System Development Engineer - Automation and AI Solutions

Amazon India Limited; Bengaluru; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

Amazon India Limited in Bengaluru is hiring a System Development Engineer I, Support Products & Services to build high-performance automation solutions that scale globally, including AI-driven agentic workflows. You will leverage AWS cloud services and generative AI to reduce manual toil, improve internal customer experience, and drive innovation across Ads' operations.

The role involves collaborating with business teams, engineers, and data scientists to deliver reliable automation and measure

Qualifications

• Experience automating, deploying and supporting infrastructure.
• 5+ years of automation contributions for new and existing system experience.
• Experience automating and simplifying development, test, and operations processes.
• Proficiency in Python, Java, or C/C++ languages.
• Experience with agile development methodologies (Scrum).
• Bachelor's degree or above in computer science, computer engineering, or related field.
• Knowledge of distributed, multi-tiered systems, algorithms, and relational databases.
• Proficiency in Python scripting language.

Responsibilities

• Interact with business customers to understand and prioritize automation requirements.
• Design, code, test, and deploy automation solutions including AI agent workflows.
• Build and maintain agent orchestration layers for planning and memory management.
• Collaborate with developers, scientists, and partners to troubleshoot issues.
• Define metrics to measure hours saved, error rates, and SLA adherence.
• Participate in on-call rotations to support production automation.

Skills

Automation experience

Distributed systems knowledge

Agile / Scrum

Relational databases

Python scripting

Java

C/C++

On-call rotations

Education

Bachelor's degree in computer science or related field

Tools

Python

Java

C/C++

Job description

System Development Engineer I, Support Products & Services

Are you interested in building high-performance, globally scalable automation solutions — including AI-driven agentic workflows — that support Amazon Ads' current and future growth?

Are you seeking an environment where you can drive innovation by leveraging the scalability and breadth of Amazon's AWS cloud services and cutting-edge generative AI capabilities?

Do you have a passion for eliminating manual toil, enabling intelligent decision-making, and ensuring a seamless internal customer experience? This is the job for you.

Key job responsibilities

Interact with business customers and Ads operations teams to understand, document, and prioritize their business processes and automation requirements. Perform gap analysis to determine the optimal automation approach — rule-based RPA, scripted automation, API integration, agentic AI, or a hybrid — for each use case. Design, code, test, and deploy automation solutions (including AI agent workflows) following Amazon's engineering and responsible AI standards. Build and maintain agent orchestration layers that manage agent planning, tool selection, memory/context management, and human-in-the-loop escalation. Work with business customers, developers, applied scientists, and partner teams to troubleshoot, document, and resolve system issues. Define and track key metrics (hours saved, error rates, SLA adherence, agent accuracy, human escalation rates) to measure automation impact and continuously improve. Participate in on-call rotations to support production automation and agent workflows as needed.

Basic Qualifications

• Experience in automating, deploying, and supporting infrastructure
• 5+ years of contributing to automation for new and current system experience
• Experience with automating and simplifying team development, test, and operations processes
• Experience programming or scripting language like Python, Java, C or C++
• Experience with iterative, agile development methodologies (including scrum)
• Bachelor's degree or above in computer science, computer engineering, or related field
• Knowledge of distributed, multi-tiered systems, algorithms, and relational databases
• Knowledge of and proficiency in the use of Python scripting language

Preferred Qualifications

• Experience with CI/CD pipelines build processes

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