AWS Cloud Devops Senior Infrastructure Lead

About Sopra Steria
Sopra Steria, a major Tech player in Europe with 51,000 employees in nearly 30 countries, is recognised for its consulting, digital services and solutions. It helps its clients drive their digital transformation and obtain tangible and sustainable benefits. The Group provides end-to-end solutions to make large companies and organisations more competitive by combining in-depth knowledge of a wide range of business sectors and innovative technologies with a collaborative approach. Sopra Steria places people at the heart of everything it does and is committed to putting digital to work for its clients in order to build a positive future for all. In 2025, the Group generated revenues of €5.6 billion.
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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. Professional English is required. French is optional.

Total Experience Expected: 08-10 years

BE/B.Tech

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