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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.

Used together with Jenkins

Jobs (this month)

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Jobs in using Jenkins for but please no

data engineer

Sr.Resident Solutions Engineer @ ibm

JP | 2025-12-27
HashiCorp seeks a Resident Solutions Engineer to develop CI/CD pipelines, automate infrastructure, monitor system health, and ensure security compliance. Their unique advantage is guiding... read more »
Cloud Computing, Management, CI/CD, Terraform, Ansible, IBM, GitHub, GitLab, Jenkins, Splunk, Prometheus, Grafana
analytics engineer

【1496】_TE_【東京勤務】Honda SDV開発におけるデータ基盤エンジニア/データサイエンティスト @ honda

JP | 2025-12-25 | JPY 5900000 - 1090000 / year
Honda is fervently pursuing its Software Defined Vehicle (SDV) initiative, seeking a data engineer to architect and construct a robust data foundation from their labyrinthine data source web.... read more »
AI/ML, ETL/ELT, Python, SQL, JavaScript, C, AWS, Redshift, AWS Glue, AWS Lambda, GCP, BigQuery, Dataflow, Azure, Synapse, Databricks, Docker, Kubernetes, Jenkins, GitHub, GitLab, Jira, Confluence, Tableau, Power BI, Superset, Pandas, TensorFlow, PyTorch, GenAI, R, CI/CD
promoted

The Fundamentals of Analytics Engineering

The Fundamentals of Analytics Engineering gives a holistic understanding of the analytics engineering lifecycle by integrating principles from both data analysis and engineering. It's a book that teaches concepts and best practices, not just tools and technologies.

data engineer

【1484】_TE_【東京勤務】「Hondaクラウド基盤インフラエンジニア ─ 次世代モビリティを支える環境構築 @ honda

JP | 2025-12-25 | JPY 5900000 - 10900000 / year
Honda is building a cloud‑based SDV development platform and seeks an infrastructure engineer to design and run a massive, multi‑cloud development environment used by thousands of engineers. The... read more »
AWS, GCP, Azure, CI/CD, Jenkins, GitHub, Kubernetes, C, Python, JavaScript, Jira, Confluence, Git, Docker, GitLab, Argo CD, Prometheus, Grafana, Datadog, ELK, IaC, Terraform, Ansible, CloudFormation, DevOps, Linux, AI/ML
data engineer

Cloud Platform Engineer (Kafka Specialist) @ paypay-corp

JP | 2025-12-23
PayPay asks for a Kafka veteran who can both shepherd a self-hosted, multi-cluster streaming platform and navigate AWS MSK, all while moving toward KRaft and an event-driven architecture. The... read more »
Kafka, Data Streaming, AWS, Management, Java, Python, ELK, Athena, Docker, Kubernetes, Argo CD, GitHub, Jenkins, Terraform, Ansible, Logstash, Grafana, Confluence, Jira, Linux, Cloud Computing, Go, Git, CI/CD, Computer Science