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Only W Sre Production Reliability Engineer

  • Only W Sre Production Reliability Engineer job type Posted on: Oct 14, 2026
  • Only W Sre Production Reliability Engineer experience level Tror AI for everyone
  • Only W Sre Production Reliability Engineer employment type Woonsocket, Rhode Island
  • Only W Sre Production Reliability Engineer employment type Onsite
  • Only W Sre Production Reliability Engineer salary Full-time

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Job Title :

Only W Sre Production Reliability Engineer

Job Type :

Full-Time

Job Location :

Woonsocket Rhode Island United States

Remote :

No

Jobcon Logo Job Description :

Senior SRE / Production Reliability Engineer
Experience: 10+ Years
Location: Woonsocket, RI - Onsite

Job Summary
We are looking for a Senior SRE / Production Reliability Engineer with strong production support, monitoring, automation, and incident management experience.
The ideal candidate must have hands-on experience with Tidal, Apache Airflow/DAGs, Prometheus, PromQL, Python, and Shell scripting, along with Kubernetes and GCP.

Key Responsibilities
  • Manage and troubleshoot Tidal jobs and Apache Airflow DAGs in production.
  • Monitor production systems using Prometheus, PromQL, and Grafana.
  • Troubleshoot failed jobs, application issues, and production incidents.
  • Develop automation using Python and Shell/Bash scripting.
  • Act as Incident Commander for P1/P2 incidents and lead RCA/postmortems.
  • Define and monitor SLIs, SLOs, and error budgets.
  • Work with Kubernetes and GCP environments.
  • Support time-series anomaly detection for production monitoring.
  • Improve system reliability, monitoring, alerting, and operational automation.
Must-Have Skills
  • 10+ years SRE / Production Engineering / DevOps
  • Tidal Scheduler
  • Apache Airflow & DAGs
  • Prometheus & PromQL
  • Python
  • Shell/Bash scripting
  • P1/P2 Incident Commander experience
  • Time-series anomaly detection in production
  • Kubernetes
  • GCP
  • Grafana / Observability
  • OpenTelemetry
  • Splunk / Loki / Elasticsearch
  • Java
  • Terraform / Ansible
  • Kafka
  • BigQuery / PostgreSQL
Critical: Candidates must have real production experience with Tidal + Airflow/DAGs + Prometheus/PromQL + Python, along with P1/P2 incident management and time-series anomaly detection.

Jobcon Logo Position Details

Posted:

Oct 14, 2026

Reference Number:

673-38728

Employment:

Full-time

City:

Woonsocket

Job Origin:

CIEPAL_ORGANIC_FEED

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Senior SRE / Production Reliability Engineer
Experience: 10+ Years
Location: Woonsocket, RI - Onsite

Job Summary
We are looking for a Senior SRE / Production Reliability Engineer with strong production support, monitoring, automation, and incident management experience.
The ideal candidate must have hands-on experience with Tidal, Apache Airflow/DAGs, Prometheus, PromQL, Python, and Shell scripting, along with Kubernetes and GCP.

Key Responsibilities
  • Manage and troubleshoot Tidal jobs and Apache Airflow DAGs in production.
  • Monitor production systems using Prometheus, PromQL, and Grafana.
  • Troubleshoot failed jobs, application issues, and production incidents.
  • Develop automation using Python and Shell/Bash scripting.
  • Act as Incident Commander for P1/P2 incidents and lead RCA/postmortems.
  • Define and monitor SLIs, SLOs, and error budgets.
  • Work with Kubernetes and GCP environments.
  • Support time-series anomaly detection for production monitoring.
  • Improve system reliability, monitoring, alerting, and operational automation.
Must-Have Skills
  • 10+ years SRE / Production Engineering / DevOps
  • Tidal Scheduler
  • Apache Airflow & DAGs
  • Prometheus & PromQL
  • Python
  • Shell/Bash scripting
  • P1/P2 Incident Commander experience
  • Time-series anomaly detection in production
  • Kubernetes
  • GCP
  • Grafana / Observability
  • OpenTelemetry
  • Splunk / Loki / Elasticsearch
  • Java
  • Terraform / Ansible
  • Kafka
  • BigQuery / PostgreSQL
Critical: Candidates must have real production experience with Tidal + Airflow/DAGs + Prometheus/PromQL + Python, along with P1/P2 incident management and time-series anomaly detection.

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