Brahim Serrhini

Senior Software Engineer

Toulouse, Occitanie, France6 yrs 11 mos experience

Highly Stable

Key Highlights

7+ years in backend and cloud engineering.
Expert in AWS serverless architecture and Java.
Proven leadership in Agile environments.

Stackforce AI infers this person is a Backend and Cloud Engineer specializing in Aerospace and Big Data solutions.

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Skills

Core Skills

Cloud ComputingEvent Driven ArchitectureJavaSpring FrameworkBig Data

Other Skills

PythonAWSJenkinsGitDevOpsAgileMicroservicesSpring BootSpring CloudGitLab CISonarQubeHadoopSparkHDFSHBase

About

Tech Lead and Software Engineer with 7+ years of experience in designing and developing scalable back-end systems. Specialized in Java and AWS services like (Lambda, DynamoDB, SQS/SNS, API Gateway ...), with proven expertise in building event-driven architectures to enhance performance, scalability, and cost efficiency. Experienced in Agile SAFe environments, leading technical teams while ensuring delivery quality and system robustness.

Experience

Capgemini

3 roles

Technical Lead, Senior Software Engineer - Airbus Skywise

Promoted

Mar 2021 – Present · 5 yrs

Technical lead of a 10‑developer team on the Skywise Health Monitoring application, used by airlines to anticipate failures and optimize fleet
availability.
Design and implement event‑driven microservices architectures on AWS to process aircraft events in real‑time (SQS, SNS, Lambda,
DynamoDB, OpenSearch ... ).
Actively participate in refinement workshops, feature estimation, and architectural decisions, in direct collaboration with Product Owners
Supervise development, conducted code reviews, mentore the team, and coordinate with Product Owners in an Agile SAFe environment.
Tech Stack : Java, Python, AWS(DynamoDB, S3, Lambda, SNS, SQS, Kinesis, CloudWatch), Jenkins, SonarQube, Git, Cucumber, DevOps, Agile
Safe

Cloud ComputingEvent Driven ArchitectureJavaPythonAWSJenkins+3

Lead Software Engineer - EDF

Apr 2020 – May 2021 · 1 yr 1 mo

Designed and developed a set of Java Spring Cloud microservices for a strategic business application for automatic renewal of professional
customer contracts.
Actively participated in refinement, technical breakdown, and inter‑service interface definition within an Agile SAFe environment.
Automated deployment through Jenkins pipelines and quality tracking via SonarQube.
Close collaboration with Product Owners, functional teams, and DevOps to ensure business compliance, security, and service performance.
Tech stack : Java, Spring Boot, Spring Cloud, Spring Security, Jenkins, GitLab CI, Agile SAFe, SonarQube

JavaSpring BootSpring CloudJenkinsGitLab CIAgile+2

Software Engineer - Airbus Operations SAS

May 2019 – Apr 2020 · 11 mos

Designed and developed big data pipelines to process, segment, and enhance raw data from flight recorders (sources: FTI, FOMAX, QARDAR).
Developed a business algorithm “Flight Cut” to segment flights from a continuous raw data stream in real time.
Integrated with Hadoop ecosystem: created Spark sources via Java Spark Datasource V2 API, ingestion to HBase, storage on HDFS.
Production monitoring: Hadoop cluster monitoring, Spark/Yarn performance analysis, proactive incident resolution.
Implement web services ( Spring Boot), with automated processes via Jenkins.
Tech stack : Java, Spring Boot, Hadoop, Spark, HDFS, HBase, Jenkins, Github, Agile

JavaSpring BootHadoopSparkHDFSHBase+4

Airbus

Big Data And Cloud Engineer Intern

May 2018 – Nov 2018 · 6 mos · Région de Toulouse, France

My mission in this internship was to study the Big Data Architecture within the flight test department of Airbus which was using Oracle Big Data Appliance for storing and processing the data, and migrate it to AWS Cloud.
Design an architecture of the new solution that will be deployed in the cloud
Development of a java module to migrate the data from Oracle kvstore to dynamodb
Creation of hadoop cluster and deploy spark on it
Creation of a kubernetes cluster and deploy spark on it
Integrate the processing part to read data from the cloud
Compare and benchmark the on premise and the cloud solution

Amazon Elastic MapReduce (EMR)Hadoop