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Software Engineer, HPC Scheduling
Posted: 03/26/2026
Job Number: 28001
Pay Rate: $ - $
Remote Friendly?:
Job Description
Senior Software Engineer –Distributed Systems & Kubernetes Scheduling
Location: Dallas, TX (Hybrid)
•Competitive base salary + performance bonus
•100% company-paid benefits
Overview
We are seeking a Senior Software Engineer to support the development of a large-scale distributed compute platform designed to run complex, high-throughput workloads.
This role focuses on building and optimizing systems that manage workload orchestration across containerized environments, with an emphasis on scheduling, scalability, and performance. You will work on solving challenges related to distributed job execution, resource allocation, and multi-cluster coordination.
The ideal candidate brings a strong foundation in software engineering, experience working with Kubernetes-based systems, and a passion for building reliable, high-scale infrastructure.
Key Responsibilities
Distributed Systems & Platform Development
•Design and develop backend services that support large-scale workload orchestration and scheduling
•Build systems capable of operating across multiple clusters and environments with high availability and resiliency
•Contribute to platform architecture decisions with a focus on scalability and performance
Kubernetes & Workload Orchestration
•Develop and maintain Kubernetes-based services, including custom controllers and operators
•Optimize workload placement and execution across distributed compute environments
•Support containerized applications and ensure efficient orchestration of batch and long-running workloads
Data & System Performance
•Design and optimize interactions with both relational and non-relational data systems, including PostgreSQL
•Analyze and improve system performance across compute, storage, and networking layers
Infrastructure & Reliability
•Support and troubleshoot Linux-based systems that underpin the compute platform
•Apply networking fundamentals to diagnose and resolve performance or connectivity issues
•Identify and resolve complex issues across both software and infrastructure layers
Engineering Excellence
•Apply strong computer science fundamentals, data structures, and system design principles
•Contribute to CI/CD pipelines and promote engineering best practices across the team
•Continuously evaluate and adopt new tools, frameworks, and approaches to improve platform capabilities
Required Experience
•Strong software engineering experience, with a focus on backend or systems development (Go preferred)
•Experience building or extending Kubernetes components such as controllers or operators
•Familiarity with event-driven architectures and messaging systems (e.G., Kafka, Pulsar, or similar)
•Experience working with large-scale distributed systems or compute platforms
•Experience operating in cloud environments, preferably AWS
•Familiarity with monitoring, logging, and observability tools (e.G., Prometheus, Grafana)
•Experience with workload orchestration or scheduling systems (e.G., SLURM or similar frameworks)
Preferred Experience
•Exposure to high-throughput or batch processing systems
•Experience supporting data-intensive or compute-heavy workloads
•Familiarity with DAG-based workflows or pipeline orchestration concepts
•Experience working in environments supporting AI/ML or large-scale data processing
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