Sr. Backend Engineer - AI Services (Remote)

Tealium

1d • $140,000 - $156,000 • Remote

About The Position

Tealium is seeking a Senior Backend Engineer to join our AI Services team. You’ll build and run the backend services and data/ML pipelines that power AI across Tealium’s Customer Data Platform, making high-volume, real-time, privacy-conscious customer data usable for intelligent experiences. You will own services end-to-end—from design and implementation through testing, deployment, and operations—in a modern, cloud-native environment. An experienced backend engineer comfortable with distributed systems and data/ML workflows in production. Someone who can own services end-to-end: design, implementation, testing, deployment, and operations. Strong ability to read, debug, and improve existing complex codebases, not just write greenfield services. A collaborator who works effectively with product managers, data scientists, and other engineering teams. An engineer who cares deeply about code quality, reliability, testing, and observability.

Requirements

• 4+ years building backend services and/or data/ML pipelines in production.
• Demonstrated experience owning services end-to-end (design, implementation, testing, deployment, operations).
• Strong ability to read and improve existing complex codebases.
• Strong proficiency in Java or Kotlin (or another JVM language) with a modern web framework.
• Strong foundation in distributed systems and service‑oriented architectures, including experience with RESTful APIs, asynchronous processing, and event‑driven designs.
• Experience with streaming or messaging systems (for example, Kafka).
• Experience with distributed data processing (for example, Spark or cloud data platforms).
• Hands-on experience with AWS or another major cloud provider.
• Familiarity with Infrastructure as Code (for example, Terraform or equivalent).
• Experience with CI/CD pipelines and containerized services (Docker, Kubernetes).
• Strong unit and integration testing habits and basic observability practices (logs, metrics, dashboards, alerts).

Nice To Haves

• Experience building platforms or services that support machine learning or AI‑driven features (such as model serving, feature stores, or experimentation platforms)
• Python
• Databricks
• MLflow
• Spark

Responsibilities

• Design, build, and operate backend services and APIs that power Tealium’s AI/ML capabilities (real-time scoring, batch enrichment, model-driven personalization).
• Implement and maintain data and ML pipelines for ingestion, transformation, feature computation, and inference (batch and streaming).
• Work with streaming and messaging systems (for example, Kafka) to handle high-volume event data reliably and efficiently.
• Use distributed data processing frameworks (for example, Spark or cloud data platforms) to build scalable batch and near real-time jobs.
• Partner with data scientists and ML engineers to productionize models and integrate them into online and offline systems.
• Deploy and operate services in AWS using containers (Docker), Kubernetes/EKS, and Infrastructure as Code (for example, Terraform or equivalent).
• Maintain strong testing discipline with unit and integration tests for services and pipelines.
• Improve observability with structured logs, metrics, dashboards, and alerts to ensure reliability and fast incident response.
• Mentor and provide technical guidance to other engineers, helping raise the bar on design, implementation, and operational excellence across the team.

Benefits

• Employees are eligible to receive an annual bonus and stock options.
• Employees and their families are eligible for medical, dental, vision, life, and disability insurance.
• Employees have the option to enroll in our 401k plan and are eligible to receive contributions for company matching.
• Employees are eligible for flexible paid time-off and extended paid parental leave.
• We offer 11 paid holidays annually with an additional Healium Be-Well break for most employees.
• We offer 15 hours of paid work time for volunteer activities and programs.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 501-1,000 employees