Experience with monitoring, logging, observability (Grafana, OpenTelemetry, Prometheus) Ability to troubleshoot production issues end to end Experience with Coding CoPilots (Claude Code, GitHub Copilot, AWS CodeWhisperer, Codex, etc.) Experience supporting production SaaS platforms Strong understanding of SaaS integrations and app-to-app permission flows High ownership mentality, startup mindset, and ability to move quickly Experience in startup or scale-up environments Low ego, high commitment, and a true tech startup mentality Strong problem-solving skills and ability to work in a collaborative environment Excellent English communication skills Nice-to-have requirements: Experience working with Java Ability to code in Python Experience with security architecture, identity security, or security engineering Familiarity with compliance frameworks (NIS2, DORA, ISO 27001, SOC 2) Experience with AWS in production environments Exposure to graph-based modeling (identity graph, access graph, risk graph) Familiarity with compliance frameworks (NIS2, DORA, ISO 27001, SOC 2) Understanding of OAuth/OIDC, API tokens, IdP, scopes, SSO, SCIM, roles, RBAC/ABAC, service accounts Familiarity with cloud identity and security controls (e.g. IAM, CloudTrail, Azure Active Directory / Entra ID ) Hands-on with SIEM platforms such as Splunk, Microsoft Sentinel, or IBM QRadar Experience designing permission models, identity graphs, or access control frameworks Knowledge of tokenization, Zero Trust principles , least privilege, and continuous verification Experience with Security related to AI/LLM systems, agent logic, or willingness to learn fast Familiarity with AI agent behavior , LLM security, or agent sandboxing Previous experience in cybersecurity , identity startups You are a fan of rock or metal music Excellent German communication skills Benefits: Founding Team Member Equity — ESOPs in a cybersecurity company Competitive Compensation — salary aligned with market, flexible early-stage arrangements possible Founding Team Member Status — shape the company from day one and own critical technical decisions Fresh Funding Secured — immediate runway to build, hire, and execute fast Security Contribution — contribute to security architecture across identity, AI agents, and enforcement High Autonomy — freedom to design and build without corporate overhead Work with a Technical CEO and CPTO — fast iteration, strong alignment, clear direction Cutting-Edge Domain — identity security, SaaS-to-SaaS access, AI agent governance Massive Learning Curve — quickly gain depth in cybersecurity, identity, and AI systems Fast Career Path — opportunity evolve into leadership as we scale the engineering team Berlin Location — top-tier tech environment with strong cybersecurity and AI ecosystems Direct Impact — your architecture and code become the foundation of the entire platform Best Equipment and Tools - High quality equipment and modern tools to help you do your best work from day one Team Offsites - Regular team offsites designed to build strong connections, alignment, and shared momentum

Задачи: — Разработка и поддержка real-time feature store на базе Apache Flink для ML-решений — Создание и масштабирование потоковых конвейеров обработки данных объемом в терабайты ежедневно — Обеспечение качества данных, валидации и мониторинга данных end-to-end — Поддержка низколатентных (<100ms p99) потоков данных для систем выбора рекламы и ценообразования — Тесное взаимодействие с командами Data Science, Backend и Infrastructure Требования: — Опыт построения и масштабирования инфраструктуры данных или потоковых систем в продакшене на значительном масштабе — Знание распределенных систем, событийно-ориентированных архитектур и высокопроизводительных потоковых конвейеров — Сильные навыки backend-разработки, особенно на Java — Практический опыт работы с Kafka, Flink или аналогичными технологиями потоковой обработки — Понимание взаимодействия продакшен-систем данных с ML-командами и влияния на производительность ML — Ориентация на создание инфраструктуры, обеспечивающей реальное время и интеллектуальные решения Условия: — Работа в Гамбурге в гибридном формате (3 дня в офисе) — Полная поддержка релокации и визовая поддержка для международных кандидатов — Зарплата в диапазоне 85-100 тыс. евро в год Технологический стек: Kafka, Apache Flink, Go, Java, AWS (S3, DynamoDB), Redis, Druid, Kubernetes, Terraform, Airflow, Prometheus, Grafana, ELK

Задачи: ▫️ Оценивать устаревшие приложения полностью: архитектура, зависимости, инфраструктура, риски — с помощью AI-инструментов анализа ▫️ Определять стратегию миграции для каждого приложения с учётом характеристик, ограничений и бизнес-ценности ▫️ Выполнять полную модернизацию: обновление фреймворков, миграция зависимостей, контейнеризация, настройка CI/CD пайплайна ▫️ Развёртывать на целевых платформах — облачные сервисы или оптимизированные on-prem решения ▫️ Формировать практику модернизации: создавать шаблоны, паттерны и делиться опытом для ускорения следующих миграций ▫️ Сотрудничать с командами, владеющими устаревшими системами Требования: ▫️ Сильные знания Java и Spring (7+ лет) ▫️ Практический опыт модернизации корпоративных приложений с устаревших платформ на современные ▫️ Широкие знания инфраструктуры ▫️ Знания корпоративного middleware и инфраструктуры данных ▫️ Готовность работать с AI-инструментами (Agentic AI, LLM) ▫️ Опыт работы в крупных организациях с большими системами, управлением изменениями и требованиями соответствия ▫️ Отличное владение английским языком (письменно и устно) ▫️ Высшее образование в области компьютерных наук, программной инженерии или смежных технических областях Плюсом будет: ▫️ Опыт с другими JVM или не-JVM backend технологиями (.NET, Python, C++) ▫️ Опыт использования AI/LLM инструментов для анализа кода, миграции или масштабного рефакторинга ▫️ Опыт в финансовом секторе, рынках капитала или финтехе ▫️ Опыт развертывания Kubernetes (EKS, Helm, ArgoCD) ▫️ Знание паттернов миграции в облако (lift-and-shift, strangler fig, blue-green, миграция баз данных) ▫️ Владение корпоративными инструментами ServiceNow, Confluence, Jira Условия: ▫️ Гибкий формат работы: удалёнка из указанных стран или гибрид ▫️ Полное медицинское страхование для сотрудников в Польше и на Кипре ▫️ 50% покрытие медицинского страхования для супругов и детей в Польше и на Кипре ▫️ 24 дня оплачиваемого отпуска ▫️ 10 дней оплачиваемого больничного ▫️ 50% компенсация профессионального обучения, конференций ▫️ Поддержка при релокации в Польшу или на Кипр: билеты, аренда жилья на первый месяц, помощь с визами и разрешениями ▫️ Работа с профессиональной командой и корпоративные мероприятия

Location: Remote, Germany, EMEA From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran is building data pipelines to power the modern data stack for thousands of companies. We’re looking for a talented German speaking Senior Sales Engineer to join our Enterprise sales team. As an Enterprise Sales Engineer, you will work closely with our sales team to understand our Enterprise customers’ complex business needs and showcase how Fivetran’s data replication solutions can help them achieve their desired business outcomes. You will be responsible for providing technical expertise, identifying technical requirements, and ensuring a successful proof-of value throughout the sales cycle. This is a full-time remote position based in Germany, with preference for Munich. Technologies You’ll Use AWS, GCP, Azure, Snowflake, BigQuery, Databricks, New Relic, Linux, Windows, Python, Java What You’ll Do Work with Enterprise customers to understand their business, their use cases, and their data replication requirements Develop and deliver technical presentations to Enterprise audiences Ensure the technical win by running an organized proof-of-value process Work closely with multiple cross-fuctional organizations driving change and improvements to Fivetran as a whole. Work closely with multiple Sales representatives, while maintaining a high level of customer focus and technical excellence Stay up-to-date on the latest technologies and trends in our industry Assist team members in advanced technical or business roadblocks Skills We’re Looking For Native/Professional Proficiency in German 5+ years in data replication, sales engineering, or related technical field Strong technical background covering database replication, cloud infrastructure, and data replication technologies with some form of hands on experience Experience with modern data analytics technologies, including cloud data warehouses, transformation tooling, data catalogs, and BI tools Excellent communication and presentation skills with a keen ability to explain complex technical concepts to both technical and non-technical stakeholders Strong problem-solving and analytical skills Experience with Oracle, SQL Server, Postgres, MySQL, and NoSQL databases Hands on experience with other data replication or ETL tools Experience with self-hosted software applications and supporting infrastructure Hands on networking experience both in the cloud and on-premise Bonus Skills​ Experience developing partner relationships Specialized expertise in security posture Experience with self-hosted and SaaS software applications Hands on experience with DBT Docker/Podman/Kubernetes experience #LI-LA1 #LI-REMOTE Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Manila, Philippines Workplace: hybrid At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a Software Solutions Engineer to join one of our clients ' teams. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you. As a Software Solutions Engineer, you play an important role in the Innovation team, helping to scout, validate and fast-track new ideas that can shape the next generation of the BankWorks platform. The role is ideal for a curious, hands-on and solution-oriented personality who enjoys experimenting with new technologies, building prototypes and working closely with technical, product and operational teams. Responsibilities: ● Analyse technology trends in payments/fin-tech industry and adjacent sectors, maintaining up-to-date knowledge of technological developments. ● Convert rough concepts into PoC/MVP implementations, adhering to deadlines. ● Participate in and seek to continuously improve the software life cycle phases, focusing on designing, coding, documenting, testing and support ● Produce concise design notes, demo scripts, and handover documentation for smooth transition to other teams ● Collaborate effectively in cross-functional teams through pairing, brainstorming sessions, and knowledge sharing to meet defined objectives ● Contribute to and maintain the team's internal knowledge-base ● Ensure a high quality/standard of work and service throughout ● Communicate effectively and professionally with internal and external customers ● Perform other duties which may be assigned from time to time ● May be required to work extended hours to meet deadlines and/or be on-call ● Follow all company policies and procedures ● Diploma or Bachelor’s degree in ICT or related professional qualifications ● Solid understanding of the software development life cycle and agile/lean methodologies ● A strong sense of curiosity and willingness to learn new technologies ● Comfortable working in ambiguous, iterative, and exploratory settings ● Strong analytical reasoning, organizational and time-management skills with ability to prioritize tasks and meet deadlines under pressure. ● Be proficient in software development, with ability to use more than one of the following development languages: -Front-end: Java, Javascript, SQL -Back-end: Java, PL/SQL -Real-time: C/C++, PL/SQL, Lua ● Have good knowledge of the following relational database management systems -Oracle, PostgreSQL, MySQL ● Bonus points for experience or exposure to: o Modern software architecture patterns (microservices, RESTful services) o High-volume data streaming technologies (Kafka, RabbitMQ) o Scripting languages (e.g., Ruby, Python, Bash) o DevOps tools (e.g., Git, Jenkins) o Containerisation and cloud environments (Docker, Kubernetes) ● Able to work effectively in a collaborative team environment ● Meticulous, methodical and accurate in the completion of tasks ● Strong communication and writing skills in English ● Willing to work extended hours and be on-call when required ● Experience in writing software for the financial and/or payment industry is preferred

Location: Hamburg adjoe builds the technologies behind mobile apps growth and monetization. With our core product Playtime Arcade, we've become the global leader in rewarded advertising, an ad unit built on a simple premise: users earn real in-app rewards for engaging with new apps. The result is one of the most effective value exchanges in adtech, connecting advertisers and publishers with over 770 million users annually. Architecting Intelligence to Optimize 200M+ Daily Decisions As the intelligence core of our engineering organization, our Data Science team doesn't just deploy models, we engineer the fundamental decision engine that powers our platform. At a scale of 770 million users and 100,000+ predictions per second, we are solving a multi-objective optimization problem that balances user incentives, advertiser ROI, and long-term platform health in real time.  Our architecture is built on a 1PB+ behavioral data lake, providing the high-fidelity input necessary to train deep learning models that predict individual user engagement with precision. We aren't just optimizing clicks, we are dynamically calculating optimal reward structures to sustain a global value exchange.  Engineered for performance, our stack leverages Tensorflow and PyTorch for model training, NVIDIA Triton to achieve sub-100ms inference. We own the full ML lifecycle from high-level research and feature engineering to deployment and A/B experimentation. Here, you will find the autonomy, the data depth, and the massive scale required to solve the most complex optimization challenges in the adtech ecosystem. The data infrastructure behind this runs at real scale: 2TB ingested in real time every day, 100+ Airflow jobs and data pipelines, and ML models handling p99 latency of 100ms across 100,000+ predictions per second. As a Data Engineer on this team – you'll be building and maintaining the infrastructure that makes them possible: the Feature Store, the data pipelines, the data quality systems, and the data architecture that data scientists depend on to move fast. Your Mission & Who We Are Looking For: - Data engineering at ML scale. You have 5+ years in data engineering on a modern stack, with proven experience handling systems that process several TB of data per day and thousands of events per second.  - Flink is your default for real-time. You have hands-on experience with Apache Flink for stateful stream processing and real-time feature computation. You'll translate Data Science requirements into high-performance streams, enable Data Scientists to contribute new features and implement features yourself when needed.. - Pipeline bottlenecks don't survive long around you. You know how to identify and eliminate inefficiencies in complex ETL jobs, whether handling high-volume batch processing or real-time streaming systems like Kafka. At adjoe, data velocity is critical: slow pipelines directly impact model freshness and prediction quality at sub-100ms inference. - You think in layers, not tables. You move beyond raw data to design robust, multi-layered data architectures using dbt, and can reason confidently about storage formats, Data Lakehouse models, and what belongs where in a 1PB+ data lake. Familiarity with Medallion Architecture is a strong plus. - The bridge between Data Science and Backend. You've worked closely with Data Scientists on online ML systems with low latency requirements, and understand what it takes to make experimental research production-ready. Strong Java required; Go or Python a plus. - Owns quality, not just delivery. You implement data validation, monitoring, and governance processes in production, because in a system where model inputs directly drive advertiser ROI, data integrity isn't optional. Experience with Airflow, Kubeflow, AWS, Terraform, and Kubernetes is a strong plus.  🌎 We welcome applications from talent worldwide and provide relocation support to Hamburg, Germany for those ready to join our team.  What’s in It for You? At adjoe, you’re not here to just close JIRA tickets, you’re helping build the infrastructure behind one of the most impactful platforms in adtech. The systems you work on will reach hundreds of millions of users and power billions of decisions every day. - Go Big. Own projects with impact on 770M users and push adtech boundaries. - Move Fast. Ship solutions multiple times a day, learn from results, and keep momentum. - Be Direct. Solve problems openly and collaborate across teams. - Thrive Together. Grow with a diverse, global team of people from over 40 different countries that learn from each other.   - Have Fun. Celebrate wins, enjoy daily victories, and bring your energy. We welcome applications from people who will contribute to the diversity of our company.

Задачи: — Писать высококачественный, производительный код преимущественно на Go. — Реализовывать новые микросервисы и управлять миграцией с устаревшего Ruby монолита. — Сотрудничать с менеджерами продуктов, дизайнерами и дата-сайентистами для преобразования требований в технические решения. — Оптимизировать системы для низкой задержки и высокой надежности при большой нагрузке. Требования: — Опыт разработки масштабируемых backend-сервисов от 3 лет (5+ для senior). — Сильные инженерные основы, владение Go, Python, C++, Java или Ruby. — Глубокие знания PostgreSQL, MongoDB, Redis и брокеров сообщений RabbitMQ или Kafka. — Минимум год практического опыта с задачами, связанными с картографией (геопространственные данные, сопоставление с картой, алгоритмы маршрутизации). — Проживание или готовность к переезду в Лондон, Великобритания. Плюсы: — Опыт работы с движками маршрутизации OSRM и OpenStreetMap. — Владение C++. — Интуиция по реальным навигационным кейсам (дрейф GPS, перерасчет маршрутов). Условия: — Офис в Западном Лондоне с гибким началом и окончанием рабочего дня. — Опционы на акции компании и бюджет на профессиональное развитие. — Частная медицинская и стоматологическая страховка, страхование жизни и критических заболеваний. — Современный MacBook Pro и 4k монитор. — Поддержка при переезде, включая спонсорство визы и компенсацию расходов. Процесс найма: — Скрининг рекрутером. — Задачи по алгоритмам и кодинг вживую. — Проектирование системы и структурированный обзор опыта (для senior+).

Задачи: • Ручное и авто тестирование в соотношении 70 на 30 (frontend и backend 70/30 соответственно), тестирование хранилищ данных - сначала ручного будет 90/10 к авто; • Тестирование документации; • Составление и актуализация тестовой документации; • Поддержка и развитие автотестов Стек: Front: JS+React Back: Python БД: Postgre Требования: • Опыт работы более 4х лет; • Опыт в финтехе/инвестициях; • Опыт работы по Agile (Kanban, Scrum); • Опыт разработки автотестов; • Уверенные знания видов тестирования; • Практический опыт применения техник тест-дизайна; • Практический опыт тестирования frontend и backend; опыт тестирования backend критичен; • Опыт практического использования PyTest, Playwright, Requests; • Практический опыт тестирования интеграций; • Опыт автоматизированного тестирования на Python; • Практический опыт работы с Postman и снифферами (продвинутый уровень); • Навыки работы с TMS-системами, GitLab, Jira (или аналоги), SQL, DevTools; • Базовые навыки разработки автотестов на Python (REST/UI) или знание Java core; • Опыт тестирования микросервисной архитектуры Будет плюсом: - Опыт в финтехе/инвестициях на последнем месте; - Опыт внедрения автоматизации с нуля;

Location: Stockholm ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: We’re looking for an Engineering Manager to lead a group of highly experienced engineers. This is a hands-on leadership role where you’ll spend roughly half your time on technical contribution and half on people management, depending on the need. You’ll work closely with the team to set direction, remove blockers, and foster a strong engineering culture as they tackle complex systems challenges in distributed computing, large-scale data handling, and performance optimization. YOU MAY BE A FIT IF: - You have at least 10 years of industry experience, including 3 years in a leadership role - You’ve built high-performance distributed systems at a large scale - You have a strong background in cloud infrastructure - You have strong knowledge of low-level operating system foundations (Linux kernel, file systems, containers, etc.) - You’re proficient in systems-level languages such as Rust, C, C++, or Java - You’re an experienced engineering leader who thrives close to the work and enjoys building alongside your team when needed - You earn trust through technical depth, communicate with clarity, and help great engineers move fast and make sound decisions - You thrive in a fast-paced environment and are pragmatic, calm under pressure, and focused on impact

Location: Hong Kong, Hong Kong SAR; Singapore, Singapore 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 The Compliance team's primary objective is to ensure that OKX operates in accordance with regulatory requirements while maintaining the highest ethical and moral standards. The team owns the full compliance engineering stack: KYC onboarding and refresh, sanctions / PEP / adverse-media screening, transaction monitoring (TM) and travel-rule enforcement, case management, and regulatory reporting. We achieve this by developing compliance service solutions, integrating with KYC & AML vendors, and enabling robust business growth, which ultimately strengthens user trust in our platform. Our ultimate goal is to create a culture of compliance excellence, where innovation and responsible business practices are seamlessly integrated. In compliance, a system that is mostly right is wrong — so every control we build must be deterministic in its enforcement, complete in its coverage, and explainable in its outcome. What You’ll Be Doing Formulate, select, and develop technical schemes for platform projects across the compliance domain — KYC onboarding flows, identity verification and refresh, sanctions / PEP / adverse-media screening, transaction monitoring, travel-rule, case management, and regulatory reporting — including AI/ML-powered features such as intelligent screening disambiguation, document verification, anomaly detection, automated risk scoring, and analyst-assist agents. Organize and coordinate resources, leading project research and development, troubleshoot problems, and ensure quality and timely completion — including delivery of AI model integration work within KYC, screening, and monitoring workflows. Facilitate cross-team communication and promote teamwork efficiency through code quality control and collaboration, including partnering with Data Science, Risk, and Legal to productionize models and ensure reliable, auditable inference infrastructure. Define where probabilistic AI is appropriate versus where deterministic logic is mandatory — and design the boundary cleanly so models assist without compromising auditability or enforcement integrity. Undertake team tasks and cultivate technical talents in the industry, with a focus on building AI engineering best practices across the compliance engineering team — patterns for agentic coding, prompt libraries, eval suites, and human-in-the-loop review of AI-generated work in a regulated environment. What We Look For In You A compliance-first systems mindset — you instinctively reach for state machines, idempotency keys, exactly-once semantics, reconciliation jobs and immutable audit logs. You understand that in compliance, false negatives cost millions and false positives cost trust, and you design accordingly. Prior experience in KYC, AML, sanctions, fraud, or payments is a strong plus; experience surviving a regulatory audit is an even stronger plus. Daily, fluent use of modern AI coding tools — Claude Code, Cursor, GitHub Copilot, Codex CLI, or equivalents. You can describe the specific workflows you run, the failure modes you have hit, and the guardrails you have built around AI-generated code. AI fluency is required, not nice-to-have. Production experience integrating AI/ML model inference into Java services — REST/gRPC-based model serving, feature engineering pipelines, latency-sensitive inference optimization, graceful degradation, and drift / rollback playbooks. Hands-on experience with LLM application patterns — at least one of: RAG pipelines (vector store + retrieval + grounding) for policy / KYC / case lookup, agentic workflows (tool use, multi-step reasoning, validation loops) for analyst assistance, or LLM-based classification / extraction shipped to production. Discipline around AI output — you do not ship LLM features without evals, hallucination tests, prompt regression suites, and human-in-the-loop review for high-stakes decisions. You have an opinion on when to reach for a frontier model vs. a fine-tuned small model vs. a deterministic rule, and can defend that trade-off to a regulator. Exposure to LLM integration or AI agent frameworks is a strong plus — e.g. prompt engineering at the system level, RAG pipelines, or orchestrating AI workflows within a regulated environment. Good understanding of software engineering basics, distributed system principles, including CAP, consistency, idempotency, and exactly-once vs at-least-once semantics. Clear logic, quick thinking, and good communication skills — including the ability to write clearly for non-engineers (compliance officers, auditors, regulators). AI Proficiency Expectations & Interview Process AI fluency is a required engineering competency for this role, on the same level as ‘can write good Java’. We will assess it explicitly during the interview, and a strong showing here is a meaningful plus: AI-augmented workflow demo — walk us through how you use AI tools day-to-day. The prompts, the tasks you delegate to an agent vs. write yourself, how you review AI-generated diffs, and how you measure the impact (commit velocity, defect rate, test coverage). Concrete examples beat slogans. Live agentic exercise — a working session using the AI coding agent of your choice on a realistic compliance-flavoured problem. We look at how you scope, prompt, validate, and integrate AI output, not whether the agent gets it right first try. Design discussion with a probabilistic twist — expect at least one system-design question where the right answer involves deciding when not to use an LLM, and how to design the deterministic fallback. We hire engineers who can defend that boundary. Evaluation & guardrails — be ready to discuss an eval suite or guardrail you have built for an AI feature in production (e.g. an LLM-assisted SAR narrative drafting tool, an AI-assisted KYC document review step, or screening-hit disambiguation). If you have not shipped one, tell us how you would design it. Perks & Benefits Competitive total compensation package L&D programs and education subsidy for employees' growth and development — including budget for AI tools, courses, and conferences 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: Bengaluru, Karnataka, India, APAC From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran is looking for a high-performance, experienced engineer to be a part of a team of Site Reliability Engineers. You will be working closely with engineering teams, product managers, as well as support and sales engineers to build the future of the Fivetran Data Platform Reliability. As a member of the Site  Reliability Engineering team, you will take ownership of the overall performance and reliability of Fivetran’s infrastructure, the robustness of the deployment pipeline, as well as timely and effective incident response and resolution. You will take responsibility for the growth and stability of Fivetran’s infrastructure, and be a key player driving effective incident response and overall issue avoidance. Technologies You’ll Use Working knowledge of managed Kubernetes (EKS, AKS and GKE) Knowledge of Cloud Platforms and related tooling: AWS, Azure, GCP, Terraform, Ansible, Buildkite, Pulumi and ArgoCD Experience in Python/Shell scripting. Bonus if you have Java, GO, etc Experience with Linux operating systems internals and administration Experience with cloud networking like VPNs, Privatelinks, and Private Service connect (GCP) Experience with databases such as PostgreSQL What You’ll Do Responsible for ongoing reliability and robustness of Fivetran’s production infrastructure by monitoring availability, capacity, and throughput. Evolve systems by adding reliability into our product roadmap Coordinate the re-prioritize or fix critical bugs for support or sales requirements as needed Make recommendations to production infrastructure by interfacing with engineering to ensure 100% availability Ensure scalable artifacts deployment to all environments by automation scripts Constantly monitor infrastructure vulnerabilities and remedy them by working with the security team Skills We’re Looking For 9+  years of  experience working with SaaS products at scale. Working knowledge of managed Kubernetes (EKS, AKS and GKE). Knowledge of Cloud Platforms and related tooling: AWS, Azure, Google Cloud (GCP), Terraform, Ansible, Buildkite, Pulumi and ArgoCD. Experience in Python/Shell scripting and Go Language. Bonus if you have Java. Experience with Linux operating systems internals and administration Experience with cloud networking like Site-to-Site VPNs, Privatelinks and Private Service connect (GCP) # LI-HYBRID #LI-AV1 Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.