AI-Native Platform Engineer - Media Analytics

Description du poste:

The Opportunity

Adobe Media Analytics powers some of the world's largest digital experiences - from major live events to always-on streaming platforms. Our systems operate at a massive scale, with strict requirements around latency, reliability, cost efficiency, and correctness.

Media is a mature, critically important product. It doesn't tolerate experimentation in production - which makes building AI-assisted analytics and workflows managed by agents especially challenging, and especially interesting.

We seek an AI-Native Platform Engineer to help evolve the data and service foundations behind Adobe Analytics and Customer Journey Analytics.

You will ensure systems remain accurate and available during heavy traffic spikes. You will also develop new AI-powered experiences, including assisted insights, conversational analytics, and workflows directed by users.

If you enjoy building production systems that matter - and believe AI should be applied responsibly, observably, and with strong engineering rigor - you'll feel at home here.

What You'll Do

* Build and operate cloud-native, distributed information and application platforms that power analytics and AI-assisted features at scale.

* Design and evolve event-driven and streaming architectures (Kafka-based and similar) that remain reliable under peak traffic and failure conditions.

* Translate product and business requirements into robust, production-ready systems, not prototypes.

* Improve existing architectures by identifying operational risks, performance bottlenecks, and cost inefficiencies.

* Contribute across the full lifecycle: design, implementation, code review, testing, deployment, monitoring, and on-call.

* Participate in an on-call rotation and help improve incident response, observability, and system resilience.

* Enable AI-assisted experiences by incorporating AI/ML functionalities on top of strong data and platform foundations.

* Mentor other engineers and help raise the technical bar across the team.

What you'll need to succeed

This is not a pure AI role and not a traditional big-data role.
We're looking for engineers who understand that AI systems are only as good as the platforms they run on.

You likely have:

* 7+ years of hands-on experience building and operating distributed systems, backend services, or large-scale data platforms.

* Strong experience with event streaming and messaging systems (Kafka, Kafka Streams, Flink, Kinesis, or similar).

* Experience building data pipelines using Spark, Databricks, Flink, or comparable technologies.

* Solid understanding of operating production systems: Kubernetes, CI/CD, monitoring, alerting, and incident response.

* Experience designing and operating scalable REST services.

* Strong engineering fundamentals (Java preferred; Python familiarity a plus).

* A pragmatic approach: you care about correctness, performance, reliability, and cost - not just features.

AI-Related Expectations (Important)

* Be comfortable integrating AI/ML capabilities into production systems.

* Think critically about observability, evaluation, and failure modes for AI-assisted features.

* Care about responsible AI principles (privacy, transparency, safety) when shipping real user-facing functionality.

Nice to Have

* Scala experience.

* Strong observability background (Prometheus, Grafana, Splunk, Fluentbit).

* Experience operating systems during high-traffic or event-driven spikes.

* Prior exposure to AI-assisted features, LLM APIs, or AI-powered services in production.

* Familiarity with monitoring AI/ML systems (telemetry, drift, performance signals).

About Adobe
Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe's industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.

Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We're on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.

Let's Adobe together
At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create.

Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.

Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call +1 408-536-3015.

AI Use Guidelines for Interviews:
Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.

At Adobe, we empower employees to innovate with AI - and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it's restricted during live interviews. See how we think about AI in the hiring experience