Senior Automation & Integration Developer

About AlayaCare At AlayaCare, we’re more than just a fast-growing SaaS company, we’re a team of people passionate about transforming home healthcare. Our cloud-based platform empowers care providers around the world to deliver better outcomes for their clients. With 550+ employees across Canada, the US, Australia, and Brazil, we’re united by a shared mission and a strong culture of transparency, growth, and human connection.

Whether you're early in your career or a seasoned expert, AlayaCare offers the opportunity to grow your impact, your skills, and your career.

About The Role

We’re looking for a Senior Automation and Integration Developer to join our Customer Success organization and play a key role in how our customers integrate with and unlock value from AlayaCare. Reporting to the Director, Data Engineering & Automation, the Senior Automation and Integration Developer is a hands-on technical role responsible for building complex customer integrations and data solutions. This role will work across Python services, AWS infrastructure, data pipelines and SQL exports — while also engaging directly with customers to scope and troubleshoot solutions.

You will be building patterns and reusable components as part of these integrations.

What You’Ll Do

In this role, you will: Design, build, and maintain Python-based services, orchestration, and internal tooling that power customer integrations and data workflows. Develop reusable patterns and components for customer integrations, including elements that power and integrate with visual workflow builders. Integrate customer data using Python and/or visual workflow builders, and deliver ad-hoc and recurring data exports using scalable patterns in SQL and Python.

Design, build, and optimize ETL/ELT pipelines, and manage supporting AWS infrastructure (Lambda, API Gateway) and Postgres from initial buildout through ongoing maintenance. Debug and troubleshoot issues across development, UAT, and production environments, investigating anomalies from database changes, automation triggers, and upstream integrations. Validate and test data exports for accuracy, completeness, and alignment with customer expectations, and help establish automated testing for data pipelines.

Create and maintain technical documentation, export specifications, and sample outputs to support both internal teams and customers.

Requirements

, troubleshoot issues, translate business and accounting needs into technical solutions, and clearly explain constraints and options. Review code, reinforce patterns and standards across the team, and act as a reliable technical point of contact for cross-functional partners. Support and coach team members when they are blocked, contributing to a culture of quality, knowledge sharing, and continuous improvement.

What You Bring to the Team 4–6 years of experience in software development, data engineering, or a similar technical role. Bachelor’s degree in Computer Science, Software Engineering, Information Systems, Data Engineering, or equivalent experience. Strong Python skills (intermediate or above), with experience writing production-grade code.

Strong SQL skills, including complex queries, optimization, and data modeling. Familiarity with data and software design patterns and principles (for example, DRY, star schema). Conceptual familiarity with orchestration tools such as Airflow, Prefect, Dagster, or similar technologies.

Self-directed and comfortable taking ambiguous problems from definition through to resolution. Strong analytical and debugging skills, with the ability to trace where data went wrong across complex systems. Excellent communication skills, with the ability to translate between technical and non-technical stakeholders and participate confidently in customer-facing technical discussions.

Nice To Have

: Experience with AWS (Lambda, API Gateway, etc). Experience with infrastructure as code (Terraform).