Location: Montreal, Canada; United States; United Kingdom
The company provides full relocation support, including immigration assistance, and offers a relocation bonus upon arrival in Montreal. Selected candidates may work remotely during the initial months while their immigration process is being completed; however, the long-term expectation is for the individual to transition to onsite work in Montreal once relocation has been finalized.
Role:
As part of the System Engineering Department, the Flight Operations System Engineer will participate, and coordinate the work needed for the analysis, planning and definition of the constellation operations ConOps, and the preparations, testing and execution of the operations procedures.
Tasks:
The Satellite Flight-Operations engineer will perform and participate in the following tasks and activities, depending on the background and experience of the candidate.
Trade-off studies to design, develop and simulate the overall Satellite LEOP plan.
Development of Spacecraft In-Orbit Operations Procedures and oversight of their execution and associated trainings.
Development of Satellite Operation Manuals, test procedures and oversight of their execution and associated trainings.
Verification & Validation Matrices of the operations procedures for on-orbit commissioning, routine, and contingency operations of the mission.
Support In-Orbit Test (IOT), anomaly resolution + FDIR.
Support the Satellite Simulator Operation and script development.
Must haves
Bachelor’s degree in engineering in a relevant field
At least 10 years of relevant practical experience
Previous experience with LEO/MEO satellite systems.
Experience with automated satellite operations, especially design and IOT.
Systems Engineering experience in concepts of space and ground segment design, specification and integration, knowledge of Flight Software role in operations, Satellite Database Operations concept and telemetry structure concepts.
Experience creating or using models and/or simulation software.
Knowledge of Python or other scripting languages
Knowledge of Matlab
Knowledge of AG1's Systems Tool Kit (STK)
Complementary skills/knowledge
Previous experience in Constellation Operations
Development and testing of new automated operations
Knowledge of MS Excel, for the purposes of engineering analyses
Knowledge of requirements Management tools such as DOORS/Windchill/Jama
Demonstrated capability to efficiently work with little to no supervision
Strong written and verbal communications skills in English, knowledge of French will be considered favorably
seniorMontreal, Canada; United States; United Kingdom; [ Fastwater Staffing ] Senior Flight-Operations Satellite-Systems-Engineer | Relocate to Montreal, Canada ( Full Relocation Package ); The company provides full relocation support, including immigration assistance, and offers a relocation bonus upon arrival in Montreal; Selected candidates may work remotely during the initial months while their immigration process is being completed; however, the long-term expectation is for the individual to transition to onsite work in Montreal once relocation has been finalized
Location: Montreal, Canada; United States; United Kingdom
The company provides full relocation support, including immigration assistance, and offers a relocation bonus upon arrival in Montreal. Selected candidates may work remotely during the initial months while their immigration process is being completed; however, the long-term expectation is for the individual to transition to onsite work in Montreal once relocation has been finalized.
Role:
As part of the System Engineering Department, the Flight Operations Engineer will participate, and coordinate the work needed for the definition, development and execution of the constellation operations, and the preparations, implementation, testing and verification of the operations procedures.
Tasks:
The Satellite Flight-Operations engineer will perform and participate in the following tasks and activities, depending on the background and experience of the candidate.
Trade-off studies regarding the design, develop and testing of the satellite/constellation operations procedures.
Development of Spacecraft In-Orbit Operations Procedures and oversight of their execution and associated trainings.
Development of Satellite Operation Manuals, test procedures and oversight of their execution and associated trainings.
Verification & Validation Matrices of the operations procedures for on-orbit commissioning, routine, and contingency operations of the mission.
Support In-Orbit Test (IOT), anomaly resolution + FDIR.
Support the Satellite Simulator Operation and script development.
Must haves
Bachelor’s degree in engineering in a relevant field
At least 7 years of experience
Previous experience with
LEO/MEO
SatOps.
Experience with
automated satellite
operations and IOT
Experience in
concepts of space and ground segment design, specification and integration, knowledge of
Flight Software role in operations, Satellite Database Operations concept and telemetry structure concepts.
Knowledge in
Python
or other scripting languages
Complementary skills/knowledge
AG1's Systems Tool Kit (STK)
Requirements Management tools such as DOORS/Windchill/Jama
Previous experience in Constellation Operations
The design, development and testing of new automated operations flows and scripts.
Experience creating or using models and/or simulation software.
Demonstrated capability to efficiently work with little to no supervision
Strong written and verbal communications skills in English, knowledge of French will be considered favorably
Montreal, Canada; United States; United Kingdom; [ Fastwater Staffing ] Flight-Operations Systems Engineer | Relocate to Montreal, Canada (Full Relocation Package); The company provides full relocation support, including immigration assistance, and offers a relocation bonus upon arrival in Montreal; Selected candidates may work remotely during the initial months while their immigration process is being completed; however, the long-term expectation is for the individual to transition to onsite work in Montreal once relocation has been finalized
JКомпания не указана
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Скрытые компании и отметки о просмотре ещё не подключены.
О КОМПАНИИ
Мы — команда экспертов с 7-летним опытом разработки экономических моделей для международных Web3-проектов. Специализируемся на создании устойчивых токеномик, привлечении инвестиций и защите ценности активов. Ищем аналитика-практика для глубокого моделирования и аудита систем.
ОСНОВНЫЕ ЗАДАЧИ
— Разработка архитектуры токеномики с нуля и аудит существующих моделей.
— Построение комплексных финансовых моделей (Unit-экономика, PnL, LTV/CAC).
— Моделирование влияния токена на продуктовые метрики (Retention, Revenue).
— Проведение стресс-тестов и анализ чувствительности (Sensitivity Analysis).
— Подготовка аналитических материалов и презентаций для фаундеров и инвесторов.
— Визуализация и техническое тестирование моделей на Python.
ТРЕБОВАНИЯ К КАНДИДАТУ
— Практический опыт разработки токеномики с подтвержденными кейсами.
— Глубокое понимание Token Utility, Incentive Design и динамики спроса/предложения.
— Навыки финансового моделирования и работы с большими массивами данных.
— Английский язык на уровне B2+ (обязательно для работы с глобальными проектами).
— Владение Python для анализа и визуализации данных (желательно).
— Опыт в сегментах DeFi или GameFi будет существенным преимуществом.
УСЛОВИЯ РАБОТЫ
— Возможность работы с реальными, а не теоретическими экономическими системами.
— Прямое влияние на успех и устойчивость международных крипто-продуктов.
— Гибкий формат: полная удаленка или работа в гибридном режиме из офиса в Москве.
— Индивидуальный подход к уровню оплаты и формату нагрузки.
ГибридМосква
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Location: Valencia
Workplace: OnSite
ROLE HIGHLIGHTS:
- Role: Senior Operations Specialist
- Department: HAPS
- Location: Valencia, Spain
- Working type: Hybrid
- Employment is subject to applicable security screening (incl. SUPO, where required)
THE MISSION OF THE SENIOR OPERATIONS SPECIALIST
As Senior Operations Specialist on the HAPS program, you will be the driving force behind getting ICEYE's stratospheric electric aircraft safely and successfully into the sky. You will own the development of the full operations infrastructure — hardware, software, and procedures — as well as the planning and execution of flight test campaigns from the ground up. This means interfacing with aviation authorities to secure flight clearances, developing SORA-based safety assessments, operating the aircraft from the ground control station, and translating flight test results into actionable insights that feed back into the aircraft's development. You will sit at the crossroads of engineering and operations, contributing not just to how the aircraft flies, but to how it is built, tested, and continuously improved — helping establish an operations capability that will scale as the program grows.
WHO ARE WE?
ICEYE delivers space-based intelligence, surveillance, and reconnaissance (ISR) capabilities to governments and allied nations. This includes sovereign and turnkey ISR missions leveraging ICEYE's world-leading synthetic aperture radar (SAR) satellite technology, as well as access to data from the world's largest SAR satellite constellation. These capabilities enable partners to detect and respond to critical changes anywhere on Earth with unprecedented speed and accuracy – day or night and in any weather, supported by ultra high-resolution imagery and high-frequency revisits.
As a trusted partner for defense, intelligence, security, and maritime domain awareness, ICEYE's near real-time data creates a tactical advantage for mission-critical operations. ICEYE operates internationally with offices in Finland, Poland, Spain, Japan, the UAE, Greece, Germany, and the US. The company has more than 900 employees, inspired by the shared vision of improving life on Earth by becoming the global source of truth in Earth Observation.
DAY TO DAY RESPONSIBILITIES:
- Develop and assist ICEYE flight Operations
- Plan & coordinate flight testing campaigns
- Develop SORA-based and MET-based site/operational flight feasibility assessments tools
- Interface with authorities/external entities for coordination & flight clearance
- Operate unmanned aircraft (from GCS)
- Assess and report flight testing results
- Assist in aircraft and operations related documentation development
- Assist with aircraft components integration & systems ground testing
- Assist in aircraft and simulation systems development
- Assist in aircraft prototyping and systems testing
REQUIREMENTS:
MUST HAVE SKILLS
- 5+ years of relevant experience in UAS testing and operation
- Experience in aircraft prototyping & manufacturing, e.g. mechanical prototyping tools
- Experience with safety analysis in the SORA framework
- Good programming skills (C, C++, Python)
- Ability to drive large vehicles or convoys (within limits of B license)
- Good command of the English language, both oral and written
NICE TO HAVE SKILLS
- Electronics/avionics engineering profile, being able to debug and/or implement quick SW/HW solutions
- Good knowledge of meteorology sciences (turbulence formation, thermic activity, etc., and how to identify it).
- Familiarity with Autopilot/GPS stack calibration
- Familiarity with ground software like QGroundControl
- Familiarity with lightweight composite airframes
- EASA-valid remote pilot license up to specific category standard scenarios
- Proactive can-do attitude and love for aerospace are expected
APPLICATION PROCESS
- Talent Acquisition Interview
- Hiring Manager Interview
- Technical Interview (onsite or virtual), including a Technical Challenge
- Hiring Team Interview
- Offer Decision
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 https://www.iceye.com
Location: Beograd, Serbia
Workplace: remote
Novakid is an online English platform for kids — 100,000+ students, 2,500+ teachers, 15+ countries. Live classes run around the clock across time zones, which sets the technical bar: low latency, high availability, and a backend that holds up at real scale.
We’ve built a working platform. The next chapter is making deliberate architectural choices about how it should evolve.
The role
We’re hiring a Principal Backend Engineer to take ownership of backend architecture as a hands-on technical leader. No direct reports. About half your time is in the code — reference implementations, critical components, refactors. The other half is the harder work: deciding what to build, what to buy, what to defer, and why.
Our backend today is a Python core (FastAPI, SQLAlchemy, Celery, Postgres, Redis), surrounded by services and event-driven flows, with a growing AI layer. It runs primarily on AWS, with GCP for data and AI workloads. There are real architectural questions to answer: how to evolve the monolith, how to set service boundaries, how to design for geo-distribution as we grow, and how to integrate AI without accumulating debt. We’re looking for someone who treats those questions seriously — researches before deciding, thinks in tradeoffs, writes things down.
What you’ll work on
Backend architecture standards and major technical decisions across teams
The path from monolith toward a more modular, service-oriented backend
Service blueprints: API conventions, EDA patterns, testing, observability, deployment
Cloud architecture across AWS (primary) and GCP, including multi-region and geo-distributed designs
High-load, real-time systems: live class infrastructure, latency budgets, caching, capacity
Buy vs. build vs. assemble — knowing when a managed service, a no-code tool (Retool, n8n), or an agentic-coding POC (Claude Code, Cursor) is the right call, and when it isn’t
Production code: components, refactors, POCs, and selected product-critical features
What we’re looking for
7+ years of backend engineering, deeply hands-on in Python
Production experience with FastAPI, SQLAlchemy, Celery, Postgres, Redis
Strong AWS architecture experience (EKS, Lambda, RDS, SQS/SNS/EventBridge, and so on); working knowledge of GCP a plus
Experience designing high-load, latency-sensitive, and geo-distributed systems
Pragmatic judgment on buy vs. build vs. assemble — managed services, no-code, and agentic tooling as first-class options, not shortcuts
A deliberate working style: you research, weigh tradeoffs, document decisions, and explain them clearly to engineers and non-engineers alike
Nice to have
LLM integrations in production (OpenAI, Anthropic, Google AI) — evaluation, cost, reliability
Active use of agentic coding tools (Claude Code, Cursor) as part of how you ship
EdTech or other high-scale consumer platforms
Stack
Python · FastAPI · SQLAlchemy · Celery · Postgres · Redis · Kubernetes (EKS, GKE) · AWS · GCP · SQS/SNS/EventBridge · Pub/Sub · OpenAI · Anthropic · Google AI
What we offer…
Fully remote work (core hours GMT+3).
A chance to shape the future of AI-driven education.
A fun, dynamic team that loves building innovative products.Unlimited holidays – because we trust you to deliver.
Bonuses and stock options – we grow together.
Location: United Kingdom; Philippines; North Macedonia; Georgia; Albania; Serbia
About Huzzle
At Huzzle, we connect exceptional talents with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms across industries such as SaaS, MarTech, FinTech, and EdTech.
Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team. This means you work closely with internal teams, contribute to meaningful projects, and have real opportunities for career growth.
Role Type: Full-time
Engagement: Independent Contractor
Job Summary
We are searching for a Go-To-Market (GTM) Engineer for a fast-growing, high-performance team. This is a unique hybrid role combining sales engineering, growth, and automation, ideal for candidates who thrive at the intersection of technology, data, and revenue generation.
You will play a critical role in designing and optimizing outbound sales systems, building scalable lead generation pipelines, and supporting revenue teams with technical solutions that drive measurable growth. This is an excellent opportunity for professionals seeking remote GTM roles, growth engineering jobs, or technical sales positions.
Key Responsibilities
Build and optimize outbound sales infrastructure, including email automation, CRM workflows, and prospecting systems.
Develop and manage lead generation pipelines using tools like Apollo, Clay, HubSpot, Salesforce, or similar platforms.
Collaborate with Sales Development Representatives (SDRs) and Account Executives to improve conversion rates and pipeline velocity.
Design and implement data-driven growth experiments across outbound and inbound channels.
Automate repetitive workflows using APIs, no-code/low-code tools, and integrations (e.g., Zapier, Make).
Analyze campaign performance and provide actionable insights to improve outreach effectiveness.
Support CRM management, ensuring clean, structured, and scalable data systems.
Work closely with marketing and revenue teams to align GTM strategies with business objectives.
Requirements
2+ years of experience in GTM engineering, growth engineering, sales operations, or technical SDR roles.
Strong understanding of outbound sales, lead generation, and CRM systems.
Hands-on experience with tools such as HubSpot, Salesforce, Apollo, Clay, or similar platforms.
Familiarity with automation tools (Zapier, Make, APIs) and basic scripting (JavaScript or Python is a plus).
Analytical mindset with the ability to interpret data and optimize performance.
Excellent communication skills and ability to collaborate with cross-functional teams.
Experience working in remote sales or tech environments is highly preferred.
Self-starter who thrives in fast-paced, high-growth environments.
Benefits
💻 Fully Remote: Work from anywhere with international teams
🚀 Career Growth: Join companies in SaaS, MarTech, and B2B services
🤝 Peer Community: Connect with high-performing sales professionals in our network
🧭 Ongoing Support: Receive guidance from Huzzle before and after placement
💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals
Location: United Kingdom; Philippines; North Macedonia; Georgia; Albania; Serbia
About Huzzle
At Huzzle, we connect high-performing professionals with global companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries like SaaS, MarTech, FinTech, and EdTech. We match top talent to full-time remote roles where they’re hired directly into client teams and provided ongoing support by Huzzle.
Role Type: Full-time
Engagement: Independent Contractor
Job Summary
We are looking for a highly skilled Automation Engineer with strong n8n experience to design, build, and maintain workflow automations that streamline business processes. This is a fully remote opportunity ideal for someone passionate about low-code/no-code automation, API integrations, and system optimization.
Key Responsibilities
Design and implement automated workflows using n8n to optimize business operations
Integrate third-party tools (CRMs, marketing platforms, databases, APIs) into seamless workflows
Develop and maintain custom nodes or scripts when required
Monitor, troubleshoot, and improve existing automations for performance and reliability
Collaborate with cross-functional teams (sales, marketing, ops) to identify automation opportunities
Document processes, workflows, and system architecture
Ensure data integrity, security, and scalability across automation systems
Requirements
Proven experience as an Automation Engineer, Workflow Engineer, or similar role
Strong hands-on experience with n8n (required)
Solid understanding of APIs, webhooks, and RESTful services
Experience with tools like Zapier, Make (Integromat), or similar is a plus
Basic scripting knowledge (JavaScript, Python, or Node.js preferred)
Familiarity with CRMs (HubSpot, Salesforce), databases, and SaaS tools
Strong problem-solving skills and attention to detail
Excellent communication skills for remote collaboration
Benefits
💻 Fully Remote: Work from anywhere with international teams
🚀 Career Growth: Join companies in SaaS, MarTech, and B2B services
🤝 Peer Community: Connect with high-performing sales professionals in our network
🧭 Ongoing Support: Receive guidance from Huzzle before and after placement
💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals
УдалённоUnited Kingdom; Philippines; North Macedonia; Georgia; Albania; Serbia
Location: Canada; San Francisco; Europe; London; United States; United Kingdom; Toronto; Montreal
Workplace: Remote
WHO ARE WE?
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.
We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!
Why this role?
To have the opportunity to collaborate with Cohere researchers and tools on designing and implementing novel research ideas and shipping state-of-the-art models to production. We have openings in teams covering base model training, retrieval augmented generation, data and evaluation, safety, and finetuning, to name a few; and we are open to receiving intern applications in any research area relating to LLMs to broaden your research connections while obtaining deep experience in a growing AI startup.
Please Note: To be eligible for a Research Internship, you must be currently pursuing a PhD in Machine Learning, NLP, or a related discipline. You need to be available for a full-time internship that lasts for 4-6 months.
As a Cohere Research Intern, you will:
- Conduct cutting-edge machine learning research, building and training large language models.
- Focus on research projects aimed at expanding the frontier of knowledge in language modelling and associate areas such as evaluation, multimodal models, optimisation etc.
- Disseminate your research results through the production of publications, datasets, and code.
- Contribute to research initiatives that have practical applications in Cohere’s product development.
You may be a good fit if you:
- Are currently pursuing, or in the process of obtaining, a PhD in Machine Learning, NLP, Artificial Intelligence, or a related discipline. We will also consider exceptional non-PhD candidates.
- Are eligible for work authorization in the country of employment at the time of hire and maintain ongoing work authorization throughout the internship period.
- Have experience using large-scale distributed training strategies, data annotation and evaluation pipelines, or implementing state of the art ML models.
- Are familiar with autoregressive sequence models, such as Transformers.
- Have strong communication and problem-solving skills with the ability to convey complex research findings clearly and succinctly.
- Have knowledge, or are knowledgeable, of programming languages such as Python, C, C++, Lua, or related languages.
- Have knowledge of related ML frameworks such as JAX, Pytorch and Tensorflow.
- Have previous experience in building systems based on machine learning and deep learning techniques.
- Demonstrate passion for applied NLP models and products.
Preferred Qualifications:
- Demonstrated expertise through publications in top tier venues in fields such as machine learning, NLP, artificial intelligence, computer vision, optimization, computer science, statistics, applied mathematics, or data science.
- Proven ability to tackle analytical problems using quantitative methodologies.
- Proficiency in handling and analysing complex, high-dimensional data from various sources.
- Experience in applying theoretical and empirical research to real-world problem-solving.
FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS:
- A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
- Full health and dental benefits, including a separate budget for mental health.
- RRSP matching, 401K, Pension Scheme.
- 100% Parental Leave top-up for up to 6 months, for either parent.
- Annual enrichment benefits:
Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
Education & learning stipend for conferences, courses, and coaching.
- 6 weeks of paid vacation (30 working days!)
- Budget for traveling to other offices if you are remote, plus an annual company offsite.
HOW AND WHERE WE WORK:
- Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.
- For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
- For those not near an office: a co-working benefit so you can work alongside others in your city.
- Everyone receives a $500 home office stipend to set up your workspace properly.
If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.
We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs.
We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.
Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.
Location: Bosnia and Herzegovina; Serbia; Georgia; Romania; Hungary; Croatia
About Huzzle
At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries such as SaaS, MarTech, FinTech, and EdTech. Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team.
Role Type: Full-time
Engagement: Independent Contractor
Job Summary
We are seeking a skilled and proactive Full Stack Enginee
r
to join a high-performing remote team. In this role, you’ll be responsible for designing, developing, and maintaining scalable web applications across both frontend and backend systems. This is an exciting opportunity for engineers who enjoy working on impactful products, collaborating cross-functionally, and owning features end-to-end.
Key Responsibilities
Develop and maintain responsive, high-performance web applications (frontend + backend)
Collaborate with product managers, designers, and engineers to deliver new features
Build and integrate APIs, services, and third-party tools
Optimize applications for scalability, speed, and security
Write clean, maintainable, and well-documented code
Troubleshoot, debug, and upgrade existing systems
Participate in code reviews and contribute to engineering best practices
Stay up-to-date with emerging technologies and frameworks
Requirements
3+ years of experience in full stack development
Strong proficiency in JavaScript/TypeScript and modern frameworks (e.g., React, Next.js, Node.js)
Experience with backend technologies (e.g., Express, Python, Ruby, or Java)
Solid understanding of RESTful APIs and database systems (SQL/NoSQL)
Familiarity with cloud platforms (AWS, GCP, or Azure)
Experience with version control systems like Git
Strong problem-solving skills and attention to detail
Excellent communication skills and ability to work in a remote environment
Nice-to-Have
Experience with DevOps practices (CI/CD pipelines, Docker, Kubernetes)
Exposure to microservices architecture
Knowledge of testing frameworks (Jest, Cypress, etc.)
Previous experience working in SaaS or startup environments
Benefits
💰 Competitive salary based on experience and seniority
🌎 Fully remote role with flexible work environment
🚀 Work with innovative global companies in high-growth industries
📈 Long-term career growth and upskilling opportunities
🎯 Ownership of impactful projects and real product influence
🤝 Collaborative, international team culture
УдалённоBosnia and Herzegovina; Serbia; Georgia; Romania; Hungary; Croatia
Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic's Infrastructure organization is foundational to our mission of developing AI systems that are reliable, interpretable, and steerable. The systems we build determine how quickly we can train new models, how reliably we can run safety experiments, and how effectively we can scale Claude to millions of users — demonstrating that safe, reliable infrastructure and frontier capabilities can go hand in hand.
Cluster Infra owns the full lifecycle of compute clusters at Anthropic. We build agent-driven automation for cluster provisioning and lifecycle management across all major cloud providers and our own datacenters. Our systems stand up clusters that are interconnected with high bandwidth, secure-by-default, and able to automatically drain and recover in response to failure. As a Staff engineer on this team, you'll set the technical direction for how Anthropic brings compute online - at a moment when the scale of that compute is growing faster than at almost any company in the world.
Key responsibilities
Own the technical strategy and roadmap for agent-driven cluster lifecycle management - provisioning, updates and decommissioning
Partner across teams to ensure new compute capacity is ingested on time
Align with partner teams on physical build-out and leverage cloud solutions to deliver high-bandwidth inter-cluster connectivity
Collaborate with security owners to ensure clusters are provisioned secure-by-default
Define and drive strategy on cluster scalability, homogeneity and fault tolerance
Work closely with cloud providers and internal research, inference and product teams to shape long-term compute, data, and infrastructure strategy
Establish and evolve operational-excellence practices: incident response, postmortem culture and on-call health
Support the growth of engineers around you through technical mentorship and coaching
Minimum qualifications
Deep expertise in distributed systems, reliability, and cloud platforms (e.g., Kubernetes, IaC, AWS/GCP/Azure)
Strong proficiency in at least one systems language (e.g., Rust, Go, or Python), IaC proficiency with Terraform.
Track record of leading complex, multi-quarter technical initiatives spanning multiple teams or systems
Ability to build alignment across senior stakeholders and communicate effectively at all levels
Preferred qualifications
10+ years of software engineering experience, including time as a technical lead setting direction for a team
Experience operating large-scale compute infrastructure at hyperscale (100+ clusters, 10K+ nodes)
Depth in one or more of: Kubernetes internals, cluster provisioning and management systems, cluster orchestration systems (Mesos, Borg-like)
Experience with cloud networking: VPC design and peering, Shared VPC/Transit Gateway, Cloud Interconnect/Direct Connect, Cloud NAT, cross-cloud private connectivity, BGP and route control, edge load balancing and DDoS mitigation (Cloud Armor / AWS Shield)
Experience with cluster and host networking: CNI (Cilium), eBPF, NetworkPolicy, multi-NIC, sFlow, service mesh (Istio/Envoy/Linkerd, mTLS)
Experience with cluster security: pod security standards and admission control, RBAC and least-privilege IAM, node and container hardening, supply-chain/image provenance
Deep experience with infrastructure-as-code (Terraform, Atlantis), workflow orchestration (Temporal, Argo Workflows)
Skill in quickly understanding systems design tradeoffs and keeping track of rapidly evolving software 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:
$320,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Remote - Colombia ; Remote - Costa Rica ; Remote - Mexico
About Backblaze
Backblaze provides reliable, high-availability cloud storage trusted by consumers, SMBs, enterprises, and developers in over 150 countries. Backblaze B2 Cloud Storage supports data-intensive workloads including backup, media, analytics, and modern AI pipelines. Our teams focus on building secure, durable, scalable systems with a strong emphasis on application security from day one and protecting customers to keep them safe.
But while there is a lot to celebrate in our past, there is almost as much opportunity ahead of us.
About the Role
We are seeking an Application Security Engineer to improve application security across the software used to enable Backblaze B2 Cloud Storage and Computer Backup. The primary role is to build security into how the product is used, how data is stored and how customers can use it. This role will require development skills and application security knowledge to build security into the product and new features. Leveraging AI is key.
This is a hands-on role that requires application development knowledge. This role is expected to know and use the latest AI to help with both development and security. The primary requirements include; development in common web languages, application security and AI tool usage.
Leverage AI tools and software for
Building new and maintaining existing software security features
Meeting evolving software security needs in existing software
Developing new components as needed
Perform security assessments and code reviews on internal and external customer-facing applications
Work closely with engineers to remediate security vulnerabilities using AI tools
Develop security automation and tooling to improve security
Support bug bounty program and vulnerability handling
Investigate newly reported vulnerabilities
Determine ways to remediate them
Provide guidance to engineering based on known vulnerabilities found in existing applications
Understanding cryptography and secure authentication
Knowledge of cloud environments and security they provide
Support and develop on large software stack using
Apache Tomcat running across a large number of servers
JavaServer Pages (JSP) containing older features
Node/JavaScript developed features and pages
An architecture split among many different servers – supporting browsers and custom client software
Strong security knowledge across large software stacks running on multiple servers
Ability to reach out and learn about technologies or implementations as necessary
The Right Fit:
Application Development and Security knowledge
AI knowledge and experience using it for development & security
Understanding of: AI Frameworks and tooling, core web security, common web security flaws, coding agents
Strong understanding of OWASP Top 10 vulnerabilities
Experience with security testing tools such as:
SAST / DAST scanners
Fuzzing tools
Vulnerability scanners
Familiar with web technologies: HTTP, REST APIs, etc.
Experience with Web Applications, Cloud Systems and Linux Environments
Determining how new and old security needs can leverage AI workflows and integrations to improve them
AI Coding tools such as Gemini, Claude Code, ChatGPT, Cursor or others
Experience with programming languages such as: Java, JSP, JavaScript, TypeScript, Go, Python and C/C++
Why Backblaze
Build secure software used by companies worldwide
Work at the intersection of AI, data, and cloud storage
Collaborate with experienced engineering, security, product, and QA teams
Competitive compensation and benefits
Remote-first culture supporting work-life balance
At this point, we hope you're feeling excited about the job description you're reading. Even if you don't meet every requirement, we still encourage you to apply. Learning, developing, and growing are key parts of our culture. We're eager to meet people who believe in our mission and can contribute to our team in various ways. We want people to feel comfortable expressing their true selves and to come, stay, and do their best work here.
At Backblaze, we value being fair and good to our customers, partners, and employees. That’s why diversity, equity, and inclusion are at the core of our values. We are committed to fostering a workforce where all employees feel a sense of belonging regardless of race, ethnicity, nationality, gender, sexual orientation, age, religion, socio-economic status, ability, veteran status, and education. We believe that our dedication to cultivating a diverse workspace not only allows us to better serve our customers in over 175 countries but further reinforces our commitment to doing the right thing.
We are proud to be an Equal Opportunity Employer.
To understand more about the data we collect and process as part of your application, please view our
Backblaze Employee Privacy Notice
.
#LATAM
Location: Riyadh, Saudi Arabia
Müller’s Solutions is seeking a Senior Splunk Expert to lead the design, implementation, and management of Splunk solutions across our enterprise. In this role, you will be responsible for creating advanced data ingestion, search, and dashboard strategies to deliver actionable insights from complex datasets. You will collaborate with various teams to enhance our monitoring capabilities, improve security posture, and support data-driven decision-making.
Key Responsibilities:
Design, develop, and maintain Splunk infrastructure including indexers, search heads, and forwarders.
Create and optimize Splunk queries, dashboards, and reports to support business and operational needs.
Integrate data sources and ensure data quality and consistency within Splunk.
Implement and manage Splunk apps and add-ons to extend functionality.
Monitor Splunk environment health and perform troubleshooting and performance tuning.
Collaborate with security teams to implement Splunk for security information and event management (SIEM).
Develop automation scripts to streamline Splunk administration and data ingestion processes.
Provide training and support to end-users and other team members.
Stay current with Splunk updates, features, and best practices.
Requirements
Requirements:
Bachelor's degree in Computer Science, Information Technology, or a related field.
5+ years of experience working with Splunk in an enterprise environment.
Strong knowledge of Splunk architecture and components.
Proficiency in advanced Splunk Search Processing Language (SPL) and dashboard creation.
Experience integrating various data sources and managing large data volumes.
Experience with Splunk Enterprise Security and IT Service Intelligence is a plus.
Familiarity with scripting languages such as Python or Bash for automation.
Excellent analytical and problem-solving skills.
Strong communication skills and ability to collaborate across teams.
Benefits
Why Join Us:
Opportunity to work with a talented and passionate team.
Competitive salary and benefits package.
Exciting projects and innovative work environment.
Задачи:
— Создание и улучшение моделей компьютерного зрения для производственных задач.
— Разработка конвейеров обработки изображений для промышленных сред.
— Работа с камерами, освещением и системами сбора данных.
— Разработка решений для обнаружения дефектов и контроля качества.
— Развертывание и оптимизация моделей ИИ реального времени для периферийных/производственных сред.
— Сотрудничество с командами по продуктам и инженерии.
Требования:
— Опыт работы в компьютерном зрении: классификация, обнаружение аномалий, обнаружение/сегментация объектов.
— Уверенное владение Python + PyTorch / TensorFlow.
— Опыт работы с промышленными системами зрения (камеры, освещение, конвейеры изображений).
— Опыт обнаружения дефектов в производственных средах является большим плюсом.
— Опыт развертывания высокоточных моделей реального времени (edge / production) с акцентом на точность и надежность.
Условия:
— Удаленная работа из любой страны.
— Быстрорастущая компания с возможностями карьерного роста.
— Прямое влияние на продукт.
— Опционы компании в случае успешного сотрудничества.
Location: Vancouver, Canada; Houston, United States
Role:
As part of the System Engineering Department, the Flight Operations System Engineer will participate, and coordinate the work needed for the analysis, planning and definition of the constellation operations ConOps, and the preparations, testing and execution of the operations procedures.
Tasks:
The Satellite Flight-Operations engineer will perform and participate in the following tasks and activities, depending on the background and experience of the candidate.
Trade-off studies to design, develop and simulate the overall Satellite LEOP plan.
Development of Spacecraft In-Orbit Operations Procedures and oversight of their execution and associated trainings.
Development of Satellite Operation Manuals, test procedures and oversight of their execution and associated trainings.
Verification & Validation Matrices of the operations procedures for on-orbit commissioning, routine, and contingency operations of the mission.
Support In-Orbit Test (IOT), anomaly resolution + FDIR.
Support the Satellite Simulator Operation and script development.
Must haves
:
Bachelor’s degree in engineering in a relevant field
At least 10 years of relevant practical experience
Previous experience with LEO/MEO satellite systems.
Experience with automated satellite operations, especially design and IOT.
Systems Engineering experience in concepts of space and ground segment design, specification and integration, knowledge of Flight Software role in operations, Satellite Database Operations concept and telemetry structure concepts.
Experience creating or using models and/or simulation software.
Knowledge of Python or other scripting languages
Knowledge of Matlab
Knowledge of AG1's Systems Tool Kit (STK)
Complementary skills/knowledge
:
Previous experience in Constellation Operations
Development and testing of new automated operations
Knowledge of MS Excel, for the purposes of engineering analyses
Knowledge of requirements Management tools such as DOORS/Windchill/Jama
Demonstrated capability to efficiently work with little to no supervision
Strong written and verbal communications skills in English, knowledge of French will be considered favorably
Location: Vancouver, Canada; Houston, United States
Role:
As part of the System Engineering Department, the Flight Operations Engineer will participate, and coordinate the work needed for the definition, development and execution of the constellation operations, and the preparations, implementation, testing and verification of the operations procedures.
Tasks:
The Satellite Flight-Operations engineer will perform and participate in the following tasks and activities, depending on the background and experience of the candidate.
Trade-off studies regarding the design, develop and testing of the satellite/constellation operations procedures.
Development of Spacecraft In-Orbit Operations Procedures and oversight of their execution and associated trainings.
Development of Satellite Operation Manuals, test procedures and oversight of their execution and associated trainings.
Verification & Validation Matrices of the operations procedures for on-orbit commissioning, routine, and contingency operations of the mission.
Support In-Orbit Test (IOT), anomaly resolution + FDIR.
Support the Satellite Simulator Operation and script development.
Must haves:
Bachelor’s degree in engineering in a relevant field
At least 7 years of experience
Previous experience with
LEO/MEO SatOps
.
Experience with
automated satellite operations and IOT
Experience in
concepts of space and ground segment design, specification and integration, knowledge of Flight Software role in operations, Satellite Database Operations concept and telemetry structure concepts.
Knowledge in
Python
or other scripting languages
Complementary skills/knowledge:
AG1's Systems Tool Kit (STK)
Requirements Management tools such as DOORS/Windchill/Jama
Previous experience in Constellation Operations
The design, development and testing of new automated operations flows and scripts.
Experience creating or using models and/or simulation software.
Demonstrated capability to efficiently work with little to no supervision
Strong written and verbal communications skills in English, knowledge of French will be considered favorably
Location: Toulouse, France; United States; United Kingdom
The company provides full relocation support, including immigration assistance, and offers a relocation bonus upon arrival in Montreal. Selected candidates may work remotely during the initial months while their immigration process is being completed; however, the long-term expectation is for the individual to transition to onsite work in Montreal once relocation has been finalized.
Tasks summary:
Architecture Concept & Requirements
• Establish functional, performance, environmental and security requirements with mission
stakeholders & CONOPs.
• Translate requirements into clear payload performance parameters and maintain bidirectional
traceability throughout the project lifecycle.
• Establish with cybersecurity team payload‑specific requirements & embed resilience and
security by design.
Payload Architecture Definition
• Define the overall digital regenerative payload architecture (optical/RF ISLs, antenna arrays,
digitizers/ onboard processing, Feeder links, master reference oscillator & clock
synchronizations).
• Define Interface Control Documents (ICDs) with spacecraft bus, ground segment and payload
specific subsystems.
• Define high‑speed data‑bus I/F (Serdes, SpaceWire, SpaceFibre, Ethernet, CAN, fiber).
Trade‑Study & Technology Road‑Mapping
• Lead trade‑offs for technologies, ASIC/FPGAs/SoCs, high‑speed data‑bus, and on‑board
processing algorithms, PVT.
• Identify emerging technologies and incorporate them into the company’s long‑term roadmap.
System Modeling & Performance Simulation
• Build end‑to‑end models of the signal chain (optical/RF, analog/digital) using
MATLAB/Simulink, SystemView or Python‑based toolkits.
• Run Monte‑Carlo and tolerance analyses to verify gain, SNR, dynamic range, spectral
efficiency, G/T, EIRP and other key metrics.
• Optimize payload design and performance with operation with traffic models/CONOPs.
Simulation & Analysis
• Oversee performance simulations & analysis (Gain, Spurious, Linearity, SNR, dynamic range,
spectral efficiency, pointing, G/T, EIRP…etc.) and tolerance budgeting.
• Optimize Payload DC power budget with traffic & utilization models.
Hardware & Firmware
• Own system‑level specifications to hardware designers, review schematics, layouts, thermal &
mechanical interfaces.
• Oversee MODCODs selection and on‑board processing pipelines; define BIST, timing, latency
and deterministic behavior.
Cross‑Functional Coordination, Stakeholder & Program Interaction
• Communicate technical status, risk assessments and trade‑study results to senior
management and/or customers or partners.
• Act as the primary technical liaison with Electrical, Power, Structures, Thermal, Software,
Ground Segment and Mission Operations teams to resolve integration issues early.
• Support payload design authority in System design reviews and Mission Operations
hand‑over.
• Support B&P (Phase 0 & pre-phase A).
Integration & Verification (IVV)
• Author Payload Verification Master Plan covering unit‑test, subsystem‑test, payload‑level test,
environmental and electromagnetic compatibility (EMC) test campaigns.
• Define test‑automation framework set‑up, test‑case definition, results analysis and test‑report
certification.
Technical Leadership & Mentorship
• Mentor, guide junior engineers and interns.
• Act as technical liaison with customers, partners and external vendors
• Act as Continuous Improvement stakeholder
• Contribute to the company’s knowledge‑base, process enhancements, and standards development.
Configuration, Documentation & Standards Management
• Ensure all artefacts, analysis, software, deliverables and documentation are version controlled
in PLM environment.
• Chair design reviews (SRR, PDR, CDR, MRR/TRR…etc.).
• Support Technology Road‑Mapping & Innovation.
On Orbit & Operations Support
• Technical support to Mission Operations for routine payload health monitoring, contingency
handling and performance trending.
• Lead root‑cause investigations for on‑orbit anomalies; update design baselines and
lessons‑learned.
• Analyze on‑orbit telemetry, update filter parameters, and generate performance reports.
• Define SOOH and associated operator training.
Required Qualifications:
B.Sc. in Electrical Engineering, Aerospace or Physics (M.Sc. preferred) with 12 + years of digital
regenerative payload system design experience on LEO/MEO missions.
Comprehensive knowledge of digital regenerative communications, SDR, DSP, DVB RCS/SX
protocols, Modulation schemes, Class of Service, Networking, MPLS, 2G, 5G, NTN.
Strong technical writing ability (requirements, ICDs, test procedures, risk reports) and
presentation skills; comfortable interfacing with customers, suppliers and senior leadership.
Strong understanding of aerospace system engineering fundamentals.
Hands-on individual who can support systems integration processes and capability to test
systems and resolve problems.
Experience with Confluence and JIRA.
Demonstrated capability to efficiently work with little supervision.
Ability to distill complex problems to fundamentals to solve with analysis, similarity, or
creativity.
Demonstrate excellent written and oral communication skills in English; knowledge of French
will be considered an asset (Contact with clients outside Quebec and work on deliverables in
English).
Location: New York, NY
Workplace: OnSite
ABOUT THE COMPANY
Rain is the global stablecoin payments platform for enterprises, neobanks, platforms, developers, and AI agents. Our technology allows partners to move, store, and use stablecoins instantly and compliantly through global payment cards, rewards, on/offramps, wallets, and cross-border rails. As both a Visa and Mastercard Principal Member, Rain issues cards that work at more than 175 million merchant locations in over 220 countries and territories. Built natively for stablecoins and trusted by more than 100 organizations worldwide, Rain delivers secure, scalable infrastructure that makes money move freely and instantly around the world.
You will have the opportunity to deliver massive impact at a hypergrowth company backed by some of the top investors in fintech, crypto, and SaaS. In January 2026, we closed a $250M Series C led by ICONIQ, valuing Rain at $1.95B, with Sapphire Ventures, Dragonfly, Bessemer Venture Partners, Galaxy Ventures, FirstMark, Lightspeed, Norwest, and Endeavor Catalyst also participating. If you're curious, bold, and excited to help shape a borderless financial future, we'd love to talk.
OUR ETHOS
We believe in an open and flat structure. You will be able to grow into the role that most aligns with your goals. Our team members at all levels have the freedom to explore ideas and impact the roadmap and vision of our company.
ABOUT THE ROLE
Rain is hiring a Senior Product Data Analyst to be the analytical engine behind our product team. Payments and stablecoin infrastructure generate enormous, rich, and consequential datasets — authorization patterns, ledger movements, partner usage, cardholder behavior — and the decisions we make on top of that data shape the experience for our partners and millions of their end users.
This is a senior individual contributor role embedded directly with product. You'll partner with PMs, engineers, and partnerships leads to turn raw data into the sharpest possible product judgment: defining metrics, designing experiments, sizing opportunities, and pulling on the threads that reveal where the product is working and where it isn't. You'll set the analytical bar for the company and own the questions that matter most.
WHAT YOU'LL DO
• Partner with product leadership as the embedded analyst across cards, payments, and platform — defining the metrics, building the dashboards, and answering the questions that drive roadmap decisions
• Design and analyze experiments end to end — hypothesis, sizing, instrumentation, readout, and the prioritization decisions that follow
• Run deep-dive analyses on partner usage, activation, retention, and economics, and translate them into sharp, opinionated recommendations
• Own the metrics framework for product — what we measure, how we measure it, and what "good" looks like across each surface
• Build self-serve analytics, dashboards, and tooling that let the rest of the company answer their own questions, and raise the bar for data literacy across product
• Partner with data engineering on the underlying data model — how events, ledger entries, authorizations, and partner data should be shaped to support fast, trustworthy analysis
• Surface insights proactively — find the things no one thought to ask and bring them to the team with a clear point of view
WHAT WE'RE LOOKING FOR
• 5–8 years of analytics experience, with a track record of operating as the analytical partner to product teams shipping consumer or platform products at a product-led company with a strong engineering culture and high bar for quality
• Exceptional analytical rigor and product judgment — you're someone others describe as one of the sharpest analysts they've worked with, and you consistently raise the bar for the people around you
• A senior, autonomous operator who can scope the question, design the analysis, and own the recommendation without needing close direction
• Expert SQL and strong working fluency with at least one analytics scripting language (Python or R), modern data warehouses (Snowflake, BigQuery, Redshift, or similar), and BI/visualization tools (Lightdash preferred)
• Strong technical fluency — you can read product code, understand event schemas, and pull on technical threads yourself rather than defer to engineering
• Genuinely excited to live in the details — you believe correct, trustworthy data is won in the specifics and are energized by the work to get them right
• Excellent written and verbal communication; you can translate a complex analysis into a clear, opinionated recommendation that ships decisions
• Proven ability to design and run experiments, measure adoption, and iterate quickly in a fast-moving environment
NICE TO HAVE, BUT NOT MANDATORY
• Experience analyzing payments, card issuing, or cross-border fintech products
• Exposure to stablecoins, crypto, or on-chain data
• Previous startup or hypergrowth environment experience
• Experience standing up an analytics function from early days
ROLE DETAILS
• Individual contributor role (no direct reports)
• Hybrid schedule based in our New York City office
Things that enable a fulfilling, healthy, and happy experience at Rain:
Unlimited time off 🌴 Unlimited vacation can be daunting, so we require Rainmakers to take 10 days minimum for themselves.
Flexible working ☕ We support a flexible workplace – work from home, come into an office, or both. We want everyone to work in an environment where they're their most confident and productive selves. New Rainmakers receive a stipend to set up a comfortable home workspace.
Easy to access benefits 🧠 For US Rainmakers, we cover 95% of your health, dental, and vision plan costs and 90% for your dependents, plus a 100% company-subsidized life insurance plan.
Retirement goals💡 Plan for the future with confidence. We offer a 401(k) with a 4% company match.
Equity plan 📦 Every Rainmaker gets an equity option plan so we all benefit from our success.
Health and Wellness 📚 High performance begins from within. Rainmakers receive a monthly stipend to be used for eligible health and wellness spending like gym memberships/fitness classes, massages, acupuncture - whatever recharges you!
In-office meals 🍜 Rainmakers working from the office enjoy lunch and dinner on us, covered with a DoorDash credit.
Team summits ✨ Summits play an important role at Rain. Time together helps us build relationships and a common destiny. Expect team and company offsites, both domestic and international.
Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic's Infrastructure organization is foundational to our mission of developing AI systems that are reliable, interpretable, and steerable. The systems we build determine how quickly we can train new models, how reliably we can run safety experiments, and how effectively we can scale Claude to millions of users — demonstrating that safe, reliable infrastructure and frontier capabilities can go hand in hand.
Node Infra owns the full lifecycle of accelerator capacity at Anthropic. We ingest and provision compute from all major cloud providers and from datacenters custom-built for Anthropic, stand up and scale the clusters behind one of the industry's largest AI compute fleets, and build the health, diagnostics and repair automation that keep every GPU, TPU and Trainium node in the fleet usable and ready to power Anthropic's frontier AI research.
Key responsibilities
Own the technical strategy and roadmap for node lifecycle management - ingestion, bring-up, health checking, and automated repair
Drive cross-team initiatives to build and scale AI clusters across multiple clouds and accelerator families
Design and operate the systems that detect, isolate, and remediate unhealthy hardware automatically, driving up fleet MTBI and minimizing stranded capacity
Define infrastructure architecture, ensuring the hardest problems get solved - whether by you directly or by working through others
Work closely with cloud providers and internal research/inference/product teams to shape long-term compute, data, and infrastructure strategy
Establish and evolve operational excellence practices (incident response, postmortem culture, on-call)
Support the growth of engineers around you through technical mentorship and coaching
Minimum qualifications
Deep expertise in distributed systems, reliability, and cloud platforms (e.g., Kubernetes, IaC, AWS/GCP/Azure)
Strong proficiency in at least one systems language (e.g., Rust, Go, or Python), IaC proficiency with Terraform.
Hands-on experience with machine learning accelerators (GPUs, TPUs, or Trainium)
Track record of leading complex, multi-quarter technical initiatives that span multiple teams or systems
Ability to build alignment across senior stakeholders and communicate effectively at all levels
Preferred qualifications
10+ years of software engineering experience, including time as a technical lead setting direction for a team
Experience managing large scale compute infrastructure at hyperscale (10K+ nodes), including capacity management and efficiency
Depth in one or more of: Kubernetes internals (scheduler, autoscaler, kubelet, Karpenter), cluster orchestration systems (Mesos, Borg-like), or node provisioning pipelines
Low-level systems experience: kernel, virtualization, device drivers, firmware, or hardware health/diagnostics daemons
Familiarity with high-performance networking (EFA, RDMA, InfiniBand) for distributed ML workloads.
Demonstrated ownership of production reliability for high-throughput, latency-sensitive systems
Contributions to relevant open-source projects (Kubernetes, Linux kernel, container runtimes, etc.)
Skill in quickly understanding systems design tradeoffs and keeping track of rapidly evolving software 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:
$320,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
ОфисseniorValencia
УдалённоBeograd, Serbia; Live classes run around the clock across time zones, which sets the technical bar: low latency, high availability, and a backend that holds up at real scale; Fully remote work (core hours GMT+3)
УдалённоUnited Kingdom; Philippines; North Macedonia; Georgia; Albania; Serbia
УдалённоСтажёрCanada; San Francisco; Europe; London; United States; United Kingdom; Toronto; Montreal
Противоречивые условия: [ Fastwater Staffing ] Digital Payload Architect | Relocate to Montreal, Canada (Full Relocation Package); The company provides full relocation support, including immigration assistance, and offers a relocation bonus upon arrival in Montreal; Selected candidates may work remotely during the initial months while their immigration process is being completed; however, the long-term expectation is for the individual to transition to onsite work in Montreal once relocation has been finalized