Sr. Software Engineer _ Data Platform Team (m/f/d)

As a Senior Software Engineer at Fluence, your main responsibilities will include developing and maintaining backend systems for data cataloging and discovery, collaborating with software teams to implement efficient data models, optimizing performance for large-scale data processing, and partnering with data science teams to build refined data pipelines. You'll also be engaged in ensuring system reliability through automated testing and deployment processes.

To qualify for the Senior Software Engineer position at Fluence, candidates should possess a Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Additionally, applicants are expected to have over 5 years of backend software engineering experience, especially in data-intensive environments. Proficiency in backend programming languages like Python, Go, or C++ and hands-on experience with database systems such as PostgreSQL and TimescaleDB are essential.

A Senior Software Engineer at Fluence should have expertise in backend programming languages like Python, Go, C++, or Rust. Familiarity with database systems such as PostgreSQL, TimescaleDB, and data lake architectures is crucial. Additionally, knowledge of automation tools and frameworks like Jenkins, TestRail, and deployment automation tools like Terraform or Ansible is an added advantage.

The Senior Software Engineer plays a vital role in maintaining data quality at Fluence by partnering with data science teams to develop and refine data pipelines. This includes integrating diverse datasets and implementing governance standards to ensure data reliability and accuracy, ultimately enhancing the overall functionality of Fluence's data platform.

At Fluence, a Senior Software Engineer has significant career growth opportunities. The engineering environment nurtures innovation and collaboration, allowing you to work alongside talented professionals in the energy sector. Opportunities may arise in leading projects, advanced technical roles, or even transitioning into managerial positions as you gain experience within the organization.

When answering this question, share specific projects where you utilized Python or Go, discussing how you approached challenges and your problem-solving process. Highlight any frameworks or libraries you used, and explain the impact your contributions had on the system or project outcomes.

To answer this, discuss your experience with automated testing and deployment processes. Mention specific tools you use, like CI/CD pipelines, and how load testing plays a role in validating system performance. Explain your strategy for monitoring system performance post-deployment.

In your response, describe any experiences you've had building or optimizing data pipelines. Include the technologies you used, the types of datasets you integrated, and how you ensured data quality through governance standards and monitoring.

Share a specific example of a complex technical challenge you've encountered in a previous role. Explain the context, your approach to solving it, the tools used, and the outcome. This will demonstrate your problem-solving skills and resilience.

Discuss your communication style and how you leverage regular updates, collaborative tools, and meetings to ensure everyone stays on the same page. Share examples of successful projects where cross-team collaboration was critical.

Provide a detailed example of a time when you identified performance bottlenecks in a backend system. Describe how you approached the optimization process, the metrics you tracked, and the improvements you achieved in performance.

Mention specific testing frameworks and tools you have used, such as Jenkins and TestRail. Explain why you favor them based on your experiences, such as ease of integration into CI/CD practices and what benefits they bring to your projects.

Discuss resources you utilize, such as online courses, webinars, industry conferences, or newsletters, to keep your skills sharp. Share how you apply new knowledge actively to your work, showing your commitment to continuous improvement.

When responding, explain the architectural patterns you've applied, such as microservices or event-driven architecture. Discuss the reasoning behind choosing each pattern and how it benefited the project in terms of scalability and maintainability.

This is your chance to show your enthusiasm for Fluence's mission. Discuss how your values align with theirs, particularly in the context of the energy industry and sustainability. Mention specific aspects of the job posting that resonate with you and how you envision contributing to their goals.