Cloud Engineering Manager

We are looking for a skilled Cloud Engineering Manager to drive the strategic direction of cloud infrastructure and DevOps practices within our organization.
This position requires a blend of leadership, technical expertise, and operational excellence to oversee high-performing teams and deliver scalable, reliable, and resilient systems for mission-critical applications.
Responsibilities
Oversee the design and implementation of infrastructure and product monitoring systems
Define and utilize SLI/SLO standards to strengthen reliability and system performance
Conduct root cause analysis to identify and address system inefficiencies
Facilitate postmortem analyses and drills to optimize incident response strategies
Evaluate product performance, scalability, and reliability to ensure operational excellence
Automate operational tasks to optimize workflows and improve productivity
Deploy CI/CD pipelines and champion modern DevOps practices
Manage cloud infrastructure and configuration through Infrastructure-as-Code tools
Collaborate with cross-functional teams to align cloud strategies with business goals
Support the growth of engineers through mentoring and professional development initiatives
Plan and execute staffing strategies to build a scalable and efficient engineering team
Requirements
Minimum of 7 years of experience in cloud engineering, DevOps, or SRE
Expertise in scripting languages such as Python, Go, Bash, or PowerShell
Proficiency in observability tools including Prometheus, Grafana, DataDog, and ELK
Background in cloud infrastructure management tools like Terraform and cloud-specific CLI tools (gcloud, az, aws)
Skills in configuration management tools such as Ansible
Knowledge of CI/CD platforms including Jenkins (Groovy SDK, Jenkinsfile), GitLab-CI, or Azure DevOps
Expertise in containerization technologies such as Docker and Kubernetes
Strong ability to analyze incidents and develop strategies for improvement
Capability to design scalable, cloud-native solutions in alignment with business objectives
Nice to have
Familiarity with hybrid cloud environments and multi-cloud architectures
Background in integrating machine learning workloads into cloud ecosystems
Showcase of working with observability stacks tailored for microservices architecture
Understanding of serverless cloud platforms and associated workflows