Senior Platform Engineer

Location: New York, NY (On-site, 4-5 days/week in-office)

Salary: $200K - $240K + Competitive Equity

About the Opportunity

The company is building the future of infrastructure management — a platform that investigates, resolves, and prevents issues, giving engineers their time back to focus on building great products. We're looking for a Platform Engineer to own the foundational primitives and surfaces that power product engineering velocity, service infrastructure, and the connectivity layer between agents and customer environments.

You'll architect and operate the systems that every agent invocation, every customer onboarding, and every code review depends on — from internal admin tooling to deploy pipelines to an MCP gateway. Your work compounds across every team that builds on top of you, and you'll partner closely with product, FDE, and research.

This is a core, high-ownership role where your decisions directly shape how fast the team ships and scales.

What you'll do?

• Architect and optimize development infrastructure including internal admin tooling, CI/CD, deploy pipelines, and dev/demo environments

• Build and maintain core service infrastructure on Kubernetes including observability (OTEL, Datadog), secret management, and shared libraries

• Own data infrastructure including schema, storage, and access patterns for investigation traces, agent trajectories, resource graphs, and customer telemetry

• Own the MCP gateway routing every tool call, OAuth and credential management, and lifecycle of self-hosted MCP servers

• Maintain the unified integration catalog powering first-class and long-tail customer integrations

• Set the bar for what "production-ready" means across all product teams

• Use AI aggressively in your engineering workflow — the team are heavy users of Claude Code

What Sets This Role Apart?

• Direct ownership of the platform layer that every engineer and agent depends on

• Multiplier effect across the entire engineering org — when you improve the inner loop, every team ships faster

• Work at the intersection of AI-native infrastructure, agent systems, and enterprise connectivity

• Early-stage, high-trust environment with room to define architecture and standards

• Spacious, collaborative in-person office in New York with a team of ambitious, systems-thinking builders

• Competitive compensation with meaningful equity at a well-funded AI-native startup

Qualifications

• 3–10 years of experience in platform, infrastructure, or backend engineering (titles like Platform Engineer, Infrastructure Engineer, Developer Productivity, Integrations Platform Engineer)

• Strong fundamentals in service-oriented architectures, networking, and systems design

• Proficient in TypeScript with hands-on experience operating production services on Kubernetes

• Proven ability to take ambiguous goals from prototype to production using customer and operational feedback

• Strong code and data modeling skills — clean, scalable, and easy to extend

• Product-focused mindset: you measure success by whether the engineers you serve love what you built

Nice to Have

• Experience with MCP, OAuth, API gateways, or multi-tenant integration platforms

• Strong knowledge with modern observability (OTEL, distributed tracing) and SRE best practices

• Expertise in building internal admin or developer tooling consumed by both humans and agents

• Well-versed in working on agent or LLM systems — context management, tool use, sandboxing

Additional Information

• On-site role in New York, NY (4-5 days/week in office)

• Visa sponsorship: TN and Singaporean visas supported; H-1B transfers considered; new H-1B sponsorship not available

• Strong preference for candidates with startup experience or a zero-to-one mindset

About Sperton

Sperton is a global recruitment and consulting firm with offices across Europe, Asia, and the Americas. We help companies find and manage top talent across borders, delivering fast, compliant, and flexible recruitment, consultant hiring, and global mobility services.