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Senior Backend Software Engineer
Flexcompute. Design and implement scalable solutions for Flexcompute's advanced electromagnetic simulation platform .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in backend engineering with a focus on Java, Python, or C++, and possesses strong experience in designing and deploying scalable cloud solutions, particularly with AWS. Proficient in managing high-performance computing clusters and implementing CI/CD pipelines for efficient deployment.
Highest-signal resume keywords
Backend EngineeringAWS Cloud ExperienceHigh-Performance ComputingCI/CD Pipeline DevelopmentDistributed Systems
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
JavaPythonC++Cloud ComputingHigh-Performance ComputingAPI DesignInfrastructure as CodeMonitoring and ObservabilitySimulation Data ManagementTask Pipeline Optimization
Soft Skills
Innovative MindsetAdaptabilityCollaboration
Tools & Technologies
KubernetesDockerTerraformAnsibleLinuxNetworkingSecurity PracticesJob SchedulersBatch SystemsStreaming Systems
Certifications & Qualifications
Bachelor's Degree in Computer ScienceComputer EngineeringTelecommunications Engineering
Industry Keywords
Electromagnetic SimulationCloud PlatformsDistributed Compute FrameworksScientific ComputingSimulation Platforms
Tech Stack
Tools & technologiesAnsibleAWSCloudDistributed SystemsDockerJavaKafkaKubernetesLinuxPythonTerraformC++
About the role
Key responsibilities & impact- Design and implement scalable solutions for Flexcompute's advanced electromagnetic simulation platform
- Contribute to API unification, simulation data management including caching, syncing, and storage, and scripting improvements
- Collaborate with EM and infrastructure teams on simulation-specific solutions
- Enhance back-end and scheduler integrations and Python front-end functionality
- Improve task pipelines through web API design for multi-physical simulations
- Develop and maintain hybrid cloud compute and storage solutions integrating on-premise HPC systems with modern cloud platforms
- Optimize and manage high-performance computing clusters with high-speed interconnects
- Own platform components end to end with limited direction and direct access to founders
- Architect and deploy infrastructure for distributed simulation workloads across cloud and on-premise compute
- Design 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-premise HPC clusters with AWS compute and storage
- Implement monitoring and observability systems for simulation performance and reliability
- Improve platform scalability for growing user traffic and compute demand
- Design secure service architectures, authentication, and licensing systems
- Optimize infrastructure utilization across CPU and GPU resources
Requirements
What you’ll need- Strong backend engineering in at least one of Java, Python or C++; deep expertise in one is sufficient
- Real production cloud experience; AWS preferred
- Distributed systems operated in production
- Direct ownership of a production backend service from design through deployment and operation
- Fluent professional English, spoken and written
- Based in Czechia, with the right to work there without visa sponsorship
- Availability during Czech working hours with about six hours of overlap with the Boston team
- Bachelor's degree in computer science, computer engineering, telecommunications engineering or a closely related field
- Kubernetes and Docker, Terraform or Ansible, monitoring and observability tooling, Linux troubleshooting, networking and security practices, simulation stack, and HPC are learnable; HPC is preferred but not mandatory
- Bonus experience with load balancing, autoscaling, queues or streaming systems such as SQS, SNS or Kafka
- Bonus experience integrating cloud platforms with HPC environments or large compute clusters
- Bonus familiarity with job schedulers or batch systems, distributed compute frameworks, or large-scale data pipelines
- Bonus experience supporting scientific computing or simulation platforms
- Bonus knowledge of GPU infrastructure and resource scheduling
- Bonus experience building developer platforms or internal infrastructure tooling
- Innovative mindset and ability to learn quickly, adapt to new challenges, and innovate in a fast-paced startup environment
Benefits
Comp & perks- Competitive compensation and equity
- Remote within Czechia, on Czech working hours with about six hours of overlap with our Boston team
- Fully flexible hours and unlimited PTO
- Periodic company-paid travel to Boston to work with the core team
- Learning sponsorship
- Travel allowance
- AI tools budget, including Claude, Cursor and similar tools
- Fitness benefit
- Friendly, thoughtful, and intelligent coworkers