Full-Time

Member of Technical Staff

Platform

Valkai

Valkai

Agent platform for pharma and device workflows

Compensation Overview

$200k - $350k/yr

+ Equity

San Francisco, CA, USA + 1 more

More locations: New York, NY, USA

In Person

Category
DevOps & Infrastructure (1)
Required Skills
Microsoft Azure
Python
Incident Response
Distributed Systems
Postgres
Data Engineering
TypeScript
AWS
Next.js
Observability
DevOps
Requirements
  • Strong systems fundamentals, including reasoning about reliability, performance, security, data consistency, and failure modes.
  • Comfort operating the systems built and improving them based on real incidents and usage.
  • Pragmatic engineering judgment to balance immediate product needs with foundations required for long-term scale.
  • Ability to identify high-leverage infrastructure problems, create plans, and drive them to completion.
  • Security-minded thinking focused on sensitive data, access controls, isolation, and auditability as core design constraints.
  • Ability to communicate infrastructure clearly and work closely with product and artificial intelligence engineers.
Responsibilities
  • Build and operate reliable infrastructure across sandboxes, clusters, databases, caches, vector databases, and object storage.
  • Improve deployment and upgrade systems for cloud and self-hosted environments.
  • Build observability, incident response, performance, and capacity systems for production services.
  • Improve continuous integration, delivery, and developer workflows.
  • Build integrations, indexing pipelines, and retrieval infrastructure that make enterprise knowledge useful to agents.
  • Strengthen platform security through isolation, access controls, hardening, testing, and compliance work.
  • Own systems from architecture and implementation through production operation and long-term improvement.
Desired Qualifications
  • Experience building and operating cloud infrastructure or distributed systems at meaningful scale.
  • Experience with self-hosted enterprise deployments, security programs, or regulated data.
  • Experience with search, retrieval, data integration, or large-scale indexing systems.
  • Experience leading production incidents and making systems more resilient afterward.
  • Experience working in a high-growth early-stage company.
  • Familiarity with Next.js, TypeScript, Python, Postgres, Azure, and AWS.

Valkai builds an agent orchestration layer for pharmaceutical, biotech, and medical device companies, connecting the siloed systems, teams, and outside data that make development slow. Its agents run on an organization's own SOPs, precedents, and regulatory context, draw on more than 100 data sources, and execute multi-step workflows that end in review-ready documents with citations, covering everything from discovery through commercialization. The company says more than 200 agent systems coordinate work across those stages, and it deploys through private cloud or managed SaaS. Unlike a general-purpose assistant, the agents are bound to the procedures and evidence standards a regulated submission requires. The company's goal is to compress work that currently takes months into weeks by removing the handoffs between systems.

Company Size

N/A

Company Stage

N/A

Total Funding

N/A

Headquarters

N/A

Founded

N/A

Simplify Jobs

Simplify's Take

What believers are saying

  • Valkai’s site says it serves the world’s largest pharma, biotech, and med-device companies.
  • Open roles in New York and San Francisco signal active hiring in 2026.
  • The company targets regulated workflows, where compliance pain creates sticky enterprise adoption.

What critics are saying

  • Simplify shows no independent funding, customers, or partnerships beyond Valkai’s own site.
  • Valkaai’s €12 million pre-seed news creates name confusion and weakens investor credibility.
  • If pharma pilots stall, the company’s broad platform story becomes an existential sales trap.

What makes Valkai unique

  • Valkai sells an agent orchestration layer across R&D, clinical, regulatory, quality, manufacturing.
  • It claims 200+ agent systems and 100+ data sources, spanning the full lifecycle.
  • The team says it was built by OpenAI, Glean, and life-sciences veterans.

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Benefits

Health Insurance

Dental Insurance

Vision Insurance

Paid Vacation

Paid Parental Leave

Company Equity