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Airbus Logo Airbus · IT - Software Development

Lead Software Engineer - Cloud

India, Bangalore · Job Posted February 21, 2026
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Job Description

The area of Scientific Computing in Airbus provides engineering with state of the art platforms & services to develop, prototype solutions for engineering and is a key enabler in the aircraft development of today and tomorrow. In our multifunctional team setup we are tackling the future challenges of the transformation of the aircraft architecture and design ecosystem. We work in a multidisciplinary team setup in the context of Agile/SAFe. We are seeking to enhance our team with a Cloud Engineer with the main focus on Cloud and hybrid platforms in order to support the sizing and setting-up of future digital services and services for engineering.

Job Responsibility

  • Design, deploy, and maintain scalable and resilient cloud solutions for high-performance computing (HPC) and scientific simulation workloads
  • Optimize compute resources by selecting and managing appropriate Compute-optimized EC2 instances
  • Design and manage high-performance storage solutions using Amazon S3, Amazon EFS, and Amazon FSx
  • Automate cloud environment provisioning by developing and implementing Infrastructure as Code (IaC)
  • Monitor system performance and resource utilization with AWS CloudWatch
  • Monitor and troubleshoot workflow execution and pipeline failures
  • Collaborate with engineering teams to understand their computational needs and provide technical guidance
  • Troubleshoot and resolve complex technical issues related to compute, storage, and networking for scientific simulation jobs
  • Enforce and maintain security best practices, ensuring compliance with data governance and security policies
  • Contribute to the full development lifecycle within a self-sufficient, multi-disciplinary team
  • Work within Agile, Scrum, or Kanban methodologies to support continuous integration and delivery
  • This role may require occasional business travel
  • Intercultural Communication: Serve as a liaison between engineering teams in Europe and India
  • Flexible Work Schedule: Be willing to work European shift times
  • Optimizing Scientific Software: Conduct scaling tests on integrated tools
  • Technical Support: Provide Level 3 incident resolution and root cause analysis for AI applications
  • Test Automation: Design, build, and run automated tests
  • Software Maintenance: Test and deploy scientific computing software patches
  • Collaboration: Work closely with engineers and business workflow designers
  • DevOps Mindset: Apply DevOps principles and tools daily for all activities

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Information Technology, or a related field
  • 7-10 years of IT experience with at least 2 years of hands-on experience on the AWS Cloud platform
  • Proficiency in at least one of the following languages: Python or Shell script or TypeScript or Boto3 is mandatory
  • Deep expertise in core AWS services and building data platforms, including OpenSearch, Glue Catalog, EMR, and Redshift
  • Mandatory experience writing Infrastructure as Code (IaC) using CloudFormation or CDK
  • Proficiency with high-performance storage services like Amazon FSx for Lustre and Amazon EFS for shared file systems
  • Hands-on experience designing, developing, and maintaining data pipelines and workflows using an orchestration tool like Apache Airflow, Prefect, or Dagster
  • Solid understanding of security best practices (e.g., IAM Roles, KMS)
  • Previous exposure to designing and maintaining large-scale, cloud-native systems
  • Working knowledge of Agile Scrum, SAFe, or Kanban methodologies
  • Good Communication skills

Nice to have

  • Experience focused on HPC workloads is highly desirable
  • Experience with Jupyter and SageMaker notebooks is highly desirable
  • Background in Data Model Engineering, including Data Warehouse or Data Lake design is desirable
  • Familiarity with specialized networking for HPC, such as Elastic Fabric Adapter (EFA)
  • Experience with AWS ParallelCluster or similar tools for managing HPC clusters on AWS is a significant plus
  • Experience with microservices architecture and serverless development using AWS Lambda, particularly with the Serverless Application Model (SAM)
  • Experience designing and implementing APIs and RESTful Web services (knowledge of FastAPI is a plus)
  • Knowledge of test automation and test-driven development
  • Experience with DevOps tools like Docker, Nexus, Artifactory, GitHub, and Jenkins is a plus
  • AWS Developer or Solutions Architect certification is a plus
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