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 world's 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 a Sr. Software Development Engineer to 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 and maintain systems that remain reliable and accurate under high traffic conditions, while enabling AI-powered capabilities such as assisted insights, conversational analytics, and automated workflows. 

What You’ll Work On 

• Build and operate cloud-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 

• Identify and 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 

What We’re Looking For 

This role combines elements of software engineering and AI integration. It is suited for engineers who recognize the importance of strong system foundations in enabling effective AI capabilities. 

You should apply if you have:

• 4+ years of experience building or operating distributed 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 and operating RESTful services 

• Proficiency in 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 research expertise in 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  

You'll 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 that's 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 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.