PaceMate is a remote cardiac device monitoring company focused on improving healthcare through technology. They are seeking an Associate Application Engineer to support the development of internal applications and automation systems, contributing to the innovation of AI-enabled workflows and scalable data products.
Responsibilities:
- Support the development, enhancement, and maintenance of internal applications and automation systems
- Assist with application reliability, performance improvements, and ongoing support activities
- Develop APIs, integrations, workflows, and backend services that support business operations
- Troubleshoot and resolve bugs, system failures, and performance bottlenecks
- Contribute to improving application maintainability and operational efficiency over time
- Participate in feature development, testing, and modernization initiatives
- Develop and optimize data models, queries, and integrations across platforms including MySQL, PostgreSQL, Salesforce, and internal systems
- Build scalable automation and data-processing solutions
- Ensure integrity, consistency, and reliability of operational and analytical data flows
- Support AI-enabled workflows and automation pipelines
- Implement monitoring, validation, and observability practices across systems
- Leverage AI-assisted development tools and agentic workflows to accelerate delivery and reduce manual effort
- Identify opportunities to automate operational processes and improve system efficiency
- Partner with leadership and cross-functional teams to prototype and deliver innovative solutions
- Evaluate emerging technologies and recommend scalable implementations
- Learn and contribute to scalable engineering and automation best practices
Requirements:
- 1–3 years of experience in software development, automation, data, IT, or similar technical roles
- Equivalent internship, project, bootcamp, or hands-on experience will also be considered
- Experience supporting applications, scripts, integrations, or automation projects preferred
- Experience in healthcare technology, operational systems, or data-intensive environments is a plus
- You enjoy learning how systems and applications work and finding ways to improve them
- You naturally look for opportunities to improve, automate, and scale processes
- You are dependable, proactive, and willing to learn through hands-on experience
- Strong debugging and troubleshooting skills across applications, data, and integrations
- Comfortable learning and working across applications, APIs, databases, and automation workflows
- Ability to troubleshoot issues and work through technical problems with guidance and collaboration
- Experience using AI tools such as Claude CLI, Cursor, ChatGPT, GitHub Copilot, or similar
- Comfortable incorporating AI into development workflows, debugging, automation, and documentation
- Understanding of prompt engineering and agentic development concepts
- Curiosity and willingness to continuously adopt emerging tools and technologies
- Foundational proficiency in Python, PHP, or similar programming languages
- Familiarity with SQL and relational databases such as MySQL or PostgreSQL
- Experience building projects, scripts, applications, or automation solutions through work, school, or personal projects
- Familiarity with JavaScript and modern web application concepts
- Interest in learning scalable development practices and maintainable coding standards
- Strong understanding of data structures, relationships, and operational workflows
- Experience working across interconnected systems and integrations
- Interest in understanding how systems, data, and automation work together
- AWS, Azure, or GCP
- Databricks or Snowflake
- Docker or containerized applications
- CI/CD pipelines
- Healthcare interoperability standards (HL7, FHIR)
- AI workflow orchestration tools
- Frontend frameworks and modern UI development