Senior Staff Software Engineer

Unleash is now part of Zendesk, and together we’re building intelligent, scalable platforms that bring AI-driven products directly to our customers’ workflows.

We are looking for a Senior Staff Software Engineer to serve as a technical leader within our R&D organization, shaping architecture and driving the delivery of robust, high-scale systems.

In this role, you will work closely with engineering, product, and leadership to turn complex problems into reliable, production-ready solutions, while raising the technical bar across the team.

What You’ll Be Doing

• Technical Leadership: Act as a technical authority across the team, driving architectural decisions and setting engineering standards.
• System Design & Architecture: Design and evolve scalable, distributed systems with a strong focus on reliability, performance, and security.
• Hands-on Engineering: Stay close to the code by implementing critical components, reviewing designs and code, and tackling the most complex technical challenges.
• AI-Centric Product Development: Partner with engineers and product leaders to build products where AI is a core part of the system design and customer value, from early architecture through production.
• Cross-Team Influence: Collaborate across R&D to align technical solutions with product and business goals.
• Mentorship: Mentor senior engineers and elevate engineering practices across the organization.
  
  

• 10+ years of professional software engineering experience, with proven impact at Staff level or above.
• A collaborative and flexible mindset, with the ability to connect between teams and align diverse stakeholders around technical direction.
• Extensive experience designing and operating large-scale, distributed SaaS systems.
• Strong experience building and maintaining multi-threaded and highly concurrent systems.
• Deep backend engineering expertise with a strong architectural mindset.
• Ability to navigate ambiguity, make high-impact technical decisions, and clearly communicate trade-offs.
• A high bar for software quality, reliability, and long-term maintainability.
  
  

• Languages & Frameworks: .NET, Node.js/Typescript (Major advantage)
• Cloud & Infrastructure: AWS, Kubernetes, Microsoft Azure (Advantage)
• Datastores: MongoDB, Elasticsearch
• Architecture: Microservices, cloud-native systems, event-driven architecture
  
  

• Experience building AI-first or AI-native products in production environments.
• Experience leading platform evolution or modernizing existing systems.
• Background in enterprise-grade or large-scale SaaS products.