Senior Site Reliability Engineer II

This is a fully remote position, open to applicants in North Carolina, +3 more states.

📋 Description

• Oversee the daily operations of the Life Sciences SRE team in alignment with priorities set by the SRE Manager

• Implement reliability and toil-reduction initiatives alongside SREs and contractors

• Collaborate with the Senior Software Architect for Life Sciences to enhance processes, tools, and development strategies

• Engage with teams across Reed Tech to standardize tools, practices, and guidelines

• Shape service level objectives for Life Sciences production systems

• Act as an escalation point during major incidents and direct restoration efforts

• Diagnose and resolve intricate systems and application issues in both development and production settings

• Enhance the SRE framework and contribute to the collective SRE knowledge documentation

• Develop disaster recovery strategies

• Mentor junior SREs and prepare them for on-call responsibilities

• Advocate for AI-assisted development and operational tools

• Create reusable dashboards, establish observability standards, SLOs, and error budgets

• Perform incident analysis, optimize performance, conduct failover testing, manage production recovery, and facilitate blameless post-mortems

• Assist in platform modernization, CI/CD and SDLC enhancements, standard platform adoption, and operational health reporting

• Promote SRE best practices, mentor engineers, identify skill gaps, and lead automation and toil-reduction projects

⛳️ Requirements

• Proven experience as a Senior Site Reliability Engineer

• Proficient with Microsoft Azure

• Familiarity with VMs/VMSS, App Service, Azure Functions, and the expanding use of Azure Kubernetes Service (AKS)

• Experience with Azure DevOps Pipelines

• Knowledge of source control and GitHub; GitHub Actions currently under evaluation

• Experience with Azure Monitor and Log Analytics; familiarity with Datadog is a plus

• Proficient in Terraform

• Experience using AI-assisted coding tools such as Claude, GitHub Copilot, or Codex

• Interest or hands-on experience applying AI/ML to observability, automation, or incident response

• Willingness to experiment with and assess emerging AI tools

• Strong understanding of full-stack observability, incident analysis, and performance optimization

• Experience with on-call readiness, mentoring, major incident response, blameless post-mortems, and root-cause analysis

• Advanced knowledge of high-availability systems, resiliency patterns, deployment strategies, and recovery practices

• Experience with failover testing, production recovery, Infrastructure-as-Code, and configuration management tools

• Familiarity with platform modernization, CI/CD, SDLC improvements, and operational health reporting

• Ability to serve as a trusted technical advisor and promote alignment on standards and tools

• Capacity to mentor engineers, identify skill gaps, and advocate for automation and toil reduction

🏝️ Benefits

• Flexible working hours

• Shared parental leave

• Study assistance

• Sabbaticals

• Medical, dental and vision benefits

• 401(k) with match

• Employee Share Purchase Plan

• Wellness platform with incentives

• Headspace app subscription

• Employee Assistance and Time-off Programs

• Short-and-Long Term Disability insurance

• Life and Accidental Death Insurance

• Critical Illness insurance

• Hospital Indemnity

• Family bonding and family care leaves

• Adoption and surrogacy benefits

• Health Savings, Health Care, Dependent Care and Commuter Spending Accounts

• Up to two days of paid leave each to engage in Employee Resource Groups and volunteer