Part of the SRE team of 4 engineers responsible for the production infrastructure and other environments, data storage backends, software delivery tooling and observability tools used by software engineering feature teams (45 people).Design & implementation of workload based autoscaling with Kubernetes & KedaCost & performance monitoring for Kubernetes workloadsDesign & implementation of Terraform / Terragrunt based Infrastructure as Code (IaC) and Config as Code (CaC)Simplify CI & CD workflows and artifactsMigrate MySQL from in-house managed servers to managed services from Azure

Part of a cross-functional engineering team, working on banking & payment systems.Improving the cloud infrastructure:* Improvement of reliability and speed of CI/CD with CircleCI* Network isolation for AWS VPC* Design & proof of concept of services deployment using AWS Elastic Kubernetes Service (EKS)* Trouble shooting of reliability and performance of critical banking software (TCP stack, monitoring)* Help developers define relevant metrics and alerts

As a member of the Tools & Productivity team of 3, I provide tools & practices to Tinyclues engineers so every feature team can follow DevOps principles of "you build it, you run it" while they stay focused on what they do best: building great software.I work remotely.Managing the whole Tinyclues infrastructure:* Automation of cloud infrastructures (AWS) with Infrastructure As Code practices (Hashicorp's Terraform, Ansible)* Design and implementation of a monitoring & alerting system* Architecture & infrastructure security strengthening: secret management, permissions and network isolation (Hashicorp's Vault, AWS IAM & VPCs)* Managment of a full set of SaaS applications in production on AWS EC2 Container Service (ECS) with DockerTools & Productivity: providing tools & methodologies to engineers so they can perform efficiently* Improve engineering tools for build, test, and CI/CD (CircleCI)* Coaching of engineering teams on methodologies and best practices with DevOps culture: you build it, you run it, we help you

Data engineering: Maintain and adapt a reactive and real-time data processing software architecture:* Scala development': APIs (Play framework, Akka-http), streaming components (Akka-streams), libraries.* Batch processing of large data sets (Apache Spark)* Debugging, improvement of data reliabilityPlatform engineering, devops: Ensure the infrastructure reliability at every level:* Automation of applications deployment and lifecycle* Monitoring, make software components and infrastructure scalable and fault-tolerant* Infrastructure automation: Migration of automated infrastructure management and deployment from Puppet to Ansible* Infrastructure management with AWS (Amazon Web Services)* Providing help to data engineering teams about infrastructure, software development, Scala, operating system and performance aspects* Providing help to data science teams about software development, Scala and Spark programming* Ensuring R&D teams have a working development environment, a managed platform and QA system to stay focused on building software* Fixing and debugging on backend parts to recover from failures and prevent it to happen again

Design and build a scalable, reactive and real-time data processing software architecture.

Backend software development.