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Location: Remote; Ireland; Europe; United States; Poland; United Kingdom Workplace: Remote ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE Core Platform builds the foundations every other team at ElevenLabs builds on: how users, workspaces and permissions work across our products. Our systems sit on the path of every request and are relied on by millions of users and by enterprise customers, so correctness, security and safe rollout matter as much as speed. We are hiring full stack engineers (backend leaning) for two focus areas. Depending on the team you join, your responsibilities might include: Workspaces & User Management (serving external customers) - Building and improving the building blocks customers touch directly: API keys, login experience, analytics, admin tooling, workspace security and more - Working closely with Sales, FDEs and customer teams to turn enterprise and self-serve feedback into the right improvements, and helping large customers with complex organisational structures. - Shipping customer-facing features end to end, from backend services to the admin and settings UI. Permissions & Resources (serving ElevenLabs engineering teams) - Designing and building generic resource and permissioning services that product teams use to build features safely and quickly. - Solving hard, largely greenfield problems at scale, for example how a customer with a million agents assigns and manages access. - Working across product teams to understand their needs, and driving adoption with changes that don't require every team to rework their code. In both teams you will: - Scope work as part of a large existing system: understand what exists, what could go wrong on rollout, whether a migration is needed, and how downstream teams are affected. - Roll out changes safely and with minimal disruption to existing users, teams or systems. - Debug and operate what you build, working from customer reports, logs and code. - Own features from scoping to completion, with the support of experienced engineers who are happy to mentor. REQUIREMENTS We do not require any formal experience, certifications, or degrees. Instead, we are seeking engineers who can show they have solved impressively hard problems, through past projects or GitHub contributions. We do require: - Expertise in Python. - A strong background in backend development, with comfort working across the stack where the work needs it. - Experience with common software and system design patterns and infrastructure, including APIs, cloud infrastructure tools, storage solutions and data structures. - Strong test design and security fundamentals. - Care and attention to detail when changing live, business-critical systems, and the ability to learn a large existing codebase quickly. - Comfort with ambiguity: working out what should be built, and prioritising among competing signals. Bonus: - Experience with authentication, authorization or permissioning (OAuth, SSO/SCIM, RBAC or similar). - Experience with Kubernetes. - Experience building internal platforms or services used by other engineering teams. LOCATION Our team is based across the UK, EU and US, and this is our main focus. We are flexible for exceptional candidates elsewhere. You can work remotely, or from our offices in Dublin, London, New York, San Francisco and Warsaw. #LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

Location: United States - Remote Chainguard is the trusted source for open source. By delivering hardened, secure, and production-ready builds of all the open source software engineers and AI agents rely on, Chainguard helps organizations build faster, stay compliant, and eliminate risk. Our customers include Fortune 500 enterprises and global industry leaders, including Anduril, Canva, Fortinet, Hewlett Packard Enterprise, OpenAI, Snap Inc., and Snowflake. Chainguard is venture-backed by leading investors, including Amplify, IVP, Kleiner Perkins, Lightspeed Venture Partners, Mantis VC, Redpoint Ventures, Sequoia Capital, and Spark Capital. The role, in a nutshell: Developers find tools by searching, by asking an LLM, and, more and more, by prompting a coding agent to do the work. We’re hiring a technical Sr. Growth Marketing Manager to make sure that across all three, Chainguard gets discovered, recommended, and used. This is a builder role measured on signups and pipeline, not rankings or mentions. It’s also highly cross-functional. You’ll work daily with Product, Product Marketing, Growth, Web, and Paid Media, and you’ll drive the work forward, not wait on it. What you’ll do: Own search. Run Chainguard’s SEO program end to end: keyword strategy, content, programmatic pages, and technical optimization. Partner with Web and PMM to turn high-intent traffic into signups, demos, and pipeline. Agent as researcher. Get ChatGPT, Claude, Perplexity, Gemini, and Google AI Overviews to surface and recommend Chainguard. Your levers are content, structured data, and the third-party sources models learn from. Track how often we’re cited and recommended, and grow it. Agent as user. Make Chainguard the default choice when Claude Code, Cursor, or Codex picks tools for a developer. Map the agent adoption journey (discover, auth, pull, build, verify) and remove friction at every step. Partner with Product to build and maintain our MCP server, Agent Skills, plugins, CLAUDE.md / AGENTS.md snippets, llms.txt, and agent-readable quickstarts, and keep them listed where agents look. Measure what works. Run evals of real developer prompts across models and coding agents to learn which assets actually get Chainguard recommended and used. Build attribution that ties organic, AI-referred, and agent-originated signups to pipeline. What you’ll bring: 4+ years in growth, developer marketing, or technical product, with measurable funnel ownership for technical audiences. Hands-on SEO and AEO experience, including technical SEO, keyword strategy, content, and measurement. Terminal fluency and advanced SQL: you can build a working MCP server or agent skill, and you answer your own questions from the data. A daily coding-agent habit, with opinions on how agents choose tools and where they fail. A track record of driving work through cross-functional partners without direct authority, in a fast-paced, high-growth environment. Nice to have: Experience in cybersecurity or the cloud-native ecosystem (containers, Kubernetes, software supply chain security). Base Salary Range $140,000 — $167,500 USD About Us We live and breathe our company values: We are customer obsessed — We focus on delivering solutions to our customers that create value and make their lives better. We have a bias for intentional action — We prioritize, plan, try things, and fail fast. We don't take ourselves too seriously (but we do serious work) — We are solving an important problem which takes focus, but we also like to enjoy the journey. We trust each other and assume good intentions — We're transparent with decisions to empower team members to make well informed decisions. A few of the benefits we offer: Flexible & Remote-First Culture: Work remotely with team meetup opportunities, bi-annual destination summits, and a monthly stipend for coworking spaces, phone and internet costs. Our Approach to Equity: Receive stock options upon hire and promotion. Plus, you can participate in secondary offerings and have 10 years to exercise your options (yes, you read that correctly: 10 years!). 100% Covered Health Insurance: We cover 100% of your health, vision and dental insurance premiums for you and your dependents. Nothing comes out of your paycheck. ∞ Flexible Time Off: Take the time you need – to do our best work, we need to recharge and reset. 18 Weeks Paid Parental Leave: We offer 18 weeks for birthing parents and 12 weeks for non-birthing parents, with the option to use it all at once or throughout your child's first year. If your experience is close but doesn't fulfill all requirements, please apply. We're building the best team in technology and are focused on hiring "Chainguardians" with unique backgrounds, perspectives, and experiences. Chainguard is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. By submitting your application, you acknowledge that Chainguard will process your personal data in accordance with Chainguard's Global Candidate Privacy Notice . ©2026 Chainguard. All Rights Reserved.

Location: Москва Workplace: Комбинированный VK Tech — разработчик корпоративного ПО для решения ежедневных задач бизнеса. Портфель VK Tech — это готовая экосистема программных продуктов. Ищем аналитика, который будет проектировать и настраивать поведение LLM-агентов, описывать требования, промпты, инструменты и интеграции, а также отвечать за тестирование, метрики качества и документацию жизненного цикла решения. Задачи Выявлять бизнес-задачи, которые стоит решать через AI-агентов Формулировать требования к поведению агента, его шагам, инструментам, памяти и сценариям использования Настраивать и оптимизировать промпты, RAG-пайплайны, agentic workflows и инструменты агента Тестировать ИИ-ассистентов, валидировать их ответы, анализировать логи, метрики и качество данных Документировать архитектуру, бизнес-процессы и пользовательские сценарии Проходить проектные приёмо-сдаточные испытания, описывать их программу и методику Составлять ТЗ на создание агентов и согласовывать его с заказчиками Взаимодействовать с продуктовой командой, разрабатывающей ИИ-платформу, разбираться в новом функционале продукта и использовать его в работе Требования Понимание устройства RAG, умение создавать и настраивать чанки Написание скиллов и системных промптов для агентов Знание устройства ИИ-агентов и их настройки Умение проектировать интеграции и API, понимание устройства микросервисной архитектуры Написание ТЗ, ПМИ и пользовательской документации Работа с заказчиками: выявление и описание требований, реализация ИИ-агентов по ним Навыки работы с Jira, Confluence, Python, SQL, FastAPI, LangChain, LangGraph, Haystack, Docker, Kubernetes, Postgres и векторными базами

Location: United States 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 building the AI infrastructure that financial institutions will run AI on in production, from quantitative research and real-time risk to agentic workflows in banks and insurers. The Field CTO for Financial Services is a senior technical leadership role at the intersection of production GPU infrastructure and the regulated business of financial services. You will lead the technical side of the vertical: the architecture conversation with CTOs and heads of research infrastructure, the technical content of regulated-buyer diligence, the reference architectures for financial workloads, and the product requirements that come out of the field. Financial institutions buy AI infrastructure differently from most customers. Quantitative funds and AI-native fintechs buy GPU capacity directly and judge it on price-performance, availability, and how the cluster behaves under their own workloads. Banks and insurers add a second review: security, third-party risk, data residency, and exit planning are assessed before a deal reaches architecture discussions. You will earn the trust of both kinds of buyer and help make Nebius an approved supplier to financial institutions. You will work alongside the Head of Financial Services, Sales, Security and GRC, Product, and Engineering. The role begins as a hands-on individual contributor, with a clear path to building and leading forward deployed engineers as the vertical scales. This is a ground-floor opportunity to define how financial institutions run AI in production on a specialized AI cloud. You are welcome to work remotely from the United States (New York City preferred). Travel expectations are 10% to 20% for customer visits, executive meetings, and key industry events. Your responsibilities will include: Executive Technical Leadership: Serve as the technical face of Nebius to financial services customers, partners, and ecosystem stakeholders. Lead architecture workshops and technical discovery with CTOs, heads of quant and ML platforms, and CIOs, showing technical buyers how Nebius performs on their own workloads and institutions how the architecture fits their control framework. Lighthouse Deal Support: Partner with Sales leadership on strategic financial services deals, including workload-level cost comparisons against on-premises and hyperscaler options. Regulated-Buyer Diligence: Work with Security, GRC, and Legal to turn our SOC 2 Type II and ISO 27001 certifications, and our alignment with frameworks such as DORA, into answers that third-party risk teams accept. Cover data residency, tenant isolation, key management, audit logging, resilience evidence, concentration risk, and exit and portability plans. Flag gaps early and bring them to Product as requirements. Architectural Guidance: Define reference architectures for financial workloads: quantitative research and backtesting, real-time risk and fraud inference, LLM and agentic workflows in KYC, AML, and document processing, and fine-tuning on sensitive proprietary data. Technical Product Strategy: Translate what you learn in accounts into prioritized, evidence-backed requirements for Product, Engineering, and Infrastructure teams, and keep a structured feedback loop so R&D can act on them. Field Enablement: Act as a force multiplier for the sales organization by creating the technical narrative, reference architectures, and training materials that help Field SAs and sellers engage financial services buyers credibly. Ecosystem & M&A: Partner with ecosystem vendors (market and reference data providers, model risk and AI governance tooling, trading and risk platforms, systems integrators) to identify integration opportunities and evaluate potential technical M&A targets. Team Building: Build and lead forward deployed engineers as the vertical grows, setting how they scope, deliver, and hand learnings back to Product. We expect you to have: 10+ years of experience in cloud infrastructure, platform engineering, distributed systems, or a closely related technical domain, including 5+ years in AI, ML, or MLOps with exposure to production or large-scale systems. Prior experience in a senior technical leadership role, for example Field CTO, CTO or technical co-founder of a fintech or AI-native company, head of quant or ML platform, or principal-level architect on a cloud vendor financial services team. Dual Competency: You can draw a distributed system on a whiteboard for engineers and explain its value and risk profile to a CIO or a Chief Risk Officer. GTM Fluency: Experience partnering with Sales to close large enterprise deals and enabling field teams with technical assets. Product-Minded Leadership: You have defined requirements from field evidence and shaped platform strategy. You are comfortable telling a customer no when a request would create technical debt, and proposing a better alternative. Mastery of the Stack: Expert-level, production-grade knowledge of GPU architectures, Kubernetes and Slurm orchestration including Soperator, high-performance and parallel file systems, and networking constraints (InfiniBand and Ethernet). Inference Optimization: You understand the nuances of model serving, including batch sizes, quantization, KV caching, and latency tradeoffs, and can architect for both massive throughput and latency-sensitive demands such as real-time risk and fraud scoring. Financial Services Fluency: First-hand experience in at least one of capital markets and quant research infrastructure, bank or insurer AI platforms, AI-native fintech, or an FSI technical role at a cloud or GPU provider, plus working knowledge of how regulated buyers review vendors: data residency, third-party and concentration risk, and model risk management expectations (for example SR 11-7 in the US). Builder Mentality: You arrive with your own point of view on where financial institutions are heading with AI infrastructure and pursue it without waiting to be directed. You are comfortable starting as a hands-on individual contributor and growing into a team. Public Technical Voice: Conference talks, writing, or open-source work that shows credibility with engineering and executive audiences. Communication: Strong executive presence, capable of influencing product teams and leadership through clarity and credibility. Comfort in Ambiguity: Experience operating in fast-moving environments (hyperscalers, cloud platforms, or advanced AI startups) where requirements are evolving. Preferred Qualifications: Hands-on experience with quantitative research infrastructure, low-latency trading systems, or model risk management in a regulated institution. Familiarity with the hybrid and on-premises GPU environments financial institutions run. Strategic Empathy: The ability to distinguish customers who need raw cluster access from those who need managed endpoints, and the judgment to prescribe the right path. Why Nebius: Build Solutions: You will shape how financial institutions run AI in production on a specialized AI cloud. Scale: Opportunity to help build the Financial Services vertical from the ground up. Frontier Technology: Work at the frontier of AI infrastructure, agentic workflows, and financial intelligence alongside leading customers and partners. Strategic Impact: Real influence over product direction, platform strategy, and ecosystem development. Ownership: Join a team that values technical depth, ownership, and speed of execution. Mission: Help define how intelligence moves from the data center into trading desks, risk engines, and the operations of banks and insurers. 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 Key employee benefits in the US: #LI-LG1 Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) plan: Up to 4% company match with immediate vesting. Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote work reimbursement: Up to $85/month for mobile and internet. Disability & life insurance : Company-paid short-term, long-term and life insurance coverage. Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $210,000 — $260,000 USD 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.

Разрабатывать и поддерживать backend-сервисы и REST API на C# и .NET. Развивать frontend-приложения на современных JavaScript/TypeScript-фреймворках.

Location: GE; PL Workplace: remote Overview: We invite you to join our Data Platform team — building the data infrastructure that powers analytics and insights for SOFTSWISS. We process enterprise-scale data and serve multiple internal teams across the company. In this role, you’ll have the opportunity to: Work with modern data stack and AI tools to build complex solutions Design solutions to technical challenges and influence platform architecture Research, develop and integrate new data processing tools and technologies Key responsibilities: Build business-critical, robust and self-service data products using Apache Spark, Kafka, Delta Lake and other big data technologies Ensure pipeline performance and data quality through scalable architecture and optimization Refine data solutions as business requirements and technical constraints evolve Collaborate with teams to understand data needs and support adoption of data products across the company Required Experience: 5+ years of software engineering experience with expertise in development, deployment, and integration Proficiency in at least one high-level programming language (Scala, Java, Python or equivalent) Experience in data environments, such as Data Lakes, Data Warehouses, Data Marts, Data transformation concepts and working with large data volumes Experience in building ETL pipelines to perform feature engineering on large-scale datasets using Apache Spark and Delta Lake Experience with sourcing and modelling data from application APIs Experience with building stream-processing applications using Spark-Streaming, Kafka Streams or others Experience designing and implementing monitoring, alerting, and observability solutions for data pipelines using Prometheus, Grafana, Alertmanager or others Strong analytical and problem-solving skills Upper-intermediate proficiency in English and strong command of Russian Nice to have: Experience with workflow orchestration tools such as Apache Airflow Experience with Kubernetes and containerization Familiarity with cloud platforms (AWS, GCP, Azure, OCI) Familiarity with CDC and Debezium Familiarity with Clickhouse Familiarity with data quality validation frameworks for data pipelines Familiarity with Data Lineage Familiarity with low-latency NoSQL datastores (such as HBase, Cassandra, MongoDB), Relational databases (such as MySQL, Postgres) and Search systems (such as ElasticSearch, Solr) Masters, PhD, or equivalent experience in Software Engineering, Mathematics or Computer Science Main Advantages Private health insurance Sports benefits Comprehensive Mental Health Program Free English lessons (online) Local language courses Paid time off Maternity leave support Referral program rewards Upskilling, internal workshops, and participation in professional conferences and corporate events

Location: Hybrid - San Francisco About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role Developers are building faster than ever. Humans and agents are deploying more than 6 million times a day on Vercel, spinning up over 2 million Sandboxes and serving a trillion requests per month. Every single one is powered by our own compute infrastructure . The Persistence team sits within Vercel's Compute division. This team owns the deep infrastructure within Hive (our compute platform) focussing on storage and state for all our workloads (Builds, Sandboxes and Functions). This work is redefining compute with features like Fluid Compute, Persistent Sandboxes, and Custom Images. As a Software Engineer on the Persistence team, you'll work on the infrastructure that runs 100s of instances across every region where our customers deploy code, rethinking low-level primitives and contributing to platform features that improve the experience for thousands of developers every day. This role is based hybrid in San Francisco or New York City, and the role includes in-office anchor days. What you'll do Manage and improve our fleet of clusters, running 100s of instances deployed in every region where our customers deploy and run their code. Write Golang on a daily basis and use Terraform to provision infrastructure; you'll get to know Nomad as our scheduler for managing workloads. Rethink the primitives of our infrastructure — working with virtual filesystems, Linux primitives, and low-level virtualisation. Own the reliability and performance of our compute platform, including on-call coverage for a team where every improvement has outsized impact at scale. Collaborate across teams to drive the convergence of all compute at Vercel. What you need 5+ years of software engineering experience, with Golang strongly preferred. Deep experience with virtual machines, file systems and Linux — you like knowing how things work under the hood (tcpdump, strace, and iptables are familiar tools). Experience building and operating distributed systems at scale; you design for performance and reliability. Experience with schedulers and orchestrators for managing containers and non-containerised workloads (e.g. Nomad, Kubernetes). Excellent problem-solving and communication skills, with a genuine enthusiasm for digging into problems that don't have obvious solutions. Bonus if you Have worked on low-level virtualisation or sandbox execution environments. Have product engineering experience and care about the developer-facing impact of infrastructure decisions. Have experience with on-call operations for large-scale distributed systems. Benefits: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. #LI-KR1 Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: Intellias Meet your recruiter Katarzyna Sankowska katarzyna.sankowska@intellias.com https://www.linkedin.com... Vacancy details Software Engineering Python Engineer Principal Bulgaria, Colombia, Croatia, Poland, Portugal, Spain, Ukraine, United States Remote APPLY NOW REFER A FRIEND Intellias is looking for a Principle Python Engineer in Platform Architect team to join a healthcare technology initiative focused on building a modern, scalable platform for connected health data and digital healthcare experiences. This is a senior hands-on engineering role for someone who combines deep distributed-systems expertise, strong backend engineering skills, and architectural thinking . You will design and build platform capabilities used across multiple engineering teams, establish reusable architectural patterns, and help evolve a cloud-native healthcare platform operating at scale. What project we have for you The project is building a FHIR-based healthcare data platform that integrates data from EHRs, digital health applications, wearables, portals, and other healthcare data sources into a unified ecosystem. The platform operates at the intersection of health data interoperability, distributed systems, API platforms, cloud infrastructure, and AI-enabled healthcare experiences . Its architecture includes event-driven processing, federated GraphQL and REST APIs, FHIR services, high-volume data storage and analytics, and integration points for LLM- and agent-based capabilities. You will work horizontally across engineering teams rather than within a single product squad. The focus is on solving complex platform-level problems around scale, reliability, data consistency, interoperability, API governance, and production architecture . This is not an architecture-only position. You will be expected to design, prototype, build, review, and operate production systems , staying close to both the code and real-world system behavior. What you will do Design and build large-scale, event-driven distributed systems , including orchestrators, worker services, asynchronous processing pipelines, schema governance, and reliable consumer patterns. Define and implement platform architecture around Kafka , including topic and partition design, schema evolution, idempotency, consumer groups, retry strategies, and production failure handling. Own and evolve API architecture across REST and federated GraphQL , establishing scalable patterns for schema composition, versioning, contract evolution, and API governance. Design and build reusable platform capabilities that enable engineering teams to onboard new services and data sources with minimal custom implementation. Contribute directly to production code, prototypes, reference implementations, and technical proofs of concept. Partner with AI engineering teams to define reliable integration points for LLM- and agent-based capabilities , including retrieval, evaluation, guardrails, observability, latency, cost, and data-protection boundaries. Shape healthcare data architecture, including FHIR-based interoperability, terminology services, data-quality controls, high-volume storage, and analytical workloads . Drive architecture and technical design reviews, documenting key decisions, trade-offs, standards, and reusable engineering patterns. Use production telemetry, observability, and operational data to validate architectural decisions and troubleshoot complex distributed-system behavior. Establish architectural patterns for security, identity, multi-tenancy, scalability, resilience, and protected health data . Mentor senior engineers and technical leads in system design, distributed-systems engineering, and architectural decision-making. Collaborate closely with U.S.-based engineering, product, data, security, and AI stakeholders while working effectively across geographically distributed teams. Promote an AI-enabled engineering approach , using modern AI development tools where they improve engineering velocity, quality, analysis, documentation, testing, or architectural exploration. What you need for this 8+ years of software engineering experience , with significant experience designing and operating large-scale distributed systems. Strong hands-on backend engineering skills in Python and/or another modern backend language, with the ability to work effectively across a polyglot environment and solid experience building production-grade services and APIs. Proven experience designing event-driven architectures , ideally using Apache Kafka or comparable distributed messaging technologies. Deep understanding of distributed-system fundamentals, including partitioning, idempotency, back-pressure, eventual consistency, failure recovery, and consistency/availability trade-offs. Strong experience designing and evolving REST APIs and GraphQL-based architectures , including schema design, versioning, composition, and contract governance. Strong system-design skills and demonstrated ownership of complex systems from architecture through implementation and production operation. Experience with cloud-native architectures on AWS , including Kubernetes-based environments, observability, scalability, resilience, and production operations. Strong data architecture fundamentals: data modeling, storage strategies, query optimization, and designing systems for high-volume transactional and analytical workloads. Practical experience with modern data and storage technologies such as MongoDB, ClickHouse, Databricks, Spark , or comparable platforms. Understanding of identity and security concepts such as OIDC, OAuth/token exchange, authorization, multi-tenancy, and data isolation . Ability to work effectively across a polyglot technology environment and make architectural decisions based on system requirements rather than technology preference. Strong communication and technical leadership skills, including the ability to drive architecture discussions, technical design reviews, and engineering standards across multiple teams. Strong hands-on engineering mindset — able and willing to build production code, prototypes, reference implementations, and tooling rather than operating exclusively at an architectural level. Professional English sufficient for direct collaboration with U.S.-based engineering and product stakeholders. Experience with FHIR, HL7, EHR integrations, healthcare interoperability, or digital health platforms . Experience designing systems handling PHI/PII or other regulated and sensitive data . Nice to Have Familiarity with healthcare security and compliance requirements, including HIPAA-related architectural considerations. Experience with Java/Spring Boot, TypeScript/Node.js , or other languages used in large-scale backend ecosystems. Experience with federated GraphQL platforms such as WunderGraph Cosmo, Apollo Federation , or similar technologies. Practical experience integrating LLMs or AI agents into production systems , including retrieval, evaluation, guardrails, observability, latency, and cost considerations. Experience with AI-assisted software engineering tools such as Claude Code, GitHub Copilot, Cursor, or similar tools, and an ability to use them effectively throughout the engineering lifecycle. Experience establishing reusable platform patterns, architecture standards, or internal developer platforms used by multiple engineering teams. Previous Staff/Principal-level experience mentoring senior engineers and influencing architecture beyond a single team. What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success. Skills AWS Kafka Python

Задачи: — Проектировать, разрабатывать и поддерживать backend-сервисы и REST API на C# и .NET — Развивать frontend-приложения на современных JavaScript/TypeScript-фреймворках — Проектировать и использовать API, интегрировать сторонние и локальные российские сервисы — Разворачивать и эксплуатировать приложения в облаке (Azure/AWS или российские облачные провайдеры) — Писать чистый, тестируемый и документированный код, участвовать в код-ревью — Работать в связке с продакт-менеджерами, дизайнерами, QA и DevOps-инженерами — Находить и устранять проблемы производительности, надёжности и безопасности — Участвовать в поддержке CI/CD и инфраструктуры как кода Требования: — 2-4 года коммерческого опыта с C# и .NET (ASP.NET Core) — Уверенное понимание ООП, SOLID, паттернов проектирования и чистой архитектуры — Опыт работы с реляционными БД (SQL Server / PostgreSQL) и ORM (EF Core) — Опыт разработки frontend-приложений на React или Angular (TypeScript) — Базовое понимание облачных платформ (Azure/AWS): вычисления, хранение, сети — Знакомство с Docker и контейнеризацией — Опыт работы с REST API, асинхронным программированием и очередями сообщений — Уверенное владение Git и командными процессами разработки — Свободный русский язык (устная и письменная речь) - обязательное требование для ежедневной работы с командой и заказчиками — Английский на уровне чтения технической документации (A2/B1+) Будет плюсом: — Опыт интеграции с российскими сервисами и системами (1С, ЭДО, платёжные провайдеры, SMS/email-шлюзы) — Опыт работы с российскими облачными провайдерами (Yandex Cloud, VK Cloud, Selectel) — Опыт с микросервисами и распределёнными системами — Знание Kubernetes — Опыт с CI/CD (GitLab CI, TeamCity, Azure DevOps, GitHub Actions) — Знакомство с NoSQL-базами (MongoDB, Redis, Cosmos DB) — Понимание observability (логирование, метрики, трассировка) — Опыт автоматизированного тестирования (xUnit/NUnit, Jest, Playwright/Cypress) Условия: — Конкурентная зарплата в рублях, обсуждается по результатам интервью, регулярный пересмотр — Полностью удалённая работа — Оплачиваемый отпуск, оплачиваемые больничные — Дружная русскоязычная команда, код-ревью и менторство

Location: EMEA Workplace: Remote ClickHouse is the open-source, real-time analytical database behind a lot of today's AI. More than 4,000 companies build on ClickHouse, including Anthropic, OpenAI, Tesla and Meta. As a Consulting Engineer, you're the hands-on engineer on our customers' most important projects. When a customer needs to migrate, integrate, or prove ClickHouse on a real workload, you work in the build alongside their engineers: you design it, build it, test it and hand it over. You'll work on a broad mix of projects for customers across EMEA, from moving large workloads off other databases to building new real-time analytics on ClickHouse. Each one is scoped with clear goals from the start, so you know what success looks like and can get stuck in. It's a fast way to build deep experience across lots of different data problems. The consulting function at ClickHouse is less than a year old, so you'll help shape how ClickHouse delivers this work as the team grows. Between projects you take cases alongside support engineers, which keeps you close to day-to-day support. WHAT YOU'LL DO - Turn customer goals into a scoped project with measurable success criteria, sizing and a timeline - Design a target architecture and prove it against the customer's own data: schema and engine design, capacity and sizing, proofs of concept - Do the build: implementation, pipelines and integrations, migration execution, tooling and automation - Measure it before it matters, with benchmarking, load and functional testing, then support the cutover - Tune what production reveals, then hand over with an engagement report and knowledge transfer, so the customer's team can run it without you - Take L1 to L3 cases alongside support engineers when you're between projects - Feed what you see in the field back to Product and Engineering, and turn your work into reference architectures, knowledge base articles and blog posts - Work in a constant feedback loop with the Pre-sales team to ensure that the demos and POCs they present are credible when you put them into production WHAT YOU'LL BRING - 5+ years delivering hands-on technical work for customers, whether your title was consultant, professional services, solutions architect, senior support, SRE or something else - Real depth in databases, whether analytical, transactional or relational - Hands-on SQL. You regularly write complex queries from scratch, and tune and debug them yourself - You've owned implementations, migrations or POCs for external customers from start to finish - Hands-on cloud experience (AWS, GCP and/or Azure) - You've deployed and run workloads on Kubernetes yourself - You've run distributed systems, such as distributed databases, in production - You give precise technical answers and explain them clearly - Fluent English NICE TO HAVE - Experience with ClickHouse - Hands-on Splunk experience - Migrating analytical workloads from systems such as PostgreSQL, Snowflake, BigQuery or Elastic - Terraform - Data pipelines and streaming, such as Kafka, Kinesis, Spark or Debezium - Python, Bash or Go - Involvement in open source, as a user, contributor or community member GOOD TO KNOW - This role is remote within EMEA, in a country where ClickHouse already hires - Travel to customer sites is part of the job, up to 35% of your time, depending on the project: some need none, others weekly visits - You'll join our EMEA Support Services team, where Support Engineers, Consulting Engineers and TAM Architects work as one team - You'll be part of the on-call rotation, about one week a quarter, with time off in lieu if you're paged at a weekend HOW WE HIRE - A 30-minute call with our recruiter - A conversation with the hiring manager - A take-home exercise, designed to take three to four hours, with three working days to complete it - A 90-minute technical interview with the team: you'll walk us through your take-home, then join a working session where you write and tune SQL live - A final conversation with our VP of Support Services - References, then an offer The working session is without AI tools, so make sure you're comfortable writing queries from scratch. Download open-source ClickHouse and practise: it's free, easy to install, and great preparation. PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: Москва Workplace: гибкий Инфраструктурная команда Core Backend отвечает за надёжность ВКонтакте, разрабатывает HighLoad core-сервисы, которые находятся на стыке продукта и инфраструктуры — от них зависят многие сценарии продуктовой разработки. Также мы являемся одним из главных драйверов по распилу монолита. В настоящий момент мы переходим от монолитной архитектуры к сервисной и одним из ключевых компонентов становится API Gateway как решение, обеспечивающее набор базовых операций с запросом пользователя и перенаправляющее его в нужный внутренний сервис или набор сервисов. Наш стек: Go, а также большое количество внутренних решений. Задачи Развитие API ВКонтакте и повышение надёжности платформы Проектирование и развитие механизмов устойчивой работы при сбоях и повышенной нагрузке Анализ инцидентов, поиск первопричин и внедрение системных улучшений Развитие инструментов безопасной доставки и применения конфигураций Улучшение наблюдаемости платформы: метрики, логи, алерты и средства диагностики Развитие взаимодействия gateway с внутренними сервисами и облачной инфраструктурой Участие в архитектурных решениях для высоконагруженной платформы Требования Уверенное владение Go Опыт разработки и эксплуатации высоконагруженных backend-систем Опыт работы с контейнерами и оркестраторами, например Kubernetes Понимание облачной инфраструктуры и принципов построения распределённых систем Знание SRE-практик: мониторинг, управление инцидентами, надёжность, отказоустойчивость, безопасные изменения в production Опыт работы с реляционными или NoSQL-БД, а также системами кеширования Будет плюсом Опыт разработки платформенных или инфраструктурных продуктов Опыт проектирования систем, критичных к доступности и производительности Навыки performance-инжиниринга, поиска узких мест и планирования ресурсов Опыт улучшения процессов эксплуатации и автоматизации рутинных операций

Задачи: — Разработка и вывод в production ML-решений. — Построение ML-пайплайнов и автоматизация экспериментов. — Работа с данными и хранилищами. — Реализация сервисов и API на Python. — Обеспечение полного цикла разработки от подготовки данных до мониторинга моделей. Требования: — Опыт разработки ML-решений и вывода моделей в production от 5 лет. — Уверенное владение Python и ML-стеком (NumPy, Pandas, Scikit-learn, PyTorch/TensorFlow). — Опыт создания production-ready ML-сервисов и API (FastAPI/Flask). — Знание классических ML-алгоритмов, градиентного бустинга, нейронных сетей и Transformers. — Опыт в одном или нескольких направлениях: NLP/LLM/Generative AI, рекомендательные системы, компьютерное зрение, предиктивное моделирование. — Работа с SQL и хранилищами данных (PostgreSQL, ClickHouse, NoSQL). — Навыки построения ML-пайплайнов и автоматизации экспериментов. — Плюсом будет опыт с LLM, RAG, векторными базами данных, MLOps-инструментами (MLflow, DVC, Airflow и др.), Docker, Kubernetes, облачными платформами, Apache Spark/PySpark. Условия: — Удалённая работа. — Частичная занятость. — Оформление по договору ГПХ с самозанятым или ИП.

🧩 Требования: опыт в DevOps и системном администрировании от 5 лет с эксплуатацией высоконагруженных распределённых и микросервисных систем, развитие внутренних PaaS‑решений;

Location: Remote What you’ll be part of Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster. The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can. About the role: We are seeking a Senior Security Engineer to serve as a technical anchor for our security function. This role is critical for leading technical design reviews and ensuring our security posture scales alongside our rapid customer growth. You will be responsible for defining the security standards that protect sensitive healthcare data, ensuring our systems are resilient against evolving threats while maintaining high engineering velocity. Where you will work: Garner is headquartered in NYC, but this position is available for individuals who are comfortable with remote work and occasional travel to HQ. What you will do: Lead technical security design: Own the technical design and review process for security-critical systems, ensuring all new features meet Garner's high standards for data protection and resilience Master complex domains: Maintain and apply a mastery of one or more technical security domains (e.g., Cloud Security, AppSec, or Data) to solve the most complex business and technical challenges Course-correct technical direction: Identify when technical paths are inefficient or insufficient and proactively redirect efforts to capture higher ROI for the firm Architect automated defenses: Create and implement advanced tools and automation that increase the efficacy of security monitoring and incident response Translate ambiguity into execution: Take broad, complex security objectives and break them down into well-defined deliverables and architectural requirements for the broader engineering team Mentor through technical rigor: Raise the bar for the engineering function by providing high-level feedback during code and design reviews, fostering a culture of security-first development The ideal candidate has: Exceptional Technical Judgment: Proven ability to make high-stakes technical decisions that result in positive long-term outcomes for the company's security posture Strategic Problem-Solving: Effectively leverages context and data to analyze root causes and prioritize security initiatives that offer the greatest impact on risk reduction Influential Stakeholder Management: Builds strong relationships across the organization, conveying complex security risks in a clear and compelling manner to both technical and non-technical partners Drive for Innovation: Continuously identifies and implements creative solutions to pay down technical debt and improve the efficiency of our security infrastructure Reliability Under Pressure: Handles complex escalations and security incidents with discipline, ensuring rigorous analysis and comprehensive resolution without jumping to conclusions A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback Technologies we use: Python, Kubernetes, Snowflake, AWS, Terraform, Wiz, Cyberhaven, and more This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare. Compensation Transparency: The target salary range for this position is $209,000 - $243,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k), Teladoc Health and more. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to candidateprotection@garnerhealth.com . Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at talent@garnerhealth.com .

- 5+ лет опыта в SRE / высоконагруженной инфраструктуре. - Глубокие знания Linux, MySQL / Galera, сетей (TCP/IP, DNS, BGP, VPN) и систем хранения.

Location: Remote: United States About Neo4j: Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems. It includes enterprise-ready knowledge graphs for accurate, explainable, and governed AI; the most comprehensive, trusted, and easy-to-deploy graph capabilities across any environment and data source; and an unmatched ecosystem trusted by 84 of the Fortune 100 and supported by the world’s largest graph community. Intelligence that works. Results that matter. Built to work everywhere and integrate with everything across every cloud for dynamic, personalized, and autonomous AI systems. We deliver quicker results, contextual knowledge, and solutions that impact customers and employees across the business. Our Vision: At Neo4j, we have always strived to help the world make sense of data. As business, society and knowledge become increasingly connected, our technology promotes innovation by helping organizations to find and understand data relationships. We created, drive and lead the graph database category, and we’re disrupting how organizations leverage their data to innovate and stay competitive. Job Title: AI Solutions Architect Job Summary: As aAI Solutions Architect, you will lead the design, construction, and deployment of AI solutions that combine the power of graph databases and AI. You will act as a trusted advisor to our strategic customers, guiding them through complex data challenges and delivering transformative business value. You will have a great understanding of graph technologies, LLMs, and AI frameworks, and will be able to translate customer needs into production-ready AI applications grounded in real-world context using Neo4j Knowledge Graphs. Key Responsibilities: Solution Architecting: You will engage with technical leaders, stakeholders, and strategic partners to shape and guide the successful implementation of Graph+GenAI solutions, serving as a trusted advisor and thought partner to decision-makers throughout complex, high-impact engagements. You will design and advocate for robust, scalable solution architectures, leading the deployment of Graph+GenAI systems aligned with complex enterprise requirements and industry best practices driving architectural excellence and long-term value. You will collaborate closely with customer leadership to deeply understand their strategic objectives, translating them into high-impact AI solutions that harness the synergy of graph databases and LLMs. This includes leading the discovery of requirements, assessing enterprise data ecosystems, and identifying innovative opportunities to apply graph-based AI at scale. You will lead stakeholder engagement across all levels to steer project scope, align on priorities, mitigate risks, and ensure timely delivery—ensuring alignment between technical execution and business outcomes while maintaining a focus on measurable impact Solution Engineering: You will develop, test, and deploy production-ready AI applications that integrate graph databases with LLMs and orchestration frameworks. This involves writing production-level code, optimizing for performance and scalability, and ensuring seamless integration with customer systems. Continuously evaluate and improve the performance, scalability, and efficiency of deployed AI applications, incorporating new techniques and technologies as they emerge. Education & Enablement: You will work with other teams at Neo4j (Product and Marketing) to influence the roadmap and provide insights from the field, and package approaches, best practices, and lessons learned into thought leadership, methodologies, and published assets. You will share your expertise internally with other Neo4j teams and also with customers through workshops, training sessions, and documentation to empower them to effectively utilize, maintain, and reproduce the AI solutions you deliver. Maintain continuous learning and stay up-to-date with the rapidly evolving GenAI landscape, proactively seeking knowledge of new trends and technologies. Required Qualifications: Enterprise Application Architecture: 5+ years of experience architecting and delivering enterprise-grade applications, with a deep understanding of the full software development lifecycle and the ability to guide teams through complex design and implementation decisions. LLM Proficiency: Experience working with Large Language Models (LLMs), including prompt engineering, fine-tuning, and integrating LLMs into applications. Maintain up-to-date knowledge of different LLM providers and their strengths and limitations, as well as open-source ones). Programming Proficiency: Advanced proficiency in at least one major programming language (e.g., Java, JavaScript, Python, or C#), with a proven track record of delivering clean, maintainable, and scalable code within complex systems. Deployment and Version Control: Deep hands-on experience with deployment tooling across Linux, Docker, and Kubernetes environments, along with expert-level use of version control systems (e.g., Git, SVN) in enterprise development workflows. Cloud Computing Expertise: Demonstrated expertise in deploying and scaling applications across cloud platforms (AWS, Azure, GCP), with a strategic understanding of cloud-native architecture and DevOps best practices. Generative AI Ecosystem Knowledge: In-depth knowledge of the generative AI ecosystem, including frameworks (e.g., LangChain, LlamaIndex, Haystack) and familiarity with cloud-native AI platforms (e.g., AWS Bedrock, Google Vertex AI, Azure ML), enabling you to architect end-to-end AI solutions. Data & Analytics Fluency: Strong background in data engineering, analytics, or data science, with the ability to design data pipelines and workflows across structured and unstructured data. Hands-on experience with big data technologies (e.g., Hadoop, Spark, Hive) and database systems (SQL and NoSQL) Graph Database Authority: Deep expertise in graph data modeling and query languages (e.g., Cypher), along with practical experience working with graph databases (e.g., Neo4j, Amazon Neptune, TigerGraph) or triple stores (e.g., Ontotext, Stardog), enabling advanced knowledge graph applications Communication and Collaboration Skills: Exceptional communication and stakeholder engagement skills, with a demonstrated ability to influence cross-functional teams and align technical decisions with business goals. Problem-Solving and Analytical Abilities: Strong analytical mindset with the ability to break down complex problems, architect AI solutions, and mentor teams through implementation Willingness and ability to travel up to 50% to engage with customers, lead strategic discussions and ensure successful project execution. The annual on target earnings range for this position based in the United States is listed below. This range is an estimate, and the actual on target earnings may vary based on Neo4j’s compensation practices, job related skills, depth of experience, relevant certifications and trainings, in addition to geographic location. Based on the factors above, Neo4j utilizes the full width of the range. In addition to the range below, US employees are eligible for a stock option grant and certain roles are eligible for an annual bonus. Employees in this position are also eligible to participate in the Company’s standard benefit programs, which currently include the following: medical, dental, and vision benefits, 401(k), paid time off, and certain leaves of absence. Annual On Target Earnings Range $160,000 — $220,000 USD Why Join Neo4j? Neo4j is, without question, the most popular graph intelligence platform in the world. We have customers in every industry globally, and our products are a proven product/market fit. Joining our team is an opportunity to shape the future of data and analytics. Below are just a few exciting facts about Neo4j. Neo4j is one of the fastest-scaling technology companies in this industry. It recently surpassed $200M in annual recurring revenue (ARR), doubling its ARR over the past three years. Raised the biggest funding round in database history ($325M Series F). Backed by world-class investors like Eurazeo, GV (formerly Google Ventures), and Inovia Capital, Neo4j has raised over $600M in funding and is currently valued at over $2Bn. This puts Neo4j among the most well-funded database companies in history. 84% of the Fortune 100 and 58% of the Fortune 500 use Neo4j. Examples include Boston Scientific , BT Group , Caterpillar , Cisco , Comcast , Department for Education UK , eBay , NBC News , Novo Nordisk , Worldline , and others . Co-founder and CEO Emil Eifrem has built an amazing culture that prides itself on relationships, inclusiveness, innovation, and customer success. Countless industry awards . Massive enterprises and individual developers/data scientists love Neo4j. A strong sense of community and ecosystem is built around the platform. A recent Forrester Total Economic Impact™ Study cited Neo4j as delivering 417% ROI to customers. Research shows that members of underrepresented communities are less likely to apply for jobs when they don’t meet all the qualifications. If this is part of the reason you hesitate to apply, we’d encourage you to reconsider and give us the opportunity to review your application. At Neo4j, we are committed to building awareness and helping to improve these issues. One of our central objectives is to provide an inclusive, diverse, and equitable workplace for everyone to develop their potential and have a positive, career-defining experience. We look forward to receiving your application. Neo4j Values: Neo4j is a Silicon Valley company with a Swedish soul. We foster collaboration and each of us is empowered to contribute and put our innovative stamp on projects. We hire candidates who reflect the following Neo4j core values: (we)-[:VALUE]->(relationships) (we)-[:FOCUS_ON]->(userSuccess) (we)-[:THRIVE_IN]->(:Culture {type: [‘Open’, ‘Inclusive’]}) (we)-[:ASSUME]->(:Intent {direction:’Positive’}) (we)-[:WELCOME]->(:Discussions {nature: ‘IntellectuallyHonest’}) (we)-[:DELIVER_ON]->(ourCommitments) Neo4j is committed to protecting and respecting your privacy. Please read the privacy notice regarding Neo4j's recruitment process to understand how we will handle the personal data that you provide. More information at www.neo4j.com . ©2026 Neo4j, Inc., Neo Technology®, Neo4j®, Cypher®, Neo4j Bloom™, Neo4j Graph Data Science Library™, Neo4j® Aura™, and Neo4j® AuraDB™ are registered trademarks or a trademark of Neo4j, Inc. All other marks are owned by their respective companies.

Location: Poland; Bulgaria; Romania Workplace: Remote ABOUT PATRIANNA Patrianna is a fast-scaling product development company headquartered in Gibraltar, with a dynamic, global team powering our growth. We operate at the intersection of technology and entertainment, building innovative solutions that shape the future of social gaming and deliver outstanding experiences to millions of players worldwide. We're driven by speed, ambition, and bold ideas. At our core, we're product creators and problem-solvers who thrive in a high-performance environment. We're looking for exceptional talent—smart, adaptable, and motivated individuals eager to make an impact, scale business functions at pace, and continuously improve. Whether you're a domain expert or an agile thinker who thrives in change, at Patrianna you'll have the freedom to innovate, take ownership, and help us lead the next wave of gaming innovation. Join us—and be part of something extraordinary. THE ROLE You'll keep our cloud platform, apps and AI agents fast, observable and resilient, using automation and AI to make reliability everyone's default. WHAT YOU WILL BE DOING 1. You'll run reproducible, multi-environment cloud infrastructure using Infrastructure as Code (IaC). 2. You'll build and own CI/CD pipelines, deployment checks and recovery procedures so shipping is fast and safe. 3. You'll set up logs, metrics, traces and alerts across apps, AI agents and their dependencies. Every alert will be one someone can actually act on. 4. You'll lead incident diagnosis, keep runbooks sharp and regularly test recovery, including safe automated rollback. 5. You'll automate repetitive ops work and use AI to speed up log analysis, root-cause hunting and fixes. 6. You'll make reliability a shared habit by documenting decisions, setting clear SLOs and helping teams own what they ship. WHAT WE ARE LOOKING FOR 1. Strong cloud operations experience, with deep hands-on CI/CD and IaC skills (e.g. Terraform). 2. Confidence diagnosing distributed systems through logs, metrics and traces, including when the clock is ticking. 3. Proven hands-on incident response experience. You've been on call, led the fix and written the post-mortem. 4. Solid scripting skills (e.g. Python, Bash, Go) and strong knowledge of networking, secrets management and service identities. 5. An AI-first approach to automation. You reach for AI tooling to remove toil, not add it. 6. Bonus points for GCP, Cloud Run, Pub/Sub, Airflow, Vercel, Supabase, Kubernetes or OpenTelemetry, plus SLO/error-budget experience. WHY YOU WILL LOVE IT 1. Real ownership: You won't just maintain someone else's setup. You'll shape how we build, ship and recover. 2. Cool stuff, at scale: Your work keeps games running smoothly for millions of players. 3. No-nonsense culture: We're direct, transparent and accountable. Conversations happen in open Slack channels, outcomes are documented in Monday.com http://Monday.com, and deadlines are agreed, not imposed. 4. Progress over perfectionism: We ship, learn and improve, and we don't wait for perfect. 5. Great people only: We have high standards, a strong team spirit and a strict no ass-hole policy. 6. Connected, wherever you are: We use Google Meet with cameras on, because we like actually knowing each other. EQUAL OPPORTUNITIES We hire based on skills, drive, and ideas — nothing else. Your background, gender, age, race, ethnicity, disability, sexual orientation, religion, neurodiversity, or educational path will never be a barrier to joining us. We also welcome candidates from non-traditional career journeys and value diverse perspectives that challenge conventional thinking. Diversity fuels our innovation, collaboration, and growth, and we're committed to creating an environment where everyone can contribute their best work and thrive.

Location: Gibraltar; Isle of Man Workplace: Hybrid ABOUT PATRIANNA Patrianna is a fast-scaling product development company headquartered in Gibraltar, with a dynamic, global team powering our growth. We operate at the intersection of technology and entertainment, building innovative solutions that shape the future of social gaming and deliver outstanding experiences to millions of players worldwide. We're driven by speed, ambition, and bold ideas. At our core, we're product creators and problem-solvers who thrive in a high-performance environment. We're looking for exceptional talent—smart, adaptable, and motivated individuals eager to make an impact, scale business functions at pace, and continuously improve. Whether you're a domain expert or an agile thinker who thrives in change, at Patrianna you'll have the freedom to innovate, take ownership, and help us lead the next wave of gaming innovation. Join us—and be part of something extraordinary. THE ROLE You'll keep our cloud platform, apps and AI agents fast, observable and resilient, using automation and AI to make reliability everyone's default. WHAT YOU WILL BE DOING - You'll run reproducible, multi-environment cloud infrastructure using Infrastructure as Code (IaC). - You'll build and own CI/CD pipelines, deployment checks and recovery procedures so shipping is fast and safe. - You'll set up logs, metrics, traces and alerts across apps, AI agents and their dependencies. Every alert will be one someone can actually act on. - You'll lead incident diagnosis, keep runbooks sharp and regularly test recovery, including safe automated rollback. - You'll automate repetitive ops work and use AI to speed up log analysis, root-cause hunting and fixes. - You'll make reliability a shared habit by documenting decisions, setting clear SLOs and helping teams own what they ship. WHAT WE ARE LOOKING FOR - Strong cloud operations experience, with deep hands-on CI/CD and IaC skills (e.g. Terraform). - Confidence diagnosing distributed systems through logs, metrics and traces, including when the clock is ticking. - Proven hands-on incident response experience. You've been on call, led the fix and written the post-mortem. - Solid scripting skills (e.g. Python, Bash, Go) and strong knowledge of networking, secrets management and service identities. - An AI-first approach to automation. You reach for AI tooling to remove toil, not add it. - Bonus points for GCP, Cloud Run, Pub/Sub, Airflow, Vercel, Supabase, Kubernetes or OpenTelemetry, plus SLO/error-budget experience. WHY YOU WILL LOVE IT 1. Real ownership: You won't just maintain someone else's setup. You'll shape how we build, ship and recover. 2. Cool stuff, at scale: Your work keeps games running smoothly for millions of players. 3. No-nonsense culture: We're direct, transparent and accountable. Conversations happen in open Slack channels, outcomes are documented in Monday.com http://Monday.com, and deadlines are agreed, not imposed. 4. Progress over perfectionism: We ship, learn and improve, and we don't wait for perfect. 5. Great people only: We have high standards, a strong team spirit and a strict no ass-hole policy. 6. Connected, wherever you are: We use Google Meet with cameras on, because we like actually knowing each other. EQUAL OPPORTUNITIES We hire based on skills, drive, and ideas — nothing else. Your background, gender, age, race, ethnicity, disability, sexual orientation, religion, neurodiversity, or educational path will never be a barrier to joining us. We also welcome candidates from non-traditional career journeys and value diverse perspectives that challenge conventional thinking. Diversity fuels our innovation, collaboration, and growth, and we're committed to creating an environment where everyone can contribute their best work and thrive.