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Principal Software Engineer - Developer Platform

USA💼 Full-time💰 $61,000–$61,000🗓 2026-09-04 → 2026-09-26

Core

Define and own portfolio-wide capacity evaluation methods, build a developer platform engineering practice with self-service tooling, and set technical direction for performance, capacity, and resiliency standards for high-traffic distributed systems.

Role type

Principal Software Engineer - Developer Platform

Builds

Self-service tooling, performance test harnesses, automated performance evaluation pipelines, and agentic AI-enabled engineering workflows.

Domain

Financial Services / High-traffic Distributed Systems / Developer Platform Engineering

Deliverable

production ML models | product features | dashboards & analysis | infrastructure

Required skills

Java, Spring Boot, React, workload modeling, capacity estimation, application performance monitoring, observability, CI/CD automation, load testing, Kubernetes, cloud platform architecture, agentic AI workflows, security and resiliency design

Preferred skills

Experience scaling engineering practices across large organizations (500+ engineers), statistical analysis of latency and throughput, distributed tracing, continuous profiling, service virtualization, fault injection, autoscaling strategies, infrastructure as code, cost-per-transaction awareness, human-in-the-loop validation, responsible AI governance

Technologies

AWS, EKS, Dynatrace, OpenTelemetry, JMeter, k6, Gatling, Playwright, Linux, HTTP

Responsibilities

Define and own portfolio-wide capacity evaluation methods using workload modeling and bottleneck analysis. Build a developer platform engineering practice delivering paved roads and self-service tooling. Set technical direction for performance, capacity, and resiliency standards including SLOs and error budgets. Design and implement automated performance evaluation pipelines within CI/CD. Establish front-end performance standards for React applications. Lead resiliency and chaos engineering strategies. Build observability-led capacity intelligence. Coach and enable performance engineers and application teams. Architect and govern agentic AI-enabled engineering workflows.

Seniority

Principal, strategy & mentorship

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