Platform Engineer

As a Platform Engineer at Fluence, your main responsibilities include developing and maintaining data integration processes, designing scalable data platforms, and collaborating with stakeholders to ensure data quality and governance. You'll also be automating platform management tasks and looking for continuous improvement opportunities to enhance our data systems.

To qualify for the Platform Engineer position at Fluence, you should have a bachelor's degree in Computer Science, Engineering, or a related field, along with proven experience in platform engineering or data engineering. Proficiency in Python and familiarity with cloud platforms, data governance, CI/CD pipelines, and containerization technologies are also essential.

Fluence is dedicated to continuous improvement and encourages Platform Engineers to stay current with industry trends and emerging technologies. You will have opportunities to participate in training, workshops, and knowledge-sharing sessions that foster professional growth and enhance your skills.

In the Platform Engineer role at Fluence, you will work with various technologies, including AWS, TimescaleDB, Docker, and big data tools like Hadoop and Spark. You'll also develop and implement automation scripts, CI/CD pipelines, and maintain data pipelines to optimize platform performance.

Fluence offers a supportive benefits package for Platform Engineers that includes unlimited PTO, dental, vision, life, and pet insurance, a generous 401K match, and an annual bonus incentive, emphasizing the company's commitment to employee well-being and work-life balance.

In answering this question, reflect on specific projects where you developed, tested, or maintained data integration processes. Highlight your role in ensuring data quality and integrity while collaborating with cross-functional teams to meet data requirements.

Be prepared to discuss your proficiency in programming languages like Python and provide examples of scripts or automation tools you developed to streamline processes or improve efficiencies in previous roles.

Use this opportunity to discuss your experience with cloud platforms like AWS, focusing on how you leveraged cloud services to design, deploy, and maintain data infrastructures and the impact this had on project outcomes.

Outline your understanding of data governance principles and share specific strategies you've implemented, such as managing metadata, ensuring data lineage, and version control, to maintain the quality and compliance of the data you work with.

Discuss the various ways you keep yourself informed, whether through online courses, conferences, industry publications, or networking with peers, ensuring you showcase your commitment to continuous learning in data engineering.

Think of a specific challenge related to platform or data system performance. Articulate the problem, the steps you took to troubleshoot it, and the successful outcomes that resulted from your efforts, showing your problem-solving skills.

Describe your hands-on experience with CI/CD pipelines and how you designed and implemented them to automate testing, deployment, and monitoring processes, emphasizing the benefits your initiatives brought to the team.

Focus on metrics and tools you use to monitor performance, such as system load, response times, and data processing speeds, as well as techniques for optimizing these metrics, which reflect your analytical skills and attention to detail.

Detail how you foster collaboration, such as regular communication, shared documentation, leveraging collaboration tools, and actively seeking input from team members to ensure that everyone's expertise is utilized effectively.

Share your passion for data engineering and how it fuels your desire to make a positive impact through data-driven solutions. Illustrate why you are excited about the challenges and opportunities in this field and specifically why Fluence aligns with your values.