• Lead the design, implementation, and evolution of our cloud-native platform infrastructure. • Build and maintain scalable, resilient systems that empower our engineering teams to deliver innovative solutions rapidly and reliably. • Design, deploy, and manage scalable cloud solutions on AWS public cloud platform via Infrastructure as Code. • Manage infrastructure as code (IaC) leveraging Terraform, CloudFormation and GoLang. • Design and implement Kubernetes-based platform solutions with focus on scalability, reliability, and security. • Support and maintain large Kubernetes clusters in production environments. • Implement security best practices and ensure compliance with industry standards and regulations. • Work closely with development, operations, and security teams to integrate infrastructure as code practices. • Develop automation to build and deploy Docker Containers through CI/CD pipelines for engineering teams deploy and test services. • Write policy & standard validation tests and integrations with Security Scanning software to ensure compliance. • Implement and support Observability solutions to ensure platform performance, reliability, and scalability. • Create Dashboards and integrate into Backstage IDP for visibility into system health. • Provide guidance and mentorship to team members on best practices in GitOps, CI/CD, and infrastructure management.

• Design, develop, deploy and support modules of large world-class enterprise-level product. • Participate in architectural design of product. • Develop high level development timelines based on project scope and understanding of the existing application code. • Evaluate new design specifications and raise quality standards, address architectural concerns. • Evaluate stability, compatibility, scalability, interoperability, and performance of the software product. • Maintain and upgrade product source codes. • Demonstrate technical expertise through publication, presentations, white papers and event participation. • Continually learn new technologies in related areas. • Serve as a source of technical expertise and mentor junior team members.

• Responsible for designing and implementing complex AI components — from initial concept to production • Enhance and scale existing AI solutions to improve performance and efficiency • Develop robust data pipelines, backends, and API interfaces for seamless integration • Build and maintain automated deployment pipelines to streamline releases and testing • Ensure quality and performance of backend processes and NLP algorithms through continuous optimization • Work closely with the product team to translate data-driven insights into market-ready, innovative solutions

• Design and build AI components — from concept to production • Scale and optimize existing AI solutions (performance, cost, stability — the full triathlon package) • Develop data pipelines, backends & APIs that feel good to both users and for logging • Automate CI/CD and deployments so releases don’t feel like an adventure • Ensure quality & performance — including continuous optimization of backend processes and NLP pipelines • Work closely with Product to turn data-driven insights into market-ready features