Senior Software Engineer - Cloud Fullstack

Rivian and VW Group Technology•Palo Alto, CA

2d•Hybrid

About The Position

The Internet of Things (IoT) and Streaming Team is seeking passionate and skilled several Senior Software Engineers to support our Cloud Gateway Platform to build a massively scalable and robust IoT Platform that deals with the ingress and egress of data to and from our vehicles. These newly created Software Engineer openings will support High throughput telemetry acquisition systems, handling streaming and batch data, data model registry and fleet orchestration for push updates. These Engineers will help build the future of how vehicles will operate and communicate with the Cloud. This team will create the electric architecture and software for next generation Software Defined Vehicles (SDVs). This new R | V Tech Employee will thrive in designing, developing, and maintaining high-performance, low-latency, robust, scalable, and reliable distributed systems. This position will play a pivotal role in shaping the backbone of R | V Tech’s technology infrastructure, collaborating with cross-functional teams, and tackling complex technical challenges.

Requirements

Ability to work from R | V Tech’s Yaletown Office in Vancouver at least three days per week is required for this role.
Ability to work from home two days a week is supported as well.
Participation in a rotating on-call schedule, including occasional weekends, late nights, and holidays, to resolve critical production issues is also required.
At least a Bachelor’s Degree is required for this role.
At least 2 years of experience is also needed for this role.
Strong foundation in Software Engineering principles and Distributed systems design
Proficiency in Go (GoLang) Programming, and Python, with demonstrated experience building production-grade applications.
Proficiency with Typescript, React Native or other Javascript frameworks to build responsive UI applications for micro-frontend, multi-platform architectures
Familiarity with GQL, testing (Jest, Vite), automated testing (Cypress, Playwright), module federation, NX (monorepo framework) is preferred
Good understanding with multi-tier secure and scalable web patterns using REST, WSS, OWASP Top 10 are preferable
Experience with cloud platforms, preferably AWS, and familiarity with cloud-native patterns
Expertise in event-driven architecture and working with message brokers such as Kafka.
Knowledge of Redis for caching, session storage, or distributed data structures
Understanding of data stores such as Amazon DynamoDB, Amazon Relational Database Service (RDS), Amazon DocumentDB, and/or MongoDB is preferable
Solid understanding of systems debugging, production, and monitoring tools such as Datadog and Amazon CloudWatch.
Experience with unit testing, system testing, and performance testing
Experience building cost effective and efficient designs in your technology choices
Strong knowledge of Git for version control and collaboration
Ability to self-manage and drive projects to completion while working independently

Nice To Haves

Masters in Computer Science, Engineering, or a related field is strongly preferred, but not required.
Familiarity with communications protocols like websocket and GRPC is highly preferred.
Familiarity with CI/CD tools like Jenkins and GitLab CI/CD is also preferred.
Familiarity with Cloud infrastructure provisioning tools like Terraform, Terragrunt, Crossplane, Argo CD.
Knowledge of containerization and orchestration tools such as Docker and Kubernetes.
Experience with building high-performance and low-latency systems in large-scale environments.

Responsibilities

Design, develop, and deploy distributed systems and full-stack applications for R | V Tech's Cloud Gateway Platform with a focus on scalability, reliability, and performance.
Work with event-driven architectures, leveraging technologies like Kafka and Redis to build efficient and fault-tolerant systems.
Some proficiency in building UI applications using React JS or similar frameworks
Collaborate with cross-functional teams to understand system requirements and translate them into scalable technical solutions.
Write high-quality, maintainable code and ensure robust test coverage.
Implement, monitor, and debug applications, ensuring high availability and low latency.
Develop, deploy, and maintain solutions on cloud platforms, particularly AWS.
Manage and optimize message brokers and implement streaming and queuing solutions as required.
Proactively identify and address performance bottlenecks, scalability challenges, and production issues.
Participate in an on-call rotation, addressing production issues during off-hours as necessary.
Maintain comprehensive documentation for systems, processes, and tools.
Continuously improve CI/CD pipelines, monitoring, and alerting systems.