Key Responsibilities
Creating monitoring queries and establishes service level baselines.
Supporting senior engineers during incidents.
Making contributions during post-mortems and RCAs.
Participating in disaster recovery tests.
Implementing automation and executes code in production environments.
Contributing to SRE knowledge documentation.
Supporting the deployment, monitoring, and reliability of services integrating AI tools.
Supporting architecture and senior engineers in the creation of infrastructure topology drawings and deployment workflows.
Carrying out the testing of availability, reliability, and recoverability in non-production environments.
Requirements
Advanced Terraform: Expertise in modules, providers, state management, lifecycle controls, drift detection, safe refactoring, and remote state (S3, locking, cross-stack dependencies).
AWS Operations: Hands-on experience managing production, multi-account, multi-region AWS environments across ECS, RDS, ALB, VPC, IAM, Route53, ECR, S3, Lambda, DynamoDB, SQS, Secrets Manager, KMS, and CloudWatch.
GitHub Actions CI/CD: Experience building and troubleshooting reusable workflows, OIDC authentication, approval gates, runners, Terraform deployments, application deployments, and migration pipelines.
ECS Fargate & Containers: Knowledge of Docker, ECR, ECS task definitions/services, IAM roles, health checks, autoscaling, ALB integration, and deployment rollbacks.
AWS Networking & Security: Proficiency in VPCs, networking, ALBs, Route53, ACM/TLS, IAM, OIDC, Secrets Manager, KMS, and cloud security best practices.
Incident Response & Observability: Skilled in troubleshooting using logs, metrics, alarms, deployment history, root cause analysis, rollback decisions, and operational runbooks.
Linux & Automation: Strong Linux and Git fundamentals with Bash/Python scripting for AWS CLI automation, CI/CD, and operational tooling.
AI Tooling Deployment: Hands-on experience integrating and operating AI services and APIs in production, including monitoring, reliability, and security practices for AI-powered features.
Developer Enablement: Ability to support multiple engineering teams, troubleshoot across infrastructure and application layers, document solutions, and enable secure self-service practices.
Elsevier is a renowned global information analytics company that primarily focuses on providing scientific, technical, and medical (STM) research content, tools, and services. It is one of the largest publishers of academic journals and scholarly literature in the world.
Elsevier operates in various domains, including science, technology, medicine, social sciences, and more. They publish a vast number of peer-reviewed journals covering a wide range of disciplines. These journals act as platforms for researchers and academics to share their findings and contribute to the advancement of knowledge in their respective fields.
In addition to publishing, Elsevier offers a suite of digital solutions and services to support researchers, scientists, and professionals in their work. They provide online platforms like ScienceDirect, Scopus, and Mendeley, which offer access to a vast repository of scholarly articles, research papers, and other scientific content. These platforms often serve as essential resources for software developers seeking to stay updated with the latest scientific advancements. 

U.S. National Base Pay Range: $95,300 - $158,800. Geographic differentials may apply in some locations to better reflect local market rates.



This job is eligible for an annual incentive bonus.





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