Full Stack Engineer developing AI systems for a proactive chat app. Building features across frontend, backend, and AI integrations for reliable workflows.
About the role
- Lead Software Engineer responsible for designing and implementing software solutions for Disney's media platforms. Collaborating with teams to advance technological foundations for global media businesses.
Responsibilities
- Holistic understanding of the team’s domain and serving as a point of contact for stakeholders
- Leading by example, supporting their peers, and striving to improve code and design towards more scalable, clean, and decoupled implementations
- Facilitate discussions and drive resolution, making sure outcomes are clear and well-communicated
- Designing, implementing, and testing solutions to various engineering problems in a high-throughput, low-latency microservices environment
- Understanding and use of automated tools (AI) while adhering to company policy
- Reading and understanding product user stories, translating them into actionable tasks, and leading the team through their execution
- Improve system observability by implementing comprehensive metrics, monitoring, and alerting solutions.
- Available for On-Call rotations based on the team’s escalation policy and support schedule
Requirements
- BS or MS in Computer Science / Engineering or relevant work experience
- 7+ years of software engineering experience
- Strong foundation in computer science principles, including data structures and algorithms
- Advanced proficiency with Java, including but not limited to understanding memory management, multi-threading, profiling, thread pools, connection pools, and HTTP protocols
- Demonstrable analytical / problem-solving skills
- Great communication, collaboration skills, and a strong teamwork ethic with both technical and non-technical audiences
- Experience with:
- • SpringBoot and related Spring projects
- • Non-relational database technologies like DynamoDB
- • Caching datastores such as Redis, ValKey, or MemCache
- • Data Streaming Mechanisms such as Apache Kafka and/or Kinesis
- • Cloud platforms such as AWS
- • Modern DevOps tools such as Terraform, Docker, and Kubernetes
- • Microservice architecture
Benefits
- A bonus and/or long-term incentive units may be provided as part of the compensation package
- Full range of medical, financial, and/or other benefits
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