10 of 10 Permanent Amazon CloudWatch Jobs in Central London

infrastructure engineering role. Strong hands-on experience with Docker and Docker Swarm in a production environment. Proficiency with core AWS services: EC2, S3, CloudWatch, IAM, ELB, ECS/Fargate, and RDS. Solid understanding of Linux server environments, command-line operations, and scripting. Experience in supporting real-time or mission ...

with streaming and real‐time data (Kafka, Kinesis or similar). Familiarity with infrastructure‐as‐code (CloudFormation, CDK, Terraform) and observability tooling (Grafana, Prometheus, CloudWatch). What’s on offer Competitive base salary up to £140,000, depending on experience. Performance‐related bonus and comprehensive benefits package. Hybrid working ...

methodologies and exposure to BDD methods Banking/Financial services domains experience Highly Desirable Experienced with any of the following: Cloud technologies AWS modules: CloudWatch (logging), Athena, EC2, Lambda, storage (S3, EBS), databases (RDS, DynamoDB) stream-processing platform: Kafka, webhook, protos Docker and Kubernetes (nice to have ...

Shell scripts. Harden Security: Deploy advanced perimeter defenses using WAFv2, Network Firewall, and Firewall Manager. Optimize & Monitor: Maintain deep observability and cost efficiency using CloudWatch, Datadog, and CloudTrail. Govern Identity: Enforce strict least-privilege access across the platform via expert IAM management. Essential Skills Expert knowledge of VPC components ...

Airflow. Experience with model registries and experiment tracking platforms (MLflow preferred). Experience deploying and operating ML workloads on AWS (Batch, EC2, S3, IAM, CloudWatch). Solid understanding of the ML lifecycle: training, evaluation, deployment, monitoring, and retraining. Experience with containerisation (Docker) and infrastructure-as-code. Proficiency with ...

experience with Java concurrency, streams, and performance tuning Cloud & Infrastructure AWS services including EC2, ECS/EKS, S3, RDS and/or DynamoDB, and CloudWatch Docker and containerized deployments CI/CD pipelines and Git‐based workflows Experience designing systems for scalability, resilience, and operability Testing & Engineering Practices Strong ...

configuration management, and deployment processes using scripting (Bash, Python) and automation tools. Monitoring, Observability & Reliability: • Implement comprehensive monitoring, logging, and alerting systems (Prometheus, Grafana, CloudWatch, Datadog, Sentry) to ensure system reliability and rapid incident response. • Establish SLOs/SLIs and implement observability best practices to maintain high availability … model deployment workflows (AWS Sagemaker, Lambda, containerized deployments) • Proficiency in scripting and automation (Python, Bash, Go) • Strong experience with monitoring and observability tools (CloudWatch, Prometheus, Grafana, Datadog, Sentry, New Relic) • Experience with database administration and optimization across SQL, NoSQL, vector databases (Pinecone, FAISS), and graph databases (Neo4j) • Knowledge ...

services you will get to use include: EC2, DynamoDB, Elastic Beanstalk, Route 53, Lambda, Cloudfront, AWS Firewall Manager, Terraform, Certificate Manager, Cloudwatch, CloudTrail and SNS/SQS. Requirements: - AWS experience - Cisco and Juniper switches/firewalls - Linux based servers or similar Apply: Kristian AT enterpriserecruitment DOT com Position: DevOps ...

influencing technical direction Experience in financial services or a data-heavy B2B environment is a plus 🛠 Tech Stack: Node.js , Python , AWS (Lambda, DynamoDB, CloudWatch, CloudFormation), PostgreSQL, Elasticsearch, Terraform 📍 Location: Hybrid, based in London (Victoria) — flexible home/office split Please apply ...

Implement serverless inference with Lambda & API Gateway Utilise S3, Glue, Athena for data processing Implement CI/CD for ML workflows Monitor performance via CloudWatch and drift detection tooling Optimise inference cost and latency 🔁 Productionisation & MLOps Build reproducible ML pipelines Implement model versioning and dataset tracking Design structured output … algorithms Feature engineering Experiment design & evaluation AWS ML Stack SageMaker (training, endpoints, pipelines) Bedrock (foundation models incl. Claude) Lambda (serverless inference) S3, Glue, Athena CloudWatch IAM & security best practices AI-Native Tooling Foundation models for reasoning workflows Code-generation tooling for automation scripting Agent orchestration frameworks Enterprise workflow automation ...