Backend Software Engineer

Location: Austin, TX (Hybrid, 4 days/week in-office)

Salary: $140K - $180K Competitive Equity

The company is building an AI‑native platform transforming how consumers engage with debt resolution and payments ir infrastructure powers millions of communications daily and supports over $1B in debt across a rapidly growing platform used by leading receivables and collections organizations.

They’re looking for a Backend Software Engineer to help architect and scale the core systems behind the platform — from high-throughput microservices and event‑driven infrastructure to AI‑enabled workflows and agent tooling.

This is a high‑impact engineering role where every service you build directly influences revenue, platform reliability, and engineering velocity. You’ll work closely with product and engineering leadership in a lean, fast‑moving environment where ownership is expected and execution speed matters.

• Design and build scalable backend microservices primarily in Go powering a platform processing millions of daily communications and transactions.
• Own database architecture and write high‑performance SQL queries with strong focus on schema design, indexing, optimization, and data integrity.
• Collaborate directly with product stakeholders to translate ambiguous 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, Postgre
  
  SQL, and Terraform.
• Use AI aggressively in your engineering workflow — the team are heavy users of Cursor, Claude, and Copilot to accelerate development velocity.
• Contribute to architectural decisions, scalability planning, observability, and engineering standards across the platform.

• Direct ownership of systems operating at meaningful scale in a compliance‑critical environment.
• Opportunity to work on AI‑native backend infrastructure rather than superficial AI wrappers or internal experiments.
• Small, high‑performing engineering team where strong engineers have outsized influence on architecture and execution.
• Rare combination of product ownership, distributed systems engineering, and applied AI development.
• Fast‑growing Series A environment with strong momentum, meaningful customer traction, and significant technical challenges to solve.
• Competitive compensation and equity with room for rapid growth as the company scales.

• 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, healthcare, or other compliance‑heavy domains.
• 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.
• Experience operating systems handling millions of daily transactions, messages, or events.
• Strong familiarity with distributed systems, event‑driven architectures, and cloud‑native infrastructure.
• Comfortable operating in high‑ownership, fast‑paced environments with minimal bureaucracy.

Go (Golang), Postgre

SQL, AWS (EC2, S3, RDS, IAM, Cloud Watch), Kafka, Elasticsearch, Docker, Kubernetes, Terraform, Python, Linux.

• Hybrid role based in Austin, TX (4 days/week in-office, Wednesdays remote).
• Visa sponsorship available for select visa categories; new H‑1B sponsorship not available.
• Strong preference for engineers who enjoy ownership, ambiguity, and building scalable systems from the ground up.