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Senior Site Reliability Engineer
You.com
San Francisco, UAE
Full Time
Senior
Hybrid
1 months ago
Site Reliability EngineeringAWSEKSTerraformPythonBash
Free
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Site Reliability EngineeringAWSEKS
About the Role
You.com is seeking a Senior Site Reliability Engineer to own reliability, observability, and incident response for production services powering AI search infrastructure. You will instrument services with OpenTelemetry, develop SRE standards, build automation in Python/Bash/Terraform, and define SLOs.
Key Skills for This Role
Site Reliability EngineeringAWSEKSTerraformPythonBash
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
- 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, 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
- 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
Requirements
- 2+ years of full time experience in an SRE or similar role
- 3+ years of experience working in AWS with EKS and GitHub Actions & CI/CD
- Strong hands on experience with Git, Python, and Bash
- Experience establishing SRE practices across multiple teams (SLO definitions, alert hygiene, postmortem culture)
- Built or maintained Prometheus based monitoring with dashboards 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
Full Job Posting
About Us
- At You.com, we are building the AI Search Infrastructure that powers modern AI systems.
- Our goal is to create the trusted knowledge layer that agents, applications, and enterprises rely on to retrieve real time, accurate, and citation backed information.
- Our platform combines proprietary vertical indexes with LLM optimized retrieval systems to power AI agents, applications, and enterprise workflows.
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.
- 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.
- 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.
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.
Salary Band
- $195,000—$240,000 USD
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