Database Reliability Engineer

Job description / Role

Description

Salla is seeking an experienced Database Reliability Engineer (DBRE) to own the health and performance of our hybrid cloud database infrastructure. We operate a large-scale online marketplace that relies on multiple OLTP data stores such as MySQL, PostgreSQL, MongoDB, and Redis. The successful candidate must have at least 8 years of experience managing high-availability relational and NoSQL databases and will combine hands-on operations skills with architectural insight and scripting expertise. This is an individual contributor role that requires an advanced understanding of SQL, backup and disaster recovery, replication, database auditing, performance tuning, Kubernetes/Docker orchestration, and observability with Grafana/Prometheus.

Responsibilities

• Build database systems of high availability and quality depending on each end user's specialised role
• Design and implement database in accordance to end users information needs and views
• Define users and enable data distribution to the right user, in appropriate format and in a timely manner
• Use high-speed transaction recovery techniques and backup data
• Minimise database downtime and manage parameters to provide fast query responses
• Provide proactive and reactive data management support and training to users
• Determine, enforce and document database policies, procedures and standards
• Perform tests and evaluations regularly to ensure data security, privacy and integrity
• Monitor database performance, implement changes and apply new patches and versions when required
• Soft skills: Strong problem-solving ability, communication and collaboration skills, and the capacity to operate autonomously and lead incident calls with clarity.

Preferred qualifications

• Data modeling and architecture. Experience designing relational schemas, normalizing data models and planning sharding or partitioning strategies for high-volume OLTP systems.
• Advanced security and compliance. Familiarity with encryption at rest/in transit, role-based access control, auditing frameworks and compliance standards (ISO, SOC, PCI, etc.).
• Elasticache/Redis expertise. Knowledge of AWS ElastiCache/Redis or similar caching systems to optimize performance and reduce database load.
• CI/CD and DevOps. Experience integrating database changes into CI/CD pipelines and using version control systems (Git) to manage schema migrations.
• Hybrid/remote environment. Comfortable working in a hybrid model and collaborating across time zones; able to join on-site meetings as needed.

Requirements

• 8+ years of hands-on experience managing production relational databases (preferably MySQL and PostgreSQL) and NoSQL databases such as MongoDB and Redis in OLTP environments.
• Proven working experience as a Database Administrator
• Hands-on experience with database standards and end user applications
• Excellent knowledge of data backup, recovery, security, integrity and SQL
• Previous experience with database design, documentation and coding
• Previous experience with DBA case tools (frontend/backend) and third party tools
• Familiarity with programming languages API
• Problem solving skills and ability to think algorithmically
• Experience administering AWS Aurora or comparable cloud-based relational database clusters is essential.
• Expert-level understanding of SQL, query optimization, indexing and execution plan analysis.
• High-availability and DR expertise: Demonstrated experience implementing replication, failover and disaster recovery strategies, along with backup/restore procedures that meet strict availability requirements.
• Scripting and automation skills: Proficiency in scripting languages (Python, Bash, etc.) and automation tools (Terraform, Ansible) to automate database operations.
• Containerization and orchestration: Hands-on experience deploying and managing databases on Docker and orchestrating them with Kubernetes, including StatefulSets, persistent volumes, and operators.
• Monitoring stack: Familiarity with observability tools such as Prometheus, Grafana and logging/alerting frameworks to build metrics dashboards and manage alerts.
• Cloud infrastructure: Experience with AWS services (Aurora, RDS, EC2, EKS, IAM) and knowledge of virtualization, storage performance and networking.