Position: Senior Scala Engineer
Company: Intellias
Category: Scala
Experience required: 3y
English level: upper

**Project Overview:**

Our client is a company that enables people, enterprises, and cities to harness the power of location. By making sense of the world through the lens of location, it empowers their customers to achieve better outcomes from helping a city manage its infrastructure or an enterprise optimize its assets to delivering drivers to their destination safely.

**Why we rock?**

Data-centric development. We build reusable components that run complex data pipelines at scale through data management, processing and distribution services and APIs.
Visualized location intelligence. The maps rendering service we are working on is one of the key Platform's client-facing features which helps businesses to make sense of location data by empowering 2D and 3D rendering capabilities of modern web browsers.
The way of working. Fresh setup, minimum to none legacy processes and technologies, a good chance to start over with a clean slate.
Best practices. Platform possesses strong background in continuous delivery approaches, automated testing, and employs the best DevOps practices to ensure the Platforms reliability at scale.
Self-fulfillment. Stand at the roots of the Platform that will redefine how society thinks about location data and boost your professional value by mastering edge data management techniques.
The Engineer we are looking for will be part of the team responsible for the strategic service that perform detection, extraction and processing of different road objects using ML algorithms in the received upstream messages coming from camera, radar, and lidar sources. It employs performant stream data processing and storage tools (Flink, Kafka) and scale across Amazon Web Services (k8s cluster).

**Responsibilities:**

Work closely with product owners and principal engineers to implement, test and continually improve scalable Scala and Java applications and services running on Kubernetes;
Take accountability for implementation and quality of software products as well as time and complexity estimation of own technical tasks;
Develop software products using Agile methods, tools, and continuous delivery process;
Participate in design reviews, code reviews, and product demos;
Collaborate with other engineering teams to resolve dependencies and deliver high-quality software on time.

**Requirements:**

4+ years of experience in software engineering with Scala/Java
Knowledge in Functional Programming (Scala, Haskell, etc.) is a must
Experience with Kubernetes and Helm
Understanding of Event-Driven Architecture (Kafka, AWS Lambda);
Ability to understand and develop low-latency, high-performance backend applications;
Experience working with CI/CD environments, understanding of Docker concepts;
Upper-intermediate level of written and spoken English, ability to articulate and communicate clearly complex topics.
Nice to have:

Experience with Streaming technologies (Kafka, Flink, Spark Streaming)
Java knowledge