Senior Software Engineer – Session Replay

🕒 il y a 1 mois

🇺🇸 États-Unis – Télétravail

💵 $154 445 - $185 334 / an

⏰ Temps Plein

🟠 Senior

🧑‍💻 Développeur Full-Stack

🗣️🇺🇸🇬🇧 Anglais requis

D'où vient cette offre

Publiée sur la page carrières de Grafana Labs, pas via un site d'emploi

Repérée par Remote Rocketship il y a 1 mois

Toujours ouverte sur le site de Grafana Labs. Vérifiée il y a 3 heures.

Logo of Grafana Labs

Grafana Labs

501 - 1000 employés

Fondée en 2014

🏢 Entreprise

☁️ SaaS

🤖 Intelligence artificielle

Enterprise • SaaS • Artificial Intelligence

Grafana Labs est une entreprise spécialisée dans les technologies et solutions d'observabilité open-source. Elle propose une suite complète d'outils pour la gestion des logs, des métriques, du traçage et des profils avec des produits tels que Grafana, Loki, Tempo et Mimir. Leurs offres sont conçues pour aider les entreprises à visualiser, surveiller et envoyer des alertes sur les données provenant de diverses sources, fournissant des fonctionnalités telles que la détection des anomalies, l'analyse des causes profondes et la gestion des objectifs de niveau de service à l'aide des insights IA/ML. Grafana Labs propose des solutions à la fois basées sur le cloud et auto-gérées, idéales pour l'observabilité de l'infrastructure, des applications et du frontend. De plus, leur plateforme prend en charge l'intégration avec diverses sources de données comme Prometheus et OpenTelemetry, faisant d'eux un acteur clé dans le domaine de l'observabilité et de la surveillance de l'infrastructure.

Description

• Own end-to-end technical direction for Session Replay across frontend, backend, and data systems • Drive backend architecture evolution toward columnar/analytical storage for large-scale session data • Define data models, ingestion pipelines, and query patterns • Lead investigation workflows connecting replay with logs, metrics, traces, and other Grafana Cloud telemetry • Make architectural decisions affecting multiple teams and products • Partner with Frontend Observability, Synthetic Monitoring, and Core Grafana teams • Engage directly with customers through calls, structured feedback, and Session Replay adoption support • Improve engineering standards, patterns, and operational practices • Mentor engineers and grow technical leadership within the team • Help shape the Session Replay product and its integration into Grafana Cloud

🎯 Exigences

• Candidates must be located in the USA EST time zones only • Senior-level software engineering experience • Ability to reason about data-intensive systems, including ingestion, storage, querying, and cost trade-offs • Ability to own features in ambiguous problem spaces and work independently • User-centered software development approach • Ability to build complex, maintainable, readable, and automated solutions • Ability to communicate design decisions clearly in written and spoken English • Experience using AI tools as part of an engineering workflow • Comfort working in a remote-first company • Experience with Go, TypeScript, and React • Experience with columnar/analytical data storage and querying • Experience with object storage such as S3, GCS, or Azure Blob Storage • Experience with MySQL • Familiarity with the Grafana ecosystem, including Mimir, Loki, and Tempo • Bonus: experience with columnar/analytical databases • Bonus: experience with observability tools such as Grafana, Datadog, New Relic, or Sentry • Bonus: experience building debugging or developer-focused tools • Bonus: familiarity with privacy, security, and access control in data-heavy systems • Bonus: experience with performance-sensitive systems and large datasets

🏖️ Avantages

• Restricted Stock Units (RSUs) • Company-funded usage budget for modern AI coding assistants • Access to frontier models from OpenAI, Anthropic, and Google • 100% remote, remote-only work environment • Career growth pathways • In-person onboarding • 30 days of annual leave per annum, including 3 Grafana Shutdown Days • Transparent communication and regular company-wide updates • Autonomy and support to ship great work • Empowered, high-trust teams • Approachable leadership • Global annual leave policy, subject to local legislation

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