Product Software Engineering Architect

Describe what the person will do in the role - how he/she will impact the organisation. As a Full-Stack Product Software Engineering Architect, you will be a hands-on technical leader, setting the standard for engineering excellence as you drive the architecture, design, and delivery of resilient, large-scale, distributed platforms. You'll impact technical direction and architecture across the organisation, mentor fellow engineers, and ensure our systems are robust, secure, and future-ready.

Responsibilities:

• Deep expertise in full-stack engineering, microservices, and modern cloud architectures.
• A growth mindset, committed to mentoring, continuous learning, and thriving in fast-paced, dynamic environments.
• Exceptional communication skills to collaborate across product, design, business, and engineering teams, and to represent engineering in strategic discussions.
• Ability to define and drive adoption of technical and operational metrics, ensuring system health and managing risk.
• Strategic thinking with a pragmatic approach to technical challenges, balancing innovation with practical execution.
• Summarise job responsibilities, core deliverables and major duties.
• Focus on major areas of work, typically 20% or more of the role, for 20% or more of the time.
• Architect, design, implement, and support secure, highly scalable, distributed, and decoupled backend and frontend systems for programmatic advertising.
• Set technical direction and ensure alignment with best practices in code quality, maintainability, observability, and performance.
• Establish, champion, and evolve standards for system design, testing, monitoring, and deploying low-latency microservices.
• Act as a technical mentor, sharing knowledge, conducting code and design reviews, and helping engineers grow.
• Collaborate closely with cross-functional partners, translating business and product requirements into technical roadmaps and robust solutions.
• Foster a culture of continuous improvement, identifying optimisations and enhancements to systems and processes.
• Support platform reliability by enhancing observability, promoting automated alerting, and participating in on-call rotations as needed.
• Ensure compliance with Disney's best practices and security policies, including the use of AI and automation technologies.
• Serve as a domain authority and point of contact for technical stakeholders inside and outside engineering.

Requirements:

• Minimum and Preferred. Inclusive of Licenses/Certs (include functional experience as well as behavioural attributes and/or leadership capabilities)
• 10+ years of software engineering experience with a leadership track record.
• Advanced proficiency in Java and Typescript.
• Expertise in JavaScript libraries and frameworks, including React and Node.js .
• In-depth experience building and scaling RESTful APIs and microservice architectures (preferably with Spring Boot).
• Strong hands-on knowledge of relational databases (MySQL, Postgres, etc. ), including schema and query design, as well as NoSQL (e. g., DynamoDB) database technologies.
• Strong analytical and problem-solving skills with a track record of project ownership, technical leadership, and organisation-wide influence.
• Strong foundation in computer science principles, including data structures, algorithms, and system design.
• Excellent communication and collaboration skills, with the ability to engage both technical and non-technical audiences.
• Proven ability to influence engineering strategy and technical direction beyond the immediate team.
• Experience promoting best practices for security, code quality, and operational excellence in a large-scale, distributed environment.
• Experience in ad tech.
• Experience with programmatic advertising or real-time bidding platforms.

Experience with:

• Spring Boot and related Spring projects.
• Relational databases, such as MySQL or Postgres.
• Non-relational database technologies like DynamoDB.
• JavaScript libraries and frameworks such as React and Node.js .
• Caching datastores such as Redis, ValKey, or MemCache.
• Data Streaming Mechanisms such as Apache Kafka and/or AWS Kinesis.
• Cloud platforms such as AWS.
• Modern DevOps tools such as Terraform, Docker, and Kubernetes.
• BS/MS in Computer Science, Engineering, or equivalent experience.