Location: San Francisco, California
Workplace: Hybrid
WHO WE ARE
Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.
This is NOT a new grad role! This role is for candidates with 0-2 YOE and can start full time right away.
ABOUT THE ROLE
As an engineer at Notion, you’ll help shape core user experiences and accelerate how people discover value in Notion. You'll tackle meaningful challenges with increasing autonomy, crafting code that millions of users will experience. You'll take ownership of projects that matter, make critical technical decisions, and contribute your unique perspective to our product vision. Working alongside passionate experts across design, product, and data, you'll help shape the future of how people work.
We're looking for an Early Career AI Engineer to join as a strategic partner in shaping Notion's AI vision. You'll work on cutting-edge AI-powered features, leveraging LLMs, embeddings, and other AI technologies to make Notion more intelligent and capable.
This role may be aligned to one of multiple AI-focused teams at Notion. Depending on team match and business needs, you could work on:
- AI product engineering: building model-powered features end-to-end (UX, APIs, retrieval, orchestration, quality, and reliability)
- Model & systems engineering: improving model integration and performance (latency, cost, safety, robustness) and building the infrastructure that supports model serving and experimentation
- Evaluation & quality (evals): creating evaluation frameworks and automated/ human-in-the-loop testing to measure and improve model and product quality
WHAT YOU’LL ACHIEVE
- Partner with your team to prototype and ship an AI-powered product improvement
- Own a scoped productionization project: integrate a new model/technique into an existing workflow, add monitoring + guardrails, or improve latency/cost/reliability.
- Contribute to evals and iteration loops: build or extend an evaluation set, run experiments, analyze results, and translate learnings into product or system changes.
SKILLS YOU'LL NEED TO BRING
- You have less than two years of engineering experience. You have solid fundamentals in data structures, algorithms, and distributed systems, with a customer-minded, pragmatic approach to solving problems.
- Expertise building and prototyping: You’re excited to build and iterate quickly, and you’ve started exploring AI/ML through coursework, projects, internships, or hackathons. You’re comfortable learning how different parts of a product fit together (UI, APIs, data), have some familiarity with relational databases like Postgres or MySQL, and can take an idea from prototype to a working feature with guidance.
- Thoughtful problem-solving: You approach problems holistically, starting with a clear and accurate understanding of the context. You think about the implications of what you're building and how it will impact real people's lives. You can navigate ambiguity successfully, decompose complex problems into clean solutions, while also balancing the business impact of what you’re building.
- Impact-driven approach to technology: You see technologies as tools to achieve user impact rather than ends in themselves. You care more about building successful systems that solve real problems than about using specific tech stacks or following trends. You stay current with the latest tools like Cursor, Claude Code, and other AI-assisted development environments, you're pragmatic about choosing the right tool for the job, focusing on what delivers the most value to users and the business.
- Proactive communication and high agency: You own your work, communicating clearly about progress and blockers. You don't wait for instructions for every step but rather show initiative in identifying what needs to be done and driving projects forward. You ask questions when needed while independently finding solutions to problems.
NICE TO HAVES
- You have experience with any part of our technology stack: React, TypeScript, Node.js, Postgres, and Elasticsearch.
- You care about the interaction between technology and society, the ways in which they inform each other, and our responsibility as technologists to be conscious of that relationship.
- You've heard of computing pioneers like Ada Lovelace, Douglas Engelbart, Alan Kay, and others—and understand why we're big fans of their work.
Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco and New York, the estimated base salary range for this role is $130,000-$150,000.
By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21
#LI-Onsite
A NOTE ON AI
You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.
EQUAL OPPORTUNITY & ACCOMMODATIONS
We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
Location: San Francisco, California
WHO WE ARE
Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.
This is NOT a new grad role! This role is for candidates with 0-2 YOE and can start full time right away.
ABOUT THE ROLE
As an Early Career Software Engineer at Notion, you’ll help shape core user experiences and accelerate how people discover value in Notion. You'll tackle meaningful challenges with increasing autonomy, crafting code that millions of users will experience. You'll take ownership of projects that matter, make critical technical decisions, and contribute your unique perspective to our product vision. Working alongside passionate experts across design, product, and data, you'll help shape the future of how people work.
We’re hiring early career engineers to join us across several teams at Notion. Your recruiter will partner with you to find the team that aligns best with your interests and where you can make the highest impact.
WHAT YOU’LL ACHIEVE
- Plan, build, and ship product features from conception to launch, then iterate based on insights and customer feedback.
- Improve performance, reliability, and quality of key experiences used by millions of users and thousands of organizations.
- Run experiments that drive activation, retention, collaboration, and revenue, partnering with design, data science, and research.
- Build internal tools and platform improvements that help all engineers ship quickly and safely.
- Contribute to team norms, code quality, and a culture of learning and thoughtful tradeoffs.
AREAS YOU MIGHT WORK ON
- Acquisition: Landing pages, signup/auth flows, pricing + plan selection, workspace creation, invitations during onboarding, and experiments that improve conversion and time-to-value.
- Adoption / Activation: In-product education, templates, reminders, onboarding tours, lifecycle nudges, and measurement frameworks that increase depth of use, retention, and habit formation.
- Experimentation & Measurement (cross-cutting): A/B testing infrastructure, analytics event quality, dashboards, and iteration loops that let teams learn quickly and ship confidently.
SKILLS YOU'LL NEED TO BRING
- You have less than two years of engineering experience. You have solid fundamentals in data structures, algorithms, and distributed systems, with a customer-minded, pragmatic approach to solving problems.
- Thoughtful problem-solving: You approach problems holistically, starting with a clear and accurate understanding of the context. You think about the implications of what you're building and how it will impact real people's lives. You can navigate ambiguity successfully, decompose complex problems into clean solutions, while also balancing the business impact of what you’re building.
- Impact-driven approach to technology: You see technologies as tools to achieve user impact rather than ends in themselves. You care more about building successful systems that solve real problems than about using specific tech stacks or following trends. You stay current with the latest tools like Cursor, Claude Code, and other AI-assisted development environments, you're pragmatic about choosing the right tool for the job, focusing on what delivers the most value to users and the business.
- Proactive communication and high agency: You own your work, communicating clearly about progress and blockers. You don't wait for instructions for every step but rather show initiative in identifying what needs to be done and driving projects forward. You ask questions when needed while independently finding solutions to problems.
NICE TO HAVES
- You have experience with any part of our technology stack: React, TypeScript, Node.js, Postgres, and Elasticsearch.
- You care about the interaction between technology and society, the ways in which they inform each other, and our responsibility as technologists to be conscious of that relationship.
- You've heard of computing pioneers like Ada Lovelace, Douglas Engelbart, Alan Kay, and others—and understand why we're big fans of their work.
Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated salary range for this role is $130,000 - $150,000
By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21#LI-Onsite
A NOTE ON AI
You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.
EQUAL OPPORTUNITY & ACCOMMODATIONS
We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic's Research Productivity organization builds the infrastructure and systems that accelerate research across Anthropic, including the tools that help our research process get faster and more effective over time. We're looking for an experienced software engineer to join us as we scale this infrastructure at a moment when both demand and scope are growing extremely quickly.
This team operates like a startup within a startup. You'll be a strong fit if you like thinking from first principles, iterating fast on infrastructure, and tackling reliability and scalability challenges head-on as the products built on top of your systems evolve underneath you.
You'll independently scope complex, multi-month projects, drive cross-org alignment through ambiguous problem spaces, and make the architectural decisions that shape how the infrastructure behind our research tooling gets built. You'll partner directly with research teams to understand their workflows, anticipate how their requirements will change, and design and scale infrastructure that can keep pace.
Responsibilities
Design, build, and scale infrastructure and systems that support rapidly increasing usage, where requirements and workload continue to evolve as the products built on top of them evolve
Independently scope and lead complex, multi-month engineering projects, from an ambiguous starting point through to a production system
Drive cross-organizational alignment on technical direction, working through ambiguous problem spaces with multiple stakeholders and teams
Make architectural decisions that shape the foundation of research infrastructure and tooling across Anthropic
Partner directly with researchers to deeply understand their workflows, then anticipate and design for how those needs will change
Iterate quickly, favoring pragmatic, first-principles solutions and fast feedback loops over heavy upfront design
Take ownership of the reliability and scalability of critical systems as load, usage, and complexity increase
Help set technical standards and best practices for the team, and mentor other engineers
Minimum Qualifications
Experience designing, building, and operating large-scale distributed systems or infrastructure in production
A track record of independently scoping and delivering complex, ambiguous, multi-month technical projects
Strong software engineering fundamentals and hands-on coding ability
Experience making architectural decisions that other engineers and teams build on top of
Strong written and verbal communication skills, with experience driving alignment across multiple teams or stakeholders
Demonstrated ability to operate effectively in ambiguous, fast-changing environments
Strong candidates may also have
Experience building infrastructure or platforms specifically for research or machine learning workflows
Direct experience navigating the reliability and architectural challenges that come with rapidly scaling systems
Experience with distributed systems, cloud infrastructure, and infrastructure-as-code
Familiarity with the compute, tooling, and workflow needs of large-scale machine learning research
Experience operating in a startup or startup-like environment, i.e. a small, fast-moving team with high autonomy
Prior experience as a technical lead or mentor for other engineers
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:
$405,000
—
$625,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Lemont, United States
Workplace: none
As an
Enterprise Sales Executive
, you will lead our efforts to build strong relationships with large logistics organizations and close high-value deals for our cutting-edge TMS platform. This is an outstanding opportunity for a driven sales professional with a passion for logistics technology and a proven track record of enterprise software sales success.
Key Responsibilities in SaaS and TMS Sales
Business Development:
Identify, target, and engage enterprise-level logistics organizations. Build and manage a strong pipeline of qualified prospects in the transportation and supply chain industry.
Solution Selling:
Effectively position and present Spotter’s TMS and logistics software solutions to decision-makers, addressing specific pain points and delivering tailored product demonstrations.
Enterprise Relationship Management:
Develop deep relationships with C-level executives and key stakeholders, understanding their business needs and long-term logistics strategy.
Lead the Sales Cycle:
Own the sales process from initial outreach to contract negotiation and closing, collaborating closely with technical, product, and customer success teams.
Market Intelligence:
Stay current on transportation software competitors, logistics technology trends, and customer needs to inform sales strategy and market positioning.
Meet and Exceed Targets:
Consistently achieve or surpass assigned revenue goals to contribute to the growth of Spotter’s enterprise client portfolio.
Required Qualifications for Logistics Software Sales
Enterprise Sales Experience:
2+ years of proven success selling SaaS, logistics technology, TMS, or related enterprise software solutions to the transportation or supply chain sector.
Technical Acumen:
Comfort discussing software product features, integrations, and logistics process automation with both business and technical audiences.
Consultative Selling Skills:
Demonstrated ability to identify unique customer needs and customize solutions to win enterprise accounts.
Communication & Presentation:
Excellent verbal and written communication skills. Skilled at delivering engaging product demos and proposals to diverse audiences.
CRM Proficiency:
Experience managing opportunities and reporting progress using CRM platforms.
Preferred Skills and Industry Knowledge
Deep understanding of transportation management systems (TMS), logistics software, and supply chain processes.
Knowledge of industry challenges, regulatory environment, and trends in digital transformation for logistics.
Strong negotiation, stakeholder management, and strategic account planning capabilities.
Experience selling into trucking, brokerage or shipping is a plus.
Why Join Spotter’s TMS Sales Team?
Market-Leading Product:
Represent a best-in-class TMS and logistics software platform that is shaping the future of transportation technology.
Growth and Advancement:
Be part of a rapidly expanding company with significant opportunities for career advancement.
Innovative Culture:
Join a collaborative, tech-driven team committed to making an impact in the logistics industry.
Location: Hong Kong, Hong Kong SAR
OKX will be prioritising applicants who have a current right to work in Hong Kong, and do not require OKX's sponsorship of a visa.
Please note that Hong Kong is a group-level service hub, and OKX does not carry on a business of operating a virtual asset trading platform in Hong Kong.
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er.
OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About The Opportunity
We are looking for a Staff Mobile Security Engineer to join our Mobile Security team, where you will play a key role in identifying and mitigating security vulnerabilities across OKX's mobile applications and platforms. This is a high-ownership role at the intersection of offensive security, mobile engineering, and platform protection — you will work closely with development, operations, and compliance teams to ensure security is embedded at every layer of our mobile stack.
You bring deep expertise in mobile application security, offensive techniques, and secure coding practices. You are also fluent in AI-assisted development and bring the discipline to build, maintain, and continuously improve your own AI engineering workflows.
What You'll Be Doing
Identify and address security vulnerabilities in mobile code, systems, and networks through manual review, automated tooling, and threat modelling.
Manage and optimise application security tools, processes, and alerts to maintain a strong security posture.
Validate and respond to Bug Bounty submissions, triaging findings and coordinating remediation with engineering teams.
Produce detailed security findings reports and present them to both technical and management audiences, contributing to real-world attack prevention.
Collaborate with development teams to implement and champion secure coding practices across iOS and Android platforms.
Apply AI tools to accelerate security research, automate vulnerability detection workflows, and improve the efficiency of threat analysis.
Work alongside operations and compliance teams to ensure security is a consistent priority across the organisation.
Participate in incident response and management activities.
Stay current on the latest offensive security techniques, application security threats, and industry best practices.
What We Look For In You
5+ years of experience in mobile application security or offensive security, with hands-on expertise in iOS and/or Android platforms.
In-depth understanding of security risks, vulnerabilities, and concepts in mobile and web applications.
Proficient in code review across Kotlin, Swift, TypeScript, or JavaScript, with a strong grasp of application security threats.
Able to create proof-of-concepts (PoCs) to demonstrate vulnerabilities, review patch code for adherence to standards, and collaborate with repository owners on remediation.
Actively uses AI tools in your security engineering workflow — including building AI-leveraged workflows and codifying repeatable agent skills so tools like Claude Code or Codex deliver reliably on real production work.
Strong analytical and problem-solving abilities with excellent verbal and written communication skills.
Nice-To-Haves
Prior experience developing mobile security SDKs at scale — products with a daily active user base of over ten million.
Experience in large-scale business risk control projects, or practical experience in threat intelligence, business risk prevention, and countermeasures against black and grey industries.
In-depth reverse engineering of major apps from first-tier vendors, or other projects that demonstrate strong reverse engineering capabilities.
Proficiency in ARM assembly, with the ability to implement deep-level countermeasures at the native and application layers.
Experience with device fingerprint recognition — including simulating new devices through methods such as flashing, modification, and application cloning.
Ability to work across multiple mobile platforms simultaneously.
Perks & Benefits
Competitive total compensation package
L&D programs and Education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
#LI-ML1 #LI-ONSITE
Please note that Hong Kong is a group-level service hub, and
OKX
does not carry on
a business of
operating a virtual asset trading platform in Hong Kong.
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. They are trusted by 300+ million people in 100+ countries for their industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. They leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world.
Задачи:
— Присоединиться к полному жизненному циклу разработки программного обеспечения, включая сбор требований, проектирование, кодирование, тестирование и развертывание.
— Проектировать и реализовывать масштабируемые и надежные системы на базе Java.
— Сотрудничать с командами для определения системных требований и архитектурных решений.
— Разрабатывать и оптимизировать инфраструктурные компоненты, такие как базы данных, серверы и сети.
— Внедрять автоматизированные решения для развертывания и мониторинга для повышения надежности системы.
— Выявлять и устранять узкие места в производительности и системные проблемы.
— Реализовывать техники кэширования, балансировки нагрузки и оптимизации.
— Поддерживать полную документацию, связанную с архитектурой системы и процессами развертывания.
— Мониторить состояние системы, устранять неполадки и внедрять обновления для обеспечения бесперебойной работы.
Требования:
— Степень бакалавра/магистра в области компьютерных наук, инженерии или эквивалентный опыт в индустрии.
— 1-6 лет практического опыта работы с JVM и экосистемой Java.
— Владение MySQL и знакомство как минимум с одной NoSQL базой данных.
— Знание проектирования распределенных систем и знакомство как минимум с одним посредником сообщений и принципами его проектирования.
— Способность справляться со стрессом и быстро усваивать новые знания.
— Хорошие навыки межкомандного общения.
УдалённоmiddleREMOTE GLOBAL (ASIAN TIMEZONE) | BINANCE Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users
Задачи:
— Руководство командой Algorithmic Pricing и поддержка личного и карьерного роста инженеров.
— Обеспечение высокой надежности и низкой задержки системы, управляющей стоимостью доставки в более чем 60 странах.
— Сотрудничество с продуктовыми командами для технического направления и проектирования итеративных решений.
— Ответственность за технические метрики, KPI, мониторинг и оповещения команды.
— Контроль выполнения функционала в небольших, ориентированных на ценность итерациях.
Требования:
— Подтвержденный опыт технического руководства и управления, согласованного с бизнес-целями.
— Глубокое понимание JVM-технологий (Java/Kotlin).
— Опыт работы с микросервисами, API-ориентированными и событийно-ориентированными коммуникациями.
— Знание инфраструктуры как кода (IaaC), в частности Kubernetes и AWS.
— Опыт управления кросс-функциональными командами и зависимостями.
Будет плюсом:
— Знакомство с A/B тестированием.
— Опыт в области ценообразования.
— Способность активно поддерживать младших разработчиков.
Условия:
— Гибридный формат работы с обязательным присутствием 2 дня в неделю в офисе в Берлине.
— 27 дней отпуска с дополнительными днями в зависимости от стажа.
— Бюджет на образование €1,000 и доступ к Udemy Business.
— Медицинские обследования, медитация, абонементы в спортзал и субсидии на велосипед.
— Программа покупки акций сотрудниками, корпоративный пенсионный план, страхование жизни и от несчастных случаев.
— Полная поддержка при переезде в Берлин.
ГибридseniorManager, Software Engineering (Java/Kotlin) | RELOCATION TO BERLIN | Delivery Hero #relocation to #berlin #fulltime #itjob #manager https://teletype.in/@courierus/LEvxyVW2KXH; RELOCATION BERLIN Location: Hybrid (Berlin, Germany) - requires presence in the Berlin campus 2 days a week ; Relocation support is available; Comprehensive relocation support for moving to Berlin
Задачи:
— Разрабатывать надежные backend-системы и проектировать масштабируемые data pipelines и решения для хранения данных, поддерживающие сложный сбор, обработку и анализ данных.
— Владеть полным жизненным циклом продуктов: от бизнес-требований, выбора технологий, стандартов кодирования, agile-разработки, юнит- и интеграционного тестирования, CI/CD до мониторинга.
— Повышать производительность систем, создавая стабильные, масштабируемые и высокопроизводительные решения для финансовой сферы.
— Писать качественный код и помогать другим писать качественный код, наставлять команду и более широкий круг.
— Сотрудничать с другими командами и отделами.
— Вдохновлять инновации и реализовывать видение компании.
— Способствовать межфункциональному сотрудничеству для достижения целей продукта и технологий.
— Участвовать в подборе и адаптации талантливых сотрудников.
Требования:
— Опыт 8+ лет с сильными навыками в Java, Kotlin, Scala или C# и доказанным опытом разработки высокопроизводительных приложений в продакшене.
— Опыт работы с big data технологиями, такими как Hadoop, фреймворками для обработки в реальном времени (например, Apache Spark), продвинутые знания SQL и архитектуры данных.
— Системное мышление: понимание крайних случаев, режимов отказа и жизненных циклов.
— Метрики и принятие решений на основе данных.
— Страсть к разработке ПО и постоянное совершенствование навыков.
— Опыт работы по Scrum/Agile.
— Отличные навыки устного и письменного английского.
— Опыт операционного совершенства, понимание метрик, алармов и дашбордов.
— Приветствуется опыт работы в современной FinTech или платежной организации.
— Знания в области финансовой сверки, отчетности, налогов, методов выплат, таких как виртуальные кредитные карты или клиентские платежи.
— Практический опыт с технологиями Spark для обработки данных, ETL для data pipelines и системами очередей (Kafka, RabbitMQ).
— Опыт работы с инфраструктурными инструментами, такими как GitLab для контроля версий и CI, Kubernetes.
— Опыт разработки, поддержки и отладки крупномасштабных распределенных систем.
— Опыт руководства проектами, инициативами и/или командами с полной ответственностью за системы.
Условия:
— Работа в офисе в Бангкоке, Таиланд.
— Предоставляется релокация.
ОфисseniorSTAFF SOFTWARE ENGINEER | RELOCATION TO THAILAND | AGODA #relocation to #thailand #fulltime #itjob #backend #fintech https://teletype.in/@courierus/tMXJjRO4h8e; RELOCATION TO THAILAND | SUPPORTED At Agoda, we bridge the world through travel; Insightful experience with big data technologies like Hadoop, real-time processing frameworks (e.g., Apache Spark), and advanced knowledge of SQL and data architecture Thinks in systems: their edge cases, failure modes, and life cycles Uses a metrics driven approach and can make informed decisions using data You are passionate about the craft of software development and constantly work to improve your knowledge and skills Experience with Scrum/Agile development methodologies Excellent verbal and written English communication skills Experience with operational excellence and a deep understanding of metrics, alarms and dashboards It’s Great If You Have Experience working in a modern FinTech or Payments organization Domain knowledge in any of these areas: financial reconciliation, financial reporting, tax, payout methods like virtual credit cards or customer payments Hands-on experience working with technologies like Spark for data processing, ETLs for data pipelines and queueing systems (Kafka, RabbitMQ) Core engineering infrastructure tools like GitLab for source control and Continuous Integration, Kubernetes Experience developing, maintaining and debugging large-scale distributed systems Experience in leading projects, initiatives and/or teams, with full ownership of the systems involved This position is based in Bangkok, Thailand (Relocation Provided) APPLY
Location: Remote - Canada
We’re introducing Rust where correctness, performance, and reliability truly matter.
Narvar
is Growing! Narvar is a multi-language platform, and we’re intentional about where we apply Rust. We’re looking for senior engineers to help us
bring Rust into the backbone of the system
— the parts that must be fast, safe, and correct under real-world scale.
This role is for engineers who want agency: people who enjoy identifying the right problems, choosing the right tools, and owning systems end-to-end. You won’t be handed a narrow ticket queue. You’ll help decide
what
gets built and
how
it should be built.
For this role, you should be located in Canada and able to work within EST/EDT or PDT/PST hours. We are fully remote.
Day-to-day
Design and build
high-correctness Rust services
that sit on critical platform paths
Introduce Rust into areas where safety, determinism, and performance are essential
Own systems from
architecture → implementation → rollout → operations
Make real decisions around concurrency, async boundaries, data integrity, and failure modes
Work across service boundaries in a
polyglot environment
(Rust alongside other stacks)
Collaborate with product, design, and frontend engineers to build systems that are technically sound
and
product-aware
Improve reliability, observability, and system behavior through design, not just patching
Mentor other engineers and raise the bar on system quality and ownership
What We’re Looking For
We care more about
judgment and ownership
than credentials.
You’re likely a strong fit if you:
Have built and operated
distributed systems
in production
Have
deep hands-on Rust experience
(not just experiments or side projects)
Understand where Rust shines — and where it doesn’t
Are comfortable reasoning about
concurrency, async systems, and correctness guarantees
Have experience designing APIs and data contracts that evolve safely over time
Have worked with
relational and/or NoSQL databases
at scale
Have deployed and operated services in
AWS or GCP
(We are a GCP Shop though!)
Take initiative naturally and are comfortable operating with ambiguity
Communicate clearly and make tradeoffs explicit
Bonus Points
These aren’t hard requirements, but strong indicators:
You’ve worked in
startup or high-ownership environments
You’ve owned systems in production, including on-call responsibility
You’re comfortable moving across the stack when needed (backend-first, full-stack aware)
You’ve influenced architecture by earning trust, not by mandate
You use modern tooling (including AI-assisted workflows) to
increase leverage
, not outsource thinking
(Note: we care about outcome and judgment, not how flashy your tools are.)
Why Rust at Narvar?
Because some parts of the system deserve stronger guarantees.
We use Rust where:
Bugs are expensive
Latency and throughput matter
Safety and correctness are non-negotiable
You’ll help define
where Rust belongs
, not just write Rust in isolation.
Why Narvar (From an Engineer’s Perspective)?
Real scale, real customers, real impacts
Startup-level ownership with platform-level impact
Teams that value
thinking, judgment, and responsibility
Low ego, high trust, and room to do your best work
Why Narvar?
We're on a mission to simplify the everyday lives of consumers. Post-purchase is a critical phase of the customer journey. That's why we created Narvar - a platform focused on driving customer loyalty through seamless post-purchase experiences that allow retailers to retain, engage, and delight customers. If you've ever bought something online, there's a good chance you've used our platform!
From the hottest new direct-to-consumer companies to retail’s most renowned brands, Narvar works with GameStop, Neiman Marcus, Sonos, Nike, and 1300+ + other brands. With hubs in San Francisco, Atlanta, London, and Bangalore, we've served over 125 million consumers worldwide across 10+ billion interactions, 38 countries, and 55 languages.
Pioneering the post-purchase movement means navigating into the unknown. Our team thrives on this sense of adventure while nurturing a mindset of innovation. We're a home for big hearts and we leave our egos at the door. We work hard but we always make time to celebrate professional wins, baby showers, birthday parties, and everything in between.
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, or disability status.
#LI-Remote
Please read our
Privacy Policy
to learn what personal information we collect in connection with your job application, and how we may use and share it.
Задачи:
— Развивать и улучшать основную платформу.
— Улучшать опыт разработчиков, обновляя внутренние библиотеки и фреймворки.
— Вносить вклад в платформу event store.
— Участвовать в разработке внутренних open-source библиотек.
Требования:
— Свободное владение Java.
— Опыт backend-разработки не менее 6 лет.
— Опыт работы с распределёнными системами и CI/CD.
— Высшее образование в области компьютерных наук, математики, физики или смежных областях.
— Умение эффективно работать в команде в динамичной среде.
— Свободное владение английским языком на уровне C1.
Будет плюсом:
— Владение Kotlin или Scala.
— Опыт работы в финансовой сфере.
— Опыт работы в стартапах или масштабируемых компаниях.
— Практический опыт работы в продуктовой среде.
Условия:
— Работа в мультикультурной команде.
— Компания сертифицирована как Great Place to Work™.
— Приверженность разнообразию и инклюзивности.
— Возможность работать из офисов или удалённо в указанных европейских странах.
Процесс найма:
— Откликаться только через официальные каналы Revolut.
— Проверять, что все коммуникации приходят с домена @revolut.com.
— В процессе найма не запрашивается оплата или личная финансовая информация.
Location: Paris
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
The Role
As a Backend Engineer on the Engineering team, you will build the core systems that power our AI platform. Our team develops the backend infrastructure and APIs that enable Studio, Vibe, and Vibe Code, shaping how millions of users and developers interact with our technology. Your work will directly affect the reliability, performance, and scalability of our products.
We focus on creating robust, high-performance systems that support authentication, billing, AI tooling, and developer experience. By joining us, you will contribute to a platform that enables both internal teams and external users to build and deploy AI applications.
What You Will Do
- Design, develop, and maintain scalable backend features and APIs that power our AI platform.
- Ensure high performance and reliability across distributed systems serving millions of users.
- Build and improve systems for authentication, billing, AI tooling, and developer experience.
- Design and implement secure, scalable architectures to support our growing products.
- Collaborate with infrastructure teams on deployment, monitoring, and performance optimization.
- Write clean, maintainable, and well-documented code.
- Partner with cross-functional teams to deliver end-to-end features.
- Solve complex engineering challenges and integrate new technologies into production.
What We're Looking For
- Experience designing and building scalable backend systems and APIs.
- Strong problem-solving skills and ability to tackle complex engineering challenges.
- Experience with distributed systems and performance optimization.
- Ability to write clean, maintainable, and well-documented code.
- Experience with system architecture and secure, scalable design.
- Strong collaboration skills and ability to work with cross-functional teams.
- Experience with modern backend frameworks and technologies.
- Eagerness to learn, iterate, and deliver products.
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Задачи:
— Присоединиться к команде, отвечающей за облачное подключение, безопасность и управление парком устройств Hue Bridge.
— Участвовать в разработке новой инфраструктуры IoT совместно с облачными инженерами.
— Разрабатывать, тестировать и интегрировать программные компоненты Hue Bridge для встроенного Linux.
— Улучшать пользовательский опыт и операционные расходы на основе данных с устройств.
— Изучать и внедрять инновации в практики и процессы разработки.
— Исследовать возможности полного стека разработки IoT программного обеспечения, от устройств до облака.
— Разрабатывать с использованием различных языков программирования: C, C++, Bash, Python, C#, Go.
Требования:
— Сильные навыки проектирования программного обеспечения и способность создавать простые, надежные и элегантные системы.
— Опыт работы с подключением, сетями и IoT.
— Знания и опыт в области сетевой безопасности.
— Знания и опыт в разработке продуктов, основанных на данных.
— Глубокие знания и опыт работы с C и/или C++ и Linux (OpenWRT и/или Yocto); Rust и/или Python приветствуются.
— Готовность изучать новые среды разработки, языки и платформы.
— Хорошее знание английского языка.
— Умение работать в команде, проактивность.
Условия:
— Зарплата в долларах США.
— Медицинская страховка и покрытие спортивных активностей.
— 26 дней отпуска.
— 100% оплата больничных.
— 3 дня больничного в год.
— Тренинги и практика обмена знаниями.
— Корпоративная культура с ориентиром на людей.
Location: Canada (Remote)
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at
grafana.com
and follow us on
LinkedIn
and
X
.
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
Staff Backend Engineer - Adaptive Telemetry, Databases
This is a remote position. We are looking for candidates in the Canadian time zones.
What is Grafana Cloud?
Grafana Cloud is our composable observability platform that integrates metrics, logs, traces, and profiles with Grafana. It allows our customers to leverage the best open source observability software – including Prometheus, Mimir, Loki, Tempo, and Pyroscope – without the overhead of installing, maintaining and scaling their own observability stack.
The Databases department owns and operates the telemetry databases that are
Mimir for metrics
,
Loki for logs
,
Tempo for traces
, and
Pyroscope for profiles
. We offer our databases as a Cloud service supporting Grafana Cloud.
Adaptive Telemetry Group
The Adaptive Telemetry group, part of the Databases department, has the mission of ensuring that all telemetry stored in our databases is worthy of attention. Under that mission, the group is responsible for the development of
Adaptive Metrics
,
Adaptive Logs
,
Adaptive Traces
and Adaptive Profiles.
Our Adaptive Telemetry solutions give users the ability to control and optimize their telemetry data. These solutions ensure that data storage is optimized based on individual usage patterns, so only the most valuable data is retained.
As a company we are remote-first and global, we embrace people of different experiences and backgrounds to build diverse teams where every person brings a new perspective to the software.
What will you be doing:
Drive technical strategy and roadmap.
Proactively define the architectural vision, prioritize work that unlocks major product or platform improvements, and influence product and engineering decisions.
Lead end-to-end delivery of large, cross-functional projects.
Own planning, design, execution, rollout and long-term operation of large initiatives.
Own architecture, reliability, performance and cost for critical systems.
Make pragmatic architecture choices that balance scalability, availability, latency and cost while ensuring systems remain maintainable and evolvable.
Define SLOs/SLIs and lead incident response.
Establish measurable reliability targets, run high-severity incident response, lead blameless post-mortems, and drive systemic fixes and automation to prevent recurrence.
Improve observability, automation and operational readiness.
Champion telemetry, alerting, runbooks, capacity planning and automation efforts that reduce toil, speed debugging and lower MTTR.
Align stakeholders and remove blockers.
Coordinate across Product, Design and other teams to align priorities, negotiate tradeoffs, and unblock delivery for large initiatives.
Mentor and grow engineering talent.
Coach senior and mid-level engineers, lead design reviews, raise engineering standards, and help teammates make sound technical tradeoffs.
Represent engineering internally and externally.
Communicate technical strategy clearly to non-engineering stakeholders and represent the team in cross-team planning.
We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google.
What makes you a great fit:
You are a motivated self starter with a bias towards action. You are customer focused. We build everything with our users in mind. You have a passion for creating intuitive products that fit customers’ needs
Proven delivery of large distributed systems.
Experience shipping and operating complex systems that span multiple teams, with clear evidence of technical leadership and impact.
Strong systems-design instincts.
Deep understanding of tradeoffs around latency, consistency, availability, scaling and cost.
Hands-on cloud and platform experience.
Solid experience with cloud-native architectures (microservices, containers/Kubernetes, IaC) and the operational practices that keep them healthy.
Reliability and performance ownership.
Comfortable defining SLOs/SLIs, doing capacity planning, tuning performance, and driving reliability work end-to-end.
Excellent coding and design skills.
You write clear, maintainable, well-tested code and can lead technical designs — we use Go, but Python/C/C++/Rust or similar translate well.
Comfort with AI-assisted development.
We embrace AI and agentic development so we expect you to be curious and comfortable using AI-powered developer tools and ideally have practical experience folding them into a team’s workflow.
Experience with messaging and telemetry.
Familiarity with streaming/messaging systems (e.g., Kafka) and observability tooling (Prometheus/Grafana or equivalents).
Influence without authority.
Ability to align cross-functional stakeholders, set priorities and drive outcomes in a remote-first environment.
Strong communicator.
Clear written and verbal communication that works across engineers and non-technical stakeholders.
Compensation & Rewards:
In Canada, the Base compensation range for this role is CAD
192,891
- CAD
231,469
. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed
here
.
Compensation ranges are country-specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
*Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture -
As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization
– Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication
– Expect open decision-making and regular company-wide updates.
Innovation-Driven
– Autonomy and support to ship great work and try new things.
Open Source Roots
– Built on community-driven values that shape how we work.
Empowered Teams
– High trust, low ego culture that values outcomes over optics.
Career Growth Pathways
– Defined opportunities to grow and develop your career.
Approachable Leadership
– Transparent execs who are involved, visible, and human.
Passionate People
– Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding
- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key
- We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
*We will comply with local legislation where applicable.
Equal Opportunity Employer:
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our
privacy policy
.
Location: United States (Remote)
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at
grafana.com
and follow us on
LinkedIn
and
X
.
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
Staff Backend Engineer - Adaptive Telemetry, Databases
This is a remote position. We are looking for candidates in the USA time zones.
What is Grafana Cloud?
Grafana Cloud is our composable observability platform that integrates metrics, logs, traces, and profiles with Grafana. It allows our customers to leverage the best open source observability software – including Prometheus, Mimir, Loki, Tempo, and Pyroscope – without the overhead of installing, maintaining and scaling their own observability stack.
The Databases department owns and operates the telemetry databases that are
Mimir for metrics
,
Loki for logs
,
Tempo for traces
, and
Pyroscope for profiles
. We offer our databases as a Cloud service supporting Grafana Cloud.
Adaptive Telemetry Group
The Adaptive Telemetry group, part of the Databases department, has the mission of ensuring that all telemetry stored in our databases is worthy of attention. Under that mission, the group is responsible for the development of
Adaptive Metrics
,
Adaptive Logs
,
Adaptive Traces
and Adaptive Profiles.
Our Adaptive Telemetry solutions give users the ability to control and optimize their telemetry data. These solutions ensure that data storage is optimized based on individual usage patterns, so only the most valuable data is retained.
As a company we are remote-first and global, we embrace people of different experiences and backgrounds to build diverse teams where every person brings a new perspective to the software.
What will you be doing:
Drive technical strategy and roadmap.
Proactively define the architectural vision, prioritize work that unlocks major product or platform improvements, and influence product and engineering decisions.
Lead end-to-end delivery of large, cross-functional projects.
Own planning, design, execution, rollout and long-term operation of large initiatives.
Own architecture, reliability, performance and cost for critical systems.
Make pragmatic architecture choices that balance scalability, availability, latency and cost while ensuring systems remain maintainable and evolvable.
Define SLOs/SLIs and lead incident response.
Establish measurable reliability targets, run high-severity incident response, lead blameless post-mortems, and drive systemic fixes and automation to prevent recurrence.
Improve observability, automation and operational readiness.
Champion telemetry, alerting, runbooks, capacity planning and automation efforts that reduce toil, speed debugging and lower MTTR.
Align stakeholders and remove blockers.
Coordinate across Product, Design and other teams to align priorities, negotiate tradeoffs, and unblock delivery for large initiatives.
Mentor and grow engineering talent.
Coach senior and mid-level engineers, lead design reviews, raise engineering standards, and help teammates make sound technical tradeoffs.
Represent engineering internally and externally.
Communicate technical strategy clearly to non-engineering stakeholders and represent the team in cross-team planning.
We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google.
What makes you a great fit:
You are a motivated self starter with a bias towards action. You are customer focused. We build everything with our users in mind. You have a passion for creating intuitive products that fit customers’ needs
Proven delivery of large distributed systems.
Experience shipping and operating complex systems that span multiple teams, with clear evidence of technical leadership and impact.
Strong systems-design instincts.
Deep understanding of tradeoffs around latency, consistency, availability, scaling and cost.
Hands-on cloud and platform experience.
Solid experience with cloud-native architectures (microservices, containers/Kubernetes, IaC) and the operational practices that keep them healthy.
Reliability and performance ownership.
Comfortable defining SLOs/SLIs, doing capacity planning, tuning performance, and driving reliability work end-to-end.
Excellent coding and design skills.
You write clear, maintainable, well-tested code and can lead technical designs — we use Go, but Python/C/C++/Rust or similar translate well.
Comfort with AI-assisted development.
We embrace AI and agentic development so we expect you to be curious and comfortable using AI-powered developer tools and ideally have practical experience folding them into a team’s workflow.
Experience with messaging and telemetry.
Familiarity with streaming/messaging systems (e.g., Kafka) and observability tooling (Prometheus/Grafana or equivalents).
Influence without authority.
Ability to align cross-functional stakeholders, set priorities and drive outcomes in a remote-first environment.
Strong communicator.
Clear written and verbal communication that works across engineers and non-technical stakeholders.
Compensation & Rewards:
In the United States, the Base compensation range for this role is USD
189,374
- USD
227,249
. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed
here
.
*Compensation ranges are country-specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture -
As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization
– Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication
– Expect open decision-making and regular company-wide updates.
Innovation-Driven
– Autonomy and support to ship great work and try new things.
Open Source Roots
– Built on community-driven values that shape how we work.
Empowered Teams
– High trust, low ego culture that values outcomes over optics.
Career Growth Pathways
– Defined opportunities to grow and develop your career.
Approachable Leadership
– Transparent execs who are involved, visible, and human.
Passionate People
– Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding
- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key
- We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
*We will comply with local legislation where applicable.
Equal Opportunity Employer:
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our
privacy policy
.
Location: San Francisco, CA | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
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.
Developer Productivity owns the end-to-end experience of how engineers and researchers at Anthropic develop, build, test, and ship code at scale. This role focuses on the configuration and experimentation systems that let teams safely roll out changes, run controlled experiments, and make data-driven decisions across our products and infrastructure — from feature flagging and dynamic configuration to A/B testing platforms that support both research and production workloads.
Responsibilities
Own the technical strategy and roadmap for config and experimentation infrastructure, translating team-level goals into concrete execution plans and partnering with teams focused on deployment, testing, and more
Maintain and enhance the architecture for feature flagging, dynamic configuration, and experimentation systems, ensuring the hardest problems get solved — whether by you directly or by working through others
Design and build scalable, reliable distributed infrastructure and shared libraries that support high-volume experimentation and config workloads across all engineering teams
Own and evolve the platforms and tooling that let engineers and researchers safely ship config changes, run experiments, and measure impact
Define standards, tooling, and frameworks for experimentation and configuration management that drive developer productivity across research and production workloads
You may be a good fit if you:
Have deep experience with configuration management, feature flagging, and/or experimentation platforms in a large-scale environment
Have strong proficiency in Python, Rust and/or Go
Are obsessed with developer productivity and reducing friction in how teams configure, test, and ship changes
Have experience with container orchestration and infrastructure at scale
Have excellent communication skills and enjoy supporting internal partners to improve their development experience
Are excited about designing foundational systems and are comfortable working independently on ambiguous, high-impact technical challenges
Strong candidates may have:
Have 15+ years (not including internships or co-ops) of experience in a Software Engineer role, building and operating large-scale developer infrastructure
Have 3+ years (not including internships or co-ops) of experience leading large scale, complex projects or teams as an engineer or tech lead
Experience with config or experimentation platforms such as Statsig, GrowthBook, LaunchDarkly, Optimizely, Unleash, or similar (including building such systems in-house)
Experience designing experimentation frameworks — randomization, assignment, metrics pipelines, and statistical analysis for A/B testing at scale
Experience with dynamic configuration systems and safe rollout mechanisms (gradual rollouts, kill switches, targeting rules)
Experience building CLI tools, developer-facing services, and APIs/automation workflows that integrate config and experimentation into existing CI/CD pipelines
Deadline to apply: None. Applications will be reviewed on a rolling basis.
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:
$405,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
Staff+ Software Engineer, Developer Acceleration
About the Role
Anthropic is seeking talented and experienced Staff+ Software Engineers to join Developer Acceleration within the Developer Productivity organization. The Developer Acceleration team is responsible for the infrastructure that enables thousands of employees to be productive via agents. By joining this team, you'll have a direct impact on the velocity and quality of Anthropic's research and engineering development. You will be defining how AI transforms our work and building the future of agentic productivity.
Some things that the team owns:
Agent Runtime Platform
for provisioning and running agents
Knowledge
for providing relevant internal context to agents and humans
Some of our work is mentioned in
When AI Builds itself
and
Building effective human-agent teams
.
Responsibilities
Define the future of agentic productivity at scale and at the frontier
Own the technical strategy and roadmap for your area, translating goals into concrete execution
Define what quality means for agent-driven engineering work, and hold that line across the company
Stay hands-on: build and ship the runtime platform and tooling
Build agent harnesses and experiment with various context management strategies to improve agent performance and correctness
Write evals to benchmark agent behaviors
Deliver impact by collaborating cross-team
Own infrastructure scalability and reliability, and establish operational excellence practices
You May Be a Good Fit If You:
Have 10+ years building and operating large-scale distributed systems
Have 3+ years of experience leading large scale, complex projects or teams as an engineer or tech lead
Have a lot of experience with agents, eg. agents doing technical/knowledge work
Are obsessed with productivity and transforming how we work
Have experience building scalable platforms
Have excellent communication skills and enjoy supporting internal partners
Strong Candidates May Also Have:
Deep understanding of, and care for, how human work will evolve; and a drive to help shepherd that transition
Experience with container or VM orchestration at scale
Experience working with researchers and engineers
Developer productivity or infrastructure experience, such as CI/CD, builds, etc.
Experience building widely adopted CLI tools and services
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
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:
$405,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
San Francisco, California
San Francisco, CA | New York City, NY
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
Paris; Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks
seniorSingapore
Canada (Remote); We are looking for candidates in the Canadian time zones
United States (Remote); We are looking for candidates in the USA time zones
Автоотклики