What are the responsibilities and job description for the Data Platform Engineer position at radixexperienced?
About the Role
We’re looking for an experienced Data Platform Engineer to join our DevOps/Automation team and help reshape the way we design, operate, and scale our infrastructure. This role is ideal for someone who has a deep technical background in Kubernetes, Terraform, and modern data pipeline orchestration, and who is eager to take ownership of building a reliable, standardized platform to support mission-critical processes.
You’ll work closely with engineers across research, high-performance computing (HPC), and trading operations to streamline our data pipelines, improve observability and alerting, and introduce best-in-class tooling to replace fragmented, homegrown solutions. Over time, you’ll have the opportunity to potentially lead and grow the team, playing a central role in redefining our automation strategy.
Why Join Us
This is a unique opportunity to shape the foundation of our data platform at a firm where technical excellence is highly valued. You’ll work alongside some of the brightest minds in trading and engineering while tackling complex, high-impact challenges. The systems you design will directly improve the speed, reliability, and scalability of our core operations — and set the stage for our next phase of growth.
What You’ll Do
- Design and implement scalable, production-grade data pipelines, moving away from siloed, bespoke systems to a unified platform that supports alerting, monitoring, and recovery.
- Drive adoption of modern orchestration and workflow technologies like Airflow or similar job scheduling tools.
- Build and maintain infrastructure using Kubernetes, Terraform, and related tools to ensure consistency and reliability.
- Partner with HPC and data teams to integrate storage systems, job scheduling, and parallelized compute environments.
- Collaborate with engineers to identify areas for process improvement and propose open-source or commercial solutions to improve efficiency.
- Act as a subject matter expert for observability, performance monitoring, and failure recovery for critical data workflows.
- Provide technical leadership and mentorship to junior engineers, with a path toward leading the automation team in the future.
What We’re Looking For
- 2 - 7 years of relevant experience in software, data, and/or infrastructure engineering.
- Strong background in data engineering or data platforms, including pipeline design and workflow orchestration tools (e.g., Airflow, Slurm).
- Deep expertise in Kubernetes and Terraform — you’ve built, deployed, and managed complex systems beyond surface-level experience.
- Experience with monitoring and observability tools to ensure reliability and fast recovery when issues arise.
- Familiarity with large-scale systems and environments such as trading firms, banks, or financial data providers is a plus.
- The ability to balance day-to-day operational work with long-term re-architecture and strategic initiatives.
- Comfort collaborating across teams and influencing technical direction in a growing organization.
- A mindset of continuous improvement and an eagerness to bring new ideas and open-source best practices to the table.
Nice-to-Have
- Experience with high-performance or parallel file systems and integrating with distributed compute environments.
- Experience with processing and managing extremely large volumes of data.
- Exposure to cloud-native environments and cost-optimization strategies.
- Background in finance or trading.
Compensation
We offer competitive compensation, including salary and performance-based bonuses, along with comprehensive benefits.