to collaborate effectively with cross-functional teams. Cloud Services: Experience with cloud platforms like AWS , GCP , or Azure . DevOps Tools: Familiarity with containerization ( Docker ) and infrastructure automation tools like Terraform or Ansible . Real-time Data Streaming: Experience with Apache Pulsar or similar systems for real-time messaging and More ❯
quality through code reviews, CI/CD, test automation, and Git-based workflows. Own deployment pipelines across cloud providers (AWS, GCP, Azure) using containerization (Docker, Kubernetes). Design and implement microservices and APIs for internal tools and external integrations. Work with data at scale (market data ingestion, real-time analytics More ❯
london, south east england, United Kingdom Hybrid / WFH Options
Trireme
quality through code reviews, CI/CD, test automation, and Git-based workflows. Own deployment pipelines across cloud providers (AWS, GCP, Azure) using containerization (Docker, Kubernetes). Design and implement microservices and APIs for internal tools and external integrations. Work with data at scale (market data ingestion, real-time analytics More ❯
JWT). Experience with relational and NoSQL databases (e.g., PostgreSQL, MongoDB, Redis). Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes). Strong grasp of software design principles, testing frameworks, and DevOps practices. Excellent problem-solving, communication, and collaboration skills. Preferred Qualifications Experience with server More ❯
JWT). Experience with relational and NoSQL databases (e.g., PostgreSQL, MongoDB, Redis). Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes). Strong grasp of software design principles, testing frameworks, and DevOps practices. Excellent problem-solving, communication, and collaboration skills. Preferred Qualifications Experience with server More ❯
integrations between RESTful APIs exposed by products and services across the business. Leveraging message queues like RabbitMQ and Kafka. Leveraging deployment tools such as Docker and Kubernetes. Keep up to date with innovative technologies. Key skills and attributes needed: Self-starter with a desire to continue learning new skills and More ❯
Skills: Experience with cloud platforms e.g., AWS, Azure, Google Cloud. Knowledge of DevOps practices and CI/CD pipelines. Experience with containerization technologies e.g., Docker, Kubernetes. Experience in writing distributed systems and concepts of sharding, Pub/Sub. Understanding of Agile methodologies. Even if you don't meet every requirement More ❯
ELB, RDS, IAM, Route 53, Auto Scaling Groups, Lambda, Cloud Watch, Cloud Formation and Security Groups. You possess expertise in containerisation within Kubernetes and Docker and are familiar with the pattern of Microservice Architecture. You can define container configuration and troubleshoot issues. You're an expert with configuration management technologies More ❯
and infrastructure as code. Familiarity with CI/CD pipelines, automated testing, and modern software development practices. Knowledge of technologies such as microservices, containerisation (Docker, Kubernetes), or serverless architecture. Awareness of principles like well architected and secure by design Desirable Previous experience in a senior engineering role, guiding teams to More ❯
Cloud), Microservice Architecture, and SQL/NoSQL databases. Proficiency with ORM frameworks (e.g., Hibernate), messaging tools (Kafka, Kinesis, Redis), and cloud infrastructure technologies (AWS, Docker, Kubernetes, Terraform). Strong understanding of CI/CD pipelines, observability tools (e.g., DataDog), and Agile and Lean methodologies. Demonstrated ability to adapt to new More ❯
software e.g. Amazon and Azure machine learning, or Google's TensorFlow Deploying and managing in Cloud Computing such as AWS, MS Azure Containerisation e.g. Docker, Kubernetes Relational, document, or graph database systems Software configuration and deployment e.g. Ansible Applicants will need to be eligible to work in the UK and More ❯
with CI/CD pipelines and automated testing frameworks. Experience with various architecture patterns eg microservices and event-driven. Experience with containerization technologies (e.g. Docker, Kubernetes). Proven ability to manage and lead engineering teams to success. Expertise in designing scalable and secure software architectures. Desirable Knowledge of emerging technologies More ❯
and retrospectives. SKILLS, EXPERIENCE & QUALIFICATIONS Experience with on premise hardware options and cloud platforms (AWS, Azure, or Google Cloud). Knowledge of containerization technologies (Docker, Kubernetes). Understanding of microservices architecture. Experience with performance optimization and scalability. Contributions to open-source projects. Strong proficiency in at least one major programming More ❯
and retrospectives. SKILLS, EXPERIENCE & QUALIFICATIONS Experience with on premise hardware options and cloud platforms (AWS, Azure, or Google Cloud). Knowledge of containerization technologies (Docker, Kubernetes). Understanding of microservices architecture. Experience with performance optimization and scalability. Contributions to open-source projects. Strong proficiency in at least one major programming More ❯
and retrospectives. SKILLS, EXPERIENCE & QUALIFICATIONS Experience with on premise hardware options and cloud platforms (AWS, Azure, or Google Cloud). Knowledge of containerization technologies (Docker, Kubernetes). Understanding of microservices architecture. Experience with performance optimization and scalability. Contributions to open-source projects. 5+ years of professional software development experience. Strong More ❯
Azure Event Hubs). Experience with data visualisation tools (e.g., Tableau, Power BI). Experience with DevOps tools and practices (e.g., Azure DevOps, Jenkins, Docker, Kubernetes). Experience working in a financial services or economic data environment. Azure certifications related to data engineering (e.g., Azure Data Engineer Associate). More ❯
Azure Event Hubs). Experience with data visualisation tools (e.g., Tableau, Power BI). Experience with DevOps tools and practices (e.g., Azure DevOps, Jenkins, Docker, Kubernetes). Experience working in a financial services or economic data environment. Azure certifications related to data engineering (e.g., Azure Data Engineer Associate). More ❯
MuleSoft. Middleware: Red Hat Fuse or Kafka for asynchronous communication. Cloud Technologies: Providers: AWS (EC2, Lambda), Azure (AKS), or Google Cloud (BigQuery). Containers: Docker, Kubernetes for scalable deployments. Serverless: AWS Lambda or Azure Functions. DevOps and Automation: CI/CD: Jenkins, GitLab CI/CD, or CircleCI. IaC: Terraform More ❯
MuleSoft. Middleware: Red Hat Fuse or Kafka for asynchronous communication. Cloud Technologies: Providers: AWS (EC2, Lambda), Azure (AKS), or Google Cloud (BigQuery). Containers: Docker, Kubernetes for scalable deployments. Serverless: AWS Lambda or Azure Functions. DevOps and Automation: CI/CD: Jenkins, GitLab CI/CD, or CircleCI. IaC: Terraform More ❯
improvements is required to ensure the stability and evolution of our platforms. Our Technology Stack:Java (primarily using Spring Boot), MySQL, Postgres (with Liquibase), Docker, AWS (e.g., ECS, S3, CloudWatch), Retool, Jenkins or GitHub Actions for CI/CD pipelines, Python for certain microservices or data-related tasks Who You More ❯
oriented language, e.g. Java, Go or Python Developing of RESTful API services & understanding of API Gateways (e.g. APIGEE) Building applications utilising container technologies e.g. Docker Managing application deployed to Kubernetes clusters, Istio & Helm Cloud: GCP, GKE, IaC (Terraform) Build Tools & DevOps principles: Git, Maven, Jenkins CI/CD, Nexus, SonarQube More ❯
