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 Power.

Shell Proficiency in observability tools including Prometheus, Grafana, Data. Dog, 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