Software Engineer II Selection Monitoring, Selection Monitoring

Benefits

Parental leave

6 weeks From the posting source checked Jun 20, 2026

Non-birth-parent leave

6 weeks From the posting source checked Jun 20, 2026

Family-building benefits

• Fertility benefits: Offered From the posting source checked Jun 20, 2026
• Adoption assistance: Offered From the posting source checked Jun 20, 2026
• Surrogacy assistance: Not verified

Mental health support

Offered From the posting source checked Jun 20, 2026

Relocation assistance

Not verified

Childcare support

Offered From the posting source checked Jun 20, 2026

Learning budget

Not verified

Verification

Source-linked checked Jun 7, 2026

Salary

Not verified

401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

Not verified

Company

Company stage

Public-company From the posting source checked Jun 20, 2026

Equity

Offered Verified - SEC 10-K source checked Jun 20, 2026

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Software Engineer II Selection Monitoring, Selection Monitoring Bengaluru, Karnataka, IND Amazon's Selection Monitoring team is responsible for building and operating large-scale data processing systems that power catalog intelligence across Amazon. Our systems process billions of products from multiple data sources-both real-time crawler feeds and pre-computed datasets-to create comprehensive, high-quality product information that drives business decisions across Amazon. We apply parallel processing, machine learning, and deep learning algorithms to evaluate and enrich product data at global scale. The datasets and insights produced by our team enable teams across Amazon to make data-backed decisions that improve customer experience. Our work involves building state-of-the-art data processing pipelines and Information Retrieval (IR) systems that handle diverse data streams and automatically create structured entities from unstructured/semi-structured data. We constantly stretch the boundaries of large-scale distributed systems, streaming and batch processing technologies, Elastic Computing, Big Data, Artificial Intelligence, and service-oriented architectures to tackle challenges at Amazon's global scale. Come join us in our journey to build the data infrastructure that powers Amazon's catalog intelligence! We are looking for SDEs with strong technical knowledge, established background in engineering large-scale software systems, and passion for solving challenging problems. The role demands a high-performing and flexible candidate who can take responsibility for system success and drive solutions from design to coding, testing, and deployment, to achieve results in a fast-paced environment. The SDE on this team will play a key role in solving complex problems and building innovative solutions that process and integrate data from multiple sources at scale.

Read the full description at www.amazon.jobs. FewerJobs shows a preview and links to the original posting.