Kong Inc. logo

Kong Inc.

Senior Staff Software Engineer - Agent Marketplace

Hybrid

Part remote, part office, you need to live within commuting distance of a named location.

Hybrid · San Francisco, California, United States

Employer listed it 6 weeks ago · Added yesterday

Been open since 6 weeks ago, still checked daily, but it has been live a while.

Salary

$250,000–$270,000

Location

Hybrid · San Francisco, California, United States

Timezone

US East

Contract

Full-time

Experience

Lead

Category

Software

Published by the employer

Remote flexibility

Hybrid

This role is only partly remote, the employer expects time in the office around San Francisco, California, United States, Hybrid, so you need to live within commuting distance.

What the employer says

  • Source listing states candidate location: "San Francisco, California, United States, Hybrid"
  • Listing mentions "Hybrid"

What Nomaders makes of it

  • Not suitable if you plan to move between countries

The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.

About the role

Are you ready to unlock intelligence?

If you don’t think you meet all of the criteria below but are still interested in the job, please apply. Nobody checks every box - we’re looking for candidates that are particularly strong in a few areas, and have some interest and capabilities in others.

About the Role:

Architect the future of machine-to-machine commerce as a founding member of a zero-to-one engineering squad. You will design, build, and scale the coordination fabric for agent-to-API and agent-to-agent transactions—spanning discovery, identity, billing, and settlement—built directly on top of Kong’s world-class runtime stack. Operating as an autonomous startup unit inside Kong, this team is responsible for lowering organizational drag, unlocking engineering velocity, and establishing Kong’s absolute leadership in the Agentic Era.

What You’ll Do:

Architect and own the end-to-end full-stack surfaces of the marketplace loop, delivering high-performance tools, the underlying REST API substrate, and developer-facing onboarding systems.

Design the foundational agent-native user experience, creating robust Model Context Protocol (MCP) server capabilities, sandboxed test environments, and elegant CLI/SDK generation workflows.

Scale and protect the transaction infrastructure by building high-reliability pipelines for programmatic identity verification, usage attribution, granular metering, and complex multi-party settlement.

Drive cross-functional execution across Kong's engineering ecosystem, partnering with gateway runtime, security plugins, and global core teams to smoothly integrate marketplace features.

Lead architectural design reviews and champion a zero-technical-debt culture while proactively preventing scaling bottlenecks across distributed backend components.

Mentor engineers across the organization, multiplying the team's output by translating ambiguous product bets into highly defined, modular, and shippable technical milestones.

Own the technical lifecycle completely by writing crystal-clear engineering documentation and product specifications for every system you architect.

What You’ll Bring:

7+ years of experience engineering enterprise-grade production software with a proven capability to design, build, and support complex distributed systems from scratch.

Master-level expertise with a modern backend stack (such as Golang or similar systems languages) alongside deep architectural command of API infrastructure, Kubernetes, and cloud-native patterns.

Extensive hands-on experience developing autonomous agent applications, tool-calling systems, prompt loops, or systems designed explicitly for machine consumption.

Deep operational familiarity with multi-tenant architectures, usage-based metering pipelines, billing integration patterns, or secure data exchange layers.

Strong written communication and technical articulation skills, with an unwavering comfort operating within remote, globally distributed engineering environments (West Coast/Bay Area alignment preferred).

#LI-BR2

About Kong:

Kong Inc., the AI Connectivity Company, is building the connectivity layer of AI. Trusted by the Fortune 500® and AI-native startups alike, Kong’s unified API and AI platform enables organizations to secure, manage, accelerate, govern, and monetize the flow of intelligence across APIs and AI traffic — on any model, any cloud. For more information, visit www.konghq.com .

Requirements

  • ·7+ years of experience engineering enterprise-grade production software with a proven capability to design, build, and support complex distributed systems from scratch.
  • ·Master-level expertise with a modern backend stack (such as Golang or similar systems languages) alongside deep architectural command of API infrastructure, Kubernetes, and cloud-native patterns.
  • ·Extensive hands-on experience developing autonomous agent applications, tool-calling systems, prompt loops, or systems designed explicitly for machine consumption.
  • ·Deep operational familiarity with multi-tenant architectures, usage-based metering pipelines, billing integration patterns, or secure data exchange layers.
  • ·Strong written communication and technical articulation skills, with an unwavering comfort operating within remote, globally distributed engineering environments (West Coast/Bay Area alignment preferred).

Benefits

No benefits package published with this listing. Ask about it at first interview.

How to apply

  1. 1Check the flexibility label above, hybrid, matches where you plan to live and work.
  2. 2Tailor your CV to the role at Kong Inc., mentioning your remote working experience and working hours (US East).
  3. 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.

Found 1d ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.

Listing sourced from Company boards.

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