22 of 22 Amazon CloudWatch Jobs in Stevenage

understanding of containerisation (e.g., Docker, Kubernetes) and microservices architecture Skilled in using observability and monitoring tools such as Prometheus, Grafana, ELK stack, or AWS CloudWatch Excellent analytical and troubleshooting abilities, especially within complex distributed systems Proven experience handling incident management and conducting blameless postmortems, including leading cross-functional teams More ❯

Cloud-Native & DevOps Collaboration: Partner with AWS and DevOps teams to run distributed tests in cloud-hosted environments using services like EC2, ECS, Lambda, CloudWatch, and ALB. Integrate performance tests into CI/CD pipelines. Strategy & Technical Leadership: Define performance benchmarks, SLAs, and baselines. Translate product and engineering goals 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 ❯

Container Orchestration technologies such as Kubernetes and Docker . Proficiency in monitoring and logging tools including: Datadog , Splunk , Dynatrace , AppDynamics , Prometheus , Grafana , ELK Stack , CloudWatch , Gremlin , ThousandEyes . Experience with Terraform , Jenkins , GitLab CI , PostgreSQL , Redis , and Kong API Gateway . Solid understanding of networking , security best practices , and More ❯

Responsibilities: - Build and maintain Fullstack features across Angular/Node.js with MongoDB - Lead the infrastructure evolution - improving AWS architecture (incl. ECS, EC2, S3, Lambda, CloudWatch) - Own and implement Infrastructure as Code (Terraform preferred) - Improve and maintain CI/CD pipelines to optimise deployment workflows - Develop backend services with observability More ❯

and regulatory standards. Proficiency in AWS ETL technologies, including Glue, Data Sync, DMS, Step Functions, Redshift, DynamoDB, Athena, Lambda, RDS, EC2 and S3 Datalake, CloudWatch for building and optimizing ETL pipelines and data migration workflows. Working knowledge of Azure data engineering tools, including ADF (Azure Data Factory), Azure DB More ❯

and regulatory standards. Proficiency in AWS ETL technologies, including Glue, Data Sync, DMS, Step Functions, Redshift, DynamoDB, Athena, Lambda, RDS, EC2 and S3 Datalake, CloudWatch for building and optimizing ETL pipelines and data migration workflows. Working knowledge of Azure data engineering tools, including ADF (Azure Data Factory), Azure DB More ❯

and Airflow - Experience in designing data pipelines using cloud-native services on AWS - Extensive knowledge of AWS services, including API Gateway, Lambda, Redshift, Glue, CloudWatch, etc. - Experience in deploying AWS resources using Terraform - Hands-on experience in setting up CI/CD workflows using GitHub Actions **Eligibility:** - Must be More ❯

skills with AWS Lambda , DynamoDB , Step Functions Experience with SQS, SNS, S3, EventBridge, API Gateway , and related services Confident with RDBMS (PostgreSQL preferred), IAM , CloudWatch , and Git-based workflows Familiarity with CI/CD pipelines and DevOps best practices. If you're driven by the challenge of architecting robust More ❯

for Lambda functions) SQL (BigQuery, Redshift) R (not essential but beneficial for interpreting existing scripts) Cloud & Infrastructure: AWS services including Lambda, API Gateway, S3, CloudWatch, Kinesis Firehose Terraform for infrastructure as code Orchestration & Transformation: Apache Airflow dbt CRM & Marketing Tools: Braze (preferred) Familiarity with other CRM/marketing automation 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 ❯

about communication, mentorship, and inspiration as much as it is about code. What You Bring Deep experience with Python, Node.js/JavaScript, and AWS (CloudWatch, CloudFormation, serverless, terraform). Mastery of database design—PostgreSQL, DynamoDB, Elasticsearch. Understanding of microservices, agile, TDD, and modern integration patterns. Collaboration with frontend engineers More ❯

servers Experience with test automation, test-driven development (TDD), and Agile delivery methodologies Familiarity with observability and monitoring tools such as AppDynamics, ELK, AWS CloudWatch, AWS X-Ray, etc. Working knowledge of cloud contact centre platforms and tools A strong automation-first mindset and practical experience in CI/ More ❯

engineer, we do need you to know how to work alongside an incredible folks who are, theyll be leveraging tools like New Relic or Cloudwatch to keep performance on point, and work with Docker and Kubernetes This is a primarily Remote role with occasional trips to the office to More ❯

in code reviews Requirements: 5+ years of software engineering experience, with significant hands-on expertise in Python Proven experience building and maintaining systems on Amazon Web Services (AWS) Strong grasp of REST APIs, event-driven architecture, and asynchronous programming Familiarity with containerisation (e.g. Docker) and orchestration (e.g. ECS or … with data engineering tools such as Airflow, Pandas, or Spark Exposure to serverless architectures using AWS Lambda Familiarity with monitoring and logging tools (e.g. CloudWatch, Prometheus) Previous experience working in regulated or high-availability environments Location & Flexibility: This role can be fully remote, with optional visits to a UK More ❯

AWS CodePipeline, CodeBuild, or integration with third-party tools (e.g. Jenkins, GitLab CI). Set up and manage monitoring, alerting, and logging solutions using CloudWatch, CloudTrail, AWS Config and other AWS-native tools. Continuously monitor system performance and proactively implement optimisation strategies. Apply AWS security best practices including managing … years of hands-on experience with AWS Cloud Engineering and/or Operations. Strong expertise with AWS services: EC2, S3, IAM, RDS, Lambda, CloudFormation, CloudWatch, CloudTrail, ECS/EKS, Glue, etc. Experience with Infrastructure as Code tools (Terraform, CloudFormation, AWS CDK etc). Proficiency in scripting languages: Python, Bash More ❯

AWS CodePipeline, CodeBuild, or integration with third-party tools (e.g. Jenkins, GitLab CI). Set up and manage monitoring, alerting, and logging solutions using CloudWatch, CloudTrail, AWS Config and other AWS-native tools. Continuously monitor system performance and proactively implement optimisation strategies. Apply AWS security best practices including managing … years of hands-on experience with AWS Cloud Engineering and/or Operations. Strong expertise with AWS services: EC2, S3, IAM, RDS, Lambda, CloudFormation, CloudWatch, CloudTrail, ECS/EKS, Glue, etc. Experience with Infrastructure as Code tools (Terraform, CloudFormation, AWS CDK etc). Proficiency in scripting languages: Python, Bash More ❯

confident managing cloud infrastructure, especially in AWS Strong experience of CI/CD tools (GitLab, Jenkins, CircleCI, etc.) Proficient with containerisation technologies, specifically Docker, Amazon ECS and ECR Brings expertise in both relational and NoSQL databases (MySQL, MariaDB, MongoDB, DynamoDB) Has experience with search (Elasticsearch) and caching technologies (Redis … Terraform Has a strong understanding of networking (VPCs, SGs etc), firewalls, VPN, and DNS Is familiar with monitoring tools such as Sentry, Grafana and CloudWatch Has experience with version control systems (e.g. GitLab) and best practices for branching, merging, and versioning Has extensive coding experiencing using Python, Javascript, Bash … multiple workstreams and communicate clearly with stakeholders ✨ Bonus points for: Certifications in cloud platforms (AWS Certified DevOps Engineer, Solutions Architect etc) Experience working with Amazon Connect or Kinesis Experience of automated testing frameworks and code quality tools Knowledge of Google Cloud Platform and related services 💛 Why You’ll Love More ❯

deployment and operations. CI/CD Pipeline Development : Build and improve CI/CD pipelines using GitHub Actions to create Docker images, push to Amazon ECR, and automate deployment processes for continuous integration and delivery. Container Orchestration : Work with Docker containers and manage deployments on Amazon ECS, implementing … and maintain Cloudflare services for DNS management, CDN, and DDoS protection to enhance security and performance. Monitoring and Optimization : Implement monitoring solutions using AWS CloudWatch and related tools to ensure system health and performance while optimizing resource utilization. Documentation and Knowledge Sharing : Create and maintain documentation for infrastructure components … and IAM Proficiency with Terraform for infrastructure as code implementation (brief Technical interview will include establishing Terraform proficiency) Experience with containerization using Docker and Amazon ECS Knowledge of AWS security best practices and IAM permission management Experience with version control systems, particularly Git and GitHub Provable scripting skills in More ❯

DevOps teams to ensure our data infrastructure aligns with business needs and industry standards. Your Responsibilities Manage, configure and optimise PostgreSQL databases hosted on Amazon Aurora and Oracle databases hosted on on-premise Exadatas and AWS RDS. Support the migration of high-performance, mission-critical databases from on-premise … frameworks Experience implementing robust backup and recovery strategies. Desirable Proficiency with infrastructure automation tools like Terraform or CloudFormation. Familiarity with monitoring tools such as CloudWatch, Datadog, or similar. Experience of database replication tooling such as AWS DMS and Goldengate. Experience of collaborating with DevOps teams to integrate databases into More ❯

with strong data focus Proficiency in Python and SQL, including performance tuning and data model design Hands-on experience with AWS (Lambda, S3, RDS, CloudWatch) and Snowflake Familiarity with orchestration tools like Airflow, AWS Step Functions, or similar Experience with distributed data processing (e.g. Spark, Kafka, Flink) and event … tools API development for data serving and integration Hands-on knowledge of serverless data processing and pipeline-as-code Monitoring with tools like Honeycomb, CloudWatch, Datadog, or OpenTelemetry You'll Thrive If You Are Someone who prefers momentum over perfection, building small wins that lead to big impact Always More ❯

Position: Javascript Developer - Node, AWS Location: Fully Remote - UK based Salary: Up to £65,000 per annum Type: Permanent, Full-time Industry: Supply Chain AI *Must be UK-based and unfortunately visa sponsorship can not be offered for this position More ❯