DevOps Engineer maintaining and evolving deployment pipelines for Docebo’s AI - powered learning platform. Collaborating with cross - functional teams to ensure efficient software releases and infrastructure management.
About the role
- Lead Software Engineer in DevOps driving transformation and cloud-based solutions at Capital One. Collaborate with teams to solve complex business problems and empower financial growth.
Responsibilities
- Lead a portfolio of diverse technology projects and a team of developers
- Create solutions that help meet regulatory needs for the company
- Collaborate with digital product managers to deliver robust cloud-based solutions
- Share your passion for technology trends and mentoring others
- Utilize programming languages like Java, Python, SQL, Ruby and Go, and CI tools like Docker and Kubernetes
Requirements
- Bachelor’s degree
- At least 4 years of experience in DevOps Engineering (Internship experience does not apply)
- At least 3 years of experience in Cloud Native technologies (Amazon Web Services, Microsoft Azure, Google Cloud Platform)
- At least 4 years of Unix or Linux system administration experience
- AWS certifications for Cloud Practitioner, Solutions Architect, SysOps Administrator (preferred)
- 7+ years of DevOps Engineering experience (preferred)
- 4+ years of experience with coding and scripting (Python, SQL, Java, JavaScript, Golang, Bash, Perl or Ruby) (preferred)
- 4+ years of experience using build and deployment tools (Jenkins, Docker) (preferred)
- 2+ years of experience developing and using performance tools (e.g., New Relic, Splunk) (preferred)
- 4+ years of Kubernetes Administrator experience (preferred)
- 4+ years of experience in running multi-tenant workloads in production (preferred)
- 2+ years of experience working within Agile Development Practices (preferred)
Benefits
- Performance based incentive compensation
- Cash bonuses
- Long term incentives (LTI)
- Comprehensive health benefits
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DevOps Engineer optimizing CI/CD pipelines for Docebo, an AI - powered learning platform. Involves managing multi - tenant infrastructure using AWS, Docker, and Kubernetes.
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