Senior Site Reliability Engineer

ISO New England Inc.•Holyoke, MA

5d•$134,000 - $170,000•Hybrid

About The Position

The Senior Site Reliability Engineer (SRE) is a hands-on engineering role responsible for improving the reliability, observability, performance, and operational efficiency of ISO New England's IT services. The SRE works across infrastructure, platform, cyber security, and application teams to reduce operational toil, improve service resilience, and implement scalable automation solutions. This role has a strong emphasis on observability engineering, automation, Splunk administration, and Infrastructure as Code (IaC). The ideal candidate will possess hands-on experience with Splunk or demonstrate a strong willingness to develop expertise in the platform. Experience with Terraform, automation technologies such as Python and PowerShell, and the ability to leverage AI-assisted development tools to accelerate engineering solutions are key components of the role.

Requirements

5+ years of experience in SRE, DevOps, systems engineering, platform engineering, or IT operations
Experience with enterprise monitoring and observability platforms. Hands-on experience with Splunk is strongly preferred. Candidates without direct Splunk experience must demonstrate a strong willingness and aptitude to develop expertise in Splunk administration, engineering, and automation.
Experience designing, deploying, or managing infrastructure using Terraform and Infrastructure as Code (IaC) practices
Strong scripting and automation experience using Python, PowerShell, Bash, or similar technologies, including the development of operational tooling, integrations, and workflow automation in production environments
Demonstrated experience designing, developing, and supporting automation solutions that measurably reduced manual operational effort in an enterprise environment
Ability to read, understand, review, troubleshoot, and refine code produced by engineering teams or AI-assisted development platforms
Knowledge of distributed systems, networking, enterprise infrastructure, and cloud platforms
Familiarity with SRE principles including SLOs, error budgets, observability, and toil reduction
Ability to analyze and troubleshoot complex technical systems

Nice To Haves

Experience in mission-critical, highly available, or regulated environments
Experience utilizing AI-assisted development tools to accelerate automation, operational engineering, or platform management activities
Knowledge of ITIL processes and/or SRE best practices
Experience with performance testing, capacity planning, resilience testing, or disaster recovery validation

Responsibilities

Build and maintain observability, monitoring, logging, alerting, and telemetry platforms (e.g., Splunk, Dynatrace, PRTG, OpsGenie, StatusPage)
Administer, maintain, automate, and continuously improve the Splunk platform, including data onboarding, indexing, search performance, dashboards, access controls, health monitoring, platform scalability, and operational workflows
Develop and automate Splunk onboarding, configuration, monitoring, and operational workflows to improve platform reliability and reduce administrative overhead
Develop meaningful KPIs and dashboards for business and IT service health
Engineer and implement resilience patterns including HA, DR, and automated failover
Partner with infrastructure and application teams to plan and execute resilience testing and failover exercises to validate recovery capabilities and observability coverage
Conduct performance testing, capacity modeling, forecasting, and right-sizing
Participate in major incident response activities, providing technical expertise to accelerate service restoration and identify reliability improvements
Identify, prioritize, and eliminate manual operational toil through automation, targeting workflows, runbooks, alerting, platform administration, service management processes, and KPI collection, with a bias toward scalable and repeatable engineering solutions
Design, develop, maintain, and support automation solutions, integrations, and operational tooling using Python, PowerShell, Bash, or similar technologies to improve reliability, reduce manual effort, and enhance operational efficiency
Design, deploy, and manage infrastructure using Terraform and Infrastructure as Code (IaC) practices, including observability platforms, infrastructure services, and supporting technology stacks, with a focus on consistency, repeatability, and operational sustainability
Identify gaps in observability coverage and drive engineering solutions to close them
Collaborate with architecture and application teams to ensure production readiness
Leverage AI-assisted development tools to accelerate automation initiatives while reviewing, validating, troubleshooting, and refining generated code to ensure reliability, security, maintainability, and operational effectiveness
Reduce repeat incidents by engineering permanent fixes and driving continuous improvement