Software Architect

Job Summary

Chart the Course for the Future of Flight. This role focuses on developing core software architecture for internal engineering tools and other tools that enable operations for the next generation of mobility while working on accelerating the development and deployment of novel engineering tools leveraging cutting edge hybrid of ML based tools in real-time situations.

Responsibilities

• Design the overall system architecture: module boundaries, shared data objects, execution tiers, and the interface adapters that keep modules decoupled.
• Architect and oversee integration of all multi-module systems with traceability.
• Design the multi-timeline execution architectures for platforms as required.
• Define and freeze API contracts for the platforms external interfaces before downstream teams begin building against them.
• Scale the platform progressively from prototype to production-grade, with explicit validation gates at each stage.
• Write clear, verifiable, and precise low-level software requirements based on system-level specifications.
• Collaborating closely with collaborators to understand their technical requirements, proposing interfaces, and enabling them through proof-of-concept, deployment, and optimization phases.
• Architect reference implementations for reliable, scalable, traceable involving ML and GenAI based systems.
• Establishing software development and testing standards.

Requirements

• A track record of architecting systems that handle production and at enterprise-grade systems.
• Development of software systems that can deployed on the cloud or on premise.
• 2+ years ML engineering or engineering applications.
• Understanding of API contracts and frameworks.
• Proven understanding of fundamental data structures and the ability to apply them to solve complex problems.
• Experience with containerisation and orchestration systems like docker, kafka, kubernetes.
• Experience identifying and resolving systemic technical problems across multiple systems.
• Demonstrable experience architecting complex, real-time software systems from scratch.
• Hands-on experience with timing analysis, CPU load measurement, memory load analysis, and code profiling across distributed systems.

Preferred Qualifications

• Understanding and deployment of Reinforcement Learning based tools.
• Prior experience leading end to end through SDLC activities.
• Experience with distributed computing and performance optimization.

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