technologies-expected :

about-project :

We are hiring on behalf of our client, a global innovator in fitness and wellness technology. Their mission is to empower people to live fit, strong, long, and happy lives by delivering integrated experiences to millions of members anytime, anywhere
As a Database Reliability Engineer, you will join the Platform team, responsible for designing and operating a highly available, secure, and performant data persistence layer used by application services across the organization. Guided by three core principles — protect the data, optimize for scale and reliability, and eliminate toil — the team partners closely with service owners to enable autonomous, self-sufficient engineering teams.
In this role, you will work on data protection, automation, observability, and performance optimization across a broad range of datastore technologies, helping the organization scale globally while maintaining exceptional reliability.
Stack: PostgreSQL, AWS Aurora, DynamoDB, OpenSearch (Elasticsearch), ElastiCache / Redis (Valkey), Memcached

responsibilities :

Maintain, operate, and scale production datastores and databases in collaboration with service owners
Ensure high availability, low latency, and reliability of the data persistence layer supporting critical services
Support global, multi-regional data strategies to enable international scale
Design and implement automation for datastore provisioning using Infrastructure as Code
Reduce operational toil by enabling self-service database provisioning through internal platforms and tooling
Improve autoscaling strategies to handle traffic spikes during large-scale events
Build and enhance observability around databases, including metrics, alerts, and query-level insights
Support teams with SQL query optimization and performance tuning
Enable autonomous teams to manage and optimize their own datastores through actionable insights
Develop internal tooling that improves the “databases as a service” experience
Partner closely with application and platform engineers to understand needs and remove friction
Promote best practices around data protection, modeling, and system design

requirements-expected :

2–3+ years of hands-on experience running PostgreSQL in production cloud environments (preferably AWS)
Exposure to managed datastores such as DynamoDB, Elasticache, Memcache, or graph databases
Experience designing and maintaining automation around infrastructure provisioning (Terraform preferred)
Strong understanding of both structured and unstructured database technologies
Experience with data modelling and backend system design
Pragmatic engineering mindset with a strong focus on reliability, security, and quality
Self-motivated and passionate about building stable, secure systems
Systematic problem-solver with strong communication and collaboration skills
Comfortable partnering with multiple teams and driving shared ownership

offered :

benefits :

about-project :