• Design and implement solutions for indexing Atlan metadata assets • Ensure compliance and data governance • Collaborate with DevOps team for production readiness and maintainability

• Own the end-to-end architecture and delivery of scalable data solutions, with a strong emphasis on Databricks-based platforms and modern cloud ecosystems • Lead design and implementation of data pipelines, data models, and transformation frameworks that support analytics, reporting, and advanced use cases • Serve as a primary client-facing technical leader, building trusted relationships and guiding stakeholders through complex data challenges and solution decisions • Translate ambiguous business requirements into clear, actionable technical architectures and delivery plans • Establish and enforce best practices across data engineering, including data ingestion (pipeline orchestration, testing, and optimization) and DevOps • Drive platform strategy and architecture decisions, including lakehouse design, medallion architecture, and governance frameworks • Lead and mentor delivery teams, providing technical guidance, code reviews, and hands-on support to ensure successful project outcomes • Collaborate with cross-functional teams including data architects, analysts, and client stakeholders to ensure alignment and value delivery • Identify risks, proactively address challenges, and ensure high-quality, timely delivery across engagements • Contribute to internal capability building, including reusable frameworks, accelerators, and thought leadership • Support business development efforts by shaping technical solutions, contributing to proposals, and participating in client discussions

Role Description - This is a remote position. - Hands-on experience in Automating solutions in Power shell at L3 level - Experience in monitoring, troubleshooting, and executing Azure Runbooks for operational automation - Working knowledge of Microsoft 365 Groups management and support - Strong Experience in M365 License Management - Strong understanding of Agile methodologies, with experience working in Scrum or Kanban environments - Knowledge of Azure monitoring and diagnostics tools (Log Analytics, Application Insights, Alerts) - Good understanding of application security, reliability, and performance optimization in cloud environments - Excellent problem-solving, collaboration, and communication skills - Proficiency in DevOps practices, including CI/CD pipeline implementation and maintenance (Azure DevOps or GitHub Actions) - AZ-204 - Good understanding of M365 Security and Compliance features, including retention, audit, and data governance policies Qualifications - Required Technical Skill Set: MS Azure, M365, PowerShell Requirements - MS Azure - M365 - PowerShell

Role Description As we scale, we’re looking for an experienced and highly capable Platform Engineer to help build, secure, and scale the infrastructure powering Blooming Health’s rapidly growing platform. This is a US-based remote role with required overlap on EST hours. This Platform Engineer will play a critical role in strengthening the reliability, scalability, observability, and security of our infrastructure as the company enters its next phase of growth. Working closely with our existing DevOps and Engineering teams, this person will help mature platform operations, improve engineering enablement, and ensure our systems are built to support increasing scale, compliance requirements, and operational complexity. The ideal candidate is a strong technical self-starter who thrives in startup environments, communicates effectively across teams, and can quickly take ownership of infrastructure and platform initiatives in a fast-moving engineering organization. What You'll Do - Infrastructure Scaling & Reliability: Design, improve, and maintain scalable, reliable cloud infrastructure capable of supporting a rapidly growing SaaS platform and engineering organization. - Platform Engineering & Automation: Build and improve internal platform tooling, infrastructure automation, deployment workflows, and operational processes that increase engineering velocity and platform stability. - Cloud Infrastructure Management: Manage and optimize cloud environments across GCP and/or AWS, ensuring systems are secure, cost-effective, scalable, and operationally mature. - Infrastructure as Code: Lead infrastructure automation efforts using Terraform and modern infrastructure-as-code best practices to improve consistency, reliability, and operational efficiency. - Observability & Monitoring: Improve monitoring, alerting, logging, and observability practices across the platform. Help establish proactive operational visibility and improve incident response processes using tools such as New Relic. - Security & Compliance Partnership: Partner with Engineering and Compliance teams to strengthen infrastructure security, support compliance requirements, and improve operational readiness for secure and regulated environments. - Cross-Functional Collaboration: Work closely with Engineering, AI, and Product teams to support platform needs, improve developer workflows, and ensure infrastructure supports evolving product and AI initiatives. - Technical Execution & Problem Solving: Troubleshoot complex infrastructure and production issues, identify optimization opportunities, and proactively improve system performance, reliability, and scalability. Qualifications - Cloud Infrastructure Expertise: Strong hands-on experience with modern cloud platforms, including GCP and/or AWS. GCP experience is strongly preferred. - Terraform Experience: Deep experience building and managing infrastructure using Terraform and infrastructure-as-code best practices. - Software Engineering Capability: Comfortable writing and maintaining production-quality code and automation in Go, JavaScript, or TypeScript. - Startup & Growth-Stage Experience: Experience helping startups scale infrastructure and operational maturity through periods of rapid growth and increasing system complexity. - Observability & Monitoring Experience: Strong understanding of monitoring, logging, alerting, and production observability practices, including experience with tools such as New Relic. - Security & Scalability Mindset: Experience designing and maintaining secure, scalable production infrastructure with a strong understanding of operational reliability and engineering best practices. - Strong Communication & Collaboration Skills: Excellent written and verbal communication skills with the ability to clearly communicate technical requirements and collaborate effectively across teams. - Self-Starter Mentality: Highly proactive, resourceful, and capable of independently driving technical initiatives in fast-paced environments. Preferred Qualifications - Healthcare Technology Experience: Experience working within healthcare technology environments or supporting systems involving HIPAA, PHI, or regulated data is strongly preferred. - Compliance & Secure Infrastructure Experience: Familiarity supporting compliance-oriented engineering environments and collaborating with compliance or security stakeholders. - Distributed Team Collaboration: Experience working closely with distributed engineering and platform teams across multiple time zones. - Developer Enablement & Internal Platform Tooling: Experience building internal tooling, deployment systems, and infrastructure workflows that improve developer productivity and operational efficiency. - AI Infrastructure Exposure: Familiarity supporting infrastructure needs for AI/ML or data-intensive applications is a plus.