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Location: San Francisco, CA | New York City, NY | Seattle, WA 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 Reinforcement learning is how Claude learns to reason, write code, and act autonomously over long horizons. At frontier scale, an RL run is a large distributed system: training, sampling, and environment execution run concurrently across a large fleet of accelerators and hosts. As an engineer in RL Engineering, you'll work on keeping that system secure as it scales. This is a hands-on engineering role. You'll work in the RL codebase and the infrastructure underneath it, alongside the engineers and researchers who build and use it. The system is large and changes as fast as the research does, so security work here has to keep up with that pace without costing performance or velocity. We're hiring from two backgrounds: security engineers who want to work on large-scale ML systems, and ML systems or research engineers who want to work on security. Strong candidates have depth in one and real interest in the other. Key responsibilities Design, build, and operate security controls for RL training systems and the infrastructure they run on Work across the stack (orchestration, environments, training, inference) wherever the work is needed Review designs and code across the RL stack, find security problems, and fix them Build shared libraries and tooling that other RL engineers and researchers build on Build the observability needed to understand what these systems are doing Work with researchers and performance engineers to make sure security changes preserve training correctness and performance Write clear design documents for what you build Minimum qualifications Strong software engineering skills in Python and at least one systems language such as Rust, C++, or Go Experience designing, building, and operating large-scale distributed systems or security systems in production Strong understanding of security fundamentals Working knowledge of Linux, containers, and cloud infrastructure Experience debugging complex problems across many hosts and services Ability to reason about tradeoffs between security, performance, and reliability Strong written communication, including design documents Preferred qualifications Experience running ML training or inference infrastructure at scale Experience with infrastructure security, such as isolation, access control, networking, or identity Experience with container orchestration such as Kubernetes, and with sandboxed or virtualized code execution at scale Experience building observability for large fleets Experience supporting research teams or other fast-moving internal users Familiarity with reinforcement learning or large language model training workloads 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 — $405,000 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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.

Location: United States Position overview SingleStore is seeking a Principal Cloud Network & Reliability Engineer to lead the architecture, reliability, and automation of the network foundations supporting our engineering organization. This is a senior hands-on technical role spanning cloud networking, site reliability engineering, infrastructure automation, and platform architecture across AWS, GCP, Azure, and internal infrastructure. The ideal candidate combines deep networking expertise with strong software and infrastructure engineering skills. They should be comfortable operating across organizational boundaries, driving technical decisions, improving reliability, and identifying adjacent problems that need ownership rather than limiting themselves strictly to a predefined scope. This role also provides senior technical coverage during U.S. business hours and acts as a key architecture partner to Platform Engineering, Systems Engineering, IT, InfoSec, and product engineering teams. What you’ll do: Define cloud networking architecture and standards across AWS, GCP, Azure, and internal infrastructure. Design and evolve routing, segmentation, firewalls, NAT, ingress/egress, DNS, VPN, private connectivity, and cloud-to-data-center networking. Lead technical direction for private-access technologies such as Tailscale, Headscale, WireGuard, bastions, and related access patterns. Establish SLOs, monitoring, alerting, recovery procedures, and operational standards for critical network services. Lead diagnosis and mitigation of significant networking, connectivity, and infrastructure incidents, and drive permanent remediation. Develop and maintain infrastructure using Terraform, OpenTofu, Terragrunt, Python, Go, or comparable technologies. Build reusable infrastructure patterns and automation that enable safe self-service for platform and engineering teams. Improve infrastructure change safety through automated validation, required review, observability, change logging, and rollback practices. Partner with Cloud Platform, Developer Platform, Systems Engineering, IT, InfoSec, and SRE teams on architecture that crosses networking, infrastructure, identity, security, and reliability domains. Serve as a senior technical escalation point during U.S. business hours. Create architecture standards, decision records, runbooks, and operational practices that reduce dependency on individual subject-matter experts. Mentor engineers and raise networking, infrastructure, and reliability expertise across the organization. Identify architectural and operational gaps beyond the immediate networking domain and help drive them to resolution. Your Experience: Minimum 10+ Years of experience required. Deep experience designing and operating complex production cloud networks in at least one major cloud provider, with meaningful experience in a second. Strong knowledge of routing, subnetting, segmentation, firewalls, NAT, DNS, VPN, ingress/egress, and private connectivity. Demonstrated experience troubleshooting complex production network and infrastructure failures. Strong hands-on experience with Terraform, OpenTofu, Terragrunt, or comparable infrastructure-as-code technologies. Experience building infrastructure automation using Python, Go, or a comparable programming language. Strong SRE experience including observability, incident response, root-cause analysis, recovery engineering, and reliability improvement. Experience operating Kubernetes or adjacent cloud-platform infrastructure. Experience designing safe infrastructure change and deployment practices. Ability to lead architecture decisions across multiple engineering organizations without formal authority. Strong written and verbal communication skills, including architecture documents, standards, runbooks, and incident reviews. Demonstrated ability to mentor engineers, distribute technical knowledge, and influence technical direction at Principal level. Preferred Qualifications: Experience across AWS, GCP, and Azure. AWS Transit Gateway, Cloud WAN, Direct Connect, PrivateLink, Route 53, or equivalent cloud-network technologies. GCP Cloud Router, Interconnect, Shared VPC, Private Service Connect, or equivalent technologies. Azure Virtual WAN, ExpressRoute, Private Link, or equivalent technologies. BGP and hybrid cloud/data-center networking. Tailscale, Headscale, WireGuard, or comparable private-access technologies. NetBox or other IPAM/DCIM platforms. Kubernetes CNI or advanced Kubernetes networking experience. Grafana, Prometheus, Mimir, Loki, CloudWatch, PagerDuty, Pingdom, or comparable observability tools. Experience with IAM and identity technologies such as Okta, Keycloak, FreeIPA, OIDC, SAML, SCIM, JIT access, certificates, secrets management, or privileged-access systems. Experience building policy-as-code, infrastructure guardrails, or automated deployment controls. Experience in large multi-account, multi-project, hybrid-cloud, or enterprise-scale infrastructure environments. About us: SingleStore delivers the cloud-native database with the speed and scale to power the world’s data-intensive applications. With a distributed SQL database that introduces simplicity to your data architecture by unifying transactions and analytics, SingleStore empowers digital leaders to deliver exceptional, real-time data experiences to their customers. SingleStore is venture-backed and headquartered in San Francisco with offices in Sunnyvale, Raleigh, Seattle, Boston, London, Lisbon, Bangalore, Dublin and Kyiv. Consistent with our commitment to diversity & inclusion, we value individuals with the ability to work on diverse teams and with a diverse range of people. T o all recruitment agencies: SingleStore does not accept agency resumes. Please do not forward resumes to SingleStore employees. SingleStore is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company that does not have a signed agreement with the Company. SingleStore values individuals for their unique skills and experiences, and we’re proud to offer roles in a variety of locations across the United States. Salary is based on permissible, non-discriminatory factors such as skills, experience, and geographic location, and is just one part of our total compensation and benefits package. For candidates residing in California, please see our California Recruitment Privacy Notice . For candidates residing in the EEA, UK, and Switzerland, please see our EEA, UK, and Swiss Recruitment Privacy Notice. Req ID: ENG00523

Ищем продуктового инженера-лидера: вы будете лично разрабатывать на React и TypeScript, руководить инженерной командой и улучшать пользовательский путь. Главный результат вашей работы — рост доли пользователей, получивших полезный результат: расчёт, план или документ.

Location: Chicago DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. As a Systems Support Engineer , you will help ensure the stability, reliability and production parity of non-production environments. You will work closely with development, QA, release management and production operations teams to make sure these environments match production closely, stay available and support high-quality releases. You will help reduce outages, and build systems and processes that engineers, testers and stakeholders can trust while contributing to a collaborative culture. Qualifications & Skills Bachelor’s degree in computer science, engineering, or related STEM field 2+ years of experience managing and troubleshooting Linux-based Demonstrated knowledge of network communications, including use of multicast networking Experience applying operational best practices in Dev and UAT settings Experience with incident response and root cause analysis Prior experience supporting electronic trading systems preferred. Ability to coordinate multiple priorities under time pressure Excellent written and verbal stakeholder communication skills Experience with scripting / automation using languages such as Python, Bash, Go, Java, or JavaScript Competence in a broad range of technologies, spanning cloud platforms, containerization, monitoring/alerting systems, and distributed messaging platforms (e.g., AWS, Kubernetes, Docker, Splunk, Prometheus, Grafana, RabbitMQ) Exposure to AI coding assistants and agentic tools (e.g., Claude Code, Codex), including hands-on experience using them to automate operational tasks or accelerate development and troubleshooting What You’ll Be Working On Increasing and maintaining parity between lower and production environments by standardizing tooling, infrastructure and configurations Implementing monitoring, alerting and incident response for UAT and Development Reducing environment downtime and improving reliability during testing Tracking and reporting on environment performance, including outage metrics and improvements delivered Collaborating with production operations and development teams to share best practices and ensure consistent operations Ensuring the status and stability of lower environments to deliver operational excellence What we Value: Intent over Instruction: We set goals; you determine the best way to achieve them Reliability & Accountability: You own your domain and follow through on commitments Continuous Improvement : You’re always looking for ways to align, monitor, and optimize environments Collaboration: You build strong partnerships across teams and disciplines About You: You enjoy diagnosing problems and thinking creatively about solutions You enjoy hands-on operational problem-solving and are curious about the bigger picture You thrive in fast-moving delivery pipelines where uptime and stability are mission-critical You are enthusiastic and keen to learn; you learn by doing and feel comfortable diving into unfamiliar technology The annual base salary range for this position is $115,000 to $175,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . [#LI-TL1]

Crusoe is looking for an Engineering Manager Cloud Monitoring Services Platform to lead engineers building storage and query systems for observability.

Задачи: — Автоматизировать процессы сборки, поставки и развертывания компонентов продукта — Автоматизировать выдачу результатов продукта конечным потребителям, включая перевод текущих ручных процессов в автоматизированный формат — Настраивать и развивать CI/CD-процессы для нескольких взаимосвязанных компонентов — Автоматизировать поставку компонентов в витрины/целевые контуры — Оптимизировать процессы сборки и доставки продукта с учетом требований к надежности и скорости поставки — Участвовать в доработке и реализации технических требований, направленных на повышение надежности и критичности продукта — Поддерживать и развивать инфраструктурные решения, необходимые для стабильной работы продукта — Взаимодействовать с командами разработки, тестирования и эксплуатации для выстраивания эффективного процесса поставки Требования: — Опыт создания и администрирования кластеров Kubernetes — Опыт написания автоматизации на ansible и jenkins — Опыт администрирования Linux — Понимание принципов работы виртуализации/контейнеризации — Опыт в построении и поддержке отказоустойчивых систем — Знание работы современных сетей Будет плюсом: — Разработка/умение читать golang-код — Понимание REST API, gRPC, WebSocket, HTTP — Умение автоматизировать тесты — Опыт работы с VictoriaMetrics и Grafana — Опыт работы с Keycloak — Опыт работы с Hadoop, Ozone, Spark, Flink — Опыт администрирования СУБД (PostgreSQL) — Опыт отладки и профилирования приложений Условия: — Внутренние семинары, митапы — ДМС со стоматологией для сотрудников и скидка на покупку ДМС для ближайших членов семьи — Техника для комфортной работы — Сессии профессионального развития персонала с планом индивидуального развития каждого сотрудника

Location: San Francisco Bay Area, USA Workplace: Hybrid Why work at Higgsfield AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like. About the role: Higgsfield AI is looking for a highly technical, hands-on MTS, ML Security to join Higgsfield Security and own security across our GPU clusters and AI/ML infrastructure, from model training to inference and production deployment. In this role, you will work as part of the Security team and closely with our ML and Infrastructure teams to design, implement, and operate security controls that protect models, data, and underlying infrastructure. Your core responsibilities will include securing GPU compute environments, assessing infrastructure and AI/ML vendors, and enforcing security requirements through technical controls, deployment policies, and verified remediation. We're looking for someone who combines deep security engineering expertise with a practical, solutions-oriented mindset. The ideal candidate is comfortable working across cloud environments, Kubernetes, Linux, and GPU infrastructure, and understands how to balance security, performance, and reliability in a fast-moving AI environment. This role carries direct ownership of GPU infrastructure security and the security requirements that third-party providers must meet to support Higgsfield’s workloads and data. What you'll do: AI/ML & GPU Infrastructure Security - Own the security of GPU clusters supporting distributed training and production inference across cloud and rented datacenter environments. - Harden GPU hosts, operating systems, drivers, container runtimes, Kubernetes clusters, and workload scheduling configurations; reduce privileged access and unnecessary exposure. - Secure distributed training environments and GPU workloads through isolation, access controls, and data movement restrictions. Validate isolation between tenants and workloads across compute, networking, and storage, including shared GPU environments where applicable. - Design and implement controls to protect sensitive datasets, model checkpoints, weights, and customer data. - Strengthen inference security through tenant isolation, service authorization, secure model loading. - Partner with ML and Platform Engineering teams to integrate security into infrastructure design and development workflows. Vendor Security Assessment & Enforcement - Lead technical security assessments of GPU infrastructure providers, datacenter operators, and other AI security vendors that process Higgsfield data and support AI workloads. - Evaluate vendor architecture and evidence covering tenant isolation, privileged access, data handling and retention, use of customer data for model training, encryption, vulnerability management, and incident response. - Translate security requirements into enforceable technical controls, including approved configurations, and continuous checks for configuration drift. - Track internal and vendor security findings to closure with accountable owners and deadlines, validate remediation, and escalate unmet requirements. Document any approved exceptions with compensating controls and expiration dates. Cloud & Platform Security - Design, implement, and maintain security controls across Linux, Kubernetes, cloud infrastructure, networks, and third party datacenter environments. - Secure infrastructure provisioning, configuration management, and access to third-party infrastructure providers. Restrict and audit vendor and administrator access to cluster management interfaces and production systems. - Implement least-privilege access, workload identity, secrets management, encryption, and auditable access controls. - Identify and remediate vulnerabilities and configuration risks across production systems, including GPU hosts, drivers, and container runtimes, coordinating changes with infrastructure owners to maintain service reliability. Security Operations & Risk Management - Develop and maintain detection and response capabilities for infrastructure and AI-specific security threats, including unauthorized GPU workloads, privilege escalation, and suspicious data transfers. - Investigate and respond to potential credential compromise, unauthorized data access, model theft, and compromised workloads. - Partner cross-functionally to implement practical security improvements that account for the performance, scalability, and reliability requirements of GPU workloads. Requirements: - Strong hands-on experience in Security Engineering, Infrastructure Security, Platform Security, or a related technical discipline. - Deep understanding of Linux, Kubernetes, networking, and cloud infrastructure security. - Practical experience securing or operating GPU clusters or distributed AI/ML infrastructure, with an understanding of training and inference workloads, GPU drivers and runtimes, and workload isolation. - Experience designing and implementing security controls across complex, distributed production environments. - Strong knowledge of identity and access management, workload isolation, encryption, secrets management, and least-privilege principles. - Experience conducting technical vendor security assessments, evaluating supporting evidence, and driving remediation with external providers. - Ability to identify, investigate, and remediate security vulnerabilities and infrastructure threats. - Proficiency in scripting or programming languages such as Python, Go, or Bash. - Experience partnering with Infrastructure, Platform, or ML Engineering teams to implement security solutions. - Strong technical ownership, sound judgment, and the ability to prioritize security risks in a fast-paced environment. - A hands-on, collaborative approach with the ability to independently drive security initiatives from design through deployment, verify that controls work in production, and hold internal teams and vendors accountable for agreed security requirements. Compensation & Benefits - We offer a competitive and thoughtfully structured compensation package designed to align with impact, experience, and long-term growth. - Base Salary: The anticipated salary range for this role is $200,000 - $300,000, depending on experience, skills, scope, and location. • Bonus: This role is Bonus eligible and may participate in the Company's discretionary annual bonus program. - Equity: In addition to cash compensation, employees are eligible to participate in the company’s stock option program and share in Higgsfield’s long-term growth. - Benefits: We offer a comprehensive benefits package designed to support employees professionally and personally, including medical, dental, and vision insurance, a competitive 401(k) retirement plan with company matching, and additional benefits and perks. - The opportunity to work on ambitious AI products alongside a highly experienced, fast-moving, and international team. - Significant ownership, direct impact, and opportunities for professional growth as the company scales. This is a hybrid role based in the San Francisco Bay Area. Team members are expected to work from our San Francisco office three full days per week, with the remaining days worked remotely and are expected to be available during agreed working hours and to maintain sufficient overlap with the relevant team’s time zone. We value in-person collaboration, active communication, responsiveness, and close partnership across teams. Higgsfield AI is an equal opportunity employer. We are committed to building a diverse and inclusive team and do not discriminate on the basis of race, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic.

Location: Israel 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 TAM Architect, you're the named technical lead for a small group of our largest customers. You carry the context of how they run ClickHouse, guide them from their first design decisions through production and growth, and make sure the rest of ClickHouse shows up for them when it matters. Your job is to keep them healthy, help them get more out of ClickHouse, and spot the next use case. You'll work inside our Support organisation and own escalations for your accounts, working closely with our support engineers. The role is based in Israel, close to some of our biggest customers in EMEA. Large enterprises are moving onto ClickHouse fast, and we're building out how we look after them. People joining now have a real say in how this role works. WHAT YOU'LL DO - Run a regular cadence with 4 to 8 strategic accounts (weekly, fortnightly or monthly, depending on the project), plus quarterly health checks and business reviews, on site where it helps - Lead onboarding, where the decisions that are hardest to reverse get made: schema and data modelling, table engines, ingestion, migration and query design - Once customers are live, keep performance and cost on track as they grow, and help them onto new use cases - Work closely with Support: own escalations for your accounts, with regular case reviews and a direct line into L3 engineering - Work with the right people for each piece of work: partner with Solutions Architects on new use cases and proof of concepts, and bring in Consulting Engineers for hands-on projects - Write it down: documented setup and configuration, knowledge base articles and reference architectures that help other customers too WHAT YOU'LL BRING - 5+ years in a hands-on, customer-facing technical role after the sale, whether your title was TAM, solutions architect, professional services, senior support or something else - Specialist depth in data modelling, query performance and integration on distributed or analytical databases - Hands-on SQL. You regularly write complex queries from scratch, and tune and debug them yourself - Experience owning a small book of high-touch enterprise accounts, where you know each customer's architecture in depth - Hands-on cloud experience (AWS, GCP and/or Azure) - You've run distributed systems, such as distributed databases, in production - You explain technical trade-offs clearly, to engineers and to executives - Fluent English and Hebrew NICE TO HAVE - Experience with ClickHouse, or with other analytical databases such as Snowflake, BigQuery, Redshift or Druid - Involvement in open source, as a user, contributor or community member - A working knowledge of Kubernetes GOOD TO KNOW - You'll be based in Israel. Travel to customer sites is part of the job, up to 35% of your time, within Israel and throughout EMEA - 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 rota, 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 four to five 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.

Компания «Сбер» ищет middle QA инженера для работы в продукте «СберИнкассация», который создает и внедряет digital-решения для управления инкассаторскими услугами. Задачи: — Ревью системных требований — Тестирование UI/UX форм — Тестирование backend сервисов — Тестирование REST API — Проверка бизнес-логики банковских процессов — Тестирование интеграций между сервисами — Анализ сетевых запросов и логов — Проверка корректности данных в базе — Локализация дефектов на разных уровнях системы — Подготовка и актуализация тестовой документации — Участие в регрессионном тестировании — Проведение end-to-end тестирования системы Требования: — Опыт ручного тестирования от 3 лет — Опыт тестирования web-приложений — Опыт тестирования backend сервисов и API — Тестирование UI веб-приложений (React / JavaScript) — Тестирование REST API — Тестирование Kafka интеграций — Работа с Insomnia — Работа с DevTools и HAR анализом — Работа с SQL (PostgreSQL) — Работа со сниферами Fiddler/Charles Proxy — Анализ логов сервисов — Работа с OpenShift / Kubernetes — Работа с JSON Будет плюсом: — Понимание Java backend сервисов — Опыт тестирования микросервисной архитектуры — Опыт написания автотестов (Java) — Использование ИИ инструментов в работе Условия: — Комфортный современный офис рядом с м. Кутузовская — Офисный формат работы — Ежегодный пересмотр зарплаты и годовая премия — Корпоративный спортзал и зоны отдыха — Гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ — Более 400 образовательных программ СберУниверситета для профессионального и карьерного развития — Программа адаптации и помощь руководителя на старте — Расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа — Бесплатная подписка СберПрайм+, скидки на продукты компаний-партнеров.

Location: Remote (United States | Canada) Workplace: Remote 1Password is growing. We’ve surpassed $500M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing. About 1Password At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future. We are looking for an Intermediate Developer to join the Device Trust team and help us improve the reliability and operational excellence of the systems behind the Device Trust authentication service. This is a software engineering role with a strong reliability focus. You will write and maintain production code, improve how our services are operated, and help make a critical applications path safer, more observable, and easier to evolve. Device Trust authentication is an important component of our customers’ authentication flows, helping organizations make device posture part of their access decisions. Because it sits directly in that path, reliability is a first-class engineering concern. The service is already relied upon by customers every day, and in this role you’ll help us continue raising the bar through stronger resilience, observability, operational practices, and safe evolution of the system. How we’re using AI today Our Engineering, Product, and Design teams are thoughtfully integrating AI across the full software and product development lifecycle to move faster without sacrificing quality or security. In practice, that looks like engineers using AI-assisted coding tools to accelerate reviews and catch bugs earlier, product managers synthesizing user research at scale, and designers rapidly prototyping and iterating with AI-generated mockups. We approach AI the same way we approach security: with clear principles, human accountability at every consequential decision point, and rigorous evaluation before anything ships to customers. This is a remote opportunity within Canada and the US. What we're looking for: - You have 2+ years of experience in software development. - Experience working with backend services, application programming interfaces (APIs), distributed systems, or other software where reliability and availability matter. - Take ownership of scoped problems from investigation through implementation and follow-up. - Familiarity with Ruby on Rails (Rails). - Use observability tools to understand system health and investigate issues; experience with Datadog is valuable. - Care about testing, maintainability, and clarity in both code and documentation. - Communicate clearly by sharing progress, raising blockers early, and helping stakeholders understand outcomes. Bonus points for: - Familiarity with or exposure to Kubernetes. - Experience with Datadog. - Experience with Terraform. What you can expect: - Build and improve the services that power Device Trust. - Improve the reliability, observability, and operability of production systems through software, automation, and thoughtful engineering practices. - Work across application code, service dependencies, cloud infrastructure, networking, deployment systems, and operational tooling. - Help establish safer ways to make and validate changes to critical systems. - Participate in incident response and post-incident learning, turning operational lessons into lasting improvements. - Partner with engineers across Device Trust, Platform, Security, and other teams to identify risks, reduce operational friction, and improve the customer experience. USA-based roles only: The annual base salary for this role is between $123,000 USD and $172,000 USD, plus immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. Canada-based roles only: The annual base salary for this role is between $111,000 CAD and $155,000 CAD, plus immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set. This posting is for an existing vacancy. Our culture At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone https://blog.1password.com/inside-the-culture-powering-1passwords-next-chapter/. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results. How we work with AI We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password. This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. To us, this means we do ask that you join live interviews without using AI tools so we can get to know how you communicate, solve problems, and collaborate with others. Our approach to remote work We believe in the power of remote work, but recognize that in-person connection is important to help us achieve our mission. While we are a remote-first company, travel for in-person engagement is a part of almost all roles, and we require our employees to be ready and willing to take part. Frequency will depend on role and responsibilities, and may include, but is not limited to: annual department-wide offsites, team meetings, and customer/industry events. What we offer We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer: Health and wellbeing 👶 Maternity and parental leave top-up programs 🩺 Competitive health benefits 🏝 Generous PTO policy Growth and future 📈 RSU program for most employees 💸 Retirement matching program 🔑 Free 1Password account Community 🤝 Paid volunteer days 🏆 Peer-to-peer recognition through Bonusly 🌎 Remote-first work environment *Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting. You belong here. 1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs. Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you. Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form https://jobs.ashbyhq.com/1password/automation-notice. For additional information see our Candidate Privacy Notice https://1password.com/files/candidate-privacy-notice.pdf.

Location: Tampa, United States; Austin, United States Workplace: hybrid TeamViewer provides a leading Digital Workplace platform that connects people with technology—enabling, improving and automating digital processes to make work work better. Our software solutions harness the power of AI and shape the future of digitalization. We believe that our diverse teams and strong company culture are key to the success of our products and technologies, that hundreds of millions of users around the world and around 645,000 customers across all industries rely on. With more than 1,900 employees worldwide, we celebrate the unique perspectives and talents that each individual brings to the table and foster a dynamic work environment where new ideas thrive. Are you ready to join our team and make an impact? We are seeking a highly motivated Technical Project Manager to lead enterprise integration projects for our growing customer base. This role is ideal for someone with a strong software engineering background who can bridge the gap between customers, product teams, and developers. The ideal candidate brings hands-on experience with modern technologies (Java, Kotlin, TypeScript, JavaScript, REST APIs, Kubernetes, and enterprise integrations) along with strong communication and leadership skills. Responsibilities Lead enterprise integration projects end-to-end, aligning customer requirements, technical delivery, and post-launch support. Serve as the primary liaison between customers, engineering, and stakeholders, driving cross-functional collaboration across APIs, mobile, and infrastructure. Manage project scope, timelines, risks, and dependencies across multiple initiatives. Facilitate technical discussions and support architecture, API design, and integration decisions (including OpenAPI). Oversee testing, release coordination, and troubleshooting across application, integration, and network layers. Communicate status, risks, and escalations clearly while promoting Agile best practices and strong team collaboration. Requirements Bachelor’s degree in Computer Science, Engineering, or related field. Strong background in software development and enterprise integrations. Experience with REST APIs, OpenAPI, and integration workflows. Solid understanding of networking, system configuration, and troubleshooting. Strong problem-solving, organizational, and communication skills; experience in Agile environments preferred. Preferred Qualifications Experience as a TPM, Solutions Architect, Engineer, or Engineering Manager. Experience managing enterprise integration or implementation projects. Familiarity with IoT, wearables, or frontline workforce applications. Experience with cloud platforms and DevOps practices. What we offer Work location is Tampa, FL or Austin, TX Competitive compensation Flexible PTO and paid holidays 401(k) with employer matching Comprehensive Health insurance package including 100% employer-paid medical coverage Up to 12 weeks of Parental Leave Basic Life Insurance, Short-Term & Long-Term Disability, 100% employer-paid Quarterly team events and companywide celebrations Open door policy, business casual dress code, frequent all Hands and Leadership Lunches TeamViewer is an equal opportunities employer and is committed to building an inclusive culture where everyone feels welcome and supported. We C-A-R-E and understand that our diverse, values-driven culture makes us stronger. As we continue to grow as a company, we also focus on enabling our employees to grow both personally and professionally. We are proud to have an open and embracing workplace environment that will empower you to be your best no matter your gender, civil or family status, sexual orientation, religion, age, disability, education level, or race. If you require any accommodations or adjustments during the application or hiring process, including interview or onboarding support, please reach out to your Talent Acquisition Partner, who will be happy to support you. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States. Please understand TeamViewer is unable to provide sponsorship for employment or work authorization now or in the future.

Ищем DevOps-инженера на крупный банковский проект - разработка продукта, который обрабатывает большие потоки событий: логи, аудит, события безопасности со всех Big Data платформ банка. Твои задачи:

Location: Remote- Europe/ Americas Who We Are: Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more. Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 10 million brokerage accounts. Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it. Alpaca is proudly backed by $400 million in funding from top-tier global investors including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Opera Tech Ventures, SBI Group, Derayah Financial, Unbound, Peak XV, Elefund, and Y Combinator. Our Team Members: We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond! We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply. About the Role As a Staff Software Engineer on the Platform team, you will own the technical direction of Alpaca's streaming platform - our Redpanda-based event backbone and the user-facing streaming infrastructure. Platform also owns Authentication, Developer Experience and QA, and AI-Native Engineering. Streaming is roughly two-thirds of the job and where we expect you to become the deepest engineer in the company; across the other three you review the designs, hold an informed opinion, and lead the work where they meet streaming. This is a Staff role, so we are hiring for direction as much as delivery - the engineer who decides what the streaming platform looks like in two years, writes the RFC that gets three teams to agree, and then builds the hard part. We own client-facing and internal services, maintain shared libraries nearly every team depends on, and manage our own deployments. Most of our time goes into Go, but we also write Helm charts, dig through logs and metrics, and get pulled into a wide variety of problems. Things You Get To Do Own the architecture of our event streaming platform end to end - Redpanda, the UTS ecosystem, client libraries and user-facing streaming - and set its two-to-three-year direction Lead the shift from batch to event-driven across Alpaca's systems, working with the teams who own them rather than around them Design user-facing streaming at scale: connection fan-out, slow consumers, backpressure, ordering and delivery guarantees, and the failure modes that only show up on a volatile market day Set the standards for event-driven design - schema evolution, topic ownership, replay, idempotency - and own the shared libraries other teams build against, including the cost of versioning and deprecation Shape AuthN/AuthZ direction across Alpaca and lead the work where identity meets streaming: authorizing real-time subscriptions, token lifecycle on long-lived connections, multi-tenant isolation Help shape how Alpaca builds with AI - the schemas, contracts and event streams you own are the substrate our agentic development platform runs on Partner with SRE on chaos testing and game days for the event backbone, and with our QA stream on test tooling and pre-production gates, so resilience is verified rather than assumed Lead through influence rather than authority, and multiply the engineers around you through mentoring, design review, and handing off the work that grows people Join the Platform on-call rotation and act as technical lead during incidents affecting shared infrastructure Who You Are (must-haves) 8+ years of professional engineering experience, including several years running systems at real scale. You write Go, or have deep experience in another strongly-typed language and will pick it up quickly. You have architected event streaming systems, not just used them - real production depth in Kafka or Redpanda across partitioning, consumer groups, rebalancing, retention and delivery guarantees, and how each breaks under load. You have delivered realtime data to clients at scale (WebSockets, SSE or gRPC streaming) and handled fan-out, slow consumers and backpressure in production. You have driven technical direction across team boundaries without formal authority. You can point to the decisions you owned, the RFCs you wrote, and what happened next. You have built or maintained libraries many teams depend on, and know what backward compatibility and deprecation actually cost. You have mentored senior engineers and left the teams around you better than you found them. You have real depth in at least one adjacent area - identity and access, developer tooling and CI, or testing and resilience - and genuine curiosity about the others. You know Kubernetes beyond the basics: you can write a Helm chart with relative ease, you understand security best practices, and you have job experience or certifications to prove it. You have worked with relational databases - we use PostgreSQL, but we are not picky as long as the fundamentals are solid. You have worked at a startup before - you thrive in ambiguous environments, embrace changing priorities, know when to balance technical debt with speed, and proactively tackle whatever needs to get done without relying on pre-existing processes or documentation. Who You Might Be (nice-to-haves) You’ve worked with an IDL or binary serialization format (Protobuf, Avro; we use FlatBuffers) and handled schema evolution across many consumers. You have experience with change data capture (Debezium, PeerDB or similar) and understand how Postgres logical replication works. You’ve worked on auth systems - OAuth 2.0, OIDC, JWT lifecycle, Keycloak or Cognito - especially around long-lived connections or machine-to-machine access. You’ve built agentic or AI-native developer tooling, or designed systems meant to be operated by agents rather than only by people. You’ve run chaos engineering or game days, or built the load and fault-injection testing that makes them worth running. You’ve done IaC with Argo CD or Terraform. You have experience with Grafana’s observability stack - Prometheus, Tempo and all the rest. You might have even written a PromQL query for a new alert once or twice. You’ve worked in fintech or another regulated domain and understand how compliance constraints shape architecture. How We Take Care of You: Competitive Salary & Stock Options Health Benefits New Hire Home-Office Setup: One-time USD $500 Monthly Stipend: USD $150 per month via a Brex Card Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce. Recruitment Privacy Policy

В нашу команду DevOps инженеров ищем начинающих специалистов с опытом 1-3 года. Задачи на поддержание и развитие инфраструктуры проекта: bare metal (OVH, Hetzner), Kubernetes, CI/CD, мониторинг.

• Разрабатывать full-stack-функции: от схемы данных и API до интерфейса и деплоя. • Создавать AI-агентов, инструменты ассистентов, retrieval и streaming-системы.

Основные задачи Разработка и развитие backend-инфраструктуры на Elixir/OTP. Проектирование высоконагруженных, масштабируемых и отказоустойчивых систем.

Location: Remote USA Workplace: remote ABOUT YOU   We are looking for a Software Engineer, Web3 for Xsolla ZK, Xsolla's Web3 ecosystem on a zkSync-based L2. This will involve working on: smart wallets built on account abstraction, SDKs that game studios and partners use to bring players on-chain, infrastructure backend services for tokenizing in-game items and currencies, ecosystem dApps: a DEX, an NFT marketplace and an auction. This is a senior fullstack role: you work across backend, frontend and smart contracts.   ABOUT US   Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. Responsibilities: WHAT YOU WILL OWN Features end to end: backend, frontend and production The on-chain / off-chain architecture of your product: what lives in contracts, what lives in services, and how the two stay consistent. You make these decisions and justify them in writing Security and correctness of what you ship: signing flows, interactions with contracts that hold user assets, keys and secrets Production operation of your services, as part of the team's on-call rotation WHAT YOU WILL DO Build backend services in Go and TypeScript: chain indexing, transaction relaying, event processing, APIs for dApps and SDKs Build infrastructure backend services for tokenizing in-game items and currencies Build dApp frontends in React: wallet connection, transaction signing, on-chain state in the UI Integrate smart wallets into products: accounts, paymasters, bundlers Develop SDKs used by game studios and partners Monitor services and contracts in production and take part in on-call Review code Set up and maintain AI tooling in the repositories (Claude Code, Codex, Cursor: rules, context, harness) so the team uses it effectively Qualifications & Skills: Experience 5+ years of commercial software development, with senior-level production experience across backend and frontend dApps that you shipped to production and maintained Web3 libraries and wallets viem and wagmi in production: clients and transports, contract reads and writes with typed ABIs, event subscriptions, wagmi hooks and connectors, caching and invalidation of on-chain state How wallet signers work: EOAs, browser and embedded wallets, smart accounts; personal_sign (EIP-191) and typed data (EIP-712); the EIP-1193 provider; network switching Hands-on experience with smart wallets: UserOperations, gas sponsored via paymasters, signature validation for contract accounts (ERC-1271) Backend Go and TypeScript (Node.js) for production services Processing on-chain events: idempotency, reorg handling, retries Asynchronous messaging and event-driven design (Kafka, RabbitMQ or NATS ): delivery guarantees, ordering, reprocessing Relational databases (PostgreSQL) and caching (Redis) Designing REST and gRPC APIs: versioning, backward compatibility Frontend React and TypeScript: rendering model, state management, performance Web security fundamentals: XSS , CSRF , CSP , safe handling of signatures and keys in the browser Smart contracts Reading and understanding Solidity contracts and the EVM (storage, gas, call semantics, proxy upgrade patterns, access control) well enough to integrate with them safely and review changes Common contract vulnerability classes (reentrancy, front-running / MEV , oracle manipulation, signature replay) and how they affect the off-chain side Operations Containers and orchestration (Docker, Kubernetes) at the level of deploying and debugging your own services Observability (we use Datadog; experience with Prometheus, Grafana, ELK / Graylog or OpenTelemetry also counts): metrics, logs, tracing and alerting for services and contracts; diagnosing incidents in production Engineering practices Testing: unit, integration, E2E Git, CI/CD (GitLab CI or similar) AI-assisted engineering Daily hands-on use of AI coding tools (Claude Code, Codex, Cursor) for development and review, including configuring them for a repository English Spoken English at B2 level or higher Nice to Have: zkSync / ZK Stack and the specifics of the zk -rollup stack Designing, writing and testing smart contracts in Solidity with Foundry; deploying and upgrading them safely Building ERC-4337 infrastructure yourself (bundlers, paymasters); EIP-6963, EIP-5792 DeFi: DEX and AMM mechanics NFTs and marketplaces: ERC-721, ERC-1155, auction mechanics L2 infrastructure: running nodes, indexers, bridges Designing SDKs for external developers Gaming domain experience How We Work: Decisions in writing. Significant technical decisions are written up as an RFC or ADR that lays out the options and trade-offs. We discuss the document, not a blank whiteboard. AI is part of everyday engineering. We use AI coding tools for development and review, and we treat configuring them for a codebase as real engineering work. The team. You will work alongside product managers, designers, smart contract, backend and frontend engineers, QA and DevOps. How We Hire: Intro call. Your background, your motivation and the role. Technical interview. Built directly on the Responsibilities and Qualifications & Skills sections above. We won't ask about anything this posting doesn't promise. Bar raiser. An engineer from outside the hiring team checks that you raise the overall engineering bar. Benefits: We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes 100% company-paid medical, dental, and vision plans, unlimited Flexible Time Off, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.   Equal Employment Opportunity Statement: Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.   Criminal History Consideration: For the Software Engineer, Web3 position, we will conduct a background check that may include the following: Criminal history check Employment verification Education verification   Relevance to Job Responsibilities: The background check is relevant to this position because of the following role responsibilities: Accessing confidential company data Ensuring compliance with regulatory requirements   Rights Under the Fair Chance Act: Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com.

Location: Russia Workplace: remote ABOUT XSOLLA Xsolla is a global video game commerce company headquartered in Los Angeles. It helps developers from indie to AAA fund, distribute, market and monetize their games, and acts as merchant of record for 1,500+ developers worldwide. For more information, visit xsolla.com. The role We are hiring a Software Engineer, Web3 for Xsolla ZK , Xsolla 's Web3 ecosystem on a zkSync-based L2. It includes: smart wallets built on account abstraction; SDKs that game studios and partners use to bring players on-chain; infrastructure backend services for tokenizing in-game items and currencies; ecosystem dApps: a DEX , an NFT marketplace and an auction. This is a senior fullstack role: you work across backend, frontend and smart contracts. WHAT YOU WILL OWN Features end to end: backend, frontend and production The on-chain / off-chain architecture of your product: what lives in contracts, what lives in services, and how the two stay consistent. You make these decisions and justify them in writing Security and correctness of what you ship: signing flows, interactions with contracts that hold user assets, keys and secrets Production operation of your services, as part of the team's on-call rotation WHAT YOU WILL DO Build backend services in Go and TypeScript: chain indexing, transaction relaying, event processing, APIs for dApps and SDKs Build infrastructure backend services for tokenizing in-game items and currencies Build dApp frontends in React: wallet connection, transaction signing, on-chain state in the UI Integrate smart wallets into products: accounts, paymasters, bundlers Develop SDKs used by game studios and partners Monitor services and contracts in production and take part in on-call Review code Set up and maintain AI tooling in the repositories (Claude Code, Codex, Cursor: rules, context, harness) so the team uses it effectively Required Experience 5+ years of commercial software development, with senior-level production experience across backend and frontend dApps that you shipped to production and maintained Web3 libraries and wallets viem and wagmi in production: clients and transports, contract reads and writes with typed ABIs, event subscriptions, wagmi hooks and connectors, caching and invalidation of on-chain state How wallet signers work: EOAs, browser and embedded wallets, smart accounts; personal_sign (EIP-191) and typed data (EIP-712); the EIP-1193 provider; network switching Hands-on experience with smart wallets: UserOperations, gas sponsored via paymasters, signature validation for contract accounts (ERC-1271) Backend Go and TypeScript (Node.js) for production services Processing on-chain events: idempotency, reorg handling, retries Asynchronous messaging and event-driven design (Kafka, RabbitMQ or NATS ): delivery guarantees, ordering, reprocessing Relational databases (PostgreSQL) and caching (Redis) Designing REST and gRPC APIs: versioning, backward compatibility Frontend React and TypeScript: rendering model, state management, performance Web security fundamentals: XSS , CSRF , CSP , safe handling of signatures and keys in the browser Smart contracts Reading and understanding Solidity contracts and the EVM (storage, gas, call semantics, proxy upgrade patterns, access control) well enough to integrate with them safely and review changes Common contract vulnerability classes (reentrancy, front-running / MEV , oracle manipulation, signature replay) and how they affect the off-chain side Operations Containers and orchestration (Docker, Kubernetes) at the level of deploying and debugging your own services Observability (we use Datadog; experience with Prometheus, Grafana, ELK / Graylog or OpenTelemetry also counts): metrics, logs, tracing and alerting for services and contracts; diagnosing incidents in production Engineering practices Testing: unit, integration, E2E Git, CI/CD (GitLab CI or similar) AI-assisted engineering Daily hands-on use of AI coding tools (Claude Code, Codex, Cursor) for development and review, including configuring them for a repository English Spoken English at B2 level or higher Nice to have zkSync / ZK Stack and the specifics of the zk -rollup stack Designing, writing and testing smart contracts in Solidity with Foundry; deploying and upgrading them safely Building ERC-4337 infrastructure yourself (bundlers, paymasters); EIP-6963, EIP-5792 DeFi: DEX and AMM mechanics NFTs and marketplaces: ERC-721, ERC-1155, auction mechanics L2 infrastructure: running nodes, indexers, bridges Designing SDKs for external developers Gaming domain experience HOW WE WORK Decisions in writing. Significant technical decisions are written up as an RFC or ADR that lays out the options and trade-offs. We discuss the document, not a blank whiteboard. AI is part of everyday engineering. We use AI coding tools for development and review, and we treat configuring them for a codebase as real engineering work. HOW WE HIRE Intro call. Your background, your motivation and the role. Technical interview. Built directly on the What you will own and Required sections above. We won't ask about anything this posting doesn't promise. Bar raiser. An engineer from outside the hiring team checks that you raise the overall engineering bar. THE TEAM You will work alongside product managers, designers, smart contract, backend and frontend engineers, QA and DevOps. BENEFITS We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we're not just building a business; we're cultivating a community that values creativity, collaboration, and the transformative power of play. EMPLOYMENT DETAILS Location: Remote  Employment Type: Full-time Schedule: 10:00–19:00 (flexible) Contract: Employment agreement (entity or EOR arranged per candidate location) EQUAL EMPLOYMENT STATEMENT Xsolla is dedicated to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, language, sexual orientation, national origin, genetics, political beliefs, disability, age, marital status, social background or other characteristics. We are committed to compliance with all fair employment practices regarding citizenship and immigration status. CONTACT If you have questions regarding our hiring practices, please contact careers@xsolla.com. For more vacancies, visit xsolla.com/careers.