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
Java Software Engineer @ imc-trading
AU | 2025-12-27
IMC seeks a data engineer experienced in Java 11+ to build scalable, low-latency, high-throughput data processing systems using Kafka, Avro, and Parquet, with a unique focus on transforming...
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Java, DataViz, Data Engineering, Analytics, Kafka, Avro, Parquet, Data Streaming, Docker, Kubernetes, Linux | ||
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data scientist
PreSales Engineer (ANZ) @ everseen-limited
AU | 2025-12-26
At Everseen, a PreSales Engineer wears the technical hat in the Go-To-Market team: act as SME for vision-AI retail solutions, deliver tailored demos, own technical components of the sales cycle,...
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AI/ML, Go, GenAI, SaaS, Data Analytics, Linux, Bash, Management, Docker, Kubernetes, VMware, Oracle, Cloud Computing, Prometheus, Grafana, Ansible, Microsoft, Jira, Power BI | ||
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promoted
The Fundamentals of Analytics EngineeringThe 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. |
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data engineer
Software Engineer II @ the-trade-desk
AU | 2025-12-26
Trade Desk's Measurement Upper Funnel role promises end-to-end ownership across a multi-cloud, microservices-heavy stack while chasing petabyte-scale insights from 600 billion queries a day. It's...
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Funnel, Cloud Computing, JavaScript, React, API, Docker, Kubernetes, Big Data, Spark, Flink, Terraform, GitLab, AWS, Azure, Databricks, SQL Server, Vertica, ClickHouse, AI/ML, C, Java, SQL, Agile/Scrum, RDBMS, Data Analytics, Python, NumPy, Pandas | ||
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data engineer
Senior Data Engineer @ macquariegroup
AU | 2025-12-25
Senior Data Engineer at Macquarie’s Vulnerability Management team designs a greenfield data pipeline in a multi-cloud setting to surface and contextualise critical vulnerabilities across the...
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Management, Cloud Computing, Python, DWH, BI, ETL/ELT, Data Modelling, dbt, RDBMS, Redshift, PostgreSQL, SQL Server, SQL, Docker, AWS, CI/CD, Linux, Unix | ||
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machine learning engineer
Machine Learning Engineer @ rea-group
AU | 2025-12-24
REA Group promises a hands-on ML engineering role within a top-tier property brand, building scalable multi-modal AI across web and app platforms. The tech stack reads like a tour of modern ML...
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AI/ML, GenAI, LLM, API, Cloud Computing, AWS, GCP, Amazon SageMaker, Docker, IaC, Python, DataViz, Analytics, Data Science, SQL, PyTorch, Keras, RDBMS, MySQL, PostgreSQL, BigQuery, NoSQL, Redis, DynamoDB, ELK, Amazon EC2, S3, Terraform, CloudFormation | ||
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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 |