Sr Staff Software Engineer

GE Healthcare GE Healthcare · Healthcare · Bengaluru, Karnātaka, India · Digital Technology / IT

Senior Staff Cloud Engineer responsible for designing, delivering, and governing secure, enterprise-scale cloud solutions on AWS, driving innovation through AI/ML-enabled infrastructure operations. This role defines cloud architecture strategy, establishes reusable engineering standards, and ensures alignment with enterprise cloud and security frameworks. Combines deep hands-on cloud engineering expertise with strong technical leadership, guiding teams, influencing architectural direction, and partnering with stakeholders to modernize healthcare technology platforms. Leads optimization efforts across performance, security, reliability, and cost, while integrating AI-driven automation, predictive monitoring, and infrastructure intelligence. Requires extensive experience building and operating large-scale cloud platforms, strong knowledge of cloud-native and distributed systems, familiarity with healthcare compliance standards, and the ability to mentor engineers, shape technical strategy, and drive operational excellence in a regulated, mission-critical environment.

What you'd actually do

  1. Design and implement secure, scalable, high-performance AWS-based solutions that meet enterprise business requirements
  2. Integrate AI-powered tools to automate infrastructure provisioning, optimize resource allocation, and enhance monitoring capabilities
  3. Provide technical leadership and mentorship to engineering teams, promoting cloud best practices and driving technical excellence
  4. Support L4+ troubleshooting and incident escalations
  5. Recommend cost-effective solutions with focus on financial operations optimization

Skills

Required

  • cloud engineering
  • cloud architecture
  • AWS
  • Microsoft Azure
  • cloud-native design patterns
  • microservices architecture
  • distributed systems
  • network architecture
  • API integrations
  • problem-solving
  • troubleshooting complex technical issues
  • healthcare compliance frameworks (HIPAA, HITECH, etc.)
  • technical leadership
  • mentorship
  • communication
  • consensus building

Nice to have

  • generative AI platforms
  • automation tools
  • infrastructure-as-code tools (Terraform, ARM templates, Bicep)
  • container orchestration (Kubernetes, Docker)
  • healthcare technology
  • other clouds (Azure/OCI)

What the JD emphasized

  • healthcare compliance standards
  • regulated, mission-critical environment
  • healthcare compliance frameworks (HIPAA, HITECH, etc.)
  • regulated industries

Other signals

  • AI/ML-enabled infrastructure operations
  • integrating AI-driven automation
  • predictive monitoring
  • infrastructure intelligence
  • AI-powered tools to automate infrastructure provisioning
  • AI agents and workflows for infrastructure-as-code generation
  • documentation automation
  • predictive maintenance
  • emerging AI technologies
  • machine learning solutions