Database Engineer (search SRE)

Database Engineer (Search SRE)

Hyderabad, Telangana, India

Software and Services

The people here at Apple don't just build products — they build the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that encourages the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it. Imagine what you could do here. At Apple, extraordinary ideas have a way of becoming industry leading products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish!

Description

We are the Search Engineering Team, responsible for design, configuration and maintenance of fleet of various Search datastore under Data Services. We are engaged in interacting with application team to understand their requirements and suggesting optimal database solution to them. The Search datastores are deployed across baremetal, AWS and Kubernetes. We, Apple's Information Systems and Technology (IS&T) division, are based primarily in Sunnyvale, California with teams in Austin (TX), Seattle, Bangalore and Hyderabad India - working as a single team. This position requires an individual who likes large scale challenges and innovate on complex tasks. Who has the ability to think out of the box creatively to come up with different technology solutions or architectures to meet business requirement. Please have your resume highlighting the value you bring in terms of performance, efficiency, business challenges solved, money saved etc. This role requires ability to work independently on live production performance issues working with multiple teams. The job is located in Hyderabad, India.

Minimum Qualifications

Strong hands-on experience in Elasticsearch/Opensearch; Expertise in Collection Sharding/replication, failover, fault tolerance, high availability; Expertise in configuring Elasticsearch/Opensearch schema and understanding in advanced schema fields; Hands on Automation using Python or Java; Deep understanding of HTTP and REST APIs.; Expertise in fine tuning search caches and cache warming and segment merging; Studying, researching and resolving difficult issues involving Opensearch, Elastic and related technologies; Good in depth understanding of the Linux in term of debugging tools and performance tuning; Should have worked on upgrading, migrating and maintaining search clusters.

Preferred Qualifications

Exposure to the internal implementations of Solr/Elastic/Lucene and understanding of Information Retrieval techniques; Good understanding of agile development and continuous integration; Design and develop search engine monitoring tools; Any Caching (Couchbase/Redis) technology; Any Queueing (Kafka/Flink) technology; Languages: Hands on Java, Python; Tools: JVM Tuning tools, OS Performance and Debugging, Kibana, Xpack; BS/MS in Computer Science or Equivalent with 8+ years of industry experience.