Full-Time

Senior DevOps Engineer

Multiple Teams

Posted on 9/4/2025

StackAI

StackAI

51-200 employees

Low-code platform to build AI workflows

Compensation Overview

$130k - $210k/yr

San Francisco, CA, USA + 1 more

More locations: New York, NY, USA

Remote

Hybrid flexibility: collaborate in-person in our San Francisco office while enjoying remote days or be fully remote.

Category
DevOps & Infrastructure (1)
Required Skills
Datadog
Bash
Kubernetes
Microsoft Azure
Python
Grafana
Docker
AWS
Prometheus
Terraform
DevOps
Google Cloud Platform
Requirements
  • 5+ years of experience in DevOps, Cloud, or Infrastructure engineering.
  • Strong expertise with Kubernetes, Terraform, Docker, and Infrastructure as Code (IaC).
  • Hands-on experience with AWS, Azure, and/or GCP.
  • Solid background in CI/CD pipelines (GitHub Actions, Azure DevOps, GitLab CI, etc.).
  • Comfort with scripting/programming (Python, Bash, or similar).
  • Experience with monitoring & observability (Grafana, Prometheus, Datadog, etc.).
  • Strong problem-solving and communication skills, with the ability to thrive in a fast-paced startup environment.
Responsibilities
  • Own cloud infrastructure: Design, implement, and maintain our infrastructure with a strong focus on scalability, security, and cost-efficiency.
  • Lead Kubernetes operations: Manage and optimize containerized applications in Kubernetes (deployment, scaling, monitoring, troubleshooting).
  • Build automation: Drive Infrastructure as Code to standardize, automate, and improve reliability of environments.
  • Streamline CI/CD: Architect and maintain pipelines to accelerate developer productivity and ensure zero-downtime deployments.
  • Enable observability & security: Implement monitoring, logging, and alerting and drive compliance best practices.
  • Collaborate across teams: Work closely with engineers to improve architecture, accelerate deployments, and contribute to strategic initiatives.
  • Experiment & improve: Explore new tools, optimize workflows, and continuously refine our DevOps practices.
Desired Qualifications
  • Experience with FluxCD or similar GitOps tools.
  • Familiarity with security/compliance frameworks (SOC 2, HIPAA).
  • Previous startup experience.

Stack AI builds an enterprise-ready, no-code platform for creating and deploying AI agents and workflow automations. It uses a visual drag-and-drop interface to connect data sources and large language models with business systems like SharePoint, Snowflake, Salesforce, Google Drive, and Notion, enabling knowledge-based assistants, contract analysis, RFP responses, and data extraction. The platform lets teams assemble AI-powered workflows that fetch data, run models, and deploy applications without heavy coding, speeding internal tooling. Its differentiators are enterprise-focused deployment options (including on-premise), compliance (SOC 2, GDPR, HIPAA), and tiered pricing, aimed at reducing deployment time and improving model accuracy across back-office processes.

Company Size

51-200

Company Stage

Series A

Total Funding

$19.1M

Headquarters

San Francisco, California

Founded

2021

Simplify Jobs

Simplify's Take

What believers are saying

  • BlackRock deploys StackAI agents for compliance and reporting automation.
  • PJT Partners automates investment memos using internal deal documents.
  • $16M Series A from Lobby VC fuels AI agent platform expansion.

What critics are saying

  • RelevanceAI erodes LifeMD, Circle Medical base with multimodal agents.
  • LangChain v0.3 commoditizes workflows, diverting technical subscribers.
  • OpenAI Agents SDK prompts BlackRock switch for GPT integration savings.

What makes StackAI unique

  • StackAI's drag-and-drop interface enables non-technical users to build compliant AI agents.
  • Integrates with SharePoint, Snowflake, Salesforce for enterprise data connections.
  • Supports HIPAA, GDPR, SOC2 compliance for regulated sectors like healthcare.

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Benefits

Competitive Compensation Package

Growth & Insights and Company News

Headcount

6 month growth

11%

1 year growth

19%

2 year growth

13%
AIM Research
May 8th, 2025
Stack AI Secures $16M for AI Agents

Stack AI has raised $16 million to develop a platform that allows enterprises to create custom AI agents. These agents can interact with various systems and be deployed for a range of tasks, aiming to enhance work intelligence and efficiency rather than reinvent it.

Toolhunt
May 7th, 2025
RelevanceAI and Stack AI Secure Millions in Funding to Bring AI Agents to the Workforce

Stack AI, on the other hand, secured $16 million in Series A funding for its platform that allows enterprises to connect various data sources with large language models and create customized AI agents.

FinSMEs
May 7th, 2025
StackAI Raises $16M in Series A Funding

StackAI, a San Francisco, CA-based platform provider that enables enterprises to create custom AI Agents, raised $16M in Series A funding.

GeekWire
Aug 2nd, 2024
How Is Ai Helping You At Work? We Asked Seattle Founders And Investors About Their Favorite Tools

From left, top row: Jenny Cronin, Vik Korrapati, William Zee, Nermeeta Dhillon, Mary O’Kelly Boit, T.A. McCann. Bottom row: Minh Le, Morgan Blumberg, Diego Oppenheimer, Lekshmi Venu, Martín Ramírez, Dave Parker. (GeekWire Photos / Taylor Soper)The use cases for generative AI are still being ironed out amid a plethora of new tools hitting the market. It’s not totally clear what can actually provide value to everyday work — but there are certainly some early signals of adoption. That was our takeaway after speaking with Seattle founders, investors, and innovators at the AI2 Incubator‘s annual summer party on Thursday evening.The BBQ bash, hosted by the Seattle-based firm that invests and incubates AI-focused startups, was the perfect place to get a pulse on popular AI apps and services that folks are using.Many were quick to mention a favorite tool that was saving time or helping boost knowledge

TechCrunch
May 21st, 2024
Stack AI raises $3M for AI workflows

Stack AI, founded by MIT PhD graduates Antoni Rosinol and Bernardo Aceituno, aims to simplify AI-driven workflow creation. After joining Y Combinator's Winter 23 cohort, they developed a low-code tool for building AI workflows, such as chatbots and AI assistants. The platform connects data sources and LLMs, enabling powerful automations with minimal coding. In six months, they’ve gained over 200 customers and raised $3 million. Early adopters include the healthcare sector, where data reliability is crucial.

INACTIVE