26 to 50 of 503 Remote Amazon CloudWatch Jobs

as Flask or FastAPI. Experience optimising applications for cloud performance, cost-efficiency, and scalability. Hands-on experience with monitoring and logging tools (e.g., AWS CloudWatch, Datadog, ELK stack). An understanding of lean software development principles and practices focused on delivering value quickly. A passion for mentoring and sharing More ❯

hotels worldwide. Our current setup leverages AWS CloudFormation for infrastructure as code, with our infrastructure hosted on AWS services such as EC2, RDS, S3, CloudWatch, Global Accelerator, Lambda, and SQS. We utilize Bitbucket Pipelines for CI/CD, and New Relic and Sentry for observability. Your mission, should you More ❯

workflows. Collaboration: Work closely with cross-functional teams (Development, Operations, and Security) to streamline processes and improve system reliability. Performance & Security: Implement robust monitoring (CloudWatch, Prometheus) and ensure systems are secure, compliant, and optimized for performance. Cost Management: Work on cost-efficient infrastructure strategies without compromising performance. What's 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. Strong Linux and networking fundamentals (TCP, DNS, TLS More ❯

Understanding of CI/CD pipelines. Excellent communication and teamwork abilities. Nice to Have: Experience with microservices architecture. Knowledge of additional AWS services (ElastiCache, CloudWatch, etc.). Familiarity with Elasticsearch or similar search engines. Experience with performance optimization and monitoring tools. DevOps experience and infrastructure as code (Terraform, CloudFormation More ❯

solving challenging problems in a rapidly evolving environment Tech We Use Cloud: AWS (ECS, RDS, Lambda, S3, etc.) CI/CD: GitHub Actions Monitoring: CloudWatch, Sentry, Honeycomb Containers: Docker Languages: TypeScript/Python environments What We Offer Competitive salary and meaningful equity in a growing startup Flexible, remote-first More ❯

development of secure, scalable Python applications within agile delivery squads. Design and implement event-driven, serverless architectures using technologies like AWS Lambda, DynamoDB, EventBridge, CloudWatch, and CloudFormation. Build high-performance RESTful APIs, microservices, and backend systems aligned with modern engineering standards. Collaborate closely with UX designers, researchers, and frontend More ❯

with containers and container orchestration tools such as Docker and Kubernetes Observability champion, experience of designing and building monitoring and logging tools such as CloudWatch, ELK, and Grafana Programming skills in at least one language, preferably Python or Go Experience with CI/CD pipeline development and management Best More ❯

Infrastructure as Code for configuration management and code implementation - Terraform etc. Experience setting up and using monitoring and alerting tools such as Dynatrace, Grafana, Cloudwatch etc. Experience using Configuration management tools like Puppet, Ansible, Packer, Chef. Experience with various testing tooling - Selenium, Cucumber etc Experience in scripting - bash/ More ❯

Infrastructure as Code for configuration management and code implementation - Terraform etc. Experience setting up and using monitoring and alerting tools such as Dynatrace, Grafana, Cloudwatch etc. Experience using Configuration management tools like Puppet, Ansible, Packer, Chef. Experience with various testing tooling - Selenium, Cucumber etc Experience in scripting - bash/ More ❯

Specialty Proven track record of architecting, deploying, and optimizing complex cloud solutions for AI-driven workloads. Generative AI and Cutting-Edge Technologies: Expertise in Amazon Bedrock for deploying foundation models and managing scalable GenAI workloads. Proficiency in fine-tuning and deploying Large Language Models (LLMs) and multimodal AI using … Amazon SageMaker JumpStart and Hugging Face on AWS. Experience leveraging Amazon Q (formerly AWS CodeWhisperer) Business and Developer for AI-powered coding productivity and automation. Machine Learning Frameworks and Pipelines: In-depth knowledge of Amazon SageMaker, including Pipelines, Model Monitor, Data Wrangler, and SageMaker Clarify for bias … model training with multi-GPU clusters and optimization for high-performance inference. Data Engineering and AI Workflow Optimization: Proficient in building data pipelines with Amazon S3, AWS Glue, Lake Formation, and Redshift for AI and ML workloads. Experienced in optimizing data preparation for large-scale AI model training and More ❯

Specialty Proven track record of architecting, deploying, and optimizing complex cloud solutions for AI-driven workloads. Generative AI and Cutting-Edge Technologies: Expertise in Amazon Bedrock for deploying foundation models and managing scalable GenAI workloads. Proficiency in fine-tuning and deploying Large Language Models (LLMs) and multimodal AI using … Amazon SageMaker JumpStart and Hugging Face on AWS. Experience leveraging Amazon Q (formerly AWS CodeWhisperer) Business and Developer for AI-powered coding productivity and automation. Machine Learning Frameworks and Pipelines: In-depth knowledge of Amazon SageMaker, including Pipelines, Model Monitor, Data Wrangler, and SageMaker Clarify for bias … model training with multi-GPU clusters and optimization for high-performance inference. Data Engineering and AI Workflow Optimization: Proficient in building data pipelines with Amazon S3, AWS Glue, Lake Formation, and Redshift for AI and ML workloads. Experienced in optimizing data preparation for large-scale AI model training and More ❯

/CD pipelines and automation tooling. Background in containerisation and orchestration – e.g., Docker, Kubernetes. Familiarity with monitoring, alerting, and observability tools (e.g., Prometheus, Grafana, CloudWatch). Proven ability to troubleshoot and resolve complex infrastructure issues. Experience working in cross-functional engineering teams, ideally in a DevOps or SRE capacity. More ❯

This should include Networking components such as VPCs, NACLs, SecurityGroups, DX, VPN, TransitGateway, NetworkFirewall, NLB/ALB, and WAF. Logging and alerting components including CloudWatch LogStreams and Alarms, CloudTrail, S3, SNS and EventBridge. Compute and Storage including EC2, ECS, EKS, EBS, EFS, S3 and AWS Backup. Organisational and account More ❯

issues Manage AD, firewall/switch configs, and hardware Tech Stack: Systems: Windows, Linux, AD, GPO, DFS Cloud: AWS (EC2, RDS, S3, IAM, VPC, CloudWatch) Automation: Terraform, Ansible, Vagrant, Shell, Python, PowerShell Monitoring: Grafana, Prometheus Security/Tools: Juniper firewalls, Nexus, Git, Jira, ServiceNow Great chance to work on More ❯

scale, distributed environment - this could be a great next step. What You’ll Be Doing: Managing and improving observability tools like Prometheus, Grafana, and CloudWatch Helping product teams with tracing and monitoring to improve performance and reliability Defining and improving SLIs/SLOs , automating tasks, and reducing operational noise More ❯

scale, distributed environment - this could be a great next step. What You’ll Be Doing: Managing and improving observability tools like Prometheus, Grafana, and CloudWatch Helping product teams with tracing and monitoring to improve performance and reliability Defining and improving SLIs/SLOs , automating tasks, and reducing operational noise More ❯

containerization tools (Docker, Kubernetes, ECS, etc.) Familiarity with CI/CD tools (GitLab CI, Jenkins, GitHub Actions, etc.) Experience with monitoring/logging tools (CloudWatch, Prometheus, ELK, etc.) Scripting skills in Python, Bash, or similar Nice to Have: Cloud certifications (e.g., AWS Certified Solutions Architect, Azure Administrator) Experience with More ❯

containerization tools (Docker, Kubernetes, ECS, etc.) Familiarity with CI/CD tools (GitLab CI, Jenkins, GitHub Actions, etc.) Experience with monitoring/logging tools (CloudWatch, Prometheus, ELK, etc.) Scripting skills in Python, Bash, or similar Nice to Have: Cloud certifications (e.g., AWS Certified Solutions Architect, Azure Administrator) Experience with More ❯

containerization tools (Docker, Kubernetes, ECS, etc.) Familiarity with CI/CD tools (GitLab CI, Jenkins, GitHub Actions, etc.) Experience with monitoring/logging tools (CloudWatch, Prometheus, ELK, etc.) Scripting skills in Python, Bash, or similar Nice to Have: Cloud certifications (e.g., AWS Certified Solutions Architect, Azure Administrator) Experience with More ❯

containerization tools (Docker, Kubernetes, ECS, etc.) Familiarity with CI/CD tools (GitLab CI, Jenkins, GitHub Actions, etc.) Experience with monitoring/logging tools (CloudWatch, Prometheus, ELK, etc.) Scripting skills in Python, Bash, or similar Nice to Have: Cloud certifications (e.g., AWS Certified Solutions Architect, Azure Administrator) Experience with More ❯

containerization tools (Docker, Kubernetes, ECS, etc.) Familiarity with CI/CD tools (GitLab CI, Jenkins, GitHub Actions, etc.) Experience with monitoring/logging tools (CloudWatch, Prometheus, ELK, etc.) Scripting skills in Python, Bash, or similar Nice to Have: Cloud certifications (e.g., AWS Certified Solutions Architect, Azure Administrator) Experience with More ❯

scale, distributed environment - this could be a great next step. What You’ll Be Doing: Managing and improving observability tools like Prometheus, Grafana, and CloudWatch Helping product teams with tracing and monitoring to improve performance and reliability Defining and improving SLIs/SLOs , automating tasks, and reducing operational noise More ❯

containerization tools (Docker, Kubernetes, ECS, etc.) Familiarity with CI/CD tools (GitLab CI, Jenkins, GitHub Actions, etc.) Experience with monitoring/logging tools (CloudWatch, Prometheus, ELK, etc.) Scripting skills in Python, Bash, or similar Nice to Have: Cloud certifications (e.g., AWS Certified Solutions Architect, Azure Administrator) Experience with More ❯

. Experience with GitOps workflows (ArgoCD, similar tools). Solid understanding of CI/CD principles and tools. Experience with observability tools (Prometheus, Grafana, CloudWatch, etc.). Strong scripting skills (Python, Go, Bash). Proficiency with Git and collaborative workflows. Experience with Linux systems and cloud security principles. Knowledge More ❯