Sr. Engineer - Elastic Search

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What we offer:

Group Summary:

•    Design and scale Elasticsearch clusters for ADAS data (camera/radar/lidar logs, events, metadata).
•    Build robust indexing pipelines for high volume vehicle telemetry and perception outputs.
•    Optimize search queries, mappings, analyzers, sharding, and storage for low-latency retrieval.
•    Develop data ingestion flows using Logstash, Beats, Kafka, Spark, or custom ETL pipelines.
•    Implement monitoring, alerting, and performance dashboards (Kibana/Grafana).
•    Ensure reliability, HA/DR, and security compliance across clusters.
•    Collaborate with ML, data engineering, and ADAS perception teams on data discovery and retrieval needs.
•    Partner with System Verification, Perception/ML, and Tools teams to capture search use cases and define query SLAs.
•    Support data consumers with dashboards, saved searches, alerts, and APIs; evangelize best practices.
•    Mentor engineers on schema design, ES DSL, and performance tuning.

Awareness, Unity, Empowerment:

At Magna, we believe that a diverse workforce is critical to our success. That’s why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email or traditional mail to comply with GDPR requirements and your local Data Privacy Law.

AI-Assisted Screening Disclosure

As part of our commitment to a fair, consistent, and efficient recruitment process, we may use artificial intelligence (AI) tools to assist in the initial screening of applications submitted through our Workday system. These tools help identify qualifications and experience that align with the role requirements. Please note that AI is used solely to support our recruiters. Final decisions are always made by the hiring manager and the hiring team. Importantly, no applicant data is shared externally through these AI tools. All information remains securely within our systems and is handled in accordance with our privacy and data protection policies.

Under conditions defined by applicable law, you may have the right to request an explanation of how AI is used to support decision-making.

If you have any questions or concerns about this process, feel free to contact our Talent Attraction team.