Staff Software Engineer

October 17

🍂 Massachusetts – Remote

Although this job is listed in Massachusetts, this company may be open to hiring remote in other states.

⏰ Full Time

🔴 Lead

🧑‍💻 Full-stack Engineer

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DataRobot

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Artificial Intelligence • Enterprise • SaaS

DataRobot is a company that provides an AI platform and applications designed to integrate into core business processes. The company offers Enterprise AI Suite, AI Apps, and AI Platform services, which include Generative AI, Predictive AI, AI Governance, and AI Observability. DataRobot aims to help businesses develop, deliver, and govern AI solutions at scale, supporting industries such as energy, financial services, healthcare, manufacturing, and the public sector. With a focus on maximizing business impact and minimizing risk, DataRobot provides solutions that expedite deployment and secure numerous predictions each day.

501 - 1000 employees

Founded 2012

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

📋 Description

• 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.

🎯 Requirements

• 7+ years of backend engineering experience building scalable, high-performance distributed systems / services. • Strong experience with performance optimization: e.g. 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 (e.g. 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!