Site Reliability Engineer

Site Reliability Engineer

Our client, an IT Services and Consulting company, is looking for a Site Reliability Engineer for their Woonsocket, RI/ Hybrid location. Responsibilities include:

• Owning and driving the end-to-end reliability, availability, and performance of critical retail and pharmacy technology platforms across hybrid cloud and on-premises environments.
• Establishing and maintaining SLI/SLO health, alerting strategies, observability standards, and business-aligned monitoring for the assigned application domain.
• Leading production incident response as Incident Commander, driving root cause analysis, postmortems, and continuous reliability improvements.
• Partnering with engineering, product, and operations teams to embed reliability, resiliency, scalability, and operational readiness into system design and delivery.
• Building and optimizing automation, self-service capabilities, and operational tooling to eliminate toil, improve efficiency, and reduce manual intervention.
• Designing and executing proactive reliability initiatives, including production readiness reviews, dependency risk assessments, fault injection, and chaos engineering exercises.
• Mentoring engineers, championing SRE best practices, and enabling teams to independently detect, respond to, and learn from production issues with minimal SRE involvement. Influencing organizational adoption of SLO-driven engineering, observability, incident management, and reliability practices through collaboration, credibility, and measurable outcomes.

Requirements include:

• 8+ years of senior software engineering experience in SRE, DevOps, platform engineering, or related production-systems roles in distributed systems at production scale with active on-call responsibility.
• Demonstrated experience as an on-call Incident Commander (IC) for P1 or P2 incidents — structured leadership updates, not just participant involvement.
• Experience tuning and validating time-series anomaly detection models in a production observability context — this is a required qualification, not a preferred one; anomaly-based detection is a core function of this role.
• Strong programming proficiency in Python, React, and Java at production quality — capable of writing operational tooling that other engineers will rely on.
• Hands-on experience designing SLIs, SLOs, and managing error budgets for customer-facing or business-critical services.
• Deep observability platform experience: Prometheus, Grafana, Open Telemetry, and at least two of the log aggregation solutions (Loki, Splunk, Elasticsearch).
• Fleet-scale deployment awareness: familiarity with progressive rollout strategies, blast radius management, and configuration drift as a reliability risk in large unattended node deployments.
• Strong cloud platform expertise in Google Cloud Platform (GCP) and Rancher K3s.
• Advanced Kubernetes operational experience: debugging, resource management, networking policies, and workload failure modes. Experience with AI-assisted tooling and development.
• Experience diagnosing and resolving workflow orchestration issues, batch processing failures, scheduler performance problems, and building observability on data pipelines: Apache Airflow and Tidal.
• Experience owning Production Readiness Reviews or service launch gates.
• Strong proficiency in transforming large-scale operational and telemetry data into actionable business insights using SQL-based analytics and reporting frameworks: Google BigQuery, PostgreSQL.
• Hands-on chaos or fault injection experience.
• TIC (Technical Incident Commander) certification or equivalent structured incident command training.
• Experience operating distributed systems in retail, pharmacy, healthcare, or other operationally sensitive environments where failures have direct patient or customer impact.
• LLM integration for operational use cases (alert summarization, runbook suggestion, incident triage assistance) — design or implementation experience.
• Experience with streaming data platforms: Kafka.
• Experience with service mesh and traffic management: Istio, Envoy.
• Infrastructure-as-code proficiency at production scale: Terraform or Ansible.
• Years of Experience: 14.00 Years of Experience

Why Should You Apply?

• Health Benefits
• Referral Program
• Excellent growth and advancement opportunities