Senior Fullstack Engineer – Product Platform Engineering

Jobtailor

California (MO)

On-site

USD 150,000 - 210,000

Full time

3 days ago

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Job summary

Jobtailor seeks a platform software engineer to design, build, and operate scalable cloud-native platform services. You will create composable abstractions and interfaces for product teams, ensuring reliable data flows across systems.

This role requires 5+ years in fullstack/backend/platform engineering, strong Python, and hands-on experience with GCP, Kafka, and data modeling. You will collaborate across teams and own components end-to-end.

Qualifications

5+ years of experience in fullstack, backend or platform software engineering.
Strong software engineering foundation with Python.
Hands-on experience designing and operating cloud-native systems (GCP).
Experience with relational databases and production schema evolution.
Familiarity with event-driven architectures (Kafka, Pub/Sub, Kinesis).
Ability to move between domains such as authorization, messaging, and data pipelines.
Strong product instincts and customer-focused system judgment.
Self-directed and proactive, with collaborative mindset.

Responsibilities

Design, build, and operate platform services and schemas end to end.
Create composable abstractions and well-defined interfaces for product teams.
Design scalable and reliable system interactions and data flows.
Balance scalability, reliability, security, and performance in architectural decisions.
Build and evolve monitoring, alerting, dashboards, and testing pipelines.
Identify recurring patterns and reduce operational toil through abstractions, tooling, and AI-assisted tooling.
Partner with product engineering, data, infrastructure, and feature teams.
Own platform components end to end and drive their reliability and evolution.

Skills

Fullstack Software Engineering

Python Programming

Cloud-Native Systems Design

Relational Database Modeling

Event-Driven Architecture

Tools

GCP

Kafka

Pub/Sub

Kinesis

Job description

Design, build, and operate platform services, libraries, and schemas from design through production
Build composable abstractions and well-defined interfaces for product teams
Design scalable and reliable system interactions and data flows
Balance scalability, reliability, security, and performance in architectural decisions
Build and evolve monitoring, alerting, dashboards, and testing pipelines
Identify recurring patterns and reduce operational toil through abstractions, tooling, and AI-assisted tooling
Partner with product engineering, data, infrastructure, and feature teams
Own platform components end to end and drive their reliability and evolution

Requirements

5+ years of experience in fullstack, backend or platform software engineering
Strong software engineering foundation with solid coding skills; Python preferred
Hands-on experience designing and operating cloud-native systems; GCP preferred
Experience with relational databases and data modeling, including schema evolution in production
Familiarity with event-driven architectures (Kafka, Pub/Sub, Kinesis, or similar)
Range to move between domains such as authorization, messaging infrastructure, and data pipelines
Strong product instincts and customer-focused system judgment
Self-directed and proactive
Comfortable in greenfield environments with evolving requirements and ambiguous ownership
Low-ego and collaborative by default
Candidates must be authorized to work in the United States without current or future employer sponsorship

Core Competencies

Demonstrates expertise in designing and operating cloud-native systems, with a strong foundation in software engineering and proficiency in Python. Capable of building scalable, reliable platform services and collaborating effectively across product and engineering teams.

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