Software Principal Engineer I8 jobs at Dell in India

As a Senior Principal Software Engineer, you will deliver products and improvements for a changing world. Working at the cutting edge, you will craft and develop software for platforms, peripherals, applications and diagnostics — all with the most sophisticated technologies, tools, software engineering methodologies and partnerships.

You will:

• Serve as a global escalation point, collaborating with various teams to resolve issues.
• Examine technical email messaging and security incidents, conduct root cause analysis, and suggest long-term solutions.
• Collaborate with the email messaging operations team on user issues.
• Guide stakeholders and the internal messaging team in adopting best practices and enhancing services to meet business needs

Essential Requirements

• Graduate/ Masters with 12-15 years of relevant experience, including more than 5 years in email services within large enterprise companies.
• Exceptional ability to conduct escalation investigations, analyze and distill relevant findings, and determine root causes.
• Extensive knowledge of email security techniques and technologies, such as DMARC, DKIM, SPF, STARTTLS, Anti-Spam, Anti-Phishing, Email Attachment Defense, URL Defense, Microsoft Exchange Online, Cisco Secure Email, and Microsoft Defender for Office 365.
• Strong proficiency in Microsoft Exchange Online administration and Microsoft Outlook troubleshooting,Advanced powershell scripting and Automation
• Experience with Threat Protection and Proofpoint Protection (or Proofpoint-On-Demand) services.Advanced understanding of SMTP, RFC822, and related email protocols and standards
• Hands-on experience with Data Security, including Microsoft Purview solutions:Data Loss Prevention (DLP), eDiscovery, Azure Rights Management Services (ARMS
• Experience with Cloud Security solutions and best practices

Desirable Requirements

• Industry certifications (CISSP, MS Cybersecurity Architecture Expert, MS365 Admin Expert, Azure Security Engineer, etc.)
• Familiarity with enterprise faxing services, such as Genifax or similar platforms
• Working knowledge of AI-driven business solutions, including: Microsoft Copilot, Generative AI platforms, AI agents designed for enterprise workflows and automation

PowerScale, a Gartner Magic Quadrant leader in Unstructured Data Storage and Management is evolving by re-architecting its stack to cater to the unique demands of the consumer market in the GenAI era. The evolution is driven by efforts to modernize the stack through the development of advanced technologies in data storage systems, cluster management, distributed systems and container management. The modernization initiative will empower PowerScale to provide a composable, disaggregated, software-defined architecture with the capacity to store exabytes of data and deliver unparalleled performance.

What you’ll achieve

As ain the Unstructured Data Storage Protocols group, you will have the opportunity to use your expertise to work on innovative and cutting-edge technologies in our PowerScale product line. You will work as part of a highly skilled technical team, who provide solutions to our customer’s most complex issues. You will constantly be challenged in developing and improving new and current technologies with the support of your team behind you.

You will utilize a range of applicable technologies (e.g. programming languages, compilers, assemblers, debuggers, other tools) for products used in local, networked, and cloud environments. You will modify existing software products to add new functions to improve performance or enhance product usability. You will participate in product development in all stages from planning and design to development, testing and documentation.

You will:

• Participate in the preparation, review and evaluation of software/storage requirements and specifications
• Prepare written specifications for tasks of varied complexity from verbal requirements.
• Use defined software lifecycle methodologies
• Review and implement test strategies for software products

Essential Requirements

• Typically requires 3-5 years of related experience with a Bachelor’s degree; or an advanced degree without experience.
• Solid knowledge of programming languages: C, C++ and Python; operating systems (Windows/Linux); firmware; device drivers and databases.
• Able to code/debug moderately complex programs using written design specifications
• Knowledge of Network Attached Storage (NAS) and its application
• Good understanding of hardware and software interactions

Desirable Requirements

• Knowledge of distributed software systems, protocols such as SMB, NFS, or S3 interfaces in shippable software/services
• Understanding of the system calls, inter-process IPC or remote-procedure RPC calls, multiplexed I/O and concurrency models, system configuration, memory management,

Our customers’ system requirements are usually highly complex. Bringing together hardware and software systems design, Systems Development Engineering operates at the very cutting edge of technology to meet them. We design and develop electronic and electro-mechanical or systems-orientated products, conduct feasibility studies on engineering proposals and prepare installation, operation and maintenance specifications and instructions. We’re proud to deliver programs and products to the highest quality standards, on time and within budget.

As a Senior Systems Development Engineer, you will design, define and implement complex system requirements for customers and prepare studies and analyses of existing systems.
You will:

• Analyze validation requirements for Dell PowerEdge and AI servers, focusing on hardware and firmware integration validation.
• Design and implement intelligent test automation using AI and agentic tools to accelerate validation cycles.
• Execute hands-on testing on x86 / ARM based systems, configure systems, identify and report defects, and deliver detailed diagnostics.
• Collaborate with engineering teams to enhance test coverage and improve product quality.
• Utilize AI to extract insights from design specs and documentation, driving proactive validation and better customer outcomes.

Essential Requirements

• 5–8 years of hands-on experience in hardware and firmware validation, with a strong focus on delivering high-quality server products.
• Skilled in developing test automation and hands-on in exploring AI/agentic tools to enhance validation efficiency.
• Strong proficiency in Python and experience with AI frameworks (e.g., LangChain, AutoGPT, OpenAI API, Hugging Face).Deep understanding of LLMs, NLP, and cognitive architectures.
• Proven expertise and indepth knowledge in BIOS, FPGA and BMC areas. Working knowldege on 86 and ARM architectures.Experience with industry-standard protocols such as I2C, IPMI, and Redfish for server management.
• Proficient in server hardware, GPU-accelerated systems, and operating systems including RHEL, Ubuntu, and Windows.

Desirable Requirements

• Bachelor’s degree
• Ability to lead, motivate and direct a workgroup

Software Senior Engineer- DevOps

As a Senior DevOps Engineer you will implement and enforce DevOps standards and best practices

What you’ll achieve

• Design and lead the effort on DevOps solutions, automation, CI/CD processes and tools to improve engineering efficiency and deliver builds
• Develop and maintain infrastructure using Python, Linux scripting, and container technologies
• Integrate tools like Jenkins, Git, Jira, Artifactory, Docker
• Manage Servers / VMs infrastructure used for CI/CD process
• Explore and apply Gen AI capabilities to enhance DevOps workflows and engineering productivity

Essential Requirements

• 8+ years of hands-on experience in DevOps, automation, and CI/CD tooling
• Proficiency in Jenkins, Python development,
• Experience in Linux Internals, scripting, Makefile, build process
• Expertise in CI/CD tools, Git, Jira
• Experience in delivering builds, source control and branch management
• Strong problem-solving and analytical skills
• Ability to adapt to new technologies and processes quickly

Desirable Requirements

• Bachelor’s or master’s degree in computer science or related field

•Contribute to the design and architecture of high-quality, complex systems and software/storage environments
•Prepare, review and evaluate software/storage specifications for products and systems
•Contribute to the development and implementation of test strategies for complex software products and systems/for storage products and systems

Essential Requirements

• Experience in all phases of software development: feasibility, design, implementation, integration, test and delivery.Design, develop, and maintain Linux kernel-level device drivers for storage subsystems
• Expertise in Linux kernel, SCSI, SCST, Fiber Channel, Virtual Tape Libraries, I/O device drivers.Expertise in persistent memory, hardware assisted compression technologies
• Debug and resolve complex kernel and driver-level issues in production environments. Strong problem solving, troubleshooting, diagnostic skills
• Experience in one or more of the following languages: C, Python, Go.Knowledge of version control, bug tracking systems (Git, JIRA)
• Strong communication skills and an ability to articulate technical design while understanding business requirements, with the ability to debate and collaborate with other team members

Desirable Requirements

• Experience in Storage domain (SAN/NAS/Virtualization).
• Experience in developing software for software-defined infrastructure, including hybrid cloud/on-prem and multi-cloud environments.

As a

You will:

• Design, develop, and maintain different components of a Data Protection storage appliance

• Debug and resolve complex software, hardware, and network issues in production environments

• Take part in the full software development life cycle, including development, test, continuous delivery, and support

• Be an active member of an agile team, collaboratively realizing features through development, test, and delivery

Essential Requirements

• 8-12 years of experience in all phases of software development: feasibility, design, implementation, integration, test, and delivery

• Strong Linux/Distributed system programming knowledge and hands-on experience, with experience in designing and implementing complex storage sub-systems

• Proficient programming and debugging skills in C/C++ or Go, along with knowledge of version control (Git) and bug tracking systems (JIRA)

• Knowledge and expertise in Kubernetes

Desirable Requirements

• Experience in Linux kernel, persistent memory, SCSI, SCST, I/O device drivers, RAID, development related to NVMe devices

• Strong problem solving, troubleshooting, diagnostic skills with knowledge of performance analysis tools and techniques for multi-threaded distributed systems

1-December-25

As a Data Science Senior Advisor, you will be responsible for contributing to business strategy and influence decision making based on information gained from deep dive analysis. You will produce actionable and compelling recommendations by interpreting insights from complex data sets. You will design processes to consolidate and examine unstructured data to generate actionable insights. You will also partner with business leaders, engineers and industry experts to construct predictive models, algorithms and probability engines.
•Collaborate with internal and external teams to understand customer requirements
•Develop and apply a broad range of techniques and theories from statistics, machine learning, and business intelligence to deliver actionable business insights
•Develop and drive testing of algorithms efficacy for differing analytical use-cases
•Performs end-to-end steps involved in model development while establishing subject-matter expertise
•Work with the academic and business community to develop new techniques and to contribute to research in the area of large databases• 8 to 12 years of related experience
• Solid machine learning and statistical skills
• Solid Programming skills in Python (or any other language)
• Good understanding of business environment and industry trends
• Good communication and problem-solving skills and being customer focused
• Domian knowledge and understanding of Pricing industry
• Knowledge of industry LLMs, Agentic AI would be a plus
• Skilled at data storytelling—turning analytical findings into business insights and presenting them effectively to diverse audiences