Software Development Engineer 30

Adobe•San Jose, CA

12d

About The Position

Our Company Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Adobe Journey Optimizer B2B Data and Integrations Team is building scalable, performant services and tools to enable modern-day Marketers with outstanding solutions that allow them to collaborate with Sales and engage on Account level. If you thrive and innovate in a fast-paced environment and interested working on a new product to reinvent B2B market, then this is an opportunity for you. Your Impact. Top-class Product: Design, develop, test, deploy, and monitor micro‑services that deliver critical product features end‑to‑end. Architect solutions that span multiple services and teams, ensuring cohesive behavior and scalability. Drive every phase of software delivery: design, implementation, reviews, automated testing (unit/integration/e2e), refactoring, debugging, and documentation. Partner with multi-functional teams to guarantee on‑time delivery of high‑quality, production‑ready product. Prototyping & Testing: Experiment with emergent technologies in a fast-paced environment and promote takeaways across the team. Fast prototyping to explore solutions for new and emerging problems. Design and implement comprehensive test suites covering happy paths, functional flows, error states, user journeys, and edge cases. Monitoring & Optimization: Architect and build comprehensive monitoring and alerting to detect anomalies, saturation, and regressions in real time. Ensure services are highly available, horizontally scalable, and tuned for high throughput/low latency while optimizing for cost efficiency. Security & Governance: Embed secure‑by‑design practices around PII handling, role‑based/attribute‑based access control, and audit trails for agent actions.

Requirements

BS or MS in Computer Science or equivalent engineering degree with 3+ years of experience working on enterprise software in distributed environment.
1+ years working with data processing systems.
Strong proficiency in Java or Scala.
Solid expertise in SQL (MySQL, Snowflake) and experience with at least one NoSQL store (preference: Mongo, Redis).
Experience working with streaming technologies like Kafka.
Experience with CI/CD related technologies, including Docker, K8s, Terraform
Expertise designing and building micro services and RESTful APIs.
Working knowledge of public cloud technologies (Azure, AWS)
Working knowledge of data privacy regulations (e.g., GDPR, CCPA) and secure data handling.
Ability to communicate complex technical concepts clearly to technical and non-technical audiences.
Proven track of problem solving, attention to detail, and results orientation.
Ability to demonstrate a high level of ownership and quality in fast-paced environment.

Nice To Haves

Experience with Spark, Databricks, Airflow.
Practical experience of tunning Spark jobs.
Experience building agentic workflows (LangChain, LangGraph, RAG, vector DBs, MCP)

Responsibilities

Design, develop, test, deploy, and monitor micro‑services that deliver critical product features end‑to‑end.
Architect solutions that span multiple services and teams, ensuring cohesive behavior and scalability.
Drive every phase of software delivery: design, implementation, reviews, automated testing (unit/integration/e2e), refactoring, debugging, and documentation.
Partner with multi-functional teams to guarantee on‑time delivery of high‑quality, production‑ready product.
Experiment with emergent technologies in a fast-paced environment and promote takeaways across the team.
Fast prototyping to explore solutions for new and emerging problems.
Design and implement comprehensive test suites covering happy paths, functional flows, error states, user journeys, and edge cases.
Architect and build comprehensive monitoring and alerting to detect anomalies, saturation, and regressions in real time.
Ensure services are highly available, horizontally scalable, and tuned for high throughput/low latency while optimizing for cost efficiency.
Embed secure‑by‑design practices around PII handling, role‑based/attribute‑based access control, and audit trails for agent actions.