Senior Software Engineer - Platform & Infrastructure (f/m/d)

The product you will work on

The HOLOPLOT Matrix Array is a new type of sound system built around precise, software-defined control of sound in three dimensions - grounded in physics and implemented through a combination of custom hardware and purpose-built software. HOLOPLOT deployed Matrix Arrays in various venues, including the Sphere in Las Vegas - the world’s most advanced entertainment venue and, notably, home to the world’s largest audio installation in entertainment.

Audio processing in HOLOPLOT systems is distributed: every loudspeaker runs embedded Linux, and hundreds of them have to be configured, coordinated, monitored, and updated as one system. This is enabled by multiple open source and in-house developed services running on an on-premises Kubernetes cluster. AWS-hosted services connect venues to remote monitoring, telemetry, and configuration. Many venues are air-gapped or only intermittently connected for remote servicing, and that constraint shapes most of the design decisions in the platform.

What you need to succeed in this role

• Several years of professional software engineering experience, most of it spent designing and shipping production systems.
• Fluency in software engineering as a craft: concurrency, error handling, testing, and designing APIs that other teams build on.
• Working knowledge of the Kubernetes control plane and the operator/controller pattern, including how clusters behave when they are unhealthy.
• Hands-on experience with AWS, and a firm belief in infrastructure as code. Terraform and Ansible are what we use today.
• Comfort across several languages, and the ability to pick up a new one when the problem calls for it. Our platform work is mostly Go and Python, with Rust and C++ elsewhere in the stack.
• Experience building distributed systems, and a clear understanding of how they fail: partitions, partial rollouts, clock skew, retries, and reconciliation.
• A good sense for software architecture and maintainability, and the habit of writing code that colleagues can pick up and change.
• A strong command of Linux, scripting, and automation.
• Experience instrumenting software for telemetry and using it to answer real questions about running systems.
• Good judgment about what to automate and what to leave alone.
• Strong communication skills in English. You can explain a design or a failure clearly to engineers, product stakeholders, and non-specialists.
• Willingness to take part in compensated on-call and weekend work when installations need it.
• A can-do mentality, an eye for detail, and the courage to take on problems outside your comfort zone.
• Experience in using AI for engineering.