> Markdown version of [/jobs/ext/4544613-senior-backend-software-engineer](https://www.wearedevelopers.com/jobs/ext/4544613-senior-backend-software-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Backend Software Engineer - **Company:** Flexcompute Inc. - **Location:** Boston, MA, United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Amazon Web Services, User Authentication, C++ (Programming Language), Cloud Engineering, Computer Engineering, Data Security, Linux, Distributed Systems, Job Scheduling, Python (Programming Language), Ansible, Distributed Simulation, Scientific Computating, Service-Oriented Architecture, Software Engineering, Systems Integration, Load Balancing, High Performance Computing, Autoscaling, Caching, HybridCloud, Backend, Kubernetes, Information Technology, Apache Kafka, Data Management, Hardware Infrastructure, Amazon Simple Queue Service (SQS), Terraform, Stream Processing, Data Pipelines, Docker, Web Api - **Published:** November 3, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/pwoaevw6ta ## About the Role * Strong backend engineering in at least one of Java, Python or C++. Deep in one is enough * Real production cloud experience, AWS preferred * Distributed systems you have operated in production, not only studied * Direct ownership of a production backend service, from design through deployment and operation * Fluent professional English, spoken and written * Based in Spain, with the right to work there without visa sponsorship, and available on Spanish working hours with about six hours of overlap with our Boston team * A bachelor's degree in computer science, computer engineering, telecommunications engineering or a closely related field What You Can Learn Here We hire for depth, not checklists. You do not need all of the following on day one: Kubernetes and Docker, Terraform or Ansible, monitoring and observability tooling, Linux troubleshooting, networking and security practices, our simulation stack, and HPC (preferred, not mandatory). We look for people who have entered a new domain before, learned it fast and reached ownership. Bonus * Load balancing, autoscaling, and queues or streaming systems such as SQS, SNS or Kafka * Experience integrating cloud platforms with HPC environments or large compute clusters * Familiarity with job schedulers or batch systems, 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 * A degree in computer science, computer or telecommunications engineering, mathematics, physics or a related field from a leading university. Hands-on production experience matters more than where you studied Innovative Mindset: Ability to learn quickly, adapt to new challenges, and innovate in a fast-paced startup environment. ## Description * 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-premise HPC systems with modern cloud platforms * Optimize and manage high-performance computing clusters equipped with high-speed interconnects This is a senior seat. We keep the team small and senior on purpose, so you will own real pieces of the platform end to end, with little direction and direct access to the founders., Example Projects * Architect and deploy infrastructure that runs distributed simulation workloads across cloud and on-premise compute * 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