326 to 350 of 1,088 Containerisation Jobs in the UK

S3, ECS, Lambda, RDS, IAM, CloudWatch) Solid experience writing Infrastructure as Code using Terraform Experience with CI/CD tools such as GitHub Actions, Jenkins, or similar Familiarity with containerisation tools (e.g. Docker, Kubernetes a plus) Knowledge of monitoring/logging tools (e.g. CloudWatch, Prometheus, ELK) Strong scripting skills (e.g. Bash, Python) Excellent communication and stakeholder engagement skills Location & Flexibility More ❯

EC2, S3, RDS, Lambda, API Gateway). Proficiency with Infrastructure as Code (Terraform preferred). Familiarity with CI/CD platforms (GitHub Actions, Jenkins, GitLab CI). Understanding of containerisation (Docker, Kubernetes). Solid grasp of networking, IAM, and platform security. Experience with databases (MySQL, DynamoDB, Snowflake). Comfortable scripting in Bash, Python, or Go. Collaborative mindset, strong communication, and More ❯

a culture of quality and continuous improvement Essential experience Strong knowledge of coding concepts and modern engineering practices Cloud expertise (AWS preferred) with infrastructure-as-code (Terraform/CloudFormation) Containerisation and orchestration (Docker, Kubernetes) Modern development frameworks (React, Node.js, Next.js, Python) Databases such as DynamoDB, MongoDB, or RDS CI/CD pipelines (GitHub Actions) Identity and access management (SSO, federated More ❯

Monitor, Application Insights, or similar solutions. Excellent problem-solving skills and the ability to troubleshoot complex environment issues. Experience with scripting languages such as PowerShell or Python. Familiarity with containerization technologies such as Docker and orchestration tools like Kubernetes. If you are interested in this opportunity please apply online or for more information, please email me on More ❯

SOLID, SOA, HTTP, REST). Hands-on experience with Spring Boot, Spring Cloud, and microservices architecture. Experience in API design, development, and integration. Strong understanding of CI/CD, containerization (Docker/Kubernetes), and deployment automation. Ability to collaborate effectively across teams in an agile development environment. A passion for delivering high-quality software and continuously improving systems and processes. More ❯

emerging cloud technologies and recommend adoption strategies. Essential Experience Proven experience designing and implementing cloud-based solutions (Azure, AWS, or GCP). Strong grasp of architecture principles, automation tools, containerisation, and DevOps . Hands-on experience with Python, Java, or scripting languages . Deep understanding of security and compliance frameworks in complex environments. Ability to translate complex technical concepts into 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 ❯

supporting pricing, revenue, and market analytics. Play a key role in maintaining and optimising the business’s data warehouse and dynamic pricing model . Gain exposure to Azure cloud , containerisation, and DevOps best practices . Salary up to £75,000 with flexible, remote-first working. 👩 💻 What you’ll be doing: Managing and maintaining a Python-based data warehouse , ensuring reliable More ❯

development. Experience with relational and/or NoSQL databases. Solid understanding of software development principles, design patterns, and agile methodologies. Experience with Python is a significant advantage. Familiarity with containerization technologies (e.g., Docker, Kubernetes). Experience with CI/CD pipelines. Please send me your CV for more information on these roles. Reasonable Adjustments: Respect and equality are core values More ❯

supporting pricing, revenue, and market analytics. Play a key role in maintaining and optimising the business's data warehouse and dynamic pricing model . Gain exposure to Azure cloud , containerisation, and DevOps best practices . Salary up to £75,000 with flexible, remote-first working. What you'll be doing: Managing and maintaining a Python-based data warehouse , ensuring reliable More ❯

. Strong knowledge of data manipulation and analysis tools (e.g., SQL, Pandas). Experience with ML Ops practices and tools. Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes). Excellent problem-solving skills and the ability to think critically and creatively. Strong communication skills, with the ability to convey complex technical concepts to non 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 ❯

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 ❯

built a front-end app and a console or dashboard backend. Deep expertise in serverless/event-driven architecture on AWS. Mastery of CI/CD, Agile delivery, and containerisation (Docker, Kubernetes). Strong leadership of distributed engineering teams. Desirable: Experience in social media, advertising, eCommerce, or news. Proficiency in Node.js, Go, Python, Java, and modern front-end frameworks. AWS More ❯

built a front-end app and a console or dashboard backend. Deep expertise in serverless/event-driven architecture on AWS. Mastery of CI/CD, Agile delivery, and containerisation (Docker, Kubernetes). Strong leadership of distributed engineering teams. Desirable: Experience in social media, advertising, eCommerce, or news. Proficiency in Node.js, Go, Python, Java, and modern front-end frameworks. AWS 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 ❯

built a front-end app and a console or dashboard backend. Deep expertise in serverless/event-driven architecture on AWS. Mastery of CI/CD, Agile delivery, and containerisation (Docker, Kubernetes). Strong leadership of distributed engineering teams. Desirable: Experience in social media, advertising, eCommerce, or news. Proficiency in Node.js, Go, Python, Java, and modern front-end frameworks. AWS More ❯

data governance. AWS certifications (e.g., AWS Certified Solutions Architect - Professional). Expertise in cloud security, IAM, encryption, and secure networking. Experience with CI/CD pipelines, DevOps practices, and containerization (Docker, Kubernetes). Proficiency in scripting languages (Python, Bash) and automation tools. Excellent communication and stakeholder management skills. Desirable: Experience with financial data platforms (e.g., Bloomberg, Refinitiv). Knowledge of 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 ❯

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 ❯

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 ❯