576 to 600 of 2,039 Containerisation Jobs

technology environment. Strong track record in automation, monitoring, and incident response for distributed or mission-critical systems. Proficiency in scripting and systems programming. Hands-on experience with configuration management, containerisation, and orchestration tools. Tech Stack + Tools: Programming & Scripting: Strong proficiency in Python (core requirement), with additional experience using T-SQL and Bash. Infrastructure & Systems: Exposure to Linux and Windows More ❯

technology environment. Strong track record in automation, monitoring, and incident response for distributed or mission-critical systems. Proficiency in scripting and systems programming. Hands-on experience with configuration management, containerisation, and orchestration tools. Tech Stack + Tools: Programming & Scripting: Strong proficiency in Python (core requirement), with additional experience using T-SQL and Bash. Infrastructure & Systems: Exposure to Linux and Windows More ❯

technology environment. Strong track record in automation, monitoring, and incident response for distributed or mission-critical systems. Proficiency in scripting and systems programming. Hands-on experience with configuration management, containerisation, and orchestration tools. Tech Stack + Tools: Programming & Scripting: Strong proficiency in Python (core requirement), with additional experience using T-SQL and Bash. Infrastructure & Systems: Exposure to Linux and Windows More ❯

data warehousing (Redshift, Snowflake, BigQuery) Experience with workflow orchestration tools (Airflow, Dagster, Prefect) Understanding of distributed systems, batch and streaming data (Kafka, Kinesis) Knowledge of IaC (Terraform, CloudFormation) and containerisation (Docker, Kubernetes) Nice to have: Experience with dbt, feature stores, or ML pipeline tooling Familiarity with Elasticsearch or real-time analytics (Flink, Materialize) Exposure to eCommerce, marketplace, or transactional environments More ❯

data warehousing (Redshift, Snowflake, BigQuery) Experience with workflow orchestration tools (Airflow, Dagster, Prefect) Understanding of distributed systems, batch and streaming data (Kafka, Kinesis) Knowledge of IaC (Terraform, CloudFormation) and containerisation (Docker, Kubernetes) Nice to have: Experience with dbt, feature stores, or ML pipeline tooling Familiarity with Elasticsearch or real-time analytics (Flink, Materialize) Exposure to eCommerce, marketplace, or transactional environments More ❯

data warehousing (Redshift, Snowflake, BigQuery) Experience with workflow orchestration tools (Airflow, Dagster, Prefect) Understanding of distributed systems, batch and streaming data (Kafka, Kinesis) Knowledge of IaC (Terraform, CloudFormation) and containerisation (Docker, Kubernetes) Nice to have: Experience with dbt, feature stores, or ML pipeline tooling Familiarity with Elasticsearch or real-time analytics (Flink, Materialize) Exposure to eCommerce, marketplace, or transactional environments More ❯

data warehousing (Redshift, Snowflake, BigQuery) Experience with workflow orchestration tools (Airflow, Dagster, Prefect) Understanding of distributed systems, batch and streaming data (Kafka, Kinesis) Knowledge of IaC (Terraform, CloudFormation) and containerisation (Docker, Kubernetes) Nice to have: Experience with dbt, feature stores, or ML pipeline tooling Familiarity with Elasticsearch or real-time analytics (Flink, Materialize) Exposure to eCommerce, marketplace, or transactional environments More ❯

data warehousing (Redshift, Snowflake, BigQuery) Experience with workflow orchestration tools (Airflow, Dagster, Prefect) Understanding of distributed systems, batch and streaming data (Kafka, Kinesis) Knowledge of IaC (Terraform, CloudFormation) and containerisation (Docker, Kubernetes) Nice to have: Experience with dbt, feature stores, or ML pipeline tooling Familiarity with Elasticsearch or real-time analytics (Flink, Materialize) Exposure to eCommerce, marketplace, or transactional environments More ❯

senior role Excellent communication and client-facing skills Experience with tools like Prometheus, Grafana, or Ansible is a plus Cloud experience (AWS/Azure), scripting (Bash/Python), or containerization (Docker/Kubernetes) desirable Why Beonic Hybrid working – 2–3 days in office Global project exposure and travel opportunities 25 days annual leave + 5 personal leave days Pension, private More ❯

senior role Excellent communication and client-facing skills Experience with tools like Prometheus, Grafana, or Ansible is a plus Cloud experience (AWS/Azure), scripting (Bash/Python), or containerization (Docker/Kubernetes) desirable Why Beonic Hybrid working - 2-3 days in office Global project exposure and travel opportunities 25 days annual leave + 5 personal leave days Pension, private More ❯

data warehousing (Redshift, Snowflake, BigQuery) Experience with workflow orchestration tools (Airflow, Dagster, Prefect) Understanding of distributed systems, batch and streaming data (Kafka, Kinesis) Knowledge of IaC (Terraform, CloudFormation) and containerisation (Docker, Kubernetes) Nice to have: Experience with dbt, feature stores, or ML pipeline tooling Familiarity with Elasticsearch or real-time analytics (Flink, Materialize) Exposure to eCommerce, marketplace, or transactional environments More ❯

data warehousing (Redshift, Snowflake, BigQuery) Experience with workflow orchestration tools (Airflow, Dagster, Prefect) Understanding of distributed systems, batch and streaming data (Kafka, Kinesis) Knowledge of IaC (Terraform, CloudFormation) and containerisation (Docker, Kubernetes) Nice to have: Experience with dbt, feature stores, or ML pipeline tooling Familiarity with Elasticsearch or real-time analytics (Flink, Materialize) Exposure to eCommerce, marketplace, or transactional environments More ❯

senior role Excellent communication and client-facing skills Experience with tools like Prometheus, Grafana, or Ansible is a plus Cloud experience (AWS/Azure), scripting (Bash/Python), or containerization (Docker/Kubernetes) desirable Why Beonic Hybrid working – 2–3 days in office Global project exposure and travel opportunities 25 days annual leave + 5 personal leave days Pension, private More ❯

strong understanding of Software Development Life Cycle (SDLC) best practices. Knowledge of SQL for database management and query optimization. Proficiency in Linux and Docker, ideally including system administration and containerization for deployment and scaling. Preferred Skills & Experience: Quantitative Finance experience and knowledge strongly preferred, most especially to include a deep understanding of Futures and Systematic Trading Experience in developing financial More ❯

strong understanding of Software Development Life Cycle (SDLC) best practices. Knowledge of SQL for database management and query optimization. Proficiency in Linux and Docker, ideally including system administration and containerization for deployment and scaling. Preferred Skills & Experience: Quantitative Finance experience and knowledge strongly preferred, most especially to include a deep understanding of Futures and Systematic Trading Experience in developing financial More ❯

role. Cloud Proficiency: Securely deploy and manage AWS or Azure applications, with cloud-native tooling and security best practices. Scripting Skills: Proficiency in Python. Docker Proficiency: Experience with Docker containerization for software deployment and scalability. CI/CD Expertise: Automate software build, test, and deployment pipelines following agile methodologies. Terraform Exposure: Beneficial experience with Terraform. Observability Tools: Experience with Grafana More ❯

role. Cloud Proficiency: Securely deploy and manage AWS or Azure applications, with cloud-native tooling and security best practices. Scripting Skills: Proficiency in Python. Docker Proficiency: Experience with Docker containerization for software deployment and scalability. CI/CD Expertise: Automate software build, test, and deployment pipelines following agile methodologies. Terraform Exposure: Beneficial experience with Terraform. Observability Tools: Experience with Grafana More ❯

role. Cloud Proficiency: Securely deploy and manage AWS or Azure applications, with cloud-native tooling and security best practices. Scripting Skills: Proficiency in Python. Docker Proficiency: Experience with Docker containerization for software deployment and scalability. CI/CD Expertise: Automate software build, test, and deployment pipelines following agile methodologies. Terraform Exposure: Beneficial experience with Terraform. Observability Tools: Experience with Grafana More ❯

strong understanding of Software Development Life Cycle (SDLC) best practices. Knowledge of SQL for database management and query optimization. Proficiency in Linux and Docker, ideally including system administration and containerization for deployment and scaling. Preferred Skills & Experience: Quantitative Finance experience and knowledge strongly preferred, most especially to include a deep understanding of Futures and Systematic Trading Experience in developing financial More ❯

strong understanding of Software Development Life Cycle (SDLC) best practices. Knowledge of SQL for database management and query optimization. Proficiency in Linux and Docker, ideally including system administration and containerization for deployment and scaling. Preferred Skills & Experience: Quantitative Finance experience and knowledge strongly preferred, most especially to include a deep understanding of Futures and Systematic Trading Experience in developing financial More ❯

strong understanding of Software Development Life Cycle (SDLC) best practices. Knowledge of SQL for database management and query optimization. Proficiency in Linux and Docker, ideally including system administration and containerization for deployment and scaling. Preferred Skills & Experience: Quantitative Finance experience and knowledge strongly preferred, most especially to include a deep understanding of Futures and Systematic Trading Experience in developing financial More ❯

. Drive engineering excellence , establishing and maintaining standards, metrics, and best practices. Mentor and develop engineering teams, encouraging innovation and continuous learning. Champion modern engineering practices - CI/CD, containerisation (Docker/Kubernetes), and DevOps approaches. Design and deliver RESTful APIs and microservices with a focus on performance and scalability. What You'll Bring Proven expertise in back-end development More ❯

Agile/Scrum methodologies. Desirable/Bonus Skills Experience with the Play or Spring frameworks. Exposure to NoSQL databases (e.g., MongoDB, Cassandra, DynamoDB). Knowledge of microservices architectures and containerisation (Docker, Kubernetes). Experience conducting system autopsies or root cause analyses after production incidents. More ❯

LLM & Agent Expertise: Hands-on experience with LLMs (OpenAI, Anthropic, Mistral) and agent frameworks. Advanced Tools: Familiarity with vector databases, RAG pipelines, prompt engineering, REST APIs, cloud deployment, and containerization (Docker/Kubernetes). Domain Knowledge: Experience in one or more business domains such as finance, housing, operations, or customer service. Preferred Extras: Degree in Computer Science, AI, Data Science More ❯

Python-based IaC frameworks (Pulumi, Terraform, CDKs). Hands-on experience building CI/CD pipelines for AI deployments (Github Actions, MLFlow, ZenML, or similar). Deep understanding of containerisation and orchestration tools (Docker, Kubernetes). Desirable Experience deploying AI inference engines (vLLM, Ray Serve, Triton). Familiarity with observability tools for LLMs (TruLens, Helicone, LangSmith). Understanding of AI More ❯