Design, develop, and maintain scalable full stack applications using Python (and TypeScript where applicable) to support security and compliance agent workflows.
Build and optimize RESTful APIs to enable seamless data exchange across services and systems.
Architect and manage microservice-based solutions on AWS, leveraging Kubernetes for orchestration and scalability.
Implement DevOps best practices including CI/CD pipelines, infrastructure-as-code, and automated deployment strategies.
Develop automation frameworks and tools to reduce manual tasks, improve efficiency, and support AI-driven workflows.
Collaborate with data engineering teams to integrate microservices with analytics platforms and big data pipelines.
Ensure compliance with security standards, governance policies, and cloud best practices.
Monitor, troubleshoot, and optimize system performance, ensuring high availability and reliability of deployed applications.
Provide technical mentorship and contribute to setting best practices for development, DevOps, and cloud engineering.

10+ years in software development, with demonstrated expertise across front-end, back-end, and DevOps/cloud engineering.
Proficiency in Python (TypeScript a strong plus).
Proven experience in API development (RESTful/GraphQL).
Hands-on experience with AWS services (EC2, Lambda, S3, RDS, EKS, etc.).
Strong background in Kubernetes for container orchestration.
Expertise in DevOps practices, CI/CD pipeline design, and automation tools (e.g., Terraform, Ansible, Jenkins, GitHub Actions).
Experience working with microservice architectures in production environments.
AWS Certified Solutions Architect, AWS Certified DevOps Engineer, or equivalent cloud/devops certifications.
Strong problem-solving abilities with a focus on designing scalable and secure solutions.
Excellent communication and collaboration skills, with the ability to work cross-functionally in a fast-paced environment.
Highly adaptable and comfortable learning new AI/automation technologies.
Strong organizational skills with the ability to manage multiple priorities under tight deadlines.
Proactive, self-motivated, and able to take ownership of end-to-end development processes.
Mentorship mindset, able to share expertise and uplift junior engineers.
Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience).

Principal Architect – AI Systems, Engineering

Key skills