26 to 50 of 289 Permanent Event-Driven Jobs

testing frameworks, particularly Jest, and other testing best practices. Desirable Skills required: Experience with infrastructure as code (Terraform, AWS CDK, Serverless Framework, CloudFormation). Knowledge of microservices and event-driven architectures. Exposure to container technologies (Docker, ECS, EKS, Kubernetes). Experience with monitoring and observability tools (CloudWatch, Datadog, OpenTelemetry). More ❯

CD pipelines is advantageous - particularly if you've used tools such as OpenSearch (or Elasticsearch), Amazon MSK/Kafka, or AWS Lambda as part of infrastructure, monitoring, or event-driven architectures. You'll have end-to-end ownership of features. We welcome input on how to improve our systems and ways of working. Achievements: You have the ability More ❯

Dask). Understanding of GPU orchestration and optimization in Kubernetes. Familiarity with MLOps and ML model lifecycle pipelines. Experience with AI model training and fine-tuning. Familiarity with event-driven architecture and messaging frameworks like Kafka. Experience with NoSQL datastores like Cassandra Our benefits To help you stay energized, engaged and inspired, we offer a wide range of More ❯

hold or gain a UK government security clearance. Preferred technical and professional experience Experience with containerization technologies (Docker, Kubernetes). Knowledge of serverless architectures and microservices. Familiarity with event-driven design patterns. Understanding of database systems (SQL, NoSQL). Experience with cloud security best practices Familiarity with UX patterns/best practices and UI design in Figma Front More ❯

Depth in EKS, networking, and IAM/KMS; Lambda and infrastructure-as-code experience • Production experience with OpenSearch/Elasticsearch and observability practices • Kafka operations and performance tuning; event-driven design patterns • Jenkins pipeline authoring, Helm, and automated testing frameworks • Experience integrating model endpoints or retrieval features into applications • Background supporting intelligence or national security programs • A bachelor More ❯

Experience with GitLab, GitLab Runner, CI/CD, Docker, Kubernetes Experience developing RESTful APIs for complex datasets Experience leading projects AWS cloud experience Understanding microservices, client-server architecture, event-driven architecture, domain-driven design (DDD), and other modern architectural styles to build robust and adaptable systems. Experience in large-scale software system architecture, design, and development of More ❯

and integrations Proactive mindset with a continuous improvement attitude, regularly identifying opportunities to enhance delivery pipelines, infrastructure, and development practices Proficiency in designing and managing SNS topics for event-driven architectures, integrating notifications with Lambda, or external systems to support decoupled and scalable cloud workflows Hands-on experience using Atlassian tools such as Jira, Confluence and Bitbucket to More ❯

and integrations Proactive mindset with a continuous improvement attitude, regularly identifying opportunities to enhance delivery pipelines, infrastructure, and development practices Proficiency in designing and managing SNS topics for event-driven architectures, integrating notifications with Lambda, or external systems to support decoupled and scalable cloud workflows Hands-on experience using Atlassian tools such as Jira, Confluence and Bitbucket to More ❯

are not required: AI/ML Expertise : Advanced machine learning knowledge, AI engineering practices, and experience with ML frameworks in production environments Advanced Architecture & DevOps : Deep understanding of event-driven architecture, advanced microservices patterns, SRE principles, and infrastructure as code Strategic & Innovation Experience : Understanding of release cycles, ability to size complex development activities, and experience with proof-of More ❯

technology and AI. YOUR RESPONSIBILITIES Developing complex cloud-native serverless applications Writing and maintaining serverless functions in Typescript and Python Utilising Serverless technology including API management, Serverless functions, Event driven architectures, Serverless databases and document stores Implementing a range of integration patterns, from modern SaaS APIs using GraphQL to traditional FTP based integrations. Applying DevOps principles to empower More ❯

/CD across the SDLC using Harness. Working with large-scale applications where high performance and low latency is a must Using distributed systems, asynchronous programming techniques and event driven architectures. Cloud native solutions (GCP) and integration with SaaS solutions via RESTful APIs. Container technologies (Docker, Kubernetes) and experience with cloud platforms such as GCP.And any experience of More ❯

to lead and mentor engineering teams, drive technical excellence, and promote best practices. Experience designing and implementing robust software architectures, including containerisation (Docker, Kubernetes), infrastructure as code, and event-driven systems. Excellent communication and collaboration skills, with the ability to engage stakeholders, contribute to hiring and bid processes, and foster a culture of continuous improvement. This is a More ❯

Go, Python, Java React Native, Android Apps (Kotlin) AWS PostgreSQL, SQLite Kafka, MQTT Shell scripting REST APIs Docker for both our cloud and edge-device applications Microservice-style, event-driven cloud architecture IoT 'smart' edge devices (using nVidia AI chips) Linux-based embedded OS on our Edge devices Continuous Integration and Delivery using Jenkins, SonarQube Terraform for infrastructure More ❯

.NET, C#, or JavaScript (Node.js). Expertise in cloud platforms like AWS, Azure, or Google Cloud (certifications preferred). Experience with microservices architecture, service-oriented architecture (SOA), and event-driven design. Knowledge of frameworks like Spring Boot, Angular, React, or similar technologies. Strong experience with relational (SQL) and non-relational (NoSQL) databases. Hands-on experience with CI/ More ❯

with Azure AI services (Azure Machine Learning, Azure Cognitive Services) and Model Development and Deployment (ML Flow, Azure ML), container orchestration (Kubernetes, Docker), Machine Learning, MLOps, Microservices and Event-driven architecture Work Authorization: Applicants must be currently authorized to work in the United States on a full-time basis. Sponsorship will not be considered for this specific role. More ❯

modern software engineering practices, clean code, robust testing, and efficient solutions. Technologies We Work With: We embrace modern, cutting-edge technologies to build robust and scalable solutions. Backend: Event-driven microservices in Python and NodeJS (NestJS). Frontend: Monorepo powered by Turbo, pnpm, changesets, and Storybook, primarily using Vue.js. Frameworks/Libraries: Adoption of TypeScript, NestJS, BullMQ, and More ❯

JIRA. Work closely with developers, designers, and product managers to understand requirements and contribute to effective technical solutions. Learn how to design and adapt applications for Azure, exploring event-driven architectures and cloud service capabilities. Begin exploring AI-powered development tools such as GitHub Copilot to enhance productivity and support smarter engineering. About the Candidate The ideal candidate More ❯

JIRA. Work closely with developers, designers, and product managers to understand requirements and contribute to effective technical solutions. Learn how to design and adapt applications for Azure, exploring event-driven architectures and cloud service capabilities. Begin exploring AI-powered development tools such as GitHub Copilot to enhance productivity and support smarter engineering. About the Candidate The ideal candidate More ❯

stack development for cloud solutions using Azure The full stack engineers for Commercial Technology will be proficient in SQL, .NET, Web Services, Azure Cloud, Restful-API/Kafka & event-driven integration capabilities. Excellent verbal and written communication, interpersonal, and analytical skills. Ability to self-learn and quickly understand new and changing technologies in a fast-moving cloud environment. More ❯

Responsibilities • Design implement test and deploy backend services APIs and data processing applications that integrate AI and machine learning models into mission systems. • Engineer reliable data pipelines and event driven architectures including extract transform load processes feature computation and streaming using modern frameworks. • Collaborate with data scientists and machine learning engineers to operationalize models including packaging inference endpoints More ❯

MongoDB, Firestore, SQL Server). Familiarity with CI/CD and infrastructures automation tools (Jenkins/Github Actions/Docker/Terraform). Familiarity with RESTful APIs and event-driven architectures. Knowledge of PCI DSS Compliance. Strong troubleshooting and debugging skills; experience working in production environments. Ability to break down complex problems and communicate them clearly to technical More ❯

deep knowledge in cloud security, you'll shape the backbone of high-impact, secure, and scalable systems. Key Responsibilities: - Design modern cloud-native systems using AWS, microservices, and event-driven architecture. - Lead containerised deployments using Kubernetes and manage Kafka-based real-time data systems. - Ensure cloud environments follow best practices in security, compliance, and performance. - Mentor technical teams More ❯

FastAPI, Flask • Cloud Environments: AWS, Azure • Databases: PostgreSQL, InfluxDB • CI/CD Tools: GitLab CI/CD, Sonarqube • Containerization: Docker, Kubernetes • Monitoring & Logging: Grafana, Prometheus, VictoriaMetrics • Architecture: Microservices, Event-driven Architecture, REST APIs • Testing: Pytest, Cypress, vitest, testify • Messaging: Apache Kafka, AMQP, MQTT This foundation enables the processing of billions of building data points, real-time control, and More ❯

or Enterprise Architecture. 5+ years proven expertise in modern software architectures, containerized environments, and cloud solutions across AWS, Azure, and hybrid infrastructures. 5+ years microservices architecture, APIs, and event-driven systems 5+ years of cloud-native development and container orchestration (Docker, Kubernetes, ECS, AKS, EKS). 5+ years of proficiency in DevSecOps automation, CI/CD pipeline implementation More ❯

platforms Working knowledge of popular API Management platforms such as Apigee Abstracting and providing solutions that are leveraged across many internal engineering solutions Developing and deploying cloud-native, event-driven, serverless applications with a strong preference for AWS Data management including designing performant data stores and access patterns. Proficient with data warehousing, SQL/NoSQL databases, and ETL More ❯