Middle DevOps Engineer

Our customer is a leading investor services group employing 4750+ people across 25 jurisdictions worldwide. Solution brings together that rare combination of global technical expertise and a deep understanding of their clients' needs. Solution helps their clients and the sector to stay compliant. They act as a guardian and facilitate client’s investments.

Bridge current capacity for BAU data engineering. Keep pipelines healthy, improve reliability, and free senior engineers to focus on the roadmap and strategic work. 

Initial engagement - 6 months with option to extend.

Small, high performing group led by the Group Head of Data Transformation and the Head of Data Engineering. Tooling includes Snowflake, DBT, Python and orchestration on Kubernetes. Collaboration with DevOps and Data Science. Culture values ownership, clarity and calm incident response.

• Interview process that respects people and their time
• Professional and open IT community
• Internal meet-ups and resources for knowledge sharing
• Time for recovery and relaxation
• Bright online and offline events
• Opportunity to become part of our internal volunteer community

• Operate and support Kubernetes clusters across dev, test and prod
• Diagnose cluster issues across networking, storage, ingress, DNS and certificates
• Manage deployments, secrets, config and images for data workloads
• Keep observability in good shape using logs, metrics and alerts with clear SLOs
• Maintain Jenkins pipelines and runners for build and deploy of platform components
• Harden access and security controls in line with company policy
• Produce run books, architecture notes and recovery procedures
• Collaborate with data engineers to right size resources and improve reliability

Must have

1. 4 + years in DevOps or platform engineering with strong Kubernetes skills
2. Linux networking fundamentals, including DNS, routing, firewall,s and TLS basics
3. Experience with Azure and AWS services used for storage, comput,e or networking
4. Hands-on experience in maintaining clusters and solving production incidents
5. Practical CI CD with Jenkins or similar and container image management

Nice to have

1. Helm, Kustomize or similar tooling
2. Knowledge of Snowflake connectivity, DBT runners and Python-based jobs
3. Infrastructure as code with Terraform or equivalent
4. Experience designing alerting and on-call processes