Lead Devops Engineer - Devops, Cloud & Python

Responsibilities

Platform Engineer – Cloud Platform Operations & Automation

Context

You will join the SG Cloud Platform Engineering organization, responsible for building and operating the core automation, quality and IaC tooling used across Société Générale’s internal cloud ecosystem.

The DevOps Engineering team is a 5 person‑person agile squad distributed between Paris and Bangalore.
Its mission is to ensure platform reliability, automation first operations, and developer‑first operations, and developergrade‑grade CI/CD and observability tooling used by more than 300 engineers.

Your Role

As a Platform Engineer, you are responsible for ensuring the stability, performance, and automation of the cloud platform’s core services, including API automation layers, observability components, CI/CD workflows, IaC toolchains, and QA/Documentation systems.

You will operate production services at scale, reduce operational toil through automation, and continuously improve the platform’s delivery and observability capabilities.

Core Responsibilities

1. Platform Operations & Reliability (Run Engineering)

• Operate and maintain key platform services such as the Terraform Registry, Tracing infrastructure, SGCP Quality & Observability resources, and documentation & chat‑support systems.
• Ensure availability, performance, resilience, and secure lifecycle management for all production components.
• Perform patching, upgrades, and vulnerability remediation, aiming for minimal human intervention on production systems.
• Lead incident response, perform deep root‑cause analysis, and implement long‑term corrective actions.
• Reduce operational toil through automation, workflow industrialization, and proactive reliability engineering.

2. CI/CD & Delivery Platforming

• Operate and evolve the cloud platform’s CI/CD pipelines and reusable workflows used by ~300 developers.
• Manage the lifecycle of base Docker images: security hardening, automated build pipelines, versioning, and distribution.
• Maintain and extend the platform’s IaC toolchain, including Terraform workflows, deployment pipelines, and registry management.
• Continuously improve delivery performance, deployment reliability, and overall developer experience.
• Contribute to the technical roadmap with an engineering‑driven mindset.

3. Observability Engineering

• Maintain and enhance the cloud platform’s observability stack across traces, and dashboards.
• Ensure full visibility into system behaviour, performance drifts, errors, and capacity indicators.
• Build automation for alerting, anomaly detection, and platform health insights, improving signal quality and reducing noise.
• Support SRE practices to strengthen platform reliability through data‑driven insights.

4. User Support & Platform Adoption

• Participate in system demos, validation sessions, and operational readiness reviews.
• Act as a partner for SG Cloud engineering teams in troubleshooting and platform enablement.

Key Skills & Competencies

Technical Skills

• Strong experience with CI/CD tooling (Github Action/GitLab CI, Jenkins)
• Solid expertise in Infrastructure as Code—Terraform, Ansible preferred
• Hands‑on experience with platform automation, scripting/coding (Python), and workflow orchestration
• Proficiency in containerized environments (Docker / Kubernetes, registries, build pipelines)
• Understanding of monitoring and observability at scale (metrics, logs, traces)

Engineering Mindset

• Reliability‑first mindset with strong operational discipline
• Ability to automate, industrialize, and eliminate manual processes
• Strong troubleshooting capabilities across distributed systems
• Clear communication and collaborative problem solving across global teams

Profile required

• 7+ years of experience in software development and architecture.

• Programming & Architecture: Strong experience in Python, Golang object-oriented programming, and microservices architecture.
• Cloud Expertise: Solid understanding of cloud infrastructure, operations, and resource definitions; familiarity with AWS and Azure.
• Data Handling: Ability to manage large datasets and optimize performance.
• Database Management: Proficient in PostgreSQL and writing robust SQL queries.
• Visualization & Monitoring: Experience with Grafana, ElasticSearch, and FluentD.
• Containerization & Deployment: Hands-on experience with Docker and Kubernetes.
• DevOps & CI/CD: Proficient with GIT, Jenkins, Sonar, and automation pipelines.
• System Skills: Strong knowledge of Linux OS and bash scripting.
• Agile Practices: Experience working in Agile/SAFe environments.
• Soft Skills: Excellent communication skills for cross-functional collaboration and transversal responsibilities.
• Proactivity & Product Orientation: Ability to challenge legacy systems and drive iterative enhancements.