• Diseñar APIs/servicios backend que conecten y sincronicen datos entre AWS y Azure. • Construir conectores entre servicios cloud-nativos (ej. S3/SQS con Blob Storage/Event Grid). • Implementar arquitecturas orientadas a eventos (colas, webhooks, pub/sub) • Elegir el stack más adecuado por integración (Python, Node.js/TS, Java, Go u otros). • Diseñar contratos de API (REST/GraphQL/gRPC): versionado, auth (OAuth2/JWT), seguridad. • Escribir código probado y listo para producción; participar en code reviews. • Usar IA generativa (Copilot, Claude u otros) para acelerar desarrollo y documentación. • Diseñar/mantener pipelines CI/CD (GitHub Actions, ArgoCD) para los servicios que desarrolla. • Gestionar infraestructura como código (Terraform) en AWS y Azure. • Desplegar y operar en Kubernetes con Helm. • Dar observabilidad (Prometheus, Grafana, Datadog); rotaciones de guardia si aplica. • Explorar AIOps: IA/ML para detección de anomalías e incidentes. • Ser referente técnico ante el cliente en desarrollo y DevOps.

• The RTE leads all Program Increment planning events, coordinating capacity, sequencing, and feature prioritization across the ART in alignment with program management, customer direction and COR guidance. • The RTE maintains the Integrated Master Schedule (IMS) on a weekly basis, manages release-level Project Process Agreements (PPAs) in accordance with FDA EPLC requirements, and ensures all sprint plans reflect realistic team capacity and accurate task-level estimates. • The RTE prepares and maintains release plan summaries, JIRA/ALM release plans mapped to sprint-level effort, and sprint status dashboards for review by the FDA Government IT PM. • The RTE serves as the primary integration point across all internal and external teams with dependencies on the program. • The RTE proactively identifies cross-team blockers, facilitates resolution, and escalates impediments to executive leadership when necessary. • The RTE drives participation from all impacted teams in end-to-end integration, regression, and UAT testing cycles for every FSDX release. • The RTE facilitates all ART-level ceremonies, including PI planning, System Demos, Inspect and Adapt workshops, and Scrum of Scrums. • The RTE coaches individual Scrum Masters and team-level Agile practices, fosters a culture of inspect and adapt, and drives measurable velocity improvements across the ART. • The RTE tracks and reports sprint burn rates, planned versus actual story point delivery, and release velocity trends, escalating potential overages to the Government IT PM immediately upon detection. • The RTE supports the Project Manager in preparing bi-weekly status reports, Monthly Status Reports (MSRs), and Monthly Financial Reports (MFRs) with accurate sprint metrics, burn rates, and risk indicators. • The RTE maintains the program-level Risk Management Plan, the RACI chart, and the Change Request Log, ensuring all items are tracked through closure and reflected in subsequent governance reporting. • The RTE maintains the program risk register and leads proactive risk identification, prioritization, and mitigation planning across all workstreams. • The RTE facilitates cross-team risk reviews during weekly status meetings and ensures newly identified risks are surfaced to FDA stakeholders immediately. • The RTE facilitates the integration of agency-approved AI tools and DevSecOps practices into the ART's delivery pipeline, supporting the program's commitment to leveraging AI for development efficiency, automated testing, intelligent workflow optimization, and documentation.

• Collaborate daily with fellow DevOps engineers and cross-functional engineering teams to build a scalable, high-performing foundation. • Design and maintain HIPAA-compliant, multi-account AWS infrastructure using Terraform and Terragrunt with a strict GitOps mindset. • Build resilient GitHub Actions pipelines and implement safe release strategies (e.g., Blue/Green, automated rollbacks) for Python/Django applications. • Ensure high availability, automated backups, and version upgrades for core data stores, including Postgres, ElastiCache (Redis), and OpenSearch. • Mature full-stack Datadog/CloudWatch telemetry, refine on-call workflows, lead blameless postmortems, and drive key metrics (MTTR, deployment frequency). • Enforce least-privilege access and automated security guardrails across AWS, database layers, and GitHub. • Create paved-path tooling and self-serve infrastructure that reduce friction, shorten test cycles, and lower cognitive load for product teams. • Author clear design docs, conduct thorough code reviews, mentor team members, and proactively identify operational risks before they impact production.

Role Description You're probably not looking for another DevOps job. You're looking for an opportunity to build the platform that everything else depends on. At NIVA Health, we're building AI-powered healthcare solutions, automation platforms and cloud-native applications that improve how healthcare is delivered. Now we're looking for the engineer who will make all of it reliable, scalable and production-ready. If you enjoy building infrastructure instead of firefighting it, keep reading. Here's what you'll be building: - Own the cloud platform behind our engineering and AI ecosystem. - Design CI/CD pipelines. - Automate deployments. - Improve security. - Manage Kubernetes environments. - Build Infrastructure as Code. - Ensure our engineers can deploy with confidence. You'll work closely with our AI Architect and Engineering team to create an environment where great software can move from idea to production quickly and safely. You’ll probably enjoy this role if you: - Automate everything you can. - Believe infrastructure should be repeatable, secure and scalable. - Enjoy solving reliability problems before they happen. - Love cloud architecture and modern DevOps practices. - Enjoy enabling developers rather than slowing them down. - Like building platforms that people trust. Qualifications - Experience with Google Cloud Platform (preferred) - Kubernetes - Docker - Terraform - GitHub Actions - CI/CD pipelines - Infrastructure as Code - Cloud Run - Networking & Security - Monitoring & Observability - Python or Bash scripting Benefits You'll join a small engineering team where you'll build the cloud platform that supports everything we create—from AI systems to internal healthcare applications. This isn't a maintenance role. You'll help shape how engineering operates for years to come.