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This is a fantastic opportunity for someone who is passionate about building scalable, resilient, distributed systems that collect, process, and analyze massive volumes of operational data. The technology stack includes Python, Airflow, K8S, Spark, Presto, Airflow, Postgres, and microservices within cloud native environments.

We are looking for a Principal Engineer who can drive our strategy for optimizing cost efficiency and improving utilization across all of the Salesforce services. You will not only provide visibility into opportunities to improve availability, but also work with multiple service owners to help and guide delivering on those optimizations.

Your Responsibilities:

Drive capacity visibility and automation improvements across multiple services at Salesforce
Lead software development being delivered by multiple engineers
Lead and participate in requirement gathering, design, and development of complex systems
Independently design and deliver analytics tools and frameworks for diverse users, including other engineers, data scientists, and domain experts
Mentor team members in all aspects of the software development lifecycle
Master our code base, then improve it
Build resilient, automated systems and assessing and integrating best-in-class technologies when appropriate

Required Skills:

Bachelors degree in Computer Science and 12+ years of experience, or equivalent industry experience
Deep knowledge of two or more functional or scripting programming languages: Java, Python, Scala, or equivalent
Extensive experience with distributed services (REST, rpc or similar) and relational databases (Postgres or similar)
Experience with orchestration and workflow management tools, i.e. Airflow
Experience with Agile development methodology, Test-Driven Development, incremental delivery, and CI/CD
Experience owning and operating services throughout the software development lifecycle including design, development, release and maintenance.
Experience communicating technical vision, mentoring junior engineers and managing projects.

Desired Skills/Experience:
Specialization in one of the following areas:

Experience in distributed SQL analytics (Spark/Presto) or frontend/visualization development (Tableau, JavaScript)
Understanding of Data Science/Machine Learning concepts, experience working with Data Scientists and operating ML models in production services
Experienced in infrastructure automation and cloud platforms: AWS, Azure, or GCP

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