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Software Engineer Software Engineer Jobs in Seattle, WA

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 ...

Software Engineer

Tacoma, WA · On-site

$125K - $140K/yr

Software Engineer At AST, we enhance the efficiency, productivity, and safety of flexibleaseptic manufacturing processesfor the worldwide Life Science Industry by offering innovative products ...

Software Engineer

Redmond, WA · On-site

$133K - $219K/yr

Overview This is an exciting time to join our group Commercial Engineering & AI (CEAI) as a Software Engineer and work on something highly strategic to Microsoft. The goal of the Commercial ...

Software Engineer

Tacoma, WA · On-site

$125K - $140K/yr

Software Engineer At AST, we enhance the efficiency, productivity, and safety of flexible aseptic manufacturing processes for the worldwide Life Science Industry by offering innovative products ...

Starcloud is building a network of data centers in space, and they are seeking a Software Engineer to design, develop, and deploy software systems for these innovative data centers. The role involves ...

Software Engineer Location : Redmond, WA Duration: Full Time : C/C++/C# programming - ability to write/modify DLLs, test tools. Ability to write test cases, updates and generate test scripts. USB ...

Peregrine Team is seeking a Software Engineer to develop and maintain scalable applications. The role involves writing and maintaining code, collaborating with cross-functional teams, and ensuring ...

Software Engineer

Seattle, WA · On-site

$111K - $162K/yr

What you'll do We are looking for a Software Engineer with a blend of back and front-end experience to join our Strategic Partner Integration team. In this role you will own the full development ...

What You'll Own and Deliver (Responsibilities) As a core member of our software engineering team, you will design, build, and scale the services that power Xealth's EHR integrations and clinical ...

What You'll Own and Deliver (Responsibilities) As a core member of our software engineering team, you will design, build, and scale the services that power Xealth's EHR integrations and clinical ...

Ground Software Engineer

Seattle, WA · On-site

$123K - $150K/yr

The Role As a Software Engineer on our Ground Software team, you are responsible for creating the software that is used to build, test, and fly our satellites and customer payloads. You will build ...

As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes ...

Software Engineer - C++

Seattle, WA · Remote

$200 - $300/hr

As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes ...

Who We Hire For developers, we're not looking for someone to just "code it up". As an EnergySavvy team member, you'll work collaboratively on challenging software design and implementation problems ...

Software Engineer - Rust

Seattle, WA · Remote

$200 - $300/hr

As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes ...

Senior Software Engineer

Redmond, WA · On-site

$137K - $180K/yr

Description Senior Software Engineer Who We Are Kymeta revolutionizes satellite communications through Intelligent Communications Platforms (ICPs). Our electronically steered flat panel antennas ...

Who We Hire For developers, we're not looking for someone to just "code it up". As an EnergySavvy team member, you'll work collaboratively on challenging software design and implementation problems ...

Showing results 21-40

Software Engineer Software Engineer information

See Seattle, WA salary details

$72.3K

$167.9K

$233.9K

How much do software engineer software engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for software engineer software engineer in Seattle, WA is $167,886.00, according to ZipRecruiter salary data. Most workers in this role earn between $136,600.00 and $196,900.00 per year, depending on experience, location, and employer.

What is the difference between Software Engineer Software Engineer vs Web Developer?

AspectSoftware EngineerWeb Developer
Required CredentialsBachelor's in CS or related field, certifications like Microsoft, AWSBachelor's in CS, Web Development, or related field; certifications vary
Work EnvironmentSoftware development teams, offices, remote optionsWeb development teams, agencies, freelance work
Industry UsageTech, finance, healthcare, many sectorsDigital agencies, startups, e-commerce
Common Search/ComparisonOften compared for coding skills and project scopeCompared for front-end/back-end focus and design skills

Software Engineers and Web Developers both create software solutions, but Software Engineers typically work on a broader range of applications across various industries, focusing on system architecture and backend development. Web Developers specialize in building websites and web applications, often with a focus on front-end design or back-end functionality. Both roles require coding skills and collaboration, but their work environments and project types differ.

What cities near Seattle, WA are hiring for Software Engineer Software Engineer jobs?

Cities near Seattle, WA with the most Software Engineer Software Engineer job openings:

Software Engineer

Relativity

Seattle, WA • On-site

Other

Medical, Retirement

Re-posted 15 days ago


Key responsibilities

  • Build and operate backend services that support Relativity's generative AI platform, aiR.

  • Design, develop, and maintain scalable, secure, and high-performance systems for AI workloads.

  • Collaborate with the team to ensure reliable and efficient routing and management of AI traffic across multiple regions and cloud providers.


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