SW Engineer SMTS
Buenos Aires, Argentina
hace 5 días

Job Details

About Mulesoft, a Salesforce company : MuleSoft makes it easy to connect the world’s applications, data, and devices. We provide a flexible, unified software platform that enables organizations to easily build application networks using APIs - the digital glue that allows applications to talk to each other and exchange data.

MuleSoft is at the heart of the applications and services you use every day, like Netflix, Spotify, and Salesforce, from Global 500 corporations to emerging companies in more than 60 countries.

About the Position : MuleSoft has a huge opportunity in front of itself to power the digital transformation of all sized businesses worldwide.

Customers deploy large-scale, most important applications on our cloud platform and use the runtime services we provide for designing and running and leading these applications.

Our cloud platform services up to 60 billion transactions a month over multiple regions in the Americas, Europe, and Asia Pacific.

The team is looking for a Senior level member. The charter of the runtime plane team is to provide resilient, secure, high performance and user-friendly hosting platforms for any MuleSoft Runtimes.

You’ll be responsible for developing, improving, and operating one of the largest runtime planes (180k+ assets) for an integration platform as a service (iPaaS).

You’ll be working with engineering management, product owners, and architects to define and execute the platform architecture vision and continue to bring new technologies and products to onboard the platform.

Basic Requirements : 7+ years of meaningful experience. Deep understanding of object-oriented programming and experience with at least one programming language (Java, Node.

js, Python, Golang). Experience with developer tools like git, Maven / npm, and IntelliJ IDEA / WebStorm. Proven knowledge of Database technologies such as MongoDB, SQL, and relational database schema design.

Preferred Requirements : Experience in operation and deep knowledge of AWS. Experience and development / operation background of containerization technologies (such as Kubernetes).

Experience in building SaaS framework / applications from the ground up. REST APIs and general API design. Experience with the agile development methodology.

Experience delivering and owning web-scale data systems in production.

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