The Senior Software Engineer will enhance developer velocity and product delivery by managing CI/CD pipelines, distributed systems, and hybrid-cloud infrastructure for nTop's software solutions.
Company Context
Role
Key Responsibilities
Required Skills & Experience
Required Technical Skills
Nice to Have
Why this role is unique at nTop
Bonus Points
Benefits:
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
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).
- 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.
- 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.
- 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
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.
- Experience with GPU-accelerated workloads.
- Experience with AI/ML technologies, Evals Infra
- 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
The base pay range for this role is $160,000 – $230,000 per year.
nTop New York, New York, USA Office
199 Lafayette St, 4th Floor, New York, NY , United States, 10012
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