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The ideal candidate has a deep understanding of building large scale applications, low latency API’s, data pipelines, and a high focus on capability oriented architecture. As the lead engineer you will supervise aspects of the software lifecycle : design, development, testing and experimentation.
What You will accomplish:
Lead a talented full-stack team of backend, and frontend engineers
Mentor and guide the development of your team members in a tailored empathetic manner suited for each individual
Build collaborative and inclusive teams
Own your teams deliverables and ship high quality, maintainable software
Build and maintain a healthy prioritized backlog in alignment with the team goals
Collaborate with product managers, business units, analytics to brainstorm and build the next generation of our product and scale it.
Layout technical vision for the team
Push the bar to solve complex technical challenges of scale and performance
Maintain a balance between short term and long term goals while shipping high impact products quickly
Partner effectively and influence peers and senior leadership both within the organization and across eBay
Drive the adoption of cloud services, recommending the best AWS tools and services for each application's requirements
Ensure security best practices are coordinated into our development and deployment processes
Stay ascertain of new AWS services, Python development, and architectural standard methodologies
AWS features and technologies, integrating them into our solutions to improve performance and scalability
Lead by example, giving high-quality code reviews, and encouraging a culture of excellence and continuous improvement
What You will bring:
Bachelor’s degree and 12+ years experience (or) a MS in Computer Science and 10+ years of software design experience
3+ years of experience managing a small to medium-sized team of developers
Experience leading or managing a small to medium-sized team of developers
Experience in building large scale distributed systems with high availability, scalability and resilience
Experience applying machine learning in a user facing environment like personalization, ranking, or recommendations is a plus
Proven results-oriented person with a focus on delivery in a high-velocity environment
Great communication skills. Needs to articulate thoughts and proposals clearly
Experienced working in Agile teams
Ability to grasp new areas; and adapt to changes
Familiarity with eCommerce is a plus
Must have expertise in Python with a deep knowledge of its ecosystems and frameworks. Knowledge in Java is a plus
Strong experience with AWS services such as EC2, S3, Cognito, EKS, Open Search, DynamoDB, Lambda, Kinesis, and CloudFormation
Proficient in microservices, event driven architecture and container orchestration tools (e.g., Kubernetes, Docker)
Design & Implemented CI/CD pipelines using AWS native services(CodePipeline, CodeBuild, CodeDeploy, CodeCommit)
Knowledge of networking, security, and database design
Developed and drove adoption of technical patterns that significantly improved engineering practices across the organization
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