Staff Engineer Jobs in Washington
Staff Engineer jobs in Washington are among the most active in the country, concentrated in software systems, cloud infrastructure, and aerospace engineering, with demand at every level from early-career engineers through principal-level staff. Seattle, Bellevue, and Redmond anchor most of the hiring, where established employers like Microsoft, Amazon, and Boeing maintain large engineering organizations and open roles across distributed systems, hardware, and platform engineering. Specialties in machine learning infrastructure, site reliability, and embedded systems see the most consistent demand. Find a role that fits below and apply directly.
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Showing 5 of 329+ Staff Engineer jobs
We exist to wow our customers. We know we're doing the right thing when we hear our customers say, "How did we ever live without Coupang?" Born out of an obsession to make shopping, eating, and living easier than ever, we're collectively disrupting the multi-billion-dollar e-commerce industry from the ground up. We are one of the fastest-growing e-commerce companies that established an unparalleled reputation for being a dominant and reliable force in South Korean commerce.
We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurs surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day.
Our mission to build the future of commerce is real. We push the boundaries of what's possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world.
Role Overview
The Digital Trust Group at Coupang is the division responsible for safeguarding the company's global e-commerce platform through robust cybersecurity, data privacy engineering, and corporate IT security infrastructure. The group focuses on designing and implementing enterprise-wide security architectures—such as zero-trust access models, data loss prevention (DLP), and cloud security controls—while automating security processes to proactively mitigate risk across customer, merchant, and internal employee workflows.
What You Will Do
Build AI-Powered Investigation Systems
Develop AI workflows that automate investigation and analysis tasks.
Build agent-based systems that interact with internal tools, data sources, and knowledge repositories.
Improve reasoning quality, reliability, and performance of AI-driven workflows.
Implement human-in-the-loop review and feedback mechanisms.
Build Detection and Risk Analytics
Design and implement detection logic for suspicious or high-risk activity.
Develop risk signals, behavioral analytics, and anomaly detection capabilities.
Create systems that combine multiple telemetry sources into actionable intelligence.
Improve quality and coverage of existing detection capabilities.
Develop Data and Signal Pipelines
Build scalable batch and streaming pipelines for AI and analytics workloads.
Develop feature engineering workflows used by AI models and detection systems.
Create data products that support investigation, automation, and risk assessment.
Improve data quality, observability, and operational reliability.
Build Production AI Services
Design and implement APIs, backend services, and distributed systems that support AI applications.
Develop frameworks that make AI workflows easier to deploy, evaluate, and operate.
Monitor production systems and troubleshoot reliability or quality issues.
Participate in architecture discussions and contribute to technical design reviews.
Basic Qualifications
Bachelor's degree in computer science, electrical engineering, mathematics, statistics or closely related fields
4 years of professional experience in applied machine learning
Experience in machine learning, deep learning, and statistical modeling
Proficiency in Python and/or Java, with experience in building production grade ML systems
Preferred Qualifications
Experience working with machine learning, AI, data-intensive systems, or analytics platforms.
Strong understanding of distributed systems and cloud-native architectures.
Experience designing APIs and scalable services.
Ability to independently drive projects from requirements through production deployment.
Experience with LLMs, RAG systems, or AI agents.
Experience building fraud, trust and safety, identity, security, or risk systems.
Experience with feature engineering and large-scale data processing.
Familiarity with detection engineering, SIEM, SOAR, or security analytics platforms.
Experience deploying AI systems into production environments.
Knowledge of authentication, account security, or behavioral analytics
Pay & Benefits
Our compensation reflects the cost of living across several US geographic markets. At Coupang, your base pay is one part of your total compensation.
The base pay for this position ranges from $152,000/year to $261,000/year. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills and experience.
General Description of All Benefits
- Annual bonus is 0-20% of the base salary
- Medical/Dental/Vision/Life, AD&D insurance
- Flexible Spending Accounts (FSA) & Health Savings Account (HAS)
- Long-term/Short-term Disability
- Employee Assistance Program (EAP) program
- 401K Plan with Company Match
- 18-21 days of Paid Time Off (PTO) a year based on the tenure
- 12 Paid Holidays
- Paid Parental leave
- Pre-tax commuter benefits
- MTV- [Free] Electric Car Charging Station
General Description of Other Compensation
"Other Compensation" includes, but is not limited to, bonuses, equity, or other forms of compensation that would be offered to the hired applicant in addition to their established salary or wage scale.
Recruitment Process and Others
Recruitment Process
- Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer
- The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances.
- Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage.
Details to Consider
- This job posting may be closed prior to the stated end date for application if all openings are filled.
- Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process.
- Coupang does not discriminate against disabled applicants or those with veteran status. We are proud to offer equal opportunities for all applicants.
Privacy Notice
- Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below: https://www.coupang.jobs/privacy-policy/
Coupang is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, or gender (including pregnancy, gender identity, gender expression, sexual orientation, transgender status), national origin, age, disability, medical condition, HIV/AIDS or Hepatitis C status, marital status, military or veteran status, use of a trained dog guide or service animal, political activities, or affiliations, citizenship, or any other characteristic or class protected by the laws or regulations in the locations where we operate. If you need assistance and/or reasonable accommodation in the recruiting process due to a disability, please contact us at usrecruiting@coupang.com.
Job Requisition ID : R0081404
We exist to wow our customers. We know we're doing the right thing when we hear our customers say, "How did we ever live without Coupang?" Born out of an obsession to make shopping, eating, and living easier than ever, we're collectively disrupting the multi-billion-dollar e-commerce industry from the ground up. We are one of the fastest-growing e-commerce companies that established an unparalleled reputation for being a dominant and reliable force in South Korean commerce.
We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurs surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day.
Our mission to build the future of commerce is real. We push the boundaries of what's possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world.
Role Overview
The Digital Trust Group at Coupang is the division responsible for safeguarding the company's global e-commerce platform through robust cybersecurity, data privacy engineering, and corporate IT security infrastructure. The group focuses on designing and implementing enterprise-wide security architectures—such as zero-trust access models, data loss prevention (DLP), and cloud security controls—while automating security processes to proactively mitigate risk across customer, merchant, and internal employee workflows.
What You Will Do
Build AI-Powered Investigation Systems
Develop AI workflows that automate investigation and analysis tasks.
Build agent-based systems that interact with internal tools, data sources, and knowledge repositories.
Improve reasoning quality, reliability, and performance of AI-driven workflows.
Implement human-in-the-loop review and feedback mechanisms.
Build Detection and Risk Analytics
Design and implement detection logic for suspicious or high-risk activity.
Develop risk signals, behavioral analytics, and anomaly detection capabilities.
Create systems that combine multiple telemetry sources into actionable intelligence.
Improve quality and coverage of existing detection capabilities.
Develop Data and Signal Pipelines
Build scalable batch and streaming pipelines for AI and analytics workloads.
Develop feature engineering workflows used by AI models and detection systems.
Create data products that support investigation, automation, and risk assessment.
Improve data quality, observability, and operational reliability.
Build Production AI Services
Design and implement APIs, backend services, and distributed systems that support AI applications.
Develop frameworks that make AI workflows easier to deploy, evaluate, and operate.
Monitor production systems and troubleshoot reliability or quality issues.
Participate in architecture discussions and contribute to technical design reviews.
Basic Qualifications
Bachelor's degree in computer science, electrical engineering, mathematics, statistics or closely related fields
4 years of professional experience in applied machine learning
Experience in machine learning, deep learning, and statistical modeling
Proficiency in Python and/or Java, with experience in building production grade ML systems
Preferred Qualifications
Experience working with machine learning, AI, data-intensive systems, or analytics platforms.
Strong understanding of distributed systems and cloud-native architectures.
Experience designing APIs and scalable services.
Ability to independently drive projects from requirements through production deployment.
Experience with LLMs, RAG systems, or AI agents.
Experience building fraud, trust and safety, identity, security, or risk systems.
Experience with feature engineering and large-scale data processing.
Familiarity with detection engineering, SIEM, SOAR, or security analytics platforms.
Experience deploying AI systems into production environments.
Knowledge of authentication, account security, or behavioral analytics
Pay & Benefits
Our compensation reflects the cost of living across several US geographic markets. At Coupang, your base pay is one part of your total compensation.
The base pay for this position ranges from $152,000/year to $261,000/year. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills and experience.
General Description of All Benefits
- Annual bonus is 0-20% of the base salary
- Medical/Dental/Vision/Life, AD&D insurance
- Flexible Spending Accounts (FSA) & Health Savings Account (HAS)
- Long-term/Short-term Disability
- Employee Assistance Program (EAP) program
- 401K Plan with Company Match
- 18-21 days of Paid Time Off (PTO) a year based on the tenure
- 12 Paid Holidays
- Paid Parental leave
- Pre-tax commuter benefits
- MTV- [Free] Electric Car Charging Station
General Description of Other Compensation
"Other Compensation" includes, but is not limited to, bonuses, equity, or other forms of compensation that would be offered to the hired applicant in addition to their established salary or wage scale.
Recruitment Process and Others
Recruitment Process
- Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer
- The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances.
- Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage.
Details to Consider
- This job posting may be closed prior to the stated end date for application if all openings are filled.
- Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process.
- Coupang does not discriminate against disabled applicants or those with veteran status. We are proud to offer equal opportunities for all applicants.
Privacy Notice
- Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below: https://www.coupang.jobs/privacy-policy/
Coupang is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, or gender (including pregnancy, gender identity, gender expression, sexual orientation, transgender status), national origin, age, disability, medical condition, HIV/AIDS or Hepatitis C status, marital status, military or veteran status, use of a trained dog guide or service animal, political activities, or affiliations, citizenship, or any other characteristic or class protected by the laws or regulations in the locations where we operate. If you need assistance and/or reasonable accommodation in the recruiting process due to a disability, please contact us at usrecruiting@coupang.com.
Job Requisition ID : R0081404
See All 329+ Staff Engineer Jobs in Washington
Find roles in Washington that match your experience and apply in just a few clicks.
Find Staff Engineer JobsStaff Engineer Jobs by City in Washington
Where Washington roles are concentrated, by current openings.
Staff Engineer Job Market in Washington
A snapshot from current Washington openings, updated as new roles post.
Who's Hiring
- Shield48
- Rippling25
- GEICO23
- Google21
- Uber14
Top Industries Hiring
- Technology & Software43
- Insurance11
- Banking & Financial Services7
- Consulting & Professional Services7
- Retail4
What Washington Employers Look For
The qualifications that appear most often in staff engineer jobs across Washington.
- Bachelor's degree in computer science, engineering, or a closely related technical field required
- Seven or more years of software or systems engineering experience with demonstrated technical leadership
- Proven ability to define architecture decisions and mentor engineers across multiple teams
- Deep expertise in distributed systems, cloud platforms, or embedded software depending on the discipline
- Experience driving cross-functional technical projects from design through production delivery
- Strong written and verbal communication skills for technical documentation and stakeholder alignment
Staff Engineer Jobs in Washington: Frequently Asked Questions
How do you become a staff engineer in Washington?
Staff engineer roles in Washington are typically reached through a combination of formal education and accumulated engineering experience rather than a state-issued license. Most employers require a bachelor's degree in computer science, electrical engineering, or a related field, though many Washington technology and aerospace employers also recognize equivalent experience. The clearest path is building depth in a specialized domain, taking on technical leadership within project teams, and demonstrating the ability to influence architecture decisions before pursuing a staff-level title.
Which companies hire staff engineers in Washington?
Employers hiring staff engineers in Washington right now include Shield, Rippling, and GEICO, based on current listings on Migrate Mate as of November 2026. Washington's concentration of technology headquarters and aerospace manufacturers means staff engineer openings appear consistently across both software-focused and hardware-focused organizations throughout the state.
Which Washington cities have the most staff engineer jobs?
Seattle, Bellevue, and Kirkland have the most staff engineer openings in Washington. Seattle and Bellevue drive the majority of listings because of the dense cluster of technology companies and cloud platform teams headquartered there, while Redmond reflects Microsoft's large engineering campus and Everett draws aerospace engineers tied to major manufacturing operations in that corridor.
Are there remote staff engineer jobs in Washington?
Yes, and more than most fields. About 65% of staff engineer openings tied to Washington are remote or hybrid as of November 2026, reflecting how much of the work happens in code, design documents, and distributed systems rather than on a physical site. The roles most likely to be fully remote tend to be in software platform, backend infrastructure, and developer tooling, while staff engineers embedded in hardware, embedded systems, or manufacturing programs typically require on-site presence.
How can I get hired as a staff engineer in Washington with little or no experience?
The most realistic entry path is starting in a software engineer or systems engineer role and building toward staff-level scope over time. Large Washington employers like Microsoft and Amazon run structured new-graduate hiring programs that place engineers into teams where mentorship and promotion tracks are formalized. Taking on technical design work, writing architecture proposals, and leading a project end-to-end within an existing role are the activities that convert an engineer into a staff-level candidate. A strong portfolio of system design decisions and documentation gives Washington candidates a concrete edge when applying.
Where can I find and apply to staff engineer jobs in Washington?
You can find and apply to staff engineer jobs in Washington on Migrate Mate, which lists current Washington openings across technology, aerospace, and related industries. Find roles that fit your experience and apply directly to each one.
See All 329+ Staff Engineer Jobs in Washington
Find roles in Washington that match your experience and apply in just a few clicks.
Find Staff Engineer Jobs