eClinical Solutions

eClinical Solutions

eClinical Solutions is a leading provider of clinical data management solutions, offering software and services that enable organizations to maximize the value of their clinical data. Their elluminate platform empowers users with complete access to sta...

Professional Services
251-1K
Founded 2006

Description

  • Design and architect AWS-based infrastructure for a reliable, scalable, secure, high-performing Clinical Data Intelligence Platform.
  • Operationalize AI/ML capabilities across the platform and engineering team.
  • Drive infrastructure design and implementation from the ground up.
  • Build fully automated testing and code delivery mechanisms with minimal manual intervention.
  • Influence engineering standards, infrastructure strategy, and technical direction across teams.
  • Collaborate with Product Management, QA, and engineers throughout the SDLC.
  • Provide technical mentorship and guidance to other engineers.
  • Diagnose and resolve complex production issues across distributed systems.
  • Ensure solutions meet company quality standards and applicable industry regulations.
  • Contribute to technical documentation, including design specs, acceptance criteria, and release notes.

Requirements

  • Bachelor’s degree or higher preferred in Computer Science, Data Science, Engineering, or a related field, or equivalent work experience.
  • 10+ years of hands-on enterprise software engineering experience in scalable production environments preferred.
  • 8+ years of practical AWS experience preferred.
  • Experience managing and operating SaaS platforms on Kubernetes (EKS) and ECS, including container build, deployment, scaling, and troubleshooting.
  • Proven experience fully automating software release processes, including continuous delivery and automated rollback based on test validation.
  • Experience implementing and supporting MLOps pipelines for model training, validation, deployment, monitoring, and retraining.
  • Strong experience designing and implementing Infrastructure as Code using Terraform and CloudFormation.
  • Advanced scripting experience with Python, PowerShell, or Bash for automation and platform tooling.
  • Experience supporting automated test execution within CI/CD pipelines using TeamCity and Octopus Deploy.
  • Experience maintaining Bitbucket source control workflows and Jira traceability across code changes, builds, deployments, and work items.
  • Strong experience with monitoring and observability tools such as CloudWatch, Datadog, and/or New Relic.
  • Experience building infrastructure prepared to meet rigorous disaster recovery requirements.
  • Strong understanding of AWS networking, compute, storage, and security services, including VPC, EC2, Lambda, S3, IAM, WAF, and KMS.
  • Programming/scripting experience with Python, PowerShell, Bash, SQL, and .NET.
  • Experience with Docker, Kubernetes, AWS EKS and ECS, Terraform or equivalent, and SQL Server or equivalent.
  • AI/ML framework experience with TensorFlow, PyTorch, or scikit-learn preferred.
  • Experience with MLflow or an equivalent MLOps tool preferred.
  • Strong analytical, problem-solving, planning, coordination, and organizational skills.

Benefits

  • US pay range of $132,000 to $165,000.
  • Remote work recognition, including the 2025 Top Workplaces USA Award for Remote Work.
  • A people-first, inclusive culture that values diversity and authentic self-expression.
  • Opportunities to learn, grow, and continuously improve within the team.
  • Work for a company with strong vision, values, and work-life balance.
  • Equal opportunity employer commitment to fair, merit-based employment decisions.

Interested in this position?

Apply directly on the company website

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