Software Engineer II – Streaming

Rivian and Volkswagen Group Technologies

Software Engineer II building low-latency streaming infrastructure for Rivian and Volkswagen’s electric-vehicle platforms. Developing Kafka/Flink services powering telemetry, analytics, AI/ML, and connected services.

Posted 8/10/2026full-timePalo Alto • California • 🇺🇸 United StatesMid-LevelSenior💰 $105,100 - $131,400 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and maintaining scalable real-time streaming services, with a strong focus on Apache Flink and Kafka technologies. Proficient in developing cloud-native applications and optimizing streaming infrastructure for performance and operational efficiency.

Highest-signal resume keywords

Apache Flink Application DevelopmentApache Kafka or Redpanda OperationsCloud-Native Application DevelopmentReal-Time Streaming SystemsKubernetes and Docker Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

JavaScalaPythonGoEvent-Driven ArchitectureDistributed SystemsData StructuresAlgorithmsSystem DesignPerformance Optimization

Soft Skills

Strong CommunicationCollaboration Skills

Tools & Technologies

AWSAzureGCPDockerKubernetesCI/CD PipelinesTerraformPrometheusGrafanaOpenTelemetry

Industry Keywords

Real-Time Data SolutionsStreaming InfrastructureMachine LearningAI ApplicationsObservabilityIncident ResponseOperational Excellence

Tech Stack

Tools & technologies

ApacheAWSAzureCloudDistributed SystemsDockerGoGoogle Cloud PlatformGrafanaGRPCJavaKafkaKubernetesPrometheusPythonScalaSparkTerraform

About the role

Key responsibilities & impact

Build and maintain scalable real-time streaming services ingesting, processing, transforming, and delivering vehicle, cloud, and operational data
Design, develop, and operate Apache Flink applications and event-driven services using Apache Kafka or Redpanda
Build streaming infrastructure for analytics, machine learning, AI applications, and real-time operational decision-making
Design scalable event-driven architectures emphasizing throughput, low latency, resiliency, and operational simplicity
Develop production-grade streaming applications using Java, Scala, Python, or Go
Contribute to topic design, partitioning, checkpointing, savepoints, dead letter queues, replay strategies, and failure recovery
Optimize streaming applications for latency, throughput, resource utilization, and operational cost
Develop reusable platform components, SDKs, libraries, and self-service capabilities
Support deployment and operations using Kubernetes, Docker, CI/CD pipelines, and Infrastructure as Code
Build observability using metrics, logging, distributed tracing, dashboards, and alerting
Monitor and troubleshoot production streaming systems
Partner with platform, data, ML, analytics, and product teams on end-to-end real-time data solutions
Build pipelines supporting AI/ML platforms, online feature engineering, RAG, and intelligent applications
Participate in production support, incident response, root cause analysis, and reliability improvements
Leverage AI-assisted software development tools to improve engineering productivity while maintaining quality and security standards

Requirements

What you’ll need

Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience
3+ years of professional software engineering experience building distributed systems and real-time streaming platforms
Hands-on experience with Apache Kafka or Redpanda, including topics, partitions, consumer groups, replication, delivery semantics, tuning, optimization, and production operations
Experience building production applications with Apache Flink, including stateful stream processing, event time processing, watermarks, windowing, checkpointing, savepoints, parallelism, backpressure, and fault recovery
Strong understanding of event-driven architectures and real-time streaming systems
Understanding of distributed systems, scalability, fault tolerance, consistency models, replication, and performance optimization
Proficiency in Java, Scala, Python, or Go
Fundamentals in data structures, algorithms, object-oriented design, and system design
Experience building cloud-native applications with Docker and Kubernetes
Experience with AWS, Azure, or GCP
Experience debugging production issues across distributed applications and streaming infrastructure
Familiarity with REST APIs, gRPC, or event-driven service integration
Strong communication and collaboration skills
Preferred: large-scale Kafka/Flink operations, Kafka Connect, Debezium, CDC, Avro, Protobuf, JSON Schema, Schema Registry, Iceberg, Delta Lake, ClickHouse, Pinot, Spark Structured Streaming, real-time feature engineering, OpenTelemetry, Prometheus, Grafana, Terraform, Helm, edge-to-cloud architectures, incident response, postmortems, and operational excellence

Benefits

Comp & perks

Annual company performance bonus program eligibility for full-time positions
Equity in the form of Restricted Stock Units (RSUs)
Health coverage
Retirement savings
Time off
Family planning programs
Comprehensive benefits package supporting health, wellbeing, and financial future