651 to 675 of 4,433 AWS Jobs

GitOps workflows. AI & Agentic Infrastructure: Implement the data pipelines, workflow orchestrations, and specialised compute footprints needed to support enterprise AI applications, using technologies like AWS Bedrock and AWS AgentCore. Observability & Reliability: Build robust monitoring and observability pipelines to ensure the health, performance, and security of distributed cloud applications … orchestration, connecting enterprise API integrations, and implementing agentic guardrails. Data Engineering (30%): Practical experience implementing components of data pipelines, including real-time streaming tools (AWS Kinesis, Kafka), data orchestration (dbt, Airflow), and managing vector databases for RAG architectures. Observability & Cost Management: SRE/Platform experience with the practical application ...

GitOps workflows. AI & Agentic Infrastructure: Implement the data pipelines, workflow orchestrations, and specialised compute footprints needed to support enterprise AI applications, using technologies like AWS Bedrock and AWS AgentCore. Observability & Reliability: Build robust monitoring and observability pipelines to ensure the health, performance, and security of distributed cloud applications … orchestration, connecting enterprise API integrations, and implementing agentic guardrails. Data Engineering (30%): Practical experience implementing components of data pipelines, including real-time streaming tools (AWS Kinesis, Kafka), data orchestration (dbt, Airflow), and managing vector databases for RAG architectures. Observability & Cost Management: SRE/Platform experience with the practical application ...

GitOps workflows. AI & Agentic Infrastructure: Implement the data pipelines, workflow orchestrations, and specialised compute footprints needed to support enterprise AI applications, using technologies like AWS Bedrock and AWS AgentCore. Observability & Reliability: Build robust monitoring and observability pipelines to ensure the health, performance, and security of distributed cloud applications … orchestration, connecting enterprise API integrations, and implementing agentic guardrails. Data Engineering (30%): Practical experience implementing components of data pipelines, including real-time streaming tools (AWS Kinesis, Kafka), data orchestration (dbt, Airflow), and managing vector databases for RAG architectures. Observability & Cost Management: SRE/Platform experience with the practical application ...

GitOps workflows. AI & Agentic Infrastructure: Implement the data pipelines, workflow orchestrations, and specialised compute footprints needed to support enterprise AI applications, using technologies like AWS Bedrock and AWS AgentCore. Observability & Reliability: Build robust monitoring and observability pipelines to ensure the health, performance, and security of distributed cloud applications … orchestration, connecting enterprise API integrations, and implementing agentic guardrails. Data Engineering (30%): Practical experience implementing components of data pipelines, including real-time streaming tools (AWS Kinesis, Kafka), data orchestration (dbt, Airflow), and managing vector databases for RAG architectures. Observability & Cost Management: SRE/Platform experience with the practical application ...

Redis, background workers, and asynchronous processing. Hands-on experience with Docker, Kubernetes, and CI/CD pipelines. Experience working with cloud platforms (Azure preferred, AWS or GCP also considered). Strong Git workflows and collaborative software development practices. Passion for building high-quality products in fast-paced environments. Nice ...

degree in computer science, similar technical field of study, or equivalent practical experience 3+ years of hands on experience with large cloud providers; AWS preferred, other cloud experience considered. Proficiency in Infrastructure as Code (IaC) tools like Terraform, Ansible or SaltStack. 3+ years of hands-on experience with containerization … intelligence, IAM, key management systems, data security, application security, applied cryptography, certificate management. Experience of IoT systems integration, protocols, and services, including MQTT and AWS IoT Core. Experience in troubleshooting incidents and live environments. Networking concepts and network performance modelling/optimisation. Understand the basic concepts of AI agent automation ...

leading enterprise integration platforms (e.g., MuleSoft, Boomi, Informatica, SnapLogic, Workato, or similar iPaaS/ESB solutions). Strong working knowledge of major cloud platforms (AWS, Azure, or GCP) and related cloud-native integration services (e.g., AWS SQS/SNS, Azure Service Bus, Pub/Sub); Experience with CI/ ...

leading enterprise integration platforms (e.g., MuleSoft, Boomi, Informatica, SnapLogic, Workato, or similar iPaaS/ESB solutions). Strong working knowledge of major cloud platforms (AWS, Azure, or GCP) and related cloud-native integration services (e.g., AWS SQS/SNS, Azure Service Bus, Pub/Sub); Experience with CI/ ...

leading enterprise integration platforms (e.g., MuleSoft, Boomi, Informatica, SnapLogic, Workato, or similar iPaaS/ESB solutions). Strong working knowledge of major cloud platforms (AWS, Azure, or GCP) and related cloud-native integration services (e.g., AWS SQS/SNS, Azure Service Bus, Pub/Sub); Experience with CI/ ...

leading LLM providers (Anthropic Claude, OpenAI, etc.) Strong Python development skills and proficiency with AI coding assistants (Cursor, GitHub Copilot, Claude) Production experience with AWS cloud services and familiarity with containerization (Docker, Kubernetes) Solid understanding of ML fundamentals, model evaluation, and performance optimisation Good communication skills with ability to collaborate ...

implementation Experience with database systems (SQL and NoSQL) Familiarity with containerization technologies like Docker and orchestration tools Experience working with cloud platforms such as AWS, GCP or Azure Solid understanding of software engineering best practices including testing, code reviews, and CI/CD pipelines Excellent problem-solving skills ...

queues, and stream processing. Experience with PostgreSQL (or similar relational databases) and data‐intensive workloads. Experience running services on a major cloud provider (e.g. AWS, GCP) and with containerisation/orchestration (e.g. Docker, Kubernetes). Exposure to regulated or high‐assurance environments and the constraints they introduce. Benefits Opportunity ...

programming languages (right tool for the job mentality) Work with databases (Postgres, MySQL, MongoDB) Work with (and learn around) cloud platforms such as AWS, GCP and/or azure Debug in a range of systems Work on your own self-development - we value keen learners Have a drive to deliver ...

JavaScript, Typescript, React, NodeJS, GraphQL, Docker. Experience of NoSQL or RDMS databases. Knowledge of modern CI/CD and DevOps practices. Experience working with AWS cloud services (e.g. ECS/EKS, Lambda, S3, RDS, API Gateway). Knowledge of BDD/TDD. Experience working in Agile/Scrum delivery environments. ...

APIs at scale. Hands‐on experience with real‐time data processing frameworks (e.g. Kafka, Flink, Spark Streaming, Pulsar). Experience working with cloud platforms (AWS, GCP, or Azure) and containerisation/orchestration (Docker, Kubernetes). Strong understanding of data modelling, storage systems, and streaming/processing architectures. Familiarity with ...

. Expertise in resilience mechanisms and performance tuning to ensure system stability and efficiency at scale. Proficiency in managing cloud infrastructure and services (e.g., AWS, Kubernetes/EKS) and implementing DevOps best practices using CI/CD tools like GitHub Actions, Octopus Deploy, and Terraform. Strong leadership and cross‐team ...

What we're looking for Experience working with Iress Xplan Strong software engineering background Commercial experience with Java and/or Python Experience with AWS or Azure API and systems integration experience Strong understanding of software engineering best practices Experience within Wealth Management, Financial Planning or Financial Services Nice ...

preferred). Hands‐on experience with GCP Vertex AI (model endpoints, pipelines, embeddings, vector search) or equivalent cloud‐native AI/ML platforms (e.g. AWS SageMaker, AzureML) and agent orchestration frameworks (e.g. LangChain, LangGraph, ADK). Solid understanding of MLOps – CI/CD, IaC (Terraform), experiment tracking, model registry ...

Microservices REST API development SQL and database design Oracle experience Unix or Linux JUnit and automated testing Git version control Kafka or RabbitMQ (desirable) AWS, Azure or GCP exposure (desirable) CI/CD and DevOps practices Excellent communication skills Experience mentoring developers and leading technical initiatives McGregor Boyall ...

core ecosystem revolves around: Modern Python for backend services and data processing. Cloud-native serverless compute and managed workflow orchestrators. We operate across both AWS and GCP. Deep expertise in either is welcome, with opportunities to cross-train on the other. Serverless NoSQL, Object Storage, and Serverless Analytics ...

Kubernetes, and we'll support you getting up to speed. You've worked hands-on with a major cloud provider (GCP is a bonus, AWS or Azure transfer fine), used Infrastructure as Code like Terraform (even if someone else set it up), and deployed to Kubernetes, serverless, or both. ...

Java) particularly using functional programming principles Possess a strong testing mindset with experience in TDD and CI/CD practices. Are experienced with AWS and infrastructure as code (e.g., Terraform). Have knowledge of event-driven architecture and API design. Feel confident to jump into different aspects of our code … from you. Our Stack Languages & Frameworks Scala, Kotlin, Typescript, Python Http4s, Http4k, Circe, Cats, Cats-Effect, Doobie, React, Exposed Testing Specs2, ScalaCheck Infrastructure & DevOps AWS (EKS, Lambda, RDS/Postgres, DynamoDB, SQS, Kinesis, S3, Cognito, Route53, VPC, EC2) Terraform, Kubernetes, Helm, Ansible, Puppet GitLab CI Observability & Data Prometheus, Grafana, OpenSearch ...

Strong hands‐on knowledge of Databricks including Lakehouse Architecture, Delta Lake, Unity Catalog, and platform governance Experience with cloud platforms supporting Databricks environments, including AWS and/or Azure Solid understanding of enterprise integration patterns, data architecture, API ecosystems, and data governance controls Familiarity with infrastructure, security, networking, and platform … cloud operating models Certifications (Preferred) TOGAF Certification or equivalent Enterprise Architecture certification Databricks Certified Data Engineer Professional and/or Databricks Certified Architect AWS or Microsoft Azure Architecture certifications Relevant security, governance, or cloud platform certifications Location London, United Kingdom (Hybrid – London/Remote) Security Clearance: SC Clearance required ...

Kubernetes). In-depth knowledge of Linux operating systems, focusing on Debian and RHEL/CentOS. Cloud service providers such as Google Cloud Platform, AWS (knowledge of other platforms such as Azure would also be beneficial). Infrastructure as Code best practises (Terraform). Configuration Management (e.g. Ansible, Puppet, Packer ...

production systems. Build and maintain containerized, orchestrated infrastructure (Docker, Kubernetes) with CI/CD pipelines. Deploy and manage applications on cloud infrastructure (Azure preferred; AWS/GCP acceptable). Implement background workers/task queues (Celery, RQ) and use Redis in production. Collaborate in Git-based workflows with daily standups … titles consistently labeled "Developer" rather than "Engineer". Lack production experience with React/Next.js and Python. Core Stack: React, Next.js, Python, Django, FastAPI, AWS, GCP, Azure, Docker, Kubernetes, CI/CD pipelines, Redis, Celery, RQ, Git. #J-18808-Ljbffr ...