Software Dev Engineer II, Profit Intelligence

Amazon is hiring a Software Dev Engineer II, Profit Intelligence in Chennai, United States. Level rates it ; you can apply on Amazon.

Level's read on this job

Builds AI ●●●● is how Level rates this role: the job is building AI systems.
The posting mentions AWS, Python and Distributed Systems among its tools and skills.
Level classes it as a senior role.
Amazon has 20,000+ other open roles on Level.

AI in this role

Design and build AI-powered data platforms and ML pipelines integrating large language models for large-scale profit intelligence systems.

AWSPythonDistributed SystemsLarge Language Models

software-engineeringmachine-learningdistributed-systemsdata-engineering

Are you interested in building intelligence systems from the ground up?

Are you interested in working with Applied Scientists, Big Data Engineers and Software Development Engineers to build large-scale data intelligence systems?

Are you interested to work in a team that positively impacts different key pillars of Amazon like Pricing, Promotions, Advertising, Auto inventory purchasing, Auto inventory removal, Inventory placement?

Are you interested in working for a team that builds cool systems yet has great work-life balance?

Profit intelligence systems measures, predicts true profit(/loss) for each item as a result of a specific shipment to an Amazon customer.

Prot Intelligence is all about providing intelligent ways for Amazon to understand profitability across retail business. What are the hidden factors driving the growth or profitability across millions of shipments each day?

Profit Intelligence provides these answers.

We compute the profitability of each and every shipment that gets shipped out of Amazon. Guess what, we predict the profitability of future possible shipments too. We are a team of agile, can-do engineers, who believe that not only are moon shots possible but that they can be done before lunch. All it takes is finding new ideas that challenge our preconceived notions of how things should be done. Process and procedure matter less than ideas and the practical work of getting stuff done. This is a place for exploring the new and taking risks.

We push the envelope in using cloud services in AWS as well as the latest in distributed systems, forecasting algorithms, and data mining.

We are looking for a Senior Software Development Engineer to design and build AI-powered data platforms that transform large-scale business data into actionable insights. You will work at the intersection of machine learning, distributed systems, and data engineering — owning end-to-end development of tools that help business leaders make faster, better decisions.
This is a high-impact role on a team where the software you ship directly shapes financial and operational strategy across Amazon.

Key job responsibilities
Key job responsibilities

Architect and build scalable platforms that ingest, process, and serve insights from petabyte-scale datasets
Integrate large language models and generative AI capabilities into internal analytics tools — enabling natural language querying, anomaly explanation, and automated reporting
Design ML pipelines for anomaly detection, forecasting, and trend analysis over structured and semi-structured business data
Partner with scientists, analysts, and PMs to translate ambiguous business problems into well-scoped technical solutions
Drive engineering excellence: define coding standards, lead design reviews, and set the bar for operational health (monitoring, oncall, runbooks)
Mentor junior engineers; raise the technical capability of the team through clear documentation and code review
Own your services in production — you build it, you run it
Build and operate our foundational data infrastructure comprising of the entire spectrum of AWS Services - Storage (Redshift Data Shares, s3 data lakes), Orchestration (Step Functions, Glue and Internal Java Based Orchestration Tools), Processing (Spark & Flink - KDA), Streaming services (AWS Kinesis) and real-time large scale event aggregation stores.
Making it fully configurable and self-service for non-engineers.
Build and evolve tools that empower Amazonians to access data and build reliable, scalable and configurable way to generate Unit Economics for all Amazon Businesses. This includes UIs and frameworks for configuring rules, simulating their application, approval workows for rule changes, APIs and caching layers for high-throughput serving of Unit Economics Historicals and Predictions.
Build systems that secure and govern our data end to end: control access across multiple storage and access layers (like inhouse Reporting Applications and BI tools), track data quality, catalogue datasets and their lineage, detect duplication, audit usage and ensure correct data semantics.
You will be responsible for designing and building platforms for crunching 100s of TB of in-coming data from dozens of sources and financial events around the company.

Basic qualifications

- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language

Preferred qualifications

- 3+ 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.

How we rate this

Software Dev Engineer II, Profit Intelligence at Amazon rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Software Dev Engineer II, Profit Intelligence is an open job at Amazon.
Level rates this role AI Level 4 of 4: Builds AI.
The role is based in IN, TN, Chennai.
The job was posted on August 21, 2026.
Seniority: senior.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Software EngineeringMachine learningDistributed SystemsData EngineeringAWSPythonLarge Language Models

Questions you could be asked

Tell me about a project where software engineering was part of your work. What did you do?
Tell me about a project where machine learning was part of your work. What did you do?
Tell me about a project where distributed systems was part of your work. What did you do?
Tell me about a project where data engineering was part of your work. What did you do?
Walk me through how you've used AWS in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Software Engineering, Machine learning, Distributed Systems, Data Engineering, and AWS. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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