Senior Site Reliability Engineer

you.com

$195K — $240K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 2+ years of full-time experience in an SRE or similar role
  • 3+ years of experience with AWS, EKS, Github (GHA), and CI/CD
  • Strong skills in Git, Python, and Bash for automation and tooling
  • Experience in implementing SRE practices across teams
  • Familiarity with Prometheus-based monitoring and Grafana dashboards
  • Proven track record managing incidents and service outages
  • Hands-on experience integrating AI into reliability efforts

Responsibilities

  • Instrument services using OpenTelemetry for complete measurability
  • Develop SRE standards and promote their adoption across engineering teams
  • Build automation tools in Python, Bash, and Terraform for improved efficiency
  • Design impactful dashboards that highlight real user impact
  • Continuously adjust alerting rules to enhance signal-to-noise ratio
  • Oversee the complete reliability incident response process
  • Conduct blameless postmortems focusing on systemic issues and tracking resolutions

Benefits

  • Flexible PTO plus US holidays and a December shutdown
  • 100% health insurance for policyholder and 75% for dependents
  • 12 weeks of paid parental leave
  • 401k with immediate vesting and 3% match
  • $500 work-from-home stipend
  • $600 technology stipend for cell phone and internet
  • $1,200 annual wellness allowance
  • Collaborative environment at the forefront of AI research
Full Job Description
About the Role

As a Site Reliability Engineer, you will own parts of the reliability, observability, and incident response posture for You.com's production services. Your work will ensure that every user query, every API call, and every data pipeline runs with measurable, defensible uptime, and when something breaks, the tools and dashboards you developed will help the team identify the issue, respond, and learn from it. Additionally, you will partner with teams to help them implement best practices, establish reliability objectives, and ensure the engineering team can build reliable services with minimal friction.
Responsibilities
  • Instrument services end-to-end using OpenTelemetry metrics and structured logging to ensure every critical path is measurable.
  • Develop and maintain SRE standards and patterns (instrumentation guidelines, incident playbooks, service templates) that engineering teams adopt by default in new and existing services.Build internal tooling and automation in Python, Bash and Terraform to improve deployment safety, reliability, and operational efficiency.
  • Design and maintain actionable dashboards that surface real user impact, not vanity metrics, for service owners and leadership.
  • Tune alerting rules continuously to maximize signal-to-noise ratio; tie alerts to SLO-based error-budget burn rates rather than arbitrary thresholds.
  • Own reliability incident response end-to-end: detection, triage, communication, escalation, resolution, and stakeholder updates.
  • Track and run blameless postmortems that focus on systemic contributing factors, not individual fault, producing actionable remediation items with owners and deadlines.
  • Track remediation follow-through as a first-class metric. Ensure postmortem action items are completed, not just documented.
  • Continuously improve MTTD and MTTR by feeding incident learnings back into monitoring, runbooks, and automation.
  • Collaborate with Customer Success and ensure we by feed incident learnings back into monitoring, runbooks, and automation.
  • Define meaningful SLOs for all production services grounded in critical user journeys, historical performance data, and business requirements.
  • Eliminate alert fatigue by auditing, categorizing, and deprecating noisy or non-actionable alerts on a regular cadence.
  • Help manage incident management processes and playbooks.
Qualifications
  • 2+ years of full-time experience in an SRE or similar role
  • 3+ years of experience working in AWS with EKS and Github (GHA) & CI/CD
  • Strong hands-on experience with Git, Python, and Bash. Comfortable building production-grade automation and tooling.
  • Experience establishing SRE practices across multiple teams (SLO definitions, alert hygiene, postmortem culture).
  • Built or maintained Prometheus-based monitoring with dashboards they have in Grafana.
  • Demonstrated experience scoping and delivering infrastructure projects from proposal through production deployment
  • Demonstrated experience managing incidents and response to service outage
  • Hands-on experience integrating AI with SRE efforts to improve reliability, development and velocity
  • Demonstrated track record of collaborating with teams to define SLOs, instrument services against measurable SLIs, and operationalize error-budget burn-rate alerting that teams use independently to balance risk and delivery speed.


Our salary bands are structured based on a combination of geographic tiers and internal leveling. Compensation is determined by multiple factors assessed during the interview process, with the final offer reflecting these considerations.

Salary Band

$195,000-$240,000 USD

Company Perks:
  • Hubs in San Francisco and New York City offering regular in-person gatherings and co-working sessions
  • Flexible PTO with U.S. holidays observed and a week shutdown in December to rest and recharge*
  • A competitive health insurance plan covers 100% of the policyholder and 75% for dependents*
  • 12 weeks of paid parental leave in the US*
  • 401k program, 3% match - vested immediately!*
  • $500 work-from-home stipend to be used up to a year of your start date*
  • $600 technology stipend to support a portion of our hybrid/remote team's cell phone and internet expenses*
  • $1,200 per year Health & Wellness Allowance to support your personal goals*
  • The chance to collaborate with a team at the forefront of AI research

*Certain perks and benefits are limited to full-time employees only

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