Original listing text, shown exactly as published by the company.
The Role
As a Site Reliability Engineer (SRE) at Air Apps, you will be responsible for ensuring the reliability, availability, and scalability of our systems. You will work at the intersection of software development and operations, implementing automation, monitoring, and performance optimization strategies to minimize downtime and improve system resilience.
- This is a fully onsite position, based at our office in Lisbon, where you will collaborate closely with cross-functional teams in person and contribute to a dynamic and fast-paced environment. We are open to support with relocation efforts.
Responsibilities
- Design and implement scalable, reliable, and fault-tolerant systems across cloud environments.
- Develop and maintain observability tools, including monitoring, logging, and alerting (e.g., Prometheus, Grafana, Datadog, ELK).
- Automate infrastructure provisioning, deployment, and incident response using Infrastructure as Code (IaC) tools like Terraform or CloudFormation.
- Optimize system performance, scalability, and incident response workflows to improve uptime.
- Work closely with development and DevOps teams to improve system design for reliability.
- Conduct root cause analysis (RCA) and implement preventative measures to minimize failures.
- Ensure high availability by designing and maintaining load balancing, failover, and disaster recovery strategies.
- Improve CI/CD pipelines to enhance deployment speed while maintaining stability.
- Optimize cloud cost and resource utilization for AWS, Azure, or Google Cloud Platform (GCP).
- Participate in on-call rotations to quickly address system failures and minimize downtime.
Requirements
- Around 4+ years of experience in Site Reliability Engineering (SRE), DevOps, or System Engineering.
- Strong knowledge of cloud platforms (AWS, Azure, or GCP) and cloud-native architectures.
- Experience with observability and monitoring tools (Prometheus, Grafana, ELK, Datadog, New Relic).
- Proficiency in Infrastructure as Code (IaC) tools such as Terraform, CloudFormation, or Pulumi.
- Hands-on experience with containerization and orchestration (Docker, Kubernetes, Helm).
- Strong Linux system administration and networking fundamentals.
- Experience with incident management, debugging, and root cause analysis.
- Proficiency in scripting (Bash, Python, or Go) for automation and system monitoring.
- Knowledge of load balancing, failover strategies, and distributed systems.
- Understanding of security best practices, access control, and compliance requirements.
- Strong communication skills and the ability to collaborate with cross-functional teams.
