Backend Engineer, Scalable Payments & Data Pipelines

Softadom; United States; Remote; USD 120,000 - 150,000; Full time

Job summary

Softadom is seeking a backend engineer to build reliable services under heavy load, including payments, entitlements, reporting, and SaaS integrations. The engineer partners with full-stack colleagues and external clients to define durable service contracts, thoughtful data models, and safe migration plans.

You will emphasize correctness, observability, and operational clarity, shipping migrations without downtime while surfacing actionable signals to operators.

Qualifications

• Proven experience building production backends that handle load-sensitive workloads.
• Strong SQL skills with query tuning and transactional guarantees.
• Familiarity with background job systems, rate limiting, retries, and structured logging.
• Ability to define durable service contracts and data models.
• Capable of debugging with stack traces and safe failure design.
• Experience collaborating with full-stack engineers and client stakeholders.

Responsibilities

• Design and implement backend services handling payments, entitlements, reporting, and external SaaS integrations.
• Tune SQL queries and schema decisions to support transactional integrity and predictable performance.
• Build background processing jobs with retries, rate-limiting, and structured logging.
• Reason about failure modes and surface actionable signals to operators.
• Plan and execute database migrations without downtime or data loss.
• Mentor peers on database fundamentals, debugging, and migration-safe changes.

Skills

Backend systems

SQL optimization

Background jobs

Service contracts

Data modeling

Debugging and tracing

Collaborative decisions

Job description

Softadom is seeking a backend engineer to build reliable services under heavy load, including payments, entitlements, reporting, and SaaS integrations. The engineer partners with full-stack colleagues and external clients to define durable service contracts, thoughtful data models, and safe migration plans.

You will emphasize correctness, observability, and operational clarity, shipping migrations without downtime while surfacing actionable signals to operators.