Site Reliability Engineer (SRE)

Welcome! A lot more coming soon!

Please verify this platform information with authenticated sources before using in real life

Site Reliability Engineering (SRE) is an engineering discipline that applies aspects of software engineering to infrastructure operations. The main goals are to create ultra-scalable and highly reliable software systems.

Site Reliability Engineer

1. What It Is

A Site Reliability Engineer (SRE) focuses on ensuring the reliability, scalability, and performance of software systems. They automate operations, monitor system health, respond to incidents, and work to prevent future outages by writing code and improving processes. Crucially, SRE is about treating operations as a software problem.

2. Where It Fits in the Ecosystem

SRE sits at the intersection of development (Dev) and operations (Ops), forming DevOps. They work closely with developers to build robust applications and with operations teams to manage infrastructure. They are responsible for maintaining the overall health and stability of production environments.

3. What to Learn Before This

  • Basic Computer & Internet Knowledge
  • Linux Fundamentals (command-line, system administration)
  • Networking Basics (TCP/IP, DNS, HTTP)
  • Scripting (Python, Bash)
  • Cloud Computing Concepts
  • Version Control (Git)
  • Software Development Fundamentals (basic coding principles)

4. What to Learn After This

  • Configuration Management (Ansible, Chef, Puppet)
  • Containerization (Docker, Kubernetes)
  • Monitoring Tools (Prometheus, Grafana, ELK stack)
  • Cloud Platforms (AWS, Azure, GCP) - in depth
  • CI/CD Pipelines (Jenkins, GitLab CI)
  • Infrastructure as Code (Terraform, CloudFormation)
  • Databases (SQL, NoSQL)
  • Advanced Networking Concepts
  • Incident Management and Response
  • Observability (Tracing, Logging, Metrics)
  • Performance Optimization

5. Similar Roles

  • DevOps Engineer
  • Systems Engineer
  • Cloud Engineer
  • Production Engineer
  • Infrastructure Engineer

Key Difference: While all these roles involve managing infrastructure, SREs emphasize using software engineering principles and automation to improve reliability and scale. DevOps Engineers focus more on collaboration and streamlining development processes. Systems/Cloud/Infra Engineers might not always be involved in coding and automation to the same degree as an SRE.

6. Companies Hiring This Role

  • Google, Netflix, Facebook
  • Amazon, Microsoft, Apple
  • Fintech companies (Stripe, Square)
  • SaaS providers (Salesforce, Atlassian)
  • Large enterprises with complex systems

7. Salary (as of 2025)

  • India

    • Freshers: ₹6-12 LPA (starting salary highly variable based on company and skills)
    • Mid-level (3-5 yrs): ₹15-30 LPA
    • Senior: ₹30-60+ LPA

  • US

    • Entry-level: $100K-$140K/year
    • Mid-level: $140K-$200K/year
    • Senior: $200K-$300K+/year

8. Resources to Learn

Free

Paid

Books

  • "Site Reliability Engineering" - Google
  • "The Phoenix Project" - Gene Kim, Kevin Behr, and George Spafford
  • "Effective DevOps" - Jennifer Davis and Ryn Daniels

9. Certifications

(Highly valuable)

  • AWS Certified DevOps Engineer – Professional
  • Google Cloud Certified Professional Cloud Architect
  • Certified Kubernetes Administrator (CKA)
  • Certified Kubernetes Security Specialist (CKS)

10. Job Outlook & Future

  • Extremely High Demand due to the increasing complexity of systems.
  • Essential for cloud-native architectures and microservices.
  • Growing emphasis on automation, observability, and proactive problem-solving.
  • High-paying and globally competitive roles.

11. Roadmap to Excel (Simple English)

Beginner

  1. Learn Linux fundamentals and command-line basics.
  2. Learn a scripting language (Python or Bash).
  3. Understand networking concepts (TCP/IP, DNS, HTTP).
  4. Learn Git and version control.
  5. Get familiar with cloud computing concepts (AWS, Azure, GCP).
  6. Learn Docker and containerization basics.

Intermediate

  1. Learn Kubernetes and container orchestration.
  2. Master a configuration management tool (Ansible, Chef, Puppet).
  3. Learn monitoring tools (Prometheus, Grafana, ELK stack).
  4. Implement CI/CD pipelines (Jenkins, GitLab CI).
  5. Learn Infrastructure as Code (Terraform, CloudFormation).
  6. Gain experience with incident management and response.

Advanced

  1. Deep dive into cloud platforms (AWS, Azure, GCP).
  2. Master advanced networking concepts.
  3. Implement observability strategies (tracing, logging, metrics).
  4. Develop skills in performance optimization and capacity planning.
  5. Contribute to open-source projects.
  6. Focus on automation and proactive problem-solving.