Staff Software Engineer

Staff Software Engineer – Application Scalability & Performance As a Staff Software Engineer focused on Application Scalability & Performance, you will lead the design, implementation, and operation of backend systems that power high-throughput AI applications. Your work will ensure our applications perform with high accuracy, minimal latency, and robust scalability (including autoscaling), all while maintaining reliability, cost-effectiveness, and maintainability. You will collaborate closely with Product, Platform, and ML teams to deliver high impact. Key Responsibilities Architect, build, and lead backend services that scale to handle large workloads, high concurrency, and low latency requirements. Design and implement autoscaling strategies (horizontal/vertical), dynamic resource allocation, and load balancing to ensure responsive, cost-efficient service. Improve end‑to‑end request pipelines, optimizing for latency, throughput, reliability, and correctness. Instrument, monitor, and profile systems in production; identify bottlenecks, troubleshoot performance issues, and proactively tune services. Collaborate with ML/AI teams to ensure models’ serving pipelines uphold accuracy, consistency, and performance under load. Drive best practices in systems reliability, observability, error handling, capacity planning, resilience, and failover. Mentor and coach other engineers; provide technical leadership and influence across teams. Contribute to defining architecture, coding standards, performance benchmarks, and technical roadmap items related to scalability and performance. Knowledge, Skills, and Abilities 7+ years of backend engineering experience building scalable, high-performance distributed systems / services. Strong experience with performance optimization: profiling, latency tuning, concurrency, caching strategies. Deep experience with autoscaling, resource management, load balancing, throughput/latency SLAs. Solid programming skills in one or more backend languages (Python, Java, Go, C++, or equivalent). Strong understanding of observability and monitoring: metrics, tracing, logging; and instrumentation of services. Ability to solve ambiguous challenges and influence technical direction across teams, balancing performance, accuracy, and cost. Experience operating across multiple cloud providers (AWS, GCP, Azure) and/or hybrid environments. Nice to Have Experience with AI/ML model deployment, serving, inference, and production integration. Experience with Gen AI / serving LLMs, embeddings, etc. Exposure to on‑prem delivery models or regulated environments. Experience with Docker and building containerized applications. Benefits Medical, Dental & Vision Insurance, Flexible Time Off Program, Paid Holidays, Paid Parental Leave, Global Employee Assistance Program (EAP) and more Benefits may vary by location and local legal requirements. DataRobot Operating Principles Wow Our Customers Set High Standards Be Better Than Yesterday Be Rigorous Assume Positive Intent Have the Tough Conversations Be Better Together Debate, Decide, Commit Deliver Results Overcommunicate EEO Statement DataRobot is a proud Equal Employment Opportunity and affirmative action employer. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, gender identity, age, disability, or veteran status. We are committed to providing reasonable accommodations to applicants with disabilities. Please review the U.S. Department of Labor’s EEO poster for additional information. All applicant data submitted is handled in accordance with our Applicant Privacy Policy. Seniority Level Mid‑Senior level Employment Type Full‑time Job Function Engineering and Information Technology #J-18808-Ljbffr