Responsibilities Senior Platform Engineer (Python / AWS):
• Codebase Mastery & Architecture: Profile and optimize distributed computational pipelines and network topology models in collaboration with domain algorithm owners. Comprehend multi-stage ingestion, physics, and economic metric pipelines while managing distributed storage (S3 data lake, Delta Lake, sandbox isolation).
• Innovation Team Support & Optimization: Optimize SLA-aware orchestrators, yield calculations, and commitment layers. Profile GPU memory usage (RMM contexts), analyze CUDA queuing, and streamline CPU/GPU data transfers.
• Infrastructure & Microservice Migration: Execute containerized AWS ECS deployments migrating from Docker Compose. Design high-throughput microservices and APIs using modern asynchronous Python (FastAPI, gRPC) to coordinate routing, SLA negotiation, and contract lifecycle management. Implement event-driven services (Kafka/SQS, DynamoDB, Redis). Future need can be to move this setup into Java/Springboot Microservices architecture.
• Frontend Modernization: Rebuild legacy Streamlit dashboards (Mission Control, Scenario Studio, Experiment Lab) into React.js single-page applications.
• DevOps & Quality Assurance: Maintain CI/CD pipelines, write tests using PyTest, manage Terraform Infrastructure-as-Code, and ensure application logging, monitoring, and security compliance.
• Cross-functional Collaboration:



Interface with stakeholders to communicate business KPIs, present technical research, and document platform architecture. Required Skills & Qualifications
• Core Technical Stack: Advanced proficiency in Python 3.12+ (async/await, generators) and SQL querying (Parquet).
• Data & Compute: Strong experience with Pandas, NumPy, and Apache Parquet serialization.
• Containers & Cloud: Solid knowledge of Docker, Docker Compose, message queues, and AWS S3 cloud storage.
• Physics & GPU Computing: Experience with GPU memory management (RMM) and high-performance computing profiling.
• Engineering Best Practices: Proficiency with Git, Shell scripting (Bash), PyTest, and technical documentation.
• Aviation Background: Domain familiarity with aviation data/systems.
• Big Data Architecture: Expertise in big data processing frameworks and architectures, specifically employing Kappa and Lambda processing patterns for real-time and batch analytics.

Experience:
7-10 Years

Education:
Bachelor’s degree in engineering Employment : Full Time

Location:
Bengaluru Why Join ALTEN India?
• Opportunity to work with leading global aerospace clients.
• Dynamic, innovation-driven environment with exposure to cutting-edge technologies.
• Continuous learning and growth opportunities opportunities.
• Inclusive and collaborative workplace culture.

📌 Senior Platform Engineer (Bengaluru)
🏢 ALTEN India
📍 Bengaluru