Principal Engineer - Incubation

Introduction
As a Data Scientist at IBM you will help transform our clients’ data into tangible business value by analyzing information communicating outcomes and collaborating on product development. Work with Best in Class open source and visual tools along with the most flexible and scalable deployment options. Whether it’s investigating patient trends or weather patterns you will work to solve real world problems for the industries transforming how we live.

Your Role and Responsibilities
As a Solution Architect/TME you will be will be responsible for conducting customer and market facing activities concerning adoption of IBM’s multi-cloud software networking solutions. The person will also be collaborating with IBM Research organization in analysing and testing various hypothetical possibilities and come out with data points that the strategy team can further use to substantiate their strategies

As the TME you will be expected to:

• Understand customer’s technical requirements & be the voice of the customer user personas
• Build Proof-of-Concept pods & demonstration test beds
• Suggest solution architectures based on IBM’s larger portfolio
• Document solutions and produce white-papers
• Prepare customer facing technical presentations & conduct product adoption workshops with end-user personas
• Drive grouping and prioritization of customer requirements
• Work with the sales teams and customers to ensure products continually meet market requirements while maintaining business objectives
• Gather and analyse all available research and data sources to continually refine and improve all aspects of the product

General expectations

• Experience with Telco and Edge environments including networks and infrastructure management
• Be hands on in various cloud and enterprise networking scenarios such as building networks deploying controllers and demonstrating solutions
• Be comfortable in automating scenarios using one or more scripting languages. Be comfortable in Infra Automation packages such as Terraform or Ansible
• Be comfortable in understanding various routing protocol and security configurations
• Coordinate with Product Management Sales and Marketing teams to develop technical solution documents such as design documents white papers and presentations
• Monitor competitor capabilities and produce comparative research reports
• Be comfortable in learning and trying out new solutions

Required Technical and Professional Expertise

• Overall 12+ years of experience with 5+ years on technical marketing & solution architecture.
• Atleast 5+ years of relevant experience in framing solutions for Telco’s & Enterprises for SDN/NFV requirements
• Strong telecommunications knowledge with Proficient understanding of Virtualization NFV/SDN Network Slicing Open stack Kubernetes & Public Cloud Networking environments etc.
• Hands-on Experience with ML & AI model integrations
• Deep technical & hands-on familiarity with one or more of the following technologies

• Kubernetes networking CNI Exposure to any one of the CNIs like Calico Flannel Weave
• Openstack networking
• Virtual Router implementations – Data Plane using Linux Kernel IPTables kernel packet filters eBPF virtual ethernet drivers general Linux Networking skills
• Tunneling technologies implementation. IPSec GRE VXLAN IP over IP etc
• Control plane routing protocols – OSPF ISIS BGP
• Public cloud networking constructs VPCs Transit Gateways etc
• Data plane acceleration: DPDK SRIOV VPP
• Exposure working on Load Balancers Web Proxies
• Exposure to implementing network packet monitoring frameworks : cFlow sFlow jFlow NetFlow IPFIX OWAMP TWAMP other telemetry protocols
• Exposure to programmable api’s to network appliances : OpenFlow NetConf GRPC
• Exposure to services meshes (ISTIO) is a strong positive too but not mandatory
• Exposure to SaaS software development using cloud native databases and messaging frameworks
• CI/CD experience for SaaS software development and continuous upgrades
• Site Reliability Engineering

• Ability to manage all associated activities throughout Product life cycle in collaboration with other functional groups (Sales marketing Finance Engineering Services Partners etc)
• Experience in generating Product collaterals – whitepapers technical product marketing development of pricing models Market research and competitive analysis

Preferred Technical and Professional Expertise

• Exposure to product managing SaaS platforms