Integration Engineer, Python

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Logo of Symplicity

Symplicity

51 - 200 employees

Founded 1996

📚 Education

🎯 Recruiter

☁️ SaaS

Education • Recruitment • SaaS

Symplicity is a global leader in student engagement and higher education solutions. The company partners with universities worldwide to enhance student success, career readiness, employability, disability services, and student wellbeing. Symplicity provides platforms that improve student engagement, streamline workflows, and help universities manage conduct cases effectively. Their solutions include CareerHub, Symplicity Advocate, and UniHub, which support students by providing tools and connections to prepare for the job market. They enable universities to connect students with the right resources, ensuring they build in-demand skills and find career-launching opportunities.

📋 Description

• Build and maintain integrations between Symplicity products and third-party systems, using Python and REST APIs. • Produce code using AI-assisted development tools—this is how our team works, and you’ll be expected to use these tools well: prompting effectively, reviewing what they generate, and standing behind the result. • Read, transform, and validate JSON payloads, and design clean data flows between systems. • Map a client’s process end-to-end, identify how the pieces connect, and turn that understanding into a working integration. • Work directly with university clients across multiple regions—growing into running those technical conversations within three to six months. • Operate what you build—monitor your integrations in production, troubleshoot issues, and keep them running reliably. • Document your work clearly so clients, colleagues, and your future self can follow the design. • Collaborate with Professional Services, product, and engineering teams to deliver solutions that hold up in the real world. • Follow Agile methodologies and write clean, efficient, maintainable code.

🎯 Requirements

• Strong, confident English from day one—able to explain technical ideas clearly to both engineers and non-technical clients. • Genuine willingness and ability to pick up new tools and domains quickly, and to grow into a client-facing role. • The aptitude to learn new technologies fast and apply them well—you don’t need to know our whole stack, but you pick things up quickly and solidly. • Systems thinking. The ability to look at a process end-to-end, reason about how data and systems connect, and articulate that clearly to others. • Working proficiency in Python. • A solid grasp of integration concepts—REST APIs, authentication flows, and reading and transforming JSON. • Strong troubleshooting and debugging instincts. • Familiarity with Unix/Linux command-line tools and Git or other version control systems.

🏖️ Benefits

• English development program led by a dedicated full-time instructor

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