Mid-Senior DevOps Engineer - Cloud Infrastructure Focus
About the Role
Join our team as a Mid-Senior DevOps Engineer to work in a hybrid model in the Greater Barcelona Metropolitan Area. This DevOps Engineer remote role offers the opportunity to advocate for best practices in the software development lifecycle while taking ownership of cloud infrastructure and observability.
What You'll Do
- Collaborate closely with Backend, Frontend, QA, and Data Science teams to support their infrastructure needs and optimize deployment workflows.
- Design, deploy, and manage cloud infrastructure to ensure high availability, scalability, and cost efficiency.
- Develop and maintain CI/CD pipelines to streamline code deployment, testing, and release processes.
- Implement observability best practices and set up monitoring and alerting systems using Datadog.
- Conduct root cause analysis and postmortems for incident management.
Requirements
- 5+ years of experience in a DevOps or similar role.
- Bachelor's degree in Computer Science or equivalent practical experience.
- Proficiency with AWS services (EC2, ECS, S3, RDS, IAM, etc.).
- Strong experience with Infrastructure as Code (IaC) tools like Terraform.
- Hands-on experience with CI/CD tools (e.g., GitHub Actions, Jenkins, or GitLab CI/CD).
Nice to Have
- Experience with containerization technologies (e.g., Docker, Kubernetes).
- MLOps experience.
- Familiarity with Zero Trust solutions.
What We Offer
- 25 days of paid time off per year + all local bank holidays.
- Private health insurance.
- Hybrid working model (3 days from the office, 2 days from home per week).
- Relocation package to help you move to Barcelona.
- Top-notch equipment to enhance productivity.
This Mid-Senior DevOps Engineer role at Joppy offers an exciting opportunity to work in a hybrid model while managing cloud infrastructure. With competitive pay and relocation support, it's an attractive position for tech professionals.
Who Will Succeed Here
Proficient in AWS services such as EC2, S3, and RDS, with hands-on experience in automating infrastructure using Terraform and container orchestration with Docker.
Adaptable to hybrid work environments, showcasing strong self-management skills and the ability to effectively collaborate with cross-functional teams, including Backend, Frontend, QA, and Data Science.
Strong analytical mindset with experience in implementing CI/CD pipelines and utilizing monitoring tools like DataDog, coupled with a willingness to experiment with Machine Learning concepts for infrastructure optimization.
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