Senior Software Engineer - Business Systems

We're looking for a Python engineer to join our Business Systems team, which builds and operates the integration layer connecting our core platforms (CRM, payments, and internal services) to the tools our customer-facing teams rely on every day. This is a high-traffic, latency-sensitive environment - our services handle hundreds of thousands of requests a day, and performance directly impacts the people using them in real time.

You'll own real production performance problems backed by real data - not hypothetical scaling concerns. Our team recently completed a deep, evidence-based incident investigation that traced a latency issue down to specific code-level causes and shipped fixes that measurably cut error rates and response times. If you like solving concrete, high-impact problems and can back your reasoning with data, you'll fit right in.

Design, build, and maintain Python services (REST APIs) that integrate our CRM platform with downstream systems like payments, account management, and internal data services

Diagnose and resolve performance issues in production - including blocking I/O, connection handling, caching strategy, and API latency under load

Use async Python (asyncio) to safely parallelize I/O-bound work without degrading service throughput

Implement and tune caching layers (e.g., Redis) for high-throughput endpoints

Build and maintain integrations with a CRM platform (e.g., Salesforce), including data queries and REST-based sync

Deploy and operate services in a cloud environment (AWS or similar): serverless functions, containerized services, and monitoring/alerting

Use observability/APM tooling to trace requests, identify bottlenecks, and validate fixes with real production data

Write clean, well-tested, maintainable code following solid architectural patterns (clear separation of API, business logic, and infrastructure layers)

Participate in a rotating on-call/production-support role: triage alerts, coordinate fixes across teams, and help prevent incidents from becoming outages

Collaborate closely with other engineering teams, DevOps/SRE, and product stakeholders to scope and ship integration work

Required:

Strong professional experience with Python, including async programming and building/maintaining REST APIs

Solid understanding of data integration between services - how to reliably move, sync, and reconcile data across systems (batch or event-driven), handle failures/retries, and keep data consistent when systems disagree

Solid understanding of HTTP and API design (pagination, timeouts, rate limiting, caching), and experience debugging performance issues in a live service

Experience with a key-value or caching data store (Redis experience a plus) and comfort reasoning about caching/invalidation tradeoffs

Experience with at least one major cloud provider (AWS preferred) - serverless functions, containerized services, or similar

Comfort reading logs and distributed traces to debug systems issues, not just local code

Strong written and verbal communication - this team documents root causes and coordinates fixes across other engineering teams

Experience with Twilio (Voice, Studio, Flex, or similar telephony/IVR platforms) - helpful, but we're happy to train a strong Python engineer on this

Experience integrating with Salesforce (SOQL, Apex, REST APIs)

Familiarity with an APM/observability platform (e.g., Dynatrace, Datadog, New Relic), including instrumenting services with distributed tracing (e.g., OpenTelemetry) or structured logging

Comfort writing SQL for debugging and data validation across systems (e.g., data warehouse queries, CRM query languages like SOQL)

Familiarity with API documentation tooling (OpenAPI/Swagger)

Experience with AWS Step Functions, container autoscaling, or infrastructure-as-code (Terraform)

Prior on-call/production-support experience in a fast-moving environment

Base salary range: $140,000-170,000 annually. Individual pay and level is based on factors unique to each candidate, including skill set, experience, and other job-related reasons.