ABOUT LINGO
Lingo is building the future of personal health insights through always-on biosensor data, real-time analytics, and personalized recommendations. Our platform ingests millions of readings daily, delivering clinically relevant insights to consumers and partners across the globe. As we expand across multiple regions, data architecture is mission-critical, ensuring our systems are scalable, secure, compliant, and able to power innovation across product, marketing, and R\&D.
THE OPPORTUNITY
Build and operate the cloud platform that powers Lingo’s global, regulated digital health products. Your work will enable high availability, rapid product iteration, and trustworthy experiences for customers and partners. You will deploy and run resilient, multi-region cloud infrastructure and services that meet high-availability and disaster recovery requirements, ensuring our digital health products are reliable at global scale. You’ll embed compliance-by-design (HIPAA/GDPR) with automated governance and auditable controls so teams can move fast without compromising trust. You’ll collaborate closely with Cloud Architect, Backend, Data, Security, Product, and Compliance to align platform capabilities with product goals, including support for real-time and batch data workloads.
WHAT YOU’LL DO
Code, automate, and manage multi-region infrastructure (K8s, VMs/VMSS, VNETs, App Gateway, Private Endpoints) using Infrastructure-as-Code (Terraform, Helm/Kustomize).
Build CI/CD pipelines for backend, mobile/web, data, and ML workloads (GitHub Actions/Azure DevOps), enabling trunk-based development, blue/green and canary releases, and artifact governance.
Secure-by-design operations: manage identity and secrets, enforce policy-as-code, deliver SBOM and dependency/container scanning, and maintain auditable change controls.
Ensure compliance while shipping quickly: align pipelines and deployments with HIPAA/GDPR, SOC 2, and medical device software expectations (e.g., IEC 62304, ISO 13485) in partnership with Security and Quality.
Engineer resilience: HA/DR patterns, backup/restore testing, multi-region failover, chaos exercises, and capacity planning to support 99.9%+ availability at global scale.
Optimize performance and cost: autoscaling, right-sizing, tiered storage, and usage observability across compute, network, and data services.
Enable AI/ML operations: provision GPU-ready K8s node pools, support model serving and real-time inference, integrate MLflow, and auto-scale event-driven workloads.
Improve developer experience: deliver paved paths, reusable templates, and internal platform tooling to accelerate secure, consistent delivery across teams.
Collaborate cross-functionally with Backend, Data, Mobile, Security, and Compliance to remove obstacles in a regulated environment and ship confidently.
REQUIRED QUALIFICATIONS
5+ years in DevOps/SRE/platform engineering for cloud-native, distributed systems; hands-on with Kubernetes in production.
Strong Infrastructure-as-Code and automation skills (Terraform, Helm/Kustomize), plus scripting (Python/Bash/PowerShell).
Proven CI/CD design and operation experience (GitHub Actions), including blue/green, canary, and environment promotion strategies.
Observability expertise: logs, metrics, tracing (Prometheus/Grafana, OpenTelemetry, Log Analytics); incident management and on-call ownership.
Solid networking and security fundamentals (TLS, DNS, load balancing, VNET design, network policies, WAF).
Clear communication, stakeholder alignment, and ability to connect reliability and speed to business outcomes.
PREFERRED QUALIFICATIONS
GitOps tooling (Argo CD/Flux), policy-as-code (OPA/Gatekeeper, Sentinel), service mesh (Istio/Linkerd).
Experience implementing DevSecOps controls and audit-ready pipelines; understanding of HIPAA/GDPR/SOC2 requirements.
Success working in regulated environments; understands medical device software constraints and QMS-aligned change control/documentation.
Kafka/Event Hub, and real-time stream processing; GPU scheduling and autoscaling for ML workloads.
Experience with ISO 27001, IEC 62304, ISO 13485, or computer system validation (CSV) practices.
Internal developer platforms/portals (e.g., Backstage) and self-service infrastructure design.
Cost optimization at scale and multi-region architecture for high-volume data (e.g. 100M+ daily biosensor readings).