Software Principal Engineer

Software Principal Engineer The Software Engineering team delivers next-generation software application enhancements and new products for a changing world. Working at the cutting edge, we design and develop software for platforms, peripherals, applications and diagnostics — all with the most advanced technologies, tools, software engineering methodologies and the collaboration of internal and external partners. Join us to do the best work of your career and make a profound social impact as a Software Principal Engineer on our Software Engineering Team in Bangalore/Pune. What you’ll achieve Dell’s Unstructured Data Solutions (UDS) business focuses on helping organizations manage, store, protect, and extract value from the rapidly growing volume of unstructured data —such as files, images, videos, logs, and sensor data. Unstructured data represents nearly 90% of annual data production , growing at an extremely fast rate, making scalable and efficient solutions essential. Dell UDS also provides advanced capabilities for AI workloads, metadata management, and data discovery through open architectures such as the Dell Data Lakehouse and enhanced metadata search via Elasticsearch integration, enabling organizations to analyze billions of files efficiently As a Software Principal Engineer, you will be responsible for developing sophisticated systems and software basis the customer’s business goals, needs and general business environment creating software solutions. We build enterprise-grade, massively scalable storage systems—clustered, high-performance, and resilient—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. You will : Design and build next-generation AI data platform storage - mission-critical components powering our AI strategy—giving you the opportunity to tackle state-of-the-art problems in scale, performance, and reliability. 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 computer, memory, IO, networking (including RDMA), and storage media (NVMe/SSD/HDD/AFA); drive latency and throughput improvements with data-driven profiling and advance reliability through observability, telemetry, failure injection, chaos testing, and automated remediation; raise the bar on serviceability and supportability. Collaborate in scrum teams; write clear design docs, PRDs, and RFCs; perform code reviews and mentor peers. Raise product quality via automated tests, CI/CD pipelines, build hygiene, and release engineering & Contribute to security & compliance (TLS, authN/Z, crypto, FIPS, STIG/NIST best practices) and secure-by-default engineering. Essential Requirements 8 - 12 years of experience in systems programming and distributed systems fundamentals (concurrency, networking, storage, consistency, fault tolerance). Proficiency in at least one of C, C and Python (good to have); willingness to learn across the stack. Experience with Linux or BSD development and debugging (e.g., performance, strace/dtrace/eBPF, tcpdump). Ability to write clean, testable code; familiarity with unit/integration/system testing and CI/CD. Must have experience designing subsystems, leading cross-team feature delivery, setting quality bars, improving observability and performance, and driving root-cause and reliability initiatives with clear communication, collaboration, and a bias for action Desirable Requirements Systems & Performance Engineering: Expertise in kernel subsystems, device drivers, firmware; RDMA/verbs; SPDK/DPDK; JVM tuning and GC; async/reactive patterns; lock-fre ... (truncated, view full listing at source)