The Walt Disney Company
Senior Software Engineer
The Walt Disney Company, Seattle, Washington, us, 98127
We are seeking an experienced Sr. Software Engineer who is passionate about leveraging product insights to uncover trends through innovative analysis, advanced machine learning & artificial intelligence models, and optimized engineering processes. In this role you will partner across the business to build innovative and advanced tooling to empower partner teams with insights into the performance and behavior of their services, applications, and products to ultimately enhance customer experience.Engineering Services designs, builds, and sustains technology that powers DE&E Technology's worldwide content production and distribution platforms. In doing so, they contribute to a series of cross-functional services and technologies, including Quality Assurance, Data Analytics, Software Development, Broadcast Infrastructure, and Networking & Security.Do you have a passion for observability and analytics and love working with software engineering teams? Then please continue reading!Responsibilities
Design, develop, and maintain production level models to monitor critical datasets and engineering services in streaming and batch; informing end user customer experience and insights into the health of our applications, products and offerings
Build and experiment new model frameworks, machine learning approaches and artificial intelligence best practices from research through production rollout including continuous optimization and orchestration
Create and deploy scalable API endpoints to provide predictive scores and explainability feedback to other applications, engineering processes and team
Serve as a technical leader on the team, providing mentorship and technical best practices to more junior members.
Understand engineering infrastructure and business processes that power critical systems, applications and streaming infrastructure
Collaborate cross-functionally with various teams and verticals, to identify opportunities, business requirements and a path to technical implementation
Discover opportunities for innovation and improvements across the entire engineering space
Basic Qualifications
5+ years of experience
Python, Spark, or Pyspark is required
High familiarity with data platforms and applications such as Databricks, Jupyter, Snowflake, Redshift, Airflow
Applied experience of frameworks like PyTorch, Keras, Tensorflow, etc
Experience operating in an SDLC environment and deploying production engineering models and code
Exceptional interpersonal and written communication skills, able to concisely synthesize complex technical information
Strong analytical and technical skills to troubleshoot issues, perform rapid iteration and quickly come-up with the possible solutions, effectively communicating these to technical and executive audiences across the organization
Experience with Agile methodologies and using tools such as Jira to track and perform ceremonies
Bachelors degree in computer science or relevant filed.
Preferred Qualifications
Experience leading best practices and technical implementations at production scale for a software engineering team.
Familiarity with data platforms and infrastructure such as MySQL, Datadog, Conviva
Knowledge of API design and microservices architecture
Experience in the streaming industry, knowledge of client and server side architecture is a plus
The hiring range for this position in New York City and Seattle, Washington is $142,600 - $191,100 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.#J-18808-Ljbffr
Design, develop, and maintain production level models to monitor critical datasets and engineering services in streaming and batch; informing end user customer experience and insights into the health of our applications, products and offerings
Build and experiment new model frameworks, machine learning approaches and artificial intelligence best practices from research through production rollout including continuous optimization and orchestration
Create and deploy scalable API endpoints to provide predictive scores and explainability feedback to other applications, engineering processes and team
Serve as a technical leader on the team, providing mentorship and technical best practices to more junior members.
Understand engineering infrastructure and business processes that power critical systems, applications and streaming infrastructure
Collaborate cross-functionally with various teams and verticals, to identify opportunities, business requirements and a path to technical implementation
Discover opportunities for innovation and improvements across the entire engineering space
Basic Qualifications
5+ years of experience
Python, Spark, or Pyspark is required
High familiarity with data platforms and applications such as Databricks, Jupyter, Snowflake, Redshift, Airflow
Applied experience of frameworks like PyTorch, Keras, Tensorflow, etc
Experience operating in an SDLC environment and deploying production engineering models and code
Exceptional interpersonal and written communication skills, able to concisely synthesize complex technical information
Strong analytical and technical skills to troubleshoot issues, perform rapid iteration and quickly come-up with the possible solutions, effectively communicating these to technical and executive audiences across the organization
Experience with Agile methodologies and using tools such as Jira to track and perform ceremonies
Bachelors degree in computer science or relevant filed.
Preferred Qualifications
Experience leading best practices and technical implementations at production scale for a software engineering team.
Familiarity with data platforms and infrastructure such as MySQL, Datadog, Conviva
Knowledge of API design and microservices architecture
Experience in the streaming industry, knowledge of client and server side architecture is a plus
The hiring range for this position in New York City and Seattle, Washington is $142,600 - $191,100 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.#J-18808-Ljbffr