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Location: Czechia; Ukraine; Hungary Workplace: Remote At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 ClickUp is on the lookout for talented backend engineers to join the Fields squad at ClickUp! Fields is the heart and soul behind our custom task data - think dynamic schemas, high-volume updates, and the flexibility that lets users tailor ClickUp to their individual workflows. We’re building scalable, high-throughput, low-latency services that handle millions of requests daily. If wrangling distributed systems, fine-tuning performance, and designing robust APIs sounds like your idea of fun, let’s chat.   Role: - Build features and systems with attention to detail and performance. - Own end-to-end development, from conception to production. - Work closely with cross-functional stakeholders to deliver a world-class product. - Identify and implement improvements to our existing systems. - Help establish a fun, fulfilling, world-class engineering culture. Qualifications: - Bachelor’s degree in Computer Science or equivalent major. - 5+ years of experience engineering performant and high-throughput systems (ideally on Node.js). - You write high quality code (ideally in TypeScript) and are uniquely productive. - You have a track record of building performant, high-throughput systems. - You have experience writing and debugging sql queries at scale. - You have experience developing event based systems. - You have experience with major cloud services (ideally AWS). - You are an empathetic communicator. - You are comfortable with ambiguity and have consistently delivered projects with little direction. - You are product-minded and have a good intuition on what a great user experience looks like.   #LI-REMOTE #LI-MAV Equal Opportunity Employer ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. Privacy Notice ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. https://clickup.com/careers-terms/candidate-privacy-notice If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details. Visa Sponsorship Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions. Fraud Alert ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com. AI Processing Notice ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.

Location: New York City, NY; San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are looking for software engineers to help build safety and oversight mechanisms for our AI systems. As a software engineer on the Safeguards team, you will work to monitor models, prevent misuse, and ensure user well-being. This role will focus on building distributed and scalable systems to detect unwanted model behaviors and prevent disallowed use of models. You will apply your technical skills to uphold our principles of safety, transparency, and oversight while enforcing our terms of service and acceptable use policies. Responsibilities: Independently scope and lead complex, multi-month infrastructure projects, from an ambiguous starting point through to a production system Develop monitoring systems to detect unwanted behaviors from our API partners and potentially take automated enforcement actions; surface these in internal dashboards to analysts for manual review Stand up and run deployments of those monitoring systems across multiple clouds, including inside cloud-provider partner environments where data residency laws apply. Keep the deployments consistent through shared deployment pipelines, smoke tests, observability, and alerting Design and harden the sandboxed runtime that AI agents execute in: isolation, network egress controls, least-privilege data access, audit logging, and insider-risk controls Manage cost and capacity for large volumes of long-running agent work, and set and meet service-level objectives for the platform Partner with the engineers and researchers who write and evaluate the monitoring agents, and with security, privacy, and legal teams, so new detection work can ship quickly on a platform everyone trusts You may be a good fit if you: Bachelor’s degree in Computer Science, Software Engineering or comparable experience Proficiency in Python, Distributed Systems, and Infrastructure as Code Have worked across multiple cloud providers, or built infrastructure designed to be provider-agnostic Have built and operated large-scale, distributed infrastructure, such as data platforms, control planes, or job schedulers Have experience with sandboxing and isolation technologies (containers, microVMs, network policy) or with a systems language such as Rust Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders Strong candidates may also: 8+ years of experience in a software engineering position, not including internships Have built systems that handle sensitive or regulated data, with requirements around access control, auditability, retention, and data residency Have experience running LLM-based agents in production Have experience with integrity, spam, fraud, or abuse detection and mitigation Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Требования: — Опыт работы не менее 2 лет в области Embedded Engineering.

Location: Limassol, Cyprus Workplace: on-site Mayflower is a technology company building large-scale entertainment products for a global audience. Our platforms serve millions of users worldwide and rank among the top-50 most visited websites globally. For more than 10 years, we've been creating reliable, high-performance solutions at the intersection of product, engineering, and entertainment. Responsibilities Design, develop and maintain data pipelines (python, SQL, Airflow, dbt, k8s, Spark) Support data platform in terms of data integrations, data quality, technical implementation Conduct new data integrations Ensure data quality Documenting your solutions Provide support to analytic teams Important/challenging tasks: Develop a centralized Data Store. Design and build resilient data transformation pipelines across multiple business domains. Develop tools and frameworks for data transformation. You’ll thrive here if you have At least 3 years working as a data engineer Python programming (outside of Airflow) Working with docker SQL advanced Kafka, Airflow, Spark dbt as a plus Column store DBs (clickhouse as a plus) S3/iceberg as a plus Understanding how web applications work Qualification that can be a plus: Working with k8s (as a plus) Experience with data-mesh approach Conditions We know that great talent deserves great conditions, so here's what you can expect when joining us: EU-based employment contract and a 3-year Cyprus work visa with full support for your relocation and visa processes, including assistance for your family. EU passport. Opportunity to obtain an EU passport after 4 years of residence Full relocation package: flights to Limassol for you and your family, a company-covered apartment for the first month, and full relocation support to make your move smooth and hassle-free. Provident fund (Cypus): a long-term savings plan co-funded by you and the Company together (available after probation) that grows throughout your time with us in Cyprus. Transparent performance reviews twice a year, with bonus opportunities and salary adjustments. Private medical insurance for you and your family Corporate mobile plan (unlimited in Cyprus with roaming included) Mindfulness & well-being support, including psychological assistance with 50% coverage. 50% coverage of school and kindergarten fees for your children. Fully covered sports benefits, and also access to in-house electric scooters and bike rentals Professional growth support: language courses, conferences, training programs, and coaching. Peer recognition program: receive and share kudos for great work. A fully equipped office in Limassol’s city center, with everything you need for deep work and collaboration. Free breakfasts and lunches in the office and an in-house coffee bar with high-quality drinks and a health bar stocked with nutritious snacks. A strong engineering culture: international teams, corporate events, team buildings, and hackathons — because great work happens in great communities.

Задачи: — Участвовать в проектировании и реализации высокопроизводительных, масштабируемых и оптимизированных дата-решений. — Создавать модели данных с нуля, используя сильные навыки SQL. — Писать и оптимизировать SQL-запросы внутри приложений. — Обеспечивать производительность, безопасность и доступность баз данных. — Готовить документацию и технические спецификации. — Выполнять процедуры с базами данных: обновления, резервное копирование, восстановление и миграция. — Профилировать использование ресурсов сервера и оптимизировать конфигурации. — Проектировать, строить и автоматизировать развертывание дата-пайплайнов и приложений. — Интегрировать данные из локальных баз и внешних источников через REST API и инструменты сбора данных. — Сотрудничать с бизнес-подразделениями и командами дата-сайенс по вопросам доступа, трансформации, обработки и отчетности данных. — Поддерживать внедрение, технические вопросы и обучение, связанные с экосистемой data lake. — Управлять AWS-ресурсами, включая кластеры EMR и ECS. — Поддерживать обеспечение, мониторинг, конфигурацию и обслуживание AWS-инструментов. — Оценивать и внедрять новые облачные технологии для улучшения возможностей и снижения затрат. — Поддерживать автоматизацию с использованием Infrastructure as Code (Terraform) и CI/CD (Jenkins). — Реализовывать управление данными, контроль доступа и снижение рисков безопасности. Требования: — 7-9 лет опыта проектирования и разработки облачных моделей данных, ETL-пайплайнов и инфраструктуры. — Опыт работы с структурированными и неструктурированными данными. — Отличное владение SQL для популярных баз данных. — Опыт оптимизации больших и сложных SQL-запросов. — Знание лучших практик реляционных баз данных. — Опыт настройки движков баз данных и оркестрации кластеров. — Умение планировать ресурсы по высоким спецификациям. — Навыки устранения типичных проблем с базами данных. — Опыт работы со Spark, Glue, EMR, Apache Kafka или AWS Kinesis. — Опыт с системами контроля версий Git или Subversion. — Опыт использования автоматизированных систем сборки и CI/CD. — Программирование на Java, Python и Scala. — Знание структур данных и алгоритмов. — Знание реляционных, NoSQL, графовых, документных, key-value и временных баз данных. — Знание масштабируемого проектирования и управления моделями данных. — Знание деплоя ML-моделей. — Знание AWS cloud платформ. — Знание TDD и BDD. — Сильный интерес к улучшению навыков разработки ПО, фреймворков и технологий. Условия: — Возможность работать с моделированием данных, сервисами данных и дата-сайенсом в рамках платформы Data Intelligence. — Работа в разнообразной технической среде: AWS, ETL-пайплайны, базы данных, поисковые технологии, рекомендательные системы. — Прямое взаимодействие с командами дата-сайенс и внутренними заинтересованными сторонами по вопросам отчетности, трансформации и возможностей платформы.

Location: Renton, Washington, 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. At Wizards of the Coast, we connect people around the world through play and imagination. From our genre-defining games like Magic: The Gathering® and Dungeons & Dragons® to our growing multiverse, we continue to innovate and build new ways to foster friendship and connection. That’s where you come in! The cloud platform underpins how services are built, deployed, secured, and operated across the organization. As a Principal Cloud Infrastructure Engineer, you will define and drive the governance model and automation strategy for cloud infrastructure. This includes setting policy-as-code standards, automating compliance and cost controls, and ensuring infrastructure is provisioned and operated through consistent, auditable, self-service pathways rather than tailored or manual processes. You will operate at both a strategic and hands-on level and will set direction for how cloud resources are governed and automated while also building the tooling and guardrails that make that direction real. Success in this role means engineering teams can self-service the build and operation of infrastructure with confidence that it is secure, cost-aware, and consistent by default, without slowing delivery down. What you'll do Cloud Governance Define and enforce policy-as-code standards (tagging, naming, encryption, network segmentation, access boundaries) across cloud accounts/subscriptions Establish guardrails using tools such as OPA, Sentinel, AWS Config/Service Control Policies to report on and prevent drift from approved patterns Partner closely with Security/IAM to deliver least-privilege enforcement and access-control requirements directly in our self-service capabilities while ensuring compliance and auditability. Embed cost governance and reporting (budgets, anomaly detection, showback/chargeback) into provisioning workflows Automation & Infrastructure as Code Drive the organization's Infrastructure-as-Code standards (e.g., Terraform/Terraform Cloud, Pulumi) Establish and maintain reusable, versioned modules and contribution standards that embed governance requirements by default. Automate environment provisioning, drift detection/remediation, and lifecycle management so policy compliance doesn't depend on manual review Stay ahead of AI-native tooling and bring forward practical opportunities balancing risk, fit, value, measurability, and alignment to company goals. Platform & Developer Enablement Develop golden paths for infrastructure provisioning and service deployment that make the guided path the easiest path Partner on developer platform tooling and integrations (CI/CD, container registries, managed data services, observability) where they intersect with governance and automation. What you'll bring Experience & Skills 8+ years in cloud engineering, DevOps, or platform engineering, including experience operating at a principal or staff level (setting direction, not just implementing) Deep experience with major Cloud Platforms (AWS, Azure, or GCP), ideally across more than one Deep hands-on experience with Infrastructure-as-Code (Terraform and/or Pulumi) at scale, including module design and state/workspace management Direct experience implementing policy-as-code and cloud governance frameworks Experience with cloud cost management/FinOps practices and tooling Familiarity with CI/CD platforms, container registries, and observability tooling as consumers of the standards you build Exposure to applying AI tooling to infrastructure problems (policy review, anomaly detection, automation) is a plus Collaboration & Communication Ability to influence across platform, security, FinOps, and product engineering teams without direct authority Strong documentation and communication skills; able to make the case for standards to both engineers and leadership Experience mentoring engineers and setting technical direction beyond your own immediate team Experience with platform advocacy, working with partners to understand infrastructure needs in collaboration with Product. We are an Equal Opportunity / Affirmative Action Employer At Wizards, we believe in the magic of diversity—great ideas come from unique perspectives. We are committed to building an inclusive, welcoming workplace where everyone belongs. Wizards is an equal opportunity employer and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, or any other legally protected status. Wizards will provide reasonable accommodations with the application process, upon your request, as required to comply with applicable laws. If you have a disability and require assistance in this application process, please contact your recruiter or coordinator. #Wizards 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 $172,600 — $259,000 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: Paris ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE We are seeking experienced and highly motivated Technical Program Managers (TPMs) to join our Engineering organization and drive the delivery of high-impact technical projects. In this role, you will plan, execute, and oversee complex programs aligned with our strategic goals. Success requires a combination of technical expertise, project management excellence, hands-on engagement, and strong cross-functional leadership to ensure projects are delivered on time, within budget, and to the highest standards. The TPM role spans multiple critical areas of program management: Functional/Technical Support – Collaborate with teams to refine and communicate roadmaps, organize delivery, maintain project tracking tools, identify dependencies, and proactively track blockers. Work closely with Product Managers to escalate risks and ensure alignment. Engineering Operations – Drive efficiency by automating processes and championing their adoption across Engineering teams, reducing manual effort and enabling scalable, consistent workflows. Customer Programs – Partner directly with key enterprise customers to support deployments, ensuring timely delivery of specialized features from Product Engineering teams. Release & Portfolio Management – Coordinate model releases with Science Program Managers and product releases with Engineering Program Managers to maintain seamless execution. LOCATION & OFFICE POLICY   The position is based in our Paris HQ offices and we encourage going to the office as much as we can (at least 3 days per week) to create bonds and smooth communication. Our remote policy aims to provide flexibility, improve work-life balance and increase productivity. Each manager can decide the amount of days worked remotely based on autonomy and a specific context (e.g. more flexibility can occur during summer). In any case, employees are expected to maintain regular communication with their teams and be available during core working hours. WHAT YOU WILL DO Program Management — Oversee and manage our development and deployment processes, ensuring efficiency, effectiveness, and alignment with product timelines. Cross-Functional Collaboration — Work closely with cross-functional teams, including Engineering, Product, Science, Marketing/Coms teams, Design, and Solutions to ensure alignment of engineering operations with overall product and business objectives. Project Delivery — Track project progress, timelines, and resources. Assist teams to implement processes to smoothen delivery process. Process Improvement — Continuously identify and implement process improvements to enhance the efficiency and productivity of the engineering team, in coordination with the other TPMs. Stakeholder Management — Regularly communicate with stakeholders to provide updates on program status, risks, and issues, and to manage expectations. Risk Management — Identify potential risks and issues in the program lifecycle, and develop contingency plans to mitigate them. WHAT WE'RE LOOKING FOR • You hold a degree in a relevant scientific field (e.g., Computer Science, Data Science, Engineering, etc.) • You have proven experience in managing technical programs, preferably within an engineering team. • You have a strong understanding of software lifecycle management and deployment processes • You have excellent project management skills, with the ability to run multiple complex programs smoothly • You are thriving in cross functional collaboration and you know how to adapt your communication to stakeholders • You are highly organized and knows how to manage cross team dependencies • You are a proactive problem-solver with a continuous improvement mindset. • You have strong design thinking skills and feel comfortable with actively contributing to architecture decisions Ideally, you have: • Experience as a Software Developer. • Already worked in an AI company/project. • Knowledge of how LLMs are built and work. • Already worked as a Technical Program Manager WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Buymie — мобильная платформа, предоставляющая услуги по доставке продуктов по всей Ирландии. Компания была признана Deloitte самой быстрорастущей технологической компанией в Ирландии. Размер команды — 51-200 человек, инвестиции — €17M. Требования: — 5+ лет опыта — Владение Angular — Владение TypeScript — Опыт работы с REST — Свободное владение английским языком Контекст: — CEO и ко-фаундер — Devan Hughes — В компании работает много русскоговорящих сотрудников

Maqsad: Java dasturlash bo‘yicha bilim va tajribamni shogirdlarga samarali tarzda yetkazish, ularni amaliy loyihalar orqali mustaqil backend dasturchi darajasiga olib chiqishni maqsad qilganman. Tajriba: 4.5 yildan ortiq to'plangan tajribalar asosida real proyektlarda code yozish usullarini o'rgatish. Mentorlik: 1.5 yillik mentorlik tajribaga egaman, pdp academy da mentor bo'lib ishlaganman. Hozirda 5 nafar shogird olmoqchiman.

Location: Poland; Georgia Workplace: Remote Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes. Following the acquisition of Tooploox, a premier AI and product development company, Solvd now offers true end-to-end delivery—from strategic advisory and solution design to custom AI development and enterprise-scale implementation. Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively. We are looking for an Application Security Engineer to join a greenfield digital news platform build for a major international news brand. Security is not a pre-launch checklist here — it is an engineering requirement embedded across every phase of delivery, from architecture through launch and into multi-year support. You'll be the security authority on a full-lifecycle engagement, validating controls across a composable CMS, video pipeline, advertising integrations, personalisation services, and public-facing APIs — on a platform designed to sustain extreme traffic during breaking-news events. WHAT YOU'LL DO - Define and validate application and platform security controls across all delivery phases. - Perform architecture and threat-model reviews at design stage and as the platform evolves. - Review authentication, authorization, and privileged-access controls across CMS, APIs, and integrated services. - Validate API and integration security across a composable, multi-vendor platform architecture. - Review secrets, credentials, and token-management practices across the full stack. - Support vulnerability scanning and penetration-testing activities — coordinating findings and remediation. - Validate encryption and secure data handling across storage, transit, and third-party integrations. - Review security logging, monitoring, and incident-response requirements. - Support GDPR and privacy engineering requirements throughout delivery. - Conduct third-party security assessments for integrated services and vendors. - Provide remediation guidance and produce security acceptance evidence ahead of launch. BASIC QUALIFICATIONS - 5+ years of experience in application security, security engineering, or a closely related role. - Experience performing threat modelling and architecture security reviews on complex, multi-component platforms. - Strong knowledge of authentication and authorization patterns — OAuth, OIDC, RBAC, privileged access management. - Hands-on experience validating API security and reviewing integration patterns across third-party services. - Solid understanding of secrets management, credential handling, and token lifecycle best practices. - Experience supporting or coordinating vulnerability scanning and penetration testing programmes. - Knowledge of encryption standards and secure data handling practices across storage and transit. - Familiarity with GDPR and privacy-by-design engineering requirements. - Ability to produce clear remediation guidance and security acceptance documentation for engineering and delivery teams. PREFERRED QUALIFICATIONS - Experience securing composable CMS or media platform architectures — AEM, Amplience, or similar. - Background working on high-traffic, public-facing platforms where availability and security intersect. - Experience with security logging and monitoring tooling — SIEM, alerting, incident response playbooks. - Familiarity with third-party vendor security assessment processes. - Relevant certification — CISSP, OSCP, CEH, or equivalent. - Experience working within a phased, full-lifecycle delivery programme alongside engineering and architecture teams. When you join Solvd, you'll… - Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation. - Be part of a global team with equal opportunities for collaboration across continents and cultures. - Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards. Ready to make an impact? If you're excited to build things that matter, champion responsible AI, and grow with some of the industry’s sharpest minds. Apply today and let’s innovate together. Solvd is an equal opportunity employer.

Location: Poland; India; Georgia Workplace: Remote Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes. Following the acquisition of Tooploox, a premier AI and product development company, Solvd now offers true end-to-end delivery—from strategic advisory and solution design to custom AI development and enterprise-scale implementation. Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively. We are looking for a CMS & DAM Engineer to join a greenfield digital news platform build for a major international news brand. There is no legacy system, no migration burden — this is a new platform built from scratch, video-first and breaking-news-first, designed to sustain extreme traffic during major events and support complete newsroom workflows from draft to publish. You'll own the CMS configuration and digital asset management layer end-to-end — from content models and editorial workflows through DAM taxonomy, rights management, and integrations with video, search, and distribution services. This is a full-lifecycle engagement: discovery, build, launch, and multi-year support. WHAT YOU'LL DO CMS Configuration & Development - Configure and develop the selected CMS platform — AEM or Amplience. - Implement content models, templates, components, and editorial configurations. - Configure authoring, approval, scheduling, and publishing workflows to support full newsroom operations. - Support breaking-news and major-event editorial capabilities, including homepage mode-switching under high traffic. - Implement taxonomy and structured-content models. - Configure permissions and newsroom roles. - Implement preview and publishing capabilities. - Develop CMS extensions where native functionality does not meet requirements. - Integrate CMS with DAM, search, video, and downstream distribution services. - Support testing, editorial training, and production stabilization. Digital Asset Management - Own the design and configuration of digital asset management workflows end-to-end. - Define image and video metadata structures, taxonomy, credits, captions, source, and rights metadata. - Design embargo, licence, and expiration management workflows. - Establish image rendition, crop, and focal-point workflows. - Define duplicate and near-duplicate asset handling approaches. - Design asset usage and reference tracking. - Establish replacement, restriction, and takedown workflows. - Integrate DAM with CMS, video pipeline, and distribution services. - Support asset migration, editorial training, and operational governance. BASIC QUALIFICATIONS - Hands-on experience configuring and developing on AEM or Amplience in a production environment. - Experience implementing content models, editorial workflows, and publishing pipelines for a content-heavy platform. - Strong understanding of DAM concepts — metadata, taxonomy, rights management, renditions, and asset lifecycle. - Experience integrating CMS and DAM systems with third-party services — video platforms, search, CDN, or distribution APIs. - Ability to configure permissions and role-based access for multi-user editorial teams. - Experience working on structured, phased delivery programmes with clear milestones and launch targets. - Strong communication skills — able to work with editorial, product, and engineering stakeholders. PREFERRED QUALIFICATIONS - Experience delivering CMS/DAM solutions for news, media, or publishing organizations. - Familiarity with breaking-news editorial workflows and high-traffic event scenarios. - Experience with video asset management and broadcast clip ingestion pipelines. - Knowledge of GDPR compliance requirements as they apply to content and media platforms. - Experience with accessibility standards for content-heavy web platforms. - Familiarity with AI-assisted development tooling. - Experience supporting editorial training and operational handover programmes. When you join Solvd, you'll… - Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation. - Be part of a global team with equal opportunities for collaboration across continents and cultures. - Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards. Ready to make an impact? If you're excited to build things that matter, champion responsible AI, and grow with some of the industry’s sharpest minds. Apply today and let’s innovate together. Solvd is an equal opportunity employer.

Location: Poland; India; Georgia Workplace: Remote Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes. Following the acquisition of Tooploox, a premier AI and product development company, Solvd now offers true end-to-end delivery—from strategic advisory and solution design to custom AI development and enterprise-scale implementation. Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively. We are looking for a Video & Streaming Engineer to join a greenfield digital news platform build for a major international news brand. Video is not a feature here — it is the product. The platform is built around an always-on livestream, automated broadcast clip ingestion, and a player architecture that needs to perform reliably under the extreme traffic conditions of breaking-news events. You'll own the video and streaming layer end-to-end: platform integration, adaptive playback, livestream workflows, newsroom clipping tools, advertising, analytics, and resilience testing ahead of launch. WHAT YOU'LL DO - Own video, livestream, and player technical implementation across the platform. - Integrate the selected video platform and player with the broader content and delivery architecture. - Implement adaptive bitrate streaming and device-aware playback across web and mobile environments. - Support livestream and breaking-news streaming workflows — including failover and resilience requirements. - Implement clipping and newsroom video-processing capabilities for broadcast clip ingestion and editorial use. - Integrate captions, subtitles, thumbnails, and poster frames. - Support rights management, availability-window controls, and geoblocking requirements. - Integrate video advertising and analytics capabilities. - Implement playback telemetry, error handling, and fallback logic. - Support load testing, resilience validation, and major-event readiness testing ahead of launch. BASIC QUALIFICATIONS - Hands-on experience integrating and configuring enterprise video platforms — Brightcove, JW Player, Mux, THEOplayer, or similar. - Strong understanding of adaptive bitrate streaming — HLS, DASH — and device-aware playback implementation. - Experience implementing livestream workflows in a production environment. - Familiarity with video processing concepts — clipping, transcoding, thumbnail generation, caption and subtitle integration. - Experience integrating video advertising — VAST, VPAID, or similar — and video analytics. - Ability to implement playback telemetry, error detection, and fallback handling. - Experience supporting performance and resilience testing for high-traffic video delivery scenarios. - Strong collaboration skills — able to work across CMS, frontend, and infrastructure teams. PREFERRED QUALIFICATIONS - Experience delivering video infrastructure for news, media, or broadcast organizations. - Familiarity with rights management, availability windows, and geoblocking implementation. - Experience with CDN configuration for video delivery at scale. - Background working on platforms designed for major-event traffic spikes. - Familiarity with DRM implementation — Widevine, FairPlay, PlayReady. - Experience with poster frame, chapter marker, and structured metadata workflows for editorial video. When you join Solvd, you'll… - Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation. - Be part of a global team with equal opportunities for collaboration across continents and cultures. - Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards. Ready to make an impact? If you're excited to build things that matter, champion responsible AI, and grow with some of the industry’s sharpest minds. Apply today and let’s innovate together. Solvd is an equal opportunity employer.

Location: New York Office Workplace: Hybrid The engineering team at Chainalysis is inspired by solving the hardest technical challenges and building products that establish trust in cryptocurrencies. We're a global organization that thrives on challenging work and doing it alongside exceptionally talented teammates. Our industry evolves rapidly, and our mission is to build a flexible, AI-driven platform that automates entity resolution, optimizes data labeling pipelines, and creates predictive models that identify illicit patterns before they escalate. Compliance Core builds and operates the platform that customers rely on to evaluate blockchain risk in real time and continuously monitor activity across billions of transfers. Our systems screen transfers and withdrawals, reassess exposure as new information arrives, aggregate risk at the user and organization level, and power datasets used by other teams and customers. We’re looking for an Engineering Manager to lead the team and shape the next generation of this platform. You’ll help decide what to evolve, rebuild, or retire, and sequence those changes while keeping our systems reliable for every customer. This role combines hands-on technical leadership with responsibility for the team’s growth, delivery, and operational health. In this role, you’ll: - Lead the platform’s modernization. Set technical direction with the team, make architectural trade-offs, and turn complex changes into incremental migrations with clear milestones and safe rollouts. - Stay hands-on. Review code, write and challenge design documents, contribute prototypes or targeted fixes, and work directly with engineers to resolve difficult technical problems and production incidents. - Build and develop the team. Hire exceptional engineers, set clear expectations, provide candid feedback, manage performance, and support career growth. Create an environment where people can challenge ideas, take ownership, and do their best work. - Own delivery with your partners. Work with Product and upstream teams to turn customer needs and industry changes into an executable roadmap. Make priorities, dependencies, and trade-offs explicit, and follow through on commitments. - Make production operations sustainable. Set standards for reliability, latency, throughput, and data correctness. Improve observability, testing, incident response, and on-call practices so the platform can scale We’re looking for candidates who have: - Experience building and operating high-throughput, event-driven distributed systems - Strong hands-on engineering judgment. You can work through implementation details, identify the real constraints in a design, and help the team make sound architectural decisions. - Experience managing engineers, including coaching, performance management, and career development, with evidence of improving both team effectiveness and engineering quality. - A track record of delivering complex technical initiatives across teams, breaking ambiguous problems into manageable steps, and balancing immediate customer needs with longer-term platform investment. - A collaborative leadership style: you welcome challenges, explain your decisions, and help engineers develop the judgment and ownership to lead work themselves. - Interest in blockchain and cryptocurrencies, or eagerness to learn. Nice to have: - Experience modernizing or migrating critical production systems while maintaining service continuity. - Familiarity with JVM services in production. - Experience operating customer-facing systems with strict latency and availability requirements. - Background in compliance, payments, fraud, or another regulated domain. - Blockchain protocol knowledge. AI at Chainalysis AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it. AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before. About Chainalysis Chainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation. You belong here.  At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture. We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here https://go.chainalysis.com/rs/503-FAP-074/images/Interview%20Accommodations%20Request.pdf. We can’t wait to meet you.

Задачи: — Определять общую стратегию автоматизации и выбирать подходящие инструменты в соответствии с техническим стеком клиента. — Писать, поддерживать и оптимизировать сложные end-to-end (E2E) интеграционные и регрессионные тесты. — Сотрудничать с разработчиками и менеджерами продуктов для определения критериев "Definition of Done" и обеспечения тестируемости на этапе проектирования. — Выявлять, документировать и отслеживать дефекты программного обеспечения, тесно взаимодействуя с командой разработки для быстрого их устранения. — Быть "евангелистом качества" в команде, проводить код-ревью тестовых скриптов и делиться лучшими практиками автоматизированного тестирования. Требования: — Опыт автоматизации тестирования не менее 5 лет с глубокими знаниями современных фреймворков, таких как Playwright, Cypress или Selenium. — Умение писать чистый и поддерживаемый тестовый код на TypeScript/JavaScript, Python или Java. — Подтвержденный опыт создания и масштабирования фреймворков автоматизации с нуля (Page Object Model, Screenplay Pattern и др.). — Широкий опыт тестирования RESTful и GraphQL API с использованием Postman, SuperTest или RestAssured. — Практический опыт интеграции автоматизированных тестов в CI/CD пайплайны с помощью GitHub Actions, GitLab CI или Jenkins. — Опыт мобильной автоматизации с Appium или Maestro является значительным преимуществом. — Знание инструментов нагрузочного тестирования, таких как k6 или JMeter, для выявления узких мест системы. — Нахождение в часовом поясе CET (+/- 3 часа), кандидаты из других часовых поясов не рассматриваются. Желательно: — Знание Docker для контейнеризации тестовых сред. — Опыт с инструментами визуального регрессионного тестирования (Percy, Applitools). — Знакомство с облачными платформами тестирования (BrowserStack, Sauce Labs, AWS Device Farm). — Опыт в области тестирования безопасности (принципы OWASP). Условия: — Своевременные ежемесячные выплаты с гибкими опциями вывода средств. — Предсказуемый график работы: стабильные 8-часовые рабочие дни. — До 24 оплачиваемых дополнительных выходных дней в год для полноценных позиций. — Долгосрочные удалённые позиции в передовых компаниях. — Персонально подобранные вакансии без типичных рекрутинговых барьеров. — Единый процесс заключения контрактов для множества возможностей без дополнительных оценок. — Стабильная оплата каждый месяц при трудоустройстве через Proxify.

Задачи: — Проектировать и разрабатывать сквозные конвейеры данных с использованием Azure Data Factory, SQL и других сервисов Azure. — Реализовывать сложные модели данных, меры DAX и вычисляемые столбцы для поддержки отчетности. — Управлять и оптимизировать ETL-процессы, обеспечивая качество данных, согласованность и высокую производительность. — Проектировать и поддерживать хранилища данных и размерные модели (например, схемы звезды/снежинки). — Сотрудничать с аналитиками, разработчиками и заинтересованными сторонами для преобразования бизнес-требований в технические решения. — Интегрировать данные из различных источников, включая SQL-базы данных, облачное хранилище, API и плоские файлы. — Обеспечивать управление данными, точность и целостность в BI-экосистеме. Требования: — Опыт работы в роли Data Engineer не менее 5 лет. — Продвинутые знания SQL: сложные запросы, оптимизация производительности, хранимые процедуры. — Глубокое понимание технологий Azure: Azure SQL Database, Data Factory и др. — Опыт разработки ETL, интеграции данных и оркестрации конвейеров. — Знание принципов моделирования данных и архитектур хранилищ данных. — Знание принципов управления данными, управления качеством данных и лучших практик безопасности данных. — Расположение в часовом поясе CET (+/- 3 часа). Желательно: — Знакомство с Azure Synapse Analytics, Data Lake и Azure DevOps. — Эксперт в разработке Power BI, включая Power Query, DAX и Power BI Service. — Опыт работы с Python или другими скриптовыми языками для обработки данных. — Опыт работы с Git или другими системами контроля версий для совместной работы и практик CI/CD. — Наличие сертификатов Microsoft (Power BI, Azure Data Engineer или SQL Server). Условия: — Своевременные ежемесячные выплаты с гибкими вариантами вывода средств. — Предсказуемые часы работы: стабильные 8-часовые рабочие дни с клиентами. — До 24 дней гибких выходных в год без потери оплаты для полноценных позиций через Proxify. — Долгосрочные удалённые позиции в ведущих компаниях. — Персонально подобранные вакансии без типичных рекрутинговых барьеров. — Единый процесс заключения контрактов для множества возможностей без дополнительных оценок. — Постоянная оплата каждый месяц для позиций, полученных через Proxify.

Задачи: — Архитектура и развертывание корпоративной инфраструктуры Azure с использованием Terraform/Bicep, поддержка модульных библиотек IaC и управление состоянием. — Обслуживание, патчинг и оптимизация кластеров Azure Kubernetes Service (AKS), управление автоскейлингом, маршрутизацией ingress и политиками service mesh. — Проектирование, поддержка и обеспечение безопасности автоматизированных CI/CD пайплайнов в Azure DevOps или GitHub Actions для ускорения циклов деплоя. — Применение Azure Policy, аудит ролей IAM через Entra ID, управление ротацией секретов в Key Vault, устранение уязвимостей с помощью Defender for Cloud. — Мониторинг метрик системы, реагирование на инциденты инфраструктуры, проведение RCA и оптимизация использования ресурсов для снижения затрат. Требования: — Опыт работы не менее 5 лет с Microsoft Azure, включая compute, сети (VNets, ExpressRoute, Application Gateways) и уровни хранения. — Продвинутые навыки Terraform или Bicep для автоматизации, обнаружения дрейфа и управления состоянием в мульти-подписочных средах. — Опыт построения, защиты и масштабирования AKS, управление ingress контроллерами и деплой приложений с Helm. — Глубокое понимание построения CI/CD с Azure DevOps или GitHub Actions, включая автоматическое сканирование безопасности, соблюдение политик и безотказные релизы. — Знания в области безопасности облака с Microsoft Entra ID, Azure Key Vault, Azure Policy и RBAC в модели Zero Trust. — Опыт настройки мониторинга и алертинга с Azure Monitor, Log Analytics, Application Insights или сторонними платформами (Datadog, Dynatrace). — Локация в часовом поясе CET (+/- 3 часа). Желательно: — Сертификаты Azure AZ-104, AZ-305, AZ-400. — Навыки программирования на Python, Go, PowerShell или Bash для скриптинга инфраструктуры. — Опыт оптимизации затрат в облаке (FinOps) и управления политиками Azure Cost Management. — Знакомство с гибридными облачными конфигурациями или Azure Arc. Условия: — Своевременная оплата с гибкими вариантами вывода средств. — Предсказуемый график работы: 8 часов в день. — До 24 дней гибких выходных в год для полноценных позиций. — Долгосрочные удалённые позиции в ведущих компаниях. — Персонально подобранные вакансии без типичных рекрутинговых барьеров. — Единый процесс контрактации для множества возможностей без дополнительных оценок. — Стабильная ежемесячная оплата через Proxify.

Задачи: — Архитектура, создание и поддержка инструментов самообслуживания платформы и порталов разработчиков, позволяющих командам самостоятельно обеспечивать инфраструктуру, управлять окружениями и развёртывать сервисы. — Поддержка автоматизированных GitOps пайплайнов доставки с использованием ArgoCD/Flux, внедрение безопасных практик деплоя (canary, blue-green, автоматические откаты). — Поддержка здоровья кластеров, жизненных циклов обновлений, политик автоскейлинга и безопасности в мульти-региональных Kubernetes-развёртываниях. — Написание production-кода на Go/Python для создания кастомных Kubernetes операторов, CLI-утилит и API-автоматизации для оптимизации рабочих процессов разработчиков. — Внедрение платформенных SLI/SLO, централизованного логирования и трассировки, а также автоматизация политик безопасности и контроля затрат. Требования: — Опыт 5+ лет в platform engineering, site reliability engineering (SRE) или core DevOps с подтверждённым опытом проектирования и внедрения Internal Developer Platforms (IDP). — Экспертное владение Kubernetes, архитектурами кастомных контроллеров/операторов, сервис-мешами (Istio/Linkerd), непрерывной доставкой через GitOps инструменты (ArgoCD или Flux). — Глубокие знания Terraform, OpenTofu или Pulumi для создания модульных инфраструктурных шаблонов в облаках (AWS, GCP, Azure). — Сильные навыки программирования на Go или Python для создания расширений платформы, CLI-инструментов, Kubernetes операторов и интеграций API. — Практический опыт создания или интеграции порталов разработчиков (Backstage, Port) и автоматизированных workflow движков. — Опыт настройки телеметрии с Prometheus, Grafana и OpenTelemetry для метрик, логов и трассировок. Желательно: — Опыт с cloud-native control plane абстракциями, например Crossplane. — Знания FinOps, мониторинга затрат контейнеров (Kubecost) и автоматической оптимизации ресурсов. — Активное участие в open-source проектах CNCF. — Опыт в zero-trust безопасности, управлении секретами (HashiCorp Vault) и автоматизации комплаенса. Условия: — Своевременные ежемесячные выплаты с гибкими опциями вывода. — Предсказуемый график работы: 8-часовой рабочий день. — До 24 оплачиваемых гибких дней отпуска в год для full-time позиций. — Долгосрочные удалённые позиции в передовых компаниях. — Персонально подобранные вакансии без типичных рекрутинговых барьеров. — Единый процесс контрактации для множества возможностей без дополнительных оценок. — Стабильная оплата каждый месяц при работе через Proxify.

Location: Hyderabad, India Workplace: Hybrid WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE: Notion is looking for a Forward Deployed Engineer focused on migrations to join our growing team in India. You will help deliver complex, production-grade data migrations, integrations, and automations for customers across APAC. This is initially an internally focused, hands-on engineering role. You will partner closely with regional Forward Deployed Engineers, who own customer discovery, solution architecture, stakeholder communication, risk management, and final customer validation. You will own the behind-the-scenes technical execution layer from feasibility assessment and implementation through testing, production rollout, QA, reconciliation, reporting, and operational handoff. You will work across multiple customer environments and source systems, often with incomplete requirements, imperfect data, and real-world constraints. Success requires strong engineering fundamentals, sound judgment, careful validation, and the ability to turn one-off delivery work into reusable tools and repeatable playbooks. As a founding engineer in India, you will help build a new regional engineering capability from the ground up. You will create migration infrastructure, standards, and reusable tooling used by FDEs across APAC, while establishing practices that can scale globally. The role offers an opportunity to become a technical authority for production migration delivery, shaping how Notion approaches reliability, validation, and operational quality across complex customer environments. As the team grows, the role may also expand toward customer-facing FDE work, technical leadership, or a deeper engineering path, depending on business needs and demonstrated capability. WHAT YOU'LL ACHIEVE: - Own the technical execution layer after customer requirements, scope, and solution architecture have been established with the regional FDE. Contribute to feasibility assessment, estimation, implementation planning, and risk identification while the regional FDE remains accountable for customer discovery, scope, architecture, stakeholder communication, and final acceptance. - Apply a repeatable migration lifecycle covering source inventory and sampling, scope and pruning decisions, compatibility and degradation assessment, transformation design, pilot or dry run, user acceptance testing, production cutover, reconciliation, remediation, hypercare, and documented handoff. - Translate approved customer and regional FDE requirements into clear technical designs, implementation plans, test strategies, runbooks, and delivery estimates. - Build production-quality migration utilities, backend services, data pipelines, integrations, and automations using Python, SQL, APIs, databases, and cloud infrastructure. - Investigate source-system behavior, data quality issues, permissions, rate limits, authentication constraints, and edge cases, then recommend practical solutions. - Design and validate permissions, ownership, and inheritance mappings against the approved migration plan. Make unsupported or ambiguous access requirements explicit, obtain the required decision or approval, and preserve evidence of validation. - Design migrations for reliability, scale, security, observability, idempotency, failure recovery, and safe reruns. - Execute migrations only through approved environments, devices, accounts, and tooling. Follow least-privilege access, customer-specific security and data-residency requirements, and approved handling procedures. Do not store customer data in unmanaged local or external systems, and escalate privacy, security, or sovereignty concerns before execution. - Build validation and reconciliation frameworks that provide clear evidence of migration completeness, accuracy, and exceptions. - Debug failures across application code, infrastructure, customer data, third-party systems, and the Notion platform, then drive issues through resolution. - Manage multiple implementation workstreams, dependencies, and priorities while communicating scope, progress, risks, and trade-offs clearly. - Surface scope changes, unsupported requirements, timeline risks, and material effort increases early. Document assumptions and trade-offs, and escalate with options and a recommended path rather than silently absorbing additional work. - Maintain an auditable record of scope, decisions, risks, approvals, validation evidence, and customer acceptance criteria in the agreed shared workspace or channel. - Convert repeated delivery patterns into reusable components, automation, documentation, and playbooks that improve speed, quality, and cost over time. - Bring field learnings back to Notion's Product and Engineering teams as actionable platform feedback and technical requirements. SKILLS YOU'LL NEED TO BRING: - 3 to 6 years of hands-on experience in backend engineering, data engineering, integration engineering, implementation engineering, technical consulting, solutions engineering, or a similar technical role. - Strong hands-on Python development experience. - Working experience with Node.js, JavaScript, or TypeScript. - Strong SQL skills and a solid understanding of relational databases, data modeling, and data transformation. - Experience working with REST APIs, JSON, authentication, webhooks, and system integrations. - Experience owning a production migration, integration, or technical implementation through mapping, transformation, testing, rollout, validation, and handoff. - Experience taking a technical problem from requirements and design through development, testing, deployment, and production operation. - Experience with Git, code review, automated testing, release practices, and production deployment. - Strong debugging, analytical, and problem-solving skills across code, data, infrastructure, and external systems. - Evidence of working on production systems, not only prototypes or proof-of-concept projects. - Clear written and verbal English communication, with the ability to explain technical decisions, constraints, and risks to technical and non-technical stakeholders. - High agency and ownership. You are comfortable making progress with incomplete information, challenging assumptions, and escalating with options and a recommendation. NICE TO HAVES: - Experience with Docker, Kubernetes, CI/CD, job orchestration, or infrastructure automation. - Experience with AWS, GCP, or Azure. - Familiarity with message queues, event-driven systems, distributed-system patterns, retries, concurrency, and rate limits. - Experience with monitoring, logging, alerting, or other observability tools. - Experience with enterprise SaaS applications, professional services, or large-scale customer implementations. - Experience migrating large volumes of content or structured data between enterprise platforms. - Experience with AI or LLM applications, retrieval-augmented generation, evaluation frameworks, or agentic workflows. - Familiarity with MCP, tool calling, Notion Workers, Custom Agents, or similar extensibility platforms. - Experience working with distributed global or APAC teams. WHAT SUCCESS LOOKS LIKE: In your first 90 days, you will: - Learn Notion's migration and implementation ecosystem, engineering standards, and APAC delivery model. - Establish a productive working rhythm with regional FDE partners. - Contribute to at least one migration or integration workstream through production delivery. - Leave behind clear technical documentation, validation evidence, and an operational runbook. Within your first six months, you will: - Independently own production migration or integration workstreams from technical design through rollout and handoff. - Deliver measurable improvements in migration turnaround time, validation quality, delivery cost, or regional FDE execution hours through reusable engineering. - Help establish repeatable quality controls, code review practices, runbooks, and observability patterns for the India team. - Demonstrate effective prioritization and communication across multiple concurrent APAC engagements. - Turn at least one repeated delivery pattern into a reusable tool, component, or playbook that is adopted by a subsequent engagement. LOCATION: This role is based in Hyderabad, India. We work from our offices on Mondays, Tuesdays, and Thursdays, our Anchor Days, because we do our best thinking and building together in person. We're looking for someone who's excited to work alongside the team during those days. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21 #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.