Staff Software Engineer - 100M Series A - Multi-City + REMOTE

Incendia Partners; San Francisco (CA); Hybrid; USD 150,000 - 200,000; Full time

Benefits offered by this job

Competitive salary

Equity in a Series A company

Remote work availability

Job summary

Incendia Partners is seeking experienced Senior Staff Engineers to join their team in San Francisco. Candidates can specialize in Fullstack, Infrastructure, ML/AI, DevOps, or Security tracks. You will drive technical direction, mentor engineers, and build data systems to support AI initiatives.

Ideal candidates will have 8+ years of engineering experience and a track record of scaling systems in production. The company offers a competitive salary and equity.

Qualifications

• 8+ years of software engineering experience with leadership responsibilities.
• Experience with building scalable production systems.
• Strong communication skills to drive technical decisions.

Responsibilities

• Lead technical direction and mentor cross-functional teams.
• Design and build scalable data platform components.
• Own CI/CD pipelines and improve developer velocity.

Skills

Technical leadership

Mentorship

Distributed systems

Data pipeline design

CI/CD practices

Tools

Kubernetes

Terraform

Kafka

Spark

Job description

Senior Staff Engineers — Multiple Tracks

Series A ($120M) | AI Data Platform

About Us

We are building the data infrastructure that powers the next generation of AI systems. Having recently closed a $120 Million Series A, we’re scaling our team rapidly across engineering disciplines. We’re looking for Staff-level engineers who can set technical direction, mentor teams, and operate with high ownership in a fast-moving, high-leverage environment.

We’re hiring Staff Engineers across five tracks: Fullstack, Infrastructure, ML/AI, DevOps, and Security. Below are role‑specific descriptions — candidates may indicate which track(s) best fit their background.

What You’ll Do (All Tracks)

• Operate as a technical leader: architect systems end to end, set technical direction for your area, and ensure delivery of reliable, scalable, enterprise-grade systems.
• Partner cross-functionally with product, design, and other engineering teams to shape roadmap and technical strategy.
• Mentor and uplevel engineers across the org; help establish engineering culture, standards, and best practices.
• Drive projects from design through production, balancing speed with long-term maintainability.
• Contribute to a high-trust, high-autonomy environment — we manage our own infrastructure as code and expect deep ownership of the systems you build.

Track‑Specific Responsibilities

Staff Fullstack Engineer

• Design and build user-facing applications and the APIs/services that power them.
• Own features end to end — from data model and backend services to frontend UX.
• Collaborate closely with design and product to deliver polished, performant experiences.
• Establish patterns for frontend architecture, component libraries, and API design.

Staff Infrastructure / Data Platform Engineer

• Architect and lead core data platform components across ingestion, processing, storage, and serving layers at petabyte scale.
• Design event-driven and batch data pipelines (e.g., Kafka, Spark, Airflow, dbt) supporting AI training and inference workloads.
• Implement data governance, lineage, quality, and observability frameworks for audit-ready, compliance-grade pipelines.
• Optimize for cost, performance, and reliability across multi-tenant cloud environments (AWS/GCP).

Staff ML/AI Engineer

• Design and build infrastructure and tooling that supports model training, fine-tuning, evaluation, and serving at scale.
• Partner with research and product teams to productionize ML/LLM-based features (e.g., intelligent ranking, automated analysis pipelines).
• Build robust feedback loops between model outputs and data pipelines to support continuous improvement.
• Evaluate and integrate new ML frameworks, vector stores, and serving infrastructure as the field evolves.

Staff DevOps Engineer

• Own CI/CD pipelines, deployment infrastructure, and developer tooling across the org (e.g., Kubernetes, Argo, Terraform).
• Build and maintain monitoring, alerting, and incident response systems (e.g., Datadog, PagerDuty).
• Drive infrastructure‑as‑code practices and improve developer velocity through tooling and automation.
• Partner with all engineering teams to ensure scalable, observable, and cost‑efficient infrastructure.

Staff Security Engineer

• Define and implement security architecture across cloud infrastructure, data pipelines, and applications.
• Lead efforts on data privacy, compliance (e.g., SOC 2, HIPAA — relevant given sensitive data handling), and access control.
• Conduct security reviews, threat modeling, and incident response for production systems.
• Partner with engineering teams to embed security best practices into the development lifecycle.

What We’re Looking For

• 8+ years of professional software engineering experience, with demonstrated Staff-level scope (architecture ownership, cross-team influence, mentorship).
• Track record of building and scaling systems in production at meaningful scale (data volume, traffic, or org size).
• Strong communication skills — able to drive technical decisions across teams and articulate tradeoffs to both technical and non-technical stakeholders.
• Comfort operating in ambiguity at an early-stage, fast-growing company.
• Track‑specific technical depth (e.g., distributed data systems for Infra; ML serving/training infra for ML/AI; Kubernetes/IaC for DevOps; cloud security frameworks for Security; modern frontend/backend stacks for Fullstack).

Nice to Have

• Experience in regulated industries (healthcare, finance) and familiarity with compliance-grade data handling.
• Experience scaling teams — hiring, mentoring, and establishing engineering culture at an early-stage company.
• Familiarity with LLM-based tooling and AI-assisted data workflows.

What We Offer

• Competitive salary and equity in a well-funded, high-growth Series A company.
• High-impact role with direct influence on technical direction and company trajectory.
• Offices in San Francisco and New York City, with remote work available for most roles.