Backend Engineer

BEACON TECHNOLOGIES INC
Madison, WI, United States
23 days ago
Apply on www.beacontechinc.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours

Tech stack

Java (Programming Language) Application Programming Interfaces (APIs) Amazon Web Services User Authentication C++ (Programming Language) Cloud Computing Cloud Engineering Configuration Management Computer Engineering Data Security Linux Distributed Systems
+29 more
Identity and Access Management Job Scheduling Python (Programming Language) Networking Basics Ansible Distributed Simulation Scientific Computating Service-Oriented Architecture Service Development Studio Software Engineering Systems Integration Datadog Data Logging High Performance Computing HybridCloud Backend Containerization Kubernetes Infrastructure Automation Frameworks Information Technology Data Management Slurm Front End Software Development Hardware Infrastructure Cloud Integration Terraform Data Pipelines Docker Web Api

Job description

Beacon Technologies is seeking a Backend Engineer for our client partner. The Backend Software Engineer will help design and implement scalable solutions that meet the growing demands of an advanced EM simulation platform. The ideal candidate has expertise in high-performance computing (HPC), infrastructure, web API design, and systems design. Additionally, the candidate will be help us enhance our data management, frontend-backend API unification, and cloud integration., * Contribute to general software development efforts, such as API unification, simulation data management (e.g., caching, syncing, storage), and scripting improvements.

  • Collaborate with EM and infrastructure teams to implement simulation-specific solutions, including enhancements to back-end/scheduler integrations and Python front-end functionality.
  • Improve our task pipelines through an innovative design for a web API in a multi-physical simulation context.
  • Develop and maintain hybrid cloud compute and storage solutions, integrating on-premises HPC systems with modern cloud platforms.
  • Optimize and manage high-performance computing clusters equipped with high-speed interconnects., * Architect and deploy Kubernetes-based infrastructure to run distributed simulation workloads
  • Design and implement scalable web APIs for simulation job orchestration and data access
  • Build CI/CD pipelines and infrastructure-as-code systems for reproducible deployments
  • Develop hybrid cloud solutions connecting on-prem HPC clusters with AWS compute and storage
  • Implement monitoring and observability systems to track simulation performance and reliability
  • Improve platform scalability to support growing user traffic and compute demand
  • Design secure service architectures, authentication, and licensing systems
  • Optimize infrastructure utilization across CPU and GPU resources

Requirements

  • Education: Bachelor’s degree or higher in computer science or computer engineering.

Technical Skills:

  • Professional experience developing backend systems using Java, Python, and/or C++
  • Strong experience with AWS or similar cloud platforms (compute, storage, networking, IAM, infrastructure automation)
  • Expertise in backend service development and web API architecture
  • Hands-on experience with containerization and orchestration (Docker, Kubernetes)
  • Experience designing and operating distributed systems in production environments
  • Strong Linux systems knowledge and infrastructure troubleshooting skills
  • Experience with infrastructure automation and configuration management (e.g., Terraform, Ansible, or similar tools)
  • Familiarity with monitoring, logging, and observability tooling
  • Understanding of networking fundamentals and backend security best practices
  • Innovative Mindset: Ability to learn quickly, adapt to new challenges, and innovate in a fast-paced startup environment.

Bonus Skills:

  • Experience integrating cloud platforms with HPC environments or large compute clusters
  • Familiarity with job schedulers (e.g., Slurm), distributed compute frameworks, or large-scale data pipelines
  • Experience supporting scientific computing or simulation platforms
  • Knowledge of GPU infrastructure and resource scheduling
  • Experience building developer platforms or internal infrastructure tooling

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.beacontechinc.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:20 min

Identifying multi-disciplinary talent for developer experience engineering roles

Hazal Mestci +1 · Coffee With Developers

2:07 min

Inspecting default bridge architectures and custom Docker networks

Oliver Seitz Oliver Seitz · World Congress 2025

52 sec

Running persistent Linux environments directly on Windows

Ben Breard Ben Breard · World Congress 2025

2:22 min

Infrastructure barriers and compliance risks in research

Jeremy Murray Jeremy Murray · World Congress 2026 Europe

2:34 min

Docker sandbox architecture and microVM environment integration

Manuel de la Peña Manuel de la Peña · World Congress 2026 Europe

3:55 min

Demonstrating .NET installation on Debian and Azure Linux

Silvano Coriani Silvano Coriani · Europe 2026 Virtual

Videos

See all

Related articles

See all