DevOps Engineer

Devops (Data Platform) Purpose of the job The DataOps Engineer will play a critical role in ensuring the reliability, security and operational excellence of Collinson's modern data platform. As a key member of the Data & Analytics team, you will be responsible for automating platform operations, maintaining cloud infrastructure, supporting CI/CD pipelines and ensuring the platform remains secure, scalable and highly available. In this hands-on role, you will work closely with Data Engineers, Security, Infrastructure and Product teams to support enterprise-wide data initiatives through automation, observability and platform standardisation. Key Responsibilities Manage and maintain Snowflake, Kafka, AWS, MongoDB and supporting data platform infrastructure. Build and maintain CI/CD pipelines and deployment automation. Develop and maintain Infrastructure as Code using Terraform. Manage AWS networking including VPCs, VPC Peering, PrivateLink and secure private networking. Work with the Central Network team to implement and support enterprise networking solutions. Support Confluent Kafka platform operations and event-driven data integration patterns. Perform platform patching, upgrades, and lifecycle management. Ensure timely remediation of security vulnerabilities and compliance with security standards. Implement monitoring, alerting and observability using Datadog and platform monitoring tools. Support production incidents, root cause analysis, and operational improvements. Maintain platform documentation, operational runbooks, and engineering standards. Optimize platform performance, reliability, and cloud costs. Support platform governance, access management, and disaster recovery activities. Evaluate emerging technologies and recommend improvements to platform engineering practices. Own operational excellence of the data platform. Define and improve platform reliability standards. Drive automation and reduce manual operational effort. Improve developer experience for data engineering teams. Develop and maintain operational metrics, SLAs and SLOs to improve platform reliability and availability. Knowledge, skills and experience required Mandatory Technical Skills DataOps & Platform Engineering AWS fundamentals Snowflake Administration MongoDB Confluent Kafka Platform Python SQL Git CI/CD pipelines Infrastructure as Code (Terraform) Data Observability and Monitoring (Datadog) Incident Management Production Support Security Patching Vulnerability Management Performance optimisation Cost optimisation AWS Networking VPC VPC Peering AWS PrivateLink Route 53 Security Groups IAM Private networking Central Network integration Preferred Skills AWS Transit Gateway AWS Direct Connect / VPN concepts Datadog dashboards and alerting Airflow Platform Engineering / SRE practices Nice to Have Generative AI fundamentals LLM integration patterns AI Agent frameworks Machine Learning platform awareness Real-time analytics architectures