Regular DevOps Engineer w/ AWS and Python

Luxoft is one of the major software services companies world-wide. In particular, we develop high quality software in automotive industry for most famous car makers.

The software inside a vehicle was traditionally expected to be a very controlled and self-contained environment. Equipping cars with perception and machine intelligence changes a lot in the overall picture of the vehicle manufacturer. Luxoft's goal is to empower our customers, with deep domain knowledge and smart solutions, to develop cars of the future.

The project is dedicated to the development of the tools for virtual testing of ADAS systems using data-driven development approach. Tools will allow testing and validation of higher automation level cars. The target SAE automation level is 3, which means that the car will be fully responsible for driving under specific conditions (highways, specific areas, traffic jams, etc). To bring fully autonomous car to the roads and to bring the future to reality, their safety has to be proven, for this purpose the testing on private grounds or on public roads is not enough as it requires hundreds of millions of kilometers to ride, so the alternative way of testing - virtual testing and data based testing - is becoming more and more actual.

For the development of the next generation tooling for ADAS (Advanced Driver Assistance Systems) and HAD (Highly Automated Driving) functions for a major German car maker, we are looking for a talented software engineer.

Join our enthusiastic and experienced team and develop software for the vehicles of future that will be used on a daily basis by millions of drivers once the next generation of cars hits the roads starting from 2025.

Responsibilities

Utilize anonymized and aggregated data from test and customer fleets to contribute to the design, development, and operation of ADAS customer functions.

Collaborate with our customer to adapt, further develop, and operate backend solutions for ADAS customer data.

Manage and implement various aspects of the data lifecycle, including data feed, data quality checks, data preparation, data enrichment framework, and data storage.

Stay abreast of industry trends and technologies, ensuring that our solutions remain innovative and aligned with best practices.

Collaborate with cross-functional teams and stakeholders to ensure the successful integration of cloud services, with a current focus on AWS.

Skills

Must have

Strong AWS experience

Strong experience with Python and associated data science libraries

Experience with Orchestration (Apache Spark / Apache Airflow / Step function)

Experience with Container services (Docker, AWS EKS, Kubernetes/OpenShift)

Experience with Infrastructure as Code (Terraform / AWS CloudFormation)

Experience with CI/CD, git

Solid communication skills, with ability to communicate sophisticated technical concepts and align on decisions with both global and Chinese stakeholders

Bachelor or Master degree in Computer Science, Computer Engineering or other relevant degree

Nice to have

Automotive data formats (SOME/IP, non-verbose DLTs, FIBEX, etc.)

Experience with Tableau, PowerBI or other Data Visualization tools

Dashboard systems (Kibana, Grafana, ...)

Databases (SQL / NoSQL

DynamoDB / Redshift / RDS)

Other

Languages

English: B2 Upper Intermediate

Seniority

Regular