You will be part of a small, high-impact team responsible for creating the platform of the future — from greenfield infrastructure design to continuous improvement and automation at scale. This role demands deep expertise in Terraform, Kubernetes, and GitOps (ArgoCD or Flux), with a strong bias for action, performance, and reliability.

If you love building cloud-native systems from scratch, iterating fast, and enabling engineering teams to move at high velocity while maintaining world-class security and compliance — this is your playground.

Key Responsibilities

• Architect, build, and maintain scalable cloud infrastructure using Terraform across GCP (preferred) and multi-cloud environments (AWS, Azure).
• Design, deploy, and manage Kubernetes clusters for production-grade workloads, ensuring resilience, security, and observability.
• Implement GitOps workflows using ArgoCD or Flux, enabling fully automated, declarative deployments.
• Develop and manage CI/CD pipelines to support continuous delivery of microservices, data pipelines, and AI workloads.
• Collaborate closely with data, AI, and backend teams to design secure, performant environments for experimentation and deployment.
• Automate infrastructure operations, monitoring, and scaling through tools such as Terraform Cloud, Helm, and service meshes (e.g., Istio).
• Continuously improve platform performance, security, and developer experience through innovation and feedback loops.
• Support security, compliance, and auditability across environments — aligned with SOC 2, ISO 27001, HIPAA, GDPR, etc.
• Lead or contribute to internal platform documentation, standards, and best practices.

Required Qualifications

• 5+ years of experience in DevOps, Platform Engineering, or Infrastructure roles.
• Proven expertise in Terraform (Infrastructure as Code) and modular, reusable architectures.
• Strong hands-on experience with Kubernetes (GKE preferred) — including cluster design, scaling, networking, service mesh and observability.
• Practical experience with GitOps principles using ArgoCD or Flux for automated deployments.
• Solid understanding of CI/CD pipelines (GitLab, GitHub Actions, or similar).
• Familiarity with monitoring and logging stacks (Prometheus, Grafana, ELK/EFK, Cloud Logging).
• Strong scripting skills in Python, Bash, or Go.
• Experience managing cloud infrastructure in GCP, including IAM, VPC, CloudSQL, and Artifact Registry.
• Knowledge of container security, policy enforcement, and secret management (e.g., HashiCorp Vault, SOPS).
• Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent experience.

Preferred Qualifications

• Experience with multi-environment setups (dev, stage, prod) and blue/green or canary deployments.
• Exposure to service meshes (Istio) and messaging systems (NATS).
• Familiarity with Bitbucket pipelines.
• Understanding of compliance and security automation in regulated environments (SOC 2, ISO 27001, GxP).
• Experience integrating with AI/ML pipelines and data platforms (Vertex AI, Data Fusion, BigQuery).
• Contributions to open-source or internal DevOps tooling projects.

Why Join Us?

• Be part of a greenfield platform initiative - build from the ground up, design the architecture, and define the standards.
• Work in a fast-paced, iterative environment where experimentation and continuous improvement are core values.
• Collaborate with brilliant engineers and scientists building the future of AI in healthcare.
• Comprehensive private health coverage to support your physical and mental well-being.
• Company-sponsored gym membership and wellness benefits.
• Hybrid work model offering flexibility to balance your personal and professional life.
• Coffee, tea, beverages, and snacks to keep you fueled throughout the day.
• Company events and retreats to celebrate milestones together.