Senior Software Engineering Manager, Core Cloud Compute

🕒 April 24

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Rescale

201 - 500 employees

Founded 2011

💰 $55M Series C on 2021-11

Rescale is High Performance Computing Built for the Cloud! ☁️Rescale empowers organizations to achieve science and engineering breakthroughs by eliminating complexity. From supersonic jets to personalized medicine, engineers are accelerating new product innovations with unprecedented speed and efficiency with the Rescale Platform - a solution for intelligent full-stack automation for big compute and R&D collaboration on hybrid cloud. Rescale enables IT leaders to deliver high performance computing as a service, with software automation on a hybrid cloud control plane with security, architecture, and financial controls.We are located in San Francisco and work with users in the aerospace, automotive, energy, life sciences, construction, marine, consumer products, and manufacturing industries. For more info [email protected]

📋 Description

• Developing technical excellence and leadership among the members of a high-performing engineering team. • Fostering effective use of AI-assisted software development across your team — from code agents and AI-augmented code review to automated operational tooling — and contribute to org-wide standards for how we integrate AI into the SDLC. • Scaling and extending Rescale's core job orchestration engine, leveraging VM and Kubernetes-based compute for large scale engineering simulations, across multiple public cloud providers. • Maintaining high operational expectations on core product — driving incident response, SLO discipline, and reduction of toil and incident load. • Driving alignment across EPD (Engineering, Product and Design) and with customer-facing teams (Support, Solutions, Sales) on product delivery and technical architecture.

🎯 Requirements

• 3+ years experience managing high-performing Software Engineering teams of 3–10 people, including senior and staff ICs. • Technically proficient as an IC, at least to Senior Engineer level, with demonstrated depth in scalable distributed systems. • Hands-on experience using AI tools in the SDLC as well as driving AI adoption on a team previously in a sustainable manner. • Production experience with at least one major cloud (AWS or Azure) at scale and familiarity with managed Kubernetes (EKS, AKS). • Led the delivery of, at least one multi-quarter architectural change with quantifiable impact in the past. • Experience managing a SaaS system powering a complex backend product, with meaningful on-call ownership, incident command, and SLO discipline.

🏖️ Benefits

• Offers Equity

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