Hybrid Staff Software Engineer, Ingestion & Search Platform

Thomson Reuters; Ann Arbor (MI); Hybrid; USD 120,000 - 160,000; Full time

Benefits offered by this job

Hybrid work model

Comprehensive benefits package

Paid vacation and sick time

Fitness reimbursement

Wellness programs

Job summary

A major technology firm seeks a Staff Software Engineer in Ann Arbor, MI, to lead the design and operation of ingestion and indexing systems for a powerful search platform. The role demands extensive experience in distributed stream processing, especially using Kafka and AWS, as well as proficiency in Python. A comprehensive benefits package, including a hybrid work model and health coverage, is offered. Applicants should have a strong background in machine learning and tech leadership to mentor the team effectively.

Qualifications

• 8+ years of experience in software engineering, with progression to staff level.
• Deep expertise in high-throughput, fault-tolerant pipelines.
• Production experience with search engines like Vespa or OpenSearch.

Responsibilities

• Own the end-to-end document ingestion pipeline and architechture.
• Lead migration projects, improving observability and accuracy.
• Mentor junior engineers, ensuring knowledge transfer across teams.

Skills

Distributed stream processing

Kafka

Python

AWS services

Observability

Machine learning operationalization

Education

Bachelor’s or Master’s degree in Computer Science or Engineering

Tools

Vespa

OpenSearch

Elasticsearch

Terraform

Job description

A major technology firm seeks a Staff Software Engineer in Ann Arbor, MI, to lead the design and operation of ingestion and indexing systems for a powerful search platform. The role demands extensive experience in distributed stream processing, especially using Kafka and AWS, as well as proficiency in Python. A comprehensive benefits package, including a hybrid work model and health coverage, is offered. Applicants should have a strong background in machine learning and tech leadership to mentor the team effectively.