Regular DevOps Engineer w/ AWS and Python

Luxoft; Kraków; On-site; PLN 180,000 - 240,000; Full time

Job summary

A software services company in Poland seeks a talented software engineer for the automotive sector. You'll develop innovative tools for virtual testing of Advanced Driver Assistance Systems (ADAS) to enhance vehicle automation. The ideal candidate has strong experience with AWS and Python, and will work closely with cross-functional teams. This role offers a unique opportunity to shape the future of automotive technology.

Qualifications

• Strong AWS experience is essential.
• Strong experience with Python and associated data science libraries is required.
• Experience with data orchestration tools is needed.
• Knowledge of container services is necessary.
• Familiarity with Infrastructure as Code is preferred.
• Experience with CI/CD is important.
• Solid communication skills for technical discussions are necessary.
• A relevant degree in Computer Science or Engineering is required.

Responsibilities

• Design, develop, and operate ADAS customer functions using anonymized data.
• Collaborate with customers to adapt and develop backend solutions.
• Manage and implement aspects of the data lifecycle.
• Stay updated on industry trends and technologies.
• Integrate cloud services with a focus on AWS.

Skills

AWS experience

Python

Orchestration (Apache Spark / Apache Airflow / Step function)

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

Infrastructure as Code (Terraform / AWS CloudFormation)

CI/CD, git

Solid communication skills

Education

Bachelor or Master degree in Computer Science or Computer Engineering

Tools

Tableau

PowerBI

Kibana

Grafana

Job description

Project description

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)