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Senior Site Reliability Engineer at VALCE Talent Solutions | JobVerse
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Senior Site Reliability Engineer
VALCE Talent Solutions
Website
LinkedIn
Senior Site Reliability Engineer
Guadalajara, Jalisco, Mexico
Full Time
4 weeks ago
No Sponsorship
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Key skills
AWS
Azure
Cloud
DynamoDB
EC2
Google Cloud Platform
Kubernetes
Linux
Python
Terraform
TypeScript
AI
LLM
GCP
Google Cloud
Serverless
ECS
EKS
Fargate
AWS CDK
Rancher
Lambda
S3
RDS
IAM
CloudWatch
GitHub
About this role
Role Overview
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.
Requirements
5 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.
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.
Tech Stack
AWS
Azure
Cloud
DynamoDB
EC2
Google Cloud Platform
Kubernetes
Linux
Python
Terraform
TypeScript
Benefits
N/A
Apply Now
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