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Work across the full stack, building highly scalable distributed solutions that enable positive user experiences and measurable business growth
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Partner with development and product teams to ensure product quality in a fast-paced Agile environment
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Partner with SRE team to deploy and manage data infrastructure on cloud platforms such as GCP or AWS
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Demonstrate strong customer focus and end-to-end ownership of critical applications, including leadership during customer-impacting incidents and driving post-incident improvements
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Provide technical direction for the team by being an expert in technology, system design and architecture
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Deliver POCs (Proof of Concept) to quickly identify direction and gaps in proposed architecture and feature development
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Work closely with different teams to understand and implement the requirements to design and support their workflows.
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Work on complex requirements, and issues which required in-depth analysis.
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Proactively improve quality through collaboration, automation, process improvement and innovative thinking
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Champion the adoption of AI-enabled engineering practices, accelerating software delivery, improving quality, and increasing developer productivity across teams.
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Mentor and develop engineers through technical leadership, design reviews, coaching, and knowledge sharing.
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Bachelor’s degree in Computer Science or related fields
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12+ years of experience managing and deploying commercial software products
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Experience in building products across the full stack and a firm understanding of web frameworks, APIs, databases, and multiple back-end languages.
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Proven experience building large-scale, distributed systems
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Proven experience managing solutions on GCP or AWS utilizing a broad set of the services available
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Expert in the Continuous Integration and Continuous Delivery
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Experience in performance engineering and optimizations
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Experience with Cloud based architecture, cloud native solutions and infrastructure/management, developing and handling of distributed systems
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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.
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Strong communication skills (both oral and written)
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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.
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Demonstrated growth mindset with a commitment to continuous learning, mentoring, technical leadership, and professional development.
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Proven excellence with Java and/or Scala, Python, Spark/PySpark and scripting languages
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SDLC-tooling experience with Maven, Github, Jenkins, Terraform
Dun & Bradstreet
Business Intelligence · Public · Jacksonville, USA