251 to 275 of 890 Containerisation Jobs in England

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 ❯

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 ❯

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 ❯

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 ❯

. 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 ❯

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 ❯

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 ❯

youre passionate about automation, observability, and designing systems that just dont fail , this is the perfect environment for you. Tech Stack Cloud: AWS (EC2, RDS, S3, IAM, Lambda, CloudWatch) Containerisation & Orchestration: Docker, Kubernetes (EKS) Infrastructure as Code: Terraform Configuration Management: Ansible Monitoring & Observability: Prometheus, Grafana, ELK Stack CI/CD: GitHub Actions Scripting & Automation: Python, Bash, or Go What Youll More ❯

Looking For 4+ years of hands-on Platform Engineering or DevOps experience. Proven ability to manage and secure applications in AWS. Strong scripting skills with Python. Solid understanding of containerisation concepts and how they support scalability, isolation, and portability in modern application deployment. Familiarity with monitoring stacks (Grafana, Prometheus, etc.) Working knowledge of CI/CD pipelines and Git-based More ❯

abilities and adaptability Leadership experience with strong communication skills Structured approach to quantitative challenges Comfort working in a dynamic startup environment Qualifications Microsoft Azure experience, particularly R integration Application containerization knowledge (Docker, etc.) Familiarity with Python, JavaScript, C++, bash, or other languages Web application development experience (React, .NET) Background in data security and IP protection workflows Knowledge of environmental sustainability More ❯

abilities and adaptability Leadership experience with strong communication skills Structured approach to quantitative challenges Comfort working in a dynamic startup environment Qualifications Microsoft Azure experience, particularly R integration Application containerization knowledge (Docker, etc.) Familiarity with Python, JavaScript, C++, bash, or other languages Web application development experience (React, .NET) Background in data security and IP protection workflows Knowledge of environmental sustainability More ❯

software architecture patterns , including CQRS, DDD, and dependency injection. Strong communication, leadership, and mentoring skills. Nice to Have: Experience with Power Platform , Dynamics 365 , or SharePoint . Familiarity with containerization (Docker, Kubernetes). Exposure to front-end technologies (React, Angular, or Blazor). Knowledge of security best practices in cloud and API development. Benefits: Competitive salary More ❯

shifting priorities. Proficiency in Linux server administration. Experience with technologies such as Apache NiFi, MinIO, and AWS S3. Skilled in managing and patching Java and Python applications. Familiarity with containerization tools like Docker or Podman and deployment platforms such as Kubernetes or OpenShift To be Considered: Please either apply by clicking online or emailing me directly at henry.clay-davies@searchability.com More ❯

abilities and adaptability Leadership experience with strong communication skills Structured approach to quantitative challenges Comfort working in a dynamic startup environment Qualifications Microsoft Azure experience, particularly R integration Application containerization knowledge (Docker, etc.) Familiarity with Python, JavaScript, C++, bash, or other languages Web application development experience (React, .NET) Background in data security and IP protection workflows Knowledge of environmental sustainability More ❯

QEMU, hypervisors) to optimise performance and isolation. Implement monitoring, logging, and performance tuning for containerised workloads in secure environments. Essential skills Strong Linux background with hands-on experience in containerisation (Docker, Podman) and orchestration (Kubernetes). Familiarity with virtualised computing and isolated execution environments. Scripting or development experience in Python and/or C++. Understanding of CI/CD pipelines More ❯

abilities and adaptability Leadership experience with strong communication skills Structured approach to quantitative challenges Comfort working in a dynamic startup environment Qualifications Microsoft Azure experience, particularly R integration Application containerization knowledge (Docker, etc.) Familiarity with Python, JavaScript, C++, bash, or other languages Web application development experience (React, .NET) Background in data security and IP protection workflows Knowledge of environmental sustainability More ❯

in the development of machine learning models and/or deep learning to solve complex science and engineering problems Experience with MLOps tools and practices, including Airflow, MLflow, and containerization (e.g., Docker) A passion for gaining insight into real-world datasets and clearly communicating through data visualization techniques Interest in material discovery, computer vision, handling big data and optimisation techniques More ❯