• Design, implement, maintain, and monitor reliable production systems at scale. • Lead incident response, mitigate production issues, and conduct post mortem analysis. • Proactively monitor performance, analyze system failures, identify bottlenecks, and propose solutions. • Create and support observability/monitoring tools and vendor integrations. • Drive the growth of a reliability culture, promoting cross-functional collaboration towards improving system reliability, scalability, resilience, and security. • Train and mentor other engineers.

• Automating and managing AWS/GCP cloud based production system • Build, release and configuration management • Setup best practises and processes for security of production systems. • Try PoC and quick roll-outs of ideas, in fast paced environments working alongside some of the most talented and smartest people in the industry. • Communicate effectively, both orally and in writing with a globally distributed team

• Manage cloud infrastructure and developer experience for a modern AWS-native SaaS platform. • Hands-on ownership of CI/CD pipelines, AWS infrastructure, and deployment tooling. • Collaborate with backend and frontend engineers to ship reliable infrastructure, handle incidents, and improve software deployment. • Maintain and extend AWS infrastructure across test, staging, and production using AWS CDK (TypeScript) and Terraform. • Manage compute (Lambda, ECS Fargate), networking (VPC, CloudFront, Route 53), storage (S3, DynamoDB), and messaging (SQS, EventBridge, MSK). • Review infrastructure PRs ensuring clean, consistent, well-documented IaC. • Own and enhance GitHub Actions pipelines for backend, containerized, and frontend services. • Maintain deployment safety controls, rollback, and environment promotion workflows. • Monitor system health with CloudWatch, New Relic, and AWS X-Ray. • Participate in on-call rotation, incident response, and proactive reliability improvements. • Manage AWS IAM roles, policies, GitHub OIDC flows, and secrets lifecycle with AWS Secrets Manager. • Collaborate with engineers, communicate changes clearly to stakeholders, and suggest process improvements.

• Build and maintain the infrastructure for concurrent AI trading agents, managing complex cron schedules, state files, and trailing stop processes. • Deploy and manage agent environments, including workspace persistence, isolated session management, and Model Context Protocol (MCP) server connectivity. • Design and operate pipelines for shipping trading skills and plugins to production without interrupting live trading activity. • Execute deployment strategies (blue/green, canary) ensuring active financial positions remain protected during every infrastructure change. • Build comprehensive alerting across the full stack using metrics, logs, and traces to detect agent failures, state file corruption, or infrastructure regressions before financial loss occurs. • Operate and scale core platform infrastructure, including Kubernetes (EKS) clusters, Redis, Postgres, ClickHouse, and Kafka. • Maintain blockchain node infrastructure and ensure stable connectivity to exchange APIs and on-chain transaction systems. • Lead incident response and on-call practices, including debugging, mitigation, and post-mortems to improve long-term platform reliability.