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Ethann Haq

@ethannhaq

Message

Senior Platform Engineer at PsychPlus who improved uptime to 99.97% and cut infrastructure spend by 32%.

United Kingdom

Message

At PsychPlus, I architect and own multi-cloud infrastructure for mental health SaaS products, achieving a 99.97% uptime SLA. I built Kubernetes-based platforms and GitOps delivery pipelines that reduced infrastructure spend by 32% and shortened release cycles from three days to under 90 minutes.

At Blackford Technologies, I maintained AWS infrastructure for medical imaging pipelines and helped migrate monolithic deployments to Kubernetes microservices. Earlier, at Verbal AI, I designed AWS infrastructure for AI and NLP services and integrated Apache Kafka into real-time audio transcription pipelines.

Experience

Work history, roles, and key accomplishments

Current

Senior Platform Engineer

Current

PsychPlus

Mar 2023 - Present (3 years 7 months)

Architected and owned multi-cloud infrastructure on AWS and GCP for mental health SaaS products, achieving 99.97% uptime SLA for 200k+ active users. Established full SRE programme and built GitOps CI/CD pipelines, reducing MTTR by 60% and compressing release cycles.

AWS GCP Kubernetes Terraform Helm GitHub Actions ArgoCD Prometheus Grafana PagerDuty HashiCorp Vault Checkov Trivy IAM SRE GitOps

Senior DevOps / SRE Engineer

Blackford Technologies

Feb 2021 - Mar 2023 (2 years 1 month)

Owned and maintained highly available AWS infrastructure supporting AI-driven medical imaging analysis pipelines processing 5TB+ data daily. Migrated legacy deployments to Kubernetes and implemented GitOps workflows, reducing deployment times by 50% and P1 incidents by 42%.

AWS Amazon EKS EC2 Aurora RDS S3 Amazon Cloudfront Kubernetes ArgoCD Flux CD Prometheus Grafana ELK Stack Terraform Ansible WAF FinOps ISO 27001

Cloud / DevOps Engineer

Verbal AI

Dec 2019 - Feb 2021 (1 year 2 months)

Designed and provisioned AWS cloud infrastructure for AI/NLP services including real-time speech-to-text APIs handling 50k+ daily requests. Implemented CI/CD pipelines and integrated Apache Kafka for event-driven processing, improving data throughput by 35%.