About Us:
Rivian is on a mission to keep the world adventurous forever. This goes for the emissions-free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract.
As a company, we constantly challenge what's possible, never simply accepting what has always been done. We reframe old problems, seek new solutions and operate comfortably in areas that are unknown. Our backgrounds are diverse, but our team shares a love of the outdoors and a desire to protect it for future generations.
Responsibilities:
Data Querying at Scale: Spearhead complex initiatives, such as designing and building a unified search backend capable of executing low-latency queries across petabytes of historical drive and sensor data.
System Architecture: Collaborate on the technical design of scalable, event-driven services on AWS. Help drive decisions on API design, synchronous vs. asynchronous processing, consistency models, and service boundaries for the broader platform.
Data Pipeline Engineering: Develop high-volume data ingestion pipelines using Go (Golang) and Python. Leverage technologies such as AWS Lambda, SQS/SNS, or Kafka to process telematics and sensor data efficiently.
Performance Optimization: Profile and optimize backend services for high throughput. Tackle concurrency challenges to ensure efficient resource utilization when processing MCAP files.
Operational Excellence: Champion a DevOps culture. Define SLOs, implement comprehensive observability (metrics, distributed tracing, logging), and utilize Infrastructure as Code (Terraform) to ensure reproducible environments.
Technical Leadership: Act as a technical multiplier and mentor. You will help set code review standards, guide mid-level engineers, and contribute to the technical roadmap of the data organization.
Cross-Functional Collaboration: Partner with peers to design efficient APIs, and work with Embedded/ML teams to understand evolving data formats and requirements.
Qualifications:
Experience: Bachelor's or Master's in Computer Science or related field, with 8+ years of industry experience building distributed systems.
Backend Mastery: Expert-level proficiency in Go (Golang) and/or Python. You know the standard libraries inside out and understand memory management and concurrency patterns.
AWS Cloud Expertise: Deep architectural knowledge of the AWS ecosystem, such as Lambda, API Gateway, S3, DynamoDB, IAM, and container orchestration (EKS/ECS).
Data Engineering: Experience building ETL/ELT pipelines and working with message queues and data stores. Understanding of stream processing concepts.
Database Design: Strong understanding of database theory, including schema design, indexing strategies, and the trade-offs between SQL, NoSQL, and search-engine based solutions (e.g., Elasticsearch/OpenSearch).
C++ Proficiency: Strong ability to read and write C++. While this is primarily a backend role, the ability to interface with core ADAS libraries or wrap C++ SDKs is strongly preferred.
Company Statements:
#
MNCJobs.co.uk will not be responsible for any payment made to a third-party. All Terms of Use are applicable.