Would you like to build highly available, scalable and distributed engineering systems for one of the largest data lakes in Amazon? Does Petabyte scale excite you? Spektr is Amazon Ads' exabyte-scale central data lake: the unified catalog for petabytes of campaign, ad-serving, billing, and measurement data. Hundreds of teams and Amazon's advertiser-facing AI agents depend on it for discovery, ingestion, transformation, and querying at scale. If you want large-scale engineering with tangible business impact, this is the team. We're rebuilding Spektr ground-up with an AI-first architecture, and building fully-automated domain agents that let customers manage their big data lifecycle in a single click. In parallel, we're adopting Apache Iceberg / S3 Tables with serverless compute, scaling horizontally via a data mesh pattern for 5× growth in volume and demand. If you thrive on greenfield experimentation and shipping things that matter to the business, keep reading. As a Sr SDE on this team, you will own the core platform services that power Amazon Ads data infrastructure, consolidating legacy systems into clean, API-first services that cut job creation time from weeks to less than a day. You will build MCP-enabled AI interfaces that let AI agents create and run data pipelines on Spektr at 99%+ success rate, directly shaping how GenAI discovers and consumes data across Amazon Ads. You will design and operate high-scale Java services on AWS-native infrastructure (Spark, EMR Serverless, Kinesis, Step Functions), processing petabytes of data daily at 99.9% availability. You will also drive deployment automation, replacing manual release cycles with CI/CD pipelines that accelerate delivery velocity for a platform serving Tier-1 advertising data systems. Responsibilities Engage with key decision makers such as Product & Program Managers to understand customer requirements and brainstorm on solutions - Design, code and deploy components and micro-services for the core job management pipeline - Ensure testability, maintanability and low operational footprint for your code - Participate in operational responsibilities with your team - Innovate on AWS technology to improve latency, reduce cost and operations A day in the life - Focus on core engineering opportunities to guarantee system availability that matches our data growth - Work with a skilled team of engineers, managers and decision makers to consistently meet customer demand - Automate monitoring of data availability, quality and usability via simplified metrics and drive innovations to improve guarantees for our customers About the team The mission of the Ads Datalake team is to provide data that helps the advertising organization make informed analyses and decisions for our customers and to determine and deploy investments for future growth via a set of central and unified products and services. Our team focuses on simplicity, usability, speed, compliance, cost efficiency and enabling high-velocity decision making so our customers can generate high quality insights faster. We are a global team with presence across India and North America. - 5+ years of non-internship professional software development experience - 5+ years of programming with at least one software programming language experience - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience as a mentor, tech lead or leading an engineering team - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
