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Senior Site Reliability Engineer

External
Fivetran logoFivetran · Oakland
$175K–$210K/yrFull-timeOn-site1d ago
AnsibleArgoCDAWSAzureGCPGrafana
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About the role

Fivetran is building data pipelines to power the modern data stack for thousands of companies. Fivetran is 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 and sales engineers to build the future of the Fivetran Data Platform Reliability. As a member of the Site Reliability Engineering team, you will take ownership of 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. This is a full-time, hybrid position based out of our Oakland, CA Office. 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 Kubernetes, PostgresSQL, ArgoCD, Terraform, Ansible, Python, Go, Java, AWS, GCp, Azure, Grafana, Buildkite, Temporal etc.

Responsibilities

  • 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-prioritize 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
  • 5+ years of experience working with SaaS products at scale
  • Working knowledge of managed Kubernetes (EKS, AKS and GKE)
  • Knowledge of Cloud Platforms and related tooling: AWS, Azure, GCP, Terraform, Ansible, Buildkite, Pulumi and ArgoCD
  • Experience in Python/Shell scripting. Bonus if you have Java, GO, etc
  • Experience with Linux operating systems internals and administration
  • Experience with cloud networking like VPNs, Privatelinks, and Private Service connect (GCP)
  • Experience with databases such as PostgreSQL
  • Optional Bonus Skills
  • Java, GoLang Programming skills
  • #LI-HYBRID #LI-EM1
  • Oakland Pay Range
  • $174,915 - $209,906.50 USD

Benefits

100% employer-paid medical insurance *Generous paid time-off policy (PTO), plus paid sick time, inclusive parental leave policy, holidays, and volunteer days offRSU stock grants*Professional development and training opportunitiesCompany virtual happy hours, free food, and fun team-building activitiesMonthly cell phone stipendAccess 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 informationClick 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 .Health insurancePaid time offRemote work optionsEquity / stock optionsPerformance bonusParental leave

Additional Information

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.


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