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.

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).
Bonus: 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.

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.
Our sick leave accrual is the following for our employees: Exempt CA employees (not including San Francisco) including NY : accrue 40 hours each year. Unused sick leave carries over into the next year. Employees cannot exceed 80 hours in a given year. Exempt Non - CA employees (not including NY) including SF: Accrue 1 hour every 30 hours worked. Cannot exceed 180 hours in the calendar year. Non-Exempt: accrue 1 hour every 30 hours worked. Unused carries over to the next year. Not to exceed 108 hours in a calendar year.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

backend servicesdata pipelinesML pipelinesJavaKotlindistributed systemsRESTful APIsasynchronous processingevent-driven designsunit testing

Soft Skills

mentoringtechnical guidancedesign improvementoperational excellence