151 to 175 of 309 Remote Amazon CloudWatch Jobs

data science and MLOps/LLMOps workflows. Collaborate with Data Scientists to deploy, serve, and monitor LLMs in real-time and batch environments using Amazon SageMaker , Bedrock Implement Infrastructure-as-Code with AWS CDK , CloudFormation to provision and manage cloud environments. Build and maintain CI/CD pipelines using … GitHub Actions , AWS CodePipeline , CodeBuild , Jenkins . Integrate monitoring and observability tools such as AWS CloudWatch, Prometheus , Grafana for infrastructure and model health tracking. Ensure software quality through Test-Driven Development (TDD) , unit testing frameworks (e.g., pytest , unittest ), and automated integration tests. Conduct regular code reviews, participate in pair … strong focus on building and delivering scalable infrastructure for ML and AI applications using Python and cloud native technologies Experience with cloud services, especially Amazon Web Services (AWS) - SageMaker, Bedrock, S3, EC2, Lambda, IAM, VPC, ECS/EKS. Proficiency in Infrastructure-as-Code using AWS CDK or CloudFormation . More ❯

knowledge-sharing sessions and supporting issue resolution. Skills Strong grounding in SRE principles and operational best practices. Proficient with observability tools (Prometheus, Grafana, OTEL, Cloudwatch) and telemetry pipelines. Solid programming skills in Python and/or Go; Java experience a plus. Hands-on AWS expertise (EKS, SQS, RDS, EC2 … Lambda, Cloudwatch, etc.). Strong Linux and networking fundamentals (TCP, DNS, TLS, HTTP). Familiarity with IaC (Terraform), CI/CD (GitHub Actions, Jenkins), and Agile workflows. Experience with containerisation (Docker, Kubernetes) and stream processing (Kafka a plus). Benefits Annual Bonus (10%) 30 days holiday + bank holidays More ❯

workflows across the organisation. Drive strategy and execution for deploying, serving, and monitoring large language models (LLMs) in real-time and batch environments using Amazon SageMaker, Bedrock, and related services. Guide the use of Infrastructure-as-Code (IaC) practices with AWS CDK and CloudFormation to provision and manage secure … CodePipeline, Jenkins, and other tools, with an emphasis on reliability, reusability, and performance. Contribute to the design and integration of monitoring and observability solutions (CloudWatch, Prometheus, Grafana) to ensure infrastructure and model health. Champion software engineering excellence through Test-Driven Development (TDD), rigorous test automation, and continuous quality assurance More ❯

workflows across the organisation. Drive strategy and execution for deploying, serving, and monitoring large language models (LLMs) in real-time and batch environments using Amazon SageMaker, Bedrock, and related services. Guide the use of Infrastructure-as-Code (IaC) practices with AWS CDK and CloudFormation to provision and manage secure … CodePipeline, Jenkins, and other tools, with an emphasis on reliability, reusability, and performance. Contribute to the design and integration of monitoring and observability solutions (CloudWatch, Prometheus, Grafana) to ensure infrastructure and model health. Champion software engineering excellence through Test-Driven Development (TDD), rigorous test automation, and continuous quality assurance More ❯

workflows across the organisation. Drive strategy and execution for deploying, serving, and monitoring large language models (LLMs) in real-time and batch environments using Amazon SageMaker, Bedrock, and related services. Guide the use of Infrastructure-as-Code (IaC) practices with AWS CDK and CloudFormation to provision and manage secure … CodePipeline, Jenkins, and other tools, with an emphasis on reliability, reusability, and performance. Contribute to the design and integration of monitoring and observability solutions (CloudWatch, Prometheus, Grafana) to ensure infrastructure and model health. Champion software engineering excellence through Test-Driven Development (TDD), rigorous test automation, and continuous quality assurance More ❯

workflows across the organisation. Drive strategy and execution for deploying, serving, and monitoring large language models (LLMs) in real-time and batch environments using Amazon SageMaker, Bedrock, and related services. Guide the use of Infrastructure-as-Code (IaC) practices with AWS CDK and CloudFormation to provision and manage secure … CodePipeline, Jenkins, and other tools, with an emphasis on reliability, reusability, and performance. Contribute to the design and integration of monitoring and observability solutions (CloudWatch, Prometheus, Grafana) to ensure infrastructure and model health. Champion software engineering excellence through Test-Driven Development (TDD), rigorous test automation, and continuous quality assurance More ❯

workflows across the organisation. Drive strategy and execution for deploying, serving, and monitoring large language models (LLMs) in real-time and batch environments using Amazon SageMaker, Bedrock, and related services. Guide the use of Infrastructure-as-Code (IaC) practices with AWS CDK and CloudFormation to provision and manage secure … CodePipeline, Jenkins, and other tools, with an emphasis on reliability, reusability, and performance. Contribute to the design and integration of monitoring and observability solutions (CloudWatch, Prometheus, Grafana) to ensure infrastructure and model health. Champion software engineering excellence through Test-Driven Development (TDD), rigorous test automation, and continuous quality assurance More ❯

workflows across the organisation. Drive strategy and execution for deploying, serving, and monitoring large language models (LLMs) in real-time and batch environments using Amazon SageMaker, Bedrock, and related services. Guide the use of Infrastructure-as-Code (IaC) practices with AWS CDK and CloudFormation to provision and manage secure … CodePipeline, Jenkins, and other tools, with an emphasis on reliability, reusability, and performance. Contribute to the design and integration of monitoring and observability solutions (CloudWatch, Prometheus, Grafana) to ensure infrastructure and model health. Champion software engineering excellence through Test-Driven Development (TDD), rigorous test automation, and continuous quality assurance More ❯

best practices in cloud environments. Scripting or automation experience (PowerShell, Bash, or Python). Familiarity with monitoring and logging tools such as Azure Monitor, CloudWatch, or Datadog. Understanding of IT governance, compliance, and risk management within financial services. Desirable Qualifications: Relevant cloud certifications (e.g., Microsoft Certified: Azure Solutions Architect More ❯

Open JDK, Springboot, Camunda, Keycloak, RDS/Postgres, Jira/Confluence, Kafka technologies Hands-on Infrastructure provisioning and maintenance of AWS (ECS/Fargate, Cloudwatch, etc), Github, Terraform/Terragrunt, CI/CD, Jenkins Technical application design using Microservices based architecture, PaaS, SaaS, DDD, GDS Design System, Technology Code More ❯

Languages: Python (Boto3 & Moto), Java, React. AWS Technologies: Lambda, S3, Step Functions, Kinesis/Kafka, SNS/SQS, GraphQL, RDS/Aurora, Redshift, IAM, CloudWatch/CloudTrail, CloudFormation, API Gateway. Qualifications At least five years of relevant work experience, including two years of development. Undergraduate degree or equivalent experience More ❯

Kafka) and event-driven microservices architecture Proficiency in Infrastructure as Code tools (Terraform, AWS CloudFormation) Experience with observability and monitoring tools (Prometheus, Grafana, AWS CloudWatch) Familiarity with data streaming frameworks such as Kafka Streams, Flink, or Spark Streaming Knowledge of security best practices , including IAM, encryption, and role-based More ❯

Deploy and manage containerised services using Docker Drive best practices in DevOps, security, and agile delivery Tech Stack: AWS (EC2, ECS, RDS, S3, IAM, CloudWatch, VPC, etc.) Terraform, Vagrant for infrastructure provisioning Jenkins, Git, Jira, Confluence, ServiceNow Linux (Amazon Linux 2023), Docker Monitoring: Prometheus, Grafana This is an More ❯

on AWS while streamlining DevOps practices across our teams. Requirements Key Responsibilities Design, implement, and manage AWS cloud infrastructure (EC2, VPC, IAM, RDS, S3, CloudWatch, etc.). Maintain and optimize CI/CD pipelines using tools like GitHub Actions, Jenkins, or AWS Code Pipeline. Perform system administration tasks for … TCP/IP, VPN, firewalls). Knowledge of containerization technologies (Docker, ECS, EKS, or Kubernetes). Experience with monitoring/logging tools such as CloudWatch, ELK Stack, Prometheus/Grafana. Excellent problem-solving skills and the ability to work independently. Preferred Qualifications AWS Certified SysOps Administrator/DevOps Engineer … hosted on AWS while streamlining DevOps practices across our teams. Key Responsibilities • Design, implement, and manage AWS cloud infrastructure (EC2, VPC, IAM, RDS, S3, CloudWatch, etc.). • Maintain and optimize CI/CD pipelines using tools like GitHub Actions, Jenkins, or AWS Code Pipeline. • Perform system administration tasks for More ❯

on AWS while streamlining DevOps practices across our teams. Requirements Key Responsibilities Design, implement, and manage AWS cloud infrastructure (EC2, VPC, IAM, RDS, S3, CloudWatch, etc.). Maintain and optimize CI/CD pipelines using tools like GitHub Actions, Jenkins, or AWS Code Pipeline. Perform system administration tasks for … TCP/IP, VPN, firewalls). Knowledge of containerization technologies (Docker, ECS, EKS, or Kubernetes). Experience with monitoring/logging tools such as CloudWatch, ELK Stack, Prometheus/Grafana. Excellent problem-solving skills and the ability to work independently. Preferred Qualifications AWS Certified SysOps Administrator/DevOps Engineer More ❯

an ability to work with both technical and non-technical stakeholders.//Proven experience with AWS services (e.g. S3, Redshift, Lambda, ECS, Eventbridge, CloudWatch, Athena etc.).//Proficient in Python & SQL.//Experience with Terraform to manage IaC.//Strong understanding of data engineering More ❯

technology (no experience necessary!) Experience with Kubernetes, AWS, CI/CD pipelines (CodeBuild, CodePipeline, Spinnaker, Github Actions) Familiar with log collection frameworks (NewRelic, ELK, Cloudwatch) Experience with Terraform or CloudFormation Understanding of threat modeling and secure system architecture Knowledge of high-performance networking, load balancers, VPC setup Proficient in More ❯

technology (no experience necessary!) Experience with Kubernetes, AWS, CI/CD pipelines (CodeBuild, CodePipeline, Spinnaker, Github Actions) Familiar with log collection frameworks (NewRelic, ELK, Cloudwatch) Experience with Terraform or CloudFormation Understanding of threat modeling and secure system architecture Knowledge of high-performance networking, load balancers, VPC setup Proficient in More ❯

and transforming data for CRM delivery. Migrating R-based data streams into modern Airflow-managed Python/DBT pipelines. Ensuring observability and reliability using CloudWatch and automated monitoring. Supporting both BAU and new feature development within the data engineering function. KEY SKILLS AND REQUIREMENTS Proven experience with AWS services More ❯

usage of GitHub, Bitbucket or Subversion; DevOps, Jenkins Software Development Life Cycle (SDLC): Monitoring and logging techniques AWS Core Services: AWS Services such as CloudWatch, Code-Deploy More ❯

Framework, Landing Zone, or similar deployments AWS Cloudformation, Stacks, CI/CD Pipelines, VPC/Networking, State Machines, EC2, S3, Athena, Redshift, CloudTrail, Config, CloudWatch, AWS GuardDuty, IAM/SSO/RBAC Understanding of OSI model and common networking practices (routing, subnetting, VLAN, BGP) Comfort with common system administration More ❯

modern JavaScript tools and cloud infrastructure. The current stack includes: TypeScript, Node.js, React, and GraphQL MongoDB Atlas AWS-based infrastructure using ECS, Lambda, and CloudWatch CI/CD pipelines with GitHub Actions, Terraform, and IaC Testing via Cypress (E2E), Jest/Vitest (unit) Observability with tools like Sentry, Datadog More ❯

modern JavaScript tools and cloud infrastructure. The current stack includes: TypeScript, Node.js, React, and GraphQL MongoDB Atlas AWS-based infrastructure using ECS, Lambda, and CloudWatch CI/CD pipelines with GitHub Actions, Terraform, and IaC Testing via Cypress (E2E), Jest/Vitest (unit) Observability with tools like Sentry, Datadog More ❯

AWS Experience with CI/CD pipelines; preferably CodeBuild, CodePipeline, Spinnaker, and Github Actions Have worked with log collection frameworks; preferably NewRelic, ELK, and Cloudwatch Experience with Terraform or Cloudformation Solid understanding of threat modeling and secure system architecture Experience with high performance networking, application load balancers, and VPC More ❯

modern JavaScript tools and cloud infrastructure. The current stack includes: TypeScript, Node.js, React, and GraphQL MongoDB Atlas AWS-based infrastructure using ECS, Lambda, and CloudWatch CI/CD pipelines with GitHub Actions, Terraform, and IaC Testing via Cypress (E2E), Jest/Vitest (unit) Observability with tools like Sentry, Datadog More ❯