1 to 25 of 116 Remote Containerisation Jobs in the South East

mandatory). Strong background as a Java Architect/Senior Java Developer with architecture responsibilities . Proven experience with: Java 11+/Spring Boot/Spring Cloud Microservices and containerisation (Docker, Kubernetes, OpenShift) Cloud platforms (AWS, Azure, or GCP) Messaging and integration technologies (Kafka, ActiveMQ, REST, GraphQL) Databases (SQL and NoSQL) Familiarity with enterprise integration patterns and secure system design. More ❯

mandatory). Strong background as a Java Architect/Senior Java Developer with architecture responsibilities . Proven experience with: Java 11+/Spring Boot/Spring Cloud Microservices and containerisation (Docker, Kubernetes, OpenShift) Cloud platforms (AWS, Azure, or GCP) Messaging and integration technologies (Kafka, ActiveMQ, REST, GraphQL) Databases (SQL and NoSQL) Familiarity with enterprise integration patterns and secure system design. More ❯

mandatory). Strong background as a Java Architect/Senior Java Developer with architecture responsibilities . Proven experience with: Java 11+/Spring Boot/Spring Cloud Microservices and containerisation (Docker, Kubernetes, OpenShift) Cloud platforms (AWS, Azure, or GCP) Messaging and integration technologies (Kafka, ActiveMQ, REST, GraphQL) Databases (SQL and NoSQL) Familiarity with enterprise integration patterns and secure system design. More ❯

modelling). Experience with cloud platforms (AWS, Azure, or GCP). Strong knowledge of SQL and database design. Excellent problem-solving and communication skills. Familiarity with CI/CD, containerisation (Docker, Kubernetes), and modern DevOps practices. Exposure to regulatory reporting, compliance systems, or financial services technology. Experience with big data tools and the modern data stack (e.g., dbt, Airflow, Kafka More ❯

modelling). Experience with cloud platforms (AWS, Azure, or GCP). Strong knowledge of SQL and database design. Excellent problem-solving and communication skills. Familiarity with CI/CD, containerisation (Docker, Kubernetes), and modern DevOps practices. Exposure to regulatory reporting, compliance systems, or financial services technology. Experience with big data tools and the modern data stack (e.g., dbt, Airflow, Kafka More ❯

modelling). Experience with cloud platforms (AWS, Azure, or GCP). Strong knowledge of SQL and database design. Excellent problem-solving and communication skills. Familiarity with CI/CD, containerisation (Docker, Kubernetes), and modern DevOps practices. Exposure to regulatory reporting, compliance systems, or financial services technology. Experience with big data tools and the modern data stack (e.g., dbt, Airflow, Kafka More ❯

operations teams to streamline deployment processes 🧠 What We’re Looking For: Proven experience in DevOps roles within agile environments Strong scripting skills (Python, Bash, etc.) Hands-on experience with containerization (Docker, Kubernetes) Familiarity with observability tools (Prometheus, Grafana, ELK) Excellent problem-solving and communication skills ✅ Bonus Points: Experience with security and compliance in cloud environments Knowledge of serverless architecture Previous More ❯

operations teams to streamline deployment processes 🧠 What We’re Looking For: Proven experience in DevOps roles within agile environments Strong scripting skills (Python, Bash, etc.) Hands-on experience with containerization (Docker, Kubernetes) Familiarity with observability tools (Prometheus, Grafana, ELK) Excellent problem-solving and communication skills ✅ Bonus Points: Experience with security and compliance in cloud environments Knowledge of serverless architecture Previous More ❯

operations teams to streamline deployment processes 🧠 What We’re Looking For: Proven experience in DevOps roles within agile environments Strong scripting skills (Python, Bash, etc.) Hands-on experience with containerization (Docker, Kubernetes) Familiarity with observability tools (Prometheus, Grafana, ELK) Excellent problem-solving and communication skills ✅ Bonus Points: Experience with security and compliance in cloud environments Knowledge of serverless architecture Previous More ❯

Pulsar, or similar). Strong understanding of REST APIs and integration patterns. Experience with cloud environments (AWS, Azure, or GCP). Good knowledge of CI/CD tools and containerisation (Docker, Kubernetes). Understanding of system design, distributed systems, and data streaming. Strong problem-solving skills, with the ability to work independently in a fast-paced environment. Desirable Skills Experience More ❯

Pulsar, or similar). Strong understanding of REST APIs and integration patterns. Experience with cloud environments (AWS, Azure, or GCP). Good knowledge of CI/CD tools and containerisation (Docker, Kubernetes). Understanding of system design, distributed systems, and data streaming. Strong problem-solving skills, with the ability to work independently in a fast-paced environment. Desirable Skills Experience More ❯

Pulsar, or similar). Strong understanding of REST APIs and integration patterns. Experience with cloud environments (AWS, Azure, or GCP). Good knowledge of CI/CD tools and containerisation (Docker, Kubernetes). Understanding of system design, distributed systems, and data streaming. Strong problem-solving skills, with the ability to work independently in a fast-paced environment. Desirable Skills Experience More ❯

and share results clearly. Nice to Have: Exposure to video, media, or codec technologies (encoding/decoding, quality metrics such as VMAF/PSNR/SSIM). Experience with containerisation (Docker, Kubernetes) and cloud platforms (AWS, GCP, Azure). Familiarity with BDD frameworks (Cucumber, Spock). Background in data science/analytics to interpret and visualise results. Interest in AI More ❯

and share results clearly. Nice to Have: Exposure to video, media, or codec technologies (encoding/decoding, quality metrics such as VMAF/PSNR/SSIM). Experience with containerisation (Docker, Kubernetes) and cloud platforms (AWS, GCP, Azure). Familiarity with BDD frameworks (Cucumber, Spock). Background in data science/analytics to interpret and visualise results. Interest in AI More ❯

and share results clearly. Nice to Have: Exposure to video, media, or codec technologies (encoding/decoding, quality metrics such as VMAF/PSNR/SSIM). Experience with containerisation (Docker, Kubernetes) and cloud platforms (AWS, GCP, Azure). Familiarity with BDD frameworks (Cucumber, Spock). Background in data science/analytics to interpret and visualise results. Interest in AI More ❯

What Will Our Ideal Candidate Have? Experience as a DevOps Engineer. Strong proficiency in cloud technologies, particularly AWS (e.g., EC2, S3, Lambda, RDS, IAM, SNS, SQS). Experience with containerization technologies such as Docker and container orchestration platforms like Kubernetes or Amazon EKS. Proficiency in scripting languages such as Python, Bash, or PowerShell. Experience with infrastructure as code tools such More ❯

AWS concepts and services Basic understanding of Infrastructure-as-Code Basic understanding of CI/CD pipelines Basic understanding of Unix/Linux scripting (Linux Bash, Python) Understanding of containerisation Problem-solving and troubleshooting skills Good communication and teamwork skills Good technical documentation & knowledge sharing skills Desired Skills & Experience Azure DevOps Cloud Certification (AWS Certified: Cloud Practitioner, Solution Architect) Docker More ❯

What Will Our Ideal Candidate Have? Experience as a DevOps Engineer. Strong proficiency in cloud technologies, particularly AWS (e.g., EC2, S3, Lambda, RDS, IAM, SNS, SQS). Experience with containerization technologies such as Docker and container orchestration platforms like Kubernetes or Amazon EKS. Proficiency in scripting languages such as Python, Bash, or PowerShell. Experience with infrastructure as code tools such More ❯

AI/codec workflows, including ML inference and neural compression pipelines. Requirements: Hands-on experience with CI/CD pipelines (GitHub Actions, Jenkins, GitLab CI, etc.). Proficiency in containerisation and orchestration (Docker, Kubernetes). Experience with cloud GPU infrastructure (AWS, Azure, GCP) and IaC (Terraform, Ansible). Familiarity with GPU workflows (CUDA, SYCL, Vulkan, OpenCL) or HPC performance optimisation. More ❯

AI/codec workflows, including ML inference and neural compression pipelines. Requirements: Hands-on experience with CI/CD pipelines (GitHub Actions, Jenkins, GitLab CI, etc.). Proficiency in containerisation and orchestration (Docker, Kubernetes). Experience with cloud GPU infrastructure (AWS, Azure, GCP) and IaC (Terraform, Ansible). Familiarity with GPU workflows (CUDA, SYCL, Vulkan, OpenCL) or HPC performance optimisation. More ❯

Experience · Strong expertise in AWS services (e.g., EC2, S3, RDS, Lambda) and/or Azure. · Hands-on experience with Infrastructure as Code tools (Terraform, ARM, BICEP). · Proficiency in containerisation and orchestration (Docker, Kubernetes/EKS). · Skilled in scripting languages such as Python, Bash, PowerShell, or TypeScript. · Solid understanding of Linux, Windows, and storage systems. · Experience with monitoring and More ❯

Experience · Strong expertise in AWS services (e.g., EC2, S3, RDS, Lambda) and/or Azure. · Hands-on experience with Infrastructure as Code tools (Terraform, ARM, BICEP). · Proficiency in containerisation and orchestration (Docker, Kubernetes/EKS). · Skilled in scripting languages such as Python, Bash, PowerShell, or TypeScript. · Solid understanding of Linux, Windows, and storage systems. · Experience with monitoring and More ❯

Experience · Strong expertise in AWS services (e.g., EC2, S3, RDS, Lambda) and/or Azure. · Hands-on experience with Infrastructure as Code tools (Terraform, ARM, BICEP). · Proficiency in containerisation and orchestration (Docker, Kubernetes/EKS). · Skilled in scripting languages such as Python, Bash, PowerShell, or TypeScript. · Solid understanding of Linux, Windows, and storage systems. · Experience with monitoring and More ❯

quality software under tight timelines. Strong communication skills, able to motivate and align technical teams. Experience with AI tools, APIs, or ML pipelines is highly desirable. Bonus: exposure to containerisation (Docker/Kubernetes), event-driven architecture (Kafka/RabbitMQ), or startup environments. What We Offer Hybrid working as standard 25 days annual leave + bank holidays Flexible holiday scheme Paid More ❯

Spring Boot) technologies Proven experience designing, building and testing end-to-end web applications Strong understanding of relational databases and query performance (PostgreSQL/MySQL) Exposure to DevOps and containerisation tools (e.g., Docker, GitHub Actions, Jenkins) Ability to work confidently in both Windows and Linux environments Degree in Computer Science, Engineering, or related field - or equivalent practical experience Excellent communication More ❯