AC - Sr Full Stack Engineer

As a Senior Full Stack Engineer at Empirical, you will spearhead web automation projects, including building scalable automation frameworks for scraping doctor data and processing over 600 medical applications. You’ll also deploy and maintain automation tools on Azure, work directly with the Fractional CTO, and create innovative automation solutions that enhance business workflows.

To qualify for the Senior Full Stack Engineer position at Empirical, candidates must have strong full-stack development capabilities with extensive experience using Selenium for business automation, not just test automation. Additionally, proficiency in deploying scalable automation frameworks, a solid understanding of web technologies, and the ability to work independently with minimal supervision are crucial.

Yes, Azure experience is preferred for the Senior Full Stack Engineer role at Empirical. The candidate will focus on deploying and maintaining automation tools on Azure. While experience with other platforms like AWS is appreciated, familiarity with Azure can significantly benefit your application.

While must-have skills for the Senior Full Stack Engineer role include full-stack capabilities and Selenium experience, additional skills can enhance your profile significantly. Familiarity with healthcare industry standards, experience with languages like Ruby, Python, or JavaScript, and knowledge of tools such as Capybara and Puppeteer are all desirable traits.

At Empirical, expect a remote and flexible work environment where innovation thrives in a multicultural community. We prioritize a people-first approach, offering competitive compensation in USD, professional development opportunities, and a culture that values integrity and fun.

When answering this question, elaborate on specific projects where you utilized Selenium for business automation. Discuss the challenges you faced, how you overcame them, and the outcomes. Show how your experience aligns with Empirical's focus on scaling automation.

To answer effectively, mention key strategies such as designing scalable frameworks, implementing robust error handling, and optimizing for performance. Use examples from past work to illustrate how you achieved efficiency and reliability in your automation tasks.

Highlight your autonomy and problem-solving capabilities. Share past experiences where you took full ownership of projects, adapted to challenges without guidance, and successfully delivered results. This aligns well with Empirical's expectations for the role.

Discuss your commitment to continuous learning through online courses, tech forums, and attending webinars or meetups. Mention any specific resources you follow to keep your skills current, especially in technologies relevant to this role.

When discussing a web scraping project, provide details on the problem you aimed to solve, the techniques and tools used, and the impact of your work. Showcase your technical skills and your ability to translate complex requirements into successful automation solutions.

Share specific challenges such as dealing with dynamic websites, anti-scraping mechanisms, or data accuracy issues. Explain your problem-solving process and techniques you implemented to address and resolve these challenges while maintaining effectiveness.

Address your familiarity with deploying and maintaining automation tools in Azure. Talk about specific services you've used, such as Azure Functions or Azure DevOps, and discuss how these tools enhanced your ability to manage automation projects seamlessly.

Emphasize the importance of clear communication, regular updates, and collaborative tools. Share examples of how you successfully worked with cross-functional teams in a remote capacity, highlighting any tools or frameworks that enable better collaboration.

Discuss your approach to task prioritization, such as using agile methodologies or specific project management tools. Share how you maintain focus on critical deliverables and ensure smooth progress across all automation projects.

Provide insights into how you've used various programming languages to manipulate data and automate document generation. Discuss any frameworks or tools that were particularly beneficial, and detail how this experience relates to the demands of the role at Empirical.