Infrastructure Engineer

At Rerun, we're building a new multimodal data stack for robotics and spatial AI. Large parts of the physical-world economy will be transformed by these technologies, and we're building the data infrastructure and tools that enable it to happen. Data volumes grow big quickly with these applications and performance matters everywhere; from micro interactions to high throughput jobs.

With multimodal data stack we mean tools for extraction, ingestion, storage, querying, streaming, and visualization of temporal multimodal data. Rerun's open source project is already loved by some of the best teams in the world, and focuses on visualizing and handling multimodal logs. You'll join a newly formed team building out Rerun's commercial offering for ingesting, indexing and querying multimodal data at scale, and will be responsible for the infrastructure it runs on.

• You’ll contribute to building a Rust-based cloud-native analytical database system for multimodal (often time-series) data, with a focus on establishing and maintaining the cloud infrastructure.

  Set up production deployment environments with a focus on reliability, scalability, and observability

  Own the deployment experience from local development, to CI, staging, and production

  Design deployment solutions that range from fully managed to bring-your-own-cloud to on-premise

  Dive deep and trouble shoot at all levels from networking, to operating systems and application code

• An ownership mindset - we're all doing this together!

  A helpful attitude and a curious mind

  8+ years of experience in infrastructure engineering, site reliability, or platform engineering roles

  Deep knowledge of cloud infrastructure, particularly AWS

  Significant production experience with Kubernetes and infrastructure as code

  Proficient in designing deployment architectures tailored to diverse customer environments

  Ability to work with a Rust codebase

  Great communication skills in English - you'll be working in a tight-nit remote team

• Knowledge of data-intensive applications and their infrastructure needs

  Prior work with high-throughput, time-series, or analytical database systems

  Interest or experience in relevant domains like machine learning, robotics, AR/VR, or simulation

• We're a remote company headquartered in Stockholm, Sweden.

  We meet up in person for a week roughly once a quarter

  The team you'll join has members in European and US-east timezones

  Everyone is available for synchronous work between 1:30 and 5pm CET

  We've put together an uncommonly talented tech team, value agency and helpfulness highly, and expect everyone to take broad responsibility for what they build

  We offer competitive cash and equity compensation, six weeks paid vacation, and whatever hardware and software you need to do your job