Principal Cloud DataOps Engineer

Surescripts serves the nation through simpler, trusted health intelligence sharing, in order to increase patient safety, lower costs and ensure quality care. We deliver insights at critical points of care for better decisions — from streamlining prior authorizations to delivering comprehensive medication histories to facilitating messages between providers.
 

Job Summary:

The Principal Cloud DataOps Engineer is a strategic technical leader responsible for architecting and evolving enterprise-scale cloud infrastructure and DataOps practices on the Google Cloud Platform (GCP) to support data and analytics, DataCore strategic data initiatives. This role plays a critical part in enabling data-driven innovation across the organization by ensuring robust, secure, and scalable data and Artificial Intelligence, machine learning AI/ML operations.

As a senior member of the Data & Analytics’ Data Core organization, the Principal Engineer leads cross-functional initiatives, mentors’ technical teams, and influences cloud strategy and architecture. The role requires a blend of deep technical expertise, strategic thinking, and strong interpersonal skills to drive collaboration, innovation, and operational excellence across data engineering, analytics, and AI/ML Ops domains.

Responsibilities:

Strategic Leadership & Collaboration

• 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.

Cloud Infrastructure & DataOps Engineering

• 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.

AI/MLOps Enablement

• 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.

Data Privacy, Security & Governance

• 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.

Performance Optimization & Reliability

• 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.

Qualifications:

Basic Requirements:

• 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

Preferred Qualifications:

• Bachelor’s degree in computer science, Data Engineering, or related field
• Google Cloud certifications (e.g., Professional Cloud DevOps Engineer, Professional Data Engineer)
• Experience with healthcare data standards and e-prescribing systems
• Expertise in  Apache Airflow, and data observability platforms
• Familiarity with data visualization tools (e.g., Looker, Tableau)
• Strong understanding of cloud security architecture and best practices

Surescripts embraces flexibility through its Flexible Hybrid Work model for most positions. This model allows employees to work virtually while still utilizing our offices as collaboration centers. With alignment and agreement from your leadership, you can come and go from the office as needed.
 

To be considered for employment, applicants must have a valid U.S. work authorization allowing work without restrictions with Surecripts in the U.S. At this time, we are unable to provide support or provide sponsorship for immigration benefits such as work visas. Additionally, we do not participate in academic training programs or work-study programs through an academic institution that require employer endorsement of F-1/CPT or F-1/STEM.

Why Wait? Apply Now 

 
We’re a midsize company. This means you’re not just another employee ID number. Here, you can build real relationships and feel supported by truly awesome people with diverse backgrounds and talents in an innovative and collaborative work culture. We strive to create an environment where you can be yourself, share your ideas and work your way. We offer opportunities for employee development, as well as competitive compensation packages and extensive benefits.
 

At Surescripts, base pay is one part of our Total Rewards Package (which may also include bonus, benefits etc.) and is determined within a range. The base pay range for this position is $164,300 - $200,800 per year. Your base pay may vary within or outside of this range depending on a number of factors, including (but not limited to) your qualifications, skills, experience, and location.

Benefits include, but are not limited to, comprehensive healthcare (including infertility coverage), generous paid time off including paid childbirth and parental leave and mental health days, pet insurance, and 401(k) with company match and immediate vesting. To learn more, review the Keep You and Yours Healthy, Balancing Work and Life, and Where Talent Takes Shape links under the Better Benefits. Better Work. Better Life section of our careers site.
 

Physical and Mental Requirements

While performing duties of this job, an employee may be required to perform any, or all of the following: attend meetings in and out of the office, travel, communicate effectively (both orally and in writing), and be able to effectively use computers and other electronic and standard office equipment with, or without, a reasonable accommodation. Additionally, this job requires certain mental demands, including the ability to use judgement, withstand moderate amounts of stress and maintain attention to detail with, or without, a reasonable accommodation.

Surescripts is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate on the basis of race, color, religion, age, national origin, ancestry, disability, medical condition, marital status, pregnancy, genetic information, gender, sexual orientation, parental status, gender identity, gender expression, veteran status, or any other status protected under federal, state, or local law.