Job Description
You will contribute to the design and development of scalable and highly available data platform systems, working closely with senior engineers and SRE teams. You would solve deep problems around performance, scalability for data systems. You would help scaling and operationalizing data systems working closely with SRE teams. You would be building these platforms and systems that will be used by other product engineering teams.
Qualifications
- Bachelor s or Master s degree in computer science
- 10+ years of hands-on software(backend) development experience - most of which should be in the data platform space involving distributed systems
- Deep exposure to Streaming Technologies like Flink, Spark Streaming, Kafka Streams etc
- Deep exposure to Big Data Technologies like Hadoop, Spark, Kafka
- Deep exposure to OLAP stores like Pinot, Druid, Clickhouse
- Must have worked with open source technologies in the data platform space
- Familiarity with document datastores such as MongoDB
- Exposure to scaling and operating production data systems at 10K+ QPS
- Deep exposure to JVM based languages like Java, Scala, Kotlin
- Preferred - open-source contributions to major apache projects in the data space(e.g. Apache Spark or Kafka)
Work Location
- Bangalore. The successful candidate will be expected to be in the Bangalore office 3x/ week.
More Info
About Company
Harness is a rapidly growing startup that is disrupting the software delivery market. The Harness Software Delivery Platform includes product modules for every aspect of software delivery, including: Continuous Integration, Continuous Delivery, Feature Flags, Cloud Cost Management, Service Reliability Management, Security Testing Orchestration, Chaos Engineering, Software Engineering Insights, Continuous Error Tracking, Code Repository, Internal Developer Portal, Software Supply Chain Assurance, Infrastructure as Code Management and AI/ML infused throughout with AI Development Assistant (AIDA). The platform is designed to help companies accelerate their cloud initiatives as well as their adoption of containers and orchestration tools like Kubernetes and Amazon ECS and make software delivery easier, giving devs their nights and weekends back.
