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Senior Software Engineer, Infrastructure (Dev Prod/Platform; NOT DevOps)nTopology inc. • United States
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Senior Software Engineer, Infrastructure (Dev Prod/Platform; NOT DevOps)

nTopology inc.
  • US
    United States
  • US
    United States
Jetzt Bewerben

Über

Company Context nTop
is pioneering the future of engineering design with our advanced software that pushes the boundaries of performance and delivers mission-critical components faster than ever before. We are transforming how engineers design complex geometries. With a focus on Aerospace & Defense where programs face an impossible reality: deliver next-gen aircraft faster, with fewer experts, and zero tolerance for failure. nTop changes how aircraft get designed. Our platform collapses months of configuration iteration into hours, letting teams explore thousands of validated variants instead of locking in the first concept. Teams cut development cycles by 50% and protect PWin with simulation-backed proposals. Defense primes and startups choose nTop when mission success isn't negotiable Role We are looking for a Senior Software Engineer (5-10yrs experience) to bridge the gap between internal developer velocity and global product delivery by owning the entire "Commit-to-Compute" lifecycle. You will build the high-performance CI/CD pipelines and self-service tooling that accelerate our internal C++/Python builds (The Inner Loop), while simultaneously designing and implementing the "run-anywhere" distributed substrate-leveraging Kubernetes, Helm, and task orchestration-to ensure our platform deploys seamlessly across local, on-prem, and multi-cloud environments (The Outer Loop). Key Responsibilities Scalable Automation Frameworks:
Architect modular, reusable CI/CD and distributed testing frameworks that provide rapid, automated feedback loops for code quality, security, and performance directly within the developer workflow Engineering Self-Service & Tooling:
Design and maintain internal developer platforms, frameworks and tools ecosystem that automates builds, tests, releases. Design & Build Distributed Systems:
Build the task-queue and orchestration layer to manage nTop worker lifecycles. Hybrid-Cloud Infrastructure:
Develop "run-anywhere" deployment patterns using Kubernetes, Helm, and Terraform that work seamlessly across AWS, GCP, and on-premise hardware. Container Security & Isolation:
Implement secure execution environments for untrusted code/designs using technologies like gVisor or Kata Containers. Production CI/CD:
Design and maintain high-performance build pipelines in Jenkins and GitHub Actions Deployment Tooling:
Develop and support
Helm charts
and
Terraform
modules that allow our clients to deploy in their own private clouds or on-prem data centers. Storage Abstraction:
Build or integrate S3-compatible storage layers to handle high-throughput telemetry and design file I/O. Required Skills & Experience Required Technical Skills
Kubernetes & Docker:
Deep experience building production-grade containerized environments and managing K8s resources (Deployments, Jobs, HPA). CI/CD Engineering:
Expert at managing Jenkins (Shared Libraries, Pipelines-as-Code) and integrating with GitHub for automated testing and release management. Infrastructure as Code:
Proficiency with Terraform for managing cloud-agnostic infrastructure. Scripting & Tooling:
Strong proficiency building developer productivity tools, automation frameworks, scripts, and worker services.
Nice to Have
MLOps Familiarity: Knowledge supporting Machine Learning workflows, including model serving and model management (MLflow, Weights & Biases). AI Integration: Experience or interest in deploying or optimizing LLM-based applications, RAG pipelines, or vector databases. GPU Infrastructure: Experience in managing GPU-enabled compute clusters
Why this role is unique at nTop You aren't just managing servers, you are building a product. You will partner with our 3 Engineering Managers and our Infrastructure/QA teams to redefine developer experience and define the next generation of how nTop is consumed by the world's leading aerospace, automotive, and medical device companies. Bonus Points
Experience with GPU-accelerated workloads. Experience with AI/ML technologies, Evals Infra
Benefits:
Outstanding PTO and leave policy ISO options Healthcare: Medical Dental and Vision plans 401k with generous matching Annual stipend for continued career learning/ development Commuter benefits for NY based hires
Compensation The base pay range for this role is $160,000 - $230,000 per year.
  • United States

Sprachkenntnisse

  • English
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