Docker
Open jobs
1793
Companies looking for
1667
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.
Used together with Docker
Jobs (this month)
1793
Companies with Jobs
1667
Jobs in using Docker for but please no
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data engineer
Technology, Application Development, Full-Time Analyst, New York/New Jersey - USA, 2026 @ citi
US | 2025-12-27
| USD
105000
/ year
Rotational two-year Technology Analyst Program at Citi, starting July, blending hands-on software development across multiple teams with a structured training track; it offers global exposure and...
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Agile/Scrum, Go, Java, Cloud Computing, JavaScript, GenAI, GitHub, TypeScript, Data Analytics, Splunk, Tableau, Adobe Analytics, API, AWS, CI/CD, Jira, Docker, Data Streaming, Kafka, Kubernetes, Computer Science, Management | ||
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data engineer
Senior Engineer - Data Analytics @ geico
US | 2025-12-25
| USD
100000 - 230000
/ year
GEICO is seeking a Senior Engineer to develop high-performance data pipelines and models, with a focus on building resilient distributed systems and supporting internal analytics. The role's...
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Data Analytics, Analytics Engineering, Data Modelling, Python, SQL, NoSQL, Spark, dbt, Docker, Kubernetes, Azure, Power BI, Superset, Big Data, Kafka, Git, Snowflake, dimensional modeling, Analytics, BI, Iceberg, Airflow, ETL/ELT, CI/CD, DevOps, Azure DevOps, Management, API, Data Quality, Marketing, AWS, GCP, Cloud Computing, Databricks, Computer Science, Data Science | ||
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promoted
O'Reilly Power BI LearningMaster Power BI fast: build basic-to-advanced visuals, apply smart design, use dynamic slicers/filters & new cards, choose the right chart, spotlight key insights, brand and theme reports, and seamlessly publish/share in the Service. |
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data engineer
Quantitative Researcher @ streetidtech
US | 2025-12-23
This role is a tightrope walk between data engineering and financial modeling, requiring a deep technical foundation in Python, Pandas, and financial systems. The position demands not just coding...
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Data Engineering, Python, Pandas, Analytics, API, DevOps, CI/CD, Docker, Cloud Computing, Data Science, Computer Science, NumPy, SciPy, Matplotlib, Seaborn, Git |
