Principal Engineer (R-20004)

Key Responsibilities • Work across the full stack, building highly scalable distributed solutions that enable positive user experiences and measurable business growth

• Partner with development and product teams to ensure product quality in a fast-paced Agile environment

• Partner with SRE team to deploy and manage data infrastructure on cloud platforms such as GCP or AWS

• Demonstrate strong customer focus and end-to-end ownership of critical applications, including leadership during customer-impacting incidents and driving post-incident improvements

• Provide technical direction for the team by being an expert in technology, system design and architecture

• Deliver POCs (Proof of Concept) to quickly identify direction and gaps in proposed architecture and feature development

• Work closely with different teams to understand and implement the requirements to design and support their workflows.

• Work on complex requirements, and issues which required in-depth analysis.

• Proactively improve quality through collaboration, automation, process improvement and innovative thinking

• Champion the adoption of AI-enabled engineering practices, accelerating software delivery, improving quality, and increasing developer productivity across teams.

• Mentor and develop engineers through technical leadership, design reviews, coaching, and knowledge sharing.

Key Requirements • Bachelor’s degree in Computer Science or related fields

• 12+ years of experience managing and deploying commercial software products

• Experience in building products across the full stack and a firm understanding of web frameworks, APIs, databases, and multiple back-end languages.

• Proven experience building large-scale, distributed systems

• Proven experience managing solutions on GCP or AWS utilizing a broad set of the services available

• Expert in the Continuous Integration and Continuous Delivery

• Experience in performance engineering and optimizations

• Experience with Cloud based architecture, cloud native solutions and infrastructure/management, developing and handling of distributed systems

• Demonstrated experience leveraging AI tools such as Copilot, Cursor, Gemini, or Claude to improve engineering productivity, software quality, automation, architecture design, troubleshooting, and delivery outcomes.

• Strong communication skills (both oral and written)

• Show an ownership mindset in everything you do. Be a problem solver, be curious and be inspired to take action. Be proactive, seek ways to collaborate and connect with people and teams in support of driving success.

• Demonstrated growth mindset with a commitment to continuous learning, mentoring, technical leadership, and professional development.

• Proven excellence with Java and/or Scala, Python, Spark/PySpark and scripting languages

• SDLC-tooling experience with Maven, Github, Jenkins, Terraform