Senior Lead Database Reliability Engineer
New
J
JobgetherDatabase Engineering
Based in United StatesFull-TimeLead
SalaryCompetitive annual salary range of approximately $168,000 to $210,000 USD, depending on location, experience, skills, and qualifications.
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Job Details
- Experience
- 6+ years
- Required Skills
- PostgreSQLPythonCloud ComputingKubernetesGoTerraform
Requirements
- 6+ years of experience in Database Reliability Engineering, Database Platform Engineering, Site Reliability Engineering, or a related discipline.
- Proven experience leading complex database infrastructure initiatives in high-availability production environments.
- Deep expertise with at least one major relational database, preferably PostgreSQL.
- Operational experience supporting platforms such as MySQL, MongoDB, Redis, ScyllaDB, or Aerospike.
- Strong experience operating stateful workloads on Kubernetes (StatefulSets, Persistent Volumes, database operators).
- Proficiency with infrastructure automation tools like Terraform, Pulumi, FluxCD, ArgoCD, GKE, or EKS.
- Hands-on software development experience using Go, Python, or similar languages to build automation tools and infrastructure solutions.
- Strong understanding of observability, monitoring, capacity planning, and performance optimization.
- Experience using AI-assisted engineering tools such as Claude, GitHub Copilot, or Cursor.
- Excellent communication and leadership skills, including experience mentoring engineers and influencing technical strategy.
Responsibilities
- Define and execute the technical roadmap for database reliability across relational, NoSQL, and managed cloud database technologies.
- Build automation-first database platforms using infrastructure as code, Kubernetes-based solutions, GitOps workflows, and custom tooling.
- Establish and improve reliability practices through service level objectives, monitoring strategies, capacity planning, and performance optimization.
- Lead incident response efforts for critical database issues, driving root cause analysis, remediation, and continuous improvement.
- Optimize database performance and cost across cloud and hybrid environments through workload analysis, resource optimization, and tuning.
- Partner with application engineering teams to implement secure and scalable database practices, including schema and query optimization.
- Leverage AI-powered tools to enhance observability, troubleshooting, automation, and developer productivity.
- Mentor engineers, provide technical guidance, contribute to architecture decisions, and promote database reliability best practices.
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