Manager, Site Reliability Engineering (GCP) - Bilingual (French/English)
Role details
Job location
Tech stack
Job description
As the manager of the Site Reliability Engineering team for Google Cloud Platform (GCP) at Veson Nautical, you will be responsible for designing, building, monitoring and supporting the GCP infrastructure that underpins our rapidly growing SaaS platform (10 Kubernetes clusters, over 1800 pods, more than 20 billion documents on ElasticSearch) and the services and products that depend upon it. This includes:
- Oceanbolt - a dynamic data intelligence platform, tracking over 23,000 vessels in real time to deliver accurate, timely market intelligence to drive decision making
- Shipfix - using proprietary AI-driven tools to infer cargo and vessel information, extracting, anonymizing, and aggregating billions of data points with near real-time processing of email exchanges in the shipping market
Our business and our platforms are experiencing rapid growth, which ensures we have no shortage of exciting and challenging projects to work on.
The Team:
This is a hands-on technical leadership role where you'll manage an extremely talented team of Site Reliability Engineers, while personally contributing to architecture and infrastructure initiatives.
We are looking for a leader who can think systematically and manage complex systems at scale through automation. The successful candidate will be comfortable participating in architectural discussions with software engineers, and from a scalability perspective will ensure that the platform can double in size over the next 1-2 years.
The team is committed to a DevOps culture, proactive monitoring and managing infrastructure at scale - they thrive on improving our cloud-native platforms and adopting new technologies.
This position will be in our London office in Southwark, in a hybrid model where we expect a minimum of two days/week attendance in person., * Lead and mentor a team of Site Reliability Engineers, fostering a culture of excellence, collaboration, and continuous improvement
- Design, implement, and manage scalable, reliable, and secure cloud infrastructure on Google Cloud Platform
- Oversee the provisioning and management of containerized applications using Docker and Kubernetes
- Drive automation initiatives for infrastructure provisioning and configuration management using Terraform and other IaC tools
- Partner closely with development teams to ensure reliability, performance, and scalability of platforms
- Establish and maintain comprehensive monitoring, alerting, and observability practices
- Build processes and discipline to improve consistency, visibility, and documentation across infrastructure and operations
- Lead incident response efforts and ensure service uptime
- Develop automation, monitoring, and management solutions
- Prepare infrastructure for integration and future growth
Requirements
- Google Cloud Platform - primarily PaaS services (Bigtable, Cloud SQL, Dataflow, Datastore, GKE, GCS, KMS, Pub/Sub)
- Email - ingestion through Microsoft Graph API automation and IMAP integrations
- ElasticSearch hosted with Kubernetes Operator
- CI/CD - Gitlab Pipelines and ArgoCD
- Infrastructure-as-Code - Terraform, Terragrunt and Atlantis
- Monitoring and Security - Cloud Armor Enterprise, Grafana / Grafana Tempo, OpenTelemetry, OpsGenie, Renovate, Sentry
- AI Tools - Augment Code, GitHub Copilot, Claude, * Previous experience working on a large-scale Software-as-a-Service (SaaS) platform which supported thousands of global users in a 24x7x365 environment
- Previous experience leading a Site Reliability Engineering / Cloud Ops / Platform / Infrastructure team
- Operational experience with Google Cloud Platform, Kubernetes and Terraform
- Programming or scripting experience in Python, bash, or a similar language
- Experience with cloud cost management (budgeting, anomaly detection, cost analysis and reporting, etc)
- Bilingual fluency in English and French is essential for this position
Highly Desirable:
- Previous experience architecting large Google Cloud infrastructure
- Previous experience deploying / operating / monitoring Elasticsearch clusters
- Experience leading a geographically distributed team
Nice to have skills:
- KEDA / ArgoCD
- PostgreSQL and BigQuery database management experience