Senior AI​/ML Platform Engineer, GovCloud

Overview

Medallia is the pioneer and market leader in Experience Management. Our award-winning SaaS platform, Medallia Experience Cloud, leads the market in the management of experiences, insights, and actions for candidates, customers, employees, patients, and residents alike.

We believe that every experience is a memory that can last a lifetime. Experiences shape the way people feel about a company. And they greatly influence how likely people are to advocate, contribute, and stay. At Medallia, we are committed to creating a world where organizations are loved by their customers and their employees.

We empower exceptional people to create extraordinary experiences together.

Bring your whole self.

We are looking for a Senior AI/ML Engineer to join our Medallia AI Platform team and lead the migration of our AI platform to AWS Gov Cloud. This role requires US citizenship due to Gov Cloud access and deployment requirements.

As a Senior AI/ML Engineer on the AI Platform team, you will architect and develop the building blocks of our next-generation AI products while spearheading our Gov Cloud migration initiative. You will work with cross-functional teams to deliver world-class AI capabilities to government and enterprise customers.

• Lead the migration of our AI/ML platform services to AWS Gov Cloud, ensuring compliance, security, and performance standards.

• Design and implement cloud-native ML infrastructure on AWS, including Sage Maker, ECS, EKS, and Lambda.

• Monitor, maintain, and optimize deployed models and ML pipelines in Gov Cloud environments.

• Build and maintain secure data pipelines across national boundaries, adhering to FedRAMP requirements.

• Collaborate with product and design teams to build innovative features for the Customer Experience space.

• Architect scalable solutions for large-scale data processing made available to clients with high performance.

• Design and implement APIs to power front-end applications.

• Identify process improvements: automating manual processes, optimizing data delivery, redesigning infrastructure for greater scalability.

• Participate in a scheduled on-call rotation to maintain the availability and reliability of both internal platforms and customer-facing production systems.

Candidates based in the Tysons vicinity will be prioritized as this role is Hybrid, 3 days per week onsite.

• Eligibility Requirement:
  Due to compliance restrictions for AWS Gov Cloud environments, US Citizenship is required for this role. Candidates must be eligible to obtain and maintain access to these secure environments.

• BA/BS degree in Computer Science or a related technical discipline, or equivalent practical experience.

• 5+ years of software development in production environments using Python, Java, or Scala.

• Demonstrated experience deploying and operating services on Kubernetes (K8s); familiarity with K8s-based deployment frameworks in regulated environments.

• Demonstrated experience with distributed systems:
  Spark, Hadoop, Kafka.

• Demonstrated experience with Relational SQL including Postgres.

• Demonstrated experience with code quality best practices and testing architectures on large codebases.

• Familiarity with AWS services (EC2, S3, IAM, VPC, EKS, Sage Maker) for cases where native AWS deployments are required outside the company's K8s framework.

• Experience with AWS Gov Cloud or FedRAMP-compliant environments.

• AWS Certified Machine Learning Specialty or Solutions Architect certification.

• Experience with ML model serving platforms:
  Tensor Flow Serving, TensorRT, Triton, KServe.

• Experience with data pipeline and workflow management tools such as Airflow or Kubeflow.

• Microservices development using Django or…