Site Reliability Engineer (SRE)

Monstro
Canton de Ham, France
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Compensation
€ 142K

Job location

Canton de Ham, France

Tech stack

Amazon Web Services (AWS)
Application Services
Azure
Bash
Google BigQuery
Cloud Computing
Continuous Integration
Github
Intrusion Detection Systems
Python
Log Analysis
Reliability Engineering
Runbook
Data Logging
Scripting (Bash/Python/Go/Ruby)
Google Cloud Platform
Cloud Monitoring
Apigee
Kubernetes
Deployment Automation
Api Gateway
Terraform
Dynatrace
Api Management
Go

Job description

Monstro is building a secure, multi-tenant platform on Google Cloud, and we're hiring a Site Reliability Engineer to own the reliability and observability of that platform end-to-end., * Define and maintain SLOs and SLIs for our tier-1 services: API gateway, application services, identity, and edge availability

  • Build canonical dashboards and alerts in Google Cloud Monitoring, backed by structured logs and BigQuery log analytics
  • Tune alert routing so every page is actionable - kill the rest
  • Instrument services for distributed tracing and structured logging; push back on services that ship without it
  • Own error budgets and use them to prioritize reliability work over feature work when burned
  • Reduce toil: automate the top recurring page from the previous quarter
  • Maintain runbooks so every page maps to one within a cycle of first occurrence

On-call rotation and incident response

  • First responder for production alerts across monitoring, API gateway, edge defense, and CI
  • Triage severity, run the incident bridge, drive mitigation (revision rollback, traffic shift, scaling, edge block, credential rotation)
  • Own internal and external incident comms during your shift
  • Drive postmortems to closure with action items tracked as audit evidence
  • Clean written handoffs at end of shift

Our stack

  • Google Cloud Platform across multiple environments
  • Apigee X for API management
  • Cloud Run, GKE Autopilot, Cloud SQL
  • Identity Platform for customer identity
  • Cloud Armor, Cloud IDS, Security Command Center for edge and posture
  • BigQuery-backed log analytics from an org-level log sink
  • OpenTofu / Terraform for everything; GitHub Actions for CI/CD
  • Linear for work tracking

Requirements

Do you have experience in Terraform?, * Solid production experience on GCP (or comparable AWS/Azure depth with willingness to ramp on GCP fast)

  • Comfortable on-call: you've run incidents, written postmortems, and shipped the action items
  • Strong observability fundamentals: SLOs, log-based metrics, alert hygiene, dashboard discipline
  • Working knowledge of Kubernetes, API gateways, identity systems, and at least one IaC tool
  • Scripting / coding fluency (Python, Go, Bash) for automation and tooling
  • Good written communication - handoffs, postmortems, and runbooks are part of the job
  • Bias toward fixing the system, not the symptoms

Nice to Have:

  • Apigee or another enterprise API gateway in production
  • BigQuery for log analytics or audit
  • Experience standing up observability from scratch, not just maintaining inherited dashboards
  • SOC2 or similar compliance environments, If you're excited to contribute to a high-bar team building something meaningful, we love to hear from you!

Benefits & conditions

  • Ownership & Impact: Shape the future of AI-powered finance-building a category-defining product used by consumers and institutions around the world.
  • Experienced Team: Join a team with leadership that has a track record of scaling companies from early stage to major exits.
  • Principles-Driven Culture: Work in a culture that values speed, ownership, and impact-what most companies achieve in 90 days, we do in 45.
  • Comprehensive Compensation Package: Competitive salary, equity, and robust benefits package, including paid health, vision, dental, and disability coverage.
  • Compensation Range (New York City):
  • Compensation Range (Denver Metro):
  • The posted range reflects the base salary for this role across the market ranges for each location. Final compensation will depend on a variety of factors, including experience, skills, internal leveling, and market conditions, and will be offered within the stated range in accordance with applicable pay transparency laws.

Base Compensation Range (New York City): $142,000 - $214,700

A Note on Interviewing: We sometimes use AI note-takers to help us transcribe interview notes, so we can be more present in your interview. If you'd like to opt out of us using automatic transcribers, please note this in the free text field in your application, otherwise we'll take your application as confirmation that you're happy for us to use notetakers (whether added to video calls or in the background). Please note: This role will have a start date of end of July

About the company

Monstro is the operating system for governed financial intelligence. We build governance and intelligence infrastructure that enables artificial intelligence to operate safely, explainably, and at institutional scale. We exist because the level of financial guidance historically available to a small group should be accessible to many more people. By combining AI with deep institutional infrastructure, we help financial institutions deliver more personalized, responsible, and life-changing financial support to millions of individuals. We're building mission-critical systems in a highly regulated domain, and we care deeply about doing it right. If you're motivated by meaningful problems, high standards, and shaping infrastructure that improves financial outcomes, you'll feel at home here.

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