Job Summary:
At Disney Streaming Services you'll have the opportunity to create highly scalable and reliable services that power Disney+. You'll get to understand the challenges of facilitating a high-quality, flawless media streaming experience across mobile, connected devices, and web, all while using the latest technologies available from AWS and beyond. You'll be tasked with raising the bar by innovating and adopting new patterns and technologies to keep your teams on the bleeding edge of development. At Disney Streaming Services we feel strongly that teams should own their own processes, decide their own technologies, and design solutions for the long term. If you're interested in working in a highly collaborative team environment like this, please get in touch - we'd love to hear from you!
Disney Streaming Services has already achieved a number of key landmarks for our partners including launching Eurosport Player, ESPN+ and of course the highly successful Disney+ service. We are looking for an experienced Senior Software Engineer to join us.
The Services & Data Engineering Team is hiring in NYC, San Francisco, Manchester, London and Amsterdam. As a member of the team you will have the opportunity to work on the platform that powers our streaming products.
The Developer Platform Engineering team is responsible for ensuring services operate reliably at a high scale, while optimizing other attributes such as infrastructure and operations costs in near real-time using public cloud and open source technologies.
If you are interested in joining Disney Streaming Services in the pursuit of not only crafting new media products but enjoying the products you build, we are interested in hearing from you.
Responsibilities :
Responsibilities:

• Work within a cross functional team of engineers building software in a collaborative & agile development environment
• Collaborate with engineering teams, data teams, and data scientists to design and build solutions
• Participate in the full lifecycle of software development (requirements gathering, designing, building, testing, maintenance, and support)
• Participate in development of all components of the project, including development of backend services, tools, infrastructure, automation, machine learning infrastructure, database, and data solutions
• Be part of the development for some of the highest scale distributed systems in the world, solving challenging and varied engineering problems
• Drive and maintain a culture of quality, innovation and experimentation
• Work with other teams, evangelize the solution, best-practices, data driven decisions, identify new use cases and features and drive adoption
• Drive and maintain a culture of quality, innovation and experimentation
• Coach engineers best practices and technical concepts of building large scale distributed systems

Basic Qualifications :
Basic Qualifications:

• 3+ years of software engineering experience
• Knowledge and experience with distributed systems, their development, operations, observability, scalability, and elasticity
• Experience with devOps, building automation and reliability in large scale systems, immutable infrastructure, containerization, including tools such as Jenkins, GitHub Actions, AWS CodeDeploy, Docker, AWS EC2, ECS, EKS, languages like Python, Go
• Experience deploying and running AWS-based solutions and familiarity with tools such as Cloud Formation, IAM, Cloudwatch, EC2, Kinesis, etc.
• Automated testing at different levels (unit, integration, functional, performance, etc.)
• Cross-functional approach to software development, devOps experience
• You're a self-learner, independent, and have excellent problem-solving skills.
• You care deeply about craftsmanship in your software, and can work backwards from the customer experience.
• You have excellent written and verbal communication skills.

Preferred Qualifications:
Preferred Qualifications:

• Experience or interest in learning Scala, Java, JVM, functional programming
• Experience deploying and running AWS-based solutions and familiarity with tools such as DynamoDB, Elasticache, Lambda, Kinesis, S3, Firehose, EMR etc.
• Knowledge of the data, streaming data, and machine learning ecosystems

Required Education :
Required Education

• Bachelor's degree in Computer Science or related field or equivalent work