Senior Engineer, Hybrid Cloud Fabric Job at Geico (Palo Alto, CA)

Senior Staff Engineer, Hybrid Cloud Fabric

Become a key player in GEICO's tech transformation! We are seeking a Senior or S...

Location

United States , Palo Alto; Dallas; Chevy Chase; Seattle

Salary:

120000.00 - 260000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

Service mesh expertise (dev): familiar with mesh architecture, components, and configuration options, including advanced traffic management, security policies, and telemetry customization
Service mesh experience (ops): designed, implemented, and managed service mesh solutions at scale, addressing challenges related to performance, security, and observability
Programming skills: Experience with Go is a must
Rust is a bonus
Linux OS: In-depth knowledge of Linux operating systems, including performance tuning, troubleshooting, and security best practices
Networking: Advanced understanding of networking concepts and tools (e.g., iptables, netfilter, traffic shaping) for analyzing and optimizing service mesh performance within the hybrid cloud environment
Kubernetes and containerization: Extensive experience with Kubernetes and container orchestration platforms, including networking, security, and service management
Microservices architecture: Deep understanding of microservices design patterns, service discovery mechanisms, API gateways, and distributed tracing
Observability and monitoring: Expertise in tools like Prometheus, Grafana, Jaeger, and Kiali to monitor service mesh performance and troubleshoot issues
Security best practices: Knowledge of zero-trust security principles, authentication and authorization mechanisms, and encryption technologies within the context of service mesh

Job Responsibility

Design and implement a robust service mesh architecture, encompassing traffic management, security, observability, and resilience for microservices across public and private clouds within our on-premises data centers
Integrate the service mesh with existing infrastructure and applications, ensuring seamless operation and interoperability with various platforms and technologies, including legacy systems
Establish and enforce service mesh best practices, including security policies, traffic routing rules, circuit breakers, and access control mechanisms, to maintain a secure and reliable application environment
Develop comprehensive monitoring and observability dashboards to provide deep insights into service mesh health, performance, and potential issues, enabling proactive problem identification and resolution
Guide and mentor engineers on service mesh principles and best practices, fostering knowledge sharing and expertise development within the team, empowering them to contribute effectively to the service mesh implementation
Work closely with networking and security teams to ensure secure and efficient integration of the service mesh with on-premises infrastructure and networks, addressing potential challenges and ensuring smooth operation
Partner with SREs to establish service mesh observability, monitoring, and alerting strategies for maintaining high availability and performance, collaborating to define SLOs, SLIs, and error budgets
Actively engage with the Istio community, contribute to open-source projects, and represent GEICO's leadership in service mesh adoption

What we offer

Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being
Financial benefits including market-competitive compensation
a 401K savings plan vested from day one that offers a 6% match
performance and recognition-based incentives
and tuition assistance
Access to additional benefits like mental healthcare as well as fertility and adoption assistance
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year

Fulltime

Senior Data Engineer, Information Technology

CREA, LLC is a full-service low-income housing tax credit (LIHTC) syndicator for...

Location

United States , Indianapolis; Boston

Salary:

97000.00 - 143000.00 USD / Year

CREA (IN)

Expiration Date

Until further notice

Requirements

Bachelor's degree in Engineering, Computer Science, or related field required
advanced degree preferred
7+ years of experience in data engineering or development with increasing responsibility
Proven experience building and evolving data platforms and supporting business decision-making
Industry experience in Real Estate, Financial Services, Banking, or FinTech preferred
Strong experience designing, integrating, securing, monitoring, and optimizing data platforms
Experience with APIs for system integration and data exchange
Experience leveraging AI-enabled tools for analytics, automation, or solution development
Azure Data Platform: SQL Server Managed Instance, Azure SQL Database, Azure Synapse, Dataverse, Microsoft Fabric (OneLake, Fabric Warehouse, Data Factory)
Data Integration: Azure Data Factory, Microsoft Fabric

Job Responsibility

Lead the design, development, and modernization of enterprise data platforms supporting LIHTC and real estate finance operations
Design, build, test, deploy, and maintain scalable, secure, and reliable data pipelines and integrations
Develop and maintain ETL/ELT processes for structured and semi-structured data, including orchestration and documentation
Ingest, transform, and integrate structured and unstructured data into centralized data platforms (warehouse/lakehouse)
Build reusable code and automation to streamline data processing and management
Lead and support migration of on-prem SQL Server workloads to Azure/Microsoft Fabric
Participate in data architecture decisions, standards, and platform/tool selection
Maintain and optimize performance, reliability, and monitoring across cloud and hybrid environments
Develop and support data solutions that enable analytics, reporting, and business operations
Produce dashboards and reports

Fulltime

Senior Infrastructure Engineer

We are looking for a Senior Infrastructure Engineer (NetDevOps) to design, build...

Location

United Kingdom , Blackpool

Salary:

Not provided

Randstad

Expiration Date

July 19, 2026

Requirements

Enterprise Networking Engineering - Complex OSPF and BGP environments
Designing and implementing secure, resilient traffic flows
Strong understanding of typical enterprise and cloud network patterns
Firewall and Security Technologies - Extensive experience with Palo Alto firewalls
Policy design and implementation across data centre and cloud
Zero Trust and secure network design principles
Data Centre & Network Architecture - VXLAN / EVPN, VRF segmentation, and multi-site fabrics
Experience with vendors such as Arista (or equivalent)
Load balancing technologies (e.g. F5 BIG-IP: LTM / APM / ASM)
Network automation experience using Python, Ansible, or similar tooling

Job Responsibility

Design, implement, and enhance enterprise network infrastructure across data centre, hybrid, and cloud environments
Engineer and implement network traffic flows to support business-critical services
Build and maintain secure hybrid connectivity across Azure, AWS, and OCI
Implement and manage Palo Alto firewall policies across on-prem and cloud environments, aligned to Zero Trust principles
Design and operate high-availability network services, including routing, segmentation, and resilience
Develop and maintain network automation using tools such as Python, Ansible, and Infrastructure as Code
Collaborate with architecture and platform teams to ensure solutions align with engineering standards and strategic direction
Contribute immediately to delivery work, demonstrating the ability to operate with minimal ramp up
Document designs and changes clearly and consistently, supporting maintainability and knowledge sharing

Fulltime

!

Senior Network Engineer (Lead)

Piper Companies is seeking a Senior Network Engineer (Lead) for a large‑scale en...

Location

United States , Newton

Salary:

130000.00 - 155000.00 USD / Year

Piper Companies

Expiration Date

Until further notice

Requirements

8+ years of enterprise or service provider network engineering experience, including leadership responsibilities
Deep expertise with BGP, OSPF/IS‑IS, MPLS, Segment Routing, EVPN/VXLAN, and QoS
Hands-on experience with ACI and/or EVPN/VXLAN data center fabric technologies
Strong experience with SD‑WAN (Viptela) and hybrid cloud connectivity
Background with ISE (AAA/802.1X/SGTs), next‑gen firewalls (ASA/FTD), and remote access VPN
Proficiency with automation tools such as Python, Ansible, or Terraform
Experience with ThousandEyes or similar observability tools
Strong communication skills and the ability to mentor junior engineers
CCNP required
CCIE strongly preferred

Job Responsibility

Lead the design and optimization of enterprise L2/L3 networks across campus, data center, WAN, and cloud environments
Serve as the primary engineer for BGP, OSPF/IS‑IS, MPLS/Segment Routing, EVPN/VXLAN, QoS, and Multicast
Architect and support ACI fabrics, including tenants, VRFs, contracts, and multi‑pod/multi‑site deployments
Engineer and maintain SD‑WAN (Viptela) architecture, policies, and cloud on‑ramps
Support security platforms including ISE (802.1X/SGTs), ASA/FTD/Firepower, Umbrella, Duo, and remote access VPN
Enhance observability using telemetry, NetFlow/IPFIX, and ThousandEyes
Lead lifecycle upgrades, migrations, and major incident response efforts
Collaborate with architects, SRE teams, security engineers, and cross‑functional stakeholders
Maintain accurate network documentation including diagrams, standards, and configuration baselines
Participate in an after‑hours on‑call rotation to support network reliability

What we offer

Comprehensive benefits package including Medical, Dental, Vision, 401k, PTO, holidays, and sick leave as required by law

Fulltime

Senior Product Marketing Manager - AI Storage & Data Fabric

As Product Marketing Manager, for AI Storage & Data Fabric, you will own the end...

Location

United States of America , San Jose

Salary:

119500.00 - 275000.00 USD / Year

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Marketing, Engineering, Computer Science, or related field
MBA strongly preferred
8+ years of product marketing experience in enterprise infrastructure, storage, data platforms, AI, or cloud services
Proven track record of building compelling narratives and content that resonate with both technical and executive audiences
Demonstrated experience positioning complex products in competitive, fast-moving markets
Deep understanding of the intersection of AI, data platforms, and enterprise infrastructure
Exceptional written and verbal communication skills, including executive-level storytelling and presentations
Hands-on ability to create high-quality marketing assets, from crisp messaging frameworks to polished pitch decks and demo narratives
Strong analytical skills and comfort using data to inform positioning and go-to-market decisions
Creativity and intellectual curiosity to break through market noise and earn attention

Job Responsibility

Own product marketing for HPE Data Fabric Software, including positioning, messaging frameworks, launches, competitive strategy, and buyer-journey content
Define and articulate HPE’s point of view on data fabric and AI-ready data architectures, spanning structured and unstructured data across hybrid cloud environments
Create differentiated messaging and compelling content that connects Data Fabric capabilities to real customer outcomes for AI, analytics, and modern data operations
Develop and deliver a comprehensive content strategy, including website messaging, solution briefs, sales plays, executive presentations, demos, blogs, and thought leadership assets
Partner closely with platform product marketing teams, including X10K, to integrate Data Fabric and AI messaging into broader platform narratives and sales motions
Enable global sales teams and channel partners with clear, confident narratives, talk tracks, and tools that improve selling effectiveness and conversion
Influence industry analysts, press, and influencers through briefings, thought leadership, and consistent positioning, in partnership with corporate AR and PR teams
Act as a subject-matter authority and trusted advisor to senior leadership on Data Fabric, AI data strategy, and market messaging

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Fulltime

Ai Enablement Program Manager

We are the global test and automation specialists, powering next-generation tech...

Location

United States , North Reading

Salary:

173800.00 - 278100.00 USD / Year

Teradyne

Expiration Date

Until further notice

Requirements

Proven people leadership capability with experience managing sizable teams of data professionals
Demonstrated ability to operate effectively alongside senior executive stakeholders
Strong program and product management mindset
Deep understanding of cloud data platforms and AI/ML concepts, with hands-on familiarity with Azure data services (Azure Data Factory, Fabric, or equivalent), Snowflake, Informatica, Semarchy (or MDM equivalent) and BI/analytics tooling
Proficiency with AI tools and platforms including Azure AI Foundry, Microsoft Copilot, Anthropic Claude, or Google Gemini
Excellent written and verbal communication skills
Demonstrated ability to translate complex business and technical requirements into clear product strategies, backlog items, and delivery plans using Agile/Scrum methodologies
Strong analytical and data-driven judgment
Ability to build trust and influence across cross-functional teams
Familiarity with enterprise data architecture concepts such as data lakes, data warehouses, data pipelines, and MDM

Job Responsibility

Partner with the Global CIO, Chief AI Officer, and Head of Enterprise Architecture and Data to drive the enterprise AI program, maintaining the integrated program roadmap and ensuring coordinated execution across all AI program workstreams
Define and maintain the AI program backlog in collaboration with program partners, prioritizing capabilities based on strategic alignment, business impact, and ROI
Facilitate cross-functional collaboration to identify high-impact AI use cases, assess feasibility, and sequence delivery for maximum enterprise-wide value
Champion AI adoption through organizational change management, workshops, and knowledge-sharing sessions that build AI literacy and foster a culture of innovation across Teradyne’s divisions
Track and communicate program progress, milestones, and outcomes
stay current on emerging AI technologies and industry trends, translating insights into actionable program strategies
Define and drive the Enterprise Data Platform vision, strategy, and roadmap—spanning data integration, master data management, and analytics/AI—translating stakeholder needs and business requirements into actionable delivery plans for the data engineering team
Institute AI capabilities throughout the data management lifecycle—spanning ingestion, transformation, quality, observability, and delivery—in partnership with Semiconductor Test, Robotics, Operations, and Enterprise Architecture
Drive stakeholder management and prioritization across Teradyne’s divisions, communicating platform strategy and progress to both technical and non-technical audiences
Establish success metrics, KPIs, and adoption tracking for the Enterprise Data Platform

What we offer

Medical
Dental
Vision
Flexible Spending Accounts
Retirement savings plans
Life and disability insurance
Paid vacation & holidays
Tuition assistance programs

Fulltime

Senior Specialist, Global IT Network

The resource will be responsible for the design, evolution, operation and securi...

Location

Italy , Pomezia; Milano; Alanno; Bologna

Salary:

Not provided

Alfasigma

Expiration Date

Until further notice

Requirements

Strong hands-on experience with Cisco networking (Catalyst, Nexus, ISR/ASR, Wireless LAN Controllers)
Hands-on experience with Cisco Meraki cloud-managed networking (MX security appliances, MS switches, MR wireless, Meraki Dashboard, Auto VPN and zero-touch provisioning)
Solid knowledge of routing and switching protocols (OSPF, BGP, EIGRP, STP, VLAN, VRF)
Experience with firewalling and network security (Cisco ASA/Firepower, Fortinet or equivalent)
Experience with SD-WAN and WAN optimization technologies
Knowledge of enterprise Wi-Fi design and management
Solid knowledge of server virtualization on both Microsoft Hyper-V and VMware vSphere/ESXi (vCenter, clustering, HA/DR)
Experience with hyperconverged infrastructure (HCI) platforms (VMware vSAN, Nutanix, Azure Stack HCI / Azure Local)
Working knowledge of Microsoft Azure and hybrid-cloud services (Azure Arc, hybrid connectivity, Azure VMware Solution)
Ability to manage the end-to-end lifecycle of systems and infrastructure (deployment, patching, upgrades, capacity and decommissioning)

Job Responsibility

Design, configure and maintain enterprise networks based on Cisco technology (routing, switching, VLAN, VRF, spanning-tree)
Manage WAN/SD-WAN connectivity, MPLS and inter-site links, including performance and capacity management
Administer data center networking (core/distribution/access, Nexus, fabric architectures)
Manage enterprise wireless infrastructure (controllers, access points, site surveys, coverage optimization)
Configure and operate perimeter and internal firewalls, network segmentation and IT/OT segregation
Implement and maintain network security controls (NAC, 802.1X, ACL, micro-segmentation, hardening)
Support secure remote access and VPN architectures
Manage the full lifecycle of network systems and devices (provisioning, configuration, firmware/patching, upgrades, capacity management and secure decommissioning)
Monitor network performance, availability and capacity
manage incidents and root-cause analysis

What we offer

Competitive salary
Comprehensive benefits
Extensive opportunities for professional growth and development

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

Select Country

Senior Engineer, Hybrid Cloud Fabric

Job Description

Job Responsibility

Requirements

What we offer

Looking for more opportunities?