Mid-Senior Software Engineer/DevOps at Infrawatch
Summary
A hands-on DevOps/software engineer role owning infrastructure for a real-time cybersecurity platform processing 300k events/sec across 100+ servers. Day to day: lead the Coolify-to-Kubernetes migration, optimize high-throughput Go modules, and scale Kafka and Elasticsearch data stacks.
Job Title
Mid-Senior Software Engineer/DevOps
Salary
Not Disclosed
Company Description
Infrawatch is a $3M pre-seed London cybersecurity startup, backed by Outward VC and Triple Point Ventures, building a real-time internet infrastructure intelligence layer to detect and attribute adversary activity at scale.
Job Description
You will own the infrastructure for a platform processing 300k events per second across 100+ servers. Your primary mission involves migrating from Coolify to Kubernetes, optimizing high-throughput Go modules, and scaling databases. This is a high-impact, hands-on role where you will classify malicious infrastructure at scale alongside a senior expert team.
Location
London, UK
Why this role is remarkable
- Scale challenges: Manage a massive 300k events/sec throughput and billions of daily events across a production fleet of 100+ servers.
- Elite team: Work alongside senior engineers with pedigrees from Tier-1 cybersecurity firms like CrowdStrike, Recorded Future, and Intel 471.
- High ownership: Lead a critical migration to Kubernetes and have a direct say in the architectural evolution of a rapidly growing security platform.
What You Will Do
- Lead the strategic migration from Coolify to Kubernetes while ensuring zero-downtime and maximum reliability for our real-time infrastructure layer.
- Optimize and profile Go-based modules to increase throughput and decrease processing latency across our high-performance data pipelines.
- Manage and scale our core data stack, including high-throughput Kafka clusters and Elasticsearch instances handling tens of billions of daily events.
The ideal candidate
- Proficient in production Go and experienced with high-throughput data systems like Kafka and Elasticsearch at a significant production scale.
- Deep expertise in Kubernetes, specifically with the practical experience of leading infrastructure migrations and managing complex distributed systems.
- Startup-ready mindset: comfortable with ambiguity, eager to wear multiple hats, and possessing the UK right to work for our London office.