Senior Software Engineer - Software Engineer

Dell • Seattle, MA

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About The Position

Software Engineer/Senior Software Engineer Join us to do the best work of your career and make a profound social impact as a Software Engineer/Senior Software Engineer on our Software Engineering Team in Round Rock, TX: Hopkinton, MA: Seattle WA and Raliegh NC. What you’ll achieve We build enterprise-grade, massively scalable cluster-based storage systems running across Linux and BSD. Our portfolio includes a multi-petabyte S3 object store and a scale-out NAS platform. We’re a modern, scrum-based engineering org that ships with high velocity and quality, using the best tools, hardware, and practices. As a Software Engineer, you will contribute anywhere in our stack and help us decide where your strengths best fit as you onboard. If you can explain how and where you’ll add outsized value in a distributed storage architecture, we want to talk. You will: Own problems end-to-end across design, implementation, testing, deployment, and supportability—within a cluster storage system. Build and harden distributed services: durability, consistency, replication, data paths, metadata, control planes, scheduling, placement, and lifecycle management. Optimize performance across compute, memory, IO, networking (including RDMA), and storage media (NVMe/SSD/HDD); drive latency and throughput improvements with data-driven profiling. Advance reliability through observability, telemetry, failure injection, chaos testing, and automated remediation; raise the bar on serviceability and supportability. Contribute to security & compliance with secure-by-default engineering. Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role: Where You Might Contribute You are expected to work across multiple skills in the following areas. Massively Scalable S3 Object Store Primarily Java (server-side), with deep IO paths in C++ Sophisticated networking including RDMA (RoCE) Scale-Out NAS Platform (BSD & Linux) Primarily C , with Python and C++ components BSD platform work, networking stack, file systems, NFS/SMB, POSIX semantics Device firmware/drivers, kernel development, NVMe/NVMe-oF Control Plane & Systems Management Cluster orchestration, configuration, leader election/consensus, upgrades/rollback, health & remediation APIs (REST/gRPC), CLI/UX tooling, tenant/resource isolation System Engineering Programming with Python, Linux Shell and an understanding data structures and algorithms OS Unix/Linux/BSD, NAS, Object storage/High availability services in private cloud/hybrid cloud environment Knows PostgreSQL/MySQL, LDAP, Data Analysis, Distributed systems Read/Write (IOPs, Latency, Bandwidth), I/O datapath, NFS, SMB, S3, ACLs, networking layers (switching, routing, vlans) Performance & Observability/Security, Serviceability & Supportability

Requirements

• Strength in systems programming and distributed systems fundamentals (concurrency, networking, storage, consistency, fault tolerance).
• Proficiency in at least one of C/C++ , Java , or Python ; willingness to learn across the stack.
• Experience with Linux or BSD development and debugging (e.g., perf, strace/dtrace/eBPF, tcpdump).
• Ability to write clean, testable code; familiarity with unit/integration/system testing and CI/CD.
• Clear communication, collaboration, and a bias for action.

Nice To Haves

• Kernel subsystems, device drivers, firmware; RDMA/verbs; SPDK/DPDK/JVM tuning and GC; async/reactive patterns; lock-free/concurrent data structures
• Filesystem internals; NFS/SMB semantics; S3 object store internals; erasure coding/Observability stacks, performance profiling at scale, chaos/failure-injection
• Security, crypto, FIPS/CC, secure boot, TPM, HSM integrations/Private or Public cloud (Microsoft Azure, Google GCP, and Amazon AWS)

Responsibilities

• Own problems end-to-end across design, implementation, testing, deployment, and supportability—within a cluster storage system.
• Build and harden distributed services: durability, consistency, replication, data paths, metadata, control planes, scheduling, placement, and lifecycle management.
• Optimize performance across compute, memory, IO, networking (including RDMA), and storage media (NVMe/SSD/HDD); drive latency and throughput improvements with data-driven profiling.
• Advance reliability through observability, telemetry, failure injection, chaos testing, and automated remediation; raise the bar on serviceability and supportability.
• Contribute to security & compliance with secure-by-default engineering.

Benefits

• Your life.
• Your health.
• Supported by your benefits.
• You can explore the overall benefits experience that awaits you as a Dell Technologies team member — right now at MyWellatDell.com

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 5,001-10,000 employees