Senior Manager, Software Engineering

This is an incredible opportunity to be part of a company that has been at the forefront of AI and high-performance data storage innovation for over two decades. DataDirect Networks (DDN) is a global market leader renowned for powering many of the worlds most demanding AI data centers in industries ranging from life sciences and healthcare to financial services autonomous cars Government academia research and manufacturing.

DDNs A3I solutions are transforming the landscape of AI infrastructure. IDC

The real differentiator is DDN. I never hesitate to recommend DDN. DDN is the de facto name for AI Storage in high performance environments - Marc Hamilton VP Solutions Architecture & Engineering NVIDIA

DDN is the global leader in AI and multi-cloud data management at scale. Our cutting-edge data intelligence platform is designed to accelerate AI workloads enabling organizations to extract maximum value from their data. With a proven track record of performance reliability and scalability DDN empowers businesses to tackle the most challenging AI and data-intensive workloads with confidence.

Our success is driven by our unwavering commitment to innovation customer-centricity and a team of passionate professionals who bring their expertise and dedication to every project. This is a chance to make a significant impact at a company that is shaping the future of AI and data management.

Our commitment to innovation customer success and market leadership makes this an exciting and rewarding role for a driven professional looking to make a lasting impact in the world of AI and data storage.

We are looking for an experienced Software Engineering Manager to lead a team of talented engineers building next-generation storage this role you will own the technical strategy delivery and operational excellence of large-scale distributed storage systems. You will guide the team through complex architectural decisions foster a high-performing culture and partner closely with product infrastructure and leadership teams to deliver reliable high-availability solutions for data-intensive workloads.

Key Responsibilities

• Lead and grow a team of senior and principal engineers focused on distributed storage systems including hiring top talent mentoring career development and performance management.
• Define and drive the technical roadmap for storage platforms balancing innovation scalability reliability and delivery velocity.
• Oversee system design and architecture reviews ensuring solutions meet requirements for high availability fault tolerance performance and scalability in distributed environments.
• Partner with product management and stakeholders to translate business needs into technical priorities and executable plans.
• Establish engineering best practices processes and metrics to improve team productivity code quality and system reliability.
• Collaborate cross-functionally with infrastructure data and platform teams to align on shared goals and resolve dependencies.
• Manage project execution including scoping resourcing risk mitigation and on-time delivery of major initiatives.
• Represent the team in leadership forums communicate progress and challenges clearly and advocate for necessary resources.
• Troubleshoot critical production issues when needed and drive post-mortem processes to prevent recurrence.

Required Qualifications

• 10 years of professional software engineering experience with at least 5 years in an engineering management role leading teams of 8 engineers.
• Proven track record of managing backend or infrastructure teams that shipped large-scale distributed systems in production.
• Strong technical foundation in system design distributed systems (consistency consensus replication partitioning CAP theorem) and high-availability architectures.
• Experience overseeing storage system development or operations including:
  • Parallel filesystems (e.g. Lustre GPFS/IBM Spectrum Scale BeeGFS) and/or
  • Object storage systems (e.g. Ceph S3-compatible APIs MinIO OpenStack Swift).
• Familiarity with management and orchestration frameworks (e.g. Kubernetes Slurm Mesos or similar resource managers).
• Demonstrated success building and retaining high-performing teams in fast-paced environments.
• Excellent communication and influencing skills with experience presenting to technical and non-technical audiences.
• Experience with agile methodologies OKRs/KPIs and modern engineering practices (CI/CD observability incident management).

Nice-to-Have Qualifications

• Direct experience in High Performance Computing (HPC) environments or scientific computing workloads.
• Previous contributions to or deep operational knowledge of open-source storage projects (e.g. Ceph Lustre).
• Background in cloud-native storage multi-region deployments or hybrid cloud architectures.
• Experience scaling teams through organizational growth or restructuring.
• Hands-on expertise in performance optimization and benchmarking of petabyte-scale storage systems.

Salary Range for this role: $185000 - $235000

Join our dynamic and driven team where engineering excellence is at the heart of everything we do. We seek individuals who love to challenge themselves and are fueled by curiosity. Here youll have the opportunity to work across various areas of the company thanks to our flat organizational structure that encourages hands-on involvement and direct contributions to our mission. Leadership is earned by those who take initiative and consistently deliver outstanding results both in their work ethic and deliverables making strong prioritization skills essential. Additionally we value strong communication skills in all our engineers and researchers as they are crucial for the success of our teams and the company as a whole.

Interview Process: After submitting your application one of our recruiters will review your resume. If your application passes this stage you will be invited to a 30-minute interview during which a member of our team will ask some basic questions. If you clear the interview you will enter the main process which can consist of up to four interviews in total:

• Coding assessment: Often in a language of your choice.
• Systems design: Translate high-level requirements into a scalable fault-tolerant service (depending on role).
• Real-time problem-solving: Demonstrate practical skills in a live problem-solving session.
• Meet and greet with the wider team.
• Our goal is to finish the main process in 2-3 weeks at most.

DataDirect Networks (DDN) is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race color religion gender gender identity gender expression transgender sex stereotyping sexual orientation national origin disability protected Veteran Status or any other characteristic protected by applicable federal state or local law.

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