• Design, build, and maintain scalable, reliable infrastructure to support In Tandem’s technical platform • Partner with Engineering teams as an internal consultant on CI/CD pipelines while developing and maintaining best practices for managing maintainable pipelines. • Architect and operate containerized environments using primarily AWS ECS and RDS codified in Terraform • Manage and evolve cloud infrastructure across AWS services • Troubleshoot and resolve complex system issues related to networking, security, performance, and reliability • Partner closely with application engineers to enable safe, efficient, and repeatable software delivery • Lead infrastructure initiatives that improve platform resilience • Influence DevOps best practices, mentor teammates, and drive continuous improvement across the engineering organization

• Create scripts and leverage software tools to explore new features and provide new customer capabilities • Assist in troubleshooting and resolving issues that affect release scope, schedule, and quality • Create documentation around best practices and common issues for system configuration and operation • Consult with the Infrastructure team to uphold access control, data integrity and file system security for the computer/data center environment • After-hours and on-call work is required as part of the release cycle • Implementing and managing application development and deployment pipelines • Implements quality control and review systems throughout the deployment processes • Collaborate with technology leadership to improve the software engineering processes and practices associated with continuously building, deploying, and updating software and environments • Oversight and maturation of DevOps processes • Provide guidance to help project teams manage and deploy releases in a fast-paced Agile environment • Contribute to defining the strategic direction for DevOps and Release processes to focus on automating delivery model • Creates and monitors DevOps and Release Management metrics

• Maintain and support existing IT infrastructure and automation tools. • Lead and implement projects for continued infrastructure improvement, infrastructure automation, and deployments of new systems. • Combines understanding of automation needs and IT aspects to provide stable, efficient, and self-service R&D Stacks.

• Build, deploy, and troubleshoot microservices in Kubernetes and Amazon EKS, ensuring scalability and reliability. • Design secure, highly available web applications with a focus on capacity planning and performance optimization. • Deploy and manage the lifecycle of LLMs and embedding models, defining KPIs to measure and improve AI application performance. • Evaluate and integrate emerging technologies such as RAG systems, MCP servers, AI Agents, and agentic workflows into our platform. • Manage AWS core and GenAI services (S3, IAM, EKS, Bedrock, etc.) using infrastructure-as-code tools like Terraform and Chef, while maintaining observability through tools like New Relic or PagerDuty. • Collaborate across product, platform, and engineering teams on architecture design, security patching, incident response, and release management to ensure the reliability of our ML and GenAI infrastructure