Senior Software Engineering Manager – DPU, AI Cloud Infrastructure

Jobtailor; Milpitas (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Jobtailor seeks a senior engineering leader to shape the architecture and direction for AI cloud infrastructure and DPU-enabled networking. You will lead a team delivering core infrastructure software that makes high-performance AI cloud environments deployable, secure, observable, and production-ready.

You will participate in architecture reviews, design deep dives, and technical decision-making while driving platform capabilities across networking, policy enforcement, telemetry, and

Qualifications

• Bachelor's degree or higher with extensive related experience (C/C++, Python, Go).
• 5+ years of supervisory or management experience leading software engineering teams.
• Experience running engineering teams in networking, systems software, distributed systems, security platforms, infrastructure software, or hardware-accelerated platforms.
• Strong technical credibility including architecture, design, debugging, and implementation tradeoffs.
• Deep understanding of Linux systems, host networking, packet processing, routing, policy enforcement, virtualization, containers, and production debugging.
• Experience with CI/CD, test automation, observability, performance analysis, health checks, upgrade safety, rollback strategy, and production support.
• Strong understanding of secure development practices and security architecture for distributed infrastructure systems.

Responsibilities

• Shape the architecture and engineering direction for AI cloud infrastructure and DPU-enabled networking capabilities.
• Lead a team responsible for core infrastructure software that makes high-performance AI cloud environments deployable, secure, observable, and supportable.
• Participate directly in architecture reviews, design deep dives, prototype reviews, code reviews, debugging, and technical decision-making.
• Drive platform capabilities across infrastructure lifecycle, host networking, tenant isolation, policy enforcement, service integration, health, telemetry, and operational workflows.
• Evaluate emerging technologies, retire high-risk assumptions early, and guide pragmatic paths from prototype to production.
• Build repeatable engineering practices for validation, automation, rollout, diagnostics, upgrade safety, and production readiness.
• Hire, lead, mentor, and retain a high-performing team of technical leads, senior software engineers, and systems engineers.
• Partner across engineering, product, hardware, firmware, security, operations, and customer-facing teams to deliver coherent platform outcomes.

Skills

C/C++

Python

Go

Leadership in SW Eng

Linux systems

Networking

Distributed systems

Security architecture

CI/CD

Test automation

Education

Bachelor's +15 years / Master +12 years

Tools

Containers

Virtualization

Observability tools

Health checks

Debugging tools

Job description

• Shape the architecture and engineering direction for AI cloud infrastructure and DPU-enabled networking capabilities
• Lead a team responsible for core infrastructure software that makes high-performance AI cloud environments deployable, secure, observable, and supportable
• Participate directly in architecture reviews, design deep dives, prototype reviews, code reviews, debugging, and technical decision-making
• Drive platform capabilities across infrastructure lifecycle, host networking, tenant isolation, policy enforcement, service integration, health, telemetry, and operational workflows
• Evaluate emerging technologies, retire high-risk assumptions early, and guide pragmatic paths from prototype to production
• Build repeatable engineering practices for validation, automation, rollout, diagnostics, upgrade safety, and production readiness
• Hire, lead, mentor, and retain a high-performing team of technical leads, senior software engineers, and systems engineers
• Partner across engineering, product, hardware, firmware, security, operations, and customer-facing teams to deliver coherent platform outcomes

Requirements

• Bachelor's degree + 15 years, or Master's + 12 years of related experience with C/C++, Python, Go
• 5+ years of supervisory or management experience leading software engineering teams
• Experience running engineering teams in networking, systems software, distributed systems, security platforms, infrastructure software, or hardware-accelerated platforms
• Strong technical credibility including architecture, design, debugging, and implementation tradeoffs
• Deep understanding of Linux systems, host networking, packet processing, routing, policy enforcement, virtualization, containers, and production debugging
• Experience with CI/CD, test automation, observability, performance analysis, health checks, upgrade safety, rollback strategy, and production support
• Strong understanding of secure development practices and security architecture for distributed infrastructure systems.

Core Competencies

Demonstrates expertise in AI cloud infrastructure architecture, leading high-performance software engineering teams, and implementing secure, observable, and scalable systems. Proficient in C/C++, Python, and Go, with a strong focus on networking, systems software, and production readiness.

Highest-signal resume keywords

• AI Cloud Infrastructure Architecture
• C/C++ Programming
• Python Programming
• Leadership in Software Engineering
• Linux Systems Expertise

ATS Optimization Keywords

Hard Skills

• C/C++
• Python
• Go
• Linux Systems
• Networking
• Distributed Systems
• Security Architecture
• CI/CD
• Test Automation
• Performance Analysis

Soft Skills

• Team Leadership
• Mentoring
• Collaboration
• Technical Decision-Making
• Communication

Industry Keywords

• Infrastructure Software
• DPU-Enabled Networking
• Policy Enforcement
• Operational Workflows
• Production Support

Tools & Technologies

• Containers
• Virtualization
• Observability Tools
• Health Checks
• Debugging Tools