Senior Staff Software Engineer - Agent Marketplace
Kong
San Francisco, CA · $250k–$270k a year · Posted October 7, 2026
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Where San Francisco, CA placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #1Best cities for security jobs316 openings · of 20
- #1Best cities for technology jobs7,178 openings · of 100
- #1Best cities for financial services pay after cost of living$173k · of 33
- #1Best cities for entry-level jobs that want AI skills35% · of 100
- #1Best cities for entry-level jobs that want AI skills in the West Coast35% · of 54
- #1Cities with the most jobs that do not need a four-year degree in the West Coast902 jobs · of 47
Rankings about engineering jobs
- Best cities for software and engineering jobs #1 San Francisco (3,412 openings)
- Best cities for engineering pay after cost of living #1 San Mateo ($216k)
- Most requested AI skills in engineering jobs #1 AI tools in daily work (6.1%)
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- Employers with the most engineering jobs #1 Amazon (2,992 roles)
Pay compared with the market
This listing pays about $260,000 a year. Across 39 open senior staff software engineer listings that state pay, the middle half runs $239,000 to $292,000 and the median is $279,000. That is inside the middle half of those listings, 7% below the median.
Listed pay is what employers advertise, not what people are paid.
Senior Staff Software Engineer salaries by state · Check your own pay
How AI is used in this kind of work
Among software developers, AI is already used for some of the tasks. Measured exposure for software developers: 29% (some).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
Skills this job asks for
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About the job
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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).
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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 http://www.konghq.com.