Location: Hybrid - San Francisco, New York City
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
We’re looking for a Software Engineer to join our Platform team. You will build the observability systems that give Vercel visibility into how we build, ship, and operate our systems. Core Platform owns Vercel’s reliability, resilience, and engineering velocity. We’re looking for engineers to create observability for everything from cost attribution to deployment velocity, alongside the logs, metrics, and traces necessary to optimize how Vercel builds its systems. This is a role with a wide breadth where we quickly develop critical systems and improve the entire Vercel code base. You will report to Eric Larson, Engineering Manager, Platform and will be located onsite, hybrid, or remote.
If you’re based within a pre-determined commuting distance of one of our offices (SF, NY, London, or Berlin), the role includes in-office anchor days on Monday, Tuesday, and Friday, even if the role is listed as remote. For location-specific details, please connect with our recruiting team.
What you'll do
Design and build high-scale, internal observability systems (metrics, logs, and traces) that give engineering and the business visibility into Vercel's own infrastructure.
Build cost attribution and chargeback tooling so spend can be accurately mapped to the parts of the business driving it, reducing reliance on third-party tools like Datadog.
Partner with Backend and Platform teams to instrument services for compliance, auditing, and record-keeping requirements.
Evaluate, integrate, and help operate observability infrastructure across our existing vendors and the CNCF ecosystem.
Ship pragmatic, high-leverage visibility quickly that drives improvement in how we build, deploy, and operate our systems.
Work closely with Backend and Platform engineers to scale observability infrastructure to the throughput and cardinality of Vercel's full production traffic.
What you need
Proficient in TypeScript, with backend/infrastructure experience.
Hands-on experience with Go, Rust, or Zig in production systems.
Experience with distributed computing systems at scale.
Experience with cloud infrastructure, including object storage.
Familiarity with observability tooling and concepts (Datadog, Grafana, New Relic, Splunk, or CNCF-based stacks such as Prometheus-compatible backends).
Bonus if you
Have contributed to or worked closely with CNCF observability projects.
Built, scaled, and improved internal developer platforms.
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 San Francisco, CA base pay range for this role is $208,000-$312,000. 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: San Francisco; New York
Workplace: Remote
ABOUT US:
AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL.
Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now.
Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale.
We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation.
Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience.
ABOUT THE ROLE:
We're hiring the first Account Managers at Modal. You'll report to the Regional Director of Account Management and be a founding member of the team.
This function does not exist yet. There is no playbook, no territory map, no established motion. You'll own a book of business from day one and build the motion at the same time — from fast-moving AI startups to large enterprise teams running critical infrastructure on Modal.
This is a commercial role with a revenue target. You'll be measured on retention and expansion across your accounts. While you won't be delivering the technical recommendations and implementation, the work is technical by nature. Our customers are engineers running GPU workloads, inference, and batch jobs in production, and you need to hold your own in those conversations.
The profile we're hiring is a technical account manager. You've worked at companies that are deeply technical and consumption in nature. You bring the commercial instincts to grow revenue from an existing base and enough technical depth to know which conversation actually matters. And you can credibly work with a CxO all the way down to a Developer.
WHAT THE ROLE IS:
- A founding seat. You're helping build the AM function with us, not joining one that already runs. The account plans, expansion motions, and customer cadence you and the rest of the founding team figure out are what we scale to every AM we hire after you.
- A technical customer-facing role. You'll work directly with Developers and ML teams on what they're building and how Modal fits. You translate and triage the deeper technical work to FDEs and Product when it's needed.
- A book of business. You’ll own a set of accounts and be responsible for the revenue that comes from them. Expect to be meeting with customers in your first few days because the best playbooks are built from real experiences.
WHAT THE ROLE IS NOT:
- A traditional post-sales role. You're measured on revenue, not health scores.
- An on-call support function. You're not fixing bugs or triaging tickets. You're driving growth.
- A technical delivery role. You're not implementing for the customer. You know where the technical work goes and you pull in the right people.
- An inherited motion. Nothing is handed to you. If you identify gaps in process, tooling, or a playbook — you help build it.
- A single-lane job. Our priorities go customer → company → team → me. We focus on delivering maximum impact vs. "this is my job".
WHAT YOU'LL ACHIEVE:
- Build Modal's account management function and iterate on it as we scale the business
- Own and deliver on a revenue target across your book of accounts
- Grow an account's first use case, expand into a second, and drive standardization across the Modal platform
- Get fluent enough in Modal to hold your own with engineering teams on their workloads, and know when to pull in FDEs, Support, or Product
- Work with Sales, Solutions Architects, FDEs, Support, and Product to grow accounts and feed customer signal back into the roadmap
- Travel to customers as needed to support key accounts and drive expansion opportunities
WHAT YOU'LL NEED TO BRING:
- Customer-facing experience. You've owned a revenue target or supported a revenue target in a highly technical, consumption business.
- Technical depth. You work autonomously with Developers through CxOs and understand the core parts of the developer tech stack.
- AI builder. You're hands on building with AI tools — not just consuming workflows that were built for you.
- Ownership. You run your book of business and projects like you're the CEO of it. You're highly organized bringing stability, predictability, and pace to your work. You take action vs. waiting for direction.
- Learning velocity. You operate with the mindset of what I can do today vs. let me pick this up tomorrow. You move fast, take the learnings, and iterate on it.
- Cross-functional partner. Low ego, easy to work with, and highly accountable. You ask for feedback, you act on it, and you'd rather be corrected early than right late. Internal teams love working with you.
NICE-TO-HAVE:
- Experience as a Technical Account Manager, Solutions Engineer, Solutions Consultant, or similar type role
- Certification as an engineer (ex. Computer Science Degree, Professional Bootcamps)
- Early GTM hire experience at a fast-growing startup
- You've sat close to GPU spend, model training, or inference workloads
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 position. We are seeking candidates in US and Canada (EST/CST time zones)
The Opportunity
About Grafana Frontend
The Grafana Frontend group is responsible for the end to end user experience on Grafana the observability product and Grafana the platform used by many engineers to build plugins. Our squads are responsible for dashboards, data visualization and manipulation, navigation across the ecosystem, sharing experience, content search,organisation and more.
You'll also have the opportunity to work across the Grafana Frontend team and partner with other squads within the Grafana department to drive innovation and solve complex engineering challenges.
The squad: DataViz
We build and evolve the Grafana Visualizations. We want to give our users the ability to visualize their data in a way that’s easy to set up and understand, so they can pull out interesting and valuable insights.
Some of our recent projects include:
Externalisation of our core visualization to be independently releasable and remove interdependencies
GraphViz
: Visualize relationships, flows, and architectures using the Graphviz DOT language with live metrics from any Grafana data source.
Raising the bar on quality and reliability: improving our test coverage, introduce a new testing strategy and tooling for visual regressions
Refresh the look and feel of our existing
visualizations
. E.g
Table
and
Gauge
Our work is open source, you can browse
grafana/grafana on GitHub
directly to see how we build our software. Our stack is primarily Typescript, React, and
uPlot
and
eCharts
for our visualisations.
What you’ll be doing
Lead multi-quarter technical initiatives from problem framing through rollout. Including getting user feedback and measuring whether what you shipped actually worked
Mentor and collaborate with other engineers. Raise the engineering bar through code review, design feedback, pairing on hard problems, and writing that leaves the team better than you found it.
Participate in on-call for the services you help build, and be a force multiplier in incident response and post-incident learning.
Provide technical support in customer escalations and help us identify areas of high friction to address.
Cross-squad collaboration: Represent the team's work outside the team, write the design proposals, run the demos, and make the case for our roadmap in cross-team discussion.
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:
We highly value those who are
intellectually curious
, who
default to transparency
, possess a high
bias towards action
, and who are also
kind and enjoy working as a team
.
Technical leadership
. You have solid experience leading teams through projects, mentoring other engineers and serving as a force-multiplier. You communicate clearly in a fully remote, asynchronous environment.
You
take responsibility for operating the software you have built
. You have experience being on-call, supporting software in production, ensuring reliability and responding to incidents as needed.
You
enjoy working on complex solutions
, building production software systems. You’re a self-starter, capable of tackling complex engineering problems with minimal supervision.
User focus and pragmatism
. You break complex problems into short feedback loops: analyze, design, deliver an MVP, learn, iterate.
AI experience with a practical mindset
: You’re familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory.
You
care about our community
of users and contributors and are keen to be an active Grafana Community Contributor.
Bonus points for:
Open-source contribution or maintainership, and comfort engaging a community in the open.
Have an active interest in observability (Metrics, Logs and Traces) and have experience with tools like Grafana, Prometheus, or other observability platforms.
Experience as an on-call user of Grafana, Prometheus, Loki, or Tempo in a previous role (or on a homelab).
Experience in a fully remote, globally distributed team.
In Canada, the compensation range for this role is $186,368 - $223,642 CAD. Actual compensation may vary based on level, experience, and skillset as assessed throughout 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 seeking candidates in US and Canada (EST/CST time zones)
The Opportunity
About Grafana Frontend
The Grafana Frontend group is responsible for the end to end user experience on Grafana the observability product and Grafana the platform used by many engineers to build plugins. Our squads are responsible for dashboards, data visualization and manipulation, navigation across the ecosystem, sharing experience, content search,organisation and more.
You'll also have the opportunity to work across the Grafana Frontend team and partner with other squads within the Grafana department to drive innovation and solve complex engineering challenges.
The squad: DataViz
We build and evolve the Grafana Visualizations. We want to give our users the ability to visualize their data in a way that’s easy to set up and understand, so they can pull out interesting and valuable insights.
Some of our recent projects include:
Externalisation of our core visualization to be independently releasable and remove interdependencies
GraphViz
: Visualize relationships, flows, and architectures using the Graphviz DOT language with live metrics from any Grafana data source.
Raising the bar on quality and reliability: improving our test coverage, introduce a new testing strategy and tooling for visual regressions
Refresh the look and feel of our existing
visualizations
. E.g
Table
and
Gauge
Our work is open source, you can browse
grafana/grafana on GitHub
directly to see how we build our software. Our stack is primarily Typescript, React, and
uPlot
and
eCharts
for our visualisations.
What you’ll be doing
Lead multi-quarter technical initiatives from problem framing through rollout. Including getting user feedback and measuring whether what you shipped actually worked
Mentor and collaborate with other engineers. Raise the engineering bar through code review, design feedback, pairing on hard problems, and writing that leaves the team better than you found it.
Participate in on-call for the services you help build, and be a force multiplier in incident response and post-incident learning.
Provide technical support in customer escalations and help us identify areas of high friction to address.
Cross-squad collaboration: Represent the team's work outside the team, write the design proposals, run the demos, and make the case for our roadmap in cross-team discussion.
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:
We highly value those who are
intellectually curious
, who
default to transparency
, possess a high
bias towards action
, and who are also
kind and enjoy working as a team
.
Technical leadership
. You have solid experience leading teams through projects, mentoring other engineers and serving as a force-multiplier. You communicate clearly in a fully remote, asynchronous environment.
You
take responsibility for operating the software you have built
. You have experience being on-call, supporting software in production, ensuring reliability and responding to incidents as needed.
You
enjoy working on complex solutions
, building production software systems. You’re a self-starter, capable of tackling complex engineering problems with minimal supervision.
User focus and pragmatism
. You break complex problems into short feedback loops: analyze, design, deliver an MVP, learn, iterate.
AI experience with a practical mindset
: You’re familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory.
You
care about our community
of users and contributors and are keen to be an active Grafana Community Contributor.
Bonus points for:
Open-source contribution or maintainership, and comfort engaging a community in the open.
Have an active interest in observability (Metrics, Logs and Traces) and have experience with tools like Grafana, Prometheus, or other observability platforms.
Experience as an on-call user of Grafana, Prometheus, Loki, or Tempo in a previous role (or on a homelab).
Experience in a fully remote, globally distributed team.
In the United States, the compensation range for this role is $174,986 - $209,983 USD. Actual compensation may vary based on level, experience, and skillset as assessed throughout 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
.
About the Role
We are looking for a unique Senior Backend Engineer who bridges the gap between powerful infrastructure and scalable, maintainable application architecture. You are as comfortable managing Kubernetes clusters as you are architecting complex server-side logic and ensuring long-term code health. In this role, you will own the full lifecycle: designing robust RESTful architectures, orchestrating containers via Kubernetes, and building systems that are as resilient as they are efficient.
Key Responsibilities
You’ll create and develop Kubernetes Operators using Go & Operator SDK, implemented as microservices.
End-to-End Development: Design and develop high-performance web applications with a focus on high availability architectures and disaster recovery scenarios.
Infrastructure & Orchestration: Manage containerized environments using Kubernetes or Docker Swarm (including deployment, scaling, and health.
Requirements
7+ years of professional experience in Backend development, with minimum 5 years of experience in Go.
Experience as a Tech lead/Team lead.
Hands-on production experience with Kubernetes.
Experience using Go & Operator SDK
Experience with AWS. (proven experience developing and maintaining operators for managing resources in AWS)
Advantage
Proficiency in modern server-side languages such as Node.js, Python or Rust.
Experience with GCP or Azure.
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.
ABOUT THE ROLE
This is an opportunity to serve as a key partner and advisor on Notion’s Business Operations team, working primarily with our Engineering, Product, & Design teams. Business Operations is a cross-functional team that partners with senior leaders across the company, focusing on high-impact strategic projects and analysis. In this role, you’ll work hand-in-hand with leadership to identify, structure, and act on the most challenging strategic and operational questions impacting our business.
This role is based in San Francisco, CA. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days.
WHAT YOU'LL ACHIEVE
- Build trusted relationships with cross-functional leaders to define and implement strategy across all Notion products, driving increased value to our users and our business
- Structure complex, ambiguous strategic problems for the Notion leadership team, defining clear hypotheses and building detailed business cases and quantitative models that will inform and influence our approach
- Work closely with cross-functional leaders to define and manage key drivers of business performance, identifying areas of opportunity and incorporating them into your work
- Develop a comprehensive understanding of our competitive positioning by using, assessing, and developing insights about peer businesses to inform your recommendations
- Deeply understand Notion customers and the broader market landscape to uncover insights that inform your recommendations
- Create scalable solutions that combine a broad vision for what is possible with an understanding of the practical demands that constrain them
SKILLS YOU'LL BRING
- 5+ years of strategy experience, including 2+ years of experience in management consulting or a related field
- Excellent quantitative and financial modeling skills, with the attention to detail and quality bar required for decisions that affect products and the business
- Outstanding executive-level written and verbal communication skills; can operate independently with senior stakeholders and manage relationships, deliverables, and timelines with minimal supervision
- Genuine enthusiasm for and proficiency with AI tools; we use AI across the board to move faster and work smarter, and you do too
- Hands-on fluency with modern AI tools such as Notion AI, Claude, ChatGPT, or similar; you actively experiment with new models and workflows and use judgment to apply them responsibly
- Data self-sufficiency, including working knowledge of SQL and the ability to access, assess, and synthesize relevant data without relying on outside support
- Comfort working in a high-growth, constantly changing environment with passion and enthusiasm
NICE TO HAVES
- Prior experience in strategy and operations in B2B SaaS businesses
- Experience with pricing & packaging, especially for AI products
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, the estimated base salary range for this role is $150,000 - $175,000 per year.
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: Poland
OUR HIRING PROCESS:
We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment.
We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team.
At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team.
From there on, it’s decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live.
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Privacy Policy
We're looking for Senior AI Engineers to design, build and run LLM-powered agents and AI features in production. You'll work across the full lifecycle: from scoping a use case with stakeholders, through architecture and development, to deployment, evaluation and ongoing improvement.
This is a hands-on role for engineers who think like product owners: you understand the business problem, define what success looks like in numbers, ship to real users, and own the result after launch.
Our stack: Python and TypeScript/Node.js, PostgreSQL, Kafka, Docker, GitHub Actions, AWS. We run multiple LLM providers (Anthropic, OpenAI, Google, AWS Bedrock and others) behind a shared LLM gateway, with MCP for tool access. We work AI-native: agentic coding tools are part of how engineering gets done here, and we provide official Anthropic Claude certification for our engineers.
As part of our team, your responsibilities in this role will include:
Design and build LLM agents and agentic workflows: tool use via MCP, structured outputs, retrieval (RAG), multi-step orchestration, human review steps where needed.
Build and maintain MCP servers and tool layers that give agents governed access to company data and systems.
Own quality and cost: evals and golden sets, per-agent telemetry (tokens, cost, latency, accuracy), prompt and model versioning, provider failover and model routing.
Ship through CI/CD like any other production service: tests and evals in the pipeline, containerized deploys, monitoring, rollbacks.
Contribute to shared platform pieces: the agent template, the LLM gateway, observability.
Work directly with business stakeholders to scope, prioritize and validate use cases. Push back when something doesn't need an agent.
Use AI coding tools daily. Claude Code is our default; deep experience with a comparable agentic tool also works. You drive the tool, verify its output and catch its mistakes.
Our ideal candidate possesses the following skills:
5+ years of software engineering experience, with production systems you've designed, shipped and supported.
Proven experience building LLM-based agents or agentic workflows that reached production with real users.
Hands-on experience with agent frameworks and SDKs: Claude Agent SDK, Claude Managed Agents, Pydantic AI, LangGraph or similar. You can also explain what you'd build without one.
Hands-on experience with MCP and RAG: you've built MCP servers or equivalent tool layers, and retrieval pipelines over real, messy data.
Experience with multiple LLM providers and with AWS Bedrock: model selection, routing, fallbacks, cost and rate-limit management.
Strong Python and SQL. Comfortable in TypeScript/Node.js.
Solid production engineering on AWS: Docker, CI/CD, testing, observability.
Product thinking and business focus: you start from the problem and its cost, define success in measurable terms, and own outcomes.
Daily use of agentic coding tools (Claude Code, Codex, Cursor or similar), with the judgment to verify what they produce.
Clear communication with technical and non-technical stakeholders, in English.
Nice to have:
LLM observability or gateway tooling (Langfuse, LiteLLM, OpenTelemetry for LLM traces or similar).
B2B contact and company data: enrichment, deduplication, matching.
Cloud operations or FinOps: monitoring, incident handling, cost management.
Event-driven or workflow-engine experience (Kafka, Temporal or similar).
Experience replacing no-code or workflow-tool automations with production code.
What we offer:
Fully remote work format;
A collaborative and creative environment that values initiative and experimentation;
Paid time off and sick leave;
Reduced working hours on Fridays during the summer;
Days-off on US national holidays + your birthday;
Schedule: 14 PM - 23 PM EEST (Kyiv time).
Задачи:
— Разработка новых backend-сервисов на Go и улучшение существующих продуктов CHW Services
— Интеграция внешних провайдеров через REST и внутренних сервисов через gRPC и Kafka
— Рефакторинг устаревших сервисов для снижения затрат на поддержку, упрощения архитектуры, устранения технического долга и улучшения покрытия тестами
— Улучшение мониторинга, логирования, алертинга и безопасности финансовых потоков
— Поддержка production-систем, расследование инцидентов и отслеживание жизненного цикла операций от начала до конца
— Технический менторинг внутри команды
Требования:
— Опыт работы с операциями с деньгами в продакшене в fintech или крипто: холды, дебеты, кредиты, балансы, жизненный цикл транзакций и сверка
— Глубокое понимание безопасного хранения и перемещения денег между системами: десятичная точность, ключи операций, идемпотентность, консистентность и аудит
— Опыт работы с Go, PostgreSQL, gRPC / REST и Kafka в продакшене
— Практический опыт применения микросервисных паттернов в финансовых системах: Saga, компенсации, распределённые транзакции, outbox, идемпотентные потребители и циклы сверки
— Опыт интеграции внешних провайдеров через REST с учётом таймаутов, статусов на стороне провайдера, отложенных отмен и сверки «наша сторона / их сторона»
— Глубокие знания PostgreSQL: транзакции, уровни изоляции, уникальные ограничения, блокировки, индексы и EXPLAIN
— Знания Kafka: партиции, группы потребителей, оффсеты, ребалансировка, гарантии доставки, упорядоченность и безопасное горизонтальное масштабирование
— Активное использование AI-агентов в разработке с практическим пониманием рабочих процессов, основанных на спецификациях, и построения хранилищ
Условия:
— Полностью удалённая работа из любой точки мира
— Гибкий график с ориентацией на результат
— 20 оплачиваемых отпускных дней + 12 дополнительных бонусных дней
— 100% оплата больничных
— Оплачиваемые уроки английского языка
— Поддержка курсов, сертификаций и обучающих программ
— Реальная ответственность в проектах fintech и криптоинфраструктуры
Задачи:
— Анализ запроса клиента, выявление потребностей и ограничений.
— Формирование общего видения проекта: концепции, ключевых решений и приоритетов.
— Формирование scope работ и брифа для команды.
— Декомпозиция производственного процесса, формирование backlog и планирование этапов реализации.
— Планирование сроков, задач и ресурсов проекта.
— Координация работы разных направлений: разработки, контента, production/event-команды и внешних подрядчиков.
— Сбор и согласование смет, контроль бюджета проекта.
— Контроль сроков и качества реализации на всех этапах.
— Выявление рисков и узких мест проекта, своевременная работа с ними.
— Организация регулярных синхронизаций и обеспечение прозрачности статусов внутри команды.
— Коммуникация с клиентом по проектным и техническим вопросам, презентация и защита решений.
— Сопровождение проекта на площадке при необходимости.
— Сбор обратной связи после релиза и формирование следующих этапов развития продукта.
Требования:
— Опыт управления сложными digital / IT / production-проектами.
— Опыт работы с кросс-функциональными командами и внешними подрядчиками.
— Умение держать одновременно общее видение проекта и его операционную реализацию.
— Навыки декомпозиции задач, планирования и приоритизации.
— Опыт управления сроками, ресурсами и рисками проекта.
— Понимание принципов формирования и контроля бюджета проекта.
— Уверенные навыки коммуникации с клиентами и командой.
— Самостоятельность, системность и умение принимать решения в условиях изменений.
— Умение доводить проект от идеи и планирования до готового результата.
Преимущества:
— Опыт работы с Unreal Engine / XR / interactive-проектами.
— Опыт в game development или технологическом production.
— Опыт работы с проектами, в которых одновременно задействованы разработка, визуальный контент и event-production.
— Опыт сопровождения проектов непосредственно на площадке / LiveOps.
— Технический бэкграунд или хорошее понимание процессов разработки.
Условия:
— Работа над технологичными XR и interactive-проектами.
— Индивидуальное обсуждение формата работы и уровня оплаты.
— Работа по ИП или самозанятости.
— Возможность долгосрочного сотрудничества.
Задачи:
— Администрировать продуктивные и тестовые кластеры ClickHouse, контролировать состояние шардов, реплик, Distributed-таблиц и ReplicatedMergeTree-таблиц;
— Диагностировать replication queue, merges, mutations, inserts, деградацию запросов и проблемы с дисковой подсистемой;
— Анализировать системные таблицы ClickHouse и состояние кластера;
— Участвовать в изменении топологии кластера: добавление шардов, реплик, серверов, изменение Distributed-таблиц;
— Планировать горизонтальное масштабирование ClickHouse-кластера;
— Оптимизировать схемы данных, партиционирование, ключи сортировки, TTL, индексы, storage policy и настройки сервера;
— Работать с хранением данных: локальные диски, LUN, DAS, hot / warm storage, S3-совместимое хранилище;
— Прорабатывать дедупликацию данных, повышение уровня сжатия и механизм токенизации / full text search по событиям;
— Настраивать и сопровождать ClickHouse Keeper / ZooKeeper;
— Настраивать TLS/SSL для клиентских подключений и межсерверного взаимодействия;
— Разрабатывать и проверять backup/restore и disaster recovery;
— Настраивать мониторинг, алерты и дашборды по ClickHouse;
— Готовить Ansible playbooks / roles, runbook’и, инструкции, чек-листы и технические отчёты.
— Администрировать продуктивные и тестовые инсталляции MariaDB;
— Контролировать состояние серверов, репликации, соединений, транзакций, блокировок и фоновых процессов;
— Настраивать и сопровождать репликацию: master-slave, master-master, GTID-based replication;
— Диагностировать replication lag, ошибки SQL thread / IO thread, рассинхронизацию данных и конфликты при master-master-схемах;
— Участвовать в миграции MariaDB с master-master-репликации на Galera Cluster;
— Настраивать, сопровождать и диагностировать Galera Cluster;
— Прорабатывать HA-архитектуру MariaDB: failover, fencing, VIP / proxy layer, split-brain-риски;
— Разрабатывать и проверять disaster recovery-сценарии, RPO / RTO и восстановимость резервных копий;
— Анализировать производительность: slow queries, EXPLAIN, индексы, locks, deadlocks, buffer pool, connection pool, disk IO;
— Оптимизировать конфигурацию MariaDB с учётом нагрузки, объёма данных, RAM, CPU, дисковой подсистемы и сети;
— Настраивать TLS/SSL для клиентских подключений и репликации;
— Настраивать мониторинг, алерты, дашборды и runbook’и по MariaDB.
— Участвовать в расследовании production-инцидентов, связанных с ClickHouse, MariaDB, Linux, сетью или дисковой подсистемой;
— Анализировать метрики, логи, системные таблицы, состояние репликации, блокировки, диски, сеть и конфигурации;
— Формулировать технические гипотезы, проверять их и отделять первопричину от сопутствующих факторов;
— Готовить технические выводы по итогам инцидентов и участвовать в postmortem-разборах;
— Разворачивать тестовые стенды ClickHouse и MariaDB для проверки архитектурных решений;
— Проверять обновления, изменение топологии, расширение хранилища, storage policy и параметры ClickHouse / MariaDB до применения в production;
— Автоматизировать типовые операции через Ansible / Bash / Python / Terraform или аналогичные инструменты;
— Взаимодействовать с заказчиками, объяснять технические риски понятным языком, предлагать решения и лидировать технические обсуждения.
Требования:
— Практический опыт промышленной эксплуатации ClickHouse;
— Понимание архитектуры ClickHouse: shards, replicas, Distributed tables, ReplicatedMergeTree, MergeTree family;
— Опыт диагностики replication queue, merges, mutations, insert/select latency, деградации запросов и проблем с дисковой подсистемой;
— Понимание партиционирования, ключей сортировки, TTL, storage policies, disks, volumes, data skipping indexes;
— Опыт изменения топологии ClickHouse-кластера или глубокое понимание порядка и рисков таких изменений;
— Опыт настройки TLS/SSL для ClickHouse;
— Опыт эксплуатации MariaDB в продуктивной или близкой к продуктивной среде;
— Понимание MariaDB, InnoDB, транзакций, индексов, блокировок, deadlocks, isolation levels;
— Опыт настройки и диагностики репликации MariaDB;
— Понимание GTID, binary logs, relay logs, replication lag, failover и рисков master-master-репликации;
— Опыт настройки backup/restore MariaDB и проверки восстановимости резервных копий;
— Опыт диагностики производительности MariaDB: slow query log, EXPLAIN, индексы, locks, buffer pool, disk IO;
— Опыт эксплуатации Linux-серверов;
— Понимание влияния CPU, RAM, disk IO, network и filesystem на работу ClickHouse и MariaDB;
— Опыт настройки мониторинга и алертов для ClickHouse, MariaDB и инфраструктуры;
— Опыт работы с Prometheus, Grafana, Zabbix или аналогичными системами мониторинга;
— Опыт автоматизации через Ansible, Bash, Python или аналогичные инструменты;
— Умение аккуратно проводить изменения в production: план работ, оценка рисков, rollback-план, проверка результата;
— Умение писать техническую документацию: инструкции, runbook’и, чек-листы, postmortem-отчёты.
Желательные требования:
— Опыт или уверенное понимание Galera Cluster;
— Опыт эксплуатации ClickHouse и MariaDB в составе SIEM, SOC, log management, observability, telemetry или других высоконагруженных систем;
— Опыт работы с большими объёмами данных: десятки или сотни ТБ;
— Опыт работы с ClickHouse Keeper или ZooKeeper;
— Опыт эксплуатации ClickHouse / MariaDB на bare metal;
— Опыт работы с LUN, DAS, локальными дисковыми массивами и S3-совместимыми объектными хранилищами;
— Опыт нагрузочного тестирования ClickHouse и MariaDB;
— Опыт построения процедур disaster recovery;
— Опыт подготовки архитектурных и эксплуатационных документов для заказчиков;
— Опыт работы с ProxySQL, MaxScale, HAProxy, Keepalived, Pacemaker / Corosync или аналогичными решениями;
— Опыт проведения регламентных работ с минимальным downtime;
— Опыт аудита продуктивных инсталляций у заказчиков.
Условия:
— Постоянная занятость;
— Работа с продуктивной, тестовой и лабораторной инфраструктурой;
— Взаимодействие с командой эксплуатации, инженерами SIEM, разработчиками, архитекторами и техническими представителями заказчика;
— Участие в планировании изменений, разборе инцидентов и развитии архитектуры хранения данных.
Задачи:
— Анализ запроса клиента, выявление потребностей и ограничений.
— Формирование общего видения проекта: концепции, ключевых решений и приоритетов.
— Формирование scope работ и брифа для команды.
— Декомпозиция производственного процесса, формирование backlog и планирование этапов реализации.
— Планирование сроков, задач и ресурсов проекта.
— Координация работы разных направлений: разработки, контента, production/event-команды и внешних подрядчиков.
— Сбор и согласование смет, контроль бюджета проекта.
— Контроль сроков и качества реализации на всех этапах.
— Выявление рисков и узких мест проекта, своевременная работа с ними.
— Организация регулярных синхронизаций и обеспечение прозрачности статусов внутри команды.
— Коммуникация с клиентом по проектным и техническим вопросам, презентация и защита решений.
— Сопровождение проекта на площадке при необходимости.
— Сбор обратной связи после релиза и формирование следующих этапов развития продукта.
Требования:
— Опыт управления сложными digital / IT / production-проектами.
— Опыт работы с кросс-функциональными командами и внешними подрядчиками.
— Умение держать одновременно общее видение проекта и его операционную реализацию.
— Навыки декомпозиции задач, планирования и приоритизации.
— Опыт управления сроками, ресурсами и рисками проекта.
— Понимание принципов формирования и контроля бюджета проекта.
— Уверенные навыки коммуникации с клиентами и командой.
— Самостоятельность, системность и умение принимать решения в условиях изменений.
— Умение доводить проект от идеи и планирования до готового результата.
Преимущества:
— Опыт работы с Unreal Engine / XR / interactive-проектами.
— Опыт в game development или технологическом production.
— Опыт работы с проектами, в которых одновременно задействованы разработка, визуальный контент и event-production.
— Опыт сопровождения проектов непосредственно на площадке / LiveOps.
— Технический бэкграунд или хорошее понимание процессов разработки.
Условия:
— Работа над технологичными XR и interactive-проектами.
— Индивидуальное обсуждение формата работы и уровня оплаты.
— Работа по ИП или самозанятости.
— Возможность долгосрочного сотрудничества.
Responsibilities:
— Develop high-quality features and improvements in React and TypeScript, focusing on maintainability and readability.
— Own features end-to-end across the UI, BFF, and async jobs, integrating with Java backend services.
— Integrate UI with backend services, consuming and shaping their APIs.
— Participate in design discussions and contribute to UI architecture, state boundaries, and API contracts.
— Build and maintain BFF endpoints using Node.js and Fastify for UI-specific data shaping.
— Design async flows for long-running analyses using BullMQ, ensuring retry-safe, idempotent jobs with clear UI status.
— Optimize data-heavy reporting views with virtualization, pagination, and backend aggregation.
— Use AI-assisted development tools (e.g., Claude CLI / Claude Code) efficiently, applying good judgment.
— Evaluate trade-offs considering simplicity, cost, stability, and performance.
— Collaborate with the team to break down work, estimate tasks, and deliver incrementally.
— Work closely with backend, product, and data teams for smooth feature integration.
— Engage actively in code reviews to maintain high-quality standards.
— Keep up with industry trends and suggest practical improvements.
Qualifications:
— 7+ years of hands-on frontend development experience with strong React and TypeScript skills.
— Experience owning frontend features end-to-end in production with clear separation of concerns and safe typing across API boundaries.
— Solid understanding of frontend performance and scalability including re-render costs, virtualization, pagination, and progressive loading.
— Comfortable working across frontend/backend boundaries, integrating with backend services and designing API contracts.
— Proficient with AI-assisted development tools, able to decompose complex tasks, supervise workflows, review generated code critically, and ensure correctness, security, testing, and maintainability.
— Experience with Vite (build configuration, code-splitting, developer experience) is a plus.
— Experience with SQL and NoSQL databases.
What we offer:
— Referral Program to help grow the team.
— Premium IT Equipment such as MacBook Pro or hardware of choice.
— Excellent work-life balance with flexible hours and full remote possible.
— Competitive compensation and benefits package.
— Opportunity to work alongside top experts worldwide contributing to the Java ecosystem.
Задачи:
— Разрабатывать backend-сервисы на C++20 для электронной трейдинговой платформы.
— Работать с логикой переговоров и исполнения сделок.
— Разрабатывать интеграции с внутренними и внешними системами.
— Работать с микросервисной и распределенной архитектурой.
— Участвовать в проектировании новой функциональности.
— Разбираться с проблемами в production вместе с QA и Support.
— Работать в международной команде разработчиков и представителей бизнеса.
Требования:
— 5+ лет коммерческой разработки на C++.
— Сильный C++17/20.
— Хорошее понимание STL, templates и generic programming.
— RAII, object lifetime, data structures & algorithms.
— Базовое понимание multithreading и concurrency.
— Опыт разработки под Linux.
— Опыт работы со сложными backend / distributed systems.
— Умение самостоятельно разбираться в проблемах, сообщать о блокерах и нормально работать с командой.
— Английский B2+.
Будет большим плюсом:
— Опыт в electronic trading / financial markets.
— Знание FIX, market data, exchanges, order management.
— Опыт с fixed income / equities / derivatives.
— Опыт с FlatBuffers / Protobuf.
— Опыт с Redis, messaging / pub-sub.
— Знание Python.
— Опыт с CMake / Conan.
Условия:
— Долгосрочная работа над большой production-системой, без коротких проектов и bench.
— Международная команда сильных C++ инженеров.
— Полностью удаленный формат работы.
— Локации: Польша, Португалия, Испания, Грузия.
— Релокационный пакет в Польшу.
Задачи:
— заниматься безопасностью корпоративной Wi-Fi и локальной сети;
— работать с сегментацией, WPA3, гостевым трафиком и контролем подключаемых устройств;
— проводить security review рабочей платформы: проверять конфигурации, открытые порты и эндпоинты, типовые уязвимости;
— выполнять точечные задачи по инфраструктурной безопасности совместно с CSO.
Требования:
— практический опыт в сетевой безопасности;
— понимание принципов защиты сетевой инфраструктуры;
— готовность работать из офиса;
— ответственность и умение доводить задачи до результата.
Будет плюсом:
— опыт web- или инфраструктурных security-аудитов;
— учебные проекты / pet-projects в security;
— опыт в iGaming, платежных компаниях или другой регулируемой сфере.
Отдельно ценится техническая аккуратность при работе с production: важно понимать границы допустимых действий и уточнять, что именно можно тестировать в боевом контуре.
Задачи:
— Разработка и поддержка инфраструктуры проектов в Timeweb Cloud.
— Развитие Infrastructure as Code с использованием OpenTofu / Terraform.
— Разработка и поддержка Ansible-ролей и playbook'ов.
— Настройка и поддержка Docker / Docker Compose окружений.
— Разработка и поддержка GitLab CI/CD пайплайнов для инфраструктуры и приложений.
— Настройка сетевой инфраструктуры: VPC, NAT, firewall, reverse proxy, DNS, SSL/TLS.
— Поддержка stage и production окружений.
— Настройка и развитие мониторинга, логирования и алертинга на базе Prometheus, Grafana и Loki.
— Участие в расследовании инфраструктурных проблем и инцидентов.
— Автоматизация инфраструктурных и эксплуатационных задач.
Требования:
— Уверенное знание Linux.
— Опыт работы с Docker и Docker Compose.
— Опыт работы с Terraform / OpenTofu или другими IaC-инструментами.
— Опыт работы с Ansible.
— Опыт построения и поддержки CI/CD пайплайнов.
— Понимание сетей: TCP/IP, DNS, HTTP/HTTPS, NAT, firewall.
— Опыт работы с nginx, Angie, Traefik или другими reverse proxy.
— Понимание принципов работы PostgreSQL, Redis и других типичных сервисов веб-приложений на инфраструктурном уровне.
— Опыт работы с Git.
Будет плюсом:
— Опыт работы с Timeweb Cloud или другими облачными провайдерами.
— Опыт работы с GitLab CI/CD и self-hosted GitLab.
— Опыт работы с Prometheus, Grafana, Loki, Grafana Alloy.
— Опыт работы с Nexus или другими registry/repository manager'ами.
— Опыт построения инфраструктуры для PHP, Node.js или Go-приложений.
— Опыт работы с RabbitMQ, Centrifugo и другими инфраструктурными компонентами веб-приложений.
— Опыт настройки security-проверок инфраструктурного кода: Checkov, Gitleaks, Trivy и аналоги.
— Опыт работы с Kubernetes.
Компания AI research lab 42 — лаборатория, разрабатывающая автономного AI Scientist — систему, способную самостоятельно формулировать гипотезы, проводить эксперименты и находить решения.
Задачи:
— TradFi Research Lead: построить и возглавить research-направление в traditional markets, разрабатывать MFT-стратегии, строить портфели и risk/execution models, выводить стратегии в production
— AI Researcher — Autonomous Research: перейти от ручного quant research к автономной agent-driven системе, генерировать гипотезы, тестировать и оптимизировать стратегии
— Quantitative Researcher — Crypto MFT: полный цикл разработки medium-frequency crypto strategies, поиск alpha и backtesting, production и мониторинг live performance
Требования к кандидату:
— TradFi Research Lead: 5+ лет в systematic quant research, подтверждённый track record прибыльных MFT-стратегий, опыт с equities / futures / options / FX, опыт лидерства
— AI Researcher — Autonomous Research: MFT/HFT researcher, сильное понимание market microstructure, статистики и Python/ML, способность формализовать research-процесс для автоматизации
— Quantitative Researcher — Crypto MFT: 2+ лет в systematic trading, опыт запуска стратегий в live, глубокое понимание crypto market structure (spot, perps, funding), сильные Python, statistics и ML/DL
Условия:
— B2B контракт
— помощь с релокацией в Амстердам по high skilled migrant visa
— оформление в голландскую компанию с 30%ным налоговым рулингом
Задачи:
— Развивать antifraud-направление: определять стратегию, roadmap и приоритеты;
— Руководить командой scientists/developers и развивать экспертизу;
— Разрабатывать и внедрять antifraud-правила, scoring-модели и автоматизировать ручные процессы;
— Развивать единый antifraud-сервис и выводить решения в production.
Требования:
— Опыт построения fraud prevention в iGaming, fintech, marketplace или payments;
— Опыт работы с разными типами фрода и управления antifraud-направлением;
— Опыт управления разработкой в роли лида + готовность самостоятельно писать и выводить код в production;
— Уверенный SQL и Python; опыт Machine Learning для classification и scoring-задач будет плюсом;
— Опыт взаимодействия с бизнесом и другими стейкхолдерами.
Условия:
— Компенсация на основании ваших ожиданий;
— 24 дня оплачиваемого отпуска;
— Корпоративные занятия английским;
— Для сотрудников офиса на Кипре - компенсация питания, GYM & SPA в офисе и корпоративные мероприятия.
Location: Dublin, Dublin, Ireland, EMEA
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
Fivetran is building data pipelines to power the modern data stack for thousands of companies.
We’re looking for a high-performance, experienced engineer to be a part of a team of Site Reliability Engineers. You will be working closely with engineering teams, product managers, as well as support, sales engineers and solution architects to build the future of the Fivetran Data Platform Reliability.
Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.
Technologies You’ll Use
Cloud Service Providers(CSPs): AWS, Azure and Google Cloud
Kubernetes: Managed Kubernetes services (EKS, AKS and GKE)
Continuous Integration tools: github actions, Buildkite
Continuous Delivery: ArgoCd
Databases: Postgres and all the major Databases
Languages: Go, Java
Scripts: Typescript, Python, Shell
IaC: Terraform and Pulumi
RESTful API: FastAPI
Cloud networking: Privatelinks in Azure and AWS, Private service connect in GCP and site-to-site VPN tunnels in all 3 major cloud service providers - AWS, Azure and Google Cloud
What You’ll Do
As a member of the Site Reliability Engineering team, you will take ownership over the overall performance and reliability of Fivetran’s infrastructure, the robustness of the deployment pipeline, as well as timely and effective incident response and resolution. You will take responsibility for the growth and stability of Fivetran’s infrastructure, and be a key player driving effective incident response and overall issue avoidance.
Responsible for ongoing reliability and robustness of Fivetran’s production infrastructure by monitoring availability, capacity, and throughput.
Evolve systems by adding reliability into our product roadmap
Coordinate the re-prioritise or fix critical bugs for support or sales requirements as needed
Make recommendations to production infrastructure by interfacing with engineering to ensure 100% availability
Ensure scalable artifacts deployment to all environments by automation scripts
Constantly monitor infrastructure vulnerabilities and remedy them by working with the security team
Skills We’re Looking For
Expertise in managed Kubernetes (EKS, AKS, and GKE).
Knowledge of Cloud Platforms and related tooling: AWS, Azure, Google Cloud (GCP), Terraform, Ansible, Buildkite, Pulumi and ArgoCD.
Experience in Python/Shell scripting and Go Language. Bonus if you have Java.
Experience with Linux operating systems internals and administration
Experience with cloud networking like Site-to-Site VPNs, Privatelinks and Private Service connect (GCP)
AI-assisted engineering: Experience using AI tools for code review, automation, incident analysis, documentation, and reducing operational toil.
Bonus Skills
5+ years of experience working with SaaS products at scale
Experience with databases such as PostgreSQL
#LI-IM1
#LI-HYBRID
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.
УдалённоSan Francisco; New York
300 000 – 300 000 $
Canada (Remote)
Зарплата не указана
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