Senior Full-Stack Engineer for AI-First Platform

Box Com; Województwo mazowieckie; On-site; PLN 180,000 - 260,000; Full time

Benefits offered by this job

3 days on-site per week

Job summary

Box is seeking a Senior Software Engineer to join our Metadata Platform team. You will lead design and implementation of core platform components, collaborating with partner teams and domain architects on system design and service integration.

You will build scalable services with a focus on reliability, observability, and efficiency, using technologies like Kubernetes, Docker, BigTable, Elasticsearch, Spark, and Istio.

Qualifications

• 3+ years of professional software development experience.
• Fluent in JavaScript/TypeScript with React or Vue.
• Strong HTML/CSS knowledge with responsive UIs and accessibility basics.
• Backend experience with Node.js is required; proficiency is a plus.
• Understanding of scalability and observability practices.
• Ability to design, build, and deploy high-quality software.

Responsibilities

• Lead design and implementation for new platform components from the ground up.
• Collaborate with partner teams and domain architects on system design and services integration.
• Design and implement scalable services with focus on reliability, observability, operability and efficiency.
• Work with Kubernetes, Docker, BigTable, Elasticsearch, Spark, Istio.
• Help define vision and roadmaps for features.
• Mentor engineers and contribute to team growth and culture.

Skills

JavaScript/TypeScript

React or Vue

HTML/CSS

Node.js

Mentoring

Observability

English proficiency

Tools

Kubernetes

Docker

BigTable

Elasticsearch

Spark

Istio

Jira

Confluence

GitHub Enterprise

GIT

Job description

Box is seeking a Senior Software Engineer to join our Metadata Platform team. You will lead design and implementation of core platform components, collaborating with partner teams and domain architects on system design and service integration.

You will build scalable services with a focus on reliability, observability, and efficiency, using technologies like Kubernetes, Docker, BigTable, Elasticsearch, Spark, and Istio.