As a Software Engineer on the Business Systems team within Platform Engineering, you'll build the systems that make our mission run: managing certifications and credentialing, handling enrollment and orders, keeping learners informed, and holding the record of everything they've earned. You'll spend most of your time writing backend services and APIs, connecting certification workflows to commerce, communications, and the third-party platforms we depend on, including payment processors, learning management systems, and credentialing vendors.
Location:LATAM 100% Remote. Working hours are based on the US Pacific Time Zone. Minimum 6-hour overlap
About the Company:
Abstra is a fast-growing, Nearshore Tech Talent services company, providing top Latin American tech talent to U.S. companies and beyond. Founded by U.S.-bred engineers with over 15 years of experience, Abstra specializes in sourcing skilled professionals across a wide range of technologies to meet our clients’ needs, driving innovation and efficiency.
Key Responsibilities
Software Delivery: Design, build, and maintain well-tested backend services and APIs that support certification, commerce, and learner-communication workflows.
Collaboration: Work closely with stakeholders to identify, understand, and document project requirements. Collaborate effectively with your teammates, give and receive constructive feedback, and stay aligned with team goals.
Team Standards: Work within existing team standards to keep solution delivery and process consistent, and help improve those standards as you learn what works.
Test-Driven Development: Use test-driven development to turn stakeholder needs into
high-quality, maintainable solutions.
Personal Growth: Bring genuine curiosity to your work. Apply what you learn, and share it with the team so everyone gets better together.
AI Innovation: Help drive the adoption of emerging AI paradigms, including agentic development and LDD.
Required Qualifications:
Proficiency in modern AI development practices, specifically architecting and leveraging AI agents, Large Language Models (LLMs), and LDD principles
3+ years of experience designing, building, and maintaining production software services,
ideally in a cloud-native environment
Proficiency in at least one programming language (Go and Python are used)
Proficient with test-driven development
Proficiency with Git, including cherry picking, squashing, and rebasing
Proficiency with building and maintaining CI/CD pipelines (GitHub Actions is used)
Experience designing, writing, and working with APIs, including integrating with third-party services such as payment processors, learning management systems, and credentialing platforms
Working familiarity with cloud platforms (AWS is used) and monitoring and observability tools, enough to support and troubleshoot the services you build
What We Offer:
Competitive compensation paid in USD.
20 days of paid time off (PTO) per year.
Opportunities for professional growth and career development.
Company-provided equipment.
A collaborative, inclusive, and multicultural work environment.
The opportunity to contribute to meaningful projects alongside a talented and supportive team.
Pre-Employment Verification As part of our standard onboarding process, candidates who successfully complete the interview process and accept an employment offer will be required to complete an employment verification check, and background check. This process will confirm job titles and dates of employment with two previous employers and is a standard requirement for all new employees joining the company.
Abstra is a fast-growing nearshore tech talent services company that sources and provides skilled Latin American software engineers to U.S. companies and beyond. Founded by U.S.-bred engineers with over 15 years of experience, the company specializes in sourcing professionals across a wide range of technologies to meet client needs. Abstra focuses on driving innovation and efficiency by connecting top Latin American tech talent with international organizations seeking development expertise.
