Full Stack Engineer
The Full Stack Engineer at NexusLeap designs and builds the web applications powered by our data products, working closely with data engineering, product, and research teammates. About NexusLeapAt NexusLeap, we design and build data products that enable organizations to make better decisions. Our work spans analytics, data engineering, and applied AI but always grounded in real business needs. We take a practical, building-block approach: starting with clear, usable tools, strengthening the data systems behind them, and only then layering in more advanced capabilities. This ensures our work compounds over time and earns trust with the people who rely on it. We operate as a collaborative, curious team that values clarity, ownership, and steady progress. Here's what one of our enterprise clients with over $8B in revenue said about us: https://www.linkedin.com/posts/madhavsrinath_kehe-foodandbeverage-analytics-activity-7138200557227311105-aRcMRole Summary We're looking for a Full Stack Engineer to help design, build, and evolve the systems that power NexusLeap's internal platforms and client-facing products. This role is hands-on and spans frontend, backend, and system-level thinking. You'll work closely with data engineering, product, and research teammates to turn ambiguous problems into working solutions. The environment is iterative and fast-moving, and we value engineers who can bring structure and momentum without over-engineering. We're looking for someone who genuinely loves to build. You care about the craft of engineering, you go deep when a problem demands it, and you make thoughtful tradeoffs as requirements evolve. That passion matters to us, and so does sustaining it. We care about a healthy work-life balance and we mean it, because people do their best work over the long run when the pace is sustainable. To get a feel for our dynamic, check out what our team hates about working at NexusLeap: https://www.linkedin.com/posts/madhavsrinath_analytics-companyculture-startup-activity-7087099654437285888-DmM-Technical Direction We're aiming for a simple, scalable foundation and expect this role to help refine it over time. Current direction (not exhaustive):Backend: Python (FastAPI) today. We're open to Node.js as well, so experience in either is welcome. Frontend: TypeScript + React, HTML/CSSData: PostgreSQL, REST APIsInfrastructure: AWS, Docker, Terraform/IaC, CI/CDRegulated environments: we build for FedRAMP, HIPAA, and DoD-adjacent contexts, including work in AWS GovCloud with automated security-posture validation in our pipelines. We're actively working toward formal compliance assessment, so you'd help shape those controls as we go. Some of our work points toward event-driven patterns (scheduled jobs, idempotent data reloads, and operation locking today, with room to grow into queues and retries). Exposure to caching or GraphQL is a plus but not required.
Qualifications:
We expect a strong software-development foundation and genuine interest in working across frontend and backend. Depth in specific technologies and years of experience will vary by candidate. If you've built real systems, learned from them, and can explain your decisions, we want to talk.
We care more about engineering fundamentals than about prior AI experience. If you're a strong full stack engineer who's curious about applied AI but hasn't gone deep on it yet, that's exactly who we're looking for. We'll teach the AI side; we're counting on you to bring the engineering.
Essential:
- Production experience building and operating backend services (Python or Node.js)
- Production experience shipping web UIs in TypeScript + ReactStrong SQL fundamentals (PostgreSQL)
- Deploying and operating services in the cloud (AWS preferred) with Docker and CI/CDComfortable with production basics: authentication/authorization, secrets management, logging, error handling
- Ability to own features end-to-end: clarify requirements, implement, deploy, iterate
- Solid computer-science fundamentals and sound judgment on tradeoffs, with a willingness to learn applied AI on the job
Preferred:
- Experience building in regulated spaces (FedRAMP, HIPAA, DoD/GovCloud, or similar), including the controls auditors expect: RBAC, audit logging, tenant isolation. Experience helping a system work toward formal assessment is a plus.
- Multi-tenant B2B patterns (tenant isolation, RBAC, audit logs)
- Terraform and IaC experience; comfortable reading and extending existing configurations and reasoning about environment separation
- Comfort reasoning about event-driven concerns: retries, idempotency, and dead-letter handling, with interest in building these out
- Experience with data ingestion workflows and data-heavy product UIsWhat You’ll Work OnWeb applications that support data ingestion, exploration, and analysis
- Backend services and APIs connecting data systems, dashboards, and AI/ML components
- Frontend interfaces focused on clarity, usability, and real user workflows
- Early-stage prototypes and POCs that may evolve into production systems
- Incremental improvements to reliability, performance, and developer experience
- Help establish and improve our engineering patterns (repo structure, environments, CI/CD, testing standards)
- Make pragmatic architectural tradeoffs that prioritize maintainability, security, and iteration speed
- Document decisions so systems are easy for additional engineers to understand and extend
What Success Looks Like: In the first 6-12 months:
- You’re independently delivering meaningful contributions across frontend and backend
- You understand core systems well enough to propose improvements, not just implement tasks
- You collaborate effectively with product and data teammates to clarify requirements
- You leave codebases and systems more understandable than you found them
- You take ownership of ambiguous problems and drive them to resolution
- We look for:
- Clear reasoning and communication
- Sound technical judgment and tradeoff awareness
- Comfort navigating ambiguity and real-world constraints
- Ownership mindset and follow-through
Why Join:
- NexusLeapCore values: integrity, dependability, curiosity, and grit
- Collaborative, low-ego team environment
- Get to work with a high-performing team of data experts and dog lovers
- Opportunities to work on meaningful data and applied AI systems
- Professional development support
- Team events, co-working days, and an annual retreat
- Medical, Dental, Vision benefits 401k match
- We sponsor donations to multiple charities picked by our team
In the required screening question regarding the number that stands out to you, make sure to answer with: 2026.11 NexusLeap is an Equal Employment Opportunity employer that proudly strives for a diverse workforce. NexusLeap does not make employment decisions based on race, color, religion, or religious belief, ethnic or national origin, nationality, sex, gender, gender-identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy.