What are the responsibilities and job description for the Only W2: SRE / Production Reliability Engineer, Woonsocket, RI position at Tror?
Role: Senior SRE / Production Reliability Engineer
Experience: 8 Years
Location: Woonsocket, RI
Experience: 8 Years
Location: Woonsocket, RI
Job Summary
We are looking for a Senior SRE / Production Reliability Engineer to improve the reliability, performance, and availability of critical production systems.
The ideal candidate should have strong experience in SRE/DevOps, Incident Management, Observability, Kubernetes, Google Cloud Platform, and production monitoring, along with hands-on experience with time-series anomaly detection.
What You’ll Do
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Own reliability and performance of critical production applications.
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Act as an Incident Commander (IC) during P1/P2 production incidents.
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Lead incident response, root-cause analysis, postmortems, and reliability improvements.
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Define and manage SLIs, SLOs, and error budgets.
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Build and improve monitoring, alerting, and observability solutions.
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Tune and validate time-series anomaly detection models for production monitoring.
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Develop automation and operational tools using Python, Java, and React.
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Troubleshoot Kubernetes, cloud, batch processing, and data pipeline issues.
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Work with engineering and operations teams to improve system reliability and reduce manual work.
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Support large-scale deployments and manage production risks such as configuration drift and blast radius.
Must-Have Skills
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8 years of experience in SRE, DevOps, Platform Engineering, or Production Engineering.
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Hands-on experience as an Incident Commander for P1/P2 incidents.
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Strong experience with time-series anomaly detection models in production observability — mandatory.
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Strong production-level programming skills in:
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Python
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Java
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React
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Strong experience with SLI, SLO, and error budgets.
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Hands-on observability experience with:
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Prometheus
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Grafana
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OpenTelemetry
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At least 2 log platforms such as Loki, Splunk, or Elasticsearch
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Strong Google Cloud Platform experience.
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Strong Kubernetes operational experience.
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Experience with Rancher K3s.
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Experience troubleshooting Apache Airflow and Tidal workflows/batch jobs.
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Experience with production-scale distributed systems and on-call support.
Preferred Skills
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Production Readiness Reviews / service launch experience.
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BigQuery and PostgreSQL.
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Chaos Engineering / fault injection.
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TIC/Technical Incident Commander certification.
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Healthcare, pharmacy, retail, or other high-availability environments.
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LLM/GenAI for incident management, alert summarization, or runbook recommendations.
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Kafka.
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Istio / Envoy.
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Terraform / Ansible.
Important: The Incident Commander experience and production time-series anomaly detection should be treated as hard requirements. A candidate who only has general monitoring/observability experience but has never worked with anomaly detection models would not be a strong fit.