Senior Software Engineer – Backend & AI Infrastructure

About the role

We are looking for a Senior Software Engineer to design, develop, and operate scalable backend systems and cloud infrastructure that power AI‑driven applications. The role combines deep backend engineering with cloud‑native practices and AI integration, ensuring high performance, reliability, and security.

Key responsibilities

• Design, develop, and maintain scalable backend services and APIs.
• Build and manage AWS cloud infrastructure with high availability.
• Implement and maintain CI/CD pipelines for reliable software delivery.
• Integrate large‑language‑model (LLM) services and other AI components into backend systems.
• Automate provisioning and management using Infrastructure as Code tools.
• Monitor system health, troubleshoot issues, and ensure high uptime.
• Collaborate with frontend, AI, and DevOps teams to deliver end‑to‑end solutions.
• Establish best practices for backend architecture, deployment, and security.

Required profile

• Bachelor’s degree in Computer Science, Software Engineering, or a related field.
• 4–7+ years of experience in backend development and cloud infrastructure.
• Strong problem‑solving abilities and capacity to work independently in a fast‑paced environment.
• Leadership mindset with ownership of delivered solutions.

Required skills

• Python programming.
• Amazon Web Services (EC2, Lambda, S3, RDS, ECS/EKS).
• REST APIs, microservices architecture, and distributed systems.
• CI/CD tools such as GitHub Actions or Jenkins.
• Containerization and orchestration (Docker, Kubernetes).
• Infrastructure as Code (Terraform, CloudFormation).
• Experience with LLM‑based services and AI integration.
• System reliability, monitoring, and observability practices.
• Security best practices for cloud and backend systems.
• Serverless architectures and event‑driven systems (nice to have).
• Data pipelines, streaming technologies, vector databases, and AI infrastructure components (nice to have).
• Cost‑optimization strategies and exposure to MLOps practices (nice to have).