Maya Ojha

Led the cloud-native migration of ETS online assessment platform onto AWS EKS, modernizing legacy test-delivery infrastructure to eliminate exam-day outages and support 2.5M annual high-stakes test sessions. Built resilient infrastructure with Terraform across multi-AZ compute (EC2), data services (RDS), and storage (S3), and delivered containerized assessment microservices using Docker, Helm, and Kubernetes for automated rolling updates and self-healing deployments. Implemented CI/CD with GitHub Actions and ArgoCD using GitOps and DevSecOps for secure, auditable releases, reducing platform and engineering release cycle time by 60%. Owned reliability and incident management by defining SLOs/SLIs/SLAs to sustain 99.99% availability, optimizing observability and autoscaling with Datadog/CloudWatch and reducing spend by 30% while maintaining peak traffic performance. Strengthened security via HashiCorp Vault, IAM, and Zero Trust controls, including automated secrets rotation to protect ca

Architected an on-premises Kubernetes platform for trading and market-data systems, modernizing legacy infrastructure to improve reliability for low-latency electronic trading. Tuned Linux networking and TCP/IP to sustain 90,000 peak orders per second with reliable packet delivery for order matching workloads. Automated and versioned infrastructure using Terraform for auditable, SEBI-compliant deployment and disaster recovery across data centers. Delivered containerized trading services with Docker and Helm on Kubernetes for consistent configuration across environments. Built CI/CD with GitLab CI and ArgoCD with GitOps, DevSecOps, and Policy-as-Code (OPA) to enforce regulatory compliance, reducing deployment lead time by 55%. Led reliability engineering with Prometheus, Grafana, and distributed tracing, and improved resilience using chaos engineering and HashiCorp Vault, automating failover validation with Python and Go to reduce mean recovery time by 40%.

Spearheaded development of Barclays’ Pre-Deal Check (PDC) platform, designing and building high-performance C++ and FIX protocol modules to enforce regulatory, credit, and risk controls for real-time trade validation prior to execution. Provided production support for business-critical trading applications, performing root-cause analysis and preventive remediation to maintain zero SLA breaches and continuous availability during peak activity. Automated operational workflows for reporting, exception handling, service recovery, and data maintenance using Python and SQL, eliminating 35+ hours of weekly manual effort. Collaborated with DevOps teams on CI/CD automation to improve release reliability and reduce post-deployment defects by 45%. Partnered with infrastructure and support teams to standardize deployment and monitoring practices, reducing recurring production incidents across trading environments.