Site Reliability Engineer (Guadalajara)

Overview

We help our clients enhance their talent attraction capacities, especially in technological profiles. We constantly innovate and actively seek to find the best solutions for clients and professionals. We understand the needs of our customers and aim to be the industry specialists. We offer consulting services to technology companies in various areas, including IT, software development, cybersecurity, and project management. Our employees are the reason for the company's existence, and their satisfaction translates into that of our customers.

Diligent is looking for a Site Reliability Engineer (SRE) with a strong software engineering background to lead initiatives that ensure the reliability, scalability, and performance of our applications and infrastructure. This role is suitable for someone passionate about automation, observability, and continuous improvement in production environments. The ideal candidate is a seasoned Site Reliability Engineer with a strong background in automation, performance optimization, and operational excellence. You are passionate about building resilient systems and thrive in fast-paced, complex environments. Strong communication skills will be required as you will be working with multiple engineering teams to implement more efficient and reliable procedures.

Key Responsibilities

• Support multiple Diligent datacentres and deployments in the Cloud (AWS, Azure, GCP).
• Lead and improve daily operational processes across production environments.
• Contribute to incident management and response efforts, conduct root cause analysis and lead retrospective reviews for all Diligent applications.
• Build self-service tools and automation pipelines to enhance developer productivity and system reliability.
• Drive observability, cost optimization, and security best practices across cloud environments.
• Collaborate with engineering and SRE teams to improve system performance, maintainability, and scalability.
• Ensure high availability and fault tolerance of cloud services through proactive monitoring and automation.

Required Experience / Skills

• 3+ years of professional experience in Software Engineering, DevOps, or Site Reliability Engineering.
• Provide support to development teams on monitoring, scalability, and reliability.
• Intermediate-level experience with AWS, including services like EC2, Lambda, ECS, Fargate, S3, IAM, VPC, Route 53, RDS, DynamoDB, and CloudWatch.
• Experience with Infrastructure as Code (IaC) using Terraform, Terraform CDK or AWS CDK.
• Proficiency in designing, implementing, and testing scalable software architectures.
• Strong automation and scripting abilities for operational workflows and cloud infrastructure.
• Demonstrated experience using AI tools to accelerate engineering workflows (code generation, test writing, documentation, RCA analysis).
• Familiarity with LLM APIs and prompt engineering for automation tasks.
• Experience with building AI-assisted runbooks, alert triage, or auto-remediation workflows.
• Ability to critically evaluate AI-generated code and configurations for correctness, security, and operational risk.
• Excellent problem-solving skills.

Preferred Experience / Skills

• Practical use of AI coding assistants (GitHub Copilot, Cursor) in day-to-day engineering.
• Experience with Kubernetes (EKS, Fargate, or Rancher).
• Familiarity with monitoring and observability tools like OpenSearch (Elastic), SignalFX, or AWS-native services.
• Experience with event-driven architectures and serverless computing.
• Intermediate-level Object-Oriented Programming (OOP) skills, with experience in TypeScript or Python.
• Good working experience for a wide range of technologies, frameworks, and platforms such as AWS Cloud, Windows, Linux, and Kubernetes.