Sr. Software Development Engineer (Java, K8s) Media Analytics

The Team & The Product

Adobe Streaming Media powers live events broadcast platforms and on-demand streaming experiences for some of the worlds largest media companies. When a major sporting event streams to millions of viewers simultaneously or a broadcaster needs per-session playback telemetry at scale the infrastructure underneath is ours.

Media Analytics is a production-critical platform not a prototype not a rewrite. It processes high-volume event streams with requirements on latency data correctness and cost efficiency. The engineering challenge here is not building from scratch; it is keeping a complex widely-used system reliable and observable while continuously improving it.

The Role

We are seeking aSr. Software Development Engineerto contribute to the evolution of data and service platforms behind Adobe Analytics and Customer Journey Analytics.

This role focuses on:

• Distributed systems

• Event streaming architectures

• Operational excellence

• Analytics and workflows refined by artificial intelligence

You will help build andmaintainsystems thatremainreliable andaccurateunder high traffic conditions while enabling AI-powered capabilities such as assisted insights conversational analytics and automated workflows.

WhatYoullWork On

• Build andoperatecloud-native distributed platforms for analytics and AI-enabled features

• Develop and improve event-driven and streaming platforms such as Kafka and related technologies

• Translate product and business requirements into scalable production-ready solutions

• Identifyand address performance reliability and cost challenges in existing systems

• Contribute across the development lifecycle: design implementation testing deployment and monitoring

• Participate in on-call rotations and support incident response and system reliability improvements

• Integrate AI/ML capabilities into production systems built on strong data foundations

• Collaborate with and support other engineers to improve overall system quality

WhatWereLooking For

This role combines elements ofsoftwareengineering and AI integration. It is suited for engineers who recognize the importance ofstrong systemfoundations in enabling effective AI capabilities.

You should apply if you have:

• 4 years of experience building oroperatingdistributed systems backend services or large-scale data platforms

• Experience with event streaming or messaging systems (e.g. Kafka Flink Kinesis)

• Experience with data processing frameworks (e.g. Spark Databricks Flink)

• Familiarity with production environments including Kubernetes CI/CD pipelines monitoring and incident response

• Experience designing andoperatingRESTful services

• Proficiencyin Java (Python or other languages are also valuable)

• Focus on reliability performance and cost efficiency in system design

AI-Related Expectations

This role does not require deep researchexpertisein AI.

However candidates should be able to:

• Incorporate AI/ML functionalities into production systems

• Evaluate system behavior observability and failure scenarios related to AI features

• Apply responsible AI principles including privacy transparency and safety

• Treat AI components within the overall system architecture

Youll stand out if you have:

• Experience with Scala

• Familiarity with CI/CD tools such as Jenkins or Argo

• Experience with observability tools (e.g. Prometheus Grafana Splunk)

• Experience operating systems under high-traffic conditions

• Exposure to AI-enabled features LLM APIs or production AI systems

• Familiarity with monitoring AI/ML performance and data quality

Why This Role

• Contribute to a widely used production-grade platform

• Help shape how AI is integrated into large-scale analytics systems

• Work on systems with real users real workloads and measurable impact

• Participate in platform-level decision making and technical direction

Why Media Analytics Why This Role

Media Analytics sits at an interesting intersection: a stable platform with real operational complexity a clear user base and measurable impact without the chaos of a system thats still figuring out what it is.

For engineers who find satisfaction in making systems more reliable and more efficient rather than chasing the next rewrite this is a strong fit. The Bucharest team operates with the same engineering standards and ownership model as any other Adobe location with direct input into technical direction.

About Adobe

Adobe empowers everyone to create through innovative platforms and tools that unleash creativityproductivityand personalized customer experiences. Adobes industry-leading offerings including Adobe Acrobat Studio Adobe Express Adobe Firefly Creative Cloud Adobe Experience Platform Adobe Experience Manager andGenStudio

Our 30000 employees worldwide are creating the future and raising the bar as we drive the next decade of growth.Wereon a mission to hire thevery bestand 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.

LetsAdobe together

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