[VMM] Mid-Level Full-Stack Engineer (React + Node + Java)
Software Mind Buenos Aires, Argentina
IT Services and IT Consulting · 1,001-5,000 employees
About the role
You will work on a mix of new and legacy customer portals to maintain and evolve existing platforms. You will contribute to both front-end and back-end development using the client's full technology stack.
What they look for
Requirements
The role requires a mid-level full-stack engineer with hands-on experience in React, Node.js, Java, and Spring Boot. Candidates must have at least B2 level English proficiency and experience working with legacy systems.
Full description
Company Description
We are Software Mind, an awesome team of engineers who are ready to ramp up any top-notch company’s projects! Our aim? To always be one step ahead. Become part of a multicultural company in constant growth with an excellent work environment certified by Great Place To Work!
Job Description
Project - the aim you'll have
We are currently seeking a mid-level Full-Stack Engineer to join our team and work closely with one of our clients. You will work on a mix of new and legacy customer portals, helping maintain and evolve both the current platform and the systems that came before it.
The project is 6 months
Position - how you'll contribute
- Work across a mix of new and legacy customer portals, with the legacy systems running older versions of the same core frameworks.
- Contribute to both front-end (React) and back-end (Node middleware, Java/Spring Boot) development.
- Work with the client's full tech stack: React.js, Node, Java, Spring Boot, PostgreSQL, Elasticsearch, Redis, and GCP.
Qualifications
Expectations - the experience you need
- +90% English written and oral (at least B2 level) with excellent communication skills
- Mid-level background as a Full-Stack Engineer, comfortable working across the front-end and back-end of the stack.
- Solid hands-on skills with React for front-end development.
- Working knowledge of Node.js as middleware.
- Experience in Java 21 (or earlier versions, given work on legacy platforms) and Spring Boot on the back-end.
- Comfortable working with PostgreSQL.
- Familiarity with Elasticsearch for distributed search.
- Familiarity with Redis for caching.
- Exposure to GCP (Google Cloud Platform).
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