Compunnel, Inc.
We are seeking an experienced Site Reliability Engineer (SRE) to join the Applied AI and Data Science program.
This role focuses on deploying, monitoring, and optimizing cloud-based applications and infrastructure to ensure high availability and performance.
The ideal candidate will have strong expertise in AWS, containerized microservices, infrastructure automation, and monitoring tools.
Key Responsibilities
Release Management: Build and deploy application, service, and infrastructure releases; validate system integrity post-deployment; document release notes.
Production Support: Maintain 99.999% availability of critical systems; monitor infrastructure and applications; perform root cause analysis for outages; respond to incidents.
Monitoring & Alerting: Implement monitoring policies; build dashboards; track system efficiency and resource consumption; alert stakeholders for SLA deviations.
Optimization: Manage resource scaling; optimize system performance and resource utilization.
Team Collaboration: Assist with user support; coordinate with onshore/offshore teams; develop bug fixes; become an expert in system architecture and deployment pipelines.
Required Qualifications
6+ years of DevOps or SRE experience in large, complex environments.
Strong background in software development (OOP) and ability to read/debug code.
Expertise in AWS services (EKS, S3, DocumentDB) and Terraform for Infrastructure as Code.
Experience with Kubernetes, containerized microservices, and cloud deployments.
Proficiency with GitLab or similar CI/CD tools for pipeline management.
Hands‑on experience with monitoring tools such as Datadog or Splunk.
Bachelor’s degree in a related field or equivalent experience.
Preferred Qualifications
Familiarity with Python, Node.js, React, TypeScript, and GraphQL.
Exposure to relational (SQL) and NoSQL databases.
Experience with Docker, Redis, and ORM frameworks.
Knowledge of experimentation, statistical testing, and data analysis.
Master’s degree in a related field is a plus.
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This role focuses on deploying, monitoring, and optimizing cloud-based applications and infrastructure to ensure high availability and performance.
The ideal candidate will have strong expertise in AWS, containerized microservices, infrastructure automation, and monitoring tools.
Key Responsibilities
Release Management: Build and deploy application, service, and infrastructure releases; validate system integrity post-deployment; document release notes.
Production Support: Maintain 99.999% availability of critical systems; monitor infrastructure and applications; perform root cause analysis for outages; respond to incidents.
Monitoring & Alerting: Implement monitoring policies; build dashboards; track system efficiency and resource consumption; alert stakeholders for SLA deviations.
Optimization: Manage resource scaling; optimize system performance and resource utilization.
Team Collaboration: Assist with user support; coordinate with onshore/offshore teams; develop bug fixes; become an expert in system architecture and deployment pipelines.
Required Qualifications
6+ years of DevOps or SRE experience in large, complex environments.
Strong background in software development (OOP) and ability to read/debug code.
Expertise in AWS services (EKS, S3, DocumentDB) and Terraform for Infrastructure as Code.
Experience with Kubernetes, containerized microservices, and cloud deployments.
Proficiency with GitLab or similar CI/CD tools for pipeline management.
Hands‑on experience with monitoring tools such as Datadog or Splunk.
Bachelor’s degree in a related field or equivalent experience.
Preferred Qualifications
Familiarity with Python, Node.js, React, TypeScript, and GraphQL.
Exposure to relational (SQL) and NoSQL databases.
Experience with Docker, Redis, and ORM frameworks.
Knowledge of experimentation, statistical testing, and data analysis.
Master’s degree in a related field is a plus.
#J-18808-Ljbffr