The role is the technical lead for production operations within an international L1/L2/L3 organisation. They operate an existing AWS platform understand its components and dependencies and personally diagnose and resolve complex incidents. They work with the SDM L1/L2 Build teams and specialist experts. The SDM organises and manages the service; L3 owns technical diagnosis and resolution. The role requires a hands-on Production/SRE profile with proven AWS expertise in production an end-to-end view of the business application and its flows and a high level of autonomy from the start to secure operations and prepare transitions.
Incidents and Service Restoration
1. Provide L3 support for complex incidents escalated by L2.
2. Handle P1/P2 incidents in the crisis bridge and provide technical diagnosis.
3. Investigate applications and flows end to end: front/back end APIs microservices Kubernetes middleware networking data and AWS services.
4. Analyse and correlate logs metrics events and changes to locate failures.
5. Understand business consequences and prioritise recovery actions.
6. Perform appropriate fixes or recovery operations engage the required experts and verify service restoration.
Prevention and Operability
1. Lead RCA document causes and define measures to prevent recurrence.
2. Define probes metrics thresholds and preventive checks based on component and flow knowledge.
3. Challenge Build teams on operability configurations observability resilience and production risks.
4. Support the operational acceptance of new components.
Automation and Knowledge Transfer
1. Define and evolve technical standards and operating practices.
2. Standardise and automate recurring operations.
3. Structure runbooks documentation and knowledge transfer.
4.
Guide L1/L2 and strengthen their autonomy.
Technical Skills
1. Observability: direct use of Elastic/Kibana and CloudWatch for monitoring investigation and correlation.
2. Applications: front/back end REST APIs/API Gateway microservices data flows and dependencies.
3. Messaging and events: SQS EventBridge and understanding of interactions with Kafka/Confluent.
4. AWS infrastructure: EC2 Auto Scaling IAM S3/EFS VPC Route 53 ALB/NLB Transit Gateway and cross-account traffic.
5. Databases: PostgreSQL/Aurora investigation in a production context.
6. Automation: Terraform GitLab CI/CD and Bash/Python scripting.
7. Containers: strong Kubernetes/EKS troubleshooting and end-to-end application understanding.
8. Data exchange: production data exchange ideally AWS Transfer Family/SFTP including exchange and dependency troubleshooting.
9. Lambda: hands-on Lambda operations and troubleshooting of interactions with other services.
10. Preferred: AS2 Docker/Helm GitOps/ArgoCD. Prometheus Grafana and OpenTelemetry can complement observability. Kafka/Confluent skills can be developed with support from the existing team.
Certifications
1. Mandatory: AWS certification supported by significant and recent AWS production experience.
2. Preferred: Kubernetes certifications and advanced or professional AWS certifications.
Required Experience
1.
Significant recent AWS production experience.
2. Operation of business-critical applications and personal handling of major P1/P2 incidents.
3. Deep expertise in at least one core component ideally one or two combined with broad production support coverage and end-to-end understanding of dependencies.
4. Transfer Family and Lambda are particularly sought; strong production data exchange experience on another solution remains relevant.
5. Experience assembling operating and troubleshooting multiple cloud services including in startup environments. A smaller platform may be relevant if its dependencies and operational challenges are comparable.
6. Must confirm personal incident actions architecture and flow understanding observability tools used and preventive practices and be able to explain decisions and ask relevant operability questions.
7. A background focused only on Build architecture lift and shift infrastructure or CI/CD is insufficient.
8. A mainly Azure profile does not meet AWS requirements. AWS expertise is needed from the start; this assignment is not for learning AWS fundamentals.
9. Autonomy production reflexes analytical thinking technical decision-making clear communication and awareness of business impact.
10. Skilled English is required. French is optional.
Total Experience Expected: 08-10 years
Qualifications :
BE/
Additional Information :
At our organization we are committed to fighting against all forms of discrimination. We foster a work environment that is inclusive and respectful of all differences.
All of our positions are open to people with disabilities.