Manager, Software Engineering

About this role

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Skills you'll use

What you'll do

• Lead, mentor, and grow a team of engineers building control plane and platform services, owning delivery, quality, and technical health.
• Drive system architecture and design for distributed, highly available services — APIs, schedulers, controllers, reconciliation loops, and state management.
• Stay technically hands-on: contribute to design reviews, prototype critical paths, and write production code where it matters most.
• Champion and operationalize AI-assisted engineering — using LLMs and agentic tooling to simplify development, automate triage, accelerate code review, and reduce toil. DDN Confidential
• Define and uphold engineering best practices across design, code quality, testing, observability, and operational readiness.
• Architect and review Kubernetes-based deployments, ensuring resilient, secure, and scalable workloads across hybrid environments.
• Translate product and business goals into clear technical roadmaps, milestones, and execution plans.
• Collaborate cross-functionally with QA, DevOps, release, and product to ensure reliable, scalable application delivery.
• Make pragmatic build-vs-buy and architecture trade-off decisions, balancing speed, cost, and long-term maintainability.
• Maintain clear documentation of systems, designs, and decisions. Required Skills & Experience

Who can apply

• Make pragmatic build-vs-buy and architecture trade-off decisions, balancing speed, cost, and long-term maintainability.
• Maintain clear documentation of systems, designs, and decisions. Required Skills & Experience
• Proven history designing and building control plane or platform applications — orchestration, distributed coordination, or infrastructure management systems.
• Strong, demonstrated architecture and system design skills, with a track record of shipping complex distributed systems.
• Strong, proven coding ability in a relevant language (e.g., Go, Python, Java, or C++); able to lead by example in code.
• Hands-on experience designing and operating Kubernetes workloads in production.
• Demonstrated use of AI tooling to simplify and improve engineering processes and developer productivity.
• Experience leading and growing engineering teams while remaining technically engaged.

About DDN

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