Site Reliability Engineer - Fixed Term Contract

MMT; Barcelona; Presencial; EUR 50.000 - 70.000; Jornada completa

Descripción de la vacante

A leading technology company in Barcelona is seeking an experienced Site Reliability Engineer to enhance automation and optimize cloud infrastructure. Responsibilities include ensuring system reliability, leading incident responses, and collaborating closely with development teams. Candidates should have expertise in automation tools and cloud platforms, particularly Azure and AWS. This role offers an opportunity to work in a dynamic environment focused on scalability and performance improvements.

Formación

• Proven experience in running and maintaining production systems.
• Expertise in triaging and solving incidents.
• Proficiency in automation and configuration management tools.

Responsabilidades

• Own the uptime and performance of critical infrastructure and applications.
• Design scalable, fault-tolerant architectures.
• Lead incident response and conduct root cause analyses.

Conocimientos

Automation

System architecture

Problem-solving

Cloud platforms knowledge

Herramientas

Terraform

Docker

Kubernetes

GitHub Actions

Azure DevOps

Datadog

Descripción del empleo

Overview

The Role

We are seeking an experienced Site Reliability Engineer to play a pivotal role in bridging the gap between software engineering and operations. This role emphasizes designing robust solutions, mentoring teams, and driving performance improvements for both internal and client systems through expertise in automation, scalability, and system reliability. As a Site Reliability Engineer, you will be responsible for owning the uptime and performance of critical infrastructure and applications while working closely with clients to align reliability goals with their business objectives.

Responsibilities

System Reliability & Performance

• Own the uptime and performance of critical infrastructure and applications
• Design scalable, fault-tolerant architectures that meet business needs while maximizing operational efficiency
• Define and govern Non-Functional Requirements (NFRs) such as availability, performance, and maintainability for internal and client systems
• Proactively identify opportunities for system optimization, scalability, and cost reduction

Automation & Infrastructure

• Design and implement automation for monitoring, incident response, and repetitive operational tasks
• Implement Infrastructure as Code (IaC) practices with tools like Terraform, ARM templates and CloudFormation for consistent cloud environment provisioning
• Design and deploy containerized solutions using Docker and Kubernetes on cloud platforms
• Set up and manage CI / CD pipelines and frameworks tailored for cloud-native applications using GitHub Actions and Azure DevOps

Cloud Infrastructure & Operations

• Participate in architectural decisions and implement cloud infrastructure solutions using Azure and AWS services, ensuring high availability and scalability
• Manage and optimize cloud resources to improve performance, cost efficiency, and security
• Apply cloud-native best practices to secure and govern cloud environments, ensuring compliance with industry standards
• Integrate advanced monitoring and alerting tools (e.g., Datadog, CloudWatch, Application Insights) to maintain system observability in multi-cloud environments

Incident Management & Analysis

• Lead incident response, conduct root cause analyses, and produce blameless postmortems to prevent future occurrences
• Collaborate with development teams to integrate observability and performance metrics into the development lifecycle
• Build and maintain executive-level and developer-centric dashboards to visualize key metrics

Technical Expertise

• Proven experience in running and maintaining production systems with expertise in triaging and solving incidents
• Proficiency in automation and configuration management tools (e.g., Terraform, Ansible)
• Expertise in cloud platforms, particularly Azure and AWS, and their associated tools
• Strong programming skills, with a primary focus on Python, for developing automation scripts, creating custom tooling, and optimizing operational workflows
• Experience with modern observability platforms such as Datadog

Skills & Experience

• A solid foundation in system architecture, with a focus on scalability and reliability
• Exceptional problem-solving skills and a data-driven mindset

Desirable Requirements

• Experience with container orchestration tools such as Kubernetes
• Familiarity with CI / CD pipelines and tools like GitHub Actions and Azure DevOps
• Knowledge of security best practices in cloud and hybrid environments