Staff Software Development Engineer 50
Frame.ioSan Jose$208k – $302kPosted 31 March 2026
Job Description
The Opportunity
B2B marketing is being reinvented. The buyers have changed — they expect consumer-grade experiences with enterprise-grade precision. Adobe Journey Optimizer B2B is how the world's most ambitious companies will meet that e xpectation, and the data foundation you build will make it possible.
We're building the platform that powers everything: the pipelines that move data, the APIs that unlock it for teams across AJO B2B, the flows that AI/ML and customer-facing products depend on. This is foundational work in the truest sense — the decisions you make now will shape how this product scales for years to come.
This is a rapidly growing product with a clear path to B2B marketing leadership. The customer base is expanding fast, and so is the complexity of what we need to deliver. We hold ourselves to a high bar: customers need
features, quality, and speed — and they need all three, not tradeoffs between them. That's a hard problem. It requires engineers who can see around corners, who build systems that bend without breaking, and who take
genuine pride in what ships.
How We Work
Our team is passionate about innovation, collaboration, and delivering impactful solutions that drive business outcomes. We experiment in a controlled way with observability and rollback plans. We document thoughtfully. The agentic AI augments our workflow making it all possible. We move fast, but not recklessly. We support creativity that yields results: novel approaches are welcome, when they ship to production and serve real customers.
What You'll Do
- Design and build the data pipelines — real-time streaming, batch ETL, CDC — that form the backbone of AJO-B2B
- Compose data access solutions and APIs that other engineering teams, ML systems, and customer products rely on
- Make architectural decisions that balance speed, reliability, and maintainability across Kafka, Spark, Snowflake, Airflow, MySQL stack
- Mentor engineers and elevate the team's capabilities through design reviews, pairing, and collaborative learning
- Champion engineering rigor: observability, testing, documentation, and operational excellence
- Partner with product and leadership to translate ambitious goals into systems that actually work at scale
- Integrate AI tooling into development workflows to ship quality features
- Build technical specifications, prototypes and presentations to communicate your ideas
What You Need to Succeed
- 7 years building software, with substantial experience in data-intensive systems
- Strong programming in Java or Scala with Spring Boot
- Deep understanding of distributed systems — you know how they fail and how to design for resilience
- Production experience with streaming (Kafka), batch processing (Spark), and orchestration (Airflow)
- Solid command of relational (MySQL/Postgres) and NoSQL (MongoDB) databases
- Experience with Docket and CI/CD
- A track record of technical leadership: shaping architecture, mentoring peers, driving decisions through influence
- Communication skills that make complex systems understandable to any audience
- Ownership mentality — you don't wait for permission to fix what's broken
- Comfort with ambiguity, adaptability to evolving priorities, and the ability to work autonomously.
What Will Set You Apart
- Experience building data platforms that other teams treat as critical infrastructure
- Exposure to AI/ML systems — as a data provider, platform builder, or consumer
- A creative streak — you challenge assumptions and find better ways, then prove them out
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 ... (truncated, view full listing at source)
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