Lead Cloud Software Engineer

About the Role

Key Responsibilities

• Design and develop robust, scalable cloud-based systems leveraging microservices architecture.
• Implement containerized applications using Docker and manage deployments with Kubernetes.
• Develop APIs for secure and efficient data exchange, ensuring integration with aerospace systems.
• Build pipelines for sensor ingestion, processing high-frequency data streams in real time.
• Develop mechanisms for effector output, ensuring accurate and responsive command execution.
• Enable sensor fusion by combining multi-modal data streams for enhanced situational awareness and decision-making.
• Architect and implement secure data management solutions using databases such as PostgreSQL and SQL Server.
• Optimize data pipelines for ingestion, storage, and retrieval with tools like TypeORM and Prisma.
• Ensure compliance with stringent data access and security requirements under a zero-trust architecture.
• Develop systems enabling autonomous functionality, incorporating AI/ML models for decision-making and task execution.
• Implement automation pipelines for CI/CD processes, ensuring high availability and rapid feature deployment.
• Support autonomous operations through robust API-led development and real-time communication systems.
• Implement zero-trust security principles, ensuring robust authentication and authorization using TLS, JWT, and Keycloak.
• Design and maintain secure communication channels and access points for mission-critical aerospace systems.
• Work closely with cross-functional teams, including systems engineers, data scientists, and cloud architects, to align on project goals.
• Follow Agile methodologies, participating in sprints and iterative development cycles.

Requirements

• 6+ years proficiency with Docker, Kubernetes, and container orchestration tools.
• 6+ years advanced knowledge of React, Redux, Node.js, and NestJS for full-stack development.
• Experience with SQL databases and cloud-native data tools.
• Familiarity with AI/ML concepts, including LLMs and algorithms like XGBoost.
• Strong command of JavaScript, TypeScript, Python, and Bash scripting.
• Capability to write secure and maintainable code adhering to best practices.
• 6+ years of experience in cloud environments and API-led development strategies.
• Experience with CI/CD tools and version control systems such as Git.
• Practical knowledge of implementing zero-trust security models.
• Understanding of identity management solutions like Keycloak.
• Prior experience in connected aerospace, defense, or similarly regulated industries.
• Familiarity with sensor data pipelines.

Nice to Have

• Knowledge of sensor fusion algorithms and real-time processing systems.
• Experience deploying and managing hybrid cloud solutions for mission-critical environments.
• Familiarity with retrieval-augmented generation (RAG) concepts for AI-driven applications.
• Exposure to systems engineering principles in aerospace and defense sectors.