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Location: Reykjavík The Development Infrastructure team builds the tooling and systems our Asana engineers use every day to bring their ideas to production quickly and reliably. We build and operate the software that drives Asana’s roadmap. Each day, we combine industry best practices and innovation to support this product-focused company. We’re looking for a Software Engineer with a passion for developer infrastructure. You will work with a world-class team of engineers on deploying and operating existing developer tooling, and building new tools to support our global, growing development team. You will have a unique opportunity to design and develop the systems and applications that drive the Asana development experience, lead complex technical projects, and work on cross-functional initiatives to help define the future of software engineering at Asana. This role is based in our Reykjavík office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve Innovate the architecture of our development sandboxes to accelerate development iteration. Modernize our build system, tighten iteration loops, and polish frequent cycles in the developer experience. Lead complex developer infrastructure projects from technical design through implementation, rollout, and operation. Partner with engineering teams to identify opportunities to enable teams to develop faster at Asana and help the company achieve our goals faster. Analyze complex developer infrastructure systems to uncover issues, root causes, and areas for improvement. Keep Asana up to date on open-source trends and identify new opportunities for improved development infrastructure. Champion code quality and solid engineering practices, setting a standard through example, technical guidance, and infrastructure that promotes best practices. Write clean, maintainable code, striving to leave systems in a better state than you found them. Collaborate with a world-class engineering team to build reliable and intuitive infrastructure for developers across Asana. About you 2+ years of software engineering experience, ideally backend- or infrastructure-focused, working in large, well-maintained codebases and shipping production systems. Familiarity with build tooling and automated testing, with an interest in distributed systems. Ability to learn quickly and transition seamlessly between different areas of a complex codebase and infrastructure stack. Excellent communication skills for collaborating with other teams and driving alignment across technical stakeholders. Sound autonomous judgment when balancing moving quickly with eliminating risks and building reliable, scalable, performant, and long-term maintainable systems. Experience designing, building, or operating infrastructure on AWS or another major cloud platform is a plus. Excited to be part of an inclusive culture where everyone brings their whole selves to work. Demonstrated curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making. At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply. What we’ll offer For this role, the estimated monthly base salary range is between 1 000 000 ISK - 1 200 000 ISK. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified. In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role. We strive to provide equitable and competitive benefits packages that support our employees worldwide and include: Mental health, wellness & fitness benefits Career coaching & support Inclusive family building benefits Long-term savings or retirement plans In-office culinary options to cater to your dietary preferences These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role. #LI-Hybrid #LI-AZ About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law. Join Asana’s Talent Network to stay up to date on job opportunities and life at Asana.

Location: United Kingdom; Ireland; Poland Workplace: Remote As an Engineering Manager on Coder’s Agentic Engineering team, you’ll lead engineers building and evolving the systems behind our agentic development experience. You’ll help make agents more capable, reliable, and useful across real development environments. You’ll guide technical direction, grow the team, and keep execution sharp. You’ll work closely with Engineering, Product, and Design across the agent harness, integrations, and developer workflows. WHAT YOU’LL DO HERE - Lead and grow a team within our Agentic Engineering organization. - Set technical direction across the agent harness, integrations, and workflows. - Stay close to the code and contribute to architecture and implementation decisions. - Evolve agent execution, tool use, context management, streaming, and long-running workflows. - Extend our provider-agnostic architecture as models and capabilities change. - Partner with Product and Design to turn agent capabilities into useful developer experiences. - Improve reliability, performance, and operability across agentic systems. - Coach engineers, raise the technical bar, and create clarity around priorities and tradeoffs. WHAT WE’RE LOOKING FOR - Experience managing and growing software engineering teams. - Strong hands-on engineering experience with Go. - Experience with React and TypeScript. - Hands-on experience building systems around LLMs and agentic workflows. - Experience with model APIs, tool calling, context management, or agent loops. - Strong distributed systems knowledge. - Working knowledge of AWS. - Strong technical judgment and comfort working through ambiguity. - A track record of helping engineers grow while maintaining a high execution bar. OUR TECH STACK - Backend: Go, Postgres - Frontend: TypeScript, React - Infrastructure: AWS, Kubernetes - Observability: Prometheus, Grafana - CI/CD: GitHub Actions BONUS TACOS IF YOU HAVE - (Tacos? If you need an ice-breaker, ask how we say thanks by giving tacos!) - Experience building coding agents, developer tools, or cloud development environments. - Experience with MCP, agent tools, or multi-agent systems. - Experience with remote execution, sandboxing, or isolated compute. - Experience building abstractions across multiple model providers. - Deep experience with AWS, Kubernetes, Docker, or Linux. - Open-source contributions or experience working directly with customers. Coder’s agentic architecture is provider-agnostic. The foundation is built; this team is focused on making it more capable, reliable, and extensible as the space evolves. ABOUT CODER Coder is the leading platform for AI development Infrastructure, enabling enterprises to securely run human and AI-driven development workflows in consistent, governed environments. Coder provides self-hosted, agent-ready workspaces that unify developer productivity and platform governance. With Coder, enterprises can confidently evolve from human-only development to AI-assisted and autonomous workflows, without sacrificing security, compliance, or performance. Learn more at coder.com http://coder.com. INTERVIEW PROCESS  We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders. AI USE DURING THE INTERVIEW PROCESS As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process. Not permitted: Using AI assistance during conversational interviews. Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly. OUR USE OF AI IN HIRING We use AI tools to help manage our recruitment process efficiently and fairly. Specifically: - Ashby and Brainerr help us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions; it helps our team prioritize which applications to review first. - Granola takes notes during our interview calls so our team can focus on the conversation with you. All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models. In accordance with New York City Local Law 144, an independent bias audit has been conducted on "Automated Employment Decision Tools"; results are available for Ashby https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf. If you're applying for a role at Coder and have questions about how we use AI in our process, or if you'd like to request information about the data we collect, please contact careers@coder.com.   CODER IS A PROUD EQUAL OPPORTUNITY EMPLOYER We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.

Location: Espoo; Berlin Workplace: Hybrid ROLE HIGHLIGHTS: - Senior/Staff Platform Observability Engineer - Location: Espoo, Finland / Berlin, Germany - Department: Platform & Release Engineering - Employment type: Permanent - Workplace model: Hybrid - Employment is subject to applicable security screening (incl. SUPO,) WHY THIS ROLE MATTERS: As a Platform Observability Engineer, you’ll make the health of ICEYE’s systems visible, actionable, and reliable. You’ll build and evolve the observability foundation across metrics, logs, and traces, helping teams detect issues early, understand failures faster, and operate their services with confidence. Your work will go beyond dashboards and alerts. You’ll reduce operational noise, eliminate blind spots, and give product teams the tools and autonomy to run reliable services. WHO WE ARE ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth. ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system. ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future. Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific. YOUR DAY-TO-DAY RESPONSIBILITIES - Own and continuously improve a unified, production-grade observability stack covering metrics, logs, and traces, giving every team a consistent, self-service way to understand and operate the health of their services. - Build and maintain trusted alerting by tuning alerts against clear SLOs/SLIs, reducing noise, improving ownership and ensuring real issues surface early. - Define, document, and drive adoption of instrumentation standards covering metric naming, label cardinality, structured logging, and distributed tracing with OpenTelemetry. - Enable product teams to diagnose and resolve incidents faster through well-designed dashboards, runbooks, hands-on support, and practical observability guidance. - Run the observability platform like a product, owning its roadmap, interfaces, reliability, scalability, and cost across areas such as retention, sampling, and cardinality. - Provide clear technical direction for observability across the engineering organisation, making pragmatic architectural trade-offs and helping teams adopt platform capabilities effectively. WHAT WE’RE LOOKING FOR Must haves: 1. Observability platform ownership at scale 6+ years in Platform Engineering, Observability, or infrastructure roles, with end-to-end ownership of a production observability stack (for example the LGTM stack - Loki, Grafana, Tempo, Mimir/Prometheus - or an equivalent metrics/logs/traces platform) at scale. - Instrumentation & telemetry: OpenTelemetry adoption, metric and label design, structured logging, and distributed tracing across complex, multi-team systems. - SLO/SLI & error budgets: dashboards and alerting that surface real problems early while minimizing noise and false positives. - Platform as a product: treating other engineering teams as customers, with clear interfaces and a roadmap shaped by their needs. - Alerting & reliability attitude: comfortable with on-call, driving blameless learning from incidents, and continuously tuning signal quality instead of letting alert fatigue set in. 2. Software engineering foundation - A background that includes time spent writing and shipping production software, bringing engineering instincts to building tooling and automation rather than only operating what already exists. - Proficiency in at least one backend language (for example Python or Go) for automation, tooling, and building internal observability capabilities. 3. Long-term ownership of your own decisions Demonstrated experience owning the long-term consequences of your own architectural and tooling decisions - having lived with what you built through its maintenance, upgrades, and failure modes, not just its initial rollout. 4. Communication Excellent written and verbal communication skills in English, able to explain complex system behavior clearly to both engineers and non-technical stakeholders. Nice to haves: 1. Platform & telemetry breadth - Rancher, Istio, and Kubernetes-native observability patterns (service mesh telemetry, sidecars, eBPF-based tooling). - Bridging hybrid environments across AWS and on-prem platforms such as vSphere/VxRail. - Managing cost and cardinality on large-scale telemetry pipelines (retention policies, sampling, downsampling). 2. Practices that spread beyond your own team - Defining SLO/SLI frameworks or observability standards adopted across multiple teams. - Running or contributing to incident response and blameless postmortem processes. - Mentoring engineers and raising engineering maturity through technical leadership and enablement. 3. Domain context Background in regulated, security-sensitive, or mission-critical domains. APPLICATION PROCESS - Recruiter interview - Hiring manager interview - Task Assignment + Technical interview - Stakeholder interview - Behavioural interview to assess cultural fit WORKING AT ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. HOW WE WORK (OUR VALUES) Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. BENEFITS Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help. Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.

Location: Ireland, Dublin 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. Why Join Us? PlayStation isn’t just the Best Place to Play — it’s also the Best Place to Work. Today, we’re recognized as a global leader in entertainment producing The PlayStation family of products and services including PlayStation®5, PlayStation®4, PlayStation®VR, PlayStation®Plus, acclaimed PlayStation software titles from PlayStation Studios, and more. PlayStation also strives to create an inclusive environment that empowers employees and embraces diversity. We welcome and encourage everyone who has a passion and curiosity for innovation, technology, and play to explore our open positions and join our growing global team. The PlayStation brand falls under Sony Interactive Entertainment, a wholly owned subsidiary of Sony Group Corporation The role We are looking for a Software Engineer to join the Kit Manager team, working on the design and development of a scalable private cloud solution for managing PlayStation Development Kits along with the provision of associated APIs and services as part of the PlayStation® SDK. What you’ll be doing Own the end-to-end delivery of features, from requirements analysis and design through implementation and validation Investigate, debug, and resolve issues in existing code and newly developed featuresParticipate in requirements gathering and architectural discussions, collaborating with cross-functional teams in an agile environment Participate in code reviews and contribute to maintaining high engineering standards Attend periodic in-person workshops and team events, with occasional travel as required What we’re looking for You should bring some of the following skills and experience: Commercial or open-source experience developing software in Rust, with the ability to design, implement, and maintain production-quality code, and a strong understanding of Rust fundamentals including ownership, borrowing, lifetimes, traits, generics, error handling, and asynchronous programming with Tokio Excellent problem-solving and analytical skills A passion for building intuitive products with a strong focus on user experience and developer workflows Strong commercial experience developing software in modern C++ A solid understanding of concurrency, multithreaded programming, and modern software design principles Experience writing automated tests and applying modern software testing practices Proficiency with Git or other distributed version control systems Desirable skills and experience Experience developing cross-platform applications for Windows, Linux, and macOS Experience with PostgreSQL or other relational databases Experience building APIs using gRPC and/or REST Experience deploying and managing applications using Kubernetes and/or AWS Proficiency with Docker, Podman or other container technologies Experience developing user interfaces with React Qualifications BSc /MSc in Computer Science or equivalent experience At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. €69.500 — €104.300 EUR 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: Warszawa, Poland; Rīga, Latvia; Tallinn, Estonia; Vilnius, Lithuania Workplace: fully Join an International Banking Project as a Senior Data Engineer. Project/Client: Banking Location: Baltic States and Poland Citizen (remote) Start Date: ASAP Duration: 12 months Language: English Role Overview: We are looking for an experienced Senior Data Engineer to join a cross-functional Agile team within the banking domain. The role focuses on designing and improving end-to-end data solutions across AWS cloud and on-premises ( Oracle DB ) environments, working with Airflow , dbt , and SAP Data Services , and contributing to Data Mesh and Medallion architecture implementations. Key Responsibilities: Design, implement, and improve data ingestion, processing, storage, and sharing within a Data Mesh platform across AWS cloud and legacy DWH environments Build and optimize ETL/ELT pipelines and data architectures using Airflow , dbt , and SAP Data Services Support modernization and migration of legacy data systems toward cloud-native architecture Ensure high standards of data quality, security, and performance across all data workflows Collaborate with analysts, engineers, and business stakeholders to deliver scalable data solutions Perform code reviews, implement monitoring and alerting, and resolve data pipeline defects Participate in the EOD ROTA rotation, with availability for incident resolution until 23:00-24:00 Must-Have Requirements: Proven hands-on experience with SQL and Python Hands-on experience with cloud platforms - AWS , Azure , or GCP Good understanding of data pipeline tools such as Airflow or dbt Working knowledge of enterprise data platforms: Oracle DB , SAP IQ , SAP Data Services , and SAP Business Objects Knowledge of solution integrations - real-time, message-based, and event-driven architectures - including bridging legacy systems with modern data platforms Exposure to test automation and DevOps practices, including infrastructure as code, security best practices, CI/CD , and SDLC Experience with Data Products deliveries, Medallion architecture , and Data Mesh architecture Strong communication and collaboration skills Nice to Have: Experience within the banking / customer business domain Experience with container orchestration tools: Kubernetes , Docker Understanding of streaming data pipelines and platforms: Kafka , Spark , Flink Experience with reporting tools such as Power BI Experience with both SQL and NoSQL databases Java development experience 💼 What we offer Model: B2B contract with Bonapolia- one contract, one monthly invoice Rate: negotiated per candidate seniority and client budget Payment: monthly invoice, paid on the same schedule the client pays us (usually 30 days) Contract written under your country's law We handle the client-side paperwork: MSA, NDA, invoicing 🏢 About Bonapolia Bonapolia is a family-owned IT staff augmentation team based in Lisbon. We build engineering teams for product companies and IT consultancies across Europe and the US. More at bonapolia.com 📩 Ready to Join? We look forward to receiving your application and welcoming you to our team!

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 : Hybrid Architecture Design: Architect and deploy scalable HPC clusters using on-prem and/or cloud-native HPC cluster managers ( e.g., AWS ParallelCluster + Amazon EC2 / Azure CycleCloud + Azure VM Scale Sets / Google Cloud Cluster Toolkit or similar + Compute Engine) , ensuring seamless integration with on-premises schedulers. Proven expertise with HPC schedulers and orchestration patterns (e.g. Slurm, cloud HPC cluster orchestration, batch orchestration) Design and optimize data architectures for large-scale HPC workloads, including high-throughput data movement between on-premises and cloud environments and integration with parallel file systems. Ensure data access, lifecycle, and reproducibility patterns to support scientific computing performance and operational requirements Design and implement high-performance networking solutions, including private dedicated connectivity and low-latency HPC interconnects (e.g., AWS Direct Connect / Azure ExpressRoute / Google Cloud Interconnect; AWS EFA / Azure HPC fabrics e.g. IB/ GCP HPC interconnect options etc.) , to support low-latency MPI applications. Design high I/O workloads ( parallel file system patterns ) (e.g., AWS / GCP / Azure Managed Lustre or parallel FS deployments and/or self-managed Lustre/GPFS/BeeGFS) , observability, reproducibility and operational excellence Define and maintain containerization standards using contanerization and related technologies to ensure binary compatibility across heterogeneous hardware and environments What we expect : Knowledge of HPC-with-cloud integration strategies, experience with technical feasibility planning Excellent communication skills Strong understanding of regulated enterprise R&D environments Understanding scientific computing reproducibility requirements, relying on enterprise standard tooling Deep understanding of Amazon VPC /Google Cloud / Azure networking, peering and security group configurations Nice to have : Experience in life-sciences Experience in specific applications in life-sciences, Jupyter, Matlab Network Engineering 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

Задачи: — Взять на себя ответственность за полный жизненный цикл разработки программного обеспечения от требований до развертывания. — Сотрудничать с бизнес-стейкхолдерами и участвовать в планировании спринтов. — Разрабатывать и поддерживать высокопроизводительные, масштабируемые и отказоустойчивые веб-сервисы. — Создавать и поддерживать техническую документацию по дизайну, архитектуре и устранению неполадок. — Постоянно изучать и внедрять новые технологии и подходы. Требования: — Опыт работы с Java в продакшене не менее 5 лет. — Уверенные практические навыки работы с Java и Spring Framework (Spring Boot, Spring Data). — Подтвержденный опыт работы с микросервисной архитектурой. — Владение MySQL, включая проектирование схем и оптимизацию запросов. — Опыт работы с CI/CD инструментами, такими как GitHub Actions, Jenkins, ArgoCD и Maven. — Уровень английского языка не ниже B2. Будет плюсом: — Опыт работы с Google Cloud Platform (GCP). — Опыт работы с MongoDB. — Опыт работы с инструментами инфраструктуры как кода, такими как CDKTF или AWS CDK. Условия: — Удаленная работа в качестве B2B подрядчика или гибридная занятость в офисах в Беларуси и Молдове. — Предоставление качественного оборудования. — Компенсация профессионального обучения, семинаров и конференций. — Уроки английского языка высокого уровня. — Дополнительные бонусы и льготы для сотрудников офисов в Минске и Кишиневе.

Location: United States; Canada Workplace: Remote Veda builds vault infrastructure for DeFi at scale. We manage billions total value locked across 15+ blockchain networks, powering yield strategies for partners including Kraken, Etherfi, and Plasma. Our protocol turns complex multi-chain DeFi positions into simple vault interfaces that institutional and retail users can actually trust. We’re hiring a Senior Backend Engineer to be a key design partner in our next-generation platform infrastructure. You’ll own the systems architecture that sits behind billions in assets, event indexing, data pipelines, risk engines, multi-chain orchestration, the infrastructure that has to be right because real money depends on it. You won’t be handed a spec. You’ll look at what we have, understand where we’re going, and figure out what needs to be built, rebuilt, or thrown away. Then you’ll build it. THE ROLE You’ll work with the team to evolve our production infrastructure from its current state into a platform that can scale with our growth. This means: - Designing and building the services that power our vault infrastructure, event indexing across 15+ chains, data platforms for risk calculation engines, real-time position tracking, and the orchestration layer that ties it all together. - Owning the cloud architecture end to end. We run on AWS. You’ll make decisions about how our services are deployed, how they scale, how they fail gracefully, and how we maintain them without hero culture. - Building data pipelines that are fast, correct, and auditable. Our vaults execute complex DeFi strategies across multiple protocols, Aave, Morpho, Uniswap, and more. The data infrastructure needs to keep pace with on-chain state across every network we operate on. - Making our systems observable and operable. Monitoring, alerting, runbooks, oncall-friendly architecture. You’ll help us move from “one person knows how this works” to “anyone on the team can diagnose this at 3am.” - Working across the boundary between on-chain and off-chain. Vault state lives on-chain. Risk calculations, indexing, caching, and API serving happen off-chain. You’ll design where that boundary sits and how data flows across it. - Communicating clearly about technical decisions. Writing design docs that the team can actually follow. Explaining tradeoffs to non-engineers. Turning ambiguity into shared understanding. This matters as much as the code. YOU HAVE - Deep cloud architecture chops. Significant experience with AWS in production at scale. - You’ve designed and operated systems where uptime matters, not “we should have five nines” slide decks, but actual production systems handling real load with real consequences when they break. - Strong systems engineering fundamentals. You’ve built event-driven architectures, data pipelines, caching layers, and API services that handle high throughput. You know the difference between a system that works in a demo and one that works during a bull market. - IaC fluency. Terraform, CI/CD, containerization, Infrastructure as Code. You believe infrastructure should be reproducible, version-controlled, and reviewable. - Excellent communication skills. You can write clear design documents, explain architectural decisions to teammates with different backgrounds, and have productive disagreements about technical direction. You make the people around you better by making complex things understandable. - You’ve seen production at scale. You’ve lived through systems that scaled past their original design. You know what breaks first, what compromises are temporary, and what shortcuts become permanent regret. - Strong opinions, loosely held. You’ve formed strong views through experience and you’re willing to defend them, but you change your mind when presented with better information. You care about getting it right, not about being right. EVEN BETTER IF - You have experience with blockchain data, indexing events, tracking on-chain state, dealing with reorgs, multi-chain consistency. Not required, but it’ll shorten your ramp significantly. - You’ve worked in DeFi or crypto infrastructure. You understand what a vault is, how yield strategies compose, and why TVL matters. - You have experience with Rust or Python in data-intensive contexts, we have systems in both. - You’ve built or operated multi-tenant platforms where different clients share infrastructure with isolation guarantees. WHAT YOU’LL WALK INTO We’re a 35-person team that’s raised $18M at Series A. The infrastructure works, it’s running in production handling billions in TVL, but it was built for the company we were, not the company we’re becoming. We’re transitioning from founder-dependent operations to scalable engineering practices. You’ll be a key part of making that real. Current stack includes AWS, Python, Rust, microservices architecture, and smart contracts across 15+ EVM and non-EVM chains. We’re actively investing in Infrastructure as Code, containerization, CI/CD, and proper oncall rotations. COMPENSATION Competitive base salary plus equity. We’re a Series A company heading toward Series B — early enough that your equity is meaningful, late enough that the business is real. We’re not building a prototype. We’re running production infrastructure that manages billions of dollars across dozens of blockchain networks for some of the biggest names in crypto. We need someone who knows how to make that kind of system reliable, scalable, and operable — and who can bring the rest of the team along while doing it.

Location: Redwood City, CA, United States WHAT IS BOX? Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia. By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift. WHY BOX NEEDS YOU Box’s Edge team powers the connectivity behind our products, including Box Zones and applications hosted across our environment. We’re evolving from a ticket-driven support model to building automated, self-serve network capabilities that application and service owners can consume reliably at scale. We’re looking for a Software Engineer III to design and build backend services and automation that turn complex network functionality into simple, safe, and repeatable workflows. In this role, you’ll deliver high-impact systems using Python and Terraform, grounded in strong networking fundamentals. You’ll partner with internal customers to transform recurring requests into robust products, improving delivery speed, reliability, and developer experience across Box. WHAT YOU'LL DO Design and implement backend services and tooling in Python that make network capabilities accessible for internal application and service owners. Build and maintain Infrastructure as Code with Terraform to provision, configure, and manage network resources reliably. Translate partner needs into automated workflows that replace manual, ticket-based processes and scale across teams. Participate in design reviews, question assumptions thoughtfully, and contribute to decisions that improve reliability, security, and usability. Integrate observability and guardrails to support safe, auditable, and measurable network changes. Collaborate with cross-functional teams (application owners, reliability, platform) to define requirements and deliver end-to-end solutions. Write tests, documentation, and runbooks to support operational excellence and maintainability. Contribute to roadmap planning and continuous improvement of network automation patterns and standards. Participate in our on-call rotation, available at all times while on-call to help respond to and triage any issues that arise. WHO YOU ARE We are an AI-first company. This means you approach your work with a growth mindset and find ways to leverage AI to help make faster, smarter decisions that will 10X your impact at Box. 3+ years of professional software engineering experience with a strong backend focus. Proficient in Python with a track record of building production-grade services or automation. Hands-on with Infrastructure as Code, especially Terraform, including module design, reviews, and CI/CD integration. Strong understanding of networking fundamentals (e.g., TCP/IP, routing vs. switching concepts, DNS, load balancing, security groups/firewalls). Product mindset: you distill complex systems into safe, reusable abstractions and prioritize user experience for internal customers. Systems thinker who can break down ambiguous problems, propose pragmatic designs, and measure outcomes. Collaborative communicator who seeks diverse perspectives, builds alignment, and gives and receives feedback constructively. Nice to have: Experience with cloud platforms (GCP and/or AWS), service-to-service networking, and network automation tooling. Nice to have: Familiarity with observability platforms (e.g., Infroscope or similar), testing frameworks, and secure-by-default practices. Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week.Your Recruiter will share more about how we work and company culture during the hiring process. At Box, we believe unique and diverse experiences benefit our culture, our products, our customers, our company, and our world. We aim to recruit a passionate, high-performing workforce that reflects the world we live in. If you are head-over-heels about this role but unsure if you meet all the requirements, we encourage you to apply! EQUAL OPPORTUNITY 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, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation. Box strives to respect the dignity and ‎‎independence of people with disabilities and is committed to giving them the same ‎‎opportunity to succeed as all other employees. Inclusiveness is core to our culture at Box, and we strive to ensure you get the most from your interview experience. Box makes reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please complete this form . Reasonable accommodations may include scheduling adjustments, document dictation and beyond. Notice to applicants in Los Angeles:  Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chair Ordinance.  The Fair Chair Ordinance is provided here . Notice to applicants in San Francisco:  Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chair Ordinance.  The Fair Chair Ordinance is provided here . For details on how we protect your information when you apply, please see our Personnel Privacy Notice. If you are a California-resident, please read our California Applicant & Candidate Privacy Notice here . NOTICE OF USE OF AI At Box, we believe in the power of AI to improve the recruiting process while keeping people at the heart of every decision. For more information on the use of AI in our hiring process, please visit our webpage here . Box is committed to fair and equitable compensation practices. Actual base salary (or OTE if commissionable role) is dependent upon factors such as: knowledge, skill level, experience, and work location. This role is also eligible for equity and benefits. For more information , check out our benefits and perks . In accordance with OFCCP compliance, here is the Pay Transparency Provision . Redwood City Pay Range $165,000 — $206,500 USD

Location: Canada, Waterloo, ON 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. Software Engineer II, Backend Waterloo, ON Build what’s next for players. We’re a startup inside Sony PlayStation: fast-moving, experimental, and highly ambitious, while backed by the scale, resources, and trust of Sony Interactive Entertainment. We’re building new mobile and web experiences that help gamers connect, discover, and play together in better ways. This is a rare opportunity to build at startup speed and deliver significant impact inside one of the largest gaming companies in the world. We are seeking a Software Backend Engineer to help design, build, and operate the services and data systems that power our new consumer experiences. Responsibilities Design, build, test, deploy, and operate reliable backend services and APIs for consumer applications across mobile and web. Contribute to backend architecture and technical decisions related to scalability, availability, consistency, latency, security, and cost. Design and maintain data models using relational and non-relational databases, caching systems, and asynchronous processing patterns. Build and maintain GraphQL and REST APIs that support mobile and web client experiences. Monitor and improve service performance, reliability, observability, and operational health. Partner with product managers, designers, and client engineers to translate product requirements into practical technical solutions. Participate in code reviews and share technical knowledge with other members of the engineering team. Requirements 3+ years of professional software development experience building backend services or applications. BS/MS degree in Computer Science, Software Engineering, or equivalent practical experience. Proficiency in server-side development (Node.js with TypeScript preferred). Experience with relational and non-relational databases, including data modelling, indexing, transactions, and performance optimization (PostgreSQL preferred). Experience designing, building, or integrating GraphQL and REST APIs. Familiarity with caching, message queues, event streams, or asynchronous processing systems. Understanding of cloud infrastructure, containerized services, CI/CD pipelines, and infrastructure as code. Experience working with production systems on AWS or another major cloud platform. Bonus Experience building social, community, gaming, or other consumer products. Understanding of real-time communication systems, including messaging, presence, notifications, and activity feeds. Experience working with social graphs, recommendation systems, content discovery services, or personalization platforms. Familiarity with trust and safety, content moderation, abuse prevention, or user-reporting systems. Previous experience at an early-stage startup or on a zero-to-one product team. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. The estimated Ontario base pay range for this role is listed below. $119,400 — $169,400 CAD 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: Canada, Waterloo, ON 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 Software Engineer, Backend Waterloo, ON Build what’s next for players. We’re a startup inside Sony PlayStation: fast-moving, experimental, and highly ambitious, while backed by the scale, resources, and trust of Sony Interactive Entertainment. We’re building new mobile and web experiences that help gamers connect, discover, and play together in better ways. This is a rare opportunity to build at startup speed and deliver significant impact inside one of the largest gaming companies in the world. We are seeking a Senior Backend Software Engineer to help define the architecture, services, data models, and technical standards that power our new consumer experiences. Responsibilities Define and evolve the backend architecture for highly available, scalable consumer applications across mobile and web. Design, build, test, deploy, and operate reliable backend services and APIs. Design data models and storage strategies across relational, non-relational, caching, and event-driven systems. Make thoughtful architectural decisions related to scalability, consistency, availability, latency, security, and cost. Drive performance optimization, service reliability, observability, monitoring, and incident response best practices. Establish coding standards, testing strategies, deployment patterns, and development practices that raise the quality bar for backend engineering. Partner with product managers, designers, and client engineers to translate product requirements into maintainable technical solutions. Mentor engineers and act as a multiplier for backend development expertise across the broader team. Collaborate with security, privacy, and platform teams to ensure systems meet appropriate data protection and compliance requirements. Requirements 5+ years of professional software development experience building and operating backend services in production. BS/MS degree in Computer Science, Software Engineering, or equivalent practical experience. Proficiency in server-side development (Node.js with TypeScript preferred). Experience with relational and non-relational databases, including data modelling, indexing, transactions, and performance optimization (PostgreSQL preferred). Demonstrated ability to design and build GraphQL and REST APIs. Familiarity with caching, message queues, event streams, and asynchronous processing systems. Solid understanding of cloud infrastructure, containerized services, CI/CD pipelines, and infrastructure as code (IaC). Hands-on experience building and operating production systems on AWS, including compute, storage, networking, databases, and IAM. Bonus A track record of building social, community, gaming, or other consumer products. Understanding of real-time communication systems, including messaging, presence, notifications, and activity feeds. Experience designing social graphs, recommendation systems, content discovery services, or personalization platforms. Experience with trust and safety, content moderation, abuse prevention, or user reporting systems. Previous experience at an early-stage startup or on a zero-to-one product team. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. The estimated Ontario base pay range for this role is listed below. $141,900 — $212,900 CAD 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: Ontario, CAN 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 Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry’s largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators. The team has a dual mandate: maximizing compute efficiency to reliably serve our explosive customer growth, while enabling breakthrough research by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms. Inference systems are highly performance sensitive distributed systems. Inference serves hundreds of thousands of customers every day, and the size & span of the inference fleet requires sophisticated routing, scaling, and networking systems. Key responsibilities Design, build, and maintain the distributed systems that serve Claude to millions of users worldwide Develop resilient, flexible systems that adapt in real time to real world events Develop intelligent request routing, load balancing, and traffic management systems across thousands of accelerators Maximize compute efficiency across the fleet by autoscaling and orchestrating production, research, and experimental workloads Build and operate production-grade deployment pipelines for releasing new models to users Provide high-performance inference infrastructure that enables researchers to develop next-generation models Integrate new AI accelerator platforms and support inference for new model architectures Minimum qualifications Significant software engineering experience, particularly with distributed systems Results-oriented, with a bias towards flexibility and impact Willingness to pick up slack, even if it goes outside your job description Desire to learn more about machine learning systems and infrastructure Thrive in environments where technical excellence directly drives both business results and research breakthroughs Care about the societal impacts of your work Preferred qualifications Experience with high-performance, large-scale distributed systems Experience implementing and deploying machine learning systems at scale Experience with load balancing, request routing, or traffic management systems Familiarity with LLM inference optimization, batching, and caching strategies Experience with Kubernetes and cloud infrastructure (AWS, GCP, Azure) Proficiency in Python or Rust Representative projects Designing intelligent routing algorithms that optimize request distribution across many accelerators in different environments Autoscaling our compute fleet to dynamically match supply with demand across production, research, and experimental workloads Building production-grade deployment pipelines for releasing new models to millions of users reliably Contributing to new inference features Supporting inference for new model architectures Analyzing observability data to tune performance based on real-world production workloads Managing multi-region deployments and geographic routing for global customers Deadline to apply: None. Applications will be reviewed on a rolling basis. 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: Remote (Canada) Thank you for considering Tailscale. If this job description resonates with you, please apply. Frequently cited statistics show that people who identify with historically marginalized groups are likely to apply to jobs only if they meet 100% of the qualifications. We encourage you to help us break that statistic! About Tailscale Tailscale is making safe connection effortless by delivering software that makes it easy to securely interconnect people and their devices, no matter where they are. From hobbyists to multinational corporations, teams of every size use Tailscale each day to protect their networks, share access to internal tools, and more. We're building a future for the Internet that's easy, sensible, and safe, like it used to be. Founded in 2019 and fully distributed, we're backed by Accel, CRV, Insight, Heavybit, and Uncork Capital. About the Role As a Forward Deployed Engineer at Tailscale, you’ll be the bridge between our technical capabilities and the needs of our most strategic customers. You will work directly with customers to ensure their success with Tailscale’s products, helping them get onboarded, driving their long-term adoption, and providing expert technical guidance throughout their journey. This role requires a combination of technical proficiency, problem-solving skills, and an empathetic customer-centric approach to ensure customers are fully empowered to leverage the power of Tailscale. The role will report directly to the Team Lead, Customer Success Engineers. Key Responsibilities Design and build novel solutions to complex customer challenges that fall outside Tailscale’s standard deployment patterns (e.g., prototyping custom integrations, tooling, and network architecture; using structured experimentation and testing to validate solutions for bespoke client uses) Turn one-off customer solutions into repeatable, reusable assets such as reference architectures, deployment frameworks, and tooling, that can be applied across the broader customer base. Lead and manage the onboarding process for new strategic customers, ensuring they quickly understand and adopt Tailscale. Provide training and resources that set customers up for long-term success. Offer technical support for customers, diagnosing and resolving issues across Tailscale's platform. Assist with configuration, integration, and troubleshooting to ensure smooth implementation. Conduct QBRs with customers to review usage, success metrics, and future goals. Use these touchpoints to identify opportunities for deeper engagement and horizontal expansion. Build strong relationships with customers, acting as a trusted advisor. Help customers optimize their use of Tailscale by identifying best practices, and by providing recommendations based on their specific use cases and desired business outcomes. Serve as the voice of the customer internally, relaying feedback and insights to the product and engineering teams to help improve the product and the customer experience. Work closely with sales, product, engineering, and support teams to ensure smooth handoffs, escalate critical issues, and drive customer success across the organization. Develop and maintain a repository of technical documentation, FAQs, and guides to help customers self-serve. Share insights and best practices with both the customer and internal teams. What We Are Looking For 6+ Years in a technical role with minimum 2 years of customer-facing experience (Solutions engineer/architect, Sr. Support Engineer, etc.) Experience working with enterprise customers in a consultative capacity Strong understanding of networking, VPNs, and security principles. Experience with cloud infrastructure (AWS, GCP, Azure) and tools like Docker, Kubernetes, and other DevOps technologies Prior experience in a customer-facing technical role such as Technical Support Engineer, Solutions Engineer/architect, or Customer Success Engineer at a SaaS company Ability to clearly explain complex technical concepts to a diverse audience, from non-technical stakeholders to engineers. Strong written and verbal communication skills are a must Analytical mindset and troubleshooting skills, with the ability to think critically and methodically to resolve complex technical issues A passion for delivering excellent customer service and a strong focus on building long-term customer relationships Ability to manage multiple customer accounts, prioritize tasks, and keep projects on track. Strong time management and organizational skills are key A collaborative mindset and ability to work cross-functionally with product, sales, and engineering teams to deliver customer success As a company, we strive to maintain fair and equitable compensation practices within our team across all roles and all levels. Tailscale's compensation package includes base salary, equity, and comprehensive benefits. The salary range displayed on each job posting represents the target range for a new hire's base salary. Individual offers may vary based on experience and skill set. For this position, our pay ranges reflect target OTE (on target earnings), inclusive of base salary and variable compensation tied to the attainment of quarterly sales targets. CAN Pay Range (OTE) $201,000 — $335,000 CAD What We Offer An inclusive, flexible environment where you can be your authentic self. We recognize the impact of diverse voices and backgrounds on the growth of our people, product, and company. And that flexibility in how and when you work empowers our team to integrate work and life. A competitive total compensation package. This includes a base salary, an equity incentive plan and variable commission (for quota-based roles). Comprehensive group benefits with no waiting period. Take advantage of coverage for health, vision, dental, and more for you and your family! Remote first company —most of our teams work fully remotely. Enjoy a change of scenery wherever you can get wifi, participate in virtual and in-person social events, and leverage our corporate co-working program to visit WeWork (or other similar spaces near you). Some roles require in-office collaboration depending on team needs, which will be clearly noted in the job description. Employer-funded retirement contributions. Tailscale will match your retirement contributions dollar-for-dollar, up to a maximum annual employer contribution equal to 0.75% of your eligible compensation. Connect with other Tailscalars IRL. Attend our annual company retreat, participate in team off-sites, and collaborate in person with teammates across Canada, the United States, the United Kingdom, and Singapore. We support intentional in-person connection through team travel and distributed collaboration. Support for your personal and professional development. Grow your career thoughtfully with $1500 USD annually for professional development, or take advantage of mentorship, coaching, and internal promotion opportunities. Paid time off and a healthy work-life integration. Our flexible, paid time off program supports you for any situation life throws your way, whether moving homes or travelling the world! A build-your-own home office setup. You choose your own company-owned laptop (Mac or PC), receive a monthly home internet reimbursement, and $500 USD to customize your workstation to make it your own. Paid parental leave program . We care about your life outside of work and encourage new parents to take advantage of parental leave top-ups (20 weeks for birthing parents, 16 weeks for non-birthing parents). Tailscale is committed to providing an accessible and inclusive hiring process. If you require an accommodation at any stage of the recruitment process or related to any aspect of this role, please contact your recruiter. Our hiring process uses AI-assisted tools to help screen and assess candidates. All hiring decisions are made by people. Please be aware that legitimate emails from Tailscale's talent team will only originate from @tailscale.com, @greenhouse.io, and @interviews.modernloop.io email addresses. For more information about protecting yourself from impersonators and scams, please visit https://tailscale.com/scam-awareness .

Location: Remote (United States) Thank you for considering Tailscale. If this job description resonates with you, please apply. Frequently cited statistics show that people who identify with historically marginalized groups are likely to apply to jobs only if they meet 100% of the qualifications. We encourage you to help us break that statistic! About Tailscale Tailscale is making safe connection effortless by delivering software that makes it easy to securely interconnect people and their devices, no matter where they are. From hobbyists to multinational corporations, teams of every size use Tailscale each day to protect their networks, share access to internal tools, and more. We're building a future for the Internet that's easy, sensible, and safe, like it used to be. Founded in 2019 and fully distributed, we're backed by Accel, CRV, Insight, Heavybit, and Uncork Capital. About the Role As a Forward Deployed Engineer at Tailscale, you’ll be the bridge between our technical capabilities and the needs of our most strategic customers. You will work directly with customers to ensure their success with Tailscale’s products, helping them get onboarded, driving their long-term adoption, and providing expert technical guidance throughout their journey. This role requires a combination of technical proficiency, problem-solving skills, and an empathetic customer-centric approach to ensure customers are fully empowered to leverage the power of Tailscale. The role will report directly to the Team Lead, Customer Success Engineers. Key Responsibilities Design and build novel solutions to complex customer challenges that fall outside Tailscale’s standard deployment patterns (e.g., prototyping custom integrations, tooling, and network architecture; using structured experimentation and testing to validate solutions for bespoke client uses) Turn one-off customer solutions into repeatable, reusable assets such as reference architectures, deployment frameworks, and tooling, that can be applied across the broader customer base. Lead and manage the onboarding process for new strategic customers, ensuring they quickly understand and adopt Tailscale. Provide training and resources that set customers up for long-term success. Offer technical support for customers, diagnosing and resolving issues across Tailscale's platform. Assist with configuration, integration, and troubleshooting to ensure smooth implementation. Conduct QBRs with customers to review usage, success metrics, and future goals. Use these touchpoints to identify opportunities for deeper engagement and horizontal expansion. Build strong relationships with customers, acting as a trusted advisor. Help customers optimize their use of Tailscale by identifying best practices, and by providing recommendations based on their specific use cases and desired business outcomes. Serve as the voice of the customer internally, relaying feedback and insights to the product and engineering teams to help improve the product and the customer experience. Work closely with sales, product, engineering, and support teams to ensure smooth handoffs, escalate critical issues, and drive customer success across the organization. Develop and maintain a repository of technical documentation, FAQs, and guides to help customers self-serve. Share insights and best practices with both the customer and internal teams. What We Are Looking For 6+ Years in a technical role with minimum 2 years of customer-facing experience (Solutions engineer/architect, Sr. Support Engineer, etc.) Experience working with enterprise customers in a consultative capacity Strong understanding of networking, VPNs, and security principles. Experience with cloud infrastructure (AWS, GCP, Azure) and tools like Docker, Kubernetes, and other DevOps technologies Prior experience in a customer-facing technical role such as Technical Support Engineer, Solutions Engineer/architect, or Customer Success Engineer at a SaaS company Ability to clearly explain complex technical concepts to a diverse audience, from non-technical stakeholders to engineers. Strong written and verbal communication skills are a must Analytical mindset and troubleshooting skills, with the ability to think critically and methodically to resolve complex technical issues A passion for delivering excellent customer service and a strong focus on building long-term customer relationships Ability to manage multiple customer accounts, prioritize tasks, and keep projects on track. Strong time management and organizational skills are key A collaborative mindset and ability to work cross-functionally with product, sales, and engineering teams to deliver customer success As a company, we strive to maintain fair and equitable compensation practices within our team across all roles and all levels. Tailscale's compensation package includes base salary, equity, and comprehensive benefits. The salary range displayed on each job posting represents the target range for a new hire's base salary. Individual offers may vary based on experience and skill set. For this position, our pay ranges reflect target OTE (on target earnings), inclusive of base salary and variable compensation tied to the attainment of quarterly sales targets. US Pay Range (OTE) $150,000 — $250,000 USD What We Offer An inclusive, flexible environment where you can be your authentic self. We recognize the impact of diverse voices and backgrounds on the growth of our people, product, and company. And that flexibility in how and when you work empowers our team to integrate work and life. A competitive total compensation package. This includes a base salary, an equity incentive plan and variable commission (for quota-based roles). Comprehensive group benefits with no waiting period. Take advantage of coverage for health, vision, dental, and more for you and your family! Remote first company —most of our teams work fully remotely. Enjoy a change of scenery wherever you can get wifi, participate in virtual and in-person social events, and leverage our corporate co-working program to visit WeWork (or other similar spaces near you). Some roles require in-office collaboration depending on team needs, which will be clearly noted in the job description. Employer-funded retirement contributions. Tailscale will match your retirement contributions dollar-for-dollar, up to a maximum annual employer contribution equal to 0.75% of your eligible compensation. Connect with other Tailscalars IRL. Attend our annual company retreat, participate in team off-sites, and collaborate in person with teammates across Canada, the United States, the United Kingdom, and Singapore. We support intentional in-person connection through team travel and distributed collaboration. Support for your personal and professional development. Grow your career thoughtfully with $1500 USD annually for professional development, or take advantage of mentorship, coaching, and internal promotion opportunities. Paid time off and a healthy work-life integration. Our flexible, paid time off program supports you for any situation life throws your way, whether moving homes or travelling the world! A build-your-own home office setup. You choose your own company-owned laptop (Mac or PC), receive a monthly home internet reimbursement, and $500 USD to customize your workstation to make it your own. Paid parental leave program . We care about your life outside of work and encourage new parents to take advantage of parental leave top-ups (20 weeks for birthing parents, 16 weeks for non-birthing parents). Tailscale is committed to providing an accessible and inclusive hiring process. If you require an accommodation at any stage of the recruitment process or related to any aspect of this role, please contact your recruiter. Our hiring process uses AI-assisted tools to help screen and assess candidates. All hiring decisions are made by people. Please be aware that legitimate emails from Tailscale's talent team will only originate from @tailscale.com, @greenhouse.io, and @interviews.modernloop.io email addresses. For more information about protecting yourself from impersonators and scams, please visit https://tailscale.com/scam-awareness .

Location: Paris, France 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. À propos d’Anthropic La mission d’Anthropic est de créer des systèmes d’IA fiables, interprétables et orientables. Nous voulons que l'IA soit sûre et bénéfique pour nos utilisateurs et pour la société dans son ensemble. Notre équipe est composée de chercheurs, d'ingénieurs, d'experts politiques et de chefs d'entreprise engagés qui travaillent ensemble pour créer des systèmes d'IA bénéfiques. À propos du poste En tant qu'architecte des solutions partenaires au sein de l'équipe d'IA appliquée d'Anthropic, vous serez architecte avant-vente chargé d'entretenir des relations techniques avec nos intégrateurs de systèmes mondiaux et régionaux (GSI/RSI) et nos partenaires cloud (AWS et GCP). Vous renforcerez nos relations avec les partenaires clés pour accélérer les revenus indirects, permettre leurs pratiques d'IA et exécuter la stratégie GTM à long terme. Responsabilités: Partenariat technique stratégique : soyez un partenaire de réflexion technique pour l'équipe des partenariats Anthropic GTM, en apportant une expertise technique pour mieux comprendre l'environnement des partenaires, en pilotant des programmes stratégiques clés et en identifiant des opportunités pour approfondir leurs compétences techniques. Vous vous intégrez aux équipes techniques de GSI et des partenaires cloud pour mettre en œuvre leurs pratiques en matière d'IA, vous aider à résoudre les problèmes, promouvoir Anthropic au sein de leurs communautés de développeurs et servir de point d'accès pour les problèmes techniques complexes. Développement conjoint de solutions : Collaborer avec des partenaires pour identifier des applications GenAI spécifiques à grande valeur industrielle, développer des solutions conjointes et codifier des architectures de référence / bonnes pratiques afin d’accélérer le temps de déploiement Assistance aux offres clients : Intervenir directement pour débloquer des transactions clients stratégiques où les partenaires sont le principal vecteur de livraison, apportant une expertise technique approfondie et des conseils en architecture de solutions. Écosystème de partenaires et événements : représentez Anthropic lors d'événements partenaires tels que les ateliers clients GSI, les sommets AWS et les conférences sectorielles. Animer ou soutenir des événements, hackathons et sessions de formation technique destinés aux développeurs partenaires, en particulier pour les communautés ayant une expertise technique pointue. Retours sur les produits : validez et recueillez des retours sur les produits et services d'Anthropic, notamment en ce qui concerne les cas d'utilisation et modèles de déploiement des partenaires, et transmettez ces commentaires aux équipes Anthropic concernées afin d'éclairer la feuille de route du produit et la stratégie des partenaires. Profil recherché: Plus de 5 ans d'expérience dans des rôles techniques orientés clients et partenaires, tels que Architecte de Solutions, Ingénieur Commercial, Ingénieur Commercial Partenaires, Responsable de Compte Technique Expérience avérée de partenariats fructueux avec des intégrateurs de systèmes mondiaux et/ou des fournisseurs de services cloud pour résoudre des problèmes techniques complexes, de la conception initiale de la solution à sa mise en œuvre chez le client Capacité exceptionnelle à établir des relations avec diverses parties prenantes et à leur communiquer des concepts techniques, notamment des cadres supérieurs, des équipes informatiques et d'ingénierie, etc. Solides compétences en présentation et communication technique avec la capacité de traduire les exigences entre parties prenantes techniques et commerciales Expérience de la conception d'architectures cloud évolutives et de l'intégration avec des systèmes d'entreprise Familiarité avec les cadres et outils LLM courants ou une formation en apprentissage automatique ou en science des données Enthousiasme à l'idée de participer à une collaboration inter-organisationnelle, de trouver des compromis et de trouver un équilibre entre des priorités concurrentes L'amour de l'enseignement, du mentorat et de la réussite des autres Passion pour la réflexion créative sur la manière d'utiliser la technologie de façon sûre et bénéfique, et qui favorise ultimement l'avancement des systèmes d'IA sûrs. 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 an Applied AI Architect on the Partnerships 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. 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. You may be a good fit if you have: 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 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: €190.000 — €220.000 EUR 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: San Francisco, CA; New York, NY Workplace: OnSite ABOUT US At LangChain, our mission is to enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale. We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry. More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale. ABOUT THE TEAM The Security team ensures that while AI moves at breakneck speed, everyone driving the racecar is wearing a seatbelt. We secure LangChain's core platform and protect AI agents from emerging threats. We work across the stack so developers can confidently ship from prototype to production without compromising on safety or privacy. ABOUT THE ROLE You'll be the hands-on detection and response engineer responsible for how we see, stop, and learn from threats across LangChain's production platform, cloud infrastructure, and the services that host and execute agentic workloads. You'll partner closely with Product Security to turn threat models, vulnerabilities, and incidents into telemetry, detections, and durable defenses. Your primary focus is engineering: building detection, investigation, and response systems that scale the Security team's impact beyond what manual operations allow. We are looking for engineers who think like builders, not just operators — strong software skills are a must. This role participates in an incident on-call rotation, but its core focus is engineering systems that reduce risk, speed up investigations, and make incidents less frequent and less costly. Location/City: San Francisco or NYC WHAT YOU'LL DO - Own the detection lifecycle: Translate threat models, incidents, and attacker behavior into telemetry requirements and detections-as-code. Validate coverage, measure signal quality, tune false positives, and continuously test whether defenses work. - Build security monitoring and telemetry: Design the telemetry pipeline end-to-end across cloud (GCP/AWS), Kubernetes, and the LangSmith/LangGraph control plane. Instrument services, define the signals that matter, and make security data reliable and useful. - Engineer investigations and threat hunting: Build tools and workflows for proactive hunting, evidence collection, incident scoping, and containment. Turn investigation findings into new detections and lasting improvements. - Use agents to scale the team: Build reliable internal AI agents and automation that triage alerts, enrich findings, gather evidence, scope incidents, and accelerate routine security work. Design human-in-the-loop controls and evaluations so automation is safe, observable, and trustworthy. - Lead incident response and participate in on-call: Triage, scope, contain, and remediate security incidents, then drive postmortems that produce durable engineering changes. - Partner with Product Security: Turn product threat models and vulnerability findings into production monitoring, and feed real-world detection and incident learnings back into secure design. WHAT YOU'LL BRING - 5+ years in security engineering, with meaningful experience in detection engineering, security operations, or incident response — and the software skills to build your way out of repetitive work. - Strong software engineering in Python or Go (TypeScript a plus). You design maintainable systems and write production code, not just one-off scripts. - Cloud and Kubernetes detection depth: Experience with GCP or AWS logging, Kubernetes audit and runtime telemetry, workload identity, and turning raw signals into actionable detections. - Detection and adversary expertise: The ability to model realistic attacker behavior, hunt across complex systems, test detection coverage, and distinguish meaningful signal from noise. - Hands-on incident response: You've participated in on-call, led incidents, and written postmortems that changed how a team operates. - Experience building reliable automation or developer-facing systems: You can design APIs and workflows, instrument what you build, evaluate quality, and operate it in production. - A pragmatic product mindset: You can identify users and requirements, prioritize the highest-leverage problems, define success, and ship iteratively. NICE TO HAVE - Experience building or operating AI agents for security workflows such as alert triage, investigation, evidence collection, or human-in-the-loop response. - Proficiency using AI tooling to accelerate security investigations and engineering work. - Understanding of AI threats, adversarial testing, and the security boundaries of LLM and agent workloads. - Exposure to SOC 2 or ISO 27001 monitoring and evidence automation. - Experience with infrastructure as code such as Terraform or Helm. - Experience securing both SaaS and self-hosted or air-gapped deployments. Annual salary range: $185,000- $250,000 USD COMPENSATION PHILOSOPHY: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: New York, New York, United States About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . Role: AI Engagement Lead (Enterprise AI) Location: New York, NY Experience Level: 10+ years Compensation: $225,000 to $255,000 base salary + bonus + equity Work Model: Hybrid, three days per week in office Why Join Enterprise AI? Enterprise AI is a distinct business unit within Turing, operating with the speed, focus, and ownership of a rapidly scaling startup. When it comes to applied AI in the workplace, you’ll define the frontier by building beyond it. As an AI Engagement Lead, you’ll own GenAI engagements for Fortune 500 clients end to end, from POC to full-scale implementation, while leading a team of Turing Forward Deployed Engineers. The Turing GenAI delivery organization has implemented multi-agent LLM systems, RAG systems, and open source LLM deployments for major enterprises. This is a hybrid delivery and go-to-market role. Roughly 80% of your time goes to delivering for the client, and 20% to growing the account by extending projects and finding new opportunities across the client’s organization. As an AI Engagement Lead, You Will Lead from the Technical Front Provide hands-on direction on solution architecture and system design, stay deep enough to review and step into your FDEs’ work, and keep the team aligned on a technical roadmap that ships on time. Own the Client Relationship Be the primary point of contact for client communication, feedback, and escalations. Build trust with stakeholders, manage expectations proactively, and bring new LLM research into the conversation to show what’s possible. Grow the Account Look beyond the current project. Identify the next phase, the future path for the team, and adjacent opportunities in the client’s organization, and select the use cases that unlock new revenue for the client and for Turing. Lead the Team and the Delivery Lead and develop a team of Forward Deployed Engineers, own delivery quality, scope, and timelines across one or two projects, and make decisions with gross margin, ROI, and long-term impact in mind. Our AI Engagement Leads Typically Have Deep technical leadership: 10+ years of professional experience, including at least 4 years driving machine learning and AI projects and experience leading engineering teams as an engineering manager or technical lead. Hands-on GenAI expertise: Strong command of agentic designs and frameworks such as LangChain and LangGraph, and cloud services on Azure, GCP, or AWS. Client-ready communication: Excellent communication and stakeholder management, with a track record of owning client relationships. Founder’s mindset: The drive to own end-to-end GenAI deliveries and grow accounts, plus familiarity with Agile methodologies and tools like JIRA and Confluence. Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .

Location: London Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology- and data-driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high-quality returns for our investors. The Network Automation team builds reliable, scalable tools that simplify network operations and improve engineering efficiency. We partner with our expert network engineers, infrastructure teams and business stakeholders to turn operational workflows into production-grade applications and intuitive user experiences. In this role you will work across the full development lifecycle, contributing to backend services, frontend interfaces, testing, deployment and observability. You will help shape technical decisions, improve engineering practices and build tools that make network operations safer, faster and more reliable. Prior networking experience is useful but not essential; curiosity about infrastructure automation and a willingness to learn the domain are highly valuable. Your Future Role within QRT Design, build and maintain scalable network automation applications. Develop and drive the design of reliable backend services and APIs, as well as contribute to modular frontend UIs. Work closely with network engineers, infrastructure teams and stakeholders to understand requirements and translate them into practical solutions. Build systems that are observable, testable, maintainable and well documented. Contribute to code reviews, testing practices, CI/CD pipelines and deployment processes. Build on and improve our agentic development workflows, to enable us to Help the team adopt effective tooling, modern engineering practices and responsible AI-assisted development workflows. Your Present Skillset Strong production experience in at least one of Go, Python, plus working knowledge of React/TypeScript. Willingness and ability to work across backend and frontend codebases. Experience analysing complex problems and building robust, maintainable systems. Ability to communicate technical decisions, progress and risks clearly to both technical and non-technical audiences. Experience working in Agile delivery environments, including planning, estimation and iterative releases. Desirable Experience working with cloud environments, preferably AWS. Experience with structured data and relational databases such as SQL/PostgreSQL. Experience with observability tools such as Prometheus, Alertmanager and Grafana. Experience in network automation, infrastructure automation, NetDevOps or operational tooling. Knowledge of automated testing, CI/CD, DevOps practices and infrastructure-as-code tooling such as Terraform. Knowledge of network inventory, configuration management, IPAM, monitoring or provisioning systems. QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.