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Cabify

Senior Site Reliability Engineer

Posted Yesterday
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In-Office or Remote
2 Locations
Senior level
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In-Office or Remote
2 Locations
Senior level
As a Senior Site Reliability Engineer, you will enhance infrastructure, improve scalability and reliability, and work with development teams on production practices.
The summary above was generated by AI

Do you want to change the world? At Cabify, that’s what we’re doing. We aim to make cities better places to live by improving mobility for the people living in them, connecting riders to drivers, providing mobility alternatives such as scooters and mopeds and many others to come, all at the touch of a button. Maybe one day cities will be places where nobody needs a private car. But we’ve still got a long way to go… Fancy joining us?

Our Product & Engineering teams are both based in Madrid, with a strong remote culture, and include an eclectic bunch of awesome people from different backgrounds like Ruby, Go, Elixir, Javascript, and Python.

Right now we’re working on some pretty greenfield projects with a solid set of product ideas lined up ready for innovative engineers to tackle. And of course we have big plans to take over the taxi app service industry!

Site Reliability Engineers at Cabify work on improving all aspects of our platform and have an impact across the whole organisation. They are a blend of systems engineers and software developers who solve scalability issues with software and implement the best production engineering and security practices.

Check our Public Tech Handbook >HERE< to know a bit more about us!


As a Site Reliability Engineer, you will be:

  • Evolving our infrastructure platform building self-service components that will be used by all the engineering team and by millions of users around the world.
  • Working closely with our Product and Infrastructure teams to architecture and develop world-class infrastructure components.
  • Designing and implementing tooling to improve the availability, scalability, observability and latency of our services, which are used by internal customers to deploy and operate their services.
  • Increasing reliability awareness with other teams, helping with the adoption of reliability principles and reviewing observability implementations or software architectures.
  • Defining SLIs, SLOs and SLAs as part of the services' lifecycle.
  • Sharing an on-call schedule for the platform services you own.
  • Solving problems in our highly available platform together with other teams, then build automations to prevent incidents from happening again.
  • Participating in our recruiting process to help grow our engineering team.

You may be a fit for this role if you:

  • Think Unix, you know the networking stack, the OSI model, containers (and schedulers), and you know your way around monitoring, logging and the CAP theorem (bonus!).
  • Have strong programming skills in at least one language, and know your way around a few more or can learn them if the opportunity arises.
  • Automate yourself out of everything by nature, making machines do the toil.
  • Communicate effectively and asynchronously. 
  • Care about the things that affect the company, your team, and yourself.
  • Embrace diversity and humbleness (and a bit of trolling).
  • Prefer taking iterative action over waiting for things to happen or to be perfect.
  • Strongly favor simplicity over complexity. Ie, adhering to the KISS principle.
  • Have a sense for identifying, exploiting and elevating bottlenecks.
  • Are not afraid of expressing yourself in English. We aren't expecting you to have the Queen's accent, but you'll be part of an international team and we communicate in English, so you should be comfortable with that.
  • Enjoy herding cats and shaving yaks. Ie, being a great influence to other product teams and teaching them best practices. As well as analyzing and simplifying our setup.

Projects you could work on:

  • Helping us iterate on and improve our Kubernetes setup (AWS EKS) and surrounding infrastructure (i.e. secrets, container images and repositories) using Terraform.
  • Iterate our networking layer to implement network policies, service mesh, and more…
  • Evolving our observability platform (Grafana stack and Cortex), in order to provide a first-class service to all of our engineering teams.
  • Operating and improving the persistence layer (SLQ and no-SQL DBs).
  • Maintaining our company-wide code repository and continuous integration solution (GitLab)

                         

What’s it like to work at Cabify?

We’re a company full of happy, motivated people, and we never want that to change. Here are some more reasons why it rocks to be part of our high-performance team:

💶 Excellent Salary conditions: L4 [up to 75K]
🏝️ Recharge day: 10 Fridays Off Annually!
🌍Our office is located in Madrid. This position is also open to a full remote role based in Spain.
⌚Flexible work environment & hours.
🙌Regular team events.
🚗Cabify staff free rides.
🚀Personal development programs based on our career paths.
🧘‍♀️ iFeel: Free access to the iFeel platform, so you can take care of your emotional well-being through therapy sessions.
📐Coursera: your own license in Coursera to take as many courses as you wish and continue developing your skills.
📐Free access to O'Reilly - The largest technical leading platform for engineers.
💳Flexible compensation plan: Restaurant tickets, transport tickets, healthcare and childcare
💻All the equipment you need (you only have to bring your talent).

At Cabify, diversity fuels our Product & Engineering teams. We actively recruit talent beyond traditional channels, embracing individuals from diverse backgrounds and supporting initiatives like - Women Tech Dating - Contrata Diferente and our Internal Diversity Committee. Our commitment is reflected in inclusive job descriptions, creating an environment where every contribution is cherished. Join Cabify to be part of innovative teams that truly represent the rich tapestry of talent in the tech industry.

Join us!

Top Skills

Elixir
Gitlab
Go
Grafana
JavaScript
Kubernetes
NoSQL
Python
Ruby
SQL
Terraform

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