DevOps Engineer (SRE-focused)

Qureos Mid-Level

About Qureos
Qureos is redefining how companies hire with AI. Backed by leading investors including Prosus Ventures and COTU Ventures Qureos recently raised a $5M Seed round to accelerate the future of hiring.
Trusted by 1000 enterprise and public sector organizations Qureos helps companies compress hiring timelines from months to as little as six days through AI-powered sourcing screening and interviewing. Our platform distributes jobs across 2000 global channels screens candidates in under 15 seconds and automates recruitment workflows at scale turning hiring from an operational bottleneck into a competitive advantage.

Were building the infrastructure layer for modern hiring: an AI-native platform that enables organizations to hire faster smarter and more efficiently at scale. This is a chance to join a category-defining company at a high-growth stage and help shape the future of hiring globally.

The Product Youll Be Keeping Alive
Every one of those screen a candidate in 15 seconds and six-day time-to-hire numbers is a production promise. Youll own the infrastructure behind our AI sourcing screening and interviewing engine and the pipelines that distribute jobs across 2000 channels the systems our 1000 customers depend on to actually hire people not just browse a dashboard.

The Role

Why: As we scale globally reliability becomes the product. Youll design and run the infrastructure behind Qureos and just as importantly keep it healthy in production catching problems before customers do and owning the response when something breaks.

What youll do:

• Design deploy and manage our cloud infrastructure on GCP including container orchestration with Docker/Kubernetes
• Build and maintain CI/CD pipelines (GitHub Cloud Run) that get code out safely and fast
• Set up monitoring logging and alerting (Elasticsearch Kibana Prometheus New Relic) so degradations get caught before customers feel them
• Define and own SLOs/SLIs and error budgets for critical services
• Lead incident response end-to-end triage form and test a hypothesis mitigate resolve and act as incident commander on major incidents
• Run blameless postmortems and drive corrective actions to closure
• Administer and optimize MongoDB including backup and disaster recovery
• Automate infrastructure provisioning and reduce toil through scripting (Python/Bash) and IaC (Terraform/Ansible)
• Participate in on-call and work closely with development QA and engineering teams on production-related issues

Who we need:

• Mid-level DevOps/SRE experience with real production ownership not just build-out
• Hands-on with GCP (Compute Engine Cloud Storage Cloud Run GKE) Docker and Kubernetes
• Comfortable with MongoDB administration and optimization
• Sound debugging methodology: observe form a hypothesis confirm with data before acting and reason about how components fail together
• Working knowledge of IaC (Terraform/Ansible) and CI/CD tooling (GitHub Actions/CircleCI)
• Can speak concretely about incidents youve owned impact duration and what changed afterward
• Strong ownership and a blameless collaborative posture under pressure

Nice to have: experience with AWS or Azure Agile/Scrum familiarity relevant certifications (Docker GCP etc.)