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Self Financial is a venture-backed, high-growth FinTech company with a mission to increase economic inclusion and financial resilience by empowering people to build credit and build savings. We're looking for people who share our passion and are driven to tackle challenges, find solutions and make the financial space better for the communities we serve. Our team is passionate about challenging the status quo of the credit industry by providing people accessible tools to take control of their credit. Executing on our mission requires deep collaboration across our teams to ensure our products reach the people who can benefit from them the most, particularly the 100 million+ Americans who have no or low credit. We celebrate diversity and are committed to creating an inclusive environment for all employees. To that end, we seek to recruit, develop and retain the most talented people from a diverse candidate pool. About the Role 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. Why Join Us 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. What You'll Do 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 What We're Looking For 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 Nice to Have: 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. Benefits and Perks: We have the compensation and benefits you expect. But there's one thing that Self Financial can offer that many companies cannot: we can positively change the world, while making a profit. We are a team of Builders, empowering our customers to build their dreams. We have a Do the Right Thing ethos in all that we do, and we hope you value that approach, too. Our perks include: Company equity in the form of Stock Options Performance-based bonuses Generous employer-paid health, vision and dental insurance coverage Flexible vacation policy Educational assistance Free gym membership Casual dress code Team building events and activities Remote work arrangements/ flexible work schedule Paid parental leave Self Financial requires all employees hired to successfully pass a background check. We are an Equal Opportunity Employer. At this time, we are only able to consider applicants who are U.S. Citizens or Green Card Holders for employment opportunities. We appreciate your understanding.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.