Sr Software Engineer, Enterprise GenAI

Adobe Systems
San Jose, United States of America
1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 302K

Job location

San Jose, United States of America

Tech stack

JavaScript
API
Artificial Intelligence
Continuous Delivery
Continuous Integration
Python
Web Applications
Data Storage Technologies
Test Driven Development
Large Language Models
Adobe
Information Technology
Web Technologies
Machine Learning Operations
Functional Programming
Data Pipelines
Docker
Microservices

Job description

The Adobe Firefly client team is seeking a senior pipeline and infrastructure engineer to contribute to an exciting, high-profile effort to establish Adobe as the best provider of creativity tools. We seek to empower the next generation of creators everywhere by turning creative intent into creative success.

We are crafting new AI/ML powered tools empowering self-expression and collaboration across the digital landscape. While implementing this far-reaching strategy, we are focusing on using product-driven development to drive rapid iteration and to continuously deliver measurable impact. This initiative is an outstanding opportunity to shape emerging next-generation products reaching millions of creators worldwide.

What are we looking for in an ideal lead back-end developer?

You will be joining a highly collaborative team of application and MLE engineers working closely with the internal product teams and collaborators. You have a user-centric approach, invite constructive collaboration, naturally strive to be a mentor and always work with a bias towards action. Most importantly, you enjoy independently solving complex problems, have a deep empathy for customers, and drive tangible results in a team-oriented culture.

What you'll do

  • Design, build, and maintain scalable backend services, APIs, and data pipelines.
  • Help establish architecture and quality coding practices for the Adobe Firefly client platform
  • Define long-term solutions for component-based architecture using functional programming
  • Work closely with the design team, product management and our internal clients translating early ideas into interactive prototypes
  • Engage with customers to identify problems, and refine workflows
  • Expand your knowledge and skills to stay ahead of the latest development, test, and deployment methodologies

Requirements

  • 7-10+ years of professional experience developing interactive web applications,
  • preferably in the creative tool domain
  • B.S or higher in Computer Science, or equivalent experience
  • Well-established practice of building and deploying web applications or interactive sites
  • High proficiency in Python and JavaScript
  • Confidence to be a pragmatic developer - especially in the areas of writing
  • high-performance, reliable and maintainable code
  • Experience with Docker and other container orchestration systems
  • Ability to perform independently in a hybrid or remote-first work environment supported by competent written and verbal communication skills

Bonus Qualifications

  • Experience developing ML Ops workflows

  • Fluent with Test Driven Development (TDD)

  • Experience with Continuous Integration/Continuous Deployment (CI/CD)

  • Exposure to generative AI models, including test-to-image and large language models

  • Experience with data storage and retrieval for multimedia assets

  • Experience in UX design, design systems or close collaboration with design teams

  • Knowledge of modern web technologies

  • #FireflyGenAI

About Adobe

Benefits & conditions

Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $159,200 -- $301,600 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.

In California, the pay range for this position is $208,300 - $301,600 In Washington, the pay range for this position is $190,200 - $275,400

At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).

In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.

About the company

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., 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.

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