AWS Operational Support Engineer (Remote - PT)

Claranet Portugal; Portugal; Presencial; EUR 35 000 - 55 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Integration into a dynamic team

Additional training

Salary package according to the role

Resumo da oferta

A leading IT services company in Portugal is seeking an AWS Operational Support Engineer to monitor and optimize AWS production environments. Responsibilities include managing observability tools, supporting CI/CD pipelines, and maintaining operational documentation. The ideal candidate must have proven AWS operational experience, strong troubleshooting skills, and scripting capabilities. They will join a dynamic team focused on performance and resilience, supported by additional training and a competitive salary package.

Qualificações

• Proven experience in AWS operations and production support environments.
• Strong troubleshooting skills across infrastructure, networking, databases, and cloud services.
• Scripting and automation skills using Python and Bash.

Responsabilidades

• Monitor and optimise AWS-based production environments.
• Lead the response to critical production incidents.
• Create and maintain operational documentation.

Conhecimentos

AWS operations

Production support environments

EC2

ECS

S3

IAM

Troubleshooting skills

Python

Bash

CI/CD pipelines

Ferramentas

CloudFormation

AWS CDK

Docker

Datadog

X-Ray

Descrição da oferta de emprego

We're fast learners, hard workers, natural collaborators... and we Make Modern Happen!

Our ambition is to unlock the potential of our digital world so that organisations everywhere can innovate and thrive securely. We aim to achieve this goal by bringing together the world’s most talented people and the most powerful technologies, combining them to address our customers' challenges and to build something stronger together.

Right now, we are looking for an AWS Operational Support Engineer for a client on our Talent Team.

Your responsibilities include:

• Monitor and optimise AWS-based production environments, ensuring high availability, performance, and resilience.
• Manage observability tools such as CloudWatch, X-Ray, Datadog, and custom dashboards to provide real-time visibility across infrastructure and applications.
• Lead the response to critical production incidents, including troubleshooting, root cause analysis, mitigation, and post-mortem reporting.
• Maintain and improve disaster recovery processes, failover procedures, backup strategies, and resilience testing.
• Support ECS clusters, EC2 instances, load balancers, databases, RabbitMQ, and S3 services.
• Troubleshoot and support CI/CD pipelines, Infrastructure as Code deployments, and production releases.
• Collaborate with development teams to improve application performance, database queries, and operational reliability.
• Manage IAM roles, security configurations, certificates, and access controls according to best practices.
• Create and maintain operational documentation, runbooks, and incident procedures.

You must have:

• Proven experience in AWS operations and production support environments.
• Strong knowledge of EC2, ECS, S3, IAM, VPC, CloudWatch, Route 53, Load Balancers, and Infrastructure as Code tools such as CloudFormation or AWS CDK.
• Experience with Docker, ECS, CI/CD pipelines, Jenkins, and AWS Code services.
• Knowledge of Aurora PostgreSQL, MongoDB Atlas, RabbitMQ, and monitoring tools such as Datadog and X-Ray.
• Strong troubleshooting skills across infrastructure, networking, databases, and cloud services.
• Experience with disaster recovery, failover testing, backup strategies, and resilience practices.
• Scripting and automation skills using Python and Bash.
• Ability to read and troubleshoot Java, Python, or TypeScript code.
• Experience managing production incidents, root cause analysis, and operational runbooks.
• Strong communication, analytical, and documentation skills.

We offer:

• Integration into a dynamic and motivated team for the performance of the role.
• Additional training.
• Salary package according to the role performed.