Systems Development Engineer, Senior

Location: Mc Neil

Senior Systems Development Engineer

Have you got what it takes to succeed The following information should be read carefully by all candidates.

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.

Join us to do the best work of your career and make a profound social impact as a Senior Systems Development Engineer on our Systems Development Engineering Team in Austin, Texas.

We are seeking a senior technical expert for complex, data-intensive environments. This role combines deep troubleshooting expertise with proactive solution design, helping customers achieve reliable, scalable, and high‑performance data ecosystems. Develop a complete understanding of customer end-to-end data ecosystems, including Databases, object stores, file systems, and streaming platforms, ETL/ELT tools, BI platforms, governance frameworks, and AI/ML environments. Drive initiatives that elevate customer experience, platform stability, and long‑term success

Lead investigation and resolution of high‑severity, multi‑layer incidents involving infrastructure, Kubernetes, data engines, storage, networking, and system integrations
Provide solution architecture recommendations related to performance tuning, resiliency, configuration design, and integration best practices
Act as a technical bridge between Customer Support, Product Management, and R&D
Escalate defects, influence roadmap decisions, and translate customer issues into actionable product improvements
Identify recurring patterns, systemic risks, and opportunities for optimization

AI/Data Engineering:
Python development, working with xrlwcon datasets, and AI/ML models
~ Database Expertise:
Strong knowledge of relational and No

SQL databases, data pipelines, Elasticsearch, MS SQL, MongoDB
~ Dev Ops &

Infrastructure: Cloud platforms, Kubernetes, observability/log pipelines, library and runtime environments

Bachelor’s degree or related experience
If you’re looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we’re looking for you.
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