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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.
Senior Staff Software Engineer
Location
United States
Posted
93 days ago
Salary
0
Seniority
Lead
No structured requirement data.
Job Description
Senior Staff Software Engineer
Data Direct Networks
This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We are seeking an exceptional Sr. Staff Software Engineer to join our team and lead the design, development, and evolution of next-generation storage infrastructure. This is a high-impact role where you will architect scalable, highly available storage solutions that power large-scale data-intensive workloads. You will collaborate closely with cross-functional teams, mentor engineers, and drive technical strategy for our distributed storage platforms. Key Responsibilities - Lead the end-to-end design and implementation of large-scale storage systems, including architecture reviews, system design documents, and technical roadmaps. - Design and optimize distributed systems with a focus on high availability, fault tolerance, scalability, and performance. - Drive innovation in storage technologies, including parallel filesystems and/or object storage systems. - Collaborate with product managers, infrastructure teams, and other engineers to define requirements and deliver robust, production-ready solutions. - Mentor senior and junior engineers, conduct code and design reviews, and foster best practices in software engineering. - Troubleshoot complex production issues in distributed environments and implement long-term preventive solutions. - Contribute to open-source projects or internal tools that advance the state of storage and distributed systems. - Stay current with industry trends and evaluate emerging technologies for adoption. Qualifications - 10+ years of professional software engineering experience, with at least 5 years in a Senior, Staff or principal role focused on backend or infrastructure systems. - Proven expertise in system design, including the ability to create scalable, maintainable architectures for complex distributed systems. - Deep understanding of distributed systems principles (consistency models, CAP theorem, consensus protocols, partitioning, replication, etc.). - Strong experience building or operating high-availability systems in production environments. - Hands-on experience with storage technologies: - Parallel filesystems (e.g., Lustre, GPFS/IBM Spectrum Scale, BeeGFS) and/or - Object storage systems (e.g., Ceph, S3-compatible APIs, MinIO, OpenStack Swift). - Proficiency in one or more management/orchestration frameworks (e.g., Kubernetes, Slurm, Mesos, or similar resource management systems). - Strong programming skills in Rust, C++, Go, or Java (Rust strongly preferred). - Excellent communication skills with a track record of influencing technical direction across teams. - Experience leading large-scale projects from conception through deployment and operations. Nice-to-Have Qualifications - Experience in High Performance Computing (HPC) environments, including workload schedulers, burst buffers, or scientific computing storage workflows. - Contributions to open-source storage projects (e.g., Ceph, Lustre). - Familiarity with cloud-native storage solutions and multi-cloud architectures. - Background in performance tuning and benchmarking of storage systems at scale. - Experience with data durability, erasure coding, or tiered storage strategies. 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. Company Description 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, you'll 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. 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.
Job Requirements
- 10+ years of professional software engineering experience, with at least 5 years in a Senior, Staff or principal role focused on backend or infrastructure systems.
- Proven expertise in system design, including the ability to create scalable, maintainable architectures for complex distributed systems.
- Deep understanding of distributed systems principles (consistency models, CAP theorem, consensus protocols, partitioning, replication, etc.).
- Strong experience building or operating high-availability systems in production environments.
- Hands-on experience with storage technologies:
- Parallel filesystems (e.g., Lustre, GPFS/IBM Spectrum Scale, BeeGFS) and/or
- Object storage systems (e.g., Ceph, S3-compatible APIs, MinIO, OpenStack Swift).
- Proficiency in one or more management/orchestration frameworks (e.g., Kubernetes, Slurm, Mesos, or similar resource management systems).
- Strong programming skills in Rust, C++, Go, or Java (Rust strongly preferred).
- Excellent communication skills with a track record of influencing technical direction across teams.
- Experience leading large-scale projects from conception through deployment and operations.
- Nice-to-Have Qualifications
- Experience in High Performance Computing (HPC) environments, including workload schedulers, burst buffers, or scientific computing storage workflows.
- Contributions to open-source storage projects (e.g., Ceph, Lustre).
- Familiarity with cloud-native storage solutions and multi-cloud architectures.
- Background in performance tuning and benchmarking of storage systems at scale.
- Experience with data durability, erasure coding, or tiered storage strategies.
- 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.
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