Вакансии

Обязанности: — Развертывание и поддержка облачной инфраструктуры в AWS (IaC через Terraform) — Администрирование…

Задачи: — Развертывание и поддержка облачной инфраструктуры в AWS (IaC через Terraform) — Администрирование кластеров Kubernetes (EKS) и управление деплоем через Helm — Настройка, оптимизация и защита пайплайнов в GitLab CI и GitHub Actions — Внедрение инструментов сканирования уязвимостей (SAST/DAST) и управление секретами в HashiCorp Vault — Настройка сквозного мониторинга и логирования (Prometheus, Grafana, ELK/Loki, Sentry), оперативное реагирование на инциденты — Участие во внедрении и поддержании практик информационной безопасности по стандарту ISO 27001 — Настройка и поддержка веб-серверов (Nginx), управление VPN, SSL/TLS сертификатами и DNS Требования: — Уверенное знание Linux (Ubuntu/RHEL) и владение Bash для автоматизации — Практический опыт работы с AWS (EKS, IAM, S3, RDS) и Ansible — Глубокое понимание процессов контейнеризации (Docker, Kubernetes) и автоматизации CI/CD — Понимание принципов сетевой безопасности, опыт работы с криптографическими протоколами и системами управления секретами — Знание принципов и практический интерес к внедрению стандартов безопасности ISO 27001 Условия: — Официальное оформление в соответствии с регламентом МФЦА (AIFC) — График работы 5/2, гибкий гибридный формат (сочетание офиса в Алматы и удаленки) с гибким началом дня — Стабильная заработная плата — Интересные и динамичные digital-проекты (включая AI-интеграции и масштабные веб-платформы) — Сильная техническая команда, минимум бюрократии и открытость к вашим технологическим инициативам

Location: London, United Kingdom About Workato Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit workato.com . Why join us? Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles . We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care . That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: Business Insider named us an “enterprise startup to bet your career on” Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America Quartz ranked us the #1 best company for remote workers Responsibilities We are seeking a visionary Regional Chief Strategic Architect to serve as Workato's technical authority and strategic advisor to our most critical prospects, customers, and the broader market within their assigned region. The Chief Strategic Architect operates at the nexus of technical credibility, executive influence, and market thought leadership, acting as the external-facing voice of Workato's innovation and technical vision. This is not a sales role. It is a strategic, hybrid operator-advisor-influencer position. Chief Strategic Architects act as extensions of the executive team in the field, elevating conversations with senior leaders and positioning Workato as the essential platform for enterprise integration, AI orchestration, and intelligent automation. This role is accountable for building technical trust across the customer lifecycle - from initial engagement through strategic expansion - while simultaneously shaping how the market understands enterprise integration, AI orchestration, and intelligent automation. The Chief Strategic Architect influences deal outcomes, product direction, and industry perception, ensuring Workato is recognized as the definitive leader in Enterprise Orchestration. First 90 Days Learn & Align (Days 0-30) Deep immersion into Workato's AI vision, product roadmap, and GTM strategy Shadow at least 10 executive customer conversations Develop initial point of view for engagement with CIO/CTO/CDO personas Engage & Formulate (Days 30-60) Lead first strategic engagements with enterprise accounts Co-develop executive playbooks with Sales and Product teams Establish feedback loops with Product and Engineering teams Influence & Scale (Days 60-90) Cultivate trusted relationships with C-level executives in 5+ strategic accounts Co-create first AI-driven integration use cases with customers Establish thought leadership presence through content and speaking opportunities Technical Trust & Executive Relationships Engage directly with C-level executives (CIOs, CTOs, Chief Data Officers, Chief AI Officers) at enterprise accounts to shape integration strategies that solve complex business challenges Serve as trusted technical advisor throughout the customer lifecycle - from initial engagement through expansion - providing strategic guidance rooted in real-world operator experience Build lasting peer-to-peer relationships that position you as the go-to expert on enterprise integration, AI orchestration, and automation at scale Act as technical closer in competitive deals, articulating why Workato's architecture differentiates us from competitors like MuleSoft and Boomi Influence enterprise architecture decisions and multi-year technology strategies at the executive level AI, Agentic Automation & Enterprise MCP Strategy Shape and guide customers' AI and agentic automation journeys, leveraging Workato's AI capabilities and ecosystem Advise on the design and adoption of agent-based workflows, human-in-the-loop models, and decision automation frameworks Partner with customer executives to define enterprise MCP (Model Context Protocol) strategies including context management, secure AI orchestration, and governance Translate emerging AI capabilities into practical, scalable enterprise use cases that drive measurable business outcomes Position Workato as the integration and orchestration backbone for enterprise AI transformation Domain Expertise & Thought Leadership Establish yourself as the recognized authority across iPaaS, API Management (APIM), data orchestration, EDI, and AI/Agentic automation Lead "Art of the Possible" workshops that fundamentally shift how customers think about enterprise integration and intelligent automation Represent Workato at industry conferences, customer advisory boards, analyst briefings, and partner events Create high-impact thought leadership content: blogs, white papers, webinars, reference architectures, and technical videos Shape industry narratives and best practices that establish Workato as the category leader Deal Acceleration & Commercial Impact Accelerate deal velocity through technical validation, competitive differentiation, and executive trust-building Identify and shape strategic expansion opportunities by uncovering automation, integration, and AI-driven transformation initiatives Partner with Account Executives and Sales Leadership on account strategy, competitive positioning, and C-level engagement tactics Articulate compelling ROI narratives and business case frameworks that accelerate buying decisions Demonstrate measurable impact on win rates, deal size, and sales cycle length in strategic opportunities Strategic Advisory & Technical Leadership Lead high-impact customer engagements requiring executive-level judgment, architectural vision, and industry expertise Guide prospects and customers through Enterprise Orchestration vision and roadmap development Develop prioritization frameworks for integration, automation, and AI use cases Lead technology evaluation and vendor selection processes with enterprise customers Design governance, scalability, and enterprise operating models for automation initiatives Product Influence & Market Intelligence Act as the voice of the customer to Product and Engineering teams, channeling field insights into actionable roadmap input Identify capability gaps, competitive threats, and market opportunities based on executive-level customer conversations Develop and refine competitive positioning, objection handling, and differentiation strategies Define reusable patterns, reference architectures, and technical frameworks that accelerate customer success Influence industry analysts and thought leaders to strengthen Workato's market position Internal Enablement & Team Development Educate and enable Sales Engineers, Account Executives, and Customer Success teams on complex technical capabilities and emerging trends Develop strategic frameworks, competitive positioning, and executive engagement playbooks for enterprise accounts Mentor technical team members, helping them develop deeper domain expertise and executive engagement skills Create scalable technical enablement content and programs that amplify your expertise across the field organization Drive customer reference creation and participation in case studies, speaking opportunities, and advisory boards Requirements Qualifications / Experience / Technical Skills Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience) 20+ years of technology transformation experience, including integration, middleware, or API management platforms 15+ years in an Enterprise Architect, CTO, VP Engineering, or similar senior architecture/leadership role Demonstrated experience advising C-level executives on technology strategy and enterprise transformation Strong understanding of enterprise security, governance, and operating models Proven track record of driving platform expansion and value realization in enterprise accounts Excellent executive communication skills, including board-level presentations and strategic documentation Ability to operate independently in complex, ambiguous environments and take ownership of outcomes Travel to client sites up to 50%, with flexibility based on regional needs Soft Skills / Personal Characteristics Master's degree in Computer Science, Software Engineering, Business, or related field Deep knowledge of key enterprise applications: Salesforce, NetSuite, Workday, ServiceNow, SAP, Oracle Experience with cloud platforms: AWS, Azure, and GCP Hands-on experience with AI/ML platforms and agentic automation frameworks Experience in a high-growth startup or scale-up environment Established personal brand and thought leadership presence in the integration/automation space Measures of Success Long-term success for this leader will be measured by their ability to: Embed Workato at the heart of technology strategy conversations across the region's most influential enterprises Cultivate sustained engagement with senior technology and engineering leaders ensuring Workato becomes synonymous with Enterprise Orchestration and AI orchestration Create a robust pipeline of seven-figure opportunities tied to transformation initiatives Reframe Workato in the minds of decision-makers and analysts as the essential platform for AI-enabled enterprise integration Leave behind scalable playbooks and repeatable narratives that enable go-to-market teams to engage enterprise audiences with authority and credibility. Job Req ID: 2646

Location: Lagos, Nigeria Who We Are We’re a passionate team determined to challenge the status quo and make financial inclusion count for the millions of under-banked individuals and small business owners in Nigeria. We provide loans, savings, and fixed deposit solutions to our customers. Our vision is to be the most convenient lending company, delivering outstanding service experience. The Role The Java Developer will join one of our core engineering teams Banking, Loans, Core Technology Platform, or Cards to design, develop, and maintain the backend systems that power our financial products and internal platforms. This role is ideal for a software engineer who is passionate about backend development, software craftsmanship, and building scalable, high-performance systems. You'll work alongside talented engineers in a collaborative environment that values clean architecture, code quality, testing, observability, and continuous improvement. What You Will Do • Design, develop, test, and maintain backend applications using Java and Spring Boot. • Build scalable, secure, and high-performing backend services that support business-critical financial products. • Develop and maintain RESTful APIs and microservices. • Write clean, maintainable, and production-ready code with a strong focus on • reliability and performance. • Collaborate with Product, Engineering, Infrastructure, and QA teams throughout the software development lifecycle. • Participate in architecture discussions, code reviews, and technical design sessions. • Monitor, troubleshoot, and optimize application performance. • Build and support distributed systems using modern cloud-native technologies. • Implement messaging and event-driven solutions using Kafka. • Contribute to engineering best practices, automated testing, and continuous improvement initiatives. Requirements What You Bring Educational Qualification • Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related discipline. Experience • Proven experience developing backend applications using Java. • Strong experience with Spring Boot or similar Java frameworks. • Experience building and maintaining distributed systems in production environments. • Experience working in cloud-native environments is highly desirable. • Experience in FinTech, banking, payments, lending, or other financial services is an added advantage. Professional Competencies • Strong proficiency in Java. • Solid experience with Spring Boot. • Experience developing RESTful APIs and microservices. • Working knowledge of AWS, preferably Amazon EKS. • Experience with MySQL or other relational databases. • Experience with Kafka and event-driven architectures. • Knowledge of Redis caching technologies. • Familiarity with monitoring and observability tools such as Grafana and Prometheus. • Understanding of software design principles, testing methodologies, and engineering best practices. • Strong analytical and problem-solving skills. • Excellent communication and collaboration skills. This Role Is Ideal For You If: • You enjoy building scalable backend systems. • You take pride in writing clean, maintainable, and well-tested code. • You are passionate about software engineering best practices and continuous improvement. • You enjoy solving complex technical problems. • You thrive in collaborative, fast-paced engineering teams. • You are excited by the opportunity to build products that power millions of financial transactions. You May Not Enjoy This Role If: • You prefer front-end or UI-focused development. • You are uncomfortable working with distributed systems and cloud technologies. • You dislike code reviews, testing, or maintaining production systems. • You prefer highly isolated work with minimal collaboration. • You are not interested in building reliable, scalable software. Benefits What's In It For You • Opportunity to work in an innovative fintech company with a global reach. • Exposure to modern technologies including Java, Spring Boot, AWS (EKS), MySQL, Kafka, Redis, Grafana, and Prometheus. • Opportunity to contribute to high-impact financial products used by millions of customers. • Collaborative engineering culture focused on technical excellence and continuous learning. • Engaging technical challenges with opportunities to influence product development. • Professional growth within a globally distributed engineering team. • Competitive compensation and excellent career development opportunities.

Location: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . This is a fully remote role. Reddit has a flexible first workforce. The Identity and Access Management team develops and maintains a set of mission critical, highly performant, and highly scalable systems that manage user identity, authentication, and authorization for all of our millions of daily users and backend services. Some of our present and future challenges include: Building systems around authentication, authorization and identity to meet the needs of Reddit’s engineering organization and millions of daily users. Design, build and ship backend services powering experiences for one of the most visited sites in the world. Work with product management, security, client engineering, and backend teams to define and implement Reddit’s IAM vision and roadmap. As a senior engineer on this team, you’ll be a technical coach and mentor. You’ll draw on your technical expertise to ensure these systems have high uptime and strong performance while working with others to build a roadmap to match the needs of an ever growing engineering organization. In your day-to-day, you will: Steer: Work with the team to select, scope, and drive high leverage projects that align with Reddit’s goals. Build: Execute on a strategy and create a more performant, more scalable, higher quality architecture around authentication, authorization and identity. Amplify: Mentor, coach, and collaborate with other technical contributors Collaborate: Work together with a variety of cross functional teams across Reddit Engineering. Evolve: Learn and improve your own technical and non-technical abilities. Who you might be: 5+ years of experience designing and developing large-scale distributed backend systems with at least 2+ years focused on security-sensitive domains (IAM, Security, Privacy, or Anti-Abuse). Technical understanding of core identity concepts, authentication protocols (OAuth2, OIDC, SAML), session management and/OR Authorization access models (ABAC, RBAC, ReBAC), centralized authorization engines Proficiency in one or more general purpose programming languages (preferably Go). Experience with (or curiosity to learn about) essential cloud infrastructure (Kubernetes, CI/CD, AWS, GCP). Experience identifying and driving high-impact projects that align with the company's strategy. High empathy and excellent communication skills to collaborate across the organization. Benefits: Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $190,800 — $267,100 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: United States Mattermost is the leading collaborative workflow platform for defense, intelligence, security, and critical infrastructure. Trusted by the U.S. Department of War and Fortune 500s, our platform runs on-premises and in private clouds, delivering secure messaging, file sharing, workflow automation, audio/screenshare, and project management—all with full data and operational control. Mattermost powers high-stakes workflows across mission planning, real-time, real-world operations, DevSecOps, incident response, and cyber defense—enabling secure collaboration from tactical edge and DDIL environments to enterprise HQ. Teams operate across web, desktop, and mobile, with embedded interoperability for Microsoft Teams, Outlook, and Microsoft 365. To learn more, visit www.mattermost.com Mattermost is hiring a GRC Manager to own and modernize our governance, risk, and compliance program across both federal and commercial markets. This is a program-ownership role for someone who brings a modern, engineering-led approach to compliance — harnessing GRC engineering and AI to reduce manual effort and scale our programs. You will own Mattermost's compliance posture end to end, accountable for our federal readiness and commercial certifications, and you will modernize how we run them: automated, continuously monitored, and AI-native. You will do the hands-on compliance work while coordinating across internal stakeholders in engineering, infrastructure, and IT who implement controls, the external auditors who assess them, and the customers whose trust rests on the outcome. As the program scales, you will grow and lead the team behind it. What You'll Do Own and modernize Mattermost's compliance programs across federal and commercial markets Lead readiness, certification, and surveillance cycles across both programs Operate the risk management program end to end — from identification and assessment through treatment and acceptance Own the third-party and vendor risk management program, including security assessments and supply chain risk Apply GRC engineering and automation to replace manual evidence collection with continuous controls monitoring Build AI-native workflows to accelerate and improve the quality of recurring compliance work Maintain the control library, system security plans, POA&Ms, and policies Coordinate external audits from scoping through remediation Accelerate deal cycles by owning customer security questionnaires, trust center content, and reusable compliance artifacts Grow and lead the GRC team as the program scales What We're Looking For Bachelor's degree in computer science, information security, or related field — or significant professional GRC and compliance experience Proven senior-level experience in governance, risk, and compliance, security compliance, or IT audit, including direct ownership of a certification or authorization program Experience with U.S. Federal standards including CMMC and NIST series (800-171 / 800-53) Experience with ISO 27001 and SOC 2 Type II Experience operating a formal risk management program Experience running a third-party and vendor risk management program Experience owning customer-facing security assurance, including security questionnaires and trust center content Working knowledge of security controls for cloud environments (AWS, GCP, and/or Azure) Excellent written and verbal communication skills Nice to Have Professional GRC certifications such as CISA, CRISC, CISM, CISSP, or CIPP Experience working with AI platforms such as Claude, OpenAI, or Gemini Experience with compliance automation tooling such as Vanta or Drata, and continuous controls monitoring Direct experience applying AI or LLM-based workflows to GRC tasks Proficiency in no-code automation or scripting languages Past success in critical infrastructure industries including defense, cybersecurity, communications, or manufacturing How Success Is Measured CMMC Level 2 gap assessment and readiness roadmap delivered within first 90 days SOC 2 Type II and ISO 27001 audit cycles completed on time without slippage Manual evidence collection replaced with automated, continuously monitored controls Customer security questionnaires and trust center content maintained to unblock deal cycles GRC team grown and operating as a scalable, program-driven function Why Mattermost Mission-driven work: Your contributions directly support the organizations and missions that depend on secure, reliable collaboration Remote-first culture: Work from anywhere with a globally distributed, high-trust team built for autonomy and ownership Open source at the core: Be part of a vibrant developer community shaping the future of secure collaboration AI-forward environment: We actively adopt and build AI-enabled workflows — you'll work with and on cutting-edge tooling Unique scope: Own the compliance program end to end across both federal and commercial markets at a high-growth Series B company Target Salary Range: $139,254-$168,318 Mattermost takes a market-based approach to pay and pay may vary depending on your location. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future. Mattermost offers a remote-first work environment with medical, dental, and vision coverage. You’ll also receive unlimited PTO plus company holidays, a work from home stipend, an annual learning and development budget for conferences, certifications, and courses, paid parental leave for all parents, and a 401(k) plan. U.S. Eligibility & Compliance This role may require obtaining and maintaining a U.S. government security clearance. Candidates must meet federal eligibility requirements to be considered. For more information visit Security Clearances — United States Department of State Applicants must meet eligibility requirements for access to export-controlled information as defined by U.S. export control laws, including EAR and ITAR. For more information visit the Bureau of Industry and Security and the Directorate of Defense Trade Controls . Mattermost is an EEO Employer, we are a remote-first, open-source company. We are continually working to expand our hiring in more countries and regions, ensuring compliance with local laws and regulations, which takes time. Mattermost values your unique perspective—we welcome all applicants. We encourage individuals from all backgrounds to apply and are committed to assessing candidates based on their skills and qualifications. We do not tolerate discrimination against staff or applicants based on race, religion, national origin, age, disability, pregnancy status, veteran status, or other personal characteristics. If you require accommodations during the interview process, please let us know—we’re happy to assist.

Location: Amsterdam, Netherlands; Remote - Europe About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The Role Nebius is looking for a deeply technical Technical Product Manager – Storage to join the team. In this role, the candidate will own the vision, roadmap, and priorities for storage services in Nebius Cloud , including block storage, file and parallel file systems, object storage, and the storage capabilities that underpin AI/ML and HPC workloads . The candidate will be responsible for shaping and managing backlogs for storage service teams and leading company-wide initiatives related to storage. This is a hands-on, technically demanding role: the candidate is expected to reason about storage internals, data paths, and performance trade-offs directly with engineers. It requires strong technical depth combined with the ability to coordinate across engineering, development, product, technical support, and go-to-market teams. Responsibilities Own and manage the product backlog for storage service teams (block, file, parallel/HPC, and object storage) Lead and coordinate cross-company initiatives involving storage, including data durability, performance, capacity, and cost initiatives Work closely with engineering and architecture teams to define product requirements at the level of data paths, consistency models, replication and erasure coding, and performance characteristics , and deliver new storage features Make informed technical trade-offs on durability, availability, latency, throughput, and cost, and defend them with data Partner with product marketing and technical pre-sales/post-sales teams on technical publications, go-to-market activities, customer engagement, acquisition, and retention related to storage Ensure the delivery of storage services that meet high standards for durability, availability, performance, scalability, and cost efficiency , including storage for AI/ML training and inference and HPC Requirements Hands-on experience building storage products in the cloud is the single most important requirement: the candidate must have designed, built, or operated cloud storage services (not just used or integrated them), in senior engineering, architecture, or technical leadership roles at hyperscalers, cloud providers, storage vendors, or other advanced technology companies Deep understanding of storage systems internals : block, file, and object storage architectures, distributed storage, replication and erasure coding, consistency and durability models, and the read/write data path Hands-on familiarity with technologies and interfaces such as NVMe/NVMe-oF, iSCSI, POSIX and parallel file systems (e.g., Lustre, GPFS/Spectrum Scale, BeeGFS), Ceph, S3-compatible object storage, and RDMA-based data paths Ability to reason quantitatively about IOPS, throughput, latency (including tail latency), and cost per usable TB , and to read and interpret benchmarks Strong technical expertise in at least two of the following areas: Block storage and virtualization (volumes, snapshots, replication, NVMe-oF) File and parallel file systems for HPC/AI (Lustre, GPFS, BeeGFS, NFS) Distributed storage internals (replication, erasure coding, consistency, repair) Storage performance engineering and benchmarking Object storage at scale (S3-compatible APIs, metadata, multipart, lifecycle) Proven track record of delivering complex technical initiatives requiring coordination across multiple teams or stakeholders Technical leadership experience is a strong plus Product management experience is not required , but a strong willingness to learn and grow into the role is essential Nice to Have Experience with storage for AI/ML training pipelines and large-scale HPC (checkpointing, data loading at scale, high-throughput sequential and random access patterns) Experience creating technical documentation, guides, tutorials, or reference architectures for storage products Ideal Candidate The ideal candidate is a technically strong professional with a background in cloud or cloud storage products at hyperscalers (AWS, GCP, Azure), other public cloud providers, storage vendors, their partners, or highly digitalized enterprises . The candidate may come from a background in storage engineering, distributed systems, architecture, SRE, or technical leadership , with hands-on experience building cloud storage services, distributed storage systems, or high-performance storage for ML and HPC . Experience in technical product or platform ownership or technical leadership is highly valued, even if the candidate has not held a formal manager title. Relevant experience in ML and HPC environments is strongly desirable given the storage demands of these workloads, though the candidate is expected to adapt quickly and learn new domains. About Nebius Nebius AI is an AI cloud platform with one of the largest GPU capacities in Europe. Launched in November 2023, the Nebius AI platform provides high-end, training-optimized infrastructure for AI practitioners. As an NVIDIA preferred cloud service provider, Nebius AI offers a variety of NVIDIA GPUs for training and inference, as well as a set of tools for efficient multi-node training. Nebius AI owns a data center in Finland, built from the ground up by the company’s R&D team and showcasing our commitment to sustainability. The data center is home to ISEG, the most powerful commercially available supercomputer in Europe and the 16th most powerful globally (Top 500 list, November 2023). Nebius’s headquarters are in Amsterdam, Netherlands, with teams working out of R&D hubs across Europe and the Middle East. Nebius AI is built with the talent of more than 500 highly skilled engineers with a proven track record in developing sophisticated cloud and ML solutions and designing cutting-edge hardware. This allows all the layers of the Nebius AI cloud – from hardware to UI – to be built in-house, distictly differentiating Nebius AI from the majority of specialized clouds: Nebius customers get a true hyperscaler-cloud experience tailored for AI practitioners. We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us! Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Austin, TX - Hybrid About the team The Data Intelligence & Analytics organization builds the core data platform and internal products that power decision-making across the company. We design and operate large-scale data systems, own the company’s data lake, ingestion infrastructure, and platform tooling, and develop end-to-end applications that transform complex datasets into fast, reliable, business-critical products used daily by go-to-market, product, and engineering teams. Our work sits at the intersection of data platforms, distributed systems, and product development, giving engineers the opportunity to own meaningful problems across the stack and build systems that truly run the business. About the role We are looking for a visionary and hands-on Lead Machine Learning Engineer to join our Austin team. In this role, you will be the principal architect behind the next generation of our unified AI/ML platform, designing and building the infrastructure that powers everything from traditional predictive models to generative AI, large language models (LLMs), and autonomous agent frameworks. You will own the end-to-end technical strategy, blueprint, and execution of scalable backend services and data pipelines that support AI-driven applications across go-to-market, engineering, and product teams. Because our products are initiated and owned entirely within the team, you will drive the vision from initial requirements and system design to global deployment, optimization, and long-term evolutionary ownership. What you'll do Architect and evolve a highly scalable, multi-tenant AI/ML platform that seamlessly unifies traditional ML (classification, regression, forecasting) and Generative AI/LLM orchestration. Design and implement robust production-grade AI Agents and Advanced Chatbots. Build reliable execution environments for Multi-Agent Systems, including state management, long-term memory architectures, and Model Context Protocol (MCP) server integrations. Build high-throughput, low-latency application backends and orchestration layers. Partner closely with data, platform, and full-stack engineers to ensure seamless feature delivery and reliable production operations. Act as a technical anchor for the Data Science team – enforcing rigorous engineering standards, leading design and security reviews, evaluating build-vs-buy decisions, and mapping business requirements to robust technical designs. Evaluate trade-offs and drive adoption of modern AI infrastructure tools, optimized embedding pipelines, vector databases, and serverless compute paradigms (such as Workers AI).\ Must-Have Skills Extensive experience as a Senior or Lead ML Engineer, with a proven track record of architecting and operating production-grade ML platforms, services  and distributed backends. Strong competency in Traditional ML lifecycles (feature stores, training pipelines, model monitoring) alongside deep experience in Generative AI patterns (RAG pipelines, context engineering, fine-tuning, guardrailing, and agentic AI systems). Mastery of Python and robust experience with modern backend ecosystems. Familiarity with (or willingness to collaborate on) full-stack technologies like React and TypeScript is highly valued. A builder's mindset. You are comfortable navigating ambiguity, shaping your own technical roadmap, adapt as needed and taking extreme ownership of system reliability, costs, and model performance. Nice-to-Have Skills Technical Leadership & Systems Architecture 3+ years of dedicated ML Engineering experience within a large-scale, enterprise environment (handling petabyte-scale data and working across globally distributed teams). Proven ability to architect, scale, and secure reliable, highly observable distributed systems, with a track record of leveling up platform foundations. Experience mentoring engineers, leading by example through high-quality code and rigorous design reviews, and fostering a culture of technical excellence. Strong problem-solving skills with a demonstrated ability to independently drive complex projects through ambiguous spaces and collaborate cross-functionally with data engineers, full-stack teams, and analysts. AI, LLMOps & Agentic Engineering Hands-on proficiency in building production-grade GenAI applications and multi-agent systems using advanced LLM frameworks like LangGraph, LangChain, or Autogen. Deep understanding of agent harness primitives, state management, memory architectures, and tool-calling loop mechanics. Experience establishing LLMOps foundations, including automated prompt tracking, LLM evaluation pipelines (e.g., Ragas, TruLens), vector database optimization, context/token management, and real-time guardrailing/moderation layers. Deep experience in scientific computing using Python (Scikit-Learn, PyTorch, or TensorFlow) and deploying traditional systems for end-to-end training, batch/real-time inference, and model observability. Infrastructure, Cloud & Data Platforms Strong experience with Docker and Kubernetes for containerization and orchestration, alongside Infrastructure-as-Code tools like Terraform and public cloud ecosystems (GCP, AWS, or Azure). Hands-on experience with modern MLOps platform tools (e.g., Airflow, Argo Workflows, ArgoCD) and data systems including BigQuery, Postgres, and robust ETL/ELT practices. Experience with full-stack web technologies and serverless/edge environments (FastAPI, TypeScript/JavaScript, Cloudflare Workers), with the agility to contribute across a multi-language stack. Strong foundation in continuous integration/continuous deployment (CI/CD), testing frameworks (Pytest), and robust version control practices. Education & Communication M.S. or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field. Exceptional written and verbal communication skills, with the ability to translate complex technical architectures into clear concepts for both engineering peers and business stakeholders. Equity This role is eligible to participate in Cloudflare's equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun! The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits Medical/Rx Insurance Dental Insurance Vision Insurance Flexible Spending Accounts Commuter Spending Accounts Fertility & Family Forming Benefits On-demand mental health support and Employee Assistance Program Global Travel Medical Insurance Financial Benefits Short and Long Term Disability Insurance Life & Accident Insurance 401(k) Retirement Savings Plan Employee Stock Participation Plan Time Off Flexible paid time off covering vacation and sick leave Leave programs, including parental, pregnancy health, medical, and bereavement leave What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: Republic of Ireland (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we are looking for candidates from the UK, Sweden, Spain, Germany or Ireland. About the role: Grafana Cloud runs Mimir, Loki, Tempo and Pyroscope as multi-tenant SaaS databases across AWS, GCP and Azure in regions worldwide. Our highest-SLA customers depend on them to run their businesses. We’re looking for a Staff Software Engineer to keep these systems reliable at scale. The role combines building and operating. You’ll write the software, automation and product changes that make our databases more reliable, including changes to the Mimir, Loki and Tempo codebases where reliability calls for it. You’ll also be on call for our highest-SLA customers and handle the operational work that comes with it. You’ll bring a production mindset to product engineering and engineering rigor to reliability, and you’ll set technical direction across squads. What You’ll Do Build reliability into the product. Write production code in our services, tooling and the Mimir, Loki and Tempo codebases that makes our databases more resilient, self-healing and scalable as demand grows quickly. Build automation and platform tooling that removes toil and scales our reliability practices across regions and cloud providers. Lead technical design. Author design docs, review others’ designs and PRs, and shape feature design so it’s scalable and operable from day one. Own the SLO framework. Define and evolve per-tenant SLOs and reliability models. Use SLO burn and incident learnings to find and fix the causes of failure in the systems themselves. Improve observability and alerting so we find problems before customers do, and so escalations are actionable rather than noisy. Be on call for our highest-SLA customers. Act as a technical escalation point for complex customer environments. Lead customer-impacting incident response, including customer bridge calls when needed, and write blameless post-incident reviews that lead to engineering fixes. Handle the operational work that comes from on-call. This includes investigating customer escalations, following up on incident actions, tuning capacity and configuration, and turning recurring issues into permanent fixes or automation. Multiply the team. Mentor engineers, teach reliability practices that teams adopt early in development, and work with engineering leadership on roadmaps and product strategy. We highly value those who are intellectually curious, who default to transparency, possess a high bias towards action, and who are also kind (this is important!) On-Call Weekday on-call is 12-hour shifts, Monday to Friday, split between North America and Europe so you cover your local working hours. Weekends are covered by a separate 24-hour rotation. You’ll take a weekend roughly once every six to eight weeks. What We’re Looking For: 8+ years of software engineering experience, including significant time building and owning distributed systems in production. Strong production software skills, ideally in at least one object-oriented language. You write clean, tested code and can make targeted changes in large open-source codebases you didn’t write. Deep understanding of distributed systems: performance, scaling and failure modes. You can reason about how a system will break before it does. Experience running multi-tenant systems at scale on Kubernetes in AWS, GCP or Azure, with infrastructure-as-code tools such as Terraform, Helm or Jsonnet. Hands-on experience designing and implementing SLOs. Experience being on call for production systems. You troubleshoot calmly and methodically under pressure, and you’ve taken part in blameless incident response and written high-quality post-incident reviews. Staff-level technical leadership: driving cross-team projects, setting technical direction and making the engineers around you better. Working knowledge of Linux internals, networking and cloud storage. Nice to Have: Experience with Mimir, Loki, Tempo, Pyroscope, Prometheus or other observability and time-series databases. Open-source contributions. Customer reliability engineering (CRE) or customer-facing escalation experience.1 In Ireland, the Base compensation range for this role is € 121,128 - € 145,354 Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here . #LI-Remote #LI-Remote *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

MDiet — early-stage HealthTech стартап, разрабатывающий AI-powered платформу, которая помогает снижать количество повторных госпитализаций пациентов. Продукт ориентирован на рынок здравоохранения США. Возможна релокация в США при успешном росте компании, обсуждается индивидуально. Tech Stack: • LangGraph + LangChain / Agentic AI • vLLM + Hugging Face • PyTorch + PEFT / LoRA / QLoRA • Vector databases: pgvector, Qdrant, Weaviate, Chroma, Pinecone • Advanced RAG, Prompt Engineering, Embeddings • FastAPI + PostgreSQL • Docker + Kubernetes + async processing: Arq / Celery / Redis Streams • Apache Airflow для data pipelines • AWS Cloud: EC2, S3, SageMaker, Lambda, RDS, Bedrock • Structured output: Outlines / Guidance / Instructor • Evaluation & observability: Langfuse, RAGAS / DeepEval, Prometheus + Grafana • MLOps practices Задачи: • Проектирование и разработка multi-step LLM agents и pipelines для обработки медицинских данных • Разработка production RAG-систем с высоким уровнем grounding и качеством citation • Деплой и оптимизация self-hosted LLM inference через vLLM с фокусом на cost и throughput optimization • Fine-tuning open-source моделей на domain-specific medical data с измеримым улучшением результата • Построение data pipelines и versioning для документов, embeddings и training data • Создание evaluation frameworks, guardrails и систем контроля hallucinations • Реализация reliable structured output и data extraction • Тесное взаимодействие с physicians и Platform Architect Требования: • Сильный hands-on опыт с production LLM systems: RAG, agents, inference • Опыт fine-tuning open-source LLMs: LoRA / QLoRA / PEFT, с измеримыми результатами • Опыт построения data pipelines и versioning для LLM / RAG workloads • Сильные навыки в evaluation, hallucination reduction и structured output • Production Python + FastAPI + async processing • Опыт с self-hosted inference: vLLM или аналогичные решения • Опыт GPU optimization • Английский язык на уровне C1: strong written and spoken communication skills • Bachelor’s degree или выше в Computer Science, Artificial Intelligence, Machine Learning, Data Science или смежной технической области • 5+ лет опыта в ML/AI • 1.5–2+ года опыта в production LLM projects • Опыт с MLOps Будет плюсом: • Опыт в medical / clinical NLP или regulated domains • Cost modeling и optimization of LLM workloads • MLOps и production fine-tuning pipelines • Apache Airflow, Prometheus / Grafana или AI Solution Architecture • Publications in relevant fields Условия: • Работа в early-stage HealthTech startup с продуктом для US healthcare market • Возможность участвовать в создании AI-powered платформы с реальным влиянием на healthcare-процессы • Офисный формат в Астане первые 7–9 месяцев, далее возможен hybrid/remote • Зарплата $4 000 – $5 000 USD gross + equity • Возможность релокации в США при успешном росте компании, обсуждается индивидуально

Задачи: — Разрабатывать и внедрять классические ML-модели для оценки рисков, выявления мошенничества, прогнозирования оттока и ценообразования. — Создавать функции на базе больших языковых моделей (LLM) и внутреннюю автоматизацию с использованием RAG-пайплайнов и агентных рабочих процессов. — Определять стратегию в области искусственного интеллекта, включая стандартизацию инструментов и разработку фреймворков оценки моделей. — Отвечать за полный жизненный цикл ML: от определения требований заинтересованных сторон до развертывания и мониторинга. — Сотрудничать с руководителем отдела данных для формирования возможностей ML/AI с нуля. Требования: — Опыт профессиональной работы ML-инженером не менее 4 лет с использованием Python в продакшене. — Глубокие знания классического машинного обучения, включая инженеринг признаков и валидацию моделей. — Практический опыт работы с фреймворками LLM, такими как LangChain, LangGraph или LlamaIndex. — Подтвержденный опыт создания систем RAG или продуктов на базе LLM для реальных пользователей. — Опыт работы с основными облачными провайдерами (AWS, GCP, Azure) и контейнерами. — Свободное владение английским языком в письменной и устной форме. Желательно: — Опыт работы с MLOps-инструментами, такими как MLflow, Airflow или Kubernetes. — Опыт работы в сферах финтеха, платежей или телекоммуникаций. Условия: — Комплексный страховой пакет, включающий медицинское, стоматологическое и профессиональное страхование. — 30 дней ежегодного отпуска и дополнительная оплата по уходу за ребенком. — Пособие на оздоровление в размере 5000 SEK и скидки на абонементы в спортзал. — Пенсионный план и программа бонусов на основе результатов работы. — Международная и разнообразная команда в Стокгольме.

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Location: Seoul About the Role Cloudflare’s Forward Deployed Engineer (FDE) program (Or Professional Services Engineer) provides customers with a dedicated, hands-on technical expert embedded directly within their environment. This is not a traditional support or purely advisory engagement—it is a staff-augmentation model where you act as an extension of the customer’s team, taking the lead in managing, optimizing, and evolving their Cloudflare solutions. As a Forward Deployed Engineer, you are a recognized subject-matter expert in your specialization and a trusted advisor to both the customer and Cloudflare leadership. You will own the most complex, high-stakes customer engagements, and contribute to the evolution of Cloudflare's service methodologies and offerings. You operate with a high degree of autonomy, make architectural decisions that impact mission-critical infrastructure, and partner with executive stakeholders to align technical outcomes with business objectives. This role is ideal for senior technologists who have a proven track record of owning end-to-end customer transformations, leading through influence, and scaling expertise across teams. What You Will Do Embed & Integrate Become a trusted, embedded member of the customer’s technical team, operating within their tools, processes, and change-management frameworks. Follow the customer’s change-management process for all hands-on modifications, ensuring risk mitigation and operational continuity. Hands-On Execution Design, configure, and optimize Cloudflare solutions directly within the customer environment. Implement changes, build prototypes, develop automation scripts, and troubleshoot issues in real time. Strategic Advisory & Architecture Provide proactive architectural guidance, roadmap alignment, and best-practice recommendations. Produce Solution Designs, HLDs, LLDs, databuilds, procedures, test plans, deployment plans, migration plans, as-builts, and other artifacts necessary for delivery and smooth handoff. Workshops & Knowledge Transfer Lead technical workshops, knowledge-transfer sessions, and special-event preparation (e.g., product launches, traffic events, security drills, quarterly business reviews). Ensure continuity by documenting decisions, runbooks, and configurations in the customer’s collaborative workspace. Customer Advocacy & Liaison Act as the voice of the customer within Cloudflare, surfacing product gaps, feature requests, and escalation items to Engineering, Support, and Product. Partner closely with the Account Executive, Solutions Engineer, Customer Success Manager, Delivery Leaders and other stakeholders to align on account strategy and expansion opportunities. Experience & Skills Core Requirements 15+ years of experience in a customer-facing technical role. Recognized Expertise in one of the following focus areas with a proven track record of leading complex, enterprise-scale engagements: Applications — Advanced tuning of WAF, Bot Management, API Gateway, DDoS protection, Rate Limiting, and performance optimization for global web properties. Experience designing security architectures for large-scale, multi-zone deployments. Network — Hands-on management of Magic Transit, BYOIP, complex L3/L4 routing, DDoS resilience, and low-latency global connectivity design. Experience with network transformations and MPLS/SD-WAN migrations. Leadership & Mentorship — Demonstrated experience mentoring junior team members, leading technical workshops, and contributing to the development of service methodologies, best practices, and reusable assets. Strong Networking Foundation — Expert-level understanding of the OSI model, TCP/IP, TLS, DNS, and HTTP. Hands-On Technical Skills — Demonstrated ability to implement, configure, and troubleshoot complex solutions. Experience with infrastructure-as-code tools (e.g., Terraform) and scripting (e.g., Python, JavaScript, Bash) is highly desirable. Project & Program Management — Ability to manage multiple competing priorities, work to deadlines, and deliver results in ambiguous or fast-moving environments. Experience scoping and estimating complex engagements. Communication & Executive Presence — Exceptional verbal and written communication skills. Ability to translate complex technical concepts for both technical and executive audience Regional Experience — Experience working with enterprise customers in APJC, ideally within Korea. Understanding of regional compliance requirements, business culture, and technical ecosystems. Preferred Qualifications Experience in heavily regulated industries (Public Sector, Financial Services, Healthcare) or complex legacy-migration environments. Relevant industry certifications: CISSP, CCIE, AWS, GCP, Azure certifications, or equivalent. Familiarity with Agile methodologies and enterprise change-management processes. Prior experience with Cloudflare’s product suite and edge-network ecosystem. What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: Metn, Lebanon The Company Toters is an on-demand e-commerce and delivery platform that enables customers to get anything in their city with the highest level of convenience. At Toters, technology is at the heart of everything we do. Our product teams build features that simplify customers’ lives, while our engineers create scalable solutions to deliver faster and more cost-effectively. If you thrive in a high-growth startup environment and want to help reshape how people shop across the Middle East, join us. Role Overview As a Senior Offensive Security Engineer (L5), you will own complex offensive security initiatives that span multiple teams. You will lead advanced penetration testing, red team exercises, and adversarial simulations to uncover systemic weaknesses in our web applications, APIs, mobile apps, cloud infrastructure, identity, payment-adjacent flows, and overall attack surface. You will act as a hands-on technical leader : influencing secure design decisions with evidence, mentoring mid-level and junior offensive engineers, and driving improvements that meaningfully reduce risk. Description In this senior role, you will take end-to-end ownership of offensive security efforts with a focus on high-impact outcomes. Your responsibilities include: Lead comprehensive penetration tests and red team / assumed-breach exercises targeting web applications, APIs, mobile applications, cloud infrastructure, and authentication systems (including identity and privileged-access paths). Lead mobile offensive testing on Android and iOS, including evaluation and bypass/validation of runtime protection, tamper resistance, certificate pinning / Certificate Transparency, and key/secret shielding using DexProtector or similar RASP / app-shielding tools, plus complementary tooling such as MobSF. Perform in-depth threat modeling and identify complex attack paths across services and trust boundaries (including authorization flaws, tenant isolation, token/session issues, edge/WAF bypass, and client-secret exposure). Deliver high-quality security assessment reports with clear risk ratings, business impact analysis, practical remediation guidance, and evidence quality that engineering and audit stakeholders can use in a SOC 2 and PCI DSS context—then re-test and validate fixes before closure. Collaborate with Engineering, DevOps, Product, and the Security Engineer track to influence secure architecture decisions and ensure vulnerabilities are addressed at the root cause. Develop and improve offensive security methodologies, tools, and automation to increase efficiency and coverage. AI-assisted testing is a must. Mentor mid-level and junior offensive security engineers, conduct offensive-focused code/design reviews, and help raise the overall security capability of the team. Participate in purple team exercises with the detection and incident response teams to improve defenses based on real attack simulations. Stay at the forefront of offensive security research, emerging threats, and TTPs, and assess their relevance to Toters. Contribute offensive input to security standards, policies, and secure development practices across the engineering organization (you advise; you do not own policy issuance or GRC evidence packs). Support structured disclosure (VDP / researcher reports) through reproduce, rate, de-duplicate, and validate. Key Qualifications Bachelor’s degree in Computer Science, Cybersecurity, or a related field, or equivalent practical experience. 6+ years of hands-on experience in offensive security, penetration testing, or red teaming. Strong expertise in web application, API, and mobile security testing (Android and iOS). Working knowledge of DexProtector or similar mobile shielding / RASP tooling: what it protects, how testers evaluate residual risk, and how to validate that hardening holds. Advanced proficiency with offensive security tools (Burp Suite, Metasploit, Cobalt Strike or equivalent adversary-emulation platforms, custom tooling, etc.). Proficient in writing robust, reusable scripts and small tools for automation (Python preferred, Bash for quick tasks). Solid experience with cloud security testing (AWS preferred) and infrastructure attack techniques. Proven ability to lead complex security assessments from scoping to reporting and remediation validation. Strong risk assessment and threat modeling skills, with the ability to communicate technical risks clearly to both technical and non-technical stakeholders. Familiarity with SOC 2 and PCI DSS as they apply to offensive work (scoped pentests, application/API/payment-adjacent testing, evidence-quality reporting). This role does not own control design or audit evidence collection. Experience mentoring engineers and influencing cross-team security practices. Excellent written and verbal communication skills in English. Nice to Have Industry-recognized certifications such as OSCP, OSCE, OSEP, CRTO, or PNPT. Experience running full-scope red team or assumed-breach exercises. Experience developing custom exploits, tooling, or automation for offensive security. Knowledge of MITRE ATT&CK and adversary emulation. AI and AI pentesting: testing LLM/agent applications (prompt injection, tool/plugin abuse, data-exfil via agents) and using AI-assisted pentest workflows with mandatory human review. Previous experience in high-scale e-commerce, delivery, or fintech environments, including payment API / tokenization / third-party PSP testing as a tester (not as PCI control owner). Fluency in Arabic and English (French is a plus). What We Offer Competitive compensation package. Discounts on Toters orders. First-class medical insurance. Ready to own offensive security at scale and help build a safer platform for millions across the Middle East? Apply now!

Location: Bengaluru, Karnataka, India Why Cast AI? Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production. The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation. Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS. Global team, diverse perspectives We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead. Unicorn momentum In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started. Join us as we build the future of autonomous infrastructure. About the role Our customer-obsessed Customer Success team serves as the critical bridge between our customers and Cast AI, representing both the voice of the customer to Cast AI and the voice of Cast AI to the customer. The CS Team lives by the core values of being Smart, Humble, and Hungry. We value technical excellence, a collaborative mindset, and a strong drive to succeed. Cast AI is looking for a Technical Support Engineer with a robust Kubernetes troubleshooting and administration background. If you thrive in a fast-paced environment, enjoy the challenge of solving complex technical problems, and have a passion for cloud technologies, you could be the perfect fit for our team. Requirements : 3+ years of hands-on experience in Kubernetes administration and troubleshooting, including cluster management, networking, and storage. Strong Linux/Unix fundamentals and experience working in distributed, containerized environments. Experience with at least one major public cloud provider (AWS, Azure, GCP). Experience supporting customers in a SaaS or cloud-native environment. Exceptional problem-solving abilities and a passion for diagnosing and resolving complex technical issues. Strong written and verbal communication skills to interact with technical and non-technical stakeholders. A collaborative mindset, with the ability to drive cross-functional projects and align teams. Excellent English to support global customers; other languages are an advantage. Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Nice to Have: CKA or CKAD Certification Terraform Certification Cloud Architect Certification Responsibilities: Serve as the primary Cast AI subject matter expert, delivering deep technical guidance and authoritative support to customers. Collaborate closely with customers to troubleshoot and resolve complex technical issues, ensuring clear communication and effective problem-solving throughout the process. Own customer issues from intake through resolution, driving timely outcomes that minimize downtime and improve system performance and reliability using Cast AI. Document and share knowledge by contributing to internal knowledge bases, creating technical guides, and outlining best practices to support both customers and internal teams. Provide mentorship and support to junior team members, fostering skill development and contributing to a strong, knowledgeable team environment. Participate in an on-call rotation, delivering critical after-hours assistance to maintain high levels of customer satisfaction and trust. What’s in it for you? Competitive salary. Enjoy a flexible, remote-first global environment. Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology. Equity options. Premium health insurance. Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks. Spend 10% of your work time on personal projects or self-improvement. Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills. Annual hackathon to spark new ideas and strengthen team bonds. Team-building budget and company events to connect with your colleagues. Equipment budget to ensure you have everything you need. Extra days off to help maintain a healthy work-life balance. What’s in it for you: Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology. Enjoy a flexible, hybrid work environment. Equity options. Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills. Team-building budget and company events to connect with your colleagues. Equipment budget to ensure you have everything you need. Hiring process Screening call with Recruiter Hiring Manager interview 1-2 additional interviews based on the role Culture Check interview with an executive *As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr. *Please note that Cast AI does not provide any form of visa sponsorship/work permit. #LI-Remote

Location: Belgrade Workplace: Hybrid Perplexity is looking for a Backend/Infrastructure Engineer Intern to support our small, high-impact team building the systems that power our search experience. You will work closely with experienced engineers to help design, build, and operate robust infrastructure and backend services that keep Perplexity fast, reliable, and scalable. Internship program: 12 - 24 weeks, full-time, part-time, in-person in the Belgrade office. Responsibilities: - Build and maintain infrastructure that supports high-performance search systems, with mentorship from senior engineers. - Design internal tools and automation to improve developer workflows and operational efficiency. - Support the design, deployment, and monitoring of cloud-native systems on AWS. - Contribute to improving CI/CD pipelines, testing infrastructure, and release processes. - Debug and optimize Linux-based services, containers, and backend systems. - Contribute to product codebases, primarily using Rust, Go or C++. Qualifications: - Working towards a degree in Computer Science, Engineering, or a related field, or equivalent practical experience. - Familiarity with at least one programming language such as Go, Rust, or C/C++, through coursework or projects. - Basic understanding or exposure to cloud infrastructure (e.g. AWS) and Linux systems is a plus, not a requirement. - Interest in infrastructure, distributed systems, or backend engineering, with willingness to learn about CI/CD, monitoring, and performance. - A proactive and curious learner who enjoys collaborating in a fast-paced, innovative environment What we're looking for: - You’ve built something you’re proud of: Not just a class assignment - we want to see a project you genuinely cared about and took the initiative to build and finish. - You’re currently enrolled at a Serbian university: Bachelor’s, Master’s, or PhD program or you’re self-taught with a strong passion for software engineering and technology. - You’re curious, persistent, and self-driven: you take ownership, work through challenges, and follow through on what you start. - You’re eager to learn and improve: you’re willing to put in the work, develop your skills, and get better every week. - You’re comfortable working in English: in a collaborative, professional environment. - You thrive in a high-performance environment: you’re comfortable with high standards, direct feedback, and a fast pace. - You’re willing to challenge and be challenged: You’re comfortable asking questions, sharing your perspective, and pushing back constructively when it matters.

Location: Belgrade Workplace: Hybrid Perplexity is looking for a Backend/Infrastructure Engineer Intern to support our small, high-impact team building the systems that power our search experience. You will work closely with experienced engineers to help design, build, and operate robust infrastructure and backend services that keep Perplexity fast, reliable, and scalable. Internship program: 12 - 24 weeks, full-time, part-time, in-person in the Belgrade office. Responsibilities: - Build and maintain infrastructure that supports high-performance search systems, with mentorship from senior engineers. - Design internal tools and automation to improve developer workflows and operational efficiency. - Support the design, deployment, and monitoring of cloud-native systems on AWS. - Contribute to improving CI/CD pipelines, testing infrastructure, and release processes. - Debug and optimize Linux-based services, containers, and backend systems. - Contribute to product codebases, primarily using Rust, Go or C++. Qualifications: - Working towards a degree in Computer Science, Engineering, or a related field, or equivalent practical experience. - Familiarity with at least one programming language such as Go, Rust, or C/C++, through coursework or projects. - Basic understanding or exposure to cloud infrastructure (e.g. AWS) and Linux systems is a plus, not a requirement. - Interest in infrastructure, distributed systems, or backend engineering, with willingness to learn about CI/CD, monitoring, and performance. - A proactive and curious learner who enjoys collaborating in a fast-paced, innovative environment What we're looking for: - You’ve built something you’re proud of: Not just a class assignment - we want to see a project you genuinely cared about and took the initiative to build and finish. - You’re currently enrolled at a Serbian university: Bachelor’s, Master’s, or PhD program or you’re self-taught with a strong passion for software engineering and technology. - You’re curious, persistent, and self-driven: you take ownership, work through challenges, and follow through on what you start. - You’re eager to learn and improve: you’re willing to put in the work, develop your skills, and get better every week. - You’re comfortable working in English: in a collaborative, professional environment. - You thrive in a high-performance environment: you’re comfortable with high standards, direct feedback, and a fast pace. - You’re willing to challenge and be challenged: You’re comfortable asking questions, sharing your perspective, and pushing back constructively when it matters.

Location: Bucharest Workplace: Hybrid As an engineer focused on backend systems at Alchemy, you'll be working with one of the most sophisticated and high-throughput distributed systems in the blockchain world. You'll focus on architecting and building new systems as well as improving existing ones for a platform that supports millions of users globally. You'll have the autonomy to shape technical solutions, influence architectural decisions, and own services throughout their lifecycle. WHAT YOU'LL DO - Design, build, and maintain backend infrastructure, APIs, and services at scale. - Own the architecture and implementation of distributed systems behind high-volume, low-latency APIs. - Solve hard scalability, latency, and performance problems in live production systems. - Lead system design discussions and shape the direction of our backend architecture. - Set the best practices for backend development—throughput, reliability, and latency. - Validate performance through automated testing, benchmarking, and production-driven improvements. - Trace production issues across services and the full stack, and ship fixes that durably improve reliability. WHAT WE'RE LOOKING FOR - 5+ years of relevant industry experience. - BS/BA degree in Computer Science or equivalent practical experience. - Experience designing, building, scaling, and maintaining core backend components - Ability to solve complex design, scalability, latency, or performance problems in high-throughput, low-latency production systems. - Production experience with Java, Rust - Experience in cloud-native environments, particularly AWS. - Experience with managed Kubernetes platforms such as Amazon EKS is a plus. - Comfortable working across the stack, with a willingness to dive into infrastructure and platform challenges when the problem calls for it. - Experience building highly available and scalable distributed systems. - You're a self-starter who takes ownership, moves fast, and knows when to obsess over the details—and when it's time to ship. - Curiosity about emerging technologies and a desire to continuously learn and explore new ideas. - Web3 experience, a plus - Founded a company or built side projects, a plus - Experience in startups, a plus BENEFITS & PERKS 🏥 Private Health Insurance 💪 Gym Reimbursement 🌴 Flexible Time Off 🥙 In-Office Group Meals 🧠 Learning & Development Stipend 🌎 Company Sponsored Conferences & Events 🎧 Books & Audiobook subscription with Bookster https://landing.bookster.ro/

Задачи: — Поддержка и развитие backend-продукта — Реализация нового функционала — Участие в архитектурных решениях — Масштабирование сервисов — Работа с производительностью и стабильностью — Улучшение качества кода Требования: — Реальный коммерческий опыт — Системное инженерное мышление — Самостоятельность — Спокойствие к изменению приоритетов — Понимание архитектуры и продакшена Условия: — Работа в продуктовой команде, где backend — ядро системы: обработка данных, интеграции, автоматизация процессов, масштабирование и стабильность — Без хаоса и микроменеджмента — С понятными процессами — Возможность влиять на продукт — Регулярная оценка вклада Технологии: Основной стек: Python 3.x, Django + DRF, PostgreSQL, Celery + Redis, Docker, Nginx, AWS Будет плюсом: GraphQL (Strawberry), cacheops, опыт highload, работа с AI / обработкой изображений