About Nintex:
At Nintex, we are transforming the way people work, everywhere.
As the global standard for process intelligence and automation, we’re trusted by over 10,000 public and private sector organizations across 90 countries. Our customers, from industry giants like Amazon, Coca-Cola, and Microsoft, rely on the Nintex Platform to accelerate their digital transformation journeys by managing, automating, and optimizing business processes quickly and efficiently. We improve their lives through the technology we build.
We are committed to fostering a workplace that supports amazing people in doing their very best work every day. Collaboration is constant, our workplace is fun, the environment is fast-paced, and we value our people’s curiosity, ideas, and enthusiasm. Driven by passion and accountability, we take initiative, measure progress, and deliver results. Our culture fosters innovation and problem-solving, fueled by curiosity and a commitment to thinking big. Together, we move with agility, prioritize customer needs, and build unity through empathy, leaving a positive impact wherever we go.
About the role:
Nintex’s software engineers develop the next-generation technologies that change how people get work done more efficiently.
Your contribution will be:
- Design, develop, test, deploy, maintain, and enhance large scale software solutions.
- Provide technical leadership on high-impact projects. Manage project priorities, deadlines, and deliverables.
- Facilitate alignment and clarity across teams on goals, outcomes, and timelines. Influence and coach a distributed team of engineers.
- Lead the design and implementation of solutions in specialized ML areas, optimize ML infrastructure, and guide the development of model optimization and data processing strategies.
To be successful, we think you need:
- Bachelor’s degree or equivalent practical experience.
- 8 years of experience in software development.
- 5 years of experience testing and launching software products, and 3 years of experience with software design and architecture.
- 2+ years of experience with one or more of the following technologies: LLMs, LangChain/LangGraph, “tools”, MCP, multi-agent orchestration.
- 2+ years of experience leading AI design and optimizing infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
Preferred qualifications:
- Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
- 8 years of experience with data structures/algorithms.
- 3 years of experience in a technical leadership role leading project teams and setting technical direction, including working through ambiguity and pioneering new pathways.
- 3 years of experience working in a complex, matrixed organization involving cross-functional, cross-geography, or cross-org projects.
What’s in it for you?
Nintex has a hybrid working model, enabling us to build culture, learn, and grow together. We intentionally connect and collaborate, while emphasizing flexibility with a blend of at-home and in-office work. This role is remote, with intentional opportunities to collaborate and connect with your colleagues both async and in person
While our offerings differ from country to country, we offer our entire global workforce an array of exciting perks and benefits, including
- Global Gratitude and Recharge Days
- Flexible, paid time off policy
- Employee wellness programs and counseling resources
- Meaningful peer recognition and awards
- Paid parental leave
- Invention/patenting assistance
- Community impact, paid volunteer time, and opportunities
- Intercultural learning and celebration
- Multiple tools through which to learn and grow, and an incredible global community
View more about our benefits here: https://www.nintex.com/wp-content/uploads/2023/01/Global-Perks-and-Benefits.pdf.
Nintex participates in E-Verify for work authorization. We are an Equal Employment Opportunity Organization.
Nintex is committed to fair and transparent pay practices. The annual on-target earning range for this Staff Engineer position is [$147,000 – $220,000]. Pay within this range is determined by location, experience, skills, and qualifications. A portion of this salary range may be structured as variable compensation, with earnings based on factors such as individual performance, company performance, and achievement of specific metrics and objectives. Total compensation also includes medical, dental, vision, life insurance, 401(k) match, paid Global Gratitude & Recharge Days, paid volunteer time off, and more.
