Site Reliability Engineer (SRE)

Air Apps; San Francisco (CA); On-site; USD 140,000 - 180,000; Full time

Benefits offered by this job

Apple hardware ecosystem for work.

Annual Bonus.

Medical Insurance (vision & dental)

Disability insurance - short and long‑

401k up to 4%

Job summary

Air Apps is seeking a Site Reliability Engineer to ensure the reliability, availability, and scalability of our AI-powered Personal & Entrepreneurial Resource Planner across cloud environments. You will join a team bridging software development and operations to minimize downtime.

You'll design scalable systems, implement observability, and automate deployments using IaC, Docker, and Kubernetes, while collaborating with cross-functional teams and supporting on-call rotations to keep services

Qualifications

• 4+ years in SRE/DevOps or sys engineering.
• Strong knowledge of AWS, Azure or GCP.
• Experience with monitoring: Prometheus, Grafana, Datadog or ELK.
• Proficient in IaC: Terraform, CloudFormation or Pulumi.
• Hands-on with Docker, Kubernetes and Helm.
• Strong Linux admin and networking basics.
• Experience with incident management and RCA.

Responsibilities

• Design scalable, reliable, and fault-tolerant systems across cloud environments.
• Develop and maintain observability tools and dashboards.
• Automate provisioning, deployment, and incident response with IaC.
• Optimize performance, capacity, and incident response workflows.
• Collaborate with development and DevOps to improve reliability.
• Perform RCA and implement preventative measures.
• Ensure high availability with load balancing and DR strategies.
• Improve CI/CD pipelines for faster, stable deployments.
• Manage cloud costs across AWS, Azure, or GCP.
• Participate in on-call rotations to minimize downtime.

Skills

SRE/DevOps experience

Cloud platforms

Observability tools

IaC (Terraform/CF/Pulumi)

Containerization (Docker/K8s)

Linux admin

Incident management

Scripting (Bash/Python/Go)

Load balancing

Security/compliance

Cross-functional collab

Tools

Terraform

CloudFormation

Pulumi

Prometheus

Grafana

Datadog

ELK

New Relic

Docker

Kubernetes

Helm

Bash

Python

Go

Job description

About Air Apps

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.

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.

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.

What benefits are we offering?

• Apple hardware ecosystem for work.
• Annual Bonus.
• Medical Insurance (including vision & dental).
• Disability insurance - short and long-term.
• 401k up to 4% contribution.
• Air Conference - an opportunity to meet the team, collaborate, and grow together.
• Transportation budget
• Free meals at the hub
• Gym membership

Diversity & Inclusion

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.

Application Disclaimer

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.