Full-Time Senior Backend Engineer

GT is looking for a Senior Backend Engineer interested in AI, ML and aerospace.

About the Client: A cutting-edge Aerospace and Defense company committed to delivering innovative, secure, and compliant solutions for customers.

About the Project & the Role: This team builds secure, cloud-native infrastructure powering mission-critical aerospace and defense systems.

Responsibilities:

• Architect Secure Systems: Design, build, and maintain secure backend services and APIs using Python.
• Design Scalable Infrastructure: Define system architecture focusing on reliability, fault tolerance, and scalability.
• Data Modeling: Create and manage performant, auditable database schemas in Postgres.
• Support ML Integration: Collaborate with the AI Architect to support data pipelines and deploy ML-powered features; understand model serving and inference integration.
• Cloud & DevOps: Deploy cloud-native services using GCP, Kubernetes, and CI/CD pipelines.
• Event-Driven Workflows: Build reactive systems using Kafka, Redis Pub/Sub, or similar tools.
• Security-First Engineering: Adhere to security and compliance standards (DoD, FedRAMP, NIST); implement authentication, encryption, and audit controls.
• Cross-Functional Work: Partner with product managers, QA, and front-end teams to deliver end-to-end features.
• Code Quality: Lead and participate in peer reviews to uphold code reliability, clarity, and maintainability.
• Documentation: Produce high-quality documentation for APIs, system architecture, and backend workflows.

Essential knowledge, skills & experience:

• Bachelor's or Master's degree in Computer Science, Software Engineering, Mathematics, or a related technical discipline.
• 5–8+ years of backend engineering experience, ideally in regulated or high-availability environments.
• Proficiency in Python for backend development and API design.
• Strong mathematical foundation.
• Familiarity with machine learning processes.
• Hands-on experience with Postgres and scalable data models.
• Proficiency in Kubernetes, Docker, and CI/CD pipelines.
• Experience with cloud platforms, ideally GCP.
• Working knowledge of event-driven systems (Kafka, Redis, or equivalents).
• Solid understanding of secure software development, encryption, and authentication standards.
• Strong communication and collaboration skills.

Interview Steps: GT interview, technical interview, final interview, security check

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