We are looking for a Senior DevOps Engineer to join our R&D team in developing the next rising product in the health tech landscape. If you are looking for a challenging, influential position and are passionate about making an impact, this might be the role for you.
As a Senior DevOps Engineer, youll play a key role in the design, development, testing, deployment, and monitoring of our infrastructure and products. In this position, you'll make significant contributions to our observability stack, helping build and maintain robust systems for logs, metrics, traces, and alerting.
Our ideal candidate is passionate about DevOps and observability, has strong communication skills, and thrives on constant improvement for both technology and processes. If you enjoy working on multiple projects in parallel and are a proactive team player, youll fit right in.
This is a unique opportunity to join the core team of a fast-growing startup, where your contributions will have a direct impact on our product and success.
Responsibilities
Support and collaborate with cross-functional engineering teams using cutting-edge technologies.
Contribute to the design, implementation, and maintenance of monitoring, logging, and alerting systems (e.g., Prometheus, Grafana, Loki).
Secure, scale, and manage our cloud environments (AWS and GCP).
Design and implement automation solutions for both development and production.
Manage and improve our CI/CD pipelines for fast and safe delivery
Lead best practices in infrastructure, observability, configuration management, and system hardening.
Continuously assess and improve existing infrastructure in line with industry standards.
Requirements: 5+ years of experience as a DevOps Engineer or similar software engineering role.
Proven experience with Docker and Kubernetes (EKS preferred).
Hands-on experience with monitoring and observability tools, including Prometheus, Grafana, Datadog, or similar.
Expertise in Terraform for AWS infrastructure-as-code deployments.
Strong collaboration and interpersonal communication skills.
Excellent analytical thinking and problem-solving mindset.
Proficiency with relational databases.
Solid knowledge of Python and Bash scripting.
Experience with test automation - an advantage.
This position is open to all candidates.