Задачи:
— Разрабатывать, строить и оптимизировать масштабируемые backend-системы для платформы оценки рисков.
— Работать с высоконагруженными потоками данных, сервисами принятия решений в продакшене и интеграциями машинного обучения.
— Сотрудничать с дата-сайентистами, аналитиками рисков и продуктовыми командами для создания надежных и высокопроизводительных решений.
— Запускать стратегии оценки рисков для принятия решений в реальном времени.
— Эволюционировать и адаптировать архитектуру в соответствии с текущими бизнес-планами.
— Обеспечивать высокое качество реализации через комплексное покрытие тестами.
— Проектировать и использовать инструменты для валидации изменений, чтобы они соответствовали бизнес-требованиям.
Требования:
— Опыт работы с Python не менее 4 лет.
— Участие в разработке сервиса или подсистемы с нуля и успешный вывод в продакшн с бизнес-эффектом.
— Глубокие знания Python и его экосистемы.
— Понимание жизненного цикла программного обеспечения, применение методологии MVP.
— Опыт с архитектурными паттернами и принципами проектирования.
— Готовность брать ответственность за архитектурные решения сервиса.
— Уровень английского B1 или выше для эффективного общения с международной командой.
Условия:
— Поддержка релокации в один из офисов: Кипр, Грузия, Сербия или Казахстан с помощью для сотрудника и его семьи.
— Гибкий формат работы: из офиса или удаленно.
— Медицинское страхование.
— Бюджет на образование: языковые курсы, профессиональное обучение и сертификации.
— Бюджет на оздоровление: компенсация расходов на ментальное здоровье и фитнес.
— Отпуск: 20 дней оплачиваемого ежегодного отпуска и оплачиваемый больничный.
Задачи:
— Создавать и поддерживать платформу наблюдаемости, которая собирает телеметрию клиентов — события, логи и трассировки — с использованием OpenTelemetry и лучших отраслевых практик
— Разрабатывать возможности дашбордов и визуализации для команд поддержки и полевых команд, обеспечивая видимость состояния системы в реальном времени, выявление проблем и трендов, а также помогать клиентам сохранять устойчивость в масштабе
— Проектировать и реализовывать систему уведомлений и оповещений, основанную на данных телеметрии и эвристиках с использованием AI-агентов и lakehouse-интеллекта
— Писать инфраструктуру как код с помощью Helm и Terraform для упрощения развертывания и эксплуатации внутри Dremio
— Создавать и поддерживать фреймворки приложений, стандартизирующие разработку между командами, решая сквозные задачи, такие как внедрение зависимостей и контроль доступа на основе ролей в масштабе
— Сотрудничать с командами SRE и DevOps для определения лучших практик и предоставления стандартизированных решений для общих инженерных рабочих процессов
— Взаимодействовать с сообществом разработчиков для понимания их проблем и превращения этих знаний в улучшения платформы
— Помогать определять и реализовывать дорожную карту и этапы интеграции с платформой SAP HANA/BDC для обеспечения единого опыта
Требования:
— Степень бакалавра, магистра или выше в области компьютерных наук или смежной области
— Опыт работы в разработке программного обеспечения не менее 5 лет
— Опыт работы с Java не менее 2 лет
— Опыт работы с инфраструктурой как кодом (Helm, Terraform или эквивалент) не менее 2 лет
— Глубокий опыт работы с одной из основных облачных платформ (AWS, Azure или GCP)
— Практический опыт работы с OpenTelemetry или аналогичными платформами наблюдаемости
— Опыт работы с Kubernetes и Docker
— Хорошее понимание основ сетевых технологий (TCP/IP, DNS, HTTP)
— Желание изучать новые технологии и умение решать сложные задачи
Преимущества:
— Опыт создания SaaS микросервисов и распределённых систем
— Опыт работы с многопоточными или асинхронными моделями программирования
— Владение NoSQL базами данных (MongoDB, RocksDB) или Redis
— Опыт работы с CI/CD инструментами (Jenkins, ArgoCD)
— Знание других языков программирования, таких как C++, Go, Python, Node.js, Rust и др.
— Опыт в обработке запросов, распределённых системах, контроле конкуренции, репликации данных или системах хранения
— Опыт настройки Java GC/heap, Apache Arrow, SQL операторов или оптимизации путей данных
Условия:
— Удалённая работа из Португалии или другого места
— Полная занятость
Компания Dremio — это платформа lakehouse для самообслуживания аналитики и ИИ, использующая открытые технологии, включая Apache Iceberg и Apache Arrow, обеспечивающая гибкость и скорость получения инсайтов при снижении затрат.
Location: Remote - Canada
What We’re Building
Honeycomb is a service for the near and present future, defining observability and raising expectations of what developer tools can do! We’re working with well known companies like HelloFresh, Slack, LaunchDarkly, and Vanguard and more across a range of industries. This is an exciting time in our trajectory, we’ve closed Series D funding, scaled past the 200-person mark, and were named to Forbes’ America’s Best Startups of 2022 and 2023!
If you want to see what we’ve been up to, please check out these
blog posts
and Honeycomb.io
press releases
.
Who We Are
We come for the impact, and stay for the culture! We’re a talented, opinionated, passionate, fiercely inclusive, and responsible group of bees. We have conviction and we strive to live
our values
every day. We want our people to do what they truly love amongst a team of highly talented (but humble) peers.
How We Work
We are a fully distributed company, which means we believe it is not where you sit, but how you deliver that matters most. We invest in our people and care about how you orient to our culture and processes. At the same time we imbue a lot of trust, autonomy, and accountability from Day 1. #LI-Remote
Little more about the team:
AI agents at Honeycomb investigate, reason, and act on real observability data. They live in Canvas: the agentic workspace where engineers go to understand their systems.
The Agentic Intelligence team has shipped Canvas, the Honeycomb MCP server, and the Canvas Agent and Canvas Skills surfaces. What we're looking for today is someone who brings deep agent expertise and uses it to expand what the team can build: new agents, new surface area in Canvas, memory, spatial awareness, improved performance on our Bedrock loop.
Honeycomb's data store is fast and accepts high cardinality data; that's what makes agents built on top of it different from anything built on a conventional observability backend. This role is about taking advantage of that building agents that can do things no other observability product can do because the underlying data makes it possible.
Some of this work will start as a prototype. The expectation is that the code makes it through the full arc, from the rough first version through to something that holds up in production.
What you'll do
Design and deliver production-grade agents.
Build agents that investigate, reason, and act on live observability data inside Canvas. These agents must be trustworthy to engineers in high pressure situations, including mid-incident. Take one from rough first version to something that holds up under production traffic.
Own the agent work; support the whole product.
Scope, build, ship, and maintain the agents including the evals that tell you whether they got better or are just different. This role is agent-focused and also includes some fullstack development.
Build agents only Honeycomb can build.
Use a data store that returns high-cardinality queries in seconds to reason over signal a conventional backend can't serve at this fidelity correlating across services, drilling into a single trace, comparing before and after a deploy.
Extend the surface, and decide what's next.
Ship new capability into Canvas, the MCP server, and Canvas Skills memory, spatial awareness, a faster Bedrock loop and make the case for what comes after with working code. Distinguish hype from signal in a field with plenty of both.
Define what "good" means for agents here.
Set the bar: measurable against real evals, maintainable, and honest about their limits.
Example projects
Multiple agents collaborating on one shared Canvas investigation
each claiming a hypothesis, publishing findings, and narrowing the search space for the others so it resolves faster (blog).
Auto-investigation the moment an SLO burn alert fires
the agent forms hypotheses and prepares visualizations before a human looks, cutting mean-time-to-insight for on-call (o11ycon 2026).
Skills that encode a team's domain expertise
e.g. Kubernetes thresholds so agents and human colleagues can lean on them (o11ycon 2026).
What you'll bring:
AI and agent engineering experience.
You've shipped LLM-based systems people relied on in production not demos, not fine-tuned models in a research context. You know where agent systems break and how to design around it.
End-to-end ownership.
On a small team there's no handoff queue. You can take something from rough prototype to production-grade without needing someone behind you to do the durable engineering.
Current judgment, not just past experience.
You have informed opinions about what's shifted in agent design in the last six to twelve months that would change how you'd build today.
Agent architecture depth.
You understand how a fast, high-cardinality data store changes what an agent can reason about, and how to design for that.
Product judgment.
You can look at what the agent layer does today and see what it should do next and make that case with a prototype, not a deck.
Even better
Observability or developer-tools background.
Engineers are your users; you'll ramp faster with fluency in that world, and the work is better.
Familiarity with eval frameworks, agent tooling, RAG, and prompt engineering.
Base Salary based on level of experience
$250,000
—
$280,000 CAD
What you'll get when you join the Hive:
A stake in our success - generous equity with employee-friendly stock program
It’s not about how strong of a negotiator you are - our pay is based on transparent levels relative to experience
Time to recharge with unlimited PTO
A distributed-first mindset and culture (really!)
Home office, co-working, and internet stipend
Full benefits coverage for employees, with additional coverage available for dependents
Up to 16 weeks of paid parental leave, regardless of path to parenthood
Annual development allowance
And much more...
Please note we cannot currently sponsor or support visa transfers at this time.
Additionally, in compliance with applicable law, all persons hired will be required to verify identity and eligibility to work.
Phishing and Recruitment Scam Warning:
We take your security seriously. Please be aware that recruitment scams are increasingly common and scammers may create email addresses or websites to impersonate Honeycomb employees. To help protect you:
All communications will come from an
@honeycomb.io
email address
We occasionally work with external recruiting agencies. These partners will use legitimate business email addresses—
never personal accounts like Gmail or Yahoo
.
Our recruiting process will
never
ask you to provide financial or sensitive personal information, including but not limited to:
Social security or tax identification numbers
Credit card numbers
Bank account information
Diversity & Accommodations:
We're committed to building a diverse, inclusive, and equitable workplace—where people of all backgrounds, identities, experiences, and abilities are welcomed, valued, and supported. We recognize that there is no single path to success and embrace nontraditional career journeys and diverse perspectives as key to building stronger, more innovative teams.
We strive to ensure an inclusive experience throughout every stage of our hiring process and are happy to provide reasonable accommodations as needed. If you require accommodations or accessible formats at any point during our hiring process, please let your recruiter know.
As an equal opportunity employer our hiring process is designed to put you at ease and help you show your best work. If there’s anything we can do to improve your experience, we’re always open to feedback.
Privacy Notice:
If you apply for a job at Honeycomb and your application is unsuccessful (or you withdraw from the process or decline our offer), Honeycomb will retain your information after your application for a period of time in accordance with local laws. We retain this information for various reasons, including in case we face a legal challenge in respect of a recruitment decision, to consider you for other current or future jobs at Honeycomb, and to help us better understand, analyze and improve our recruitment processes.
For more information regarding our privacy practices please see the
Honeycomb Privacy Notice
.
If you do not want us to retain your information, or want us to update it, please contact
privacy@honeycomb.io
. Please note, however, that we may retain some information if required by law or as necessary to protect ourselves from legal claims.
Location: Foster City, CA
Workplace: Hybrid
Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation.
ABOUT THE ROLE:
Help turn “I built a business” into “I have customers.” As a Staff Software Engineer on Replit’s Money team, you’ll help shape Agentic Ads: an emerging area focused on using AI to make customer acquisition more accessible to businesses built on Replit.
This role focuses on intelligent, advertiser-facing software—not ad-serving infrastructure, an ad exchange, or a real-time bidding engine. You’ll tackle problems at the intersection of AI, business growth, measurement, and trustworthy automation, turning complex decisions into clear, useful experiences.
You’ll help define a new product area, working closely with product, design, and engineering to discover customer needs and deliver practical solutions. This is a hands-on Staff role: you’ll own architecture, lead delivery across teams, mentor engineers, and turn an ambitious vision into incremental customer value.
YOU WILL:
- Set technical direction for Agentic Ads, translating customer needs into an architecture and roadmap that balance rapid learning with long-term reliability.
- Build agent-powered experiences that help businesses make informed growth decisions, translating user goals into understandable recommendations and appropriately authorized actions.
- Design extensible integrations with external services, using well-defined APIs and abstractions that accommodate changing provider capabilities and requirements.
- Partner with product and data teams to establish reliable measurement, connect product activity to business outcomes, and address data quality, delayed feedback, and uncertainty.
- Develop intelligent automation that learns from performance signals and helps users improve outcomes within their goals and constraints.
- Make financial control a product requirement: scoped authorization, explicit approvals, budget limits, auditable decisions, clear reporting, and reliable pause controls. Distinguish recommendations from actions that commit customer spend.
- Make cross-platform workflows reliable with durable state, idempotency, safe retries, reconciliation, observability, and recovery from partial failures, expired credentials, rate limits, and provider API changes.
- Establish agent evaluations and production monitoring for plan quality, tool selection, policy compliance, spend safety, and verified execution. Partner on experiments that distinguish attributed results from incremental customer value.
- Lead ambiguous initiatives across product, design, AI, data, security, and partnerships. Stay hands-on with implementation, define incremental milestones, mentor engineers, and own the quality and operation of what the team ships.
REQUIRED SKILLS AND EXPERIENCE:
- A track record of Staff-level technical leadership on complex customer-facing products or platforms: setting direction, resolving ambiguity, and delivering through launch and production operation across multiple teams.
- Strong hands-on software engineering and system design skills across APIs, data modeling, distributed systems, asynchronous workflows, and customer-facing product experiences.
- Experience building and operating third-party integrations that remain correct under duplicate requests, partial failures, rate limits, changing schemas, and inconsistent external state.
- Practical experience shipping LLM-powered products or agentic workflows, including tool use, orchestration, evaluations, and safeguards for actions taken against external systems.
- Strong data and measurement judgment: experience using instrumentation and experiments to evaluate product outcomes, and the ability to reason about noisy data, delayed feedback, uncertainty, and correlation versus causation.
- Sound judgment around systems that act on a user’s behalf, including authentication, authorization, sensitive data, approval boundaries, and limits on consequential actions.
- Demonstrated ability to align cross-functional teams, explain technical trade-offs, mentor engineers, and drive execution without relying on reporting authority.
- A product-minded approach to simplifying complex workflows for non-experts, with hands-on ownership from prototype through reliable production operation.
PREFERRED QUALIFICATIONS
- Experience building advertiser-facing products, marketing automation, campaign-management tools, growth platforms, or software that helps businesses acquire customers.
- Experience integrating advertising or marketing APIs; familiarity with account onboarding, campaign lifecycles, and platform requirements.
- Working knowledge of conversion tracking, attribution, customer acquisition cost, return on ad spend, budget pacing, and the limits of optimizing with low conversion volume.
- Experience with experimentation, incrementality measurement, constrained optimization, recommendation systems, or decision-making under uncertainty.
- Experience building permissioned, multi-tenant products with approval workflows, budget controls, audit trails, and privacy-aware handling of customer and conversion data.
BONUS POINTS:
- Experience with agent tooling, durable workflow execution, delegated authorization, or evaluation frameworks for agents that take consequential actions.
- Experience connecting application events or server-side conversion signals to advertising platforms, or integrating creative generation and landing-page experimentation into growth workflows.
- Experience building for small businesses or first-time advertisers, where clear guidance, limited budgets, and sparse data shape the product.
- These are additional strengths, not a checklist. Experience with every ad platform is not expected; ad-serving infrastructure experience and an ML research background are not prerequisites.
WHAT WE VALUE:
- Customer outcomes: success means helping a business acquire qualified leads and customers—not merely connecting an account, launching a campaign, or increasing spend.
- User control and trust: agents explain recommendations, act within explicit authority, and make budgets, costs, and consequential changes understandable.
- Evidence over activity: we validate measurement, acknowledge uncertainty, and test whether a change improves business outcomes rather than treating attribution as proof of causality.
- End-to-end ownership: we own the journey from a business goal through campaign execution, measurement, and ongoing improvement.
- Pragmatic technical leadership: we build on existing ad platforms, ship focused increments, and invest in correctness and extensibility where they matter.
- Clear collaboration: we document decisions, surface risks early, and help other teams and partners succeed.
Full-Time Employee Benefits Include:
💰 Competitive Salary & Equity
💹 401(k) Program with a 4% match (US Only)
⚕️ Health, Dental, Vision and Life Insurance
🩼 Short Term and Long Term Disability
🚼 Paid Parental, Medical, Caregiver Leave
🏝 Flexible Time Off (FTO) + Holidays
🚗 Commuter Benefits (In-Office & US Only)
📱 Monthly Wellness Stipend
🧑💻 Autonomous Work Environment
🖥 In Office Set-Up Reimbursement (In-Office Only)
🚀 Quarterly Team Gatherings
☕ In Office Amenities (In-Office Only)
Want to learn more about what we are up to?
- Self-driving Company https://replit.com/blog/self-driving-company
- Replit Agent at Scale https://replit.com/blog/evaluating-and-improving-agent-at-scale
- AI Adoption https://replit.com/blog/ai-adoption
- Build Open-Source Apps https://replit.com/build/open-source-app-builder
Interviewing + Culture at Replit
- Operating Principles https://blog.replit.com/operating-principles
- Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit
To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.
Location: Singapore, Singapore
OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa.
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 talented Mobile Engineer to join our engineering team. In this role, you will design, build, and maintain high-performance native iOS applications that power core user experiences. You will collaborate with cross-functional teams to solve technical challenges at scale, write resilient code, and help maintain high engineering standards.
What You'll Be Doing
Build & Scale Native Mobile Apps:
Design, develop, and maintain modular, reliable native mobile features (iOS) used by millions of global users.
Architect Core Systems:
Drive technical decision-making on mobile architecture, API design, performance optimization, and offline/network resiliency.
Collaborate Cross-Functionally:
Partner closely with Product Management, Design, and Backend Engineering to translate complex user and commercial requirements into intuitive, reliable mobile experiences.
Ensure Quality & Rigor:
Write clean, testable, and maintainable code while maintaining high engineering standards for code reviews, testing, security, and monitoring.
Integrate AI Workflows:
Apply AI coding tools actively in your workflow—not only for code generation, but also to build and maintain repeatable personal AI development workflows.
Modernize Engineering Tooling:
Leverage modern development tools, automated CI/CD pipelines, and productivity workflows to maintain rapid iteration speeds.
What We Look For In You
Solid software engineering fundamentals with hands-on experience building, shipping, or maintaining production native iOS applications
Strong understanding of mobile system design, clean architecture, memory management, testing, and performance tuning.
Ability to actively apply AI coding tools in your workflow and continuously optimize personal engineering productivity.
Problem-solving mindset with the ability to take ownership of end-to-end features and drive execution independently.
Nice-To-Haves
Experience with CI/CD pipelines for mobile delivery (e.g., Fastlane, GitHub Actions, Xcode Cloud).
Familiarity with analytics, feature flagging, and experimentation/A/B testing frameworks.
Experience maintaining or contributing to shared mobile frameworks or design systems.
Proficiency in speaking, reading and writing in both English and Mandarin to collaborate effectively with global and cross-functional team members.
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
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
.
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.
This is a remote opportunity and we would be interested in applicants from Canadian
EST time zones only.
Senior Software Engineer - Session Replay
The Opportunity:
The Session Replay squad is building a new Grafana Cloud product that helps our customers to understand what users actually experienced when something goes wrong.
Session Replay
connects frontend signals (errors, performance, synthetic checks) to concrete session-level evidence, enabling faster and more confident investigation of production issues.
This team works at the intersection of:
frontend observability,
backend data processing and storage at scale,
debugging workflows across products,
privacy and access control,
performance and cost constraints at scale.
Session Replay
is still early, which means you’ll help shape both what we build and how it fits into Grafana Cloud. A key part of our next phase is evolving the backend architecture of capturing sessions, including a migration toward columnar/analytical solution as a primary storage and query engine for high-volume session data.
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. We are looking for Senior Software Engineers who are passionate about working with data and providing seamless experiences for our customers to join our growing team! Our stack is Golang, Typescript and React, but we build tools for people using many other stacks.
What You’ll Be Doing:
As a Senior Software Engineer, you will operate as a technical leader and systems thinker, driving both product direction and architectural evolution, specifically, you will:
Own end-to-end technical direction for Session Replay,
spanning frontend, backend, and data systems
Drive the evolution of our backend architecture, including:
Designing systems around columnar/analytical data storage for large-scale session data
Defining data models, ingestion pipelines, and query patterns
Lead the design of investigation workflows,
connecting replay with logs, metrics, traces and other telemetry across Grafana Cloud
Make high-leverage architectural decisions
that impact multiple teams and products
Partner with teams across Grafana (Frontend Observability, Synthetic Monitoring, Core Grafana) to build
cohesive cross-product experiences
Engage directly with customers
- joining calls, gathering structured feedback, and helping customers instrument and adopt Session Replay successfully.
Improve engineering standards, patterns, and operational practices within the team
Mentor engineers and help grow technical leadership within the team
Technologies you'll work with:
Go (backend services and APIs)
Columnar/Analytical data storage (core data storage and querying)
Object storage (S3, GCS, Azure Blob Storage) and MySQL
TypeScript / React (user-facing workflows)
Grafana ecosystem (Mimir, Loki, Tempo, etc.)
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
comfortable working in a remote-first company
; communication is key.
For us, working together means being
collaborative, friendly, kind, and respectful
. We operate by consensus. You can contribute to a discussion, disagree constructively, and commit to the team’s decision. You are able to communicate design decisions clearly in written and spoken English.
Ability to reason about data-intensive systems
(ingestion, storage, querying, cost trade-offs)
You are
comfortable owning features in ambiguous problem spaces
. We are a small team, working remotely, on a product that will be used by engineers all over the world – the ability to work on your own is crucial.
You have a good understanding of
a software development process that takes a user-centered approach
. You easily build an understanding of the users’ context and goals which will help you build the right solution with the maximum value.
You enjoy
working on complex solutions
– Grafana is a highly technological solution and has avid followers who rely on it every day and who care deeply about their workflows. You value code maintainability, readability & automation.
You use
AI tools as a natural part of your engineering workflow
- whether for accelerating exploration, code review, or reasoning through design tradeoffs - and you're thoughtful about where they help and where they don't.
Bonus Points For:
Experience with columnar/analytical databases
Experience with observability tools (Grafana, Datadog, New Relic, Sentry, etc.).
Experience building debugging or developer-focused tools.
Familiarity with privacy, security, and access control in data-heavy systems
Experience working on performance-sensitive systems (large datasets, real-time queries, session data)
Compensation & Rewards:
In Canada, the Base compensation range for this role is CAD
164,490
- CAD
197,389
. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.
*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.
This is a remote position. We are looking for candidates in the USA
EST time zones only
.
Senior Software Engineer - Session Replay
The Opportunity:
The Session Replay squad is building a new Grafana Cloud product that helps our customers to understand what users actually experienced when something goes wrong.
Session Replay
connects frontend signals (errors, performance, synthetic checks) to concrete session-level evidence, enabling faster and more confident investigation of production issues.
This team works at the intersection of:
frontend observability,
backend data processing and storage at scale,
debugging workflows across products,
privacy and access control,
performance and cost constraints at scale.
Session Replay
is still early, which means you’ll help shape both what we build and how it fits into Grafana Cloud. A key part of our next phase is evolving the backend architecture of capturing sessions, including a migration toward columnar/analytical solution as a primary storage and query engine for high-volume session data.
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. We are looking for Senior Software Engineers who are passionate about working with data and providing seamless experiences for our customers to join our growing team! Our stack is Golang, Typescript and React, but we build tools for people using many other stacks.
What You’ll Be Doing:
As a Senior Software Engineer, you will operate as a technical leader and systems thinker, driving both product direction and architectural evolution, specifically, you will:
Own end-to-end technical direction for Session Replay,
spanning frontend, backend, and data systems
Drive the evolution of our backend architecture, including:
Designing systems around columnar/analytical data storage for large-scale session data
Defining data models, ingestion pipelines, and query patterns
Lead the design of investigation workflows,
connecting replay with logs, metrics, traces and other telemetry across Grafana Cloud
Make high-leverage architectural decisions
that impact multiple teams and products
Partner with teams across Grafana (Frontend Observability, Synthetic Monitoring, Core Grafana) to build
cohesive cross-product experiences
Engage directly with customers
- joining calls, gathering structured feedback, and helping customers instrument and adopt Session Replay successfully.
Improve engineering standards, patterns, and operational practices within the team
Mentor engineers and help grow technical leadership within the team
Technologies you'll work with:
Go (backend services and APIs)
Columnar/Analytical data storage (core data storage and querying)
Object storage (S3, GCS, Azure Blob Storage) and MySQL
TypeScript / React (user-facing workflows)
Grafana ecosystem (Mimir, Loki, Tempo, etc.)
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
comfortable working in a remote-first company
; communication is key.
For us, working together means being
collaborative, friendly, kind, and respectful
. We operate by consensus. You can contribute to a discussion, disagree constructively, and commit to the team’s decision. You are able to communicate design decisions clearly in written and spoken English.
Ability to reason about data-intensive systems
(ingestion, storage, querying, cost trade-offs)
You are
comfortable owning features in ambiguous problem spaces
. We are a small team, working remotely, on a product that will be used by engineers all over the world – the ability to work on your own is crucial.
You have a good understanding of
a software development process that takes a user-centered approach
. You easily build an understanding of the users’ context and goals which will help you build the right solution with the maximum value.
You enjoy
working on complex solutions
– Grafana is a highly technological solution and has avid followers who rely on it every day and who care deeply about their workflows. You value code maintainability, readability & automation.
You use
AI tools as a natural part of your engineering workflow
- whether for accelerating exploration, code review, or reasoning through design tradeoffs - and you're thoughtful about where they help and where they don't.
Bonus Points For:
Experience with columnar/analytical databases
Experience with observability tools (Grafana, Datadog, New Relic, Sentry, etc.).
Experience building debugging or developer-focused tools.
Familiarity with privacy, security, and access control in data-heavy systems
Experience working on performance-sensitive systems (large datasets, real-time queries, session data)
Compensation & Rewards:
In the United States, the Base compensation range for this role is USD
154,445
- USD
185,334
. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.
*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, California; New York, New York
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.
Notion is an in person company, and currently requires its employees to come to the office for three Anchor Days (Mondays, Tuesdays, and Thursdays). This internship will take place from Jan 25 - Apr 16 and you will need to be able to work out of our NY or SF office during this time.
ABOUT THE ROLE:
Mobile devices have reshaped personal computing—the power of a desktop now fits in our pockets. By giving everyone the building blocks to create their own tools, we'll solve more problems wherever we go. A delightful, intuitive mobile experience: that's our guiding light, and we need Android and iOS engineers to make it a reality.
During your 12-week internship, you will be paired with a mentor that will help guide you as you work closely with our team to build and ship impactful projects. These projects will drive valuable impact to our customers and engineers. Take a look at what our past intern cohort worked on with our Blog post here https://notion.notion.site/Notion-Intern-Spotlight-d0260c4e2317490db89f367d95cb4e68 and here https://www.notion.so/blog/saluting-notions-winter-interns and TikTok https://www.tiktok.com/@notionhq/video/7216440106356395306?lang=en post.
WHAT YOU'LL ACHIEVE:
- Write clean, secure, tested, and documented code.
- You'll collaborate with the team to strategize, mold, and develop innovative features for our Android and iOS application.
- At our core, we prioritize crafting top-tier applications. Your role could involve enhancing the Android or iOS app's performance, reliability, and overall refinement. Additionally, you'll have the opportunity to optimize aspects of the app within the web stack.
QUALIFICATIONS
- Pursuing a Bachelor's or Master’s degree in computer science, engineering, or another related field. Must graduate before December 2027.
- Previous mobile internship experience.
- Working towards a proficiency of one or more programming languages such as Kotlin, Java, Typescript, Node.js, Swift, Go, Python, or Rust.
- You find large challenges exciting and enjoy discovering problems as much as solving them.
- You are able to problem-solve and adapt to changing priorities in a fast-paced, dynamic environment.
- This internship will take place from Jan - Apr and you will need to be able to work out of our SF or NY office during this time.
SKILLS YOU'LL NEED TO BRING:
- Thoughtful problem-solving: For you, problem-solving starts with a clear and accurate understanding of the context. You can decompose tricky problems and work towards a clean solution, by yourself or with teammates. You're comfortable asking for help when you get stuck.
- Put users first: You think critically about the implications of what you're building, and how it shapes real people's lives. You understand that reach comes with responsibility for our impact—good and bad.
- Not ideological about technology: To you, technologies and programming languages are about tradeoffs. You may be opinionated, but you're not ideological and can learn new technologies as you go.
- Empathetic communication: You communicate nuanced ideas clearly, whether you're explaining technical decisions in writing or brainstorming in real time. In disagreements, you engage thoughtfully with other perspectives and compromise when needed.
- Team player: For you, work isn't a solo endeavor. You enjoy collaborating cross-functionally to accomplish shared goals, and you care about learning, growing, and helping others to do the same.
NICE TO HAVES:
- You're proficient with any part of our technology stack: Kotlin, Jetpack Compose, Android SDK, Dagger, Swift, React, TypeScript, Postgres.
- 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.
- You have interests outside of technology, such as in art, history, or social sciences.
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 hourly range for this role is $57/hr for Bachelors or $61/hr for Master’s.
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?pvs=74 and NYLL 144 https://notion.notion.site/Ashby-AI-Bias-Audit-2b0efdeead05803bbbfae159ec86c528.
#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: Americas Remote
Hi, I'm Paul, VP of Engineering at
Customer.io
. We're looking for a staff product engineer — not a generalist who happens to touch frontend and backend, but someone who thinks like a product owner and ships like an engineer.
About
Customer.io
Over 9,000 companies — from scrappy startups to global brands — use our platform to send billions of emails, push notifications, in-app messages, and SMS every day.
Customer.io
powers automated communication that people actually want to receive.
We help teams send smarter, more relevant messages using real-time behavioral data. Under the hood: Go, React, and AI help us ship fast and scale with confidence.
What We Value
End-to-end ownership
You take on the problems nobody's claimed — the ones that span squads with no obvious owner — and carry them from a fuzzy first conversation to what's actually live. If it touches the customer, it's yours to chase down.
Comfort in ambiguity
Half-formed problems and conflicting signals are your starting material, not a blocker. You define the problem before you solve it, form a point of view on what's worth building, and move without waiting for someone else to de-risk the call.
Customer-first, always
You think from the customer's problem backward, not the codebase forward. Every technical call traces back to what it does for the person on the other end of the message — and you can explain that connection to people who don't write code. Given the choice, you ship the thing that changes their experience, not the thing that's merely elegant.
A healthy skepticism for "the way things are done"
You retire practices that have outlived their usefulness, including ones you helped build. Best practices matter — but never more than forward motion.
Force multiplication
Shipping your part isn't the bar. You bring in the right people before a problem becomes theirs to clean up, and you leave enough behind — docs, patterns, delegation — that the team keeps moving without you in the room.
What You'll Do
Own important, ambiguous problems from initial framing through launch and iteration. Set direction, align partners, and stay accountable for the result.
Partner with product, design, and data to shape priorities, scope the work, and define how success will be measured.
Lead technical decisions across the stack, including architecture, performance, reliability, and maintainability.
Lead work across teams and systems. Build alignment, resolve technical disagreements, and keep complex initiatives moving.
Improve engineering practices through mentorship, reusable patterns, and clear technical guidance.
Use AI throughout your engineering work, with sound judgment about where it helps, where it falls short, and how its output should be reviewed. Help the team improve by testing new workflows, sharing what works, and identifying useful opportunities for automation.
Participate in an on-call rotation as required, supporting the systems the team builds.
What we're looking for
A track record of leading complex work across teams or systems and delivering meaningful customer, business, or engineering outcomes.
Strong backend engineering experience, with the ability to work across the stack and lead end-to-end technical decisions.
Strong product and technical judgment, especially when the problem or path forward is unclear.
The ability to influence experienced peers and align teams without formal authority.
Experience using metrics, experimentation, and observability to guide decisions and improve production systems.
Regular, hands-on use of AI across the software development lifecycle, with the judgment to adapt as tools change while remaining accountable for quality, security, and outcomes. Experience improving how a broader team uses AI is a strong plus.
Compensation & Benefits
We believe in transparency. Starting salary for this role is $200,000 - $280,000 USD (or equivalent in local currency) depending on experience and subject to market rate adjustment. This role also carries a 10% annual bonus target. In addition to base salary, this role includes an equity grant in the form of stock options, so you share in the success you help build.
We know our people are what make us great, and we're committed to taking great care of them. Our inclusive benefits package supports your well-being and growth, including 100% coverage of medical, dental, vision, mental health, and supplemental insurance premiums for you and your family. We also offer 16 weeks paid parental leave, unlimited PTO, stipends for remote work and wellness, a professional development budget, and more.
See full benefits here →
Our Process
No gotchas, no trick questions - just a clear, human process designed to help both of us make an informed decision.
Application
- We review everyone with care. Tell us why you're interested.
Recruiter Call (30 mins)
- Let's chat about what you're looking for and how we work.
Hiring Manager Interview (60 mins)
- Talk with one of our hiring managers about your working style and a product you've owned end-to-end, plus a short AI-assisted coding exercise.
System Design Interview (60 mins)
- A collaborative conversation that moves between product tradeoffs and system design — how you'd scope something ambiguous and how you'd build it.
Take-Home Assignment
- Complete a short, realistic task similar to what you'd work on here.
Assignment Review Call (60 mins)
- Walk us through your work and discuss tradeoffs, priorities, and how you'd iterate.
All final candidates will be asked to complete a background check and employment verifications as part of our pre-employment process.
Customer.io
recognizes the stifling impact of systemic injustice on diverse communities. We commit to using our influence to increase inclusion and equity within the tech industry. We strive to build an inclusive team culture, implement bias-free hiring practices, and develop community partnerships to expand our global impact.
Zoom is the only video conference platform that we use, virtual interviews will be conducted using the video capability (i.e., not via the chat), and offers will be extended in writing on official
Customer.io
letterhead. Please be vigilant in all of your job search activity, and if you have any questions please contact
jobs@customer.io
.
Join us!
We believe in empathy, transparency, responsibility, and, yes, a little awkwardness. If you're excited by what you read and want to build software that makes communication better for everyone—apply now.
Location: Oakland, California, United States
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
We’re looking for a Staff Software Engineer, Backend to join our Reverse ETL product engineering team.
Formerly Census, we were acquired in May 2025 to augment Fivetran’s warehouse-first data movement product story. Now we’re integrating our entire product directly into the Fivetran dashboard, bringing best-in-class data activation to every Fivetran customer.
As a staff software engineer in Reverse ETL, you’ll be on the front lines of integrating data activation capabilities into the Fivetran product along every dimension – authentication, billing, data model, UI and more. You’ll be a senior member of a distributed, collaborative, agile team of engineers of varying experience levels and diverse backgrounds.
This is a full-time position based out of our Toronto or Oakland office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration.
Technologies You’ll Use
Expertise in at least one interpreted language such as Python, Ruby on Rails, etc.
Hands-on experience with at least one compiled language such as C++, Kotlin, Scala, Go, Java, etc.
Solid understanding of relational databases (experience with data warehousing solutions (e.g., Snowflake) is a bonus)
Proven experience in system integration, including API consumption and development (experience with infrastructure management is a bonus)
Familiarity with leading cloud providers, such as GCP, AWS, or Azure
Experience being on-call
What You’ll Do
Make contributions to all parts of our tech stack, which comprises Ruby on Rails, Typescript, Vue, and AWS.
Be comfortable “filling in the gaps” in product / design specs. The prospect of being able to prototype to test ideas out before committing to building is exciting to you.
Work closely with our product team, leaders, and customers to help design and develop features that make Fivetran the one-stop shop for data activation.
Mentor early-career engineers, perform thoughtful and constructive code reviews, advise on best practices, provide project-level leadership, operate across teams, departments, and time zones.
Lead major projects, from driving research spikes, to writing and socializing design documents, to planning the implementation and rollout
Skills We’re Looking For
Can build things end-to-end. Our engineers build, deploy and maintain their code.
Is adept with data, backend systems, APIs, and UI components.
Is customer-focused, with an eye for building delightful product experiences and developer experiences.
Approaches new problems with a scrappy optimism, with a bias towards action.
Thrives in ambiguous environments where you get to work directly with customers and make decisions that build trust and have a huge impact on the business.
Present and available online for synchronous and asynchronous collaboration with a team distributed across North America.
Able to work in-person in our Toronto/Oakland office 2 days per week.
#LI-HYBRID #LI-AM1
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
Oakland Pay Range
$196,033
—
$245,041.50 USD
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: Argentina Remote
Workplace: Remote
ABOUT THE TEAM
The Platform Engineering team builds the tools and services that accelerate the software development life cycle of the software engineers at Mural.
We work on tools that provide a reliable development environment, on tools to easily test locally and remotely, on integrations with Github and Github Actions, and a few other pieces throughout the many stages in our build, test and release pipelines. Our work is essential to Mural's success, as we maintain the backbone of the platform, enabling seamless user experiences and fostering innovation across the company.
YOUR MISSION
As a Platform Engineer, you will play a crucial role in driving the performance and efficiency of the software development life cycle across the organization. You will be responsible for understanding, maintaining, and evolving existing systems while designing and implementing advanced automation tools and optimized workflows. By enabling developers to build, test, and deploy software rapidly and reliably, your work will directly enhance development cycle performance, boosting productivity and quality across the entire development team. This makes your role essential to Mural's ongoing success.
WHAT YOU'LL DO
- Design, implement and maintain the build infrastructure for a large Typescript and NodeJS codebase
- Collaborate with software developers and platform engineers to define and refine the Continuous Integration and Continuous Delivery processes and its best practices.
- Identify and address bottlenecks, performance issues, and opportunities for automation within the development pipeline in order to speed up the whole development experience.
- Develop and maintain scalable platform features, ensuring the reliability, availability, and scalability of our software delivery processes.
- Care deeply about the problems and needs of our customers, which are all the engineers in the organization, and on training and supporting them to better use the tools we build to improve their quality of life
WHAT YOU'LL BRING
- 5+ years of experience working on the backend, integrations or CI/CD pipelines of a high-performing engineering team
- Experience building reusable components and libraries, with an understanding of scalable architecture.
- Excellent communication skills, with a focus on documenting solutions and providing clear technical guidance
- A strong sense of ownership over critical problem areas
- A thorough understanding of Linux, Docker and CI tools like Github Actions or similar
- Experience in designing, implementing and documenting API services
- Understanding of the NodeJS and Typescript ecosystems, and its automated build and testing tools is a plus
- Kubernetes, Python, Golang, Terraform and Azure Cloud knowledge is another plus
- Experience managing stateful Kubernetes workloads, including operating, scaling, troubleshooting, and improving the reliability of production-grade services
- Comfortable designing and programming custom operators to automate platform workflows, extend infrastructure capabilities, and improve reliability across development and delivery systems
- Experience designing and building AI-powered platform capabilities that improve developer productivity, automate engineering workflows, or enhance CI/CD, observability, testing, and release processes
- A proactive, ownership-driven approach to troubleshooting and supporting critical technical areas
- Experience in making data-driven decisions
Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. .
EQUAL OPPORTUNITY
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Location: Hybrid - San Francisco
About Vercel:
Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience.
Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide.
About the role
The Scheduled Tasks team builds the platform primitives that let applications and agents run work now, later, or for a long time. We own Vercel Workflows, Queues, and Cron: the systems developers use to build long-running, event-driven, and scheduled applications.
You will join a team working at the intersection of developer experience and distributed systems. Together, we are building and scaling the products that make it straightforward for developers to coordinate background work, move messages between services, and schedule work with confidence. You will collaborate closely with engineers across Vercel to make these powerful capabilities feel simple, composable, and native to the platform.
What you'll do
Design, build, and operate platform capabilities across Workflows, Queues, and Cron.
Help developers build applications and agents that coordinate background, event-driven, and scheduled work.
Build APIs, SDKs, and tooling that make it easy to define, run, and manage durable work at scale.
Work on the distributed-systems foundations behind scheduling, message delivery, execution, retries, and state.
Partner with product, developer experience, and infrastructure teams to turn customer needs into clear, useful developer primitives.
Raise the engineering bar through thoughtful design reviews, well-tested code, production ownership, and clear technical communication.
Engage with developers and the open-source community to understand where background jobs, queues, and scheduling create friction—and use that feedback to improve the platform.
What you need
You have 5+ years of experience building and operating distributed systems, developer platforms, or cloud infrastructure.
Experience with TypeScript/JavaScript and open-source infrastructure or developer tools is a plus.
You are comfortable working across APIs, runtimes, storage, networking, and production operations.
You have experience with one or more of: job queues, schedulers, workflow orchestration, event-driven systems, state machines, stream processing, or durable execution.
You understand the tradeoffs behind delivery guarantees, retries, idempotency, concurrency, and fault tolerance—and can turn those tradeoffs into usable product primitives.
You write high-quality, well-tested code and enjoy solving complex technical problems.
You communicate clearly, collaborate well across teams, and help a growing team converge on strong technical decisions.
Benefits & Compensation:
Competitive compensation package, including equity.
Inclusive Healthcare Package.
Learn and Grow - we provide mentorship and send you to events that help you build your network and skills.
Flexible Time Off.
We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed.
The base pay range for this role is $196,000.00 - $312,000.00. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process.
Disclosures:
Privacy:
Please review our
Job Applicant Privacy Policy
for more information on how we handle your data.
Equal Opportunity:
Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.
Location: Canada Remote
Workplace: Remote
ABOUT THE TEAM
At Mural, we're changing how teams collaborate, think, and make decisions together. The Growth & Engagement team helps customers discover value through intuitive product experiences, rapid experimentation, and emerging AI capabilities that make collaboration more effective. We own key parts of the customer journey - from acquisition and onboarding to activation, engagement, retention, and monetization - and use data, experimentation, and customer insights to continuously improve those experiences.
We're a cross-functional team of engineers, product managers, designers, and data partners who move quickly, measure outcomes, and learn from every experiment. We value curiosity, collaboration, and thoughtful technical craftsmanship, building systems that enable rapid iteration while maintaining a high bar for quality, reliability, and scalability.
YOUR MISSION
As a Senior Software Engineer on the Growth & Engagement team, you'll build the products, platforms, and experimentation capabilities that help customers discover value faster and achieve more with our product. You'll partner closely with Product, Design, Data, and other Engineering teams to identify opportunities, validate ideas through experimentation, and deliver experiences that improve customer outcomes and drive sustainable business growth.
Beyond shipping features, you'll help shape the technical direction of the team, mentor other engineers, and establish engineering practices that enable us to experiment confidently and move quickly.
WHAT YOU'LL DO
- Design, build, and maintain customer-facing features that improve acquisition, activation, engagement, retention, and monetization.
- Collaborate closely with Product, Design, Data, Marketing, and Customer Success to identify growth opportunities and translate customer feedback, product analytics, and experimentation to guide product decisions.
- Design, implement, and analyze experiments using feature flags, A/B testing, and analytics to validate hypotheses and measure customer and business impact.
- Build reliable instrumentation and event pipelines that help teams understand customer behavior and make informed product decisions.
- Write high-quality, maintainable code while contributing to architecture, technical design, and long-term platform improvements.
- Improve the performance, reliability, accessibility, and scalability of critical user journeys.
- Mentor teammates through technical leadership, code reviews, design discussions, and knowledge sharing.
- Contribute to roadmap planning, technical strategy, and continuous improvement of the team's engineering practices.
WHAT YOU'LL BRING
- 5+ years of professional experience as a Software Engineer building and operating production software.
- Strong proficiency building modern web applications. Experience with TypeScript, React, Node.js, and MongoDB or similar technologies, with the ability to become productive quickly.
- Familiarity with Model Context Protocol (MCP) and the broader AI tooling ecosystem and the ability to quickly learn emerging AI technologies.
- Experience leveraging AI-assisted development tools and workflows to improve engineering productivity, code quality, and delivery.
- Experience building customer-facing products in close partnership with Product and Design teams.
- A product mindset with the ability to balance customer needs, technical tradeoffs, and business goals.
- Experience using analytics and data to inform engineering and product decisions.
- Strong software engineering fundamentals, including system design, testing, observability, and operational excellence.
- Excellent communication and collaboration skills, with the ability to influence technical decisions across cross-functional teams.
- A track record of taking ownership of ambiguous problems, driving projects from concept to delivery, and mentoring other engineers.
- Experience working on a Growth/Engagement team or in a product engineering role focused on experimentation and customer lifecycle improvements.
- Experience working with business metrics such as activation, engagement, retention, conversion, and monetization to inform product and engineering decisions.
- Experience designing, implementing, or analyzing product experiments (A/B testing, feature flagging, or similar experimentation frameworks).
Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience.
EQUAL OPPORTUNITY
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Location: Singapore, Singapore
OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa
About OKX
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
The Trading Systems team builds the mission-critical order, execution, position, and risk infrastructure that powers OKX’s global trading platform. We operate at the intersection of high performance, correctness, resilience, and scale—where every design decision matters.
We are seeking a Senior C++ Software Engineer to lead the design and evolution of our trading counter and core trading systems. This role is for an engineer who combines deep systems expertise with strong ownership: someone who investigates root causes, raises the quality bar across the engineering lifecycle, and turns individual learning into reusable team capability.
What You’ll Be Doing
Lead the architecture, design, and development of complex, high-performance C++ trading systems.
Design reliable distributed systems, including consistency, fault tolerance, disaster recovery, and resilience strategies across system boundaries.
Own work end to end—from technical proposals and design reviews through framework refactoring, implementation, deployment, production debugging, replay, and validation.
Solve low-level systems challenges involving networking, protocols, concurrency, memory management, performance, and operating-system-level behaviour.
Drive architectural improvements by identifying systemic issues and anti-patterns, such as overly coupled or “God Class” designs, and redesigning components with clear responsibilities.
Build proactive quality safeguards, including automated testing, failure-injection scenarios, stability validation, monitoring, and replay-based verification.
Design controlled experiments to validate architectural assumptions and diagnose complex production issues beyond surface-level symptoms.
Work effectively across heterogeneous technology stacks, making sound engineering decisions at language, service, and platform boundaries.
Independently explore and apply AI-assisted engineering practices across code understanding, solution design, cross-review, incident analysis, test validation, and knowledge capture.
Raise engineering standards through thoughtful code reviews, technical discussions, and continuous improvements to development practices.
Mentor engineers and share practical knowledge through documentation, playbooks, technical sessions, and reusable frameworks.
What We Look For In You
Bachelor’s degree or above in Computer Science, Software Engineering, or a related STEM field; equivalent practical experience is also valued.
5+ years of hands-on software engineering experience, with substantial experience building production C++ systems.
Strong experience designing and evolving complex systems, with a clear understanding of architectural trade-offs.
Proven knowledge of concurrency, multithreading, network programming, and performance optimisation in Linux-based environments.
Hands-on experience with distributed consistency, high availability, fault tolerance, disaster recovery, or other system-level reliability designs.
Strong understanding of computer systems fundamentals, including networking protocols, operating systems, memory, storage, and runtime behaviour.
A track record of taking ownership proactively, from defining the problem to delivering and validating a robust solution.
Exceptional debugging and analytical ability, with a habit of investigating why issues occur—not simply applying short-term fixes.
Experience using automated tests, simulation, replay, or comparative experiments to validate system behaviour and reliability.
Clear communication skills and a collaborative mindset; able to turn experience into documentation, standards, and practices that help the whole team.
Nice to Haves
Experience with exchange, brokerage, trading counter, order management, execution, market data, or other low-latency financial systems.
Experience with event-driven architectures, messaging systems, or high-throughput distributed platforms.
Familiarity with Rust, Java, Go, Python, or other languages used in multi-language production environments.
Practical experience applying AI tools to improve software engineering workflows and code quality.
Experience working with globally distributed, cross-functional engineering teams.
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!
Notice:
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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
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Candidate Privacy Notice
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Задачи:
— Обеспечивать масштабируемость, производительность и надежность системы базы данных.
— Сотрудничать с кросс-функциональными командами для определения, проектирования и выпуска новых функций.
— Устранять и решать сложные проблемы в распределенных средах.
— Профилировать, отлаживать и оптимизировать производительность с использованием инструментов JFR, JMC, async-profiler, VisualVM и собственных методов.
— Поддерживать чистоту и проверяемость кода с помощью Git.
— Разрабатывать и оптимизировать структуры данных для обеспечения лучшего доступа к данным в сценариях с высокой интенсивностью данных.
— Реализовывать оптимальные методы хранения данных на диске и передачи данных по сети между узлами, включая обработку сбоев и восстановление.
— Реализовывать и интегрировать алгоритмы для высокой доступности всего кластера.
— Исследовать недостатки алгоритмов согласованности данных, включая глубокую отладку на многозвенных кластерах и низкоуровневых данных.
Требования:
— Опыт программирования на Java не менее 4 лет.
— Глубокие знания конкурентности в Java и модели памяти Java, а также моделей конкурентности в других системах.
— Отличное знание Java SE, включая IO и внутренние механизмы JVM.
— Опыт работы с SQL базами данных.
— Опыт устранения неполадок в Java-приложениях и/или базах данных.
— Отличные навыки лидерства, решения проблем и отладки.
— Опыт эффективной работы в быстро меняющейся, совместной среде.
— Глубокие знания SQL (MariaDB, MySQL, PostgreSQL, Apache Ignite, GridGain) и страсть к распределенным системам (Raft, MVCC, ACID и др.).
— Понимание MVCC, P2PL и различий между Snapshot Isolation и REPEATABLE READ.
— Преимуществом будет опыт с NoSQL и/или распределенными базами данных.
— Опыт построения высоконагруженных распределенных систем и алгоритмов.
— Опыт работы с Docker, Kubernetes и/или публичными облаками (AWS, GCE, Azure).
— Опыт участия в open-source проектах, автоматизации или тестировании производительности/нагрузки.
— Активное использование AI.
Условия:
— Удаленная работа из указанных стран: Грузия, Хорватия, Эстония, Финляндия, Италия, Польша, Румыния, Сербия, Испания, Армения, Кипр.
— Возможность удаленной или гибридной работы (зависит от локации).
— Конкурентная оплата, 25 дней оплачиваемого отпуска плюс праздничные дни.
— Культура, ценящая креативность и чистую инженерную практику.
— Глобальная распределенная команда с ощутимым и ценным вкладом.
Прочее:
— MariaDB не спонсирует рабочие визы и не предоставляет помощь с релокацией.
— Компания стремится обеспечить доступность для людей с ограниченными возможностями в процессе подачи заявки и интервью.
Задачи:
— Выполнять как ручное, так и автоматизированное тестирование, обеспечивая полное покрытие тестами и высокие стандарты качества для SaaS-решения.
— Тесно взаимодействовать с членами команды разработки и продуктовой команды для обеспечения ценности для клиентов.
— Сотрудничать с тестировщиками и инженерами по программному обеспечению для улучшения технической эволюции продукта и совершенствования практик разработки.
— Анализировать отчёты об ошибках программного обеспечения и выявлять проблемные области, обеспечивая соблюдение высоких стандартов качества.
— Работать с распределёнными командами для развития продукта.
— Следить за последними тенденциями отрасли для внедрения технических и процессных улучшений.
Требования:
— Степень бакалавра в области компьютерных наук и/или информационных систем.
— Опыт работы не менее 2 лет в области тестирования программного обеспечения / автоматизации тестирования.
— Знание принципов обеспечения качества программного обеспечения и способов его улучшения.
— Интерес к развитию навыков автоматизации тестирования.
— Опыт работы с Playwright, Selenium, Cypress или аналогичными инструментами будет плюсом.
— Знание утверждённых фреймворков автоматизации тестирования в условиях быстрого Agile-окружения.
— Энтузиазм в области облачной архитектуры и умение выбирать подходящую архитектуру для каждого проекта.
— Умение находить баги и подробно описывать их с технической информацией.
— Опыт улучшения практик и процессов тестирования.
— Знакомство с UI-тестированием и API-тестированием RESTful сервисов (.NET).
— Хорошее понимание .NET, C#, Typescript или других объектно-ориентированных языков программирования.
Что поможет добиться успеха:
— Высокая ответственность за тестирование и доведение вопросов до решения.
— Любознательность и умение задавать вопросы при неясных требованиях.
— Внимание к деталям, выявление проблем и крайних случаев.
— Чёткое общение и сотрудничество с QA, продуктовой и инженерной командами.
— Мотивация к постоянному развитию навыков QA, особенно в автоматизации тестирования.
Условия:
— Полная занятость, удалённая работа.
— Бонусы на основе результатов работы.
— Программа опционов для сотрудников (ESOP).
— Медицинская и страхование жизни.
— Ваучеры на питание.
— Гибкий график работы.
— Дополнительный выходной в день рождения.
— Современная рабочая среда с открытой культурой и современными инструментами.
— Система наставничества при адаптации и обучении с опытными специалистами.
— Участие в конференциях, семинарах и отраслевых мероприятиях.
— Командные мероприятия и инициативы по благополучию.
— Компания является работодателем с равными возможностями, ценит разнообразие и не допускает дискриминации по различным признакам.
УдалённоseniorRemote - Canada
ГибридFoster City, CA
Singapore, Singapore
seniorCanada (Remote)
seniorUnited States (Remote)
ГибридСтажёрSan Francisco, California; New York, New York
Americas Remote
Oakland, California, United States
УдалённоArgentina Remote
География найма не уточнена
УдалённоseniorCanada Remote
seniorSingapore, Singapore
Удалённо
middle
Remote, Greece
Все вакансии в одном месте - страница 15 · Job Hunters
