Staff Software Engineer, DataRobot

• Technical Proficiency: Expertise in Python, hands-on experience with Kubernetes architecture, including scheduling, auto-scaling, networking
• Strong systems design skills: ability to make thoughtful trade-offs between scalability, maintainability, and efficiency
• Demonstrated ability to solve ambiguous, open-ended challenges and own them to completion across multiple teams
• Experience improving reliability, availability, performance for a critical software subsystem
• Excellent communication skills and a track record of cross-functional collaboration
• Fluency in DevOps best practices, including CI/CD, observability, and secure software delivery pipelines
• Strong track record of defining technical direction and influencing decisions without formal authority
• Ability to track and report key delivery metrics to evaluate impact and guide improvements

Desirable

• We’re looking for a Staff Software Engineer for DataRobot Generative AI platform
• You will drive complex, cross-functional initiatives that directly align engineering execution with the company’s long-term strategic goals
• You will be responsible for delivering scalable, maintainable systems that solve ambiguous technical challenges and create meaningful product and customer impact
• Your work will help shape technical direction not just within your immediate team, but across multiple teams, ensuring smooth coordination and delivery of multi-quarter efforts
• Your ability to execute with high reliability—producing robust, well-tested systems that measurably advance key business outcomes—is essential to maintaining DataRobot’s position as a leader in AI
• Beyond technical execution, you will play a key role in mentoring others, fostering alignment across teams, and promoting a culture of continuous improvement
• Your communication skills and ability to drive clarity through trade-off discussions, documentation, and knowledge sharing will enable DataRobot to scale its engineering excellence while staying grounded in customer and business value
• Design and deliver robust, scalable internal platforms and services that enable fast, secure, and reliable software delivery
• Build automation that ensures microservices are secure, performant, and can be safely deployed to production
• Lead technical strategy and execution for cross-team initiatives with high ambiguity and complexity
• Drive continuous improvements to CI/CD infrastructure, enabling releases to shift from quarterly to weekly to daily cadence
• Mentor other engineers, carry out knowledge sharing sessions, and promote the culture of team growth
• Lead the technical roadmap for internal platform engineering efforts in collaboration with architects, SREs, and PMs