Web Application Testing (regular)
Mobile App Testing (regular)
We are looking for Automation Engineer (JS) to join our Localize team.
What Localize does?
Localize makes the home buying process simpler for everyone. Our technology empowers agents to meaningfully engage with each of their leads while creating transparency and trust for homebuyers.
Established in Tel Aviv and expanded to NYC, Localize has raised $70M and is pushing boundaries and outperforming expectations.
Come work for the future of real estate!
About Localize product
Why is the biggest personal financial decision buying a home - made with such incomplete information?
For buyers, our mission is to democratize data and streamline the house-hunting journey to find them a dream home they’ll love long after moving day.
Our marketplace listings are so rich with useful data that we make our competitors look poor!
For agents, Localize is a lead conversion solution. We replace key parts of the value chain that are currently done manually with AI-driven, cloud-based services that nurture raw leads into qualified buyers, so agents never lose another deal.
Our leadership team includes serial entrepreneurs experienced in building products and services on a global scale. Across oceans and time zones, Localize is revolutionizing homebuying through transparency and trust to benefit buyers and agents alike.
Our tech stack
Localize is a pure SaaS company running on top of AWS. We use a state-of-the-art technology stack based on microservices.
Coding is in Typescript on top of NodeJS and communication between services is done using GRPC / Protobuf and event streaming over Kafka.
The Front End is React -TypeScript and our mobile app is based on React Native. We use GraphQL for FE
BE communication. In the data layer we use both SQL (RDS PostgreSQL & Redshift) and NoSQL (MongoDB, Elasticsearch) and Redis for caching.
Our services are containerized in Docker, and we deploy them using K8 Helm & Skaffold. We use Terraform for building infra as a code on top of AWS.
The code is maintained in Github and we use agile methodologies, including CI / CD (CircleCI) and frequent deployments to production.
We monitor the system using Prometheus and ELK and other advanced tools.
Workflow management orchestration for our data pipelines is done using AirFlow. And we heavily use machine learning and AI to generate insights and optimize the user experience and flows.
Desirable experience, skills, and knowledge
Necessary soft skills :