CareerPlan

Software Engineer

San Jose, California, United States of AmericaFull-time$117k–$173k2026-10-29 → 2026-11-10

Core

Building and operating in-house systems to keep a large-scale Kubernetes production environment fast, reliable, and efficient using machine learning, data analysis, and automation.

Role type

Junior to Mid-level Software Engineer (Platform/Infrastructure)

Builds

Production Kubernetes clusters, automation tools, and platform systems supporting millions of users and billions in transactions.

Domain

Fintech / Cloud Infrastructure / Kubernetes

Deliverable

infrastructure

Required skills

Go, Java, Python, Kubernetes, Cloud platforms (GCP), Automation, Observability (metrics/tracing/logging), Root cause analysis, SDLC

Preferred skills

Machine learning/statistical methods for ops, Large-scale cluster management, Code review participation

Technologies

Kubernetes, Google Cloud Platform (GCP), Go, Java, Python

Responsibilities

Implement tasks within the SDLC under oversight, follow internal conventions and standards, collaborate with peers and leads on solutions, contribute to code and design reviews, design and operate home-grown platform components, apply ML/AI to improve cluster efficiency, build automation to reduce manual work, analyze system behavior at scale, take operational ownership and drive root cause analysis, work independently on well-scoped projects.

Seniority

Junior to Mid-level, hands-on IC