MintMCP Logo

MintMCP

Software Engineer

Posted Yesterday
Be an Early Applicant
Hybrid
2 Locations
Entry level
Hybrid
2 Locations
Entry level
Build and own backend infrastructure, MCP gateway features, enterprise deployments, connectors, and agentic systems end to end. The role emphasizes secure architecture, permissions, trust boundaries, auditability, production reliability, and rapid product iteration. Engineers work across the stack using AI coding agents, make product and UX decisions, support customer deployments, and address security-sensitive issues. The company hires across experience levels and values shipping ability, judgment, range, and fast learning.
The summary above was generated by AI
About Us

MintMCP helps companies put agents to work safely. We exist to help companies do more of their work with agents, and we build the infrastructure that makes a company's own work runnable by them. That has to start from trust. Our first product is an MCP gateway that gives those agents governed access to company data and tools.

Before agents can touch Slack, GitHub, Jira, Snowflake, internal databases, or production systems, you need to know what they can reach, what they did, and why they were allowed to do it. Most people carry far more permissions than any single task needs. If an agent uses your token directly, it inherits all of them. MintMCP scopes that access down to exactly what an agent needs to do its job and captures the data flows and audit logs security teams need. From there we are building the rest of the agent stack: connectors, monitoring, sandboxing, long-running agents, and memory, with the goal of becoming the system a company's work runs on.

We work in person in the San Francisco Bay Area. The structure is flat and the market moves fast, so you have a lot of latitude over what you work on and how.

AI-Native Startup

We are AI-native. Everyone uses Claude and Codex every day, and we have more agents than employees. They run in Slack alongside the team, write code, review PRs, and handle sales, marketing, and deal ops on the same gateway we sell to customers. We are building an entire company operating system around them, and you will help build it.

Traction

Since launching in February 2026, we have grown to 50+ paying customers, with strong inbound demand. Customers include Coursera, Arlo, and Braze. We are backed by Cowboy Ventures and Coatue, with angels including Frederic Kerrest (Okta), Michael Grinich (WorkOS), Andrej Karpathy, Jeff Dean, and Scott Belsky. Our founders are machine learning experts from Stanford, Berkeley, and CMU, with applied research at Google Brain and Waymo, and one co-founded Coursera.

The Job

You will own features end to end, from conception to production, across our gateway infrastructure, enterprise deployments, and agentic systems. The work leans backend and infra, but nothing is off limits: when the product needs a better UI you build it, and when a connector breaks during a security review you fix it.

Claude and Codex are your primary working environment, and you use a fleet of agents to move faster than a team this size has any right to. Agents write much of the code and review PRs, so your real job is the judgment they cannot make: shaping the problem, making architecture, product, and UX calls, hardening enterprise paths, designing connectors, protecting security-sensitive surfaces, and catching generated code that is quietly wrong. Roles are blurred and we ship within hours, and you will learn directly from the founders and from customers.

We hire across levels, from strong early-career builders to seasoned engineers, and we set level and pay to match. What matters most is judgment, range, and how fast you ship.

About You

  • You are a builder with a track record of shipping to real users, whether that is a product, an internal tool, an open-source project, or a serious side project. You ship, then iterate, without waiting for specs or approvals.

  • You have strong fundamentals and learn fast. How quickly you pick things up matters as much as years of experience.

  • You care about product value and customer needs over technical purity.

  • You take infra seriously. You think about blast radius, trust boundaries, and what happens when your code is in the path of every customer's agents.

  • You can read unfamiliar code, reason from first principles, and explain your tradeoffs.

  • You are comfortable across the stack (TypeScript, Python, CockroachDB), or you pick up new languages, protocols, and domains fast.

  • You are excited to build with agents, and to learn when they help and when they hide a problem.

  • You already build with AI every day and want room to move without heavy process.

Nice to have:

  • Developer-facing products, protocol or gateway work, or infrastructure at scale.

  • Background in security, identity, or permission systems.

  • Contributions to open source, MCP servers, or agentic frameworks.

  • Design sensibility: engineers who care about design, designers who think about infrastructure.

What we offer:

  • Competitive compensation and meaningful equity.

  • Unusual scope and ownership of features that ship to enterprise customers.

  • Building and deploying agents on the same platform we sell.

  • Direct access to the founders, customer context, and product direction, with mentorship as you grow.

  • Health benefits, on a team that puts family and health first.

Prefer to have your agent apply? Point it at https://www.mintmcp.com/hiring/mcp

Similar Jobs

Yesterday
Hybrid
Santa Clara, CA, USA
240K-420K Annually
Expert/Leader
240K-420K Annually
Expert/Leader
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Set technical direction for cloud-native platforms spanning Kubernetes, distributed systems, and hyperscaler infrastructure. Design architectures for multi-cloud topology, control planes, workload isolation, identity, reliability, and large-scale operations. Lead architectural decisions across engineering teams, mitigate technical risks, promote best practices, mentor senior engineers, and guide platform strategy for highly scalable, multi-cluster environments.
Top Skills: AksAWSAzureCniContainer NetworkingCrossplaneDistributed SystemsEksFedrampGCPGitopsGkeGoKata ContainersKubernetesMetricsMtlsObservabilityOciService MeshSpiffeSpireTracing
Yesterday
Hybrid
Santa Clara, CA, USA
126K-195K Annually
Mid level
126K-195K Annually
Mid level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Build and maintain scalable backend applications for ServiceNow’s platform engineering team. Responsibilities include software design, Java development, reusable architecture, code reviews, unit testing, test automation, performance optimization, and product delivery. The role partners with developers and product owners to enhance existing products and create new features. Candidates should understand data structures, algorithms, object-oriented design, design patterns, web platforms, and AI-enabled productivity or workflow solutions.
Top Skills: AWSCursorJavaJavaScriptServicenowUnixWindsurf
Yesterday
Hybrid
Santa Clara, CA, USA
176K-308K Annually
Senior level
176K-308K Annually
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Develop highly scalable Java software for ServiceNow’s platform persistence systems. Manage data lifecycles, storage, retrieval, security, performance, and recovery across relational and distributed systems. Collaborate cross-functionally on data initiatives, telemetry, visualization, and Kubernetes deployments while applying concurrency, parallel programming, and AI-assisted development practices.
Top Skills: Amazon S3Apache IcebergJavaJavaScriptKubernetesRelational DatabasesServicenow Platform

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account