CI/CD: Familiarity with DevOps practices for data engineering, including infrastructure-as-code (e.g., Terraform, CloudFormation), CI/CD pipelines, and monitoring (e.g., CloudWatch, Datadog). Familiarity with big data technologies like Apache Spark, Hadoop, or similar. ETL/ELT tools and creating common data sets across on More ❯
including ECS, Kinesis, DynamoDB, and Lambda Proficiency in CI/CD tools, particularly Jenkins and Spinnaker Familiarity with monitoring and observability tools such as CloudWatch and Datadog Strong understanding of security best practices in cloud environments Preferred Qualifications In addition to the required qualifications, the following skills and experiences More ❯
incident resolution and engage with various teams (including 3rd parties) for support escalation. You are a good fit if: You have previously worked with Amazon AWS cloud administration, including services such as: EC2, S3, ELB, RDS, IAM, Route 53, Auto Scaling Groups, Lambda, Cloud Watch, Cloud Formation and Security … clustering. You are comfortable with various logging, monitoring and alerting platforms and have expertise in the usage (and, desirably, the deployment) of e.g. ELK, CloudWatch, Fluentd, to enable forensic log analysis and system tuning as well as data-driven performance analysis (i.e. SLI/SLO) and capacity planning. You More ❯
services (SNS, SQS, EventBridge). Knowledge of GraphQL, WebSockets, or real-time data streaming. Exposure to DevOps and observability practices (e.g., Prometheus, Datadog, AWS CloudWatch, OpenTelemetry). Prior experience in leading distributed engineering teams. Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in More ❯
CI/CD Pipelines (Drone/GitLab) Excellent understanding of Kafka internals, stream processing, and secure Kafka deployments Strong experience across monitoring (Prometheus, Grafana, CloudWatch) Knowledge of security hardening, IAM, WAF, Shield, Vault Working knowledge of Agile, Infrastructure-as-Code, and DevSecOps practices UK*C or Enhanced DV (eDV More ❯
london, south east england, United Kingdom Hybrid / WFH Options
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CI/CD Pipelines (Drone/GitLab) Excellent understanding of Kafka internals, stream processing, and secure Kafka deployments Strong experience across monitoring (Prometheus, Grafana, CloudWatch) Knowledge of security hardening, IAM, WAF, Shield, Vault Working knowledge of Agile, Infrastructure-as-Code, and DevSecOps practices UK*C or Enhanced DV (eDV More ❯
DevOps engineering and working with container orchestration, such as with Docker or Kubernetes • Experience with log monitoring and observability via platforms like Sumologic or Cloudwatch • Experience automating infrastructure, testing, and deployments using tools like CircleCI Configuration management tooling and infrastructure as code knowledge is preferred but not required • Experience More ❯
the stability and evolution of our platforms. Our Technology Stack:Java (primarily using Spring Boot), MySQL, Postgres (with Liquibase), Docker, AWS (e.g., ECS, S3, CloudWatch), Retool, Jenkins or GitHub Actions for CI/CD pipelines, Python for certain microservices or data-related tasks Who You Are Seven or more More ❯
delivery of solutions. Expert knowledge of SRE fundamentals and a commitment to best practice Fluency with common observability tooling like Prometheus, Grafana, OTEL and Cloudwatch Experience analysing and building data telemetry, querying (PromQL), modelling, pipelines and dashboards to provide concise, focused insights and alerts for distributed systems Strong experience … with Python and/or GoLang Java (SpringBoot and Micrometer) useful Demonstrable experience working with AWS services like SQS, EKS, RDS, VPC, EC2, Cloudwatch (X-Ray, Metrics and Logs), Lambda Solid knowledge of Linux systems and bash scripting Strong knowledge of networking and common protocols (TCP, DNS, TLS, HTTP More ❯
integration, delivery, and deployment of applications. Collaborate with the development team to optimise pipeline efficiency and ensure code quality. Implement monitoring solutions using AWS CloudWatch, Prometheus, Grafana, or similar tools to ensure visibility into application performance, health, and security. Troubleshoot production issues and provide resolution. Ensure the security of … Experience automating infrastructure tasks using Infrastructure as Code (IaC) tools like Terraform or AWS CloudFormation. Experience with monitoring and logging tools such as AWS CloudWatch, Prometheus, Grafana, ELK Stack (Elasticsearch, Logstash, Kibana). Join a rapidly expanding start-up where personal growth is a part of our DNA. Benefit More ❯
event-driven architectures. Ability to design and implement highly available, fault-tolerant systems using AWS services. Expertise in monitoring and troubleshooting AWS environments using CloudWatch, X-Ray, and other AWS tools. More ❯
Additional Preferred Skills: Strong familiarity with the following AWS Service groupings: Identity & Security: IAM, KMS, Okta and/or Antiphony. Observability, Logging, Monitoring: CloudTrail, CloudWatch and Xray. Proven capability to not only apply best practices with the above to their own development effort but also to guide/advise More ❯
engineering culture and processes as we scale Tech used ● We run a modern, serverless-first stack on AWS, including: ○ CloudFront, API Gateway, ECS, Route53, CloudWatch ○ RDS, OpenSearch Service, Cognito, ACM, IAM, SES, SQS, SNS, EventBridge ● One of the best services we’ve built? A Lambda-based Integrations Service that More ❯
design and infrastructure. Familiarity with cybersecurity principles , identity/access management, and secure APIs. Experience with AWS services (e.g., EC2, RDS, S3, Lambda, IAM, CloudWatch). Proficiency in Python scripting for basic automation or data parsing tasks. Awareness of latency-critical systems and the ability to make trade-offs More ❯
experience doesn't cover some areas but you have cloud/serverless experience, please apply. How we get there Tools and Practices: Grafana, AWS Cloudwatch, CI/CD pipelines. Methodologies: Test-Driven Development (TDD), Pair Programming, and Experimentation. Engineering Principles: We apply core engineering principles, including SOLID, KISS, Conway More ❯
