We are seeking a Senior DevOps Engineer to take full ownership of our data platform infrastructure. You’ll play a key role in scaling and supporting our data systems, which leverage a modern AWS stack and Snowflake. This is a high-impact role with direct influence over reliability, observability, and the DevOps maturity of our data engineering function.
Key Responsibilities
- Platform Ownership
- Own and manage the data platform infrastructure built on AWS services (EventBridge, Lambda, EC2, MWAA, S3).
- Oversee deployment and monitoring of Snowflake, and support its integration into the broader data ecosystem.
- Infrastructure and System Reliability
- Ensure platform reliability, availability, and scalability across environments.
- Design and maintain robust monitoring, alerting, and observability frameworks to reduce MTTR and improve visibility.
- Lead initiatives related to data lineage, platform health, and alert hygiene.
- CI/CD and Automation
- Enhance our CI/CD processes using Bitbucket pipelines.
- Drive DevOps practices across data engineering teams.
- Implement infrastructure as code using tools like Terraform or CloudFormation.
- Collaborate with data engineering teams to identify and improve platform pain points.
- Security & Networking
- Manage VPCs, security groups, IAM roles, and cross-account networking within AWS.
- Support secure integration with third-party services like Microsoft PowerApps.
Requirements
- Experience owning and operating production data platforms on AWS.
- Strong knowledge of AWS services: EventBridge, Lambda, EC2, S3, MWAA.
- Experience with platform reliability, observability, and automation tools.
- Proficiency with CI/CD pipelines, especially Bitbucket Pipelines.
- Knowledge of Snowflake administration and deployment.
- Ability to work through ambiguity and in collaborative teams.
- Experience with infrastructure-as-code tools such as Terraform or CloudFormation.
- Python scripting skills for automation.
- Exposure to MLOps workflows.
- Familiarity with Power Platform, especially PowerApps, in data contexts.
- Understanding of data lineage, governance, and operational monitoring.
Benefits
- 24 days annual leave, rising to 29
- Enhanced parental leave
- Wellness Days
- Flexible Fridays
- Birthday day off
- Employee assistance program
- Charity days
- Breakfast and social events
- Hybrid working model
About Our Company
With Intelligence, based in London, offers excellent benefits, including free breakfast, drinks, and social activities. We foster a vibrant, social work environment and serve senior asset management industry clients with leading editorial, research, and data services. We are committed to diversity and equal opportunity in our hiring practices.