The Role
Build and scale developer productivity platform and tooling: developer harness for coding assistants, repository context management, internal CLIs, automated workflows, intelligent CI/CD integration, search/knowledge retrieval systems, and cross-functional solutions to accelerate C++/Python engineering teams.
Summary Generated by Built In
Company Context
Role
Key Responsibilities
Required Skills & Experience
Why this role is unique at nTop
Nice to Haves
Benefits
nTop is pioneering the future of computational design software, pushing the boundaries of performance and delivering mission-critical components faster than ever before. We are transforming how engineers design complex geometries, particularly in sectors like Aerospace & Defense where programs face an impossible reality: deliver next-gen aircraft faster, with fewer experts, and zero tolerance for failure. nTop changes how these products 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 (5-10 years experience) to revolutionize our internal developer velocity by building the next generation of developer infrastructure and smart tooling. You will bridge the gap between our engineering teams and modern coding assistants, moving beyond traditional CI/CD to treat developer experience (DevEx) as a first-class product.
You will own the developer harness for our engineering organization—building automated support workflows, managing repository context (like claude.md), and designing self-service tooling that seamlessly integrates into the developer workflow to accelerate our C++/Python engineering teams.
- Development Harness: Build, manage, and scale the infrastructure that supports modern coding assistants. Create robust pipelines to measure and improve the quality of automated code generation and internal tools, implementing and managing context files (like claude.md) across repositories.
- Intelligent Developer Tooling: Design and maintain an ecosystem of internal CLI tools, automated workflows, and self-service platforms that eliminate friction and cognitive load for product engineers.
- Workflow Orchestration: Develop and maintain automated systems (e.g., Slack support bots, triage assistants) to streamline engineering operations, utilizing search and knowledge-retrieval architectures to seamlessly surface internal documentation.
- Context Management: Own and optimize repository context systems (including configuration files, rulesets, and prompt libraries) to ensure developer coding tools provide highly accurate, domain-specific suggestions.
- Next-Gen CI/CD Integration: Architect modular testing and feedback frameworks (leveraging GitHub Actions, etc.) that provide rapid, automated, and intelligent feedback on code quality directly within the developer's inner loop.
- Cross-Functional Collaboration: Partner directly with Engineering Leadership, QA, and feature teams to identify bottlenecks in the development lifecycle and build automated, software-driven solutions.
- Software Engineering: Strong programming proficiency in Python, Go, or TypeScript. You approach infrastructure and productivity problems by writing software, not just configuring yaml.
- Infrastructure Evolution: Proven experience transitioning traditional DevInfra/DevOps workflows and concepts into smart, automated developer platforms.
- Applied LLM Tooling: Practical experience building internal tools utilizing LLM APIs (e.g., Anthropic), designing architectures for internal knowledge retrieval, and implementing complex automation.
- Developer Productivity (DevEx): Deep understanding of modern developer workflows, encompassing GitHub Actions, local development environment orchestration, and building tools for other engineers.
- Tooling & Automation: Strong proficiency in building automated frameworks, worker services, and custom internal portals that integrate seamlessly with existing toolchains.
- Foundation in Infrastructure: Solid working knowledge of containerization (Docker, Kubernetes) and cloud environments to deploy, scale, and manage the internal tooling you build.
You aren't just managing servers or maintaining release pipelines; you are shaping a forward-thinking, highly automated engineering culture. You will redefine how computational design software is built by creating a frictionless, highly optimized environment for our engineers, directly accelerating the delivery of a product consumed by the world's leading aerospace, automotive, and medical device companies.
- Experience with heavy computational engineering tech stacks (C++ build systems, CMake).
- Knowledge of MLOps, model serving, and model management tools.
- 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.
Skills Required
- 5-10 years software engineering experience (senior-level)
- Strong programming proficiency in Python, Go, or TypeScript
- Proven experience evolving traditional DevInfra/DevOps into automated developer platforms
- Practical experience building internal tools using LLM APIs (e.g., Anthropic/Claude) and knowledge retrieval architectures
- Deep understanding of developer workflows, GitHub Actions, and local development environment orchestration
- Proficiency building automated frameworks, worker services, and internal portals integrated with toolchains
- Working knowledge of containerization (Docker, Kubernetes) and cloud environments for deployment and scaling
- Experience with C++ build systems and CMake
- Knowledge of MLOps, model serving, and model management tools
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The Company
What We Do
nTop (formerly nTopology) was founded in 2015 with the belief that engineers’ ability to innovate shouldn’t be limited by their design software. We’re bringing additive manufacturing to mainstream production by enabling engineers to create complex geometries, optimize instantaneously, and automate workflows to create groundbreaking products in record time.
