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Top Remote Software Engineer Jobs in Indianapolis, IN

4,710+ Job Results
7 Days Ago
US
Remote
36 Employees
36 Employees
Not Specified
3D Printing • Software
Design and develop web-based 3D engineering software solutions, analyze problems and propose solutions, work with a team on innovative solutions
7 Days Ago
United States
Remote
116 Employees
116 Employees
Not Specified
Information Technology • Consulting
Function Health is seeking a Staff Software Engineer to lead the design and development of software solutions for accessing health data in real time. The role involves design and development leadership, cross-functional collaboration, strategic project management, and technical problem-solving.
7 Days Ago
United States
Remote
1,162 Employees
Senior level
1,162 Employees
Senior level
Healthtech • Biotech • Pharmaceutical
The Senior Manager, Quality Assurance - GxP (GCP) oversees GxP Quality Assurance functions, emphasizing Good Clinical Practice compliance. Responsibilities include conducting internal and external audits, leading inspection readiness activities, managing direct reports, and ensuring adherence to regulatory requirements and company SOPs.
7 Days Ago
United States
Remote
1,348 Employees
Senior level
1,348 Employees
Senior level
Marketing Tech • Software
As a Senior DevOps Engineer, you will design and maintain the product on the AWS platform, mentor team members, support bi-weekly sprints, manage on-call rotations, troubleshoot incidents, and advocate for DevOps practices to improve developer experiences.
7 Days Ago
United States
Remote
131 Employees
Mid level
131 Employees
Mid level
Artificial Intelligence • Cloud • Machine Learning • Software • Biotech • Pharmaceutical
The Solutions Architect at Lifebit will provide technical expertise in bioinformatics and cloud infrastructure, collaborating with various teams to support clients in genomics and precision medicine by delivering tailored solutions and presentations. This role involves technical customer support, developing sales strategies, and engaging with clients to ensure successful project outcomes.
7 Days Ago
2 Locations
Remote
85 Employees
130K-150K Annually
Junior
85 Employees
130K-150K Annually
Junior
Software
As a Data & Analytics Engineer at Rinsed, you will design data pipelines, transform point-of-sale data into insights, and create dashboards for customer use. You'll collaborate with teams to track decisions, automate internal processes, and communicate findings to stakeholders.
Top Benefits:
401-K
401-K Matching
Adoption Assistance
+48 More
7 Days Ago
USA
Remote
683 Employees
Senior level
683 Employees
Senior level
AdTech • eCommerce
The Senior QA Automation Engineer will design, develop, and maintain automated test scripts to ensure product quality. Responsibilities include test planning, documentation, integrating tests into the CI/CD pipeline, defect tracking, and improving automation processes.
7 Days Ago
United States
Remote
4,161 Employees
Senior level
4,161 Employees
Senior level
Marketing Tech
The Data Solution Architect will lead the design and implementation of Salesforce Data Cloud solutions, working closely with clients to define requirements and architect technical solutions. Responsibilities include leading design sessions, creating technical documentation, and collaborating with sales and client services teams to deliver successful projects.
7 Days Ago
United States
Remote
233 Employees
Entry level
233 Employees
Entry level
Big Data • Analytics
The Solution Consultant/Sales Engineer will collaborate with Sales, Product, and Client Engagement teams to deliver tailored product demonstrations and technical solutions to clients. They will bridge the gap between Strategic Workforce Planning offerings and client requirements by providing insights on finance, planning, and talent management, designing solutions, and supporting the implementation process.
7 Days Ago
United States
Remote
111 Employees
95K-110K Annually
Mid level
111 Employees
95K-110K Annually
Mid level
Software
As a QA Data Engineer, you will develop and maintain dashboards for data quality and accuracy, enhance data quality frameworks, manage internal SLAs, and partner with teams to predict data quality issues. You'll be responsible for data architecture implementation and problem-solving complex data integration challenges.
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