Principal Engineer - Revenue Management & Intelligence in United States at Jobgether

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Principal Engineer – Revenue Management & Intelligence based in the United States.

This is an exceptional opportunity for a senior technology leader to shape the future of AI-powered revenue intelligence platforms used by organizations worldwide. In this strategic role, you will drive the architecture and evolution of highly scalable, data-intensive systems that empower modern revenue teams to make smarter, faster decisions. Working within a collaborative and innovation-driven engineering environment, you will influence technical direction across multiple teams, mentor senior engineers, and contribute to the development of cutting-edge cloud-native solutions. The position offers significant ownership, high visibility, and the opportunity to solve complex technical challenges at enterprise scale while helping define the next generation of intelligent business platforms.

• Lead the architecture, design, and delivery of large-scale distributed systems and revenue intelligence platforms.
• Define long-term technical strategy and make critical architecture decisions across multiple engineering teams.
• Partner closely with Product Managers, Designers, and cross-functional stakeholders to conceptualize and build innovative features and platform capabilities.
• Drive engineering excellence by improving system reliability, observability, scalability, and operational efficiency.
• Debug and resolve complex production issues across services and infrastructure layers.
• Design future-proof APIs and interfaces that support evolving business and customer requirements.
• Mentor and coach Staff and Senior Engineers, fostering technical growth and best practices across the organization.
• Champion performance optimization initiatives, including latency reduction, cost efficiency, and high-throughput system scaling.

• 12+ years of experience designing and building distributed systems, platform infrastructure, or large-scale enterprise applications.
• Expert-level proficiency in Java or comparable object-oriented programming languages.
• Strong hands-on experience with cloud environments such as AWS or GCP, including Kubernetes platforms (EKS/GKE), serverless services, and managed cloud solutions.
• Deep knowledge of infrastructure and platform technologies, including Kubernetes, Terraform, Airflow, Ray, FastAPI, and gRPC.
• Extensive experience with messaging systems and distributed data architectures, including Kafka, Kinesis, Redis, and fault-tolerant system design.
• Strong expertise in SQL and NoSQL databases, data modeling, query optimization, and large-scale data processing.
• Advanced knowledge of observability tools such as Prometheus, Grafana, Datadog, or Splunk.
• Demonstrated ability to lead cross-functional technical initiatives and influence engineering strategy at an organizational level.
• Excellent communication, leadership, problem-solving, and mentoring skills with a collaborative mindset.
• Passion for innovation, continuous improvement, and building AI-driven enterprise solutions.

• Remote-first work environment with flexibility and autonomy.
• Opportunity to work on industry-leading AI and revenue intelligence technologies.
• Exposure to highly complex technical challenges at global scale.
• Collaborative and inclusive engineering culture focused on learning and knowledge sharing.
• Significant ownership and influence over technical strategy and platform direction.
• Career growth opportunities within a rapidly evolving and innovative organization.
• Competitive compensation package, with salary determined based on experience, skills, and location.
• Comprehensive benefits package, including health and wellness offerings and additional employee support programs where applicable.