Remote Principal Engineer - Full Stack (R-18273)

Description:

• The Principal Engineer will work across the full stack, building highly scalable distributed solutions that enable positive user experiences and measurable business growth.
• This role involves close collaboration with the DevOps team to deploy and manage data infrastructure on cloud platforms such as AWS or GCP.
• The engineer will provide technical direction for the team by being an expert in technology, system design, and architecture.
• Responsibilities include delivering POCs (Proof of Concept) to quickly identify direction and gaps in proposed architecture and feature development.
• The engineer will work closely with different teams to understand and implement the requirements to design and support their workflows.
• The role requires working on complex requirements and issues that necessitate in-depth analysis.

Requirements:

• A Bachelor’s degree in computer science or related fields is required.
• Candidates must have 12+ years of experience managing and deploying commercial software products.
• Experience in building products across the stack and a firm understanding of web frameworks, APIs, databases, and multiple back-end languages is essential.
• Proven experience in building large-scale, distributed systems is necessary.
• Candidates should have proven experience managing solutions on GCP or AWS utilizing a broad set of the services available.
• Proficiency in modern front-end frameworks such as React, Angular, or Vue.js is required.
• A deep technical understanding of Java or Go and the ability to work with both is necessary.
• Hands-on experience in SQL queries is recommended.
• The candidate must be able to build efficient and reusable code to ensure the performance of web applications.
• Expertise in the continuous integration and continuous delivery product space is required.
• Experience in performance engineering and optimizations is necessary.
• Candidates should have experience with cloud-based architecture, cloud-native solutions, and infrastructure/management, as well as developing and handling distributed systems.
• Experience in designing and implementing data pipelines using big data tools to ingest, process, and transform large volumes of data will be an added advantage.
• Strong communication skills (both oral and written) are essential.
• Proficiency in Microsoft Office suite skills is required.
• Candidates should demonstrate an ownership mindset, be problem solvers, curious, and inspired to take action.
• A continuous growth mindset is necessary, with a commitment to learning through social experiences and relationships with stakeholders, experts, colleagues, and mentors.

Benefits:

• Dun & Bradstreet offers a dynamic work environment that encourages creativity, innovation, and growth.
• Employees are part of a passionate global team dedicated to helping clients turn uncertainty into confidence and potential into prosperity.
• The company promotes a culture that values bold and diverse thinkers.
• Opportunities for continuous learning and professional development are provided through structural courses and programs.
• Employees are encouraged to collaborate and connect with people and teams to drive success.