Senior Solution Engineer – Streaming Architectures

Job Description

Senior Customer Solution Architect | International Business Machines

The Tone:
This is a full-time role at International Business Machines. IBM Global Sales brings together innovation, collaboration, and expertise to help clients solve their most complex business challenges across industries and geographies. This role is crucial for partnering with clients to co-create solutions that drive digital transformation and lasting impact. Your work will involve helping customers leverage streaming architectures to achieve their business results, building trusted relationships, and shaping solutions that improve business and society.

The TL;DR
• Role: Full Time
• Type: Full-time
• Team: Customer Success and Professional Services team
• Mission: Help customers leverage streaming architectures and applications to achieve their business results.
• Tech Stack: Apache Kafka platform, Hadoop, Spark, Storm, relational databases, NoSQL databases, Linux, Amazon Web Services, Google Cloud, Microsoft Azure, Java Virtual Machine (JVM), Cassandra

What You’ll Actually Do
• Client Strategy: Help customers determine their platform and/or application strategy for moving to a more real-time, event-based business through workshops and recommendations.
• Product Feedback: Provide direct feedback to the Product and Engineering groups to inform future development and improvements.
• Tool Development: Build tooling for other teams or the wider company to enhance technical capabilities and improve consistent, high-quality delivery.
• System Evaluation: Test the performance and functionality of new components developed by Engineering.
• Knowledge Sharing: Write or edit documentation and knowledge base articles, including reference architecture materials and design patterns based on customer experiences.

The Must-Haves
• Background: Senior-level professional with a Master’s Degree preferred, specializing in Big Data, stream processing, and enterprise data integration solutions.
• Experience: Deep experience designing, building, and operating in-production Big Data, stream processing, and/or enterprise data integration solutions, ideally using Apache Kafka. Demonstrated success managing multiple B2B infrastructure software development projects, driving customer satisfaction, feature adoption, and retention.
• Skills: Proficient in operating Linux (configuring, tuning, troubleshooting RedHat and Debian-based distributions), experienced with major cloud providers (Amazon Web Services, Google Cloud, Microsoft Azure) for high-throughput systems, skilled in Java Virtual Machine (JVM) tuning and troubleshooting, and knowledgeable in distributed systems (Kafka, Hadoop, Cassandra). Possesses excellent communication skills to clearly explain complex technical issues and solutions.
• Bonus: Ability to quickly learn new technologies and willingness to travel up to 20% of the time to meet with customers.