Senior Principal Storage Systems Engineer Job at Microsoft Corporation (Redmond)

Senior Principal Engineer – Storage Data path - HPE Alletra MP X10000

Senior Principal Engineer – Storage Data path - HPE Alletra MP X10000 (Object St...

Location

India , Bangalore

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Bachelor's or master's degree in computer science, Information Systems, or equivalent
15+ years of experience in a product development environment on storage/system engineering
Track record of delivering V1 products (or early-stage product development) in modern storage technologies (Object/File storage for modern AI use-cases, Object storage, cloud storage)
Evidence of advancing storage technologies – new segment, industry standards/conference contributions
Experience concurrently driving technology development/delivery of multiple scrum teams
A track record of establishing and assuring adherence to performance requirements, work plans, and schedules for significant engineering initiatives
Excellent communications and interpersonal skills
Experience architecting, designing, and developing innovative software system design tools and languages
Excellent analytical and problem-solving skills
Experience in leading overall architecture of software systems for products and solutions

Job Responsibility

Develops organization-wide architectures, strategies, and methodologies for software systems design and development across multiple platforms and organizations within the Global Business Unit
Identifies and makes informed recommendations regarding new technologies, innovations, and outsourced development partner relationships for alignment with technology roadmap and business value
creates plans for integration and update into architecture
End-to-End Ownership and Technical Leadership
Anticipate bottlenecks and architect innovative solutions
Drive best practices and operational excellence both at the team and organizational level
Reviews, evaluates, and influences designs and project activities for compliance with development guidelines and standards
Provides tangible solutions that improve product quality and mitigate failure risk
Contributes to domain expertise, business acumen, and experience to influence decisions of executive business leadership, outsourced development partners, and industry standards groups
Brings creativity and innovation to the organization

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

New

Principal Engineer, Storage Data Science and Analytics

In the HPE Hybrid Cloud, we lead the innovation agenda and technology roadmap fo...

Location

India , Bengaluru

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

10+ years of proven industry experience in software product development or enterprise data science, with a heavy emphasis on distributed systems, storage, or cloud infrastructure architectures
Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, or a highly technical, data-oriented discipline
Advanced mastery of machine learning algorithms (time-series forecasting, clustering, anomaly detection, random forests) and deep learning frameworks
Expert Python/Go-lang programmer
Strong working knowledge of data structures, algorithmic complexity, and multi-threaded programming
Experience with C/C++ or system internals is a strong differentiator
Concrete experience building and fine-tuning LLMs, prompt engineering, and leveraging vector databases
Exceptional ability to explain highly technical architectural trade-offs, algorithms, and AI solutions clearly to non-technical business leaders and executive management
A proven track record of industry innovation, backed by whitepapers, industry conference contributions, or patents in software and analytical design
Cloud Architectures

Job Responsibility

Serve as the premier technical authority bridging advanced machine learning, GenAI, and big data analytics with HPE's next-generation cloud and storage ecosystem (HPE GreenLake and hybrid cloud)
Lead the architectural strategy to extract, analyze, and operationalize intelligence from vast telemetry data pipelines generated by enterprise file, block, and object storage systems
Define the organization-wide data architecture strategy and analytical roadmaps for software systems running across HPE's hybrid cloud platform
Develop predictive, prescriptive, and generative AI models to map data paths, enhance memory/space management, and predict capacity or hardware failure across global enterprise clusters
Validate highly complex, distributed telemetry data from customer storage networks to uncover structured insights that drive automated mitigation and system reliability
Design, deploy, and scale machine learning and deep learning code to run reliably in worldwide production edge-to-cloud environments
Collaborate with data engineering to establish standardized ELT patterns, big data storage views, and high-throughput, low-latency streaming pipelines (supporting Kafka, Spark, etc.)
Integrate advanced LLM workflows, Retrieval-Augmented Generation (RAG), and agentic systems into storage customer support analytics and digital products to automate troubleshooting
Partner with product management, storage hardware engineers, and business executives to translate abstract business challenges into production-ready analytical solutions
Provide career guidance, conduct design reviews, and actively mentor senior engineers and data scientists across multiple Scrum teams to foster an innovative technical community

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Fulltime

Cleared Senior/ Principal Computing Infrastructure Engineer

We are seeking a Computing Infrastructure Engineer to perform the full lifecycle...

Location

United States , Albuquerque

Salary:

87400.00 - 199700.00 USD / Year

Sandia National Laboratories

Expiration Date

Until further notice

Requirements

A Bachelor's degree in a relevant discipline and five (5) years of directly relevant experience, or an equivalent combination of directly relevant education and engineering or scientific experience that demonstrates the knowledge, skills, and ability to perform independent research and development
Experience in various operating systems (e.g., Linux, Windows), networking protocols, virtualization technologies
Experience in scripting languages (e.g., Python, Bash) and configuration management tools (e.g., Ansible, Puppet)
Experience in various network hardware components (e.g., Dell/HP servers and desktops, Thin Clients, Zero Clients, Firewalls)
Active DOE Q clearance

Job Responsibility

Perform the full lifecycle management (analysis, design, development, testing, integration and maintenance) of multi-user information systems including servers, storage, virtual and cloud infrastructures, and associated components and subsystems
Maintains the integrity of servers and systems to meet established requirements for service levels, disaster recovery, business continuity, and security
Coordinates and interfaces with customers, suppliers, and domain experts such as networking, software, and desktop personnel
Applies systematic, disciplined, and quantifiable engineering and life cycle management techniques and processes to deliver integrated information systems hardware for mission-enabled or direct mission deployment and production
Performs technical research and development to enable continuing innovation within the infrastructure
Evaluates, recommends, and may decide hardware and software technologies for hardware system solutions
Introduces new computer systems and technologies into current configurations for optimum information systems engineering functionality
Collaborates with customers, suppliers, and other domain experts such as networking, software and desktop personnel in the development and integration of hardware systems solutions
Performs hardware systems analysis, monitoring, troubleshooting, repair and recovery, disaster recovery, software installations, systems OS and software applications upgrades and security patches, performance tuning, hardware upgrades and resource optimization, maintenance of user accounts, and training users

What we offer

Challenging work with amazing impact that contributes to security, peace, and freedom worldwide
Extraordinary co-workers
Some of the best tools, equipment, and research facilities in the world
Career advancement and enrichment opportunities
Flexible work arrangements for many positions include 9/80 (work 80 hours every two weeks, with every other Friday off) and 4/10 (work 4 ten-hour days each week) compressed workweeks, part-time work, and telecommuting (a mix of onsite work and working from home)
Generous vacation, strong medical and other benefits, competitive 401k, learning opportunities, relocation assistance and amenities aimed at creating a solid work/life balance

Fulltime

Senior Principal Staff Software Engineer

As a Senior Staff Software Engineer, you will play a crucial role in fostering a...

Location

United States , Seattle

Salary:

198400.00 - 297600.00 USD / Year

Axon

Expiration Date

Until further notice

Requirements

Culture of Excellence: Successfully engendered a culture of engineering excellence across a broad organization
Architecture Experience: Proven track record in driving the architecture for a large scale, cloud-based product with high availability, low latency, and high reliability
PaaS: Proficiency with multiple data storage systems such as RDBMS, Cassandra, and large file systems and cloud-based architecture and designs
Customer Obsession: Demonstrated value in driving features that improve customer experience
Vision: Identifies future challenges/obstacles and opportunities for the technical roadmap
Decision-Making Skills: Strong, data-driven decision-making approach, influencing with transparency
Mentorship: Proven experience in mentoring and growing other staff engineers
Leadership: Strong leadership skills fostering a collaborative environment

Job Responsibility

Set and edit technical direction directly in programs and indirectly in reviews, communications, and documentation
Provide architectural guidance to technical leaders
Facilitate technology lifecycle and strategy roadmap
Evaluate/review and improve existing systems and procedures
Advise the VP on technical matters and strategic direction

What we offer

Competitive salary and 401k with employer match
Discretionary paid time off
Paid parental leave for all
Medical, Dental, Vision plans
Fitness Programs
Emotional & Mental Wellness support
Learning & Development programs
Snacks in our offices

Fulltime

Senior Principal Architect, Senior Director

Location

United States , California

Salary:

217300.00 - 325900.00 USD / Year

Teradata

Expiration Date

Until further notice

Requirements

20+ years of software or systems engineering experience, with 8+ years in a principal, distinguished, or fellow-level architectural role at a software product company or hyperscaler
Recognized technical authority in at least two of the following domains: cloud-native data platforms, distributed query processing, AI/ML infrastructure, elastic compute architecture, or enterprise integration
Demonstrated ability to set and communicate a multi-year technical vision that influences both internal engineering decisions and external market positioning
Proven track record of deploying AI tools, LLM-assisted workflows, and automated engineering practices at an organizational scale—with measurable productivity outcomes
Outstanding communication skills with experience presenting to Boards of Directors, institutional investors, and enterprise C-suite executives

Job Responsibility

Define and steward Teradata's enterprise-wide technical architecture vision, ensuring coherent design across compute, storage, query processing, AI/ML pipelines, and cloud integration layers
Lead architectural strategy for Teradata's highest-complexity, highest-risk platform initiatives—including Teradata Factory data lakehouse, Agentic Platform AI workloads, and MCP Integration framework
Serve as Teradata's primary external technical voice in industry forums, standards bodies (e.g., cloud data alliances, open-source governance boards), and with strategic enterprise customers and partners
Chair the Enterprise Architecture Review Board, establishing architectural principles, evaluating major design proposals, and resolving cross-team technical conflicts with speed and clarity
Develop and operationalize a comprehensive AI productivity framework for the Core Platform engineering org—defining tooling standards, measurement baselines, and a roadmap for AI-assisted design, testing, and documentation
Mentor a portfolio of Principal and Senior Staff Architects
serve as a career sponsor and technical role model for Teradata's most senior engineering talent
Produce landmark technical assets—platform blueprints, architecture whitepapers, technology evaluations—that are used directly in Board reporting, investor communications, and enterprise sales cycles
Partner with the CPO and Chief Data Officer to ensure architecture investments align with Teradata's five-year AI platform strategy and business outcomes
foundational AI skills to explore and implement ways AI can enhance productivity, innovation, and impact across our workforce

What we offer

Healthcare
Life and disability insurance plans
401(k)-retirement savings plan
Time-off programs

Fulltime

Senior Principal AI Infrastructure Architect

The Senior Principal AI Infrastructure Architect is a highly skilled and advance...

Location

Italy , Milano

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Significant experience in a consulting, presales or architecture role within a large-scale (preferably multi-national) technology services environment, with a track record of leading AI infrastructure pursuits
Demonstrable experience designing and delivering production AI platforms — from single multi-GPU servers through to multi-rack training clusters and inference factories
Strong working knowledge of the AI hardware vendor landscape (NVIDIA, AMD, Intel, Dell, HPE, Lenovo, Supermicro, Cisco, Pure, VAST, WEKA, DDN, NetApp) and how to position partner ecosystems competitively
Proven ability to translate AI workload requirements (model size, parameter count, sequence length, throughput SLOs, latency targets) into accurate hardware bills of materials and sizing justifications
Significant client engagement and consulting experience, including client needs assessment, change management and the ability to identify whitespace for follow-on AI infrastructure and managed-services work
Significant business development and presales experience on infrastructure-led deals, ideally including sovereign AI, AI Factory or regulated-industry GenAI programmes
Strong understanding of how AI infrastructure integrates with business processes, applications, data platforms and existing enterprise architecture
Bachelor's degree or equivalent in Information Technology, Engineering, Computer Science or a related field
Deep, hands-on knowledge of AI hardware: GPU and accelerator portfolios (NVIDIA Hopper / Blackwell, AMD MI300/MI325, Intel Gaudi 3, emerging custom silicon), host CPU platforms (Intel Xeon, AMD EPYC, NVIDIA Grace), system topologies (HGX, DGX, MGX, OAM) and how each choice maps to specific AI workloads
Strong understanding of AI-class storage: parallel filesystems, all-flash NVMe platforms, S3-class object stores, checkpoint and dataset pipelines and the I/O patterns of large-scale training and inference (VAST, WEKA, DDN EXAScaler, Pure FlashBlade, NetApp ONTAP AI, Dell PowerScale)

Job Responsibility

Lead the end-to-end design of large, complex AI infrastructure solutions — covering accelerated compute (NVIDIA H100/H200/B200 and GB200 NVL72, AMD Instinct MI300X/MI325X, Intel Gaudi 3), CPU host platforms (Intel Xeon, AMD EPYC, NVIDIA Grace), high-throughput storage tiers and lossless AI fabric — for enterprise, sovereign AI and AI Factory clients
Architect reference designs built on NVIDIA DGX/HGX SuperPOD, Dell AI Factory with NVIDIA, Cisco Nexus HyperFabric AI, HPE / Lenovo / Supermicro accelerated compute and equivalent platforms, balancing single-node performance with cluster-scale efficiency
Size and validate GPU clusters against real workloads — foundation-model pre-training, distributed fine-tuning, RAG, real-time and batch inference — using the right combination of NVLink/NVSwitch domains, InfiniBand NDR/XDR or Ultra Ethernet / NVIDIA Spectrum-X fabrics and tiered NVMe and parallel storage (VAST, WEKA, DDN, Pure FlashBlade, NetApp ONTAP AI, Dell PowerScale)
Define the supporting datacenter design: high-density power (50–140 kW/rack), direct-to-chip and rear-door liquid cooling, structured cabling for AI fabrics and modular deployment models across on-prem, colo and sovereign-cloud footprints
Work closely with the sales team to drive the presales process for AI infrastructure pursuits — client discovery, technical workshops, proposal writing, executive presentations and bid defence
Translate clients' AI ambitions and business outcomes into a hardware and platform roadmap, positioning NTT DATA's end-to-end portfolio — silicon, systems, storage, fabric, MLOps stack and managed services — to land service-led AI solutions
Lead integration of compute, storage, networking, the AI software stack (CUDA, ROCm, Triton, NIM, NVIDIA AI Enterprise, Run:ai, Slurm, Kubernetes / Kubeflow) and managed-service operating models across multiple domains, delivery units and geographies
Build business cases, TCO and unit-economics models (cost per token, cost per training run, GPU-hour economics) and end-to-end transition roadmaps for cloud-to-private AI migrations and sovereign AI deployments
Define architectural principles for AI infrastructure — accelerator utilisation, data gravity, multi-tenancy, model lifecycle, energy efficiency — and apply them to influence architectural outcomes and governance
Develop As-Is, Vision, FMO and To-Be AI platform architectures, identify gaps and develop transition roadmaps

Fulltime

Principal Engineer (Software Architect)

At Flight Centre Travel Group (FCTG) our purpose is to 'open up the world for th...

Location

Australia , South Bank

Salary:

Not provided

Flight Centre Brand

Expiration Date

Until further notice

Requirements

3+ years experience as a Technical Lead or Technical Architect
Experience in transactional domains (e.g. bookings, payments, e-commerce) where data integrity and financial accountability are critical
Broad experience across diverse technology stacks with the ability to assess trade-offs across languages, paradigms, hosting models and data storage approaches
Strong experience designing and delivering cloud-native applications built for global scale, reliability, security and performance
Strong knowledge of architecture styles including SOA, micro-services and common software design patterns
Holistic understanding of the full software lifecycle including CI/CD, observability, production support, reporting and developer tooling
Exposure to Kubernetes, ElasticSearch, Redis and AWS services such as EKS, Lambda, API Gateway, DynamoDB, S3 and CloudFront
Demonstrated experience applying AI-assisted development practices and a strong point of view on embedding AI and agentic capabilities into engineering workflows
Proven ability to partner with and influence senior business stakeholders
Excellent written and oral communication skills

Job Responsibility

Shape technical strategy through hands-on involvement in product discovery, prototyping and planning
Design pragmatic, cloud‑native architectures with a focus on simplicity, reuse, testability, performance and stability
Lead data‑oriented architectural design, defining how data is produced, owned and transformed across business processes
Validate and evolve architectural decisions through spikes, proofs of concept and close collaboration with engineers and technical leads
Champion adoption of AI and agentic capabilities in engineering workflows, leveraging emerging technologies to improve delivery and impact
Stay close to delivery and the code, supporting teams with system dependencies, risk identification and production readiness
Establish and promote architectural patterns, standards and best practices that scale across teams and domains
Mentor engineers and technical leaders, empowering teams to make sound architectural decisions within clear security and stability guardrails
Continuously improve engineering quality, developer experience, tooling, pipelines and ways of working through hands‑on contribution

What we offer

Inclusive company culture
Equal Opportunity Employer
Individualised ongoing Learning & Development via communities of practice
Innovation Days
Dedicated Engineering Days
Access to LinkedIn Learning for ongoing skills development
Women in PM&E group
Exclusive staff discounts
Travel discounts including family and friends
Career opportunities in a network of brands and businesses across the globe

Fulltime

Senior Principal Technical Program Manager

Microsoft Research is working to transform the future of artificial intelligence...

Location

United States , Redmond

Salary:

163000.00 - 296400.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree AND 8+ years experience in engineering, product/technical program management, data analysis, or product development OR equivalent experience
6+ years of experience managing cross-functional and/or cross-team projects
Experience leading large-scale skilling and/or adoption programs to motivate org-scale teams to adopt to rapid changes in AI-driven work
Experience utilizing or designing engineering systems (tools and developer experiences) for large-scale machine learning, reinforcement learning, or generative AI workloads
1+ year(s) of experience reading and/or writing code (e.g., sample documentation, product demos), ideally including experience using AI coding agents (Copilot, Claude, Codex, etc.)
Working knowledge of AI infrastructure tradeoffs - i.e. memory, network (Infiniband, NVLINK, etc.), storage systems, distributed training parallelisms and/or orchestration and scheduling frameworks (Kubernetes, Volcano, SLURM)
Bachelor's Degree AND 12+ years experience engineering, product/technical program management, data analysis, or product development OR equivalent experience
8+ years of experience managing cross-functional and/or cross-team projects

Job Responsibility

Drive cross-team projects and programs for the AI tools and engineering system that support Microsoft Research’s Artificial Intelligence (AI)/Machine Learning (ML) infrastructure including end-to-end planning, timelines, milestones, and performance metrics
Research and define a seamless agent-first (Copilot, Claude, Codex, etc.) experience that accelerates both inner-loop and outer-loop research activities
Drive initiatives to generate rapid engagement with emerging techniques in agentic research and coding
Use AI coding agents to explore new ideas and create examples for people of all disciplines to follow your lead
When appropriate, contribute directly to our engineering system and tools
Collaborate with researchers, engineers, product teams, and external partners to identify gaps and drive timelines toward resolution and mitigation
Leverage data and analytics to identify opportunities for improvement, track progress, and measure the impact of adoption and skilling programs
Foster a culture of collaboration, continuous improvement, and growth
Communicate program strategies, progress, and results to executive leadership and key stakeholders across Microsoft Research, advocating for quality, security, and efficiency within the team

Fulltime

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Senior Principal Storage Systems Engineer

Job Description

Job Responsibility

Requirements

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