Cloud Engineering Specialist
7 days ago
Data Quality and Observability
We're revolutionizing data governance and observability for enterprises across the globe, helping them harness the full potential of their data assets.
Our data observability platform empowers data teams to proactively manage and maintain the integrity of their systems, ensuring optimal performance and reliability.
By preventing data quality incidents, we enable our clients to concentrate on driving revenue and innovation rather than getting bogged down by day-to-day data challenges.
- We develop new features with Rust, Python, and React (TypeScript), integrating seamlessly with various Data Engineering tools through efficient connectors and APIs.
- No need to worry if these aren't already in your toolkit – we're passionate about supporting talented engineers to master our stack.
- If you like seeing your code in action, you'll love it here. We deploy to production regularly, so the impact of your work is seen right away.
- Manage Decube's AWS infrastructure and production Kubernetes clusters to ensure smooth operations.
- Automate infrastructure provisioning and management using Terraform and Infrastructure as Code (IaC).
- Enhance monitoring, logging, and observability across Decube's infrastructure and applications.
- Improve developer experience by refining CI/CD pipelines and deployment processes.
- Produce and maintain technical and architectural documentation for Decube's infrastructure and best practices.
- Troubleshoot and resolve production issues efficiently to minimize downtime.
- Experience with Kubernetes and Docker for container orchestration and management.
- Familiarity with cloud platforms, preferably AWS.
- Hands-on experience with Terraform and Infrastructure as Code (IaC) development.
- Proficiency in at least one programming language, preferably Python, Ruby, or Go.
- Knowledge of observability tools, preferably Prometheus and Grafana.
- Strong problem-solving skills with an automation-first mindset.
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