Job Overview
Location
Remote (United States)
Job Type
Full-time
Category
Engineering Manager
Date Posted
April 26, 2026
Full Job Description
đź“‹ Description
- • Lead the engineering team responsible for Rescale's core cloud computing orchestration engine, which powers a large portion of daily customer platform usage by running jobs across multiple public clouds globally.
- • Develop technical excellence and leadership within a high-performing engineering team, fostering growth and collaboration among engineers.
- • Drive the adoption and effective use of AI-assisted software development practices, including code agents, AI-augmented code review, and automated operational tooling, contributing to organization-wide standards for AI integration in the software development lifecycle.
- • Scale and extend Rescale's core job orchestration engine using VM and Kubernetes-based compute across major public cloud providers to support large-scale engineering simulations.
- • Maintain high operational standards by driving incident response, enforcing SLO discipline, and reducing toil and incident load on critical production systems.
- • Align efforts across Engineering, Product, and Design (EPD) and with customer-facing teams (Support, Solutions, Sales) to ensure cohesive product delivery and technical architecture.
- • Balance team and business needs, making strategic trade-offs between reliability investments and feature delivery while promoting sustainable engineering practices.
🎯 Requirements
- • 3+ years of experience managing high-performing software engineering teams of 3–10 people, including senior and individual contributor engineers.
- • Demonstrated technical proficiency as an individual contributor at least to Senior Engineer level, with deep expertise in scalable distributed systems.
- • Hands-on experience using AI tools in the software development lifecycle and a proven track record of driving AI adoption in a team setting in a sustainable manner.
- • Production experience with at least one major public cloud (AWS or Azure) at scale, including familiarity with managed Kubernetes services (EKS, AKS).
- • Experience leading the delivery of at least one multi-quarter architectural change with measurable, quantifiable impact.
- • Background in managing a SaaS system powering a complex backend product, including meaningful on-call responsibilities, incident command, and SLO ownership.
🏖️ Benefits
- • Opportunity to work on cutting-edge technology at the intersection of engineering, scientific discovery, and AI-driven innovation.
- • Remote work flexibility within the United States, enabling collaboration with a diverse, mission-driven team across time zones.
- • Impact-driven role where your leadership directly influences product reliability, scalability, and customer success in industries such as aerospace, energy, life sciences, and manufacturing.
- • Access to advanced tools and practices, including AI-augmented development environments and modern cloud-native infrastructure.
- • Culture of continuous learning and technical excellence, with encouragement to push boundaries in software engineering and system design.
- • Inclusive and equitable workplace committed to diversity, equity, and belonging, with equal opportunity employment practices.
Skills & Technologies
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About Rescale Inc.
Rescale Inc. operates a cloud simulation platform that lets engineers and scientists run high-performance computing workloads on multi-cloud infrastructure. The SaaS product automates job submission, hardware selection, software licensing, data management, and cost optimization across AWS, Azure, Google Cloud, and specialty HPC providers. Customers in aerospace, automotive, energy, life sciences, and semiconductor industries use the platform to accelerate product design cycles, reduce capital expenditure, and scale from single-core tests to thousands of parallel nodes without building on-premise clusters. Founded in 2011 and headquartered in San Francisco, the company partners with ANSYS, Siemens, Dassault, and other ISVs to deliver turnkey simulation environments.
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