Staff Software Engineer - Instant Access

Plaid

Quick summary

Work type: On-site
Location: New York City, NY
Salary: $207,600–$306,600 / yr
Posted: 6 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $191k

This role $257k

$122k most similar roles pay here $326k

This role pays more than 92% of similar roles. Most pay $156,000–$225,312 — the shaded band above. At the midpoint, this role pays about $257k versus about $191k for comparable roles.

Based on 240 similar postings.

Employer

About Plaid

Plaid is a financial technology company that builds a data network powering digital finance applications, enabling consumers to securely connect their financial accounts to apps and services. Industry: Financial Technology & Data Infrastructure

Plaid currently has 78 open roles on FindRole.

Listed pay typically runs $190,800–$262,800 across 78 roles with salary data.

Most-posted roles

View all roles at Plaid

At a glance

TL;DR · Staff Software Engineer - Instant Access

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As a Staff Software Engineer on the Instant Access team within Plaid’s Network Enablement and Access (NEA) organization, you will play a pivotal role in developing autonomous AI systems that operate in production to create, repair, and improve financial institution integrations. Your responsibilities include defining technical direction for these systems, creating observability platforms, building LLM-powered code generation pipelines, designing evaluation frameworks, and architecting self-healing infrastructure. You will work closely with cross-functional teams to identify automation opportunities and build foundational systems that future AI initiatives rely on. The role requires expertise in backend and platform systems, experience with generative AI, and proficiency in languages like Python or JavaScript. Ideal candidates should be adept at balancing technical excellence with rapid deployment and have a strong background in designing and implementing complex software solutions for large-scale production environments.

Skills

Python Docker Kubernetes Terraform CI/CD PostgreSQL AWS Prometheus Grafana LLM Playwright Stagehand

What you'll do

Define technical direction and architecture for autonomous AI systems in financial institution integrations.
Create observability platforms to monitor and debug AI-powered systems at scale.
Build LLM-driven code generation pipelines for minimal human intervention in production.
Design evaluation frameworks to measure correctness, reliability, and safety of non-deterministic systems.
Architect self-healing infrastructure that detects, diagnoses, and repairs itself within 24 hours.
Develop multi-layer safety architectures to ensure AI systems take correct actions in production.

What we're looking for

8+ years of strong software engineering experience with a focus on backend and platform systems.
Deep expertise in designing and implementing autonomous AI systems for production environments.
Ability to balance exploratory thinking with practical evaluation in technical problem-solving.
Hands-on coding skills, including building novel observability and monitoring platforms.
Experience creating safety architectures for non-deterministic systems operating at scale.

Hybrid

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