Software Engineer (Synthetic Monitoring)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Software Engineer (Go/React): Building and operating a multi-tenant distributed synthetic monitoring system with an accent on end-to-end feature ownership and system scalability. Focus on designing telemetry pipelines, integrating AI-assisted workflows, and ensuring high reliability at enterprise scale.
Location: Remote. Must be based in Spain, Sweden, UK, Ireland, or Germany
Salary: GBP 72,000 - 90,000
Company
is the company behind the open observability cloud, built on the principles of open source, open standards, and a global collaborative culture.
What you will do
- Own features end-to-end across the stack, from API and data model design in Go to user-facing workflows in TypeScript/React.
- Design and evolve architectural components for scheduling, probe lifecycle, and telemetry ingestion to ensure product scalability.
- Build cross-product and AI-assisted workflows that connect Synthetic Monitoring to the broader Grafana Cloud platform.
- Implement governance and organization primitives to enable enterprise-scale management of Synthetic Monitoring as code.
- Ensure system quality and reliability through rigorous testing, observability, and detailed documentation.
- Participate in the team's on-call rotation and take full ownership of the production services you operate.
Requirements
- Strong proficiency in Go, or deep experience in other systems languages like Rust, Java, or C++.
- Operational mindset with experience owning production services and managing on-call responsibilities.
- Systems thinking capability to reason about data flow, failure modes, and operational behavior across components.
- Pragmatic approach to development, focusing on breaking complex problems into incremental deliverables and MVPs.
- Experience with user-centered software development processes.
- Must be located in Spain, Sweden, UK, Ireland, or Germany.
Nice to have
- Experience designing or operating multi-tenant SaaS systems at scale.
- Knowledge of observability tools such as Grafana, Datadog, New Relic, or Sentry.
- Experience with Kubernetes in a production environment.
- Familiarity with k6, Playwright, or browser automation at scale.
- History of contributing to or maintaining open source projects.
Culture & Benefits
- 100% remote-first global culture emphasizing transparency, autonomy, and trust.
- Company-funded usage budget for modern AI coding assistants (OpenAI, Anthropic, Google).
- Global annual leave policy of 30 days per year, including dedicated company shutdown days.
- Defined career growth pathways and accessible, transparent leadership.
- In-person onboarding experience for new team members.
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