Senior Site Reliability Engineer

New
T
TapcheckFintech payments
Those residing beyond this radius may be considered for a fully remote arrangement, depending on experience and business needs.Full-TimeSenior
Salary not disclosed
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Job Details

Experience
6+ years in SRE, platform, or infrastructure engineering
Required Skills
PythonMicrosoft AzureC#GoTerraform

Requirements

  • 6+ years in SRE, platform, or infrastructure engineering, operating production systems where downtime had customer or financial impact.
  • In-depth experience operating production workloads on Azure, including PaaS compute, managed databases, messaging, private networking, and Entra ID.
  • Production-quality coding experience in Go, Python, C#, or PowerShell, including building tooling adopted by other engineers.
  • Experience managing infrastructure as code at team scale with Terraform or OpenTofu, including modules, state, and pipeline-driven changes.
  • Experience defining SLOs or equivalent reliability targets and building supporting monitoring and alerting.
  • Experience leading incidents as commander or senior responder and running blameless postmortems that produce lasting fixes.
  • Ability to explain technical risk and trade-offs clearly in writing to engineers and non-technical leaders.
  • Preferred: experience in fintech, payments, or payroll.
  • Preferred: experience supporting SOC 2 or PCI DSS audits with systems that produce audit evidence.
  • Preferred: experience designing multi-region resilience or running disaster recovery exercises.
  • Preferred: experience building or contributing to an internal developer platform or self-service deployment tooling.

Responsibilities

  • Define tiered reliability standards for services and run production readiness reviews.
  • Lead regional resilience work to keep critical payment flows running through a cloud region outage.
  • Build security and compliance into the platform to support SOC 2 and PCI DSS evidence.
  • Create alerting for production incidents and partner with product engineering to define SLOs and error budgets.
  • Grow the internal deployment platform into a self-service, governed path to production.
  • Implement progressive rollouts, automated rollback, release controls, and self-service access and provisioning workflows.
  • Bring the cloud environment under infrastructure as code and use policy as code for tagging, security baselines, and cost visibility.
  • Share the on-call rotation, act as incident commander and senior escalation point, and run blameless postmortems.
  • Measure and automate toil, using AI tools where they accelerate detection, diagnosis, or remediation with appropriate guardrails.
  • Write cloud architecture design documents, mentor engineers, and guide partner and contract engineers.
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