DevOps (Platform Operations Engineer)

Description

Aetion is a healthcare technology company that provides real-world evidence (RWE) solutions and analytics software to biopharmaceutical companies, payers, and regulatory agencies. Their platform helps organizations analyze real-world healthcare data to generate scientifically validated insights about the safety, effectiveness, and value of medical treatments, guiding critical decisions in product development, regulatory approval, reimbursement, and clinical strategy.

We are transferring ownership of Privacy Hub—a highly sensitive, HIPAA- and ISO27001-compliant AWS environment—from a legacy, decentralized operations model into Aetion’s centralized engineering framework. To support this transition, we are seeking a delivery-focused engineer who can remove bottlenecks for our Data Science and Delivery teams by automating manual operational workflows and reducing recurring operational toil.

Requirements

• Scripting & Backend Development
  Proficiency in Python—particularly with Boto3 for AWS automation and PyTest for test coverage—and strong competency in Bash/Zsh scripting for operational tooling and environment management.
• AWS Services
  Hands-on experience with key AWS components, including Lambda for serverless compute, S3 for secure data lifecycle management (policies, encryption, lifecycle rules), IAM for roles, policies, and permission boundaries, and DynamoDB for lightweight backend and metadata storage.
• Infrastructure as Code
  Ability to develop, extend, and maintain Terraform modules, adhering to best practices for state management, modularization, and secure configuration.
• Operational & Security Tooling
  Familiarity with Jira Service Management for workflow intake and operations, GitHub for PR-based development workflows, and exposure to Wiz or similar cloud vulnerability platforms (preferred but not required).
• Delivery Mindset
  A strong bias toward user-centric and velocity-driven engineering — rapidly unblocking business needs while maintaining strict compliance and security controls. Demonstrates practical decision-making that balances speed, stability, and regulatory requirements.

Job responsibilities

• Data Operations Automation
  Design and implement automation to eliminate manual, ticket-driven workflows—such as client onboarding actions, S3 bucket provisioning, and data deletion requests—by replacing them with standardized, self-service solutions aligned with Datavant’s Cloud Infrastructure team practices. This reduces operational load, improves consistency, and enforces security/compliance controls by default.
• Operational Support for Data Science Workloads
  Serve as the primary technical responder for Data Scientist access issues, compute environment outages, and instance-level failures. Prioritize rapid triage and resolution to minimize downtime and maintain consistent delivery velocity across analytics and modeling teams.
• Legacy Code & Logic Extraction
  Analyze and reverse-engineer existing Python/Boto3 automation, Lambda workflows, and the legacy “Miradoor” backend to identify embedded business rules. Migrate the recovered logic into modernized, supportable tooling and workflows, ensuring long-term maintainability and alignment with centralized engineering standards.
• Compliance & Audit Operations
  Perform recurring compliance tasks—including ISO27001 backup validation, user access reviews, and policy adherence checks—to maintain continuous audit readiness throughout the transition period. Ensure documentation, evidence collection, and operational controls meet internal and external regulatory requirements.