Senior Engineering Manager leading teams in developing and managing automation systems for distributed databases. Guiding engineering teams while aligning technical initiatives with business goals in a hybrid environment.
Responsibilities
Lead and mentor engineering teams responsible for platform automation, cluster lifecycle management, and monitoring systems
Own the architecture and development of Kubernetes-based operators and orchestration frameworks for distributed platforms
Drive the design and implementation of automation systems that simplify deployment, scaling, and maintenance of distributed clusters
Establish engineering best practices related to system reliability, scalability, security, and maintainability
Conduct design reviews and guide teams in building high-quality, production-ready software
Collaborate with product management, SRE, and infrastructure teams to align technical solutions with product strategy and operational goals
Build and enhance observability frameworks that provide monitoring, logging, and performance insights
Support teams in solving complex distributed system challenges and removing technical blockers
Define engineering roadmaps and track delivery against strategic goals and operational metrics
Encourage a culture of continuous improvement, technical excellence, and knowledge sharing within engineering teams
Ensure consistent collaboration across globally distributed teams and stakeholders
Contribute to architectural decisions and remain hands-on with technical guidance when necessary
Requirements
10+ years of experience in software engineering, including at least 3 years in engineering leadership or management roles
Proven experience leading teams building Kubernetes Operators, controllers, or platform automation tools
Strong programming expertise in Golang, Java, or Python
Deep understanding of Kubernetes architecture and lifecycle management of stateful workloads
Experience working with observability and monitoring tools such as Prometheus, Grafana, OpenTelemetry, or similar platforms
Solid background in distributed systems and large-scale backend platform development
Experience designing or operating cloud-native infrastructure and containerized platforms
Familiarity with infrastructure-as-code tools such as Terraform or Ansible
Strong architectural thinking and problem-solving abilities in complex distributed environments
Excellent communication and stakeholder management skills
Experience managing engineering OKRs, project delivery timelines, and cross-team coordination
Ability to collaborate effectively with global teams and cross-functional stakeholders
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