Key Responsibilities:

Architect and develop our Rust-based client for data ingestion
Design and implement core platform features:
- Data ingestion connectors
- Logs management systems
- Observability interfaces
- Error resolution tools
Drive core architecture decisions and lead deployment on customer cloud
Collaborate with teams to align technical solutions with business goals
Foster engineering excellence in the team through mentorship and best practices

Key Skills and Experience

Brings 1-2 years of experience in building complex software systems
Proven ability to solve challenging engineering problems
Demonstrates deep technical expertise in high-performance computing, observability, cloud infrastructure, data engineering, or data science
Proficient in low-level programming like Rust, C, or other technologies
Track record of taking calculated technical risks and learning from failures
Ability to leverage open-source architectures to accelerate development
Thrives in fast-paced environments while managing multiple priorities
Proven track record of shipping complex products at high velocity
Brings a strong product mindset, ensuring technical solutions align with business priorities

Bonus points

Our Tech Stack

Rust: We prioritise speed and efficiency for our core systems
Nextflow & AlphaFold
AWS + Terraform: Automated, scalable infrastructure for seamless deployment
eBPF and techniques like dynamic library rewriting, monkey patching, and runtime adjustments
P.S. Experience with our stack is valued but not required . We prioritise strong engineering fundamentals and an ability to adapt. Not sure if you meet 100% of the criteria? We encourage you to apply anyway. Curiosity and learning ability matter more than perfection.

Interview Process (subject to change)

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