Job Summary: As Backend Engineer in Brandwatch, you will be working with the latest LTS versions of Java and Spring. You will work with the most influential social networks in the world. Consume and store data from their APIs at scale. You will create rest APIs which expose social media KPIs to our customers. You will design and work with a scalable microservice architecture.
What you will do:
- Define accurate domain models.
- Develop quality microservice solutions with cutting edge technologies together with dedicated team members to help fulfil our different business goals.
- Store data efficiently in a matching storage engine.
- Build highly parallel data processing pipelines, and fluent APIs.
- Help design, implement, and improve our services while helping us adopt best practices.
- Write elegant, testable, well documented code.
- Be mindful of the business - by communicating with your colleagues and management, help us ensure that we are building the right thing at the right time.
What you have:
- Minimum 3 years hands-on experience on a production system as developer.
- Good knowledge of Java, we are using Java 21.
- Good knowledge of Spring.
- Experience with relational (e.g. PostgreSQL, MySQL).
- Experience with redis is a plus, but not mandatory.
- Good knowledge of RESTful APIs, their design and implementation.
- Experience with messaging technologies, Kafka is a plus;
- Experience with building and/or running large-scale applications on a PaaS/SaaS cloud is a plus.
- Knowledge of Docker and Kubernetes is a plus.
- English language fluency
Top Skills
What We Do
Brandwatch is the world’s leading digital consumer intelligence company, allowing users to analyze and utilize conversations from across the web and social media.
It is the perfect platform to make sense of your consumers, their needs, wants, and interests.
With official access to Twitter, Reddit, and Tumblr's firehose, plus data coming from 100 million other sites, our historical archive includes over a trillion conversations, with 501 million new ones added every day.
Our platform then combines queries and AI to help you parse and analyze the data that's useful to you. From there it can be chopped, sliced, and combined to find insights you can put into action.