Product Software Engineer II (1024)

We are looking for product development engineers to drive the technical evolution of advertising systems in Bengaluru. These roles offer deep architectural ownership, global visibility, and the opportunity to influence mission-critical systems that serve millions of users worldwide. This is a hands-on technical role for engineers who thrive on solving complex challenges in distributed systems and shaping long-term architecture. You will stay close to design and implementation, contributing high-quality code while guiding architectural decisions across teams. You'll influence engineering direction through strong technical judgement, mentor other engineers through design reviews and technical coaching, and lead complex initiatives that scale AI-enabled products and shared capabilities. You will play a key role in modernising cloud-native systems, advancing AI orchestration and reliability practices, and ensuring AI workloads are scalable, observable, and production-ready. You'll also champion responsible and effective use of artificial intelligence to improve system quality, operational resilience, and developer productivity.

As a Product Development Engineer II, you will design and build backend systems that power Disney's global advertising platforms. This is a hands-on distributed systems role where you will develop high-scale backend services, improve system performance and reliability, contribute to architectural decisions across services, and build platforms used across multiple Disney products. You will work closely with engineers across the US and India to design systems that support large-scale traffic, strict reliability requirements, and evolving product needs. Strong candidates enjoy solving problems in distributed service architecture, high-throughput data pipelines, fault tolerance, resiliency, and system observability.

Responsibilities:

Design and implement scalable backend services powering Disney's advertising platforms.

Actively participate in daily stand-ups and other Scrum ceremonies.

Collaborate with team members to design new solutions and drive alignment across partner teams.

Participate in the breakdown and estimation of tasks.

Communicate with team members on progress.

Write code to implement new features or optimise existing services.

Ensure code quality through testing, CI/CD pipelines, and code reviews.

Participate in on-call rotation and production support.

Follow industrial best practices for service operations regarding CI/CD, monitoring, and investigation of incidents.

Perform code reviews for members of the team.

Requirements:

Strong collaboration and communication skills across teams and systems.

Ownership mindset for services and projects delivered by the team.

Curiosity and willingness to learn in a fast-paced environment.

Ability to define and monitor technical and operational metrics.

Attention to opportunities for system optimisation and improvement.

Positive and pragmatic approach to problem-solving.

Basic Qualifications:

Bachelor's degree in computer science, engineering, or a related field, or equivalent practical experience.

2+ years of professional software engineering experience building scalable distributed systems.

Demonstrated analytical/problem-solving skills in Python.

Strong hands-on proficiency in one of the coding languages - Java or Python.

Experience with relational databases such as MySQL or Postgres.

Experience designing API-driven architectures and integrating model-serving or external services across cloud environments.

Strong engineering fundamentals, including testing, CI/CD, and maintainable code practices.

Great communication, collaboration skills, and a strong teamwork ethic with both technical and non-technical audiences.

Preferred Qualifications:

Experience building or operating large-scale distributed systems.

Experience with Spring Boot or similar backend frameworks.

Experience with streaming or event-driven systems (Kafka, Kinesis, etc. )

Familiarity with containerised infrastructure (Docker, Kubernetes).

Experience with infrastructure-as-code tools such as Terraform.

Exposure to high-throughput or low-latency systems.