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Remote Google Software Engineer Jobs in Missouri

Relativity

Software Engineer

Kansas City, MO · On-site +1

Posting Type Hybrid/Remote Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... This role reports to the Manager of Software Engineering and provides the opportunity to work on ...

BAI

Advanced Software Engineer

Saint Louis, MO · On-site +1

$85K - $115K/yr

Advanced Software Engineer Chicago, IL Reports To: Director, Product Development & Operations BAI ... off, hybrid and remote working models, tuition assistance and the ability to work in a ...

Maritz

Software Engineer

Fenton, MO · Remote

We're looking for a collaborative and solutions-oriented Software Engineer to support the design ... This team primarily operates in a remote environment, with occasional in-office presence as needed.

Walmart

(USA) Software Engineer III

Anderson, MO · Remote

$90K - $180K/yr

Position Summary As a Software Engineer III you will be playing a pivotal role in designing ... Experience with cloud platforms (e.g., Azure, Google Cloud) and containerization technologies (e.g ...

Walmart

(USA) Software Engineer III

Cassville, MO · Remote

$90K - $180K/yr

Position Summary As a Software Engineer III you will be playing a pivotal role in designing ... Experience with cloud platforms (e.g., Azure, Google Cloud) and containerization technologies (e.g ...

Walmart

(USA) Software Engineer III

Noel, MO · Remote

$90K - $180K/yr

Position Summary As a Software Engineer III you will be playing a pivotal role in designing ... Experience with cloud platforms (e.g., Azure, Google Cloud) and containerization technologies (e.g ...

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Remote Google Software Engineer information

What are the key skills and qualifications needed to thrive as a Remote Google Software Engineer, and why are they important?

To thrive as a Remote Google Software Engineer, you need strong programming skills (typically in languages like Python, Java, or C++), a solid grasp of computer science fundamentals, and a relevant degree or equivalent experience. Familiarity with version control systems like Git, cloud platforms such as Google Cloud, and internal tools or APIs is highly beneficial, as is experience with distributed systems. Excellent communication, self-motivation, and collaboration skills are crucial for remote teamwork and problem-solving. These abilities enable engineers to deliver high-quality, scalable solutions efficiently while remaining aligned and productive in a distributed work environment.

How does a Remote Google Software Engineer stay connected and collaborate effectively with their team?

As a Remote Google Software Engineer, maintaining strong communication is key to successful collaboration. Engineers use a variety of tools such as Google Meet, Chat, and shared documents to coordinate with teammates across different time zones. Regular stand-up meetings, code reviews, and pair programming sessions help ensure alignment and foster teamwork. Google also encourages participation in virtual team-building activities and provides resources to help remote employees feel integrated and supported.

What are Remote Google Software Engineers?

Remote Google Software Engineers are software development professionals employed by Google who work from locations outside of traditional Google office spaces. They use technology to collaborate with colleagues, design and implement software solutions, and contribute to Google's products and services. Remote engineers typically participate in virtual meetings, code reviews, and agile development processes using cloud-based tools. This role allows for flexibility in work location while maintaining high standards of productivity and collaboration.

What is the difference between Remote Google Software Engineer vs Remote Amazon Software Engineer?

AspectRemote Google Software EngineerRemote Amazon Software Engineer
Required CredentialsBachelor's/Master's in CS or related field, strong coding skillsBachelor's/Master's in CS or related field, strong coding skills
Work EnvironmentCollaborative, innovative, often flexible hours, remote-friendlyFast-paced, customer-centric, remote or hybrid options
Employer & Industry UsageGoogle, tech, internet servicesAmazon, e-commerce, cloud computing
Common Search & ComparisonYesYes

Both Remote Google Software Engineers and Remote Amazon Software Engineers require similar technical credentials and work in remote, tech-driven environments. While Google emphasizes innovation and research, Amazon focuses on customer satisfaction and operational efficiency. Candidates often compare these roles to find the best fit based on industry, company culture, and career goals.

What are the most commonly searched types of Google Software Engineer jobs in Missouri? The most popular types of Google Software Engineer jobs in Missouri are:
What are popular job titles related to Remote Google Software Engineer jobs in Missouri? For Remote Google Software Engineer jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Remote Google Software Engineer jobs in Missouri look for? The top searched job categories for Remote Google Software Engineer jobs in Missouri are:
What cities in Missouri are hiring for Remote Google Software Engineer jobs? Cities in Missouri with the most Remote Google Software Engineer job openings:
Remote Google Software Engineer jobs near you
Software Engineer

Software Engineer

Relativity

Kansas City, MO • On-site, Remote

Other

Medical, Retirement

Posted 8 days ago

Job description

Posting Type

Hybrid/Remote

Job Overview

WHO WE ARE
Relativity is a leading legal data intelligence company building technology that helps users organize data, discover the truth, and act on it with confidence. Our AI-powered, cloud platform, RelativityOne, transforms massive volumes of complex information into actionable insights for litigation, investigations, regulatory inquiries, data breach responses, and other high-stakes legal work where accuracy and trust are crucial.
The world's largest law firms, corporations, and government agencies rely on Relativity's legal AI software to securely surface and manage the most relevant and impactful information in their matters. Beyond our commercial impact, we're deeply committed to expanding access to technology for academic institutions through Relativity Academic and supporting pro bono legal work through Justice for Change.
WHAT WE DO
At Relativity, engineers don't just write code. They build the systems that power AI-driven workflows at massive scale, enabling customers to uncover insights and act on complex data with confidence.
aiR Services Team
The aiR Services team builds the shared backend platform that powers Relativity's generative AI products. These systems enable secure and scalable access to foundation models across the aiR Suite while handling challenges such as limited model capacity, global data privacy requirements, and fair usage across products and customers. The team works on high-throughput, distributed systems that route AI traffic across regions and providers, protect downstream services from reliability risks, and optimize cost and performance at scale.
If you're excited about building platforms that power an entire product suite, working with generative AI systems in production, and solving distributed systems challenges at global scale, this is a high-impact team to join.

Job Description and Requirements

ABOUT THE ROLE

As a Software Engineer, you will build and operate backend services that power Relativity's generative AI platform, aiR. You will work at the intersection of distributed systems, cloud infrastructure, and applied AI, helping to deliver reliable, scalable systems that sit on the critical path of AI-powered workflows.

This role reports to the Manager of Software Engineering and provides the opportunity to work on multi-region, multi-cloud systems that handle large-scale AI traffic and complex orchestration challenges.

WHAT YOU'LL DO

  • Design and build performant, scalable, and secure backend services with a strong focus on quality, not just meeting requirements
  • Collaborate with a software development team to deliver high-quality, reliable systems that operate at massive scale
  • Develop and maintain systems that support high-throughput AI workloads, including asynchronous job orchestration and distributed processing
  • Write comprehensive unit and integration tests supported by static analysis and thoughtful test strategy development
  • Contribute to improving engineering processes by recommending enhancements to tools, workflows, and practices
  • Participate in pair programming to improve software quality and share design and implementation knowledge
  • Contribute to building systems that route and manage AI traffic efficiently while maintaining reliability and fairness across workloads

WHAT WE'RE LOOKING FOR

Required

  • Bachelor's degree in Computer Science or a related field, or equivalent practical experience
  • Experience building backend services using languages such as C#, Python, or similar
  • Understanding of software engineering disciplines and the ability to work across multiple layers of the application stack
  • Strong foundational knowledge of distributed systems, scalability, and backend service design

Preferred

  • Understanding of DevOps principles and experience with tools such as GitHub Actions
  • Experience working with large language model (LLM) APIs or generative AI systems
  • Experience designing and building scalable systems in Azure or other cloud platforms
  • Experience with Kubernetes, serverless technologies, and cloud-native architectures
  • Familiarity with domain-driven design and event-driven architecture
  • Experience with AI-driven development practices or AI-assisted coding tools
  • Awareness of emerging technology trends and their practical application in engineering

WHY WE COULD BE A GREAT FIT

Impactful AI Platform

  • Build foundational systems that power Relativity's generative AI capabilities and enable products across the aiR Suite.

Distributed Systems at Scale

  • Work on high-throughput, multi-region services that handle large volumes of AI traffic reliably and efficiently.

Cutting-Edge Technology

  • Gain hands-on experience with generative AI systems, cloud-native infrastructure, and modern distributed architectures.

Growth Opportunity

  • Develop deep expertise in backend systems, cloud platforms, and AI-driven services while working on highly visible, impactful projects.

Collaborative Culture

  • Work with a team that values strong engineering fundamentals, shared ownership, and continuous learning.

Compensation and Benefits

  • Competitive salary, health and retirement programs, wellness resources, discretionary time off (DTO), parental leave for primary and secondary caregivers, company-wide breaks, home office stipend, and an equity program.

Relativity is committed to competitive, fair, and equitable compensation practices.

This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives.

The expected salary range for this role is between following values:

$79,000 and $119,000

The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position.

Required Skills:

Automation, Documentations, Engineering Design, Problem Solving, Process Improvements, Project Management, Quality Assurance (QA), Research and Development, System Integration, Troubleshooting

Apply