Site Reliability Engineer

Overview

Remote
Depends on Experience
Contract - W2
Contract - 12 Month(s)
No Travel Required
Unable to Provide Sponsorship

Skills

Amazon Web Services
Cloud Computing
Analytical Skill
Dashboard
Dynatrace
Google Cloud Platform
Kubernetes
Roadmaps
Microsoft Azure
Grafana

Job Details

We are seeking a highly skilled Site Reliability Engineer (SRE) with strong observability expertise, proven communication skills, and the ability to drive reliability maturity across multi-team environments. This role is ideal for someone who can blend deep technical proficiency with strategic thinking and collaborative influence.

 

Key Responsibilities

 

Observability Engineering

• Design, scale, optimize, and manage Prometheus and Grafana environments.

• Write advanced PromQL queries, dashboards, visualizations, and metric-based calculations.

• Build out and maintain Grafana instances, supporting multi-team use cases.

• Leverage Dynatrace with strong proficiency in metrics and analytics to deliver efficient, actionable observability solutions for engineering and operations teams (e.g., dashboards, insights, reports).

• Analyze telemetry data to identify the metrics that matter (MTM), drive actionable insights, and influence engineering decisions.

 

Site Reliability Engineering

• Apply and evolve an SRE Maturity Model to help teams mature across observability, resilience, automation, and reliability.

• Establish, implement, and maintain Service Level Objectives (SLOs) and error budgets across applications and services.

• Partner effectively with engineering, product, operations, and leadership teams; translate complex technical insights into clear, actionable communication.

• Identify and reduce toil through automation, tooling improvements, and process refinement.

• Support incident analysis, reliability reviews, and continuous improvement initiatives.

 

Required Skills & Experience

• Familiarity with SRE principles, maturity models, and reliability roadmaps.

• Demonstrated experience improving application reliability via data-driven decisions.

• Hands-on experience with Prometheus, Grafana, and PromQL.

• Strong understanding of Dynatrace, metric analysis, and observability practices.

• Excellent communication skills and ability to collaborate across diverse technical and non-technical teams.

• Strong analytical and problem-solving skills with a bias for action.

 

Nice to Have

Experience with Kubernetes, cloud platforms (AWS/Google Cloud Platform/Azure), or CI/CD pipelines.

Experience with Automation

Experience with large-scale distributed systems or high-availability architectures.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.