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Build and maintain AI/ML models for greenhouse automation, using deep learning and Python to optimize crop yields and reduce environmental impact.
Senior penetration tester conducts authorized security assessments, exploits vulnerabilities, and produces reports to strengthen defenses for a federal agency's SOC.
Build and run automated tests for AI-driven healthcare data pipelines, validating ETL workflows, APIs, and ML model integrations to ensure data accuracy and regulatory compliance.
Build and deploy advanced agentic AI systems for healthcare, translating LLM research into scalable, low-latency clinical applications that reduce administrative burdens.
Lead UX design for consumer appliances, defining workflows, wireframes, and prototypes while collaborating with product, engineering, and industrial design teams to enhance user satisfaction.
Build and maintain automated test suites for enterprise software (MICAS, Synappx Manage) using SQL, .NET, and CI/CD pipelines, while supporting AI-driven QA initiatives.
Build and lead backend services for a petabyte-scale AI data platform, designing secure, resilient microservices and APIs that orchestrate hybrid cloud/on-prem storage and compute for AI workloads.
Lead security architecture for distributed storage platforms, embedding encryption, IAM, and multi-tenant isolation into S3-compatible, POSIX, and KV cache systems powering AI workloads.
Lead DevOps engineering for a data-intelligence platform, designing Kubernetes-based infrastructure, IaC with Terraform, and CI/CD pipelines to support hybrid cloud and on-prem storage systems.
Design and build scalable, reliable storage components for a cloud-native AI data platform using Go, Kubernetes, and AWS.
Staff Build Systems Engineer Department: Top Level - By Department Location: Pune Office Employment Type: FullTime DDN is seeking a Staff Build Systems Engineer to own the build, packaging, and developer build…
Owns the product strategy and roadmap for DDN’s AI Data Platform, aligning storage solutions with NVIDIA’s AI infrastructure stack to enable enterprise generative AI at scale.
Senior engineer troubleshooting distributed storage systems and AI-powered diagnostics for enterprise customers, focusing on root-cause analysis and performance tuning.
Build full-stack internal apps and AI-powered tools on DDN’s data platform, using Python, React, and GCP to automate and surface data for business teams.
Own the full lifecycle of Salesforce CPQ solutions—designing bundles, pricing models, and approvals, then coding in Apex/LWC and integrating with ERP/billing systems.
Design and maintain hybrid cloud/bare-metal infrastructure and developer platforms to ensure reliability and scalability for AI-focused software delivery.
Design and implement Salesforce Service Cloud solutions for post-sale customer support, including case management, entitlements, licensing, and customer portals.
Builds and maintains a Rust-based deployment and monitoring framework for high-performance storage systems handling AI workloads.
Build and maintain the core backend services for a petabyte-scale AI data platform, designing APIs, microservices, and automation to manage hybrid cloud/on-prem environments.
Coordinates DDN’s lab consolidation and hardware build support, ensuring R&D has the systems and capacity it needs while managing site moves, equipment migration, and build schedules.
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