DevOps Engineer
- Published on
About the Role
DataPattern is looking for a DevOps Engineer with a solid background in building large scalable and reliable enterprise technology platforms. The ideal candidate has a computer science graduate or undergraduate degree or equivalent experience with 4+ years in Big Data open source technologies like Hadoop, HBase, Spark, Kafka, and Elastic Search/Solr.
Responsibilities
- At least 2 years experience in large scale, production, server-side development on the JVM, Scala, Python and/or GO.
- Experience with building RESTful APIs is a plus.
- Experience with building real-time applications is a plus.
- Hands-on experience with engineering developer tools- GIT, Dockerization, Continuous Integration frameworks, etc.
- A passion for software engineering and for developing robust, scalable software systems.
- Public Cloud (GCP) working knowledge is a plus.
- Hands-on experience in DevOps practices – significant advantage.
About the Candidate
- Bachelor's degree in Computer Science or related field (Preferred).
- 4 years experience with Hadoop, HBase, Spark, Kafka & Elastic Search/Solr (Preferred).
- 2 years experience with JVM, Scala, Python, GO (Preferred).
- 1 year experience working with RESTful APIs and building real-time applications (Preferred).
- 1 year experience with GIT, Dockerization, Continuous Integration frameworks, etc. (Preferred).
- 1 year public cloud (GCP) working knowledge (Preferred).
About the Company
DataPattern is committed to leveraging advanced technologies to build reliable and scalable enterprise solutions tailored to their clients' needs.
Company Culture and Benefits
Due to the COVID-19 pandemic, this position allows for remote work temporarily. The company values innovation, collaboration, and a passion for continuous improvement within their engineering teams. Candidates will have an opportunity to grow their skills in a supportive environment.