Site Reliability Engineer (SRE)
Air Apps · Lisbon ·
- Work mode
- Onsite
- Category
- SRE
- Experience
- 4+ years
- Company size
- 51-200
Air Apps · Lisbon ·
At Air Apps, we believe in thinking bigger—and moving faster. We’re a family-founded company on a mission to create the world’s first AI-powered Personal & Entrepreneurial Resource Planner (PRP), and we need your passion and ambition to help us change how people plan, work, and live. Born in Lisbon, Portugal, in 2018—and now with offices in both Lisbon and San Francisco—we’ve remained self-funded while reaching over 100 million downloads worldwide.
Our long-term focus drives us to challenge the status quo every day, pushing the boundaries of AI-driven solutions that truly make a difference. Here, you’ll be a creative force, shaping products that empower people across the globe.
Join us on this journey to redefine resource management—and change lives along the way.
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.
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.
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.
Apple hardware ecosystem for work.
Annual Bonus
Top-tier Health and Life Insurance for peace of mind.
Transportation Budget to support your commute needs.
Coverflex benefits package for meal allowances, well-being, and more.
Childcare support.
Air Conference - an opportunity to meet the team, collaborate, and grow together.
Pension Fund to support your long-term financial planning.
Urban Sports Club membership to keep you active.
Meals 100% free at the hub.
At Air Apps, we are committed to fostering a diverse, inclusive, and equitable workplace. We enthusiastically welcome applicants from all backgrounds, experiences, and perspectives. We celebrate diversity in all its forms and believe that varied voices and experiences make us stronger.
At Air Apps, we value transparency and integrity in our hiring process. Applicants must submit their own work without any AI-generated assistance. Any use of AI in application materials, assessments, or interviews will result in disqualification.