Engineers reliability with SLO, automation and data instead of manual firefighting.
Entry
Senior
Coding
High
Key skills
Common progression
What is a Site Reliability Engineer?
Site Reliability Engineering (SRE) is the discipline that applies software engineering to operations problems. A Site Reliability Engineer engineers reliability with data instead of manual firefighting: they define SLI and SLO, manage error budgets, build deep observability, automate repetitive toil, run blameless post-mortems and influence architecture for reliability. When the error budget is spent, reliability work wins over new features.
Career overview
SRE applies software engineering to operations problems. Instead of promising "no downtime", the SRE measures it: SLI, SLO, error budgets. When the budget is spent, reliability work wins over features. Day to day it means deep observability, load and failure testing, capacity models, automation of anything repetitive, and blameless post-mortems that actually change the system.
Main responsibilities
- Define SLI/SLO and manage the error budget
- Implement metrics, logs and tracing end to end
- Reduce toil through automation and better tooling
- Lead incident resolution and post-mortem analysis
- Operate Kubernetes clusters and their add-ons
- Describe infrastructure as code and version it
- Follow capacity, performance and resource usage
- Automate recurring tasks with scripts
- Build and maintain CI/CD pipelines
- Write and improve operational runbooks
- Take part in on-call rotations
- Mentor junior team members and review their work
Technical skills
Technologies
Education level
Education requirements vary depending on the company, country and experience. Professional experience, certifications and technical skills can sometimes compensate for formal education.
High School / Bac
Less common
Bac+2 (2-year degree)
Less common
Bac+3 (Bachelor)
Common entry point
Bac+5 (Master / Engineering)
Common entry point
Experience & coding level
Experience level
Coding level
Useful certifications
Certifications are never mandatory. They are one way among others to prove a skill.
- CKA / CKAD
- Google Professional Cloud DevOps Engineer
- AWS Solutions Architect
Where can this career take you?
Multiple paths are possible. Click a role to open its profile.
Direct progression
Possible branches
Common trajectories
Where can you go next?
Realistic next career moves, with compatibility and a transition roadmap for each.
Overlap: 37% · Difficulty: Medium
Skills to learn: CI/CD at scale, Developer experience, Cloud architecture
View roadmapOverlap: 0% · Difficulty: Hard
Skills to learn: Cloud architecture, Landing zones, Hybrid cloud
View roadmapOverlap: 36% · Difficulty: Medium
Skills to learn: AWS / Azure / GCP, Cloud networking, Identity & access management
View roadmapOverlap: 48% · Difficulty: Easy
Skills to learn: CI/CD pipelines, Docker, Cloud (AWS/Azure/GCP)
View roadmapOverlap: 49% · Difficulty: Medium
Skills to learn: CI/CD at scale, DevSecOps, Cloud architecture
View roadmapOverlap: 79% · Difficulty: Easy
Skills to learn: Capacity planning, Mentoring
View roadmapWhere can you go from here?
A typical progression built from real career relationships. Click any role to open its profile.
Soft skills
- Staying calm under pressure
- Rigour and attention to detail
- Problem solving
- Sense of ownership
- Big-picture thinking
- Clear communication
Common previous careers
Roles that frequently lead into this career.
Overlap: 42% · Difficulty: Hard
Skills to learn: Kubernetes, SLO & error budgets, Performance engineering
View roadmapOverlap: 53% · Difficulty: Medium
Skills to learn: SLO & error budgets, Terraform, Distributed systems
View roadmapOverlap: 11% · Difficulty: Hard
Skills to learn: Observability & tracing, Kubernetes, Programming (Go/Python)
View roadmapOverlap: 31% · Difficulty: Hard
Skills to learn: Observability & tracing, Kubernetes, SLO & error budgets
View roadmapOverlap: 50% · Difficulty: Medium
Skills to learn: SLO & error budgets, Performance engineering, Distributed systems
View roadmapOverlap: 28% · Difficulty: Hard
Skills to learn: Observability & tracing, Kubernetes, SLO & error budgets
View roadmapHow to become a Site Reliability Engineer
- 1
Build deep Linux and networking
SREs debug at the kernel and network level. Master Linux internals, performance, networking and distributed systems before anything else.
- 2
Learn to program
SRE is a software engineering role. Pick Go or Python and write real automation, tools and services — not just scripts.
- 3
Master Kubernetes and infrastructure as code
Modern reliability runs on Kubernetes, Terraform and GitOps. Operate clusters, write Helm charts and provision infrastructure as code.
- 4
Learn SLO, SLI and error budgets
The heart of SRE is measuring reliability. Learn to define SLI, negotiate SLO with product, and use error budgets to prioritise reliability work over features.
- 5
Practise incident response and observability
Join on-call rotations, lead incidents and write blameless post-mortems. Instrument services with OpenTelemetry, Prometheus and Grafana so you can answer “why is this slow?”.
Site Reliability Engineer compared with adjacent roles
How this role differs from neighbouring IT jobs.
Site Reliability Engineer vs DevOps Engineer
Site Reliability Engineer vs Platform Engineer
Site Reliability Engineer vs Production Engineer
Frequently asked questions
What is Site Reliability Engineering?
Site Reliability Engineering is the discipline that applies software engineering to operations. Instead of promising zero downtime, an SRE measures it through SLI, SLO and error budgets, and engineers reliability with automation, observability and blameless post-mortems.
What does an SRE do?
An SRE defines SLI and SLO, manages error budgets, builds observability, automates toil, leads incident response, writes blameless post-mortems and influences architecture for reliability. When the error budget is spent, reliability work takes priority over new features.
What are SLO, SLI and error budgets?
An SLI (Service Level Indicator) is a measured signal of reliability, like request success rate. An SLO (Service Level Objective) is the target you commit to, like 99.9% success. The error budget is the gap between the SLO and 100%: when it is spent, reliability work wins over features.
What skills does an SRE need?
Deep Linux and networking, programming (Go or Python), Kubernetes, infrastructure as code (Terraform), observability (Prometheus, Grafana, OpenTelemetry), distributed systems, SLO design and incident command.
How do I become an SRE?
SRE is rarely an entry role. Common paths in are from Production Engineer, DevOps Engineer, System Engineer, Cloud Engineer, Software Engineer or monitoring/observability roles, after adding programming, Kubernetes, SLO design and incident response skills.
What is the difference between SRE and DevOps?
DevOps is delivery-first: CI/CD, infrastructure as code and the dev/ops culture. SRE is reliability-first: SLO, error budgets, observability and incident response. They overlap heavily, but SRE uses error budgets to arbitrate between features and reliability.
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