426 to 450 of 1,260 Permanent Event-Driven Jobs

focus on agentic AI.Core engineering stackLanguages: Python, Go, TypeScriptCloud and infrastructure: AWS and/or GCP, KubernetesAPIs and services: REST, gRPCDistributed systems: event-driven architectures, including KafkaAgentic AI and MLCommercial and open-source LLMs integrated into agentic workflowsTooling for agent orchestration, retrieval-augmented generation, vector storage, and evaluationSchema ...

designing and delivering modern architectures, with a strong understanding of scalability, resilience, observability and security• Strong knowledge of integration architecture, including REST APIs, event-driven architecture, messaging, and other synchronous/asynchronous integration patterns• Strong understanding of modern software engineering practices, including DevOps, CI/CD, Infrastructure ...

strong emphasis on agentic AICore engineering stackLanguages: Python, Go, TypeScriptCloud and infrastructure: AWS and/or GCP, KubernetesAPIs and services: REST, gRPCDistributed systems: event-driven architectures, including KafkaAgentic AI and MLCommercial and open-source LLMs integrated into agentic workflowsTooling for agent orchestration, retrieval-augmented generation, vector storage ...

strong emphasis on agentic AICore engineering stackLanguages: Python, Go, TypeScriptCloud and infrastructure: AWS and/or GCP, KubernetesAPIs and services: REST, gRPCDistributed systems: event-driven architectures, including KafkaAgentic AI and MLCommercial and open-source LLMs integrated into agentic workflowsTooling for agent orchestration, retrieval-augmented generation, vector storage ...

Establish and maintain messaging services using Azure Service Bus queues, topics and subscriptions. Implement and support integration patterns, including message routing, orchestration and event-driven architectures. Configure and monitor dead-letter queues and integrate monitoring and alerting capabilities with Azure Monitor. Support API onboarding, configuration and lifecycle management ...

strong emphasis on agentic AICore engineering stackLanguages: Python, Go, TypeScriptCloud and infrastructure: AWS and/or GCP, KubernetesAPIs and services: REST, gRPCDistributed systems: event-driven architectures, including KafkaAgentic AI and MLCommercial and open-source LLMs integrated into agentic workflowsTooling for agent orchestration, retrieval-augmented generation, vector storage ...

large scale project management- Application modernisation patterns and strategies- Containerisation technologies (Docker, Kubernetes, ECS, EKS)- Microservices architecture design and implementation- Serverless computing and event-driven architectures- API design and management- Application refactoring and re-platforming techniques- Cloud-native development practicesPreferred qualification - Experience and technical expertise (design and implementation ...

experience with relational databases (e.g. MS SQL Server, MySQL), including schema design and optimisation. Proficiency in WPF application development. Hands-on experience with event-driven and asynchronous messaging architectures. Experience working with cloud platforms (preferably AWS), including deployment and management of cloud-based services. Strong understanding ...

else's. Production experience on cloud platforms. Azure ideally, but similar experiences on AWS or GCP are just as valuable. Comfort with asynchronous, event-driven systems and the awkward parts that come with them: idempotency, ordering, retries, poison messages, exactly-once as a promise nobody can keep. Security ...

better.Familiarity with OpenTelemetry, logging pipelines, or metrics infrastructure.Experience with SDKs or client library design.Exposure to message queues, streaming systems (Kafka, NATS), or event-driven architectures.CompensationFor roles based in the United States, the typical starting salary range for this position is listed above. In certain locations, such ...

lifecycle. Familiarity with financial market concepts and protocols. Experience with UI component libraries, advanced data grid patterns, and visualization. Experience with microservices and event-driven architectures, including asynchronous workflows and high-frequency updates. Exposure to backend-for-frontend patterns and API design collaboration. Experience operating UIs in regulated ...

security.Champion continuous improvement across architecture, tooling, and engineering processes.WHAT YOU WILL NEEDTechnical ExperienceStrong experience building backend systems using Kotlin or Java.Experience designing distributed, event-driven systems using Kafka or similar messaging technologies.Strong knowledge of PostgreSQL and relational database design.Experience working with Redis or other NoSQL technologies.Deep understanding ...

tooling, and engineering processes. WHAT YOU WILL NEED Technical Experience Strong experience building backend systems using Kotlin or Java . Experience designing distributed, event-driven systems using Kafka or similar messaging technologies. Strong knowledge of PostgreSQL and relational database design. Experience working with Redis or other NoSQL technologies. ...

learn, PyTorch, XGBoost) and cloud-native ML services (SageMaker, Azure ML, Vertex AI). Software Engineering: Production-grade Python services (FastAPI, AWS Lambda, event-driven patterns) and front-end development with React/Next.js, Material UI and SWR. Cloud architecture design capability across major providers; rounded understanding ...

solutionsSkills that will help:Experience within Global Markets or knowledge of structured products/structured notesFamiliarity with workflow orchestration tools (e.g. Camunda) or event-driven architecturesExposure to containerisation and cloud platforms (e.g. OpenShift, Kubernetes)Benefits of working at Bank of America:UKAt Bank of America, we strive ...

Python (Django/FastAPI), TypeScript (Node.js)Frontend: ReactAI: LLMs, RAG pipelines, agent frameworksInfra: Cloud (AWS/GCP), Docker, CI/CD, IaCData: SQL, event‐driven systems, analytics pipelinesAdditional InformationWe embrace flexibility and hybrid work opportunities to support diverse needs and lifestyles, while also valuing inclusive workplace experiences. ...

model deployment, monitoring and optimisation practices. Software Engineering: Strong capability building production‐ready services using Python, SQL and modern engineering practices, including APIs, event‐driven architectures and microservices. Technology Leadership: Experience providing technical leadership across complex, multi‐team deliveries, influencing strategy and enabling high‐quality outcomes. Critical Thinking ...

Expert proficiency in data transformation engines (such as dbt) and scheduling tools (such as Airflow). Stream/Message Queues: Solid understanding of event‐driven architectures and streaming processing via Apache Kafka. Strong Programming Foundations: Proficiency in Python, SQL, or an Object‐Oriented language (Java/Scala). ...

Tech infrastructure: AWS, CDK TypeScript, Lambda, SQS, EventBridge, RDS, DynamoDB Data tooling: GCP, BigQuery, Looker, Looker Studio Observability: Loki, Tempo, Grafana, Prometheus Event‐driven architecture and domain‐driven design Our interviewing process Intro call with the hiring manager Live coding challenge solving a problem A take home ...

Certification (CKA). Terraform Associate/OpenTofu equivalent (when available). Experience with high volume low latency SaaS systems. Experience with distributed and event driven architectures. Experience with Ingress Solutions such as Azure Front Door and API Management. Experience with IAM, Authentication/Authorisation. Degree-educated in Computer ...

schemas (Zod) and contracts that don’t rot. Model data in DynamoDB (access patterns first) and use PostgreSQL when relational fits better. Ship event‐driven workflows with SQS/EventBridge/Step Functions: retries, idempotency, dead‐letters, backpressure. Ensure observability: structured logging (Winston), distributed tracing ...

/zero trust, compute/storage, HA/DR, containers/orchestration, API management, and iPaaS, plus modern engineering patterns such as microservices, event‐driven architecture, and DDD. Operational excellence, observability and AIOps: Translate NFRs into pragmatic architecture decisions, define SLOs/SLIs, and design modern observability (metrics ...

counterpart to ensure alignment with technology and business goals. Making and guiding architecture decisions across REST APIs, message queues, data pipelines, webhooks, and event‐driven workflows. Lead the design and delivery of complex, high‐impact integrations from discovery through production, breaking ambiguous problems into clear technical approaches ...

Platform Architecture & System Design Design and evolve modern cloud-native architectures supporting the credit technology ecosystem. Define architecture standards for distributed systems, APIs, event-driven architectures, and microservices. Drive engineering decisions related to scalability, resiliency, performance, observability, and operational excellence. Evaluate new technologies and architectural patterns to improve … modernization efforts focused on cloud adoption, scalability, resilience, and operational efficiency. Ensure proper observability, monitoring, logging, and operational support across production environments. Integration & Event-Driven Architecture Design and implement API-first architectures and integration frameworks. Leverage messaging platforms, event streaming, and asynchronous processing patterns to support scalable ...

grounding, evaluation, and optimizationModel Lifecycle & Governance: Model evaluation, monitoring, prompt/version control, and Responsible AI/MRM complianceEnterprise AI Integration & DataAPI- and event-driven integration of AI into enterprise workflowsData platforms: Databricks, Spark, Snowflake; streaming via KafkaBackend & Distributed SystemsLanguages: Python (expert), Java/Spring Boot (enterprise standard … plus)Architecture: Microservices, domain-driven design, event-driven systemsAPIs & Integration: REST/gRPC; Apigee, KongData & Messaging: PostgreSQL/Oracle, MongoDB/Cassandra, KafkaCloud & DevSecOpsCloud Platforms: Strong experience with GCP (preferred); working knowledge of AWS; Azure exposure optional (not a dependency)Containers: Docker, Kubernetes (GKE/ ...