Docker

containerization, devops, virtualization
D
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There was a time when deploying applications felt like a dark art, a chaotic ritual of dependency hell and “it works on my machine” laments. Then came Docker, promising to encapsulate applications and their dependencies into neat, portable containers. Quite clever, really, though one does wonder if we simply traded one set of configuration headaches for another. It's essentially lightweight virtualization, a lovechild of chroot and control groups, allowing developers to package their code and run it consistently across different environments.

The reality? It mostly delivers. While not a silver bullet – Kubernetes quickly became the default orchestration layer, adding its own complexity – Docker remains ubiquitous. Alternatives like Podman exist, offering rootless containers and a slightly different approach, but Docker still dominates the landscape. Pretty much every cloud provider embraces it, and if you're not containerizing your applications in 2024, you're probably doing it wrong…or at least making life significantly harder for your operations team.

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Jobs in using Docker for but please no

data engineer

Software Engineer @ liveramp

US | 2025-12-25 | USD 99500 - 155000 / year
LiveRamp seeks engineers to develop scalable identity resolution solutions within a cloud-agnostic SaaS platform, emphasizing privacy and security. The standout is their global, customizable... read more »
SaaS, Cloud Computing, GCP, AWS, Snowflake, Databricks, Azure, IaC, Docker, Kubernetes, Terraform, Data Science, Data Streaming, API, Marketing, Management, Java, Python, Go, Big Data, Spark, Airflow, Dataflow, BigQuery, Cloud Storage, AI/ML, Data Analytics
data engineer

Data Engineer - Platform 1 (P1) @ flyzipline

US | 2025-12-24
Zipline seeks a Data Engineer to build scalable data infrastructure for its logistics platform, with a key differentiator being its focus on autonomous drone delivery and complex international... read more »
Management, CRM, Analytics, AI/ML, ETL/ELT, Data Quality, Python, SQL, Airflow, Prefect, Dagster, Snowflake, BigQuery, Redshift, API, dbt, CI/CD, Docker, Kubernetes, Data Streaming, Kafka, Kinesis