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# Senior Software Engineer (80-100%, all genders) limited position till 31. December 2028

- **Company:** Lufthansa German Airlines
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Artificial Intelligence, Automation of Tests, BigQuery, Cloud Computing, Code Review, Continuous Integration, Information Engineering, Extract Transform Load (ETL), Data Warehousing, Database Design, Data Flow Control, Python (Programming Language), Machine Learning, Pair Programming, Performance Tuning, Software Engineering, SQL Databases, Multi-Agent Systems, Llamaindex, Generative AI, Kubernetes, Real-time Inference, Google Cloud Functions, Data Management, Machine Learning Operations, Terraform, Data Pipelines, Serverless Computing, Docker, Microservices
- **Published:** November 7, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/px8dctakhx

## About the Role

* Education & Experience: A Bachelor's or Master's degree in Computer or Data Science, Engineering, Mathematics, or equivalent experience, plus 6+ years in software engineering, architecture, and database design.
 * Python & SQL: 3+ years building production ML, MLOps, or microservices in Python and 5+ years in SQL, data warehousing, performance tuning, and robust ETL/ELT processes.
 * GCP Delivery: Hands-on expertise with Cloud Run, BigQuery, Pub/Sub, Dataflow, Terraform, CI/CD, code reviews, and automated testing.
 * Optimization & GenAI: Experience or interest in Docker, Kubernetes, numerical solvers, OR optimizers, and frameworks such as LlamaIndex, ADK, or multi-agent environments.
 * Collaboration: Agile experience, strong Product collaboration, aviation interest, and C1/C2 English.

## Description

Partner with the Lead Principal Software Engineer and OR Lead to deliver reliable solvers, ML models, serverless data platforms, and GenAI applications. Mentor engineers, lead rigorous code reviews, and uphold high engineering standards across the team.

 * Software & Data Engineering: Design & implement reusable and testable Python and SQL solutions, scalable microservices, and robust ETL/ELT pipelines for multi-source aviation data, model training, and real-time inference.
 * AI/ML & Optimization: Partner with Lead OR and others to Implement, containerize, deploy, and operate ML models and high-performance numerical solvers with OR and data science experts.
 * Cloud Infrastructure & Operations: Collaborate with Lead Architect to provision, secure, monitor, and optimize serverless data products, reliable, cost-efficient GCP services and microservices using Terraform.
 * Engineering Excellence: Uphold high standards, lead peer code reviews, strengthen automated testing, CI/CD pipelines, and mentoring through guidance and pair programming.