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Location: US, Remote Workplace: Remote The Luxor team has built a range of solutions for compute power, including a mining pool, custom firmware, an ASIC brokerage desk, Hashrate derivatives and compute to power CI and agents. We service clients across the globe. Our client base is growing rapidly and as such we are looking to expand our platform engineering team. We're looking for a Senior Platform Security Engineer with strong expertise in security and compliance. You'll join Luxor AI's Platform team and own the entire area of security and compliance within the team's scope, contributing to building and running production infrastructure. This role is ideal for someone who has experienced how security and compliance operate within a large organization and now seeks the autonomy to evolve that function at a fast-growing startup. It will suit an individual energized by the importance of the data we protect and the reliability we provide to our clients. This role will report directly to the Chief Technology Officer. This is a fully remote role based in U.S.A. with seldom travel if needed. RESPONSIBILITIES - Serve as a day-to-day security advisor for the team you support, advocating security requirements as an engineering team member during sprint planning, architecture reviews, process discussions, product direction, design decisions, and while work is in flight - Build and maintain centralized automated security testing and enforcement in CI/CD, including static and dynamic application security testing (SAST/DAST), software composition analysis (SCA), secrets scanning, and infrastructure-as-code (IaC) scanning - Manage centralized cloud monitoring tooling for vulnerability and configuration management, and integrate ongoing patching and hardening into engineering operations - Continually audit application environments and development processes to ensure compliance with internal and external requirements, and alignment with security standard methodologies - Implement and maintain cloud detection and response monitoring, and act as an incident CIRT responder - Document controls, configurations, and decisions to build durable institutional knowledge - Enforce policies and detection using device management tooling (e.g. FleetMDM) REQUIREMENTS - Bachelor's degree in Computer Science, Information Technology, Cybersecurity, or equivalent practical experience - 8+ years of experience in DevOps, software engineering, or security engineering - Proficiency with CI/CD platforms (e.g. GitHub Actions), infrastructure as code tools (e.g.,Terraform), and configuration management (e.g. Ansible) - Proficiency in at least two of the following languages: Go, JavaScript, Rust, Python - Hands-on cloud security experience in GCP, Alibaba, AWS, OVH, Hetzner and/or Azure, including identity and access management, containerization, network security controls, encryption, logging, and monitoring - Harden access and controls (e.g. IAM Policy) - Hands-on experience with Kubernetes GitOps (e.g. Flux, ArgoCD) - Demonstrated experience implementing automated application and infrastructure security testing, secrets management, and policy-as-code enforcement - Familiarity with penetration testing applications or experience conducting penetration testing engagements - Strong scripting skills in Python, or Bash for automation and integration - Experience supporting third-party attestations and audits (e.g., SOC 2 Type 2, ISO 27001), including preparation, implementation, and ongoing evidence collection - Operated and maintained Zero Trust network infrastructures using Tailscale and Cloudflare WARP, providing direct technical support to users while managing access policies and troubleshooting remote connectivity issues. - Deployed, configured, and administered SIEM (Security Information and Event Management). - Strong communication and governance skills, with the ability to translate technical risk into business terms for technical and non-technical audiences, and to advocate for security without slowing down delivery At Luxor we believe that meaningful contributions can be made by anyone. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Luxor welcomes all! Luxor does not accept unsolicited headhunter and agency resumes. Luxor will not pay any third-party agency or company that does not have a signed agreement with Luxor. HOW WE USE AI IN OUR HIRING PROCESS We use AI tools to support certain parts of our hiring process, and we believe in being transparent about how they’re used. During your application, AI may assist in reviewing CVs, qualifications, and assignments by providing additional insights, but it does not make decisions, every application is evaluated at each step by a member of our hiring team. We also use AI to transcribe interviews so our team can stay focused on the conversation rather than note-taking. Any voice recordings are automatically deleted within 15 days. In addition, AI helps us keep candidates informed about their application status and helps us understand how our process is working so we can improve it over time. In all cases, AI is used to support efficiency and consistency, not to replace human judgment. If you have any questions about how we use these tools or your data, or if you would prefer to opt out of any of these features, please include them in the dedicated section of the application form, and we’ll follow up accordingly.

Location: Latvia OUR HIRING PROCESS: We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment. We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team. At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team. From there on, it’s decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live. INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy We're looking for Senior AI Engineers to design, build and run LLM-powered agents and AI features in production. You'll work across the full lifecycle: from scoping a use case with stakeholders, through architecture and development, to deployment, evaluation and ongoing improvement. This is a hands-on role for engineers who think like product owners: you understand the business problem, define what success looks like in numbers, ship to real users, and own the result after launch. Our stack: Python and TypeScript/Node.js, PostgreSQL, Kafka, Docker, GitHub Actions, AWS. We run multiple LLM providers (Anthropic, OpenAI, Google, AWS Bedrock and others) behind a shared LLM gateway, with MCP for tool access. We work AI-native: agentic coding tools are part of how engineering gets done here, and we provide official Anthropic Claude certification for our engineers. As part of our team, your responsibilities in this role will include: Design and build LLM agents and agentic workflows: tool use via MCP, structured outputs, retrieval (RAG), multi-step orchestration, human review steps where needed. Build and maintain MCP servers and tool layers that give agents governed access to company data and systems. Own quality and cost: evals and golden sets, per-agent telemetry (tokens, cost, latency, accuracy), prompt and model versioning, provider failover and model routing. Ship through CI/CD like any other production service: tests and evals in the pipeline, containerized deploys, monitoring, rollbacks. Contribute to shared platform pieces: the agent template, the LLM gateway, observability. Work directly with business stakeholders to scope, prioritize and validate use cases. Push back when something doesn't need an agent. Use AI coding tools daily. Claude Code is our default; deep experience with a comparable agentic tool also works. You drive the tool, verify its output and catch its mistakes. Our ideal candidate possesses the following skills: 5+ years of software engineering experience, with production systems you've designed, shipped and supported. Proven experience building LLM-based agents or agentic workflows that reached production with real users. Hands-on experience with agent frameworks and SDKs: Claude Agent SDK, Claude Managed Agents, Pydantic AI, LangGraph or similar. You can also explain what you'd build without one. Hands-on experience with MCP and RAG: you've built MCP servers or equivalent tool layers, and retrieval pipelines over real, messy data. Experience with multiple LLM providers and with AWS Bedrock: model selection, routing, fallbacks, cost and rate-limit management. Strong Python and SQL. Comfortable in TypeScript/Node.js. Solid production engineering on AWS: Docker, CI/CD, testing, observability. Product thinking and business focus: you start from the problem and its cost, define success in measurable terms, and own outcomes. Daily use of agentic coding tools (Claude Code, Codex, Cursor or similar), with the judgment to verify what they produce. Clear communication with technical and non-technical stakeholders, in English. Nice to have: LLM observability or gateway tooling (Langfuse, LiteLLM, OpenTelemetry for LLM traces or similar). B2B contact and company data: enrichment, deduplication, matching. Cloud operations or FinOps: monitoring, incident handling, cost management. Event-driven or workflow-engine experience (Kafka, Temporal or similar). Experience replacing no-code or workflow-tool automations with production code. What we offer: Fully remote work format; A collaborative and creative environment that values initiative and experimentation; Paid time off and sick leave; Reduced working hours on Fridays during the summer; Days-off on US national holidays + your birthday; Schedule: 14 PM - 23 PM EEST (Kyiv time).

Location: Remote Canada At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. About the InfoSec team The InfoSec team protects Affirm’s systems and data from evolving threats. We manage security risk, monitor vulnerabilities, and enforce protective controls across the company. The team leads incident response, compliance, identity and access management, and employee training. Our goal is to ensure that security is built into every system and decision at Affirm. We maintain a secure, trustworthy environment so the business can operate and grow with confidence. About the role We are building the next generation of enterprise Identity and Access Management at Affirm. This role combines hands-on IAM operations, automation, and production software engineering to make identity services more reliable, scalable, and easier to operate. You will help run core access lifecycle processes, troubleshoot production issues, and automate repetitive work. You will also build and maintain backend services, APIs, and integrations that connect identity platforms with internal systems. Software engineering is a must-have. You will work primarily with SailPoint and enterprise identity integrations, with CIAM-adjacent Auth0 work where enterprise systems intersect with customer identity. This is a strong opportunity for an engineer who wants to develop deep IAM expertise without stepping away from hands-on coding. What you’ll do Run and improve IAM operations, including access lifecycle work, requests, certifications, and issue resolution Automate repetitive processes with scripts, services, and workflow improvements Build and maintain production backend software, APIs, tests, and integrations Connect SailPoint and workforce identity events with internal systems Build a paved path that enables Affirm employees to create modern internal tools with Auth0 Partner with Security, IT, and Engineering on secure, auditable changes Maintain runbooks, operational metrics, and escalation support Example problems you may work on: Fixing a provisioning workflow and adding monitoring or retries Reconciling access between source systems and SailPoint Building an API integration for identity lifecycle events Creating reusable Auth0 patterns, tooling, and documentation for internal applications What we look for 2+ years of software engineering experience or equivalent internship/co-op experience with strong projects Ability to write, test, and operate production-quality backend code in Python or a similar language Strong foundations in APIs, debugging, logging, error handling, and distributed systems Experience with GitHub, CI/CD, testing, and code review Comfort owning operational work and troubleshooting production issues Familiarity with cloud environments; AWS preferred Strong written communication and documentation skills Nice to Have Exposure to IAM, IGA, SSO, SAML, OIDC, SCIM, RBAC, or identity governance Experience with SailPoint, Auth0, Okta, OneLogin, or similar platforms Experience with Terraform or other infrastructure-as-code tools Familiarity with audit or compliance environments Base Pay Grade - L Equity Grade - Canada 5 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company). CAN base pay range per year: $133,000 - $183,000 $CAD. This remote role is open only to candidates residing in Alberta, British Columbia, Manitoba, New Brunswick, Newfoundland and Labrador, Nova Scotia, Ontario, Prince Edward Island, or Saskatchewan. #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Location: Boston, Massachusetts, United States We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. Job Overview The Quality Management Office (QMO) is responsible for the quality benchmark that every Hasbro project adheres to — covering requirements through closure — across AI, automation, manual, performance, security, and compatibility testing. The team is transitioning from manual and legacy scripted automation to AI-enhanced testing, involving a move to Playwright and embracing Tosca's agentic AI features. We're hiring a Lead QA Engineer to lead our transition to AI-enhanced test automation. This is a technical leadership role without formal direct reports. You will develop the automation strategy and directly guide the daily automation and AI efforts of our offshore vendor team. You will advise the technical aspects of our Selenium-to-Playwright migration, the integration of Tosca's AI/agentic features, and test coverage across SAP, Product to Market (P2M), and Hasbro Contract Lifecycle Management (CLM) (which is migrating to AWS). You'll help shape the future of our QA processes, and we welcome applicants whose experience comes from a range of backgrounds and paths. Location and Work Arrangement This role is based at our Boston, Massachusetts office and follows a hybrid schedule designed to support in-person collaboration. Employees are expected to work onsite on Tuesdays, Wednesdays, and Thursdays, with the flexibility to work remotely or onsite on Mondays and Fridays. What You'll Do Develop and lead the technical strategy for AI-enhanced test automation. This reduces dependence on manually written scripts by adopting AI and agentic automation methods, such as Tosca's agentic AI capabilities. Lead the migration of automation suites from Selenium to Playwright, including framework architecture and standard methodologies. Manage the daily automation and AI-related activities of our offshore vendor team, determining priorities and evaluating output quality — without formal people-management responsibility. Take ownership for test case management and regression/defect tracking methods in qTest, ensuring they grow alongside the team's automation-first approach. Collaborate with SAP and P2M functional teams to integrate automation coverage into their release cycles. Support QA needs for Hasbro Contract Lifecycle Management (CLM) through its migration to AWS, including planning test coverage on the new platform. Translate business and QA strategy into concrete implementation plans — proactively identifying risk and next steps rather than completing a fixed task list. Provide updates on automation progress, potential risks, and suggestions to QA leadership. What You'll Bring 6+ years of QA automation experience, including demonstrated lead-level ownership of automation strategy. Practical experience with Tricentis Tosca, including building, structuring and maintaining automation scripts Solid practical experience with Playwright, including firsthand involvement in transitioning automation suites from Selenium. Demonstrated experience applying AI-augmented automation approaches to reduce manual script authoring — not just traditional record-and-playback or hand-coded scripting. Experience with qTest for managing test cases and tracking regression/defects. Testing background across SAP and P2M platforms. Practical understanding of or direct experience with AWS services. Experience directing or closely coordinating the work of an offshore vendor QA/automation team. Demonstrated ability to turn business and test strategy into detailed action plans, proactively identifying risks and next steps. What Sets You Apart Experience with NeoLoad or a comparable performance testing tool. Familiarity with Azure (SharePoint Framework, Azure Functions) — Hasbro Contract Lifecycle Management (CLM)'s current platform ahead of its AWS migration. Exposure to Retail Management System (RMS) and CSP platforms. CI/CD pipeline experience (e.g., GitHub Actions, Azure DevOps, Jenkins). Scripting/programming proficiency in Selenium, JavaScript/TypeScript or Python. Experience with security and/or compatibility testing. Familiarity with Power BI or similar reporting/dashboard tools. Effective communication skills, including confidence in updating senior leadership on status and suggestions. Who We Are We’re a team of creators, storytellers, and innovators united under the Hasbro family and home to beloved brands, AAA digital games studios and immersive experiences that spark imagination across generations. Together, we’re committed to a culture rooted in creativity, excellence, curiosity, and inclusion, and where every employee is empowered to think boldly, act with integrity, and spark joy for all. Hasbro About the Company – Hasbro Wizards of the Coast Who We Are – Wizards of the Coast Equal Opportunity Hasbro is committed to equality of opportunity in all aspects of employment. We are committed to making all employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, or any other legally protected status. Accommodations If you have a disability and need reasonable accommodation during the hiring process, please inform your recruiter anytime throughout the process. Notice Regarding Hasbro’s use of AI in the Recruitment Process We use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements. How it works: Talent Matching compares information from your resume and application responses with job-related criteria established and weighted by Hasbro’s recruiting and hiring teams. Depending on the role, these criteria may include relevant skills, work experience, prior job titles, and industry experience. The tool then assigns a match category to help organize applications for review. Human oversight: Talent Matching supports — but does not replace — human review. It does not automatically advance or reject candidates or make employment decisions. Hasbro’s recruiters and hiring managers review applications and remain responsible for all hiring decisions. Greenhouse has published the results of an independent bias audit of Talent Matching. View the Greenhouse Talent Matching audit results . The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package. Pay Range $124,800 — $187,300 USD Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include: Health & Wellness Time Off to Recharge Financial Well-being Life & Family Support Volunteer and Community Initiatives Learning & Development Exclusive Perks Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process.

Location: Intellias Meet your recruiter Yustyna Vozna yustyna.vozna@intellias.com https://www.linkedin.com... Vacancy details Software Engineering JavaScript Engineer (React) Senior Bulgaria, Croatia, Poland Remote APPLY NOW REFER A FRIEND Make retail great again through the power of technology! Intellias helps retailers provide consistent and customer-centric shopping experiences across all channels with disruptive retail tech solutions. Get on board and make your own contribution to the industry! What project we have for you With great experience come great projects. Just imagine: you can develop a product that should completely change the business of one of the world’s largest companies! Our client is an innovative global company from the Fortune 500. Consumer Goods Producer and Retailer with headquarters in Switzerland that sells its products in 130 countries. Intellias mission is to support its strategy and efforts in the Digital and eCommerce space. A newly conceptualized Digital Eco System is comprised of a set of capabilities including an online shop & website, linking online & offline, customization & personalization, engagement & membership, digital products & services. What you will do Creating technical vision & documentation Participate in architecture and design efforts Code review, code optimization Technical tasks implementation, design, refactoring Collaborate with other engineering teams to resolve dependencies and deliver high-quality software on time, etc. What you need for this Own the design and delivery of reliable frontend features across the Next.js application and shared packages. Collaborate closely with product, design, backend, and QA teams while helping the team make technical decisions. Requirements Senior-level experience delivering production web applications, with 7+ years in frontend development. Strong experience with React, TypeScript, and modern Next.js, including App Router patterns and server/client rendering. Ability to design maintainable components and shared packages/APIs within a large monorepo. Experience integrating frontend applications with GraphQL and REST APIs, including generated types, loading and error states, and evolving backend contracts. Proficiency in responsive and accessible UI development using CSS Modules/SCSS, with the ability to work within an existing design system and follow design token conventions. Experience with frontend state management, such as Redux and React Context. Solid understanding of testing and quality practices, including Jest or Vitest, Testing Library, Storybook, and browser testing frameworks. Familiarity with monorepo tooling and CI quality gates, including linting, PR workflows, type checks, and builds. Strong debugging, code review, and written communication skills. Ability to take ownership of features through implementation, testing, release, and production follow-up. Experience using modern AI development tools to improve productivity, such as GitHub Copilot, Codex, or Claude Code. What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success. Skills English HTML/CSS React

- Построить надежный процесс подготовки тестовых окружений. - разработать Infrastructure as Code для тестовых окружений;

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 Opportunity We are looking for a high-ownership Mobile Engineer to join our team in Singapore. In this role, you will build, optimize, and scale consumer-facing mobile experiences that drive core growth across global markets—from acquisition and activation to trading conversion. We operate as an AI-native engineering team : we expect engineers to leverage modern agentic workflows (like Claude Code, Codex, and automated developer tooling) to build scalable features rapidly and craft next-generation engineering systems. While deep native Android proficiency is required, you will think holistically about the entire mobile lifecycle, taking end-to-end product ownership and collaborating across platform boundaries. What You'll Be Doing Drive Growth & User Experience: Design, build, and optimize high-impact mobile features focused on improving user acquisition, activation, trading conversion, and overall mobile user experience across global markets. Take End-to-End Ownership: Partner directly with Product Managers, Designers, Data Analysts, and Backend Engineers to define product requirements, tie technical execution directly to business metrics, and see features through from ideation to production impact. Pioneer AI-Native Workflows: Actively integrate modern AI engineering tools (e.g., Claude Code, Codex) into your daily routine. Help design and institutionalize automated, AI-powered development workflows, testing suites, and internal developer tooling beyond simple code generation. Shape Shared Mobile Architecture: Deliver robust native Android features while thinking beyond a single platform—contributing to shared mobile architectural standards, unified client-side design patterns, and cross-platform infrastructure. Iterate with Data & Rigor: Instrument robust event tracking, execute rigorous A/B experiments, analyze user behavior data, and iterate rapidly to drive sustained conversion improvements. Uphold Engineering Excellence: Write clean, modular, and resilient code. Maintain high standards for automated testing, performance tuning, crash-free session rates, and secure release governance. What We Look For In You Native Android Foundations: Solid software engineering fundamentals with production experience building, optimizing, and maintaining scalable native Android applications (Kotlin, modern Jetpack libraries, Clean Architecture). AI-Native Mindset: Active practitioner of modern AI coding assistants and agents (e.g., Claude Code, Codex, Cursor). A genuine drive to automate repetitive tasks and build AI-augmented developer workflows. Business & Product Ownership: Understanding user needs, business metrics, and taking end-to-end ownership of features and outcomes. Cross-Platform Vision: Ability to think beyond a single platform and contribute to shared mobile architecture. Experimentation & Execution: Hands-on experience or familiarity with mobile analytics, A/B testing methodologies, feature flagging, and rapid conversion optimization. Nice-To-Haves Experience in Fintech, Crypto, high-frequency trading platforms, or high-growth consumer apps. Experience maintaining or contributing to shared mobile frameworks, multiplatform architectures (e.g., Kotlin Multiplatform), or design systems. Experience building or maintaining modern mobile CI/CD pipelines (e.g., Fastlane, GitHub Actions, custom Gradle plugins). Proficiency in speaking, reading, and writing in both English and Mandarin to collaborate seamlessly with distributed product and engineering teams across global offices. 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! #LI-ML1 #LI-ONSITE 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: Shanghai, China Riot Games was established in 2006 by entrepreneurial gamers who believe that player-focused game development can result in great games. In 2009, Riot released its debut title League of Legends to critical and player acclaim. As the most played video game in the world, over 100 million play every month. Players form the foundation of our community and it’s for them that we continue to evolve and improve the League of Legends experience. We’re looking for humble but ambitious, razor-sharp professionals who can teach us a thing or two. We promise to return the favor. Like us, you take play seriously; you’re passionate about games. We embrace those who see things differently, aren’t afraid to experiment, and who have a healthy disregard for constraints. That's where you come in. About the Role As a Senior Software Engineer on the Unpublished R&D Product, you will own and evolve tools or CI/CD modules within a defined area. You will contribute to Unreal Engine tooling, build pipeline maintenance, and engineering productivity improvements. Working closely with Client, Gameplay, Technical Art, Art, and QA teams, you will turn production challenges into reliable, reusable tools and workflows. You will report into the Sr Manager, Software Engineering of the team. Responsibilities: Maintain and optimize CI/CD and build pipelines, supporting automated builds, testing, packaging, and release delivery. Maintain jobs, scripts, and configurations in Horde, BuildGraph, or similar systems to support development, testing, and release builds. Develop Unreal Editor tools, automation scripts, asset validation tools, and data processing utilities using C++, Python, and related technologies. Diagnose and resolve build, Cook, packaging, and environment dependency issues, while improving logging, alerting, and recovery mechanisms. Analyze build efficiency and manual operational steps, and drive the standardization of build, packaging, and testing workflows. Partner with Client, Gameplay, Technical Art, Art, and QA teams to support tool adoption, release execution, and issue resolution. Qualifications: 3+ years of experience in software engineering, game tools, build systems, or CI/CD development. Strong proficiency in either C++ or Python; experience reading or maintaining code in the other language is a plus. Experience with Unreal Engine project or tool development, including an understanding of UBT, UAT, and BuildGraph, as well as familiarity with Editor, Build, Cook, and Package workflows. Familiarity with one or more CI/CD pipeline or build orchestration systems, such as Jenkins, Horde, or GitHub Actions. Familiarity with Git, Perforce, or other version control systems. Understanding of the core processes involved in automated builds, automated testing, packaging, artifact management, and version releases. Ability to independently drive engineering tasks within a defined scope, with strong cross-functional collaboration and communication skills. Strong log analysis, troubleshooting, and cross-environment debugging skills. Desired Qualifications: Experience with UAT, UBT, Unreal automated testing, or smoke testing. Experience developing tools for asset validation, performance checks, Cook validation, or resource pipelines. Experience with multi-platform, multi-configuration, distributed, or cloud builds. A track record of improving build stability, reducing build times, or lowering the cost of manual operations. For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We will be looking at your past studies, experience, and your personal relationship with games. If you embody player empathy and care about players' experiences, this could be your role!

Location: Almaty, Kazakhstan; Astana, Kazakhstan; Belgrade, Serbia; Cluj-Napoca, Romania; Dnipro, Ukraine; Kharkiv, Ukraine; Krakow, Poland; Kyiv, Ukraine; Larnaca, Cyprus; Lodz, Poland; Lublin, Poland; Lviv, Ukraine; Odesa, Ukraine; Remote.BG, Bulgaria; Remote.GE, Georgia; Remote.KZ, Kazakhstan; Remote.PL, Poland; Riga, Latvia; Sofia, Bulgaria; Tbilisi, Georgia; Varna, Bulgaria; Warsaw, Poland; Wroclaw, Poland; Yerevan, Armenia We are looking for an experienced Senior Snowflake Data Engineer to support the migration of a high volume database and help shape reliable, maintainable data workflows in Snowflake. This initiative is centered on a large scale data platform migration from MySQL to Snowflake. The work includes end to end Snowflake architecture, resilient ingestion pipelines, and improved engineering practices such as CI and CD, testing, and version controlled SQL. Plan and contribute to the migration of data workloads from MySQL to Snowflake Design end to end Snowflake architecture for the target data platform Develop and rebuild ETL and ELT workflows for hundreds of complex sales file formats Build resilient ingestion pipelines for complex, messy, or irregular file formats Contribute to CI and CD, testing, and version controlled SQL practices for data workflows Support performance and cost optimisation across Snowflake workloads Collaborate with cross functional teams on migration, architecture, and delivery activities 3+ years of hands-on Snowflake engineering experience, including tables, stages, file formats, tasks, streams, and Snowflake SQL Hands-on experience with AWS Extensive hands-on experience working with Python Strong understanding of ELT and ETL pipeline design in a cloud data warehouse environment Proven experience migrating data workloads from relational databases such as MySQL or PostgreSQL to Snowflake or a similar platform Experience with data transformation frameworks such as DBT, Airflow, Airbyte, or equivalent Proficiency in SQL and at least one scripting language, with Python preferred Experience working with complex, messy, or irregular file formats and building resilient ingestion pipelines Solid understanding of CI and CD for data workflows using GitHub Actions, GitLab CI, or similar tools Familiarity with data modelling best practices such as Kimball, Data Vault, or staging refined gold patterns

О компании ООО «ИНГРАД Проект» — проектная организация полного цикла, с 2012 года создающая архитектурные и инженерные решения для премиальных жилых комплексов бизнес-класса в Москве. Среди заказчиков — MR Group, ФСК, Pioneer, Гранель. Компания — лауреат и дипломант конкурса «Зодчество», обладает статусом BIM-лидера России, BIM-отдел насчитывает 25 специалистов. Задачи: — Самостоятельная разработка frontend с проектированием frontend system design: продумывать структуру компонентов, модель состояния, работу с API и масштабируемость решений до начала разработки. — Полное ведение функциональности от идеи до merge. Требования: — Уверенное владение TypeScript/JavaScript, React, React Router. — Опыт работы с TanStack Query/React Query, React Hook Form. — Знание REST API, HTML/CSS, адаптивной верстки. — Владение Git, понимание SPA, управление client/server state. — Опыт с авторизацией и правами доступа. — Навыки написания unit, integration, e2e тестов. — Понимание производительности frontend-приложений, SSR. Будет плюсом: — Знание MUI, Tailwind CSS, GraphQL/Apollo, Vite/Webpack, Jest/Vitest, React Testing Library, Cypress/Playwright, Storybook, GitHub Actions, Docker, WebSocket/SSE. Условия: — Гибкое начало дня, возможность удалённого или гибридного формата работы. — Компенсация фитнеса. — Возможность работать из «южного офиса» у моря. — Доступ к корпоративным поездкам в Шерегеш и другим мероприятиям команды.

Location: Remote - Ontario, Canada (DNU) Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Staff Machine Learning Engineer on Twilio’s AI/ML Platform team. About the job We are actively recruiting for this role to fill an existing vacancy. This position is needed to build the foundational AI/ML capabilities and common platform tooling that power intelligent engagement experiences across Twilio. You will influence the design and evolution of our company-wide ML/AI Ops foundation, ensuring every AI capability incorporates rigorous offline and online evals to maintain exceptionally high quality. You will drive improvements to managing LLM workloads across the company, while ensuring easy and compliant access to data for AI/ML exploration and product development. This role requires a builder mindset to bridge theoretical research, production-grade experimentation, and scalable, enterprise-quality software. Responsibilities In this role, you’ll: Conduct deep-dive research into and implement state-of-the-art LLM inference and orchestration. Identify opportunities to leverage small language via fine-tuning/distillation. Build ML systems that hold up at Twilio scale. Set standards and tooling for building evals across a range of AI/ML capabilities. Rapidly acquire new technical skills and knowledge in a fast-paced, high-delivery environment. Proactively leverage and integrate the latest AI development stacks to bypass boilerplate engineering and focus on core differentiation. Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! *Required: 8+ years applied ML/AI experience with a track record of owning technically ambitious systems end to end rather than contributing to someone else's design. Comfort operating in a 0-to-1 setting with ambiguous requirements and a strong bias for action. Proficiency in Python programming language. Experience building cloud-based services on AWS, GCP, or Azure, with high-volume data, streaming or real-time inference paths, and a range of data stores. Strong fundamentals of statistical machine learning algorithms, transformer models, LLMs. Extensive experience with ML Ops and LLM Ops patterns, including designing and implementing rigorous evaluation metrics for non-deterministic AI features at scale. Strong communication skills and highly effective collaborator who works well with teammates. Familiarity with AI-assisted development tools (e.g., Claude, Codex, GitHub Copilot, Cursor, etc.). Desired: Prior experience building evals for autonomous agents and large language models. Prior experience building autonomous agents that handle multi-turn conversations and maintain long-term context/consistency. Prior experience working in a globally distributed team. Evidence of technical leadership/impact, such as contributions to open-source data/ML projects and/or published technical presentations, blog posts, papers, or research. Location This role will be remote and based in Ontario, British Columbia or Alberta, Canada. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Based on role, employees may also be eligible for additional compensation and benefits, including but not limited to incentive programs, commissions, equity grants, health and wellness benefits, retirement contributions, and paid time off. The estimated pay ranges for this role are as follows: $160,320 - $200,400 Target Bonus Percentage 12.5% The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Location: Almaty, Kazakhstan Workplace: onsite You’ll handle sourcing and engagement for active vacancies, build long-term talent pools, and support research on market trends and talent availability. You’ll also collaborate with recruitment, employer brand, and people & culture teams. This position is a good fit if you enjoy research, structured sourcing, and working in an international, fast-paced environment. Key Responsibilities Manage the sourcing and engagement activities to fill the active vacancies: define the sourcing strategy suitable for a specific search. source relevant candidates through the various sourcing channels. engage and pre-screen the relevant candidates. Participate in building and developing the internal database to make it more efficient in terms of quick and effective reaction to emerging hiring needs. Build and maintain talent networks and pools for the key roles and locations you support, with a focus on long-term growth. Participate in cross-functional projects with the recruitment, employer brand, and other people and culture teams. Participate in the research tasks regarding the talent availability, compensation expectations, market trends, and competitor hiring practices. Skills, Knowledge & Expertise 2+ years of experience as a talent sourcer or a tech recruiter, in-house or in an agency. Working experience with sourcing techniques: Boolean search, X-ray search, and natural language search. Good knowledge of the different resources: LinkedIn, GitHub, Stackoverflow, Twitter, and others. Strong communication skills, both verbal and written. English level - not less than upper-intermediate. Ability to work with a large amount of information and switch between tasks quickly. Curiosity and persistence in solving tasks. Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: Almaty, Kazakhstan Workplace: hybrid Delivery Hub is one of inDrive’s business units responsible for building and scaling the delivery product, which is rapidly expanding into new markets and adopting an AI-first approach to engineering processes. We are looking for a Tech Lead who will combine hands-on engineering with leadership responsibilities: owning team delivery and execution, defining technical direction and ensuring solution quality, as well as supporting engineers’ growth through feedback, mentoring, and regular 1:1s under the guidance of an Engineering Manager. Key Responsibilities Translate business needs into a technical strategy with measurable outcomes. Ensure alignment with the global company strategy. Identify and propose architectural and technical improvements across the product and platform, using data and trade-off analysis. Advocate, present, and defend technical solutions at the organizational level in collaboration with various stakeholders (Product, Data, Security, SRE, etc.). Participate in reviewing product & technical strategies as a subject-matter expert. Lead the process of technical research and implementation to create or improve services and systems. Write clean, effective, and maintainable code based on company standards. Participate in improving company-wide code and review standards. Take ownership of and improve the Android development lifecycle. Help engineers grow and increase their productivity. Create effective processes for knowledge sharing and collaborative work. Increase the re-use of best practices across teams. Lead task decomposition; mentor engineers and contribute to engineering guidelines. Skills, Knowledge and Expertise 6+ years of commercial Android development; expert in Kotlin and modern Android APIs. Hands-on experience with Retrofit/OkHttp, Coroutines/Flow (plus RxJava for legacy), Jetpack (Compose, WorkManager), Google Maps, FCM, and Gradle. Proven experience with CI/CD (GitHub Actions/GitLab CI), feature flags, and large-scale A/B experimentation. Strong grasp of offline storage, concurrency, performance tuning, and network debugging. Practical expertise in Clean Architecture and mainstream patterns (MVI/MVVM/MVP) applied in production. Deep understanding of client-server interaction and how to make it efficient. Knowledge of specific features and limitations for various use cases. Proven record of mentoring and technical leadership, shaping processes, and raising engineering quality across teams. Strong grasp of backend-service principles, API design, networking, concurrency, and performance optimization. Experience setting up telemetry, dashboards, and automated alerts for production systems; risk assessment and mitigation. Exceptional communication, strategic thinking, and influence; able to drive alignment across multiple teams. AI-first mindset and readiness to adopt AI tools in engineering processes. Real backend development experience is a strong plus. Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: Cairo, Egypt Workplace: hybrid We are looking for a Senior Data Engineer to join one of the Data Platform teams that works with the Marketing, Growth, partner, and financial data domains. You will be working with cutting edge cloud technologies (GCP, AWS, BigQuery, Databricks, K8s) and building a large scale data infrastructure for analytics, machine learning, and streaming/CDC data delivery. Key Responsibilities Build and operate batch and streaming ingestion into a layered BigQuery DWH (raw → ODS → data marts) using Airflow, Debezium CDC over Kafka with protobuf, Pub/Sub, and Dataflow Integrate external data sources end-to-end — marketing platforms (GA4, AppsFlyer, TikTok/Meta/Google Ads), payment providers, S3 buckets, and third-party APIs — including schema contracts, backfills, and reconciliation Engineer the data platform itself in Python: custom Airflow operators and connectors in a shared ETL framework, Kafka Connect on Strimzi (K8s), Cloud Functions, and API integrations with external providers Build CI/CD and change-management tooling for BigQuery: GitHub-based test-and-approval flows, SQL migration engines (Liquibase/Flyway/Bytebase), sandbox validation, backup and rollback Own reliability and correctness of pipelines: idempotency, deduplication, late-data handling, backfill and replay, freshness monitoring and alerting; write integration and unit tests Drive data governance and compliance: ITGC-compliant change management for BigQuery, IAM and least-privilege access, PII policy tags and DLP, Unity Catalog on Databricks, column-level lineage (OpenMetadata/Dataplex), and disaster-recovery planning Build internal data tools and platform services for agentic workflows with data — Streamlit apps, Slack bots, LLM-based agents and MCP servers that help teams find and use data Support analysts and business teams with data requests, fostering data-driven decision-making across the company Contribute to system design and architecture with the development team Skills, Knowledge and Expertise Strong practical Python: clean, well-structured, and tested code for services, tooling, and data pipelines Solid software design skills (OOP, modularity, design patterns) — we build platform tools for agentic workflows with data and plan to develop data-related backend services, so well-designed code is highly valued Experience building and operating services in a cloud environment (GCP, AWS or similar): CI/CD, containerization, monitoring and alerting Familiarity with Kubernetes and Terraform — our infrastructure runs on GCP/K8s Hands-on experience with DWH-related tasks (BigQuery or another cloud warehouse) and confident working SQL Clear communication with non-engineering stakeholders — a meaningful share of the work is data requests from analysts and business teams Demonstrated ability to take ownership of technologies or services and proactively contribute ideas to the team Nice to have Advanced SQL: complex queries, window functions, partitioning, clustering, and cost optimization Experience building reliable pipelines around CDC (e.g., Debezium): idempotency, schema evolution, backfills, and reconciliation Analytical data modeling skills: table grain, facts vs dimensions, slowly changing dimensions, and metric definitions Experience with stream processing frameworks such as Flink or Apache Beam/Dataflow Exposure to data governance and audit compliance (ITGC/SOX), Databricks Unity Catalog, or lineage/catalog tooling (OpenMetadata, Dataplex) Interest in building LLM-based agents and AI tooling for data Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: Limassol, Cyprus Workplace: hybrid We're looking for an Infrastructure Security Engineer to secure complex multicloud infrastructure, which runs mostly on Kubernetes. You'll join the security team as a hands-on engineer who builds, not just reviews: security processes, automating checks and working side by side with a team of skilled professionals. InDrive is an AI-friendly company. We use AI tools in daily engineering work and encourage you to use them to automate security operations, speed up reviews and build better tooling. Key Responsibilities Build, maintain and evolve the security of our multicloud environment, Kubernetes clusters and CI/CD systems. Build and maintain vulnerability management processes using commercial and open-source tools, and help engineering teams drive remediation. Contribute to the architectural design of infrastructure services, bringing security expertise across the full lifecycle, from design to production. Run regular security assessments and hardening reviews, and turn findings into secure baselines and guardrails. Automate security checks and operations with code, and use AI-assisted tooling where it makes the team faster. Work with SIEM and monitoring to improve detection coverage for cloud and Kubernetes workloads. Take part in incident response for cloud and Kubernetes environments. Skills, Knowledge and Expertise 3+ years of hands-on experience in infrastructure security, including vulnerability management across cloud and on-prem environments. Strong proficiency with cloud platforms (AWS or GCP) and with Kubernetes: applying security best practices for a high-load production infrastructure. Strong knowledge of IaC tools (Terraform, Terragrunt, Ansible), GitOps (ArgoCD), and CI/CD pipeline security (e.g. GitHub Actions). Understanding of risk based approach to vulnerability management and Cybersecurity in general Automation skills in Python or Bash. Understanding of Zero Trust principles and experience securing remote access with ZTNA solutions. Experience with SIEM solutions. Good written and spoken English. Nice to have Certifications: CKS (Certified Kubernetes Security Specialist) and/or AWS Certified Security – Specialty. Experience with Kubernetes security tooling: policy engines, runtime security and network policies. Hands-on experience with AWS native security services (GuardDuty, Security Hub, IAM Access Analyzer, CloudTrail). Hands-on incident response experience in cloud or Kubernetes environments. Familiarity with secret management tools (e.g. HashiCorp Vault, AWS Secrets Manager). Experience using LLMs or AI agents to automate security workflows Why join us Help us challenge injustice by creating fair choices for millions of people across 48 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Annual salary from 80 000 EUR gross Final benefits may vary depending on the location.

Location: Limassol, Cyprus Workplace: hybrid We are looking for a hands-on Risks Ops to own and evolve our core Decision-Making System (DMS) and credit processing engine. In this role, you will bridge the gap between risk management, and core engineering, leading a focused team of developers to design, build, and optimize high-throughput, low-latency decisioning engines. You will play a pivotal role in streamlining time-to-market for credit strategy changes, integrating advanced ML scoring models, and replacing legacy software with modern, scalable, in-house microservices architecture. Key Responsibilities Technical Leadership & Ownership: Take full ownership of the end-to-end Decision-Making System (DMS) lifecycle, including system architecture, deployment pipelines, production monitoring, continuous code cleanup, and performance optimization. Cross-Functional Collaboration: Partner closely with Risk Analysts and Data Scientists to translate complex business logic, risk rules, and ML scoring models (application, behavioral, fraud) into production-ready software. Team Leadership & Delivery: Implement core logic of DMS system to suit the needs of InDrive's lending vertical. Code reviews, release management, and performance evaluations while fostering an efficient, agile environment. Process Optimization: Reduce time-to-market for credit strategy updates by modernizing delivery workflows, introducing automated regression/retrospective testing, and eliminating dependencies on legacy release cycles. Architecture & System Integration: Drive the evolution of our high-volume microservices ecosystem (Golang, AWS). Integrate internal and external services (credit bureaus, collection platforms, fraud detection services) via REST APIs and event-driven pipelines. Skills, Knowledge and Expertise Fintech & Credit Decisioning Expertise: 7+ years of total backend engineering experience, with deep domain expertise in financial technology, credit conveyors, loan processing, debt collection systems, or automated decisioning engines. Risk-Ops experience: be familiar with any popular decision-engine (gorules, n8n, camunda, SAS RTDM, FICO Blaze Advisor etc…) Stack: Strong expertise in Golang / Python, and build tools (Gitlab CI), AWS-related experience will be a huge plus. Data Management: Proficiency with relational and non-relational databases (MySQL, AuroraDB, DynamoDB, GBQ). DevOps, CI/CD & Observability: Hands-on experience with modern CI/CD tools (GitLab CI, GitHub Actions), containerization (Docker), and system monitoring tools (Prometheus, Grafana). Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Annual salary from 75 600 EUR gross. Final benefits may vary depending on the location.

Location: Remote - US Founded in 2012, Bugcrowd is the preemptive security platform that unifies exposure discovery and assessment, offensive testing, and intelligence shaped by AI and human insight to help organizations avoid, discover, and validate real-world risk. Bugcrowd helps security teams move faster by identifying the exposures that matter most so they can act first and stay ahead of attackers. By combining the power of humans and AI, teams can preempt attack paths and prevent breaches. Based in San Francisco and New Hampshire, Bugcrowd is supported by General Catalyst, Rally Ventures, Costanoa Ventures, and others. Visit www.bugcrowd.com . Job Summary The Bugcrowd RL and Reasoning Team focuses on pushing the boundaries of autonomous cybersecurity by building authentic, verifiable reinforcement learning environments for world-leading foundational AI companies. As a Reinforcement Learning Engineer specializing in Reinforcement Learning from Verifiable Rewards (RLVR), you will design and scale automated verification pipelines that transform real-world software vulnerabilities into deterministic reward functions. In this role, you will bridge the gap between low-level security analysis and modern LLM reasoning models, engineering environments where AI agents learn to discover, exploit, and remediate software vulnerabilities with mathematical certainty. Instead of relying on subjective human feedback, your work directly powers the rigorous, verifiable reward signals that teach next-generation frontier AI models how to master complex cybersecurity domain logic. You will work at the intersection of fuzzing, dynamic program analysis, system exploitation, and scalable ML infrastructure to shape the safety and offensive/defensive capabilities of future artificial intelligence. Essential Duties and Responsibilities Design, build, and deploy high-throughput RLVR (Reinforcement Learning from Verifiable Rewards) environments that evaluate LLM action sequences against deterministic execution outcomes. Develop automated test harnesses, sandboxes, and verification engines that convert complex vulnerability research (e.g., memory corruption, web security, logic bugs) into binary pass/fail reward signals. Integrate Bugcrowd’s Mayhem automated analysis platform and real-world vulnerability feeds into continuous, scalable RL environment generation pipelines. Architect safe, isolated, and highly reproducible execution environments (using Docker, BuildKit, or Nix) capable of running thousands of simultaneous agent-driven exploitation and patching trajectories. Collaborate directly with researchers at frontier AI labs including Anthropic, OpenAI, and Cohere to define standard benchmark formats, observation spaces, and verifiable evaluation metrics for cybersecurity tasks. Implement precise telemetry, ground-truth verification algorithms, and trajectory logging to analyze agent reasoning paths and prevent reward hacking or false positives. Build low-level instrumentation and debugging tools to monitor memory states, process executions, and network behaviors during agent interaction cycles. Optimize infrastructure performance and environment reset latency to support massive-scale parallel sampling and distributed RL training workflows. Benchmark and evaluate frontier AI model performance across diverse offensive and defensive security challenges, such as automated fuzzing, exploit payload generation, and patch validation. Education, Experience, Knowledge, Skills, and Abilities Understanding of RL training workflows used by modern LLM systems, specifically execution-based feedback or Reinforcement Learning from Verifiable Rewards (RLVR). Proficiency developing applications in Python and low-level systems programming in C, with Rust experience being a strong plus. Solid understanding of software vulnerabilities, binary exploitation, fuzzing methodologies, or program analysis. Experience with DevOps pipelines (e.g., GitHub Actions), reproducible builds (Docker, BuildKit, Nix), and comfort working with Linux systems and low-level debugging. Experience working with or building benchmark environments (e.g., CTFs, SWE-bench, security challenges, or execution sandboxes). Preferred Experience Experience designing custom reward functions, ground-truth verifiers, or automated grading engines for AI safety and reasoning models. Background in low-level program analysis tools, sanitizers (e.g., ASan/MSan), compiler instrumentation, or automated exploit generation tools. Proven track record of participating in or developing competitive cybersecurity benchmarks, CTFs, or open-source AI evaluation frameworks. Working Conditions and Physical Requirements The ideal candidate must be able to complete all physical requirements of the job with or without reasonable accommodation. Sitting and / or standing - Must be able to remain in a stationary position 50% of the time Carrying and / or lifting - Must be able to carry / move laptop as needed throughout the work day. Environment - remote, work-from-home 100% of the time. Pay Range Disclosure At Bugcrowd, we strive for fairness, equality and to create an environment that allows our people to perform at their very best. Our compensation philosophy is to foster a collaborative community that rewards, attracts and retains the best possible talent. The provided salary details are based on US national averages and we retain the flexibility to tailor to the needs of the business. The national estimate for the current base range for the position of $176,400 - $242,550. This position may also be eligible to participate in a discretionary bonus program or commission plan, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. Culture At Bugcrowd, we understand that diversity in the workplace is vital to a company’s success and growth. We strive to make sure that people are included and have a sense of being part of making Bugcrowd not only a great product but a great place to work. We regularly hear from both customers and researchers that Bugcrowd feels like a family, and we strive to maintain that internally as well. Our team consists of a broad range of people: musicians, adventure sports junkies, nature lovers, parents, cereal enthusiasts, night owls, cyclists, artists—you get the point. At Bugcrowd, we are solving security threats and vulnerabilities that are relevant to everyone, therefore we believe solving these problems takes all kinds of backgrounds. We value the perspectives and experiences people from underrepresented backgrounds bring. Disclaimer This position has access to highly confidential, sensitive information relating to the technologies of Bugcrowd. It is essential that the applicant possess the requisite integrity to maintain the information in the strictest confidence. The company is authorized to obtain background checks for employment purposes under state and federal law. Background checks will be conducted for positions that involve access to confidential or proprietary information (including trade secrets). Background checks may include Social Security verification, prior employment verification, personal and professional references, educational verification, and criminal history. Applicants with conviction histories will not be excluded from consideration to the extent required by law. Any personal data you submit in connection with your application will be processed in compliance with Bugcrowd's Privacy Policy, which you may review here: https://www.bugcrowd.com/privacy . Equal Employment Opportunity: Bugcrowd is EOE, Disability/Age Employer. Individuals seeking employment at Bugcrowd are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation. Bugcrowd is committed to the full inclusion of all qualified individuals. In keeping with our commitment, Bugcrowd will take the steps to assure that people with disabilities are provided reasonable accommodations. Accordingly, if reasonable accommodation is required to fully participate in the job application or interview process, to perform the essential functions of the position, and/or to receive all other benefits and privileges of employment, please contact HR at ADA at bugcrowd.com. Apply at: https://www.bugcrowd.com/about/careers/

Location: Москва То, что многие компании считают своим прибыльным активом, зачастую является скрытым корнем финансовых проблем. Задача департамента по работе с проблемными активами – вовремя выявить трудности у клиентов и помочь преодолеть их. Используя передовые модели машинного обучения и искусственного интеллекта, мы создаем AI-профили клиентов, которые помогают сотрудникам быстрее разобраться в кейсе и выбрать наилучшую стратегию взаимодействия. В рамках нашего центра ИИ и комплексных решений вектор развития ориентирован на концептуальное переосмысление процессов урегулирования, автоматизацию рутинных процессов и создание дополнительного дохода в рамках работы с проблемной задолженностью. Обязанности * исследование клиентского опыта в рамках процессов оздоровления и взыскания, поиск «узких» мест в процессах и использование передовых инструментов для проведения локальных исследований (графовый анализ, LLM для поиска инсайтов, самовоспроизводящиеся ИИ-решения, disrupt-проекты) * регулярные встречи с Заказчиками для определения зон роста, предоставления непредвзятого взгляда на процессы и предложения к их трансформации * создание ИИ-решений, влияющих на клиентский опыт * построение чистого эксперимента и валидация ИИ-решения * проработка технологической реализации при поддержке команд разработчиков, data и OPS-специалистов * контроль внедрения ИИ-решения и последующего поведения решения в ПРОМ-контуре, анализ результатов внедрения * создание AI-агентов на базе LLM для оптимизации рутинных процессов: * речевая и текстовая аналитика взаимодействия с клиентом * выявление сущностей для автоматизации внутренних процессов * качественная суммаризация текста для составления профиля клиента * создание, обучение и внедрение моделей для оценки и прогноза финансового состояния клиента, скоринга, прогнозирования дефолта, антифрода и выявления мошенничества. Разработка систем подбора индивидуальных условий для урегулирования задолженности, а также применение What-If / Uplift моделирования и каскадов моделей для выстраивания процессов с использованием ИИ * графовый анализ компаний, их руководителей и бенефициаров, анализ новостного контента и других источников информации о клиентах. Требования * опыт работы 3+ лет в традиционных направлениях машинного обучения (ML), обработки естественного языка (NLP), глубокого обучения (DL) * знание библиотек и фреймворков: pandas, pyspark, catboost, pytorch, tensorflow, langchain/langgraph * опыт валидации AI-решений и их "боевого" пилотирования решений * прикладной опыт в использовании LLM, контроле качества ответов и выстраивания графовой архитектуры с использованием LLM tools / MCP * знания математической статистики и основ A/B-тестирования. _Будет плюсом:_   * опыт руководства проектами или самостоятельного обеспечения всего цикла производства ИИ-решения от гипотезы до реализации * знание основ финансового анализа и бухгалтерского учета * опыт курирования или наставничества, работа в крупных AI-проектах с смежными командами * английский язык — уровень Intermediate и выше * опыт в проектах, связанных с клиентским опытом / бизнес-анализом / исследованием очень больших данных * опыт использования AI-инструментов в разработке (LLM-ассистенты для написания и ревью кода, агенты для автоматизации рутинных операций, инструменты автодополнения вроде GitHub Copilot). Условия * возможен гибридный формат работы, локация офиса: Москва, Кутузовский пр., д.32, к.3 * ежегодный пересмотр зарплаты, годовая премия * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера.