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.
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.
nTop New York, New York, USA Office
199 Lafayette St, 4th Floor, New York, NY , United States, 10012
Similar Jobs
.png)
Greentech • Hardware • Internet of Things • Machine Learning • Software • Business Intelligence • Agriculture
Lead full-cycle recruitment for GTM and other functions, build scalable hiring processes, partner on workforce planning, employer branding, DEI initiatives, and hiring analytics while delivering an excellent candidate experience.
Artificial Intelligence • Cybersecurity
Lead design and execution of new-business email and CRM lifecycle programs for B2B SaaS. Build segmentation, journey logic, messaging, experiments, and reporting. Partner with Content, Product Marketing, Operations, and Data to scale nurture, improve data quality, and drive engagement, conversion, and pipeline influence.
Top Skills:
CRMMarketing Automation
Healthtech
The Channel Leader drives Zerigo Health's channel strategy through partner relationships, facilitating sales, managing account health, and ensuring growth.
Top Skills:
Ai-Driven Personalized Care PlansFda-Cleared Smart Home Device
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
