Senior Software Engineer - PA111 - Workflows

ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You’ll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won’t just contribute. You’ll make things happen–fast.

ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You’ll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won’t just contribute—you’ll make things happen, fast.

As a Senior Software Engineer on the Backend Platform team, you’ll design and build the systems that power complex workflows, orchestration, and event-driven processing across ZoomInfo’s platform. You’ll work on highly scalable backend services that coordinate millions of events and workflows, enabling reliable automation and data processing at scale.

You’ll leverage technologies like Temporal, Google Cloud Workflows, Kafka, and modern backend frameworks to build resilient, observable, and fault-tolerant systems. Your work will be foundational to how data and processes move across ZoomInfo’s ecosystem.

Our engineering culture values diversity, intellectual curiosity, problem-solving, and openness. We encourage collaboration, big thinking, and calculated risk-taking in a blame-free environment. You’ll have the autonomy to work on meaningful projects while receiving the support and mentorship needed to grow your career.

What You'll do:

Design, build, and maintain scalable backend services using Java (Spring Boot) and Node.js (NestJS)

Develop and manage workflow orchestration systems using tools like Temporal, Google Cloud Workflows, or similar platforms

Build and optimize event-driven architectures using Kafka or other streaming technologies

Design systems for reliable job execution, retries, state management, and long-running processes

Ensure high availability, fault tolerance, and scalability of backend systems handling large volumes of events

Design and maintain APIs and internal services that integrate with workflow engines

Build observability into systems (logging, tracing, metrics) to monitor workflow health and performance

Collaborate with product and platform teams to define workflow requirements and execution guarantees (SLAs/SLOs)

Optimize system performance, throughput, and latency across distributed systems

Troubleshoot and resolve production issues in complex, asynchronous systems

Establish best practices for workflow design, idempotency, and error handling

Participate in code reviews and mentor engineers on backend and distributed systems design

Develop and maintain high-quality code across multiple systems and applications, ensuring adherence to coding standards, best practices, and architectural guidelines

Provide technical mentorship and guidance to junior and mid-level engineers, conducting thorough code reviews and sharing knowledge to elevate team capabilities

Collaborate on architectural decisions and technical design reviews, contributing expertise to ensure system scalability, maintainability, and performance

Lead medium to large-scale feature development and technical initiatives, working independently while coordinating with cross-functional teams

Participate in agile development processes, sprint planning, and technical discussions to drive continuous improvement in development practices

Stay current with emerging technologies and industry trends, evaluating new tools and frameworks for potential adoption

Support production systems through monitoring, troubleshooting, and implementing reliability improvements

What you bring:

Bachelor's degree in Computer Science, related field, or equivalent experience

5+ years of software engineering experience, with a focus on backend systems

Strong experience with Java (Spring Boot) and/or Node.js (NestJS)

Experience with workflow orchestration systems using tools like Temporal, Google Cloud Workflows, or similar platforms

Build and optimize event-driven architectures using Kafka or other streaming technologies

Design systems for reliable job execution, retries, state management, and long-running processes

Implement orchestration patterns for complex, multi-step business processes

Ensure high availability, fault tolerance, and scalability of backend systems handling large volumes of events

Design and maintain APIs and internal services that integrate with workflow engines

Build observability into systems (logging, tracing, metrics) to monitor workflow health and performance

Collaborate with product and platform teams to define workflow requirements and execution guarantees (SLAs/SLOs)

Optimize system performance, throughput, and latency across distributed systems

Troubleshoot and resolve production issues in complex, asynchronous syst…