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# Staff Backend Engineer – Grafana Alerting | Ireland | Remote

Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move.

[Apply for this job](#job-application)[View company](https://jobicy.com/company/grafana-labs.md)ShareRemote from[Ireland](https://jobicy.com/job-region/ireland.md)SalaryEUR 117,600–141,120 / yrDepartment[Software Engineering](https://jobicy.com/categories/engineering.md)EmploymentFull TimeExperienceSeniorPublished30 Oct 2026Apply before29 Nov 2026Listing views36Application actions2Application toolkit

## Make your next move.

Prepare your resume, explore your fit, and draft a cover letter for this opportunity.

AI Summary

## The role, at a glance.

Grafana Labs is hiring a Staff Backend Engineer to develop and operate the distributed systems behind Grafana Alerting and its connected SLO product. The role covers end-to-end delivery, from ideation and architecture through production operations, reliability, performance, and on-call ownership. The engineer will work with cloud-scale alert ingestion, delivery, and evaluation systems, including Prometheus-based workloads. Strong software engineering fundamentals, experience with cloud or systems engineering, and the ability to collaborate effectively in a remote team are central to success. Although Go is used internally, experience with comparable languages such as Python, Java, C++, or Rust is relevant.

## Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

### Job Complexity

5/5EasyHard

### Pace & Pressure

4/5RelaxedFast-paced

### Autonomy Level

5/5GuidedFull ownership

### Communication Load

4/5IndependentCollaborative

AI insightThis is a staff-level role responsible for critical, high-scale distributed alerting systems used in production and supported through on-call rotations. It requires technical leadership, sound architectural judgment, operational ownership, and independent execution across a large codebase.

## Salary analysis

Estimated compensation compared with the broader EU market for similar roles.

Estimated job median (per year)Market rate€129,360EU market range (per year)€110k–€150k0€165k

AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. Работодатель указывает годовой диапазон компенсации в Ирландии: EUR 117,600–141,120, с медианой EUR 129,360. Оценочный рыночный диапазон для staff-level backend/distributed-systems инженера в Ирландии составляет EUR 110,000–150,000 в год; фактическая сумма зависит от опыта, уровня и результатов интервью.

## Core skills

Skills and capabilities most closely associated with this opportunity.

[Go](https://jobicy.com/jobs?search_keywords=Go.md)[Distributed systems](https://jobicy.com/jobs?search_keywords=Distributed%20systems.md)[Backend engineering](https://jobicy.com/jobs?search_keywords=Backend%20engineering.md)[Cloud computing](https://jobicy.com/jobs?search_keywords=Cloud%20computing.md)[Prometheus](https://jobicy.com/jobs?search_keywords=Prometheus.md)[Alerting systems](https://jobicy.com/jobs?search_keywords=Alerting%20systems.md)[System design](https://jobicy.com/jobs?search_keywords=System%20design.md)[Performance optimization](https://jobicy.com/jobs?search_keywords=Performance%20optimization.md)[Reliability engineering](https://jobicy.com/jobs?search_keywords=Reliability%20engineering.md)[On-call operations](https://jobicy.com/jobs?search_keywords=On-call%20operations.md)[Open-source development](https://jobicy.com/jobs?search_keywords=Open-source%20development.md)[Software architecture](https://jobicy.com/jobs?search_keywords=Software%20architecture.md)[Technical mentorship](https://jobicy.com/jobs?search_keywords=Technical%20mentorship.md)[Remote collaboration](https://jobicy.com/jobs?search_keywords=Remote%20collaboration.md)

Sample interview questionsHow would you design a distributed alert evaluation system that can scale while maintaining reliable and timely notifications?I would begin by defining SLOs for evaluation latency, delivery latency, availability, and correctness. I would partition work by tenant or rule group, use durable queues and idempotent processing, and separate scheduling, evaluation, and notification delivery so each layer can scale independently. I would also build in backpressure, retries with dead-letter handling, observability, and failure-mode testing.

Describe a time you took ownership of a production service from design through ongoing operations.

I would explain the service’s customer and reliability requirements, the key architectural choices, and how I partnered with stakeholders during delivery. I would cover deployment practices, monitoring, runbooks, incident response, and the improvements made after operating the service in production. The emphasis would be on measurable outcomes and lessons incorporated into the system.

How do you make architectural decisions when requirements are incomplete or a problem domain is complex?

I first clarify the user problem, constraints, and success metrics, then identify the highest-risk assumptions. I propose a small number of options with explicit trade-offs and seek early feedback from engineers and product partners. When uncertainty remains, I favor a modular MVP that creates a short feedback loop without preventing future scaling.

What practices do you use to keep backend systems reliable during on-call ownership?

I ensure services expose actionable metrics, structured logs, traces, and health indicators tied to user-facing SLOs. I prioritize safe deployment mechanisms, capacity planning, clear alert routing, runbooks, and blameless incident reviews. I also use recurring operational findings to reduce toil and eliminate common failure modes rather than only reacting to incidents.

How would you support and mentor engineers in a fully remote staff-level role?

I would provide timely, specific feedback through design reviews and code reviews, while making reasoning and trade-offs visible rather than simply prescribing solutions. I would create regular opportunities for pairing, technical discussions, and knowledge sharing across time zones. I would also delegate meaningful ownership, remain available during difficult decisions, and help teammates connect their work to customer and product outcomes.

Opportunity details

## About this role.

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](http://grafana.com) and follow us on [LinkedIn](https://www.linkedin.com/company/grafana-labs/) and [X](https://twitter.com/grafana).

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 applications from Ireland.

The Opportunity:

The Grafana Alerting squad operates at the core of the Grafana open-source project [(link)](https://github.com/grafana/grafana), and our mission is to provide the most in-depth way to let users manage their alerts. The backend-focused team works closely with customers and the Grafana Cloud teams to make Alerting work on-prem and at infinite scale in Cloud. The team’s scope spans both Grafana Alerting and the SLOs product, so engineers get to work across two products that are deeply connected in how they help users detect and respond to problems.

Grafana Alerting is trusted by major organizations worldwide, monitoring essential medical devices and critical infrastructure. We thrive on collective creativity and diverse perspectives, every team member is encouraged to contribute ideas that shape our product into a dependable tool.

Our domain is quite large, so to get an idea of the kind of work we do, here are some projects we recently worked on:

* Build distributed systems to scale alert ingestion and delivery of Prometheus-based alerts
* Unify Alerting setup and delivery to work the same for Grafana and Prometheus-based alerts
* Build distributed systems to scale alert evaluation of Grafana-managed alerts, reaching over 500 evaluations per second in production.

Grafana Alerting is trusted by major organizations worldwide, monitoring essential medical devices and critical infrastructure. We thrive on collective creativity and diverse perspectives, every team member is encouraged to contribute ideas that shape our product into a dependable tool.

What You’ll Be Doing:

* Take an active role in influencing our roadmap and your own career objectives
* Work with your team to deliver new features, then use the results to iterate and improve.
* Drive projects from initial ideation all the way to operations once it is in the hands of customers
* Embrace our open-source culture and contribute to other projects that may not directly fall within your team’s scope
* Design, build, operate, and maintain critical systems, owning the reliability, performance, and availability
* Be a part of your team’s on-call rotations and take ownership of the services you’re running
* Mentor and support other team members, participate in design discussions and collaborate with the team
* Learn new skills by gaining a deeper understanding of our cloud product and our customers and getting to know the codebase of a large distributed system

As we are remote-first and our engineering organization is largely remote, we provide guidance and meet regularly using video calls, so an independent attitude and good communication skills are a must.

What Makes You a Great Fit:

* You are a motivated self starter with a bias towards action
* You are customer focused
* We build everything with our users in mind.
* You have a passion for creating intuitive products that fit customers’ needs
* Pragmatism: You are able to take on complex challenges and break them down to achieve short feedback loops: to analyze, design, and build modular solutions, deliver MVPs, gather data and feedback and then progress iteratively
* Collaboration and communication: The smallest unit we have is a team. You’ll be working with your teammates in a fully remote setup. Good communication skills are a must
* Solid experience with at least one programming language. We use Go, but if you have familiarity with Python, Java, C++, Rust or similar then that translates well
* Some experience with delivering projects from gathering requirements, brainstorming ideas all the way to shipping a product to the customer’s hands in a self-driven way
* Some experience with developing software that runs in the Cloud or some experience with systems engineering
* Experience writing clean, robust, and performant software that is easily maintained by others

Compensation & Rewards:

In Ireland, the compensation range for this role is EUR 117,600 – EUR 141,120. 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](https://grafana.com/legal/applicant-and-candidate-privacy-policy/).

Show more

[Apply now >](https://jobicy.com/jobs/157931-staff-backend-engineer-grafana-alerting-ireland-remote.md)

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