SRE Lead: Production Reliability & Observability Architect

TechDigital Group; Woonsocket (RI); On-site; USD 140,000 - 190,000; Full time

Job summary

TechDigital Group is seeking a Senior Software Engineer specializing in SRE/DevOps to lead on-call incident response, build robust observability, and shape reliability across distributed production systems.

The role requires hands-on work with Python, React, Java, and a strong focus on SLIs/SLOs, with GCP and Kubernetes at scale. Expect collaboration across engineering teams and a focus on production readiness.

Qualifications

• 8+ years of Senior Software engineering in SRE/DevOps or production systems.
• On-call Incident Commander for P1/P2 incidents with structured updates.
• Experience tuning time-series anomaly detection in production observability.
• Proficient in Python, React, and Java for production tooling.
• Designing SLIs/SLOs and managing error budgets for critical services.
• Strong observability stack: Prometheus, Grafana, OpenTelemetry and 2+ log solutions.
• Fleet-scale deployment awareness and drift management for large clusters.
• Cloud experience with GCP and Rancher K3s; advanced Kubernetes ops.
• Experience with Airflow and Tidal for data/workflow orchestration.

Skills

SRE/DevOps

On-call leadership

Anomaly detection

Python

React

Java

SLIs/SLOs

Observability

Prometheus

Grafana

OpenTelemetry

Log aggregation

Loki

Splunk

Elasticsearch

Kubernetes

GCP

Rancher K3s

Airflow

Tidal

Terraform

Ansible

Chaos engineering

Tools

Git

CI/CD

Job description

Job Description/ Responsibilities
• 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, OpenTelemetry, and at least two of the log aggregation solution (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 pipeline : Apache Airflow and Tidal.

Preferred Qualifications
• 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