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Tier-1 employer plus mid-level cloud role and broad skillset moderately amplify competition.
Cloud and data platform skills transfer across industries, but healthcare data sensitivity raises domain specificity.
Explicit 4+ years plus many mandatory cloud, data, and DevOps technologies increase screening strictness.
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Lead design, development, testing, and maintenance of cloud-based, data-intensive applications using Java, Azure/AWS, APIs, and data storage technologies.
Drive continuous delivery and DevOps improvements, including configuration management, automation tools, and deployment strategies.
Collaborate closely with product owners, architects, and engineers in an Agile onshore-offshore model to deliver scalable, resilient, and secure data platforms including AI-powered solutions.
Bachelor's degree in engineering or equivalent experience.
Minimum 4 years of experience designing and implementing cloud-based applications.
Experience with Azure Kubernetes, Azure Databricks, Docker, Kafka, GitHub/GitHub Actions, SQL, and programming languages like Python or Scala.
Experience with Agile delivery, CI/CD methodologies, incident tracking tools like ServiceNow, and familiarity with RESTful APIs.
Experienced leader in building reliable, fault-tolerant cloud data platforms with strong software engineering and automation skills.
Expertise in AI techniques including Large Language Models (LLMs), Retrieval Augmented Generation (RAG), or autonomous agents integrated into scalable applications.
Skilled in collaborating within Agile global teams and handling data modeling, data warehousing, and containerized service models in hybrid or public cloud environments.