What you'll do:
Lead and inspire a team of DevOps Engineers specializing in CI/CD and automation.
Work closely with peer teams across the DevOps Department to drive alignment and collaboration.
Tackle complex technical challenges related to performance, scalability, security, and live production operations.
Partner with R&D leadership to optimize deployment strategies, enhance system reliability, and design robust failover and scaling mechanisms.
Oversee your teams architecture, design, and deliverables to ensure technical excellence and innovation.
Coach and mentor team members, fostering their growth and ensuring the achievement of team goals.
Track and report on team KPIs, providing visibility into performance and progress.
Lead POCs to address R&D DevOps needs and drive innovation initiatives within the department.
Serve as the hands-on technical authority, setting a high standard for engineering practices within your team.
Own the overall design, development, code quality, and production deployment practices for your team's solutions.
Invest in the professional and personal growth of each team member, cultivating a high-performing, engaged team.
Who you are:
BS degree in Computer Science, Computer Engineering, a related technical field, or equivalent practical experience.
5+ years of hands-on technical leadership experience in large-scale environments.
3+ years of experience managing engineering teams.
Expertise in creating Infrastructure as Code (IaC) solutions using tools like Terraform, Azure ARM templates, or CloudFormation.
Strong experience with Configuration Management tools such as Chef or Ansible.
Deep understanding of CI/CD tools, pipelines, and best practices.
Proven track record working in live production environments.
Solid experience with containerized environments and microservices using Docker and Kubernetes.
Familiarity with microservices and event-driven architectures.
Excellent scripting skills in Bash, Shell, and Python.
Advantage:
Experience with monitoring and logging tools such as ELK, Splunk, Prometheus, Grafana, or Datadog.
Knowledge of NoSQL databases.
Experience working with messaging/queueing technologies (e.g., Kafka, RabbitMQ, Azure Service Bus).
Experience with .NET Core and .NET Framework porting.
