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Surescripts · 2 days ago

Principal Cloud DataOps Engineer

United States

Full-time

Remote

Lead/Staff

$164K/yr - $201K/yr

8+ years exp

Surescripts is dedicated to enhancing health intelligence sharing to improve patient safety and quality care. The Principal Cloud DataOps Engineer will lead the architecture and evolution of cloud infrastructure and DataOps practices on the Google Cloud Platform, enabling data-driven innovation across the organization. This role involves mentoring teams, collaborating with stakeholders, and implementing scalable solutions in data engineering and AI/ML operations.

Information TechnologyReal TimeSecuritySoftware

Growth Opportunities

No H1B

Responsibilities

Serve as a technical thought leader and strategic advisor in cloud data infrastructure and operations

Partner with senior stakeholders across Data & Analytics, Network Technology & Operations, and business units to align cloud strategy with organizational goals

Mentor and guide senior engineers, fostering a culture of continuous learning, innovation, and accountability

Lead cross-functional teams in delivering complex, high-impact data and AI/ML Ops initiatives

Architect and implement scalable, secure, and resilient cloud infrastructure using GCP services and Infrastructure as Code (Terraform)

Define and promote best practices for CI/CD, observability, automation, and cloud-native development

Design and support robust ETL/ELT pipelines using Python, SQL, and GCP-native tools, ensuring high availability and performance

Collaborate with data scientists and AI/ML engineers to operationalize machine learning workflows

Implement and manage AI/ML Ops pipelines for model training, deployment, monitoring, and governance

Ensure reproducibility, scalability, and compliance of AI/ML models in production environments

Lead implementation of advanced data protection mechanisms including masking, encryption, and de-identification

Ensure compliance with HIPAA, PII, and other regulatory frameworks

Integrate data governance and quality tools (e.g., Informatica, Bigeye, Dataplex) into cloud workflows

Analyze and optimize infrastructure and pipeline performance, identifying bottlenecks and implementing scalable solutions

Establish and maintain monitoring, alerting, and incident response protocols for critical data systems

Qualification

Google Cloud PlatformDataOpsCI/CDInfrastructure as CodePythonSQLMLOpsData PrivacyData WarehousingKubernetesJavaJavaScriptApache AirflowData VisualizationCloud Security

Required

Bachelor's degree in computer science, Software Engineering, Information Technology, or related field; or equivalent experience

8+ years of progressive experience in Cloud DataOps, DevOps, or infrastructure engineering roles, with a strong focus on Google Cloud Platform (GCP) or equivalent cloud platforms

Proven experience leading large-scale cloud infrastructure and data platform initiatives, including cross-functional collaboration and strategic alignment

Deep expertise in CI/CD, IaC (Terraform), container orchestration (Kubernetes, GKE), and cloud-native data services

Strong programming skills in Python and SQL; familiarity with Java or JavaScript is a plus

Extensive experience with data warehousing (BigQuery), NoSQL (BigTable), and relational databases (AlloyDB)

Demonstrated knowledge of data privacy, security, and compliance in healthcare or regulated industries (e.g., HIPAA, PII)

Experience implementing and managing MLOps pipelines and tools, including model deployment, monitoring and governance