Android Engineer

• 4+ years of professional experience in Android native development.
• 4+ years Coding in Kotlin/Java
• 2+ years experience in pair programming, TDD, code reviews
• 2+ years Unit Tests, Instrumented Tests, and End to End Tests
• Ability to create clean, efficient and high-quality code
• You are familiar with multi-module apps
• You are comfortable with Clean architecture and using Coroutines (or RxJava)

Soft Skills:

• Driven by impact
• Great team player & communicator, who at the same time can also work autonomously
• Proactive and hard-working - "Get it done" attitude
• Will to over-reach objectives

• 4+ years of professional experience in Android native development.
• 4+ years Coding in Kotlin/Java
• 2+ years experience in pair programming, TDD, code reviews
• 2+ years Unit Tests, Instrumented Tests, and End to End Tests
• Ability to create clean, efficient and high-quality code
• You are familiar with multi-module apps
• You are comfortable with Clean architecture and using Coroutines (or RxJava)

Soft Skills:

• Driven by impact
• Great team player & communicator, who at the same time can also work autonomously
• Proactive and hard-working - "Get it done" attitude
• Will to over-reach objectives

• We are seeking talented Software Engineers - Android to join our mobile team and help us bring our vision to life.
• As a software engineer at our company, you will have the opportunity to make a tangible impact on the future of banking. Our team is comprised of individuals with a passion for innovation and a drive to deliver the best possible experience to our customers.
• If you are looking for a challenging and rewarding career in a fast-paced, dynamic environment, then we want you to join our team!

We are looking forward to you working on:

• Create, develop, and test new features; across the entire SDLC
• Maintain high-quality standards across all areas including code quality
• Knowledge sharing & mentor junior developers

Our technical stack:

• Our customer-facing product is an Android application;
• It communicates with a Ruby on Rails or Go-lang backend (sidekiq, rspec);
• Our ML pipeline is an API-flask (Python);
• We are hosted on AWS: we use Kubernetes, SNS, SQS, Lambdas, an RDS Aurora Mysql and PostgreSQL databases as well as DynamoDB, S3, Kinesis (data-stream, firehose);
• Prototype of a data warehouse on GCP (GCS, BigQuery, Cloud Composer);
• We run our CI/CD pipeline with GitHub Actions.