Description

7+ years of SRE, DevOPs or systems engineering experience on enterprise production platforms
3+ years of consulting experience working closely with enterprise clients driving their SRE transformation journeys
Expert with modern Observability tools (Prometheus, Grafana)
Experience in the Big Data technologies(Hadoop, Spark, Hive, MapReduce, Impala, NiFi, Looker, Elastic Search)
Experience in modern Data Cloud Platforms (Snowflake, Databricks)
Experience in AWS or other Cloud Platforms.
Experience in industry standard CI/CD tools (Git, BitBucket, Jenkins, Chef, Docker, Kubernetes)
Experience architecting and implementing data governance processes and tooling (data catalogs, lineage tools, role-based access control, PII handling)
Strong coding ability in Python or other languages like Java, C#, Golang, C, C++, Perl or Ruby etc., and a solid grasp of SQL fundamentals.
Systematic problem-solving approach, coupled with strong communication skills and a sense of ownership and drive.
Ability to help debug and optimize code and automate routine tasks.
Ability to support many different stakeholders. Experience in dealing with difficult situations and making decisions with a sense of urgency is needed.
Interest in designing, analyzing and troubleshooting large-scale distributed systems.
Appetite for change and pushing the boundaries of what can be done with automation.
Experience in working across development, operations, and product teams to prioritize needs and to build relationships is a must.
Experience designing and implementing an effective and efficient CI/CD flow that gets code from dev to prod with high quality and minimal manual effort is desired.
Good Handle on Change Management and Release Management aspects of Software.
Bachelor’s degree in computer science, software engineering, or a similar field.

Education

Any graduate