Compute Software Architect

Role Overview

The Software Architect, Compute Platform and Control Plane will be a senior individual contributor

responsible for shaping the architecture and technical direction of the core software systems that power the

Compute infrastructure platform.

This role will work across the compute platform and control plane, spanning provisioning, scheduling,

placement, lifecycle management, capacity orchestration, fleet management, service APIs, and the

foundational distributed systems that support large-scale cloud infrastructure.

The ideal candidate brings exceptional depth in software architecture, distributed systems, and cloud

infrastructure, with the ability to reason across complex systems, identify structural weaknesses, simplify

architectures, and define designs that can operate reliably at hyperscale.

This architect will work closely with senior engineers, engineering leaders, product teams, and adjacent

infrastructure organizations to evolve the compute platform to the next level of scalability, reliability,

efficiency, and engineering velocity.

Key Responsibilities

Compute Platform Architecture

Define and evolve the architecture of the core compute software platform. Establish clear architectural

principles, service boundaries, APIs, interfaces, and ownership models across compute platform

components.

Compute Control Plane Architecture

Provide deep technical leadership across compute provisioning, scheduling and placement, capacity

discovery and allocation, instance and host lifecycle management, configuration and state management,

fleet orchestration, health monitoring and remediation, failure recovery, service APIs, and regional isolation.

Distributed Systems Leadership

Serve as a technical authority for distributed systems design. Drive architectural rigor in consistency,

concurrency, state management, partitioning, replication, idempotency, failure recovery, dependency

management, and service isolation.

Cloud Infrastructure Architecture

Apply deep cloud infrastructure expertise to the design and evolution of the compute platform. Understand

the end-to-end lifecycle of cloud compute capacity, from resource discovery and orchestration through

provisioning, customer consumption, maintenance, failure recovery, and retirement.

Reliability and Resiliency

Embed reliability and resilience into the architecture of the platform. Design for fault containment, graceful

degradation, recovery, retry safety, deployment safety, and failure isolation.

Scalability and Performance

Identify scaling limitations across the compute platform and control plane. Develop architectures that

improve throughput, latency, efficiency, and resource consumption while reducing unnecessary

infrastructure overhead.

Platform Simplification and Modernization

Identify legacy complexity, duplicated services, and architectural patterns that limit engineering velocity or

operational efficiency. Define pragmatic modernization strategies that allow critical systems to evolve

without unnecessary disruption.

AI-Enabled Platform Transformation

Help drive the use of AI to advance both the compute platform and software engineering practices. Identify

opportunities to apply AI to software development, testing, code analysis, debugging, operational

diagnostics, incident analysis, anomaly detection, failure prediction, root-cause analysis, capacity

optimization, and automated remediation.

Technical Leadership and Influence

Operate as a senior technical leader across organizational boundaries. Lead complex architecture reviews,

drive alignment on critical technical decisions, mentor senior engineers, and partner with Distinguished

Engineers, Architects, Directors, and Vice Presidents on long-term platform strategy.

Expected Impact

• A simpler, more coherent compute platform architecture.
• A highly scalable and resilient compute control plane.
• Clearer service boundaries and stronger platform APIs.
• Reduced architectural fragmentation and technical debt.
• Improved reliability and fault isolation.
• Better scalability and performance across critical services.
• Faster engineering velocity through reusable platform capabilities.
• More effective use of AI to improve engineering and operational workflows.

Minimum Qualifications

• 12+ years of experience in software engineering, distributed systems, cloud infrastructure, or large-scale

platform development.

• Deep expertise in software architecture and distributed systems.
• Strong experience designing and operating large-scale, highly available services.
• Significant experience with cloud infrastructure or large-scale infrastructure platforms.
• Strong understanding of control-plane architecture, service APIs, state management, orchestration, and

automation.

• Experience designing systems for scalability, reliability, fault tolerance, and operational efficiency.
• Ability to reason across large and complex software systems and identify architectural simplifications.
• Proven ability to influence technical direction across multiple engineering teams and organizations.
• Strong programming and systems fundamentals.

Preferred Qualifications

• Experience designing cloud compute platforms or large-scale infrastructure control planes.
• Deep experience with scheduling, placement, provisioning, resource management, or fleet orchestration

systems.

• Experience operating systems across multiple regions and failure domains.
• Experience modernizing large-scale infrastructure software while maintaining production stability.
• Strong understanding of cloud infrastructure economics and the relationship between architecture,

utilization, and cost.

• Experience applying AI-assisted development or AI-driven operational techniques in production

engineering environments.

• Experience working with GPU or accelerated compute infrastructure from a software platform

perspective.

• Bachelor's, Master's, or PhD degree in Computer Science, Computer Engineering, or a related technical

discipline.

Technical Profile

The ideal candidate is a hands-on software architect with deep technical credibility and broad systems

perspective. They are comfortable going deep into distributed protocols, state machines, consistency

models, service interfaces, failure modes, and performance bottlenecks, while also reasoning about the

architecture of a very large cloud platform as a whole.

Most importantly, they will combine deep software architecture expertise with strong cloud infrastructure

judgment and the ability to influence the direction of critical compute systems across the organization.

Acknowledged expert/professional within company and/or industry nationally and internationally. Provides leadership in the development and strategic direction of new products, processes, techniques. Acts as primary consultant on large projects that effect the organization's long term objectives / strategy. BS or MS degree or equivalent experience relevant to functional area. 10 more years of software engineering or related experience.