SRE Developer (IAM)

Key Responsibilities:

• Monitoring & Alerting

  :
• Develop, maintain, and enhance monitoring and alerting systems using

  Datadog

  to proactively identify and address potential issues, ensuring optimal system performance.

• CI/CD Pipelines

  :
• Participate in the design and implementation of

  CI/CD pipelines

  using

  Azure DevOps

  , enabling automated and reliable software delivery.

• Incident Response

  :
• Lead efforts in

  incident response

  and troubleshooting to quickly diagnose and resolve production incidents, minimizing downtime and impact on users.

• Reliability Initiatives

  :
• Take ownership of

  reliability initiatives

  by identifying areas for improvement, conducting

  root cause analysis

  , and implementing solutions to prevent recurrence of incidents.

• Collaboration

  :
• Collaborate with cross-functional teams to ensure

  security

  ,

  compliance

  , and

  performance standards

  are met throughout the development lifecycle.

• On-call Support

  :
• Participate in

  on-call rotations

  and provide

  24/7 support

  for critical incidents, ensuring rapid response and resolution.

• SLOs & SLIs

  :
• Work with development teams to define and establish

  Service Level Objectives (SLOs)

  and

  Service Level Indicators (SLIs)

  to measure and maintain system reliability.

• Documentation

  :
• Contribute to the

  documentation

  of processes, procedures, and best practices to enhance knowledge sharing within the team.

Qualifications:

• Education

  :
• Bachelor's degree in

  Computer Science

  ,

  Information Technology

  , or a related field, or equivalent work experience.

• Experience

  :
• Minimum of

  4 years

  of experience in a

  Site Reliability Engineer

  or similar role, managing

  cloud-based infrastructure on AWS with EKS

  .

• AWS Expertise

  :
• Strong expertise in

  AWS services

  , especially

  EKS

  , including

  cluster provisioning

  ,

  scaling

  , and

  management

  .

• Monitoring & Observability

  :
• Proficiency in using

  monitoring

  and

  observability tools

  , with hands-on experience in

  Datadog

  or similar tools for tracking system performance and generating meaningful alerts.

• CI/CD Experience

  :
• Experience in implementing

  CI/CD pipelines

  using

  Azure DevOps

  or similar tools to automate software deployment and testing.

• Containerization & Orchestration

  :
• Solid understanding of

  containerization

  and

  orchestration technologies

  (e.g.,

  Docker

  ,

  Kubernetes

  ) and their role in modern application architectures.

• Troubleshooting

  :
• Excellent troubleshooting skills and the ability to analyze complex issues, determine root causes, and implement effective solutions.

• Scripting & Automation

  :
• Strong

  scripting

  and

  automation skills

  (e.g.,

  Python

  ,

  Bash

  ).

• IaC (Infrastructure as Code)

  :
• Familiarity with

  Infrastructure as Code (IaC)

  tools such as

  Terraform

  or

  CloudFormation

  .

• Incident Management

  :
• Experience with

  incident management

  ,

  post-incident analysis

  , and implementing improvements based on lessons learned.

• Security & Compliance

  :
• Good understanding of

  security best practices

  and

  compliance standards

  in cloud environments.

• Communication

  :
• Exceptional

  communication skills

  and the ability to collaborate effectively with cross-functional teams.

• On-call Rotations

  :
• Willingness to participate in

  on-call rotations

  and provide off-hours support when necessary.

Preferred Qualifications:

• Relevant certifications such as:

• AWS Certified DevOps Engineer

• AWS Certified SRE

• Kubernetes certifications

• Experience with other cloud platforms (e.g.,

  Azure

  ,

  Google Cloud Platform

  ).
• Familiarity with

  microservices architecture

  and

  service mesh technologies

  .
• Prior experience with

  application performance tuning

  and

  optimization

  .