Jenkins
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Back in the dark ages of software delivery – roughly 2006 – when committing code didn't automatically deploy it to the cloud, a need arose for automated build and testing. Jenkins, initially Hudson, gallantly stepped forward, promising continuous integration nirvana. It claimed to liberate developers from the tyranny of manual builds, a noble goal indeed.
The reality, of course, involves a bewildering web of plugins, a configuration-as-code experience that frequently feels like deciphering ancient runes, and a server that perpetually threatens to consume all available memory. While alternatives like GitLab CI and CircleCI offer slicker, cloud-native experiences, Jenkins remains stubbornly popular, particularly in enterprises already steeped in its particular brand of complexity. It’s the duct tape of the DevOps world – not elegant, but surprisingly effective when wielded by someone who truly understands its quirks.
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Jobs in using Jenkins for but please no
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data engineer
Data Engineer (SSE / Staff Engineer) - Python & Spark & AWS @ n2sglobal
AU | 2025-12-23
A Senior Software Engineer / Staff Data Engineer role focuses on designing and maintaining large-scale data pipelines with expertise in Python, Spark, and AWS. The standout feature is the...
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Python, Spark, AWS, Analytics, Data Governance, Data Engineering, ETL/ELT, Data Quality, Big Data, Hadoop, Hive, Kafka, Data Streaming, Cloud Computing, S3, AWS Glue, Redshift, Athena, API, DevOps, CI/CD, Jenkins, Git, Docker, Kubernetes, Management, Agile/Scrum, Scala, Data Modelling, Cyber Security, Data Lake, DWH, AI/ML |
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