Вакансии

Location: Warsaw, Mazowieckie, Poland; Sofia City, Bulgaria; Limassol, Cyprus Workplace: hybrid Capital.com builds and operates web and mobile trading platforms, public and partner APIs, and the backend services behind them, all in a highly regulated environment. As Application Security Architect, you will be the senior design authority for the security of these products. You will set the direction for how we secure software at scale: you will own secure-by-design patterns and standards, lead threat modelling and architecture reviews, and define the application security baseline that engineering teams build against. Working closely with the Product Security team and the Director of Product Security, you will guide AppSec processes and set the vision for your area without direct line management. You will treat security as a shared outcome rather than a gate, balancing strong protection with developer experience and delivery speed, and you will earn adoption through enablement rather than mandates. Responsibilities: Security Architecture & Standards: Define and maintain secure-by-default reference architectures for common patterns: web apps, mobile backends, microservices, public and partner APIs, and event-driven services Own core application security architecture decisions: authentication and authorisation, session management, API security, secrets management, multi-tenant isolation, and security logging and auditing Lead the redesign of user authentication and the delivery of security features into the product Develop and roll out application security standards, secure-coding guidelines, configuration standards, reusable design patterns, and architecture decision records (ADRs) that engineers can apply without a security expert in the room Define internal policies for the safe use of AI-assisted and vibe-coding tools Define security requirements for acquired technology and guide its secure integration Threat Modelling & Design Review: Establish and run a threat-modelling operating model, covering scope, cadence, templates, and facilitation, proportionate to each product's risk tier Own the security review stage of the new product approval process, covering architecture design and configuration Lead design reviews for high-impact initiatives: new products, new auth flows, payment and sensitive-data flows, platform migrations, and major refactors Identify design-level risks and agree practical, prioritised mitigations with engineering teams Secure SDLC, DevSecOps & Supply Chain: Assess the current state of application security, propose improvements, and drive the secure SDLC strategy with Engineering and Security leadership Oversee AppSec processes and own the tooling strategy (SAST, DAST, IAST, SCA, and secrets scanning), including how findings flow back to engineering Embed security controls as guardrails in CI/CD through policy-as-code, with agreed enforcement and escalation paths Partner with DevOps to organise repository management and prevent supply-chain attacks, covering safe component usage, dependency management, SBOMs, and build integrity Improve the security of our internal tools Requirements: Experience: 8+ years in technology, including 5+ years in a dedicated application or product security role, with a strong engineering background and hands-on architecture or design ownership Proven track record creating, documenting, and rolling out security standards, patterns, and best practices across a complex engineering organisation Deep, demonstrable threat-modelling experience across product portfolios Technical: Experience designing and implementing a secure SDLC in a cloud-native environment. Strong AWS knowledge is required, and exposure to GCP or other clouds is welcome Strong command of OWASP standards (Top 10, ASVS) and DevSecOps practice, including AppSec tooling (SAST, DAST, IAST, SCA, secrets scanning) and vulnerability management Deep understanding of modern distributed architectures: microservices, REST and GraphQL APIs, event-driven systems, OAuth2/OIDC, and containerised workloads (Docker, Kubernetes). You should be able to reason about their trust boundaries, attack surface, and data flows across web and mobile clients Collaboration: Exceptional ability to influence and align engineering teams without direct authority, and to brief both engineers and executives Pragmatism and strategic thinking: you balance the ideal with the achievable, protect delivery throughput, and turn long-term direction into an actionable plan Clear written communication through diagrams, ADRs, and patterns, plus a track record of mentoring and cross-functional collaboration Nice to have: Experience in fintech, trading, brokerage, or another regulated environment Awareness of relevant regulatory and compliance drivers: FCA and CySEC operational resilience, GDPR, and PCI DSS Software supply-chain security, including SBOMs and artifact and build integrity Experience securing AI-integrated product features, or using AI to scale an AppSec programme Experience building or running a Security Champions programme CSSLP, GIAC GDSA, or a hands-on offensive security certification. Certifications are valued but secondary to demonstrated experience What you'll get in return: You will join the company, that cares about work and life balance Annual Bonus based on the performance review cycle Generous Annual Leave Policy Medical Insurance and Pension fund, with additional benefit packages based on the location Hybrid working model (3 days from our modern office and 2 days fully remotely) Comprehensive Workation Policy with 30 more remote days available. Possibility of taking two additional days of paid leave per year to dedicate to volunteering efforts.

Задачи: — Разработка современных веб-приложений для международных клиентов — Участие в технических обсуждениях и проектировании решений — Помощь в оценке и планировании проектов — Тесное взаимодействие с клиентами и заинтересованными сторонами — Поддержка роста компании и технического направления Требования: — Опыт Full Stack разработки 5+ лет — Сильные навыки в React.js, Next.js, Node.js, TypeScript, REST API, PostgreSQL / MySQL, AWS или других облачных платформах — Опыт поставки production-приложений — Хорошие навыки английского языка для общения — Умение работать напрямую с международными клиентами — Предпринимательский склад ума и интерес к построению бизнеса Условия: — Возможность долгосрочного партнерства — Полностью удаленная работа (весь мир / Европа) — Международные проекты — Влияние на технические решения — Возможные обсуждения долевого участия или распределения прибыли для подходящего партнера — Участие в построении растущей IT-консалтинговой компании с раннего этапа Примечание: Начальный доход может быть ограничен, но цель — создать устойчивый бизнес с долгосрочными возможностями.

Location: New York Workplace: Remote THE ROLE We are looking for a Senior Engineer, Security to join our Platform Engineering team. This is a find-and-fix role. When you find a vulnerability in our infrastructure, you write the Terraform or the application change that closes it. Where the fix belongs to another team, you drive it to completion, with the CISO supporting you. You will report into Platform Engineering and work closely with our CISO, who sets the security agenda and is your escalation route when remediation stalls elsewhere. RESPONSIBILITIES - Fix it, don't just find it: Remediate security findings across our infrastructure, writing the Terraform and application changes that close them. Where the fix belongs to another team, drive it to completion. Run vulnerability management from Snyk, Prowler, and ASV findings through to verified fixes. - Own AWS security: Cloud posture across IAM and least privilege, network boundaries, secrets management, and logging coverage. Define the technical security baselines new services are built to, covering host hardening, WAF configuration and deployment patterns, and enforce them as code. - Find problems before anyone else does: Regular penetration testing against our own environment, ahead of the formal annual assessment carried out by our external testers. Threat modelling and security review for new services early enough to change the design, including our integrations with payment and custody providers. - Respond when it matters: Serve as technical lead for security incidents, including forensic investigation. Own and improve detection coverage in Datadog, tuning alerts for signals. WHAT YOU NEED - Five or more years in hands-on security engineering, with responsibility for production systems. - You write and ship code. Terraform and Python, and enough application fluency to fix what you find rather than hand it off. - Deep AWS security experience, including IAM and least privilege at organization scale, and container workloads in ECS or EKS. - Application security, including threat modelling and hands-on offensive testing against cloud and application targets. - Security incident response, including forensic investigation. - You have run vulnerability management and driven fixes through teams you do not manage; you work the finding queue on your own initiative, without being chased. - You have worked in a regulated environment and turned ISO 27001, PCI DSS, or SOC 2 requirements into engineering work. - Detection engineering in Datadog, or a comparable SIEM. - Securing CI/CD pipelines, particularly GitHub Actions. - Cryptography and secrets management in practice, including key rotation and certificate lifecycle. - Using AI coding tools to remediate at scale, and reviewing AI-generated code with a security eye - Experience with payments, cards, or digital assets. About Us   We’re building the world’s leading cross-border fintech for emerging markets - empowering families, fuelling local economies, and changing how millions access financial services.   Since our launch in 2019, we have transformed how money moves across borders with our operations spanning 6 out of 7 continents and covering both the busiest and most underserved (remittance) corridors. We tapped into a massive shift - from banks to phones - bringing digital finance to places where traditional systems never reached. The next stage of growth will fuel a network of services and products especially designed to make money more accessible to diaspora communities including local cards, and additional savings and payments features.   We’re growing fast, backed by world-class investors, and scaling a product that blends real world impact with cutting edge fintech innovation.   Here’s a little more: - Founded by Harvard grads and 3-time founders who previously built Segovia (acquired) and GiveDirectly (>$300M revenue, fastest-growing NGO in the world) - Backed by top investors including Spark Capital, Canaan, Reid Hoffman, Breyer Capital, Unbound, Wamda, and more - Built by global top performers from Bain, Google, McKinsey, Uber, Checkout, Bolt, and beyond - we move fast, stay humble, and care deeply about our mission - Truly global team - 250+ people, 50+ nationalities, 50+ languages - Guided by our values - ownership, impact, humility, and heart - in deed, not just word   TAPTAP VALUES https://www.taptapsend.com/our-values Impact first Team next Accept reality Propose solutions Win with grit Be proactively candid, with yourself and others Love the particular Own it Create positive energy Maybe, even have fun   Taptap Send is an equal opportunity employer dedicated to building an inclusive and diverse workforce. All employment decisions are decided on the basis of qualifications, experience and business need. We strongly encourage applications who are members of underrepresented communities to apply. If you require reasonable adjustments to be made during the recruitment process, please do not hesitate to let us know. Any information you provide us in this respect will only be used to accommodate your requirements. Note: we recognize imposter syndrome is real - any candidate that does not perfectly fit every characteristic of this role is still strongly encouraged to apply.

Location: London, England Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Your job is to make sure every payout and transaction lands with the right person. We have spent years getting very good at protecting the things a marketplace has always had to protect: checkout fraud, account takeover, courier abuse. But we are no longer only a marketplace. We now issue banking products, lend to merchants, move instant payouts to couriers, and collect cash on the doorstep. Every one of those is a new way for money to leave the platform. This is a new team, and it owns that surface: fraud wherever money moves through the platform. Who receives it, who lends it, who collects it, and who holds it in a financial account. Think instant payout rails, merchant cash advances, and platform-issued banking and earned-wage products serving millions of couriers and merchants. These are live loss surfaces, and the volume grows with every financial product we launch. We are now looking for a Backend Engineer (Golang) to build that protection. You will design and ship real-time detection and automated enforcement for our financial products across DoorDash, Wolt, and Deliveroo. The work is high-throughput, low-latency, and unusually consequential: a rule you ship on Monday can stop a serious loss by Friday. It is also close to greenfield, so you will be setting the patterns every future financial product inherits on day one. This role will be based in London , UK as one of the founding engineering roles in our London hub, working closely with our teams in Helsinki and Berlin. What you'll do: Build and maintain high-throughput, low-latency backend services in Go that score financial events in real time, including payout enrollments, bank account links, credit applications, and account-to-account transfers. Design fraud detection and automated enforcement for our financial products end to end: from signal collection through to the decision that blocks a fraudulent payout. Build on and extend our shared fraud decisioning platform, so signals, rules, and models work across all three of our brands instead of being rebuilt three times. Partner closely with risk analysts, data scientists, and product managers to turn observed fraud patterns into shipped detection, and to know when a rule, a model, or a product change is the right answer. Work across team boundaries with our account security, payments fraud, and financial product teams. We build on their signals rather than rebuild them, so clean interfaces matter. Contribute to architectural discussions and technical decisions as we establish the fraud infrastructure baseline for financial products, with support from senior engineers on the team. Write well-tested, observable code and help the team hold a high quality bar. In fraud, a silent failure is a loss event. Our expectations: 3 to 6 years of professional software engineering experience, including backend services you have shipped and owned in production. 1+ years of production experience in Golang, or strong experience in another backend language and real enthusiasm for picking Go up quickly. A working understanding of low-latency, high-throughput distributed systems. Real-time decisioning comes with a latency budget, and you are keen to learn to build inside one. Hands-on experience with SQL and/or NoSQL databases, and some exposure to event-driven architectures (Kafka or similar). Willingness to operate what you build, including a share of on-call, with a pragmatic approach to reliability. Uses AI tooling in day-to-day development and can critically evaluate its output for correctness and quality. Nice to have Experience in fraud, risk, payments, lending, or financial crime, especially money movement fraud, bank account linking fraud, payout abuse, or lending fraud. Experience with rules engines, real-time feature stores, or ML model serving in a decisioning path. Background in Kotlin, Java, Python, or Node.js alongside Go. Familiarity with cloud infrastructure (AWS, GCP). Experience working across multiple brands, regions, or regulatory regimes. What we value A product-oriented mindset. You think beyond the ticket, understand the "why" behind the work, and take a high level of responsibility for outcomes rather than output. Comfort with ambiguity. This is a new team on a new surface; parts of the charter are still being drawn, and you will help draw them. A track record of owning a project or feature end to end, especially in fast-paced environments. Clear and proactive communication, with a collaborative spirit. We work across three companies and several time zones, so we move fast, but we succeed together. An adversarial instinct. The best fraud engineers enjoy thinking like the attacker. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

Location: Seoul, South Korea 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 As a Partners Solutions Architect on the Applied AI team at Anthropic, you will be a Pre-Sales architect focused on cultivating technical relationships with our Global and Regional System Integrators (GSIs/RSIs), and our cloud partners (AWS and GCP). You will strengthen our relationships with key partners to accelerate indirect revenue, enable their AI practices, and execute on long-term GTM strategy. Key Responsibilities Strategic Technical Partnership : Be a technical thought partner to the Anthropic GTM partnerships team, providing technical expertise to better understand the partner landscape, driving key strategic programs, and identifying opportunities to deepen partner technical capabilities. Embed with GSI and cloud partner technical teams to enable their AI practices, support troubleshooting, evangelize Anthropic in their developer communities, and serve as an escalation point for complex technical issues. Joint Solution Development: Collaborate with partners to identify high value industry-specific GenAI applications, develop joint solutions and codify reference architectures / best practices to accelerate time to deployment Customer Deal Support: Intervene directly to unblock strategic customer deals where partners are the primary delivery vehicle, providing deep technical expertise and solution architecture guidance. Partner Ecosystem & Events : Represent Anthropic at partner events such as GSI customer workshops, AWS summits, and industry conferences. Lead or support partner-specific developer events, hackathons, and technical enablement sessions, especially for technically native communities. Product Feedback: Validate and gather feedback on Anthropic's products and offerings, especially as they relate to partner use cases and deployment patterns, and deliver this feedback to relevant Anthropic teams to inform product roadmap and partner strategy. Preferred qualifications 5+ years of experience in technical customer-facing/partner-facing roles such as Solutions Architect, Sales Engineer, Partner Sales Engineer, Technical Account Manager Track record of successfully partnering with GSIs and/or cloud providers to solve complex technical challenges, from initial solution design through customer delivery Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more Strong presentation & technical communication skills with the ability to translate requirements between technical and business stakeholders Experience designing scalable cloud architectures and integrating with enterprise systems Familiarity with common LLM frameworks and tools or a background in machine learning or data science Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities A love of teaching, mentoring, and helping others succeed Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems Fluent in Korean and English 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.

Задачи: — Установление и поддержка инфраструктурных паттернов для рабочих нагрузок данных. — Проектирование и поддержка эталонных паттернов для платформ данных ZoomInfo: стриминг и месседжинг (Kafka/Confluent, Pub/Sub), операционные базы данных (PostgreSQL/Cloud SQL, MongoDB), аналитические хранилища (BigQuery, Snowflake), поиск (Elasticsearch/Solr), оркестрация и обработка пайплайнов (Apache Airflow/Cloud Composer, Dataflow/Apache Beam), открытые форматы таблиц (Apache Iceberg). — Разработка Terraform-модулей, GitOps-воркфлоу и документированных стандартов для использования командами данных. — Определение CI/CD и GitOps паттернов для задач и пайплайнов данных, сотрудничество с платформенной и дата-инженерной командами для безопасной и автоматизированной доставки данных. — Установление паттернов производительности, стоимости и наблюдаемости, включая оптимизацию запросов и хранения, мониторинг, алерты и практики SLO. — Определение базовых паттернов для резервного копирования, восстановления и аварийного восстановления данных с целями RTO/RPO. — Сотрудничество с FinOps по расходам на уровне данных. — Проведение обзоров рабочих нагрузок команд на соответствие паттернам и помощь в выравнивании. — Проведение POC новых технологий данных и предложений поставщиков в рамках процесса закупок и жизненного цикла технологий. — Определение паттернов подключения управляемых поставщиками сервисов данных к GCP с учетом безопасности, сетей и контроля затрат. — Поддержка усилий по консолидации данных и управлению ими, включая классификацию, резидентство и политику доступа. — Создание эталонных реализаций, написание ADR и сотрудничество с командами для внедрения паттернов. — Участие в еженедельных архитектурных обзорах, расширение библиотеки стандартов и каталога ADR. — Проведение дизайн-ревью, воркшопов и консультирование команд по инфраструктурным вопросам. Требования: — Умение влиять и коммуницировать, представлять рекомендации с прототипами, бенчмарками и обоснованиями. — Опыт архитектуры облачной инфраструктуры на GCP и/или AWS, включая compute, Kubernetes (GKE или эквивалент), VPC, IAM, стоимость и надежность. — Сильные навыки Terraform и GitOps, включая проектирование и ревью модулей. — Умение с уверенностью оценивать дизайн сервис-меш и сетей. — Практический опыт работы с инфраструктурой данных в масштабе от нескольких терабайт до петабайт с высокими нагрузками и чувствительностью к задержкам. — Глубокий опыт в минимум двух областях данных: стриминг и обработка потоков (Kafka/Confluent, Flink), реляционные операционные базы (PostgreSQL), NoSQL (MongoDB), колоночная аналитика и lakehouse (BigQuery, Snowflake, Iceberg), поиск (Elasticsearch/Solr), оркестрация и обработка пайплайнов (Airflow, Dataflow/Beam). — Навыки оптимизации производительности и стоимости, диагностики и исправления медленных или дорогих рабочих нагрузок. — Способность разрабатывать и тестировать прототипы, предпочитая рабочие решения диаграммам. — Опыт проведения технических оценок технологий и подготовки рекомендаций для руководства и закупок. Преимущества: — Опыт поддержки миграции lakehouse или data mesh с инфраструктурной стороны. — Реализация контроля классификации данных, резидентства и соответствия GDPR/CCPA на уровне инфраструктуры. — Опыт эксплуатации графовых или распределённых SQL баз данных. — Знание инфраструктурных требований AI/ML рабочих нагрузок. — Опыт создания или применения AI-усиленных рабочих процессов для разработчиков или архитекторов. — Участие в архитектурных советах или аналогичных органах управления. Образование и опыт: — Степень бакалавра в области компьютерных наук, технической области или эквивалентный практический опыт. — 10–15+ лет опыта в облачной инфраструктуре, платформенной или дата-инфраструктурной инженерии, включая несколько лет установления паттернов и стандартов, от которых зависят несколько команд. Условия: — Удалённая работа. — Годовая зарплата от $157,500 до $247,500 USD. — Дополнительная компенсация, включая бонусы, комиссионные, акции и другие льготы.

Workplace: remote Location : Quantori is an international team: we have colleagues who work not only from office but also remotely from all over the world. Responsibilities : Provision AWS infrastructure with Terraform and configure Linux hosts in AWS and the external data center with Ansible, so every environment can be rebuilt from code. Build and run a Kubernetes cluster for shared platform services (observability, Keycloak, HashiCorp Vault, web applications), delivered through GitOps with Argo CD and Helm. Build and maintain GitLab CI pipelines for infrastructure and platform services. Integrate corporate SSO through Microsoft Entra ID and keep user and group IDs consistent across all sites and compute pools. Set up monitoring and alerting across compute pools and platform services with Prometheus and Grafana. Implement encryption, key management, least-privilege access and audit logging, and support the client's security review. What we expect : 5+ years of experience in DevOps, Platform, or Cloud Engineering, including ownership of production environments. Strong hands-on experience with AWS (VPC, IAM, EKS, EC2, S3, KMS) and Terraform. Strong Linux administration skills and Ansible experience. Production experience with Kubernetes, Helm, and Argo CD. Experience building CI/CD pipelines with GitLab CI or GitHub Actions. Experience with Prometheus and Grafana. Experience with SSO integration (OIDC/SAML) using Keycloak and Microsoft Entra ID. Experience with HashiCorp Vault for secrets management. Solid networking knowledge: routing, DNS, firewalls, site-to-site IPSec VPN and hybrid cloud connectivity. Python and Bash scripting for automation. Ability to work independently and communicate directly with client IT, network and security teams. Nice to have : Experience with HPC environments: Slurm, AWS ParallelCluster, Open OnDemand. Experience with Argo Workflows. Experience with hybrid storage and data transfer: NetApp ONTAP, AWS DataSync, rclone. Experience in pharma, life sciences, or other regulated industries. AWS certifications. We offer : Competitive compensation Remote or office work Flexible working hours Healthcare benefits: medical insurance and paid sick leave Continuous education, mentoring, and professional development programs A team with an excellent tech expertise Certifications paid by the company

Location: Australia, Adelaide Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Senior Service Reliability Engineer Our Site Reliability Engineering team plays a significant role in delivering on the promise of a great cloud gaming experience to our customers. We do this by influencing design and operational decisions towards the overall stability of the gaming service. Our SREs focus on three main things: overall ownership of production, production code quality, and deployments. The successful candidate will be self-directed and able to participate in the way we make decisions at different levels. We expect our SREs to have opinions on the state of our service and provide critical feedback during different phases of the operational lifecycle. We are engaged throughout the software development lifecycle, ensuring operational readiness and stability. Requirements Minimum of 7+ years working experience in Software Development and/or Linux Systems Administration role. Strong interpersonal, written and verbal communication skills. Available to be scheduled in on-call rotation. Skills & Knowledge Proficient as a Linux Production Systems Engineer, with experience managing large scale Web Services infrastructure. Development experience in one or more of the following programming languages: Python (preferred) Bash, Go, Java, C++, or Rust In addition, experience with at least 3 of the following topics: Distributed data storage at scale (Hadoop, Ceph) NoSQL at scale (MongoDB, Redis, Cassandra) Data aggregation technologies. (ElasticSearch, Kafka) Scaling and running traditional RDBMS (PostgreSQL, MySQL) with High Availability Monitoring & alerting (Prometheus, Grafana), and Incident Management toolsets Kubernetes and/or AWS (deployment and management) Software distribution (Package management and distribution at scale) Configuration management (ansible, saltstack, puppet, chef) Software performance analysis and load testing (QA or SDET experience: a plus) Responsibilities Taking a leadership role in ongoing improvements in Reliability and Scalability Work closely with SRE Management to define KPIs, processes and drive continuous improvement Influence the architecture and implementation of solutions within the division Mentor more junior SRE staff and enable them for success Act as a voice to represent SRE in the wider organisation Represent the operational scalability of solutions in the wider division Lead small-scale projects from inception to implementation Design platform-wide solutions and provide technical leadership during their implementation Demonstrate a high-level of organizational skills and initiative in the role Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY 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 Anthropic's Legal Tech engineers play a specialized and critical role in keeping Claude at the frontier. Partnering closely with counsel, we provide custom infrastructure and guidance for complex, novel technical matters, empowering teams across the company to continue meeting our legal obligations as we innovate. As a Senior+ Software Engineer on our Legal Tech team, you'll build dedicated, highly secure, and reliable cloud environments and data processing and storage capabilities at speed and scale. You will own your scope end to end: from raw requirements all the way through to large-scale production systems that satisfy legal invariants and unlock new possibilities. The systems you build won't just be dependable and scalable; they'll be interpretable and auditable, demonstrating to skeptical audiences exactly how they worked and why results can be trusted. You'll be an essential member of a collaborative team, working together to solve difficult problems against fixed deadlines. You will own internal customer relationships as well: you'll gather, prioritize, and coordinate needs from colleagues on Privacy, Security, Research, and/or Infra as well as Legal, to ship the right capabilities on the right timelines. You'll act as a trusted advisor: clearly explaining technical concepts and constraints to inform legal decisions, and proactively designing new approaches to prevent classes of problems. Your infrastructure expertise will directly empower our business to calibrate and manage risk, innovating faster thanks to systems that build in legal considerations. Key responsibilities Build and operate dedicated cloud infrastructure, storage, and data pipelines for specialized workloads that can't run on general-purpose systems Design architectures with excellent security, privacy, reliability, scalability, and auditability baked in Partner with a wide range of internal customer teams to translate requirements into sound approaches and realistic ETAs Deliver against fixed deadlines Support complex and novel legal requests on controlled infrastructure, with verifiable chain of custody Pair with engineering teams across the company to extend existing infrastructure to support new workflows and/or legal requests Work with nontechnical stakeholders to clarify their needs through responsive, easy-to-follow dialogue Minimum qualifications Experience designing, building, and operating highly trusted infrastructure and data systems in production, including owning architectural decisions Experience working across large, complex, multi-team environments, including in stacks and code you don't own Ability to take ownership of a cloud account and secure it end to end (networking, storage, identity, encryption, least-privilege provisioning, etc.) on AWS and/or GCP Ability to translate legal and privacy requirements into sound technical designs and implementations that teams are excited to adopt A habit of verifying rather than assuming: designing checks for invariants and plainly naming what isn't proved Self-directed in a high-change environment, and comfortable resequencing quickly when new needs emerge Clear communication with nontechnical stakeholders, and an understanding of their needs Preferred qualifications Software engineering experience with an infrastructure, data, privacy, and/or security focus Proficiency with large-scale data tooling, such as distributed processing, lakehouse table formats, and/or query engines Understanding of data processing pipelines, LLM training, and/or provenance and lineage Experience with secure enclaves, confidential computing, clean rooms, or other purpose-built environments for sensitive data Background in eDiscovery, litigation support, or records retention at scale, including chain of custody and verifiable integrity The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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 Action1 is an autonomous patch management platform trusted by many Fortune 500 companies. Cloud-native, infinitely scalable, highly secure, and configurable in 5 minutes, it just works and is always free for the first 200 endpoints, with no functional limits. By pioneering autonomous OS and third-party application patching, Action1 helps organizations eliminate routine work, reduce ransomware and security risks, and protect the digital employee experience. It provides real-time vulnerability assessment and remediation across remote and on-site endpoints without requiring a VPN, while peer-to-peer patch distribution reduces bandwidth use on local networks. In 2026, Action1 was recognized as the fastest-growing founder-led cybersecurity company in America on the Inc. 5000. Action1 is led by industry veterans Alex Vovk and Mike Walters, American entrepreneurs who founded Netwrix, which has grown into an industry-leading, multibillion-dollar cybersecurity company. We are looking for a Dev Manager to lead the engineering team responsible for integrations between our product and external systems, including the Integrations Store. You will combine engineering leadership with hands-on technical expertise to deliver secure, reliable integrations that fit our customers' workflows. What you'll do: Lead and develop a team of engineers, providing technical direction, mentoring, and regular feedback. Own delivery outcomes within the agreed scope, provide practical estimates, and make capacity and priority tradeoffs visible. Delegate ownership to engineers and, as the team grows, team leads; distinguish near-term delivery from long-term capability development. Keep the role to no more than three clearly defined focus areas, with team leads taking ownership as capacity grows. Work with Product Management to define priorities, plan delivery, and translate customer needs into integration capabilities. Oversee the design, development, and maintenance of integrations, including: - Connectors to third-party applications and services. - An Integrations Store for discovering and managing available integrations. - Data mapping, validation, and synchronization between systems. - Authentication, authorization, and secure credential handling. - Monitoring, troubleshooting, and recovery from integration failures. Guide technical decisions within the assigned domain from solution design through development and production rollout, coordinating cross-cutting architecture and security decisions with their designated owners. Establish reusable integration patterns that handle retries, rate limits, duplicate events, and API version changes reliably. Own automated pipelines for building, testing, validating, and deploying integrations. Improve integration reliability, performance, and observability, and guide the team in resolving production issues. Coordinate with other engineering teams and external partners to manage dependencies and compatibility. Apply AI technologies where they improve integration development, testing, or support, with appropriate validation of outputs. Requirements What we're looking for: Experience leading software engineers and owning the delivery and operation of production systems. Strong software engineering fundamentals and the ability to contribute to technical problem-solving. Excellent knowledge of Node.js, JavaScript, and TypeScript. Experience building and operating AWS services in production. Hands-on experience designing and maintaining APIs and integrations with external systems. Understanding of distributed systems, asynchronous processing, data consistency, and failure recovery. Proficiency in SQL and experience with data modeling, aggregation, and query performance. Experience with secure authentication and authorization for integrations. Strong communication skills and the ability to align engineering work with product priorities. Professional working proficiency in English for leading an English-speaking team and collaborating across functions. Nice to have: Experience writing automated integration and contract tests. Proficiency in SQL. Experience with runtime isolation and sandboxing for sensitive execution. Experience in B2B SaaS, security, compliance, or data governance. Experience building high-load products with numerous endpoints. Experience maintaining integrations across multiple third-party API versions. Benefits Fully remote work with flexibility to support your work-life balance. A collaborative environment that empowers you to own your domain and implement best practices. Stable income, benefits, flexible working hours, and opportunities for career advancement. Friendly, professional colleagues who are eager to support you and help you grow. Engaging challenges and opportunities to make a meaningful impact.

Location: Limassol, Cyprus The System & Infrastructure Administrator is responsible for the day-to-day administration, support, security, and reliable operation of the company’s corporate IT environment. The role ensures that user access, infrastructure, internal services, networks, endpoints, and core business systems remain available, secure, and properly maintained to support daily business operations. Responsibilities Manage the full employee access lifecycle (Joiner–Mover–Leaver) across Microsoft 365, Active Directory, GitLab, 1C-related systems, Slack, ClickUp, Vaultwarden, VPN, file storage, and other corporate services. Provision and revoke accounts, access, licences, MFA, SSO, VPN access, equipment, and company assets; update access promptly when employees change roles or leave. Administer Microsoft 365/Entra ID, Windows Server, Active Directory, Group Policy, DNS, DHCP, file services, Linux systems, and SMB-based shared storage. Maintain server and virtualisation infrastructure, storage, backups, internal services, and remote-access solutions. Administer office networks, Wi-Fi, VLANs, VPNs, firewalls, switches, routers, DNS records, domains, and TLS certificates. Monitor infrastructure and backup jobs, perform regular recovery tests, apply patches and updates, and troubleshoot incidents. Operate endpoint protection, EDR, vulnerability-management, logging, and SIEM tools; triage alerts and escalate security incidents when required. Provide infrastructure-level support for SWIFT, 1C-related systems, corporate websites, and internal web services. Provide L2–L3 support for employee endpoints and workplace technology, including advanced troubleshooting, hardware replacement, OS and application issues, access-related problems, encryption, VPN connectivity, and escalated technical incidents. Manage the lifecycle of laptops, peripherals, IT assets, software licences, subscriptions, repairs, and approved purchases. Maintain technical documentation, asset and access records, recovery procedures, and operational runbooks; automate repetitive tasks where appropriate. Requirements 3+ years of hands-on experience in system administration, infrastructure support, or corporate IT operations. Strong practical knowledge of Windows Server, Active Directory, Group Policy, Microsoft 365/Entra ID, DNS, DHCP, and access management. Working knowledge of Linux administration and troubleshooting. Strong understanding of TCP/IP, VLANs, routing, NAT, VPNs, Wi-Fi, firewalls, NAS, and SMB. Experience with virtualisation, Proxmox, ZFS, LVM, storage systems, backup systems, and recovery procedures. Experience with Docker, GitLab CI, and container registries. Understanding of RBAC, least privilege, MFA, SSO, privileged and service accounts, access reviews, patching, endpoint security, and incident escalation. General knowledge of cloud providers and cloud concepts, including compute, storage, networking, IAM, monitoring, backups, shared responsibility, and basic cost awareness. Experience supporting employee devices at L2–L3 level and working with an ITSM/helpdesk system. Basic automation skills in PowerShell, Bash, Python, Ansible, or APIs. Good written English and the ability to maintain clear technical documentation. Nice to Have Hands-on experience with AWS, including IAM, EC2, VPC, S3, Route 53, CloudWatch, or AWS Backup. Experience operating or troubleshooting Kubernetes clusters. Experience with SIEM, EDR, vulnerability scanners, PKI, certificate automation, or secrets-management systems. Experience supporting 1C, SWIFT, financial systems, Microsoft Intune, or ITAM/CMDB platforms. Benefits Competitive salary; Annual performance bonus; Access to our Limassol offices, including daily drinks and snacks, as well as parking facilities; Working hours are from 9:00 to 18:00, with a shorter day on Fridays until 16:30; 24 working days of paid annual leave, in addition to statutory public and bank holidays in Cyprus; 14 working days of paid sick leave per calendar year; Work permit sponsorship and full support with all related arrangements; The opportunity to participate in corporate sports activities and events, and receive corporate gifts.

Location: Serbia; Russia; Cyprus; Tbilisi, Georgia; Kazakhstan; Belarus We’re hiring strong backend engineers to join several of our core engineering teams — Banking, Loans, Core Tech Platform, and Cards. All teams work on high-impact, backend-heavy systems that power key financial products and internal platforms. We're striving for engineering excellence, not just in delivery speed, but in quality of systems and the craft of software development. We're building a team that values clarity, good architecture, testing discipline, and a collaborative engineering culture. Our stack includes: Java • Spring Boot • AWS (EKS) • MySQL • Kafka • Redis • Grafana • Prometheus. Requirements Our ideal candidate has a real production experience in Java backend development: Ideally with modern frameworks like Spring Boot Familiarity with cloud-native environments Have experience building and supporting distributed systems at scale Writing production-grade code with attention to reliability, maintainability, and testability Fintech experience is a big plus. Especially if you’ve worked on things like payments, banking products, etc. Fluent Russian and English language These backend roles are not “just API glue” but engineers who understand how systems work under the hood, care about observability and performance, and want to build things that last. Benefits Flexible and completely remote full-time role The opportunity to work in an innovative fintech company with a global reach Engaging tasks and the chance to influence the development of cutting-edge products The opportunity to grow your skills in a global, distributed team environment.

Задачи: — собирать, анализировать и формализовать бизнес-требования, переводить их в системные и функциональные требования — проектировать и описывать http api (openapi 3.x), json-схемы, xml/xsd-контракты — проектировать интеграционные взаимодействия: rest, soap, grpc, асинхронные обмены через kafka / rabbitmq — моделировать бизнес-процессы в нотации bpmn 2.0, проектировать схемы процессов (camunda / аналоги) — разрабатывать и вести проектную документацию: er-диаграммы, диаграммы последовательностей, диаграммы развёртывания, матрицы ролей — проектировать логические модели данных для рсубд и документо-ориентированных субд — участвовать в архитектурных решениях: применять паттерны cqrs, transaction inbox/outbox, bff — взаимодействовать с смэв и государственными информационными системами — описывать требования к информационной безопасности: sso, oauth 2.0, x.509, укэп (криптопро / аналоги) — формировать критерии приёмки, участвовать в ревью, ставить задачи на разработку и тестирование Требования: — опыт работы системным/бизнес-аналитиком от 5 лет, из них не менее 2 лет на уровне Senior — высшее техническое или ИТ-образование — уверенное владение русским языком (деловая и техническая коммуникация) — английский — чтение технической документации — умение читать код на java, javascript, typescript на уровне, достаточном для анализа бизнес-логики — понимание принципов фронтенд-разработки: js-фреймворки (angular, react или vue), компонентный подход, рендеринг html — уверенное знание субд (postgresql, oracle или аналоги): чтение ddl, написание sql-запросов — опыт работы с документо-ориентированными субд (mongodb / аналоги) — опыт работы с полнотекстовым поиском (opensearch / elasticsearch) — понимание принципов работы резидентных бд (redis / аналоги) — разработка и документирование http api по спецификации openapi 3.x — разработка и валидация json-схем — чтение и анализ xml/xsd — понимание принципов трансформации xml ↔ json — знание протоколов soap и grpc — моделирование процессов в нотации bpmn 2.0 (чтение bpmn / epc) — понимание принципов работы процессных движков: деплой схем, создание экземпляров процессов, управление контекстом, externaltask (camunda / аналоги) — понимание архитектуры apache kafka: публикация, чтение, consumer groups, партицирование — понимание отличий kafka от rabbitmq и сценариев применения каждого — практическое применение паттернов: cqrs, transaction inbox / outbox, bff — знакомство с фреймворками togaf и нотацией archimate — базовое понимание kubernetes, docker, git, ci/cd пайплайнов — опыт работы с системами мониторинга и журналирования: prometheus, grafana, elk/opensearch — понимание принципов работы nginx / reverse proxy — опыт работы с протоколом s3 (minio / aws s3 / аналоги) — знакомство с hdfs, ceph — sso, oauth 2.0, openid connect — сертификаты x.509, pkcs7, cades — усиленная квалифицированная электронная подпись (укэп) — навык создания и ведения: описание информационного обеспечения, логическая модель данных, er-диаграммы, диаграммы последовательностей (uml), диаграммы развёртывания, матрицы ролей Условия: — рыночную зарплату и премии — драйвовые задачи и ресурсы для их реализации — гибридный режим работы: можно работать удаленно или в современном офисе в центре — преимущества аккредитованной it-компании — материальную помощь в случае важных событий в жизни — корпоративное обучение у топовых провайдеров и доступ к онлайн-библиотеке — корпоративные тренировки и спортивные активности - бег, футбол, волейбол, баскетбол, теннис и другие — комьюнити по интересам — скидки от партнеров на дмс, связь, развлечения, подарки, спорт и т.д.

Location: British Columbia Workplace: Hybrid Safe Software is looking for an experienced developer to join our Cloud Applications team and take a leading technical role in our FME AI Service, AI Assist Plugin, and future AI product offerings. This is deliberately a hybrid role. We need the software engineering depth to build and operate production services, alongside the experimental instinct to determine empirically what makes an LLM-based agentic system work. Many of the problems don't have standard solutions yet, so you'll be the person who designs the experiment, measures the result, and turns the finding into a shipped improvement. We have an immediate opening and are excited to find the right candidate to join our team. ABOUT THE TEAM As a member of our Cloud Applications development team, you will take technical leadership of designing and developing new features, as well as maintaining existing functionalities in our products. You will primarily work in Python (FastAPI and LangChain), with a willingness to learn new languages and technologies as needed. You will also contribute to support our live applications. The team practices agile development and utilizes Kanban boards to manage their backlog, epics and stories. As a Staff Software Developer - AI Products, you will regularly participate in team meetings (stand-ups, planning), lead technical decision-making processes, and work closely with our Product Managers, UX Designers, and QA, as well as Customer Experience team members who review live traces from AI applications. WHAT YOU’LL BE DOING As a Staff AI Developer, you will: - Design and build server-side services and APIs (FastAPI). - Design and build modular agentic workflows to augment the FME platform capabilities. - Stay up to speed with developments in AI and LLM tooling, and incorporate relevant ideas into our products. - Participate in every aspect of the development cycle, including shaping specifications with the product owner, developing clean and maintainable code, writing unit and integration tests, doing code reviews, and maintaining and improving existing code. - Collaborate, support, and share expertise with other team members. - Work closely with the product owner and design team to deliver a high quality and consistent user experience. - Maintain and continuously improve the building and delivery of our AI service to reduce query latency and improve assistant response quality. - Investigate, evaluate the impact, and resolve anomalies and bugs in live applications. - Participate in the team’s light on-call rotation to support live applications. QUALIFICATIONS, SKILLS, AND COMPETENCIES Safers come from a variety of backgrounds with a diversity in skills and knowledge. That said, we find that those who are most successful in this role have experience with the following areas. Background - Bachelor's degree in Computer Science or a related field, or equivalent experience. - Typically, at least 7 years of experience working on production backend systems. - A track record of leading technically ambiguous projects and raising the capability of the engineers around you. Technical skills - Project or work experience with agentic LLM-based applications, including techniques such as RAG, prompt and context engineering, and tool calling. - Demonstrated experience evaluating LLM systems: building eval sets, defining quality metrics, and tracing and debugging non-deterministic behaviour. - Depth in at least one modern backend language, and the ability to pick up others as the work demands. - Experience with a modern backend web framework such as FastAPI. How you Work - An empirical mindset — comfort designing and running experiments to reach a decision, rather than reasoning about which approach should be best. - Strong interest in the craft, a curious mind, and eagerness to learn new tools and technologies. - Able to explain technical tradeoffs clearly to teammates and stakeholders. - Excellent organizational skills, with the judgment to prioritize your own work efficiently. - Resourcefulness and the ability to work well in a team-based environment. DESIRED SKILLS / BONUS POINTS We don't expect any single candidate to have all of these. Evaluation and experimentation: - Familiarity with LLM evaluation libraries such as Ragas, DeepEval, openevals, promptfoo, Inspect, or TruLens. - Experience with LLM observability and tracing tooling such as LangSmith, Langfuse, Braintrust, or Arize Phoenix. - Statistical literacy: A/B testing, significance, and sample sizing for model and prompt comparisons. - A background in machine learning or data science, or experience collaborating closely with those who do. - Experience with the problem domain: FME, other ETL tools, spatial data processing, or data integration. Retrieval and infrastructure: - Working knowledge of embeddings, vector databases (e.g. pgvector), and chunking and retrieval strategy. - Experience with Docker and deploying applications on Kubernetes. - Experience working with services from a cloud provider, such as AWS, GCP, or Azure. - Understanding of common client and server side vulnerabilities (e.g. OWASP Top 10) as well as security vulnerabilities specific to LLM–based applications. WHAT YOU CAN EXPECT When you choose a career with Safe Software, you’re also choosing… - Meaningful Work: Make a profound impact across our business, workplace and data integration product. - A Supportive Environment: Feel empowered to share your ideas and implement them with high autonomy and team support. - Social Responsibility: Become part of a team that finds meaningful ways to give back https://www.safe.com/about/community-initiatives/. Take paid time off to volunteer for one of our Safe-organized opportunities that align with our core community initiatives. - Learning & Career Development: We believe in your continuous learning and growth. Take advantage of an annual learning budget and training programs paid for by Safe. - Flexible Working Hours: Flexible and remote-friendly work arrangements to fit your lifestyle. Work when you want, and how you want to. - Work-Life Balance: There's no place for burnout at Safe. Maintain a healthy balance of your personal and work life without splitting yourself in two. Enjoy 3 weeks of vacation to recharge, plus an additional paid 6 seasonal days off per year. - Health & Wellness: Extended health, dental, health or lifestyle spending, and counseling benefits from day 1. That’s right, no waiting period. - Family is important: We are dedicated to supporting our employees through parenthood and offer a Parental Leave Top-Up Program for new parents through childbirth or adoption. - Shared Success: Share in Safe’s success with our bi-annual profit sharing and RRSP/TFSA matching program. - An Accessible Commute: Regardless of your commute method, we’re located close to public transit, and provide complimentary parking and bike storage for our team! ABOUT SAFE SOFTWARE Safe Software transforms organizations with FME, the only All-Data Any-AI Enterprise Integration Platform connecting all your data, anywhere, at any velocity. With over 30 years of expertise and 25,000+ enterprise customers across 125+ countries, we simplify your data journey, wherever it leads. Founded in 1993, Safe is headquartered in Surrey, BC with over 300 team members and counting. We’re always looking for talented individuals with diverse backgrounds who are determined to learn and grow. Are you ready to join the team? OUR COMMITMENT TO DIVERSITY AND INCLUSION Safe Software is an equal opportunity employer and we truly believe that innovation and strength begin with diversity and inclusion. We welcome all candidates regardless of race, gender identity or expression, sexual orientation, age, ability, disability, national or ethnic origin, political belief, religion, or family status. Should you require accommodations during the recruitment process, please contact hr_dept@safe.com. NOTICE REGARDING USE OF AUTOMATED TOOLS IN HIRING At Safe Software, we use automated tools to help us process applications and identify qualified candidates. These tools may assist in screening resumes and summarizing interview content based on the information you provide. This helps our team review applications efficiently while ensuring every candidate is considered based on the requirements of the role. Please be assured that the final hiring decision is always made by a member of our team. For more information on how we protect your privacy, please see our policy https://www.safe.com/legal/#applicant-privacy-policy. If you have questions about this process, please contact us at hr_dept@safe.com.

Location: New York, NY (HQ); San Francisco, CA; Remote (US) Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT PRODUCTION ENGINEERING Production Engineering is Ramp's infrastructure ownership layer. We exist to make Ramp faster, more reliable, and more scalable — and we do that by being embedded in the problems, not adjacent to them. A few things that define how we operate: - One team, one company, one objective. There is no "infra team" and "product team" — there is Ramp. We share the company's goals as our own. When a product team struggles with reliability or scalability, that is our struggle. - If reliability or scalability is at risk, we own it. We don't wait to be invited, and we don't ask whose code it is. If a system is slow, if it breaks, if it won't scale — that's ours to lead, regardless of where it lives in the stack. - We go first, and we go fast. When the path isn't obvious, we don't wait for someone else to find it. We move with urgency, propose the solution, align the stakeholders, and stay in until it's done — not until our ticket is closed. - We lead the way. We find the next problem before it finds us. And when we solve it, we don't just fix it for ourselves — the patterns and standards we establish become the foundation the rest of Ramp builds on. That's not a side effect of the job; it's the job. - We stay calibrated. Speed means nothing if we're moving in the wrong direction. We regularly stop and ask honestly whether what we're working on is still the highest-leverage thing we could be doing — the discipline that makes sure our effort compounds toward what actually matters. You cannot build the future of finance on shaky infrastructure. OUR TEAMS Production Engineering is organized into teams — but we think about teams differently. Teams are mutable. We build them around what needs to be done, not around what we need to do given the teams we already have. The structure below reflects our current priorities; it will evolve as Ramp does. Right now, we operate across four areas: - Compute — the foundation everything runs on: container orchestration, networking, load balancing, edge infrastructure, and the deployment systems that get code from engineers' laptops to production reliably and at scale - Storage — databases, caching, object storage, and the data infrastructure that underpins everything - Workflows & Messaging — the systems that power Ramp's financial workflows and event-driven architecture - Developer Infrastructure — the platform that makes every builder at Ramp faster and more autonomous: observability, cost attribution, and CI/CD systems that give teams visibility into what they build and what it costs WHAT YOU'LL DO Production Engineers at Ramp are full software engineers who happen to specialize in infrastructure. You write production code, you own systems end-to-end, and you drive technical outcomes across the organization — not just within your team. As a Tech Lead & Manager, you are a hands-on player-coach: you will lead and grow a team while remaining directly engaged in the technical work. Management at Ramp does not mean stepping away from the technology or the code. You will help set direction, develop engineers, and work alongside the team to deliver consequential infrastructure outcomes. Day to day, you will: - Build, coach, and grow a high-performing team. Create clarity, give direct feedback, mentor engineers, and help each person expand their technical judgment, ownership, and leadership. - Set technical direction for your team’s domain. Identify the highest-leverage problems, define a path forward, bring the right people along, and stay engaged with the team until the work is delivered. - Build and operate critical infrastructure across Ramp's compute, storage, messaging, and observability stack — owning the systems that handle real financial transactions at scale. - Drive architectural change — not just flag problems. When you surface a reliability or scalability issue, you own the path forward: you propose the solution, find the owners across engineering, and stay in until it's resolved. - Partner with product teams at the design phase — reviewing architectures, embedding golden paths, and making it easy to build correctly the first time. - Build Ramp's next level of scale — you'll be a hands-on contributor to the most consequential infrastructure shift happening right now: our move to a cellular architecture, enabling Ramp to scale, reach international markets, operate in highly regulated and constrained environments (e.g. FedRAMP), and deliver on enterprise-grade SLAs. - Enable AI-native engineering — as Ramp builds increasingly AI-powered products, PE is the team that makes sure the platform can support them. You'll proactively partner with product teams on AI infrastructure patterns, define the golden paths that turn one-off solutions into reusable foundations, and stay ahead of emerging challenges before they become blockers. - Build developer tooling and self-service infrastructure — so that other teams can answer their own questions (cost, performance, reliability) without involving PE. - Participate in on-call rotation — and more importantly, use every incident as a signal to eliminate the root cause, not just resolve the symptom. - Lead across the company — PE doesn't just review designs or show up when called. We proactively initiate cross-team architectural reviews, and we take full ownership of company-wide reliability and scalability initiatives: identifying the problem, proposing the solution, aligning the stakeholders, and staying in until it's done. WHAT WE LOOK FOR We don't hire for a checklist. We hire for the instincts that make someone exceptional on this team. The mindset we're looking for: - You love building teams, mentoring engineers, and helping people grow—and you are equally energized by writing code, reviewing designs, and digging into complex distributed systems. - You are a true player-coach. You know when to coach, delegate, and create space for others to lead; you also know when your direct technical involvement will create the most leverage. - You can set a technical direction, bring people along, and then lock in with the team to make it happen. - You do not believe managing engineers means stepping away from the technology or the code. - You can't walk past something broken without wanting to fix it — and you don't stop at the workaround. You find the root cause and eliminate the class of problem. - You think in systems, not tasks. You understand that "fixing the bug" is step one; making it so the bug can't happen again is the job. - You move with urgency but without chaos. You know when to go fast and when to slow down and do it right. - You treat product teams as your users. You build for them, communicate with them proactively, and measure success by how much faster they can ship. But you're also an owner — when something is broken or blocking, you don't wait to be asked. We win when our customers win. - You leave things better than you found them. Every system you touch, every process you encounter — you move it forward. Not always dramatically, but always directionally. You picked it up in a certain state; you leave it in a better one. - You are equally comfortable reading a database query plan, reviewing a system design doc, writing a Terraform module, and jumping into an incident at 2am. Experience profile: - 8+ years of software engineering experience, including a track record of shipping high-quality architectures for critical systems. - Staff+-level technical leadership: experience setting technical direction and leading complex, multi-quarter technical initiatives from ambiguous problems through durable production outcomes. - Experience managing, mentoring, and developing engineers. You create clarity, give direct feedback, and help people grow in technical judgment, scope, and leadership. - A sustained hands-on engineering track record. You are comfortable writing and reviewing production code, evaluating system designs, debugging incidents, and making difficult technical tradeoffs. - Hands-on experience building and operating distributed systems at production scale. - Strong software engineering fundamentals — you write clean, well-tested, production-ready code and set that standard for the team. - Experience with at least one major cloud provider (AWS preferred). - Familiarity with observability and reliability practices, including SLOs, error budgets, alerting, dashboards, and incident response. - Track record of delivering through cross-functional coordination: aligning stakeholders, unblocking teams, and staying accountable for the outcome. - Comfortable using AI tooling and coding agents as part of your everyday engineering workflow — and helping a team use them to move faster and think bigger. Bonus (not required): - Experience with cellular or multi-tenant architecture patterns - Prior work on workflow orchestration systems (Temporal) - Contributions to developer experience or internal platform tooling - Experience in fintech, payments, or regulated industries (FedRAMP, SOC 2) BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: Ireland; London, England, United Kingdom About the Job: We are looking for a talented Senior Solutions Engineer at LaunchDarkly,  you will be a trusted technical advisor to our largest and most important Enterprise prospects and customers. This role is a critical part of the Enterprise sales strategy at LaunchDarkly, serving as a trusted technical advisor to sales working to both land new customers and expand existing customers. The ideal candidate will have deep expertise in supporting multiple verticals. An ideal candidate is curious, excels in active listening, quickly and effectively builds custom demos and solutions, and demonstrates profound technical expertise with a customer-centric focus. Responsibilities: Drive technical discovery, architecture design, and PoC implementation throughout the pre-sales lifecycle. Partner with Account Executives and Customer Success Managers to craft compelling technical value propositions. Deliver high-impact demonstrations, workshops, and proposals tailored to C-level and technical stakeholders. Cultivate trust and credibility with customers, identifying technical champions and positioning as a strategic advisor. Liaise between customers and internal Product and Engineering teams to relay feedback and influence product roadmap. Lead cross-regional technical initiatives and enhance SE tools, processes, and frameworks for global scalability. Mentor junior team members, foster technical excellence, and share industry best practices across the SE team. Maintain expert-level knowledge of LaunchDarkly’s platform, integrations, industry trends, and emerging technologies. Respond to RFPs, and manage technical environments to support enterprise sales motions. Translate complex client requirements into scalable, sustainable, and technically sound solutions. Represent LaunchDarkly at industry events and customer engagements through travel as needed. Qualifications: 8+ years of experience in a solutions engineering, sales engineering, or systems architecture customer-facing role. Experience in areas such as the SDLC, cloud architecture, or DevOps. Extensive knowledge of cloud platforms, expertise in at least one (e.g., AWS, Azure  & Google Cloud). Demonstrated excellence in leading & documenting a proof of concept and building technical & deal champions. Excellent communication and presentation skills. Demonstrated history of presenting thought leadership to the broader industry. Bachelor’s degree in Computer Science, Engineering, Information Technology, or related field (or equivalent experience). Experience with security and compliance frameworks PII, PCI, HIPAA, is a bonus Travel & On-Site Engagement: Up to 35% travel, primarily across EMEA, for customer workshops, deal closings, and industry events About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: Improving the velocity and stability of software releases, without the fear of end customer outages Delivering targeted experiences by easily personalizing features to customer cohorts Maximizing the business impact of every feature through the ability to experiment and optimize Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. Do you need a disability accommodation? Fill out this accommodations request form and someone from our People Operations team will contact you for assistance. Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @ launchdarkly.com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains.  Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit Careers | LaunchDarkly directly for confirmed job openings and links to apply. Please notify us of any fraudulent representation by sending an email to careers@launchdarkly.com .

Location: Remote US At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. We’re evolving our marketplace by building Affirm's first fully-featured ads platform to make a best in class shopping destination for our merchants and customers. We know that by pairing consumer insights, segmentation and personalization with our vast network of merchants, we can achieve that goal. The Marketplace Performance team owns the foundation of several key monetization artifacts that drive GMV for the company. We work cross-functionally to achieve these goals by closely partnering with our Revenue, TAM, CSM and Merchant partners. This team plays a large role in making Affirm marketplace the destination consumers trust and turn to for discovery, comprehension and shopping. What You'll Do · You will be responsible for setting technical strategy for your team on a year-long time scale, and help your team tie it together with critical, business-impacting projects. · You will collaborate across teams in the product development lifecycle by collaborating with product management, design & analytics to ensure technical sustainability, risks and trade-offs are well understood and managed. · You will act as a force-multiplier for your team through your definition and advocacy of technical solutions and operational processes. · You take ownership of your team’s operations and availability by ensuring you have the right monitoring, triage rotations, playbooks, policies, testing and alerting in place to support “keep the lights on” & on-call efforts. · You will foster a culture of quality and ownership on your team by setting code review and design standards for your team, and advocating for them beyond your team through your writing and tech talks. · You will help develop talent on your team by providing feedback and guidance, and leading by example. What We Look For · You have 8+ years of experience designing, developing and launching backend systems at scale using languages like Python or Kotlin. · You have an extensive track record of developing highly available distributed systems using technologies like AWS, MySQL, Spark and Kubernetes. · You have experience developing consumer experiences using UI frameworks like React · You have 2+ years of experience working in Ad Tech or related platforms. · You have experience delivering major features, system components or deprecating existing functionality in a system through the definition of a technical and execution plan. You write high quality code that is easily understood and used by others. · You thrive in ambiguity, and are comfortable moving from low level language idioms all the way to the architecture of large systems to understand how they work. · Your growth and impact trajectory demonstrates that you have mastered gathering and iterating on feedback from your engineering and cross-functional peers. · You have strong verbal and written communication skills that support effective collaboration with our global engineering team. · This position requires either equivalent practical experience or a Bachelor’s degree in a related field. Pay Grade - P Equity Grade - 13 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.) USA base pay range (CA, WA, NY, NJ, CT) per year: $230,000 - $290,000 USA base pay range (all other U.S. states) per year: $204,000 - $264,000 #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Location: San Francisco, CA | 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 The Cloud Inference team scales and optimizes Claude to serve the massive audiences of developers and enterprise companies across AWS, GCP, Azure, and future cloud service providers (CSPs). We own the end-to-end product of Claude on each cloud platform, from API integration and intelligent request routing to inference execution, capacity management, and day-to-day operations. Our engineers are extremely high leverage: we simultaneously drive multiple major revenue streams while optimizing one of Anthropic's most precious resources: compute. As we expand to more cloud platforms, the complexity of managing inference efficiently across providers with different hardware, networking stacks, and operational models grows significantly. We need product-minded backend engineers who can navigate these platform differences, design the services and abstractions that work across providers, and make architectural decisions that keep us reliable and cost-effective at massive scale. Your work will increase the scale at which our services operate, accelerate our ability to reliably launch new frontier models and innovative features to customers across all platforms, and ensure our LLMs meet rigorous safety, performance, and security standards. Key responsibilities Design, build, and own backend services and infrastructure that serve Claude across multiple CSPs, accounting for differences in compute hardware, networking, APIs, and operational models Work cross-functionally with internal inference, product API, systems, and security teams, among others, and with CSP partners to stand up the full serving stack on new cloud platforms, resolve operational issues, and influence provider roadmaps Build and evolve CI/CD automation systems, including validation and deployment pipelines, that reliably ship new model versions to millions of users across cloud platforms without regressions Design interfaces and tooling abstractions across CSPs that enable cost-effective inference management, scale across providers, and reduce per-platform complexity Contribute to capacity planning, autoscaling, and workload routing strategies that match supply with demand and direct requests to the most cost-effective accelerator and region Analyze observability data across providers to identify performance bottlenecks, cost anomalies, and regressions, and drive remediation based on real-world production workloads Minimum qualifications Have significant software engineering experience, with a strong background in high-performance, large-scale distributed systems serving millions of users Have experience building or operating services on at least one major cloud platform (AWS, GCP, or Azure), with exposure to Kubernetes, Infrastructure as Code, or container orchestration Are curious about LLM serving; prior inference or ML experience is not required Thrive in cross-functional collaboration with both internal teams and external partners Have experience working with external partners to align goals and deliver impact Are a fast learner who can quickly ramp up on new technologies, hardware platforms, and provider ecosystems Are highly autonomous and take ownership of problems end-to-end, including work that falls outside your job description Preferred qualifications Direct experience working with CSPs to scale infrastructure or products across multiple platforms, navigating differences in networking, security, privacy, billing, and managed service offerings Hands-on experience with capacity management, cost optimization, or resource planning at scale across heterogeneous environments Solid understanding of multi-region deployments, geographic routing, and global traffic management Proficiency in Python or Rust The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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.