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.
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.
As a DevOps Engineer – Backend, you will play a key role in designing, automating, and maintaining the infrastructure that powers our backend systems. You’ll work closely with developers to streamline deployments, improve scalability, and ensure our services are reliable, secure, and cost-effective. By building efficient CI/CD pipelines, managing cloud environments, and enforcing infrastructure best practices, you’ll enable our teams to deliver high-quality features quickly and confidently.
Design, implement, and maintain CI/CD pipelines to automate build, test, and deployment processes.
Manage and optimize cloud infrastructure on AWS, Azure, or Google Cloud Platform (GCP).
Implement Infrastructure as Code (IaC) using tools like Terraform, CloudFormation, or Pulumi.
Deploy and manage containerized applications using Docker and Kubernetes.
Monitor system performance, identify bottlenecks, and improve infrastructure reliability.
Establish and enforce security best practices, including identity management, logging, and vulnerability management.
Work with development teams to improve deployment efficiency and troubleshoot infrastructure issues.
Optimize cloud resource utilization to ensure cost-effectiveness and scalability.
Automate infrastructure provisioning, configuration management, and system maintenance.
Stay up-to-date with emerging DevOps technologies, tools, and best practices.
Around 3+ years of experience in DevOps, Site Reliability Engineering (SRE), or Cloud Engineering.
Strong expertise in CI/CD tools (Jenkins, GitHub Actions, GitLab CI, CircleCI, ArgoCD).
Experience with cloud services (AWS, Azure, or GCP) and serverless computing.
Proficiency in Infrastructure as Code (IaC) tools like Terraform, CloudFormation, or Pulumi.
Hands-on experience with containerization and orchestration (Docker, Kubernetes, Helm).
Strong knowledge of Linux-based systems, networking, and security best practices.
Scripting skills in Bash, Python, or Go for automation.
Experience with monitoring and logging tools (Prometheus, Grafana, ELK, Datadog).
Understanding of cloud cost optimization, scalability, and high-availability architectures.
Strong problem-solving skills and ability to work in an agile, fast-paced environment.
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.
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