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Creative Software Engineer Jobs in Seattle, WA (NOW HIRING)

Seattle, Washington, United States Software and Services The Apple Services Engineering (ASE) team ... We want your thoughts on how we can move faster, be more creative, and deliver tools and ideas to ...

Software Engineer III

Seattle, WA · On-site

$187K - $208K/yr

Software Engineer III (Full-Stack & Cloud Architecture) Role Overview We are seeking an experienced ... Tackle intricate technology and business challenges using creative, scalable engineering methods ...

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Creative Software Engineer information

See Seattle, WA salary details

$72.3K

$167.9K

$233.9K

How much do creative software engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for creative 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 a creative software engineer?

Creative Software Engineers are professionals who blend technical programming skills with creative problem-solving abilities to design and develop innovative software solutions. They often work on projects that require both technical expertise and artistic vision, such as digital media, interactive applications, games, or user experience design. Their role typically involves collaborating with designers, artists, and other developers to bring ideas to life using code and technology. Creative Software Engineers are valued for their ability to think outside the box and push the boundaries of what software can do.

How do creative software engineers typically collaborate with designers and other team members during a project?

Creative Software Engineers often work closely with designers, product managers, and other developers to bring innovative digital experiences to life. Collaboration usually involves participating in brainstorming sessions, translating design concepts into functional code, and providing technical feedback to ensure feasibility. Regular communication through stand-ups, design reviews, and prototyping helps align everyone’s vision and ensures a seamless workflow. This cross-disciplinary approach not only enhances project outcomes but also allows engineers to expand their skill set and gain insights from other fields.

What are the key skills and qualifications needed to thrive as a creative software engineer, and why are they important?

To thrive as a Creative Software Engineer, you need strong programming skills, a solid understanding of software development principles, and often a degree in computer science or a related field. Familiarity with tools like version control systems (e.g., Git), creative coding frameworks (e.g., Processing, OpenFrameworks), and design software (e.g., Adobe Creative Suite) is typically required. Outstanding creative thinking, collaboration, and problem-solving abilities help set top candidates apart. These skills are crucial for developing innovative solutions that merge technical expertise with artistic vision, driving impactful and engaging software projects.

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

AspectCreative Software EngineerSoftware Developer
CredentialsBachelor's in CS or related field; sometimes additional design or multimedia skillsBachelor's in CS or related field; coding certifications optional
Work EnvironmentDesign-focused teams, multimedia projects, interactive mediaGeneral coding projects, applications, backend or frontend development
Industry UsageMedia, entertainment, advertising, gamingTech, finance, healthcare, various industries
Search & Comparison IntentUnderstanding roles blending creativity and codingGeneral software development roles

The Creative Software Engineer combines programming skills with creative design, often working on multimedia, gaming, or interactive projects. In contrast, a Software Developer focuses on building applications or systems across various industries. While both roles require strong coding skills, Creative Software Engineers emphasize creativity and multimedia integration, making their roles distinct in the tech and entertainment sectors.

Infographic showing various Creative Software Engineer job openings in Seattle, WA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $167,886 per year, or $80.7 per hour.

Senior Lead Software Engineer - Agentic AI SRE Platform

JPMorgan Chase & Co.

Seattle, WA • On-site

$180 - $240/hr

Other

Re-posted 1 hour ago


JPMorgan Chase & Co. rating

7.9

Company rating: 7.9 out of 10

Based on 500 frontline employees who took The Breakroom Quiz

77th of 174 rated banks


Job description

Are you ready to shape the future of AI-driven reliability engineering? At JPMorganChase, we're building intelligent systems that don't just monitor — they reason, analyze, and act. This is your opportunity to lead at the forefront of agentic AI, designing autonomous systems that transform how we deliver resilient, scalable technology at enterprise scale.

As a Senior Lead Software Engineer at JPMorganChase within the AI/ML Data Platforms organization, you will lead the architecture and development of production-grade agentic AI and multi-agent systems on the Reliability Engineering team. You will design autonomous agents that integrate across telemetry pipelines, application stacks, and cloud infrastructure — driving engineering productivity, system reliability, and operational excellence. This role offers the chance to pioneer how intelligent automation reshapes platform reliability for one of the world's leading financial institutions.

Job responsibilities
  • Design and develop enterprise AI systems that enhance engineering productivity, system reliability, and operational excellence
  • Architect autonomous agents — not just integrating workflows, but AI systems that reason, analyze, and act across system and application reliability
  • Architect and govern agentic system components including orchestration, memory/state management, workflow control, and human-in-the-loop patterns where needed
  • Own the agentic architecture non-functional requirements posture end-to‑end: observability, security, guardrails, and evaluation
  • Provision and manage scalable AI infrastructure, deployment pipelines, and cost optimization
  • Execute creative software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down technical problems
  • Develop secure, high-quality production code, and review and debug code written by others
  • Identify opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
  • Lead evaluation sessions with external vendors, startups, and internal teams to drive outcomes‑oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
  • Contribute to a team culture of diversity, opportunity, inclusion, and respect
Required qualifications, capabilities, and skills
  • Formal training or certification on software engineering concepts and 5+ years applied experience
  • Advanced proficiency in programming with Python
  • Proficiency in all aspects of the Software Development Life Cycle and in automation and continuous delivery methods
  • Hands‑on experience delivering agentic AI to production (not just LLM wrappers or prompt‑to‑workflow integrations)
  • Experience with AI agent frameworks (e.g., LangGraph, CrewAI), runtimes, orchestration, evaluation/benchmarking systems, and model selection policies
  • Experience developing production generative AI applications at scale with experimentation, model quality measurement, retrieval‑augmented generation, and vector search
  • Strong cloud infrastructure experience (e.g., AWS) and infrastructure‑as‑code (e.g., Terraform)
  • Experience building distributed systems or high‑scale systems where reliability matters
Preferred qualifications, capabilities, and skills
  • Previous experience working within infrastructure, platform engineering, or reliability engineering domains
  • Knowledge of site reliability engineering concepts, including Service Level Objectives/Indicators, error budgets, incident management, resilience patterns, and observability
  • Previous experience as a machine learning software engineer in a dynamic technology company or startup.
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