Senior Software Engineer (m/w/d)

Farkas Kiss Endre legjobb állása Red Bull

Bewerbung fur Senior Software Engineer (m/w/d)

Levél szövege

Lieber Red Bull!

Ich möchte mich bei Ihrem Unternehmen als Senior Software Engineer (m/w/d) bewerben. 
Ich bin ein Fullstack-Entwickler, bei dem ich meine 10-jährige Erfahrung mit verschiedenen Technologien einsetzen kann.

Ich habe meinen Lebenslauf an diese E-Mail angehängt.

Wir freuen uns darauf, von Ihnen zu hören!


Endre Farkas Kiss "Sodika"
Java and PHP Fullstack Developer, Nudist, Vlogger

https://www.linkedin.com/in/farkas-kiss-63bb9210a
https://sodika.org

Álláshirdetés szövege

Bachelor / Master degree in Computer Science, Software Engineering or technical college (HTL)
Fluent in English
Permanent, Full-time
Do you enjoy working in a small interdisciplinary team on a data-heavy and cloud native data intelligence platform? We at TV-Insight are a small spin-off within Red Bull working on a real-time viewership prediction product for TV broadcasters.
As a backend software engineer you will be challenged to design, implement, and operate microservices that process terabytes of datapoints to derive viewership predictions and viewership insight for large TV broadcasters. You will work closely with frontend engineers, data scientists and other backend engineers to effectively deliver novel features end-to-end. You will be uniquely positioned to play an integral role in taking this small start-up to the next stage by implementing features for expanding into new markets or by shipping features that disrupt the status quo of TV research.
Areas that play to your strengths
All the responsibilities we'll trust you with:
SOFTWARE ENGINEERING
You will play a leading role in designing and implementing of various microservices for either data ingestions or data retrieval. Services related to data ingestion are responsible for receiving, cleaning, and pre-processing vast amounts of data before entering our data-lake (BigQuery). In contrast, our data retrieval services need to be designed to efficiently query our data-lake for answering end-users’ data-analytics tasks.
As our product is integrated directly into our customers’ most critical infrastructure, you will be challenged to design services that meet the highest availability and scalability standards.
QUERY DESIGN AND ARCHITECTURE
Many of our backend services need to effectively scan through gigabytes of data in a matter of seconds before presenting actionable insights to our end-users. You will become an integral part in our team for designing and optimizing these data-retrieval tasks. You will decide on the right level of pre-processing required to strike the right balance between query performance and technical debt / operational complexity. In addition to optimizing queries yourself you will also guide and train other engineers in designing highly efficient data processing components.
BEING PART OF AN AGILE TEAM
You will work in a small but constantly growing team of both junior and senior engineers. Together with the team you will look for ways to improve team effectiveness and maturity of the engineering organization. You will be asked to participate in code reviews and estimation meetings. Ideally, you will coordinate and help prioritize engineering tasks with other engineer and become a valuable source for design decisions and participate in tackling challenging tasks.
CONTINUOUS INNOVATION
We continuously iterate on the service we built to offer additional features, increase robustness or improve performance. You will continuously scout for new industry trends, cloud or SAAS services which could help improving our products. In addition, you will evaluate the potential of new solutions and implement small POCs to validate the expected potential.
Your areas of knowledge and expertise
Bachelor / Master degree in Computer Science, Software Engineering or technical college (HTL)
5 years’ experience as a software engineer working on data heavy products
Proficient in a JVM based language (especially Kotlin or Java) and corresponding application frameworks (Micronaut, KTOR, etc.)
Strong knowledge of data processing frameworks / tools (e.g. BigQuery, Redshift, Spark) and/or strong knowledge in designing of complex SQL queries
Experience working in an Agile team with continues delivery practices
Experience with running critical production workload on major cloud providers (esp. Google Cloud)
Experience with Kubernetes is a plus
Experience with stream processing framework is a plus (e.g. Apache Flink, Kafka Streams, etc.)