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About the Role

The company is developing an AI-native platform for debt resolution and payments, processing millions of daily communications and managing over $1B in debt. This high-impact engineering role involves architecting and scaling core systems, including microservices, event-driven infrastructure, AI workflows, and agent tooling, directly influencing revenue, reliability, and engineering velocity in a fast-moving environment.

Responsibilities

Design and build scalable backend microservices primarily in Go.
Own database architecture and write high-performance SQL queries with focus on schema design, indexing, optimization, and data integrity.
Collaborate with product stakeholders to translate business requirements into clear technical solutions and scalable systems.
Build AI-enabled platform capabilities including LLM integrations, MCP tooling, agent workflows, and retrieval-based systems.
Operate within a modern cloud-native infrastructure stack leveraging AWS, Kafka, Kubernetes, Docker, PostgreSQL, and Terraform.
Utilize AI coding tools like Cursor, Claude, and Copilot to accelerate development velocity.
Contribute to architectural decisions, scalability planning, observability, and engineering standards across the platform.

Requirements

4+ years of experience in backend software engineering building scalable production systems.
Strong experience building and owning microservices end-to-end in high-volume environments.
Hands-on expertise with SQL, including schema design, indexing strategies, and query optimization.
Experience working in regulated industries such as fintech, payments, or healthcare.
Strong product and systems thinking with ability to independently define technical requirements and edge cases.
Experience using AI coding tools such as Cursor, Copilot, or Claude as part of your daily engineering workflow.
Experience with AI/LLM integrations, MCP tooling, agent systems, or retrieval-based architectures is highly preferred.
Combination of startup and larger company experience preferred.
Experience operating systems handling millions of daily transactions, messages, or events preferred.
Strong familiarity with distributed systems, event-driven architectures, and cloud-native infrastructure preferred.
Comfortable operating in high-ownership, fast-paced environments with minimal bureaucracy preferred.
Strong preference for engineers who enjoy ownership, ambiguity, and building scalable systems from the ground up.

Skills

Go
Golang
PostgreSQL
AWS
EC2
S3
RDS
IAM
CloudWatch
Kafka
Elasticsearch
Docker
Kubernetes
Terraform
Python
Linux
SQL
Schema Design
Indexing Strategies
Query Optimization
LLM Integrations
MCP Tooling
Agent Workflows
Retrieval-Based Systems
Cursor
Claude
Copilot
Distributed Systems
Event-Driven Architectures
Cloud-Native Infrastructure

Location

Austin, TX
Hybrid

Work Type

Hybrid
Full-time

Experience Level

4+ years of experience

Salary/Compensations

$140K - $180K + Competitive Equity

Benefits

Competitive equity
Room for rapid growth
Visa sponsorship available for select visa categories

About the Company

The company is building an AI-native platform transforming how consumers engage with debt resolution and payments at scale. Their infrastructure powers millions of communications daily and supports over $1B in debt across a rapidly growing platform used by leading receivables and collections organizations.
It is a fast-growing Series A company with strong momentum, meaningful customer traction, and significant technical challenges to solve.