Top Tech Jobs & Startup Jobs

Designs and maintains Rust software libraries, CLI tools, REST APIs, telemetry systems, tests, and automation. Collaborates with distributed engineering, QA, and DevOps teams to build scalable solutions and maintain Jenkins-based CI/CD pipelines. Troubleshoots customer escalations involving performance and stability, while contributing to documentation and engineering knowledge sharing. Requires strong Linux internals, distributed systems or enterprise storage, observability, debugging, and software development experience.

Designs, develops, and executes automated and manual tests for high-performance storage products serving HPC and AI markets. Responsibilities include building Python-based test automation, validating features and defect fixes in Linux environments, triaging daily failures, collaborating with distributed engineering teams, contributing to QA reports and release metrics, and validating product documentation.

Leads geographically distributed software engineering teams building the KV Cache Platform for large-scale LLM inference. Owns technical strategy, architecture, roadmap execution, customer deployments, production readiness, and engineering quality. Partners with product, sales, customer engineering, NVIDIA, and strategic partners while driving distributed systems development involving GPU optimization, caching, storage, networking, and AI infrastructure. Builds engineering talent and oversees releases, escalations, testing, observability, and operational excellence.

Deploy and customize DDN’s AI infrastructure solutions for strategic customers across on-premises, hybrid, and cloud-adjacent environments. Integrate NVIDIA AI Enterprise services, vector databases, RAG workflows, parallel and object storage, networking, and monitoring tools. Develop automation and deployment scripts, optimize AI and HPC workloads, troubleshoot Linux and distributed storage systems, and serve as the primary technical customer contact while coordinating with internal teams, vendors, and partners.

Designs and administers scalable Salesforce solutions across Sales Cloud, Service Cloud, and Experience Cloud. Translates stakeholder needs into requirements, user stories, data models, automations, integrations, portals, and platform configurations. Owns business process mapping, governance, reporting, UAT, sprint planning, documentation, training, and adoption across sales, partner, service, and revenue operations. Requires hands-on Salesforce administration and cross-cloud solution design, with Salesforce Administrator certification.

Own SEO, GEO, and content optimization strategy by researching search intent, improving content, and increasing visibility in traditional and AI-generated search. Use Semrush, GA4, and related tools to analyze rankings, traffic, content health, and competitive opportunities. Optimize page structure, metadata, schema, and Q&A content; refine chat playbooks in Qualified; build dashboards; and provide prioritized recommendations while collaborating with content, product marketing, web, and demand generation teams.

Design and build a software-defined storage cluster management platform, focusing on high-performance Go components and production-scale observability. Develop and optimize telemetry pipelines using OpenTelemetry, Prometheus, and VictoriaMetrics; troubleshoot Linux-based clustered storage systems; write tests, conduct code reviews, document standards, support Scrum delivery, and participate in a global on-call rotation.

Architect and implement a next-generation cloud-hosted storage control plane spanning web applications, cloud services, observability, microservices, and orchestration. Design scalable software-defined storage components, lead technical discussions, prototype solutions, review code, and improve reliability and performance. Collaborate with developers and program management on product releases, documentation, and project execution. Requires deep software architecture experience and hands-on C/C++ development on Linux/UNIX systems.

Lead the architecture and development of AI-powered engineering platforms, agentic development environments, inference infrastructure, and automated quality systems. Oversee GPU clusters, inference services, evaluation frameworks, testing strategies, and engineering guardrails. Guide technical direction, architecture, code reviews, platform productization, and Loop Engineering practices while mentoring engineers and partnering across software, AI research, platform, quality, and product teams.

Provides advanced technical support for strategic APAC customers using DDN high-performance storage and Lustre parallel file systems. Serves as a senior escalation point, troubleshoots complex Linux infrastructure and networking issues, develops test plans, collaborates with engineering, improves support tools and documentation, mentors junior engineers, and participates in on-call coverage. The role requires strong customer communication, stakeholder management, and occasional APAC travel.