Senior SRE - AI Reliability & Automation Leader

Elsevier; Philadelphia (Philadelphia County); On-site; USD 120,000 - 180,000; Full time

Job summary

Elsevier is seeking a Senior Site Reliability Engineer to ensure the reliability, scalability, and performance of our critical platforms. You will drive automation, incident response, and observability, partnering with engineering teams to reduce toil and accelerate AI-powered feature delivery.

You will implement resilient systems, conduct RCAs, and contribute to playbooks and documentation for shared services.

Qualifications

• Proficient in Terraform modules, state management, drift detection, and remote state handling.
• Extensive AWS operations across multi-account, multi-region environments (ECS, RDS, S3, Lambda, DynamoDB, SQS).
• Experience with GitHub Actions CI/CD, OIDC, and deployment pipelines.
• Strong background in ECS Fargate, Docker, container deployment, health checks, and rollback.
• Proficient in security practices for cloud workloads (IAM, KMS, Secrets Manager, TLS).
• Solid Linux skills with Bash and Python scripting for automation and tooling.
• Experience deploying and operating AI tooling in production with reliability and security controls.

Responsibilities

• Create monitoring queries and establish service level baselines.
• Contribute to post-mortems and RCAs.
• Participate in disaster recovery tests.
• Implement automation and execute code in production environments.
• Document reliability knowledge and runbooks for runbook ownership.
• Support deployment, monitoring, and reliability of AI-integrated services.
• Assist with infrastructure topology drawings and deployment workflows.
• Test availability, reliability, and recoverability in non-production environments.

Skills

Observability

Incident response

Linux

Python

Bash

Tools

Terraform

AWS

GitHub Actions

Docker

ECS

ECR

Route53

IAM

KMS

CloudWatch

Job description

Elsevier is seeking a Senior Site Reliability Engineer to ensure the reliability, scalability, and performance of our critical platforms. You will drive automation, incident response, and observability, partnering with engineering teams to reduce toil and accelerate AI-powered feature delivery.

You will implement resilient systems, conduct RCAs, and contribute to playbooks and documentation for shared services.