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We are looking for an experienced Staff Software Engineer to lead the development of scalable, high-impact applications and services that power our platform. In this role, you’ll work across the stack and across teams to deliver delightful solutions to our rapidly growing customer base. We serve some of the most data-driven technology organizations in the world, enabling them to build data products that ultimately enable better decision-making using trusted, well-governed data. Your work will directly impact our mission by improving the scalability, security, and usability of our platform for thousands of data practitioners. As a Staff Engineer, you’ll set technical direction, collaborate across multiple teams, mentor engineers, and drive best practices that elevate engineering excellence across the company.
Job Responsibility:
Design, build, and maintain full stack applications that scale with our growing customer base
Lead technical architecture discussions, ensuring the platform is performant, maintainable, and secure
Tackle ambiguous, open-ended problems with strategic thinking, balancing technical constraints with user needs and product goals
Build services, APIs, and experiences that support user delight, quality, high availability and performance
Work closely with Product, Design, Operations, and Security teams to deliver well-architected solutions
Define and drive best practices in testing, observability, and system reliability
Mentor engineers across the company, fostering technical growth and collaboration
Champion a culture of technical excellence and innovation, influencing engineering direction across multiple teams or domains
Requirements:
10+ years of experience as a software engineer developing SaaS platforms and applications at scale
Proven experience designing and scaling full stack applications
Proficiency with backend languages and frameworks such as Python, Go, Rust, django, Node.js, Java, Spring
Strong understanding of API design, system architecture, and database management
Experience leading complex projects and driving cross-functional collaboration
A systematic problem-solving approach, strong communication skills, and a sense of ownership
Familiarity with cloud infrastructure such as AWS, GCP, Azure, Kubernetes, Terraform
Ability to mentor engineers and influence technical direction across teams
Minimum requirement of Bachelor's Degree in a related field (computer science, computer engineering, etc.) OR completed enrollment in engineering related bootcamp
Nice to have:
Proficiency with modern frontend frameworks including React and TypeScript
Experience working with data engineering tools or data processing pipelines
Background in performance optimization and observability tools like Datadog
Experience working on distributed, remote-first teams
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