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Remote Service Engineer Jobs in Everett, WA (NOW HIRING)

Software Engineer

Seattle, WA · On-site +1

$146K - $235K/yr

  • Medical

  • Life

  • Retirement

  • PTO

What you'll do As a Software Engineer on the AI Platform team, you will architect and build the ... services Job Designation Hybrid: Employee divides their time between in-office and remote work.

Senior DevOps Engineer

Seattle, WA · Remote

$133K - $170K/yr

Remote - USA The AES Group is hiring an experienced Senior DevOps Engineer to join our growing ... Opportunity to contribute to GenAI and Azure Cognitive Services environments * Collaborate with ...

... its services, and how we interact with users. Later, we'd love for you to take on this role with ... This role is remote but requires candidates to be located in the Mountain or Pacific time zones.

... its services, and how we interact with users. Later, we'd love for you to take on this role with ... This role is remote but requires candidates to be located in the Mountain or Pacific time zones.

Data Engineer

Bellevue, WA · Remote

$117K - $140K/yr

Bellevue, WA. (Remote) Mandatory Skills: Vectr and Cribl 8+ years of experience. * Design and ... Implement Azure cloud services, including Azure Data Lake, Azure SQL Database * Develop Python ...

Software Engineer

Seattle, WA · On-site +1

$146K - $235K/yr

  • Medical

  • Life

  • Retirement

  • PTO

The service will deliver a No-Code Business Process Automation framework that allows administrators ... Employee divides their time between in-office and remote work. Access to an office location is ...

Staff Software Engineer

Seattle, WA · On-site +1

$195K - $257K/yr

Cloud services (AWS, Google Cloud, Microsoft Azure, etc) * Container orchestration systems like ... Excellent communication skills, able to collaborate with remote teams, share ideas and present ...

Senior Software Engineer

Seattle, WA · On-site +1

$152K - $205K/yr

Experience with Cloud Services (AWS, Google Cloud, Microsoft Azure, etc). * Experience with SQL ... Excellent communication skills, able to collaborate with remote teams, share ideas and present ...

Software Engineer

Seattle, WA · On-site +1

$118K - $183K/yr

  • Medical

  • Life

  • Retirement

  • PTO

What you'll do Docusign is seeking a Software Engineer to work on the next generation of our Search ... services Job Designation Hybrid: Employee divides their time between in-office and remote work.

Protection and Control Engineer

WA · Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

While this is a full remote position, there is preference for candidates located in the Northern ... ABB's Service Division partners with our customers to improve the availability, reliability ...

Engineer RQ00904

Edmonds, WA · On-site +1

$100 - $140/hr

Edmonds, BC (preferred) | Fully Remote Option Available Organization: BC Hydro Duration: 12 months ... services for medium- to high-complexity projects and operational initiatives-safely, on time, and ...

Senior Bridge Engineer

Seattle, WA · On-site +1

$118K - $163K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Remote opportunities may be available for the right candidate. At Horrocks, we believe the best ... You will provide top-of-the-industry engineering services that are verified through a rigorous QC ...

Design and implement services that are reliable, high-quality, performant, and sustainable * Work ... At Aerostrat we pride ourselves on our excellent work environment with a fully remote team and ...

Showing results 41-60

Remote Service Engineer information

See Everett, WA salary details

$22

$44

$73

How much do remote service engineer jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for remote service engineer in Everett, WA is $44.66, according to ZipRecruiter salary data. Most workers in this role earn between $35.58 and $50.43 per hour, depending on experience, location, and employer.

What is a remote service engineer?

A Remote Service Engineer is responsible for diagnosing, troubleshooting, and resolving technical issues for customers or clients from a remote location. They provide support via phone, email, or online communication tools, ensuring minimal downtime for critical systems. Their role often involves software updates, system maintenance, and guiding users through technical processes. Strong problem-solving skills, technical expertise, and excellent communication are essential for success in this position.

What are the key skills and qualifications needed to thrive as a remote service engineer?

A Remote Service Engineer should possess a solid background in troubleshooting, diagnosing technical issues, and providing remote support, typically backed by a degree in engineering or a related technical field. Familiarity with remote access tools, ticketing systems, CRM software, and certifications like CompTIA A+ or Microsoft Certified Solutions Expert (MCSE) are commonly expected. Exceptional communication skills, adaptability, and proactive problem-solving are vital to excel in this role. These abilities ensure efficient remote resolution of customer concerns, build client trust, and maintain high service quality standards.

What are some of the biggest challenges a remote service engineer might face, and how are they addressed?

One of the main challenges for a Remote Service Engineer is diagnosing and resolving issues without direct, hands-on access to equipment, which requires strong analytical skills and clear communication with clients. They often need to rely on clients to describe problems accurately while using remote access tools to perform troubleshooting. Collaboration with on-site teams or other support engineers is common, especially for complex issues that cannot be resolved remotely. Continuous learning and adapting to updates in hardware, software, and remote support technologies are important for staying effective in this dynamic role. Many employers support their remote engineers with training, regular team meetings, and accessible knowledge bases to help overcome these challenges.

What are popular job titles related to Remote Service Engineer jobs in Everett, WA?

For Remote Service Engineer jobs in Everett, WA, the most frequently searched job titles are:

What job categories do people searching Remote Service Engineer jobs in Everett, WA look for?

The top searched job categories for Remote Service Engineer jobs in Everett, WA are:

What cities near Everett, WA are hiring for Remote Service Engineer jobs?

Cities near Everett, WA with the most Remote Service Engineer job openings:

Software Engineer

DocuSign

Seattle, WA • On-site, Remote

$146K - $235K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 19 days ago


DocuSign rating

9.9

Company rating: 9.9 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

1st of 245 rated software companies


Job description

Company Overview

Docusign brings agreements to life. Over 1.5 million customers and more than a billion people in over 180 countries use Docusign solutions to accelerate the process of doing business and simplify people's lives. With intelligent agreement management, Docusign unleashes business-critical data that is trapped inside of documents. Until now, these were disconnected from business systems of record, costing businesses time, money, and opportunity. Using Docusign's Intelligent Agreement Management platform, companies can create, commit, and manage agreements with solutions created by the #1 company in e-signature and contract lifecycle management (CLM).

What you'll do

As a Software Engineer on the AI Platform team, you will architect and build the robust distributed systems and backend infrastructure that power global AI capabilities. This is a systems-first role where you will be responsible for the "pipes and engines" of our AI operations, ensuring that document processing, model serving, and data orchestration are reliable, resilient, and horizontally scalable. You will bridge the gap between core AI research and production-grade engineering, developing scalable platforms for autonomous agents, advanced retrieval systems, and automated model optimization.

This position is an individual contributor role reporting to the Director, Machine Learning Engineering

Responsibility

  • Build and maintain high-performance distributed systems to support large-scale model inference and data processing

  • Design and build resilient, horizontally scalable backend services capable of handling high-throughput data processing and model interaction

  • Develop the core infrastructure for model serving and inference runtimes, focusing on maximizing resource utilization and minimizing latency

  • Architect resilient data ingestion and processing pipelines that handle massive datasets while ensuring data integrity, multi-tenant isolation, and high availability

  • Optimize system performance, identify bottlenecks, and implement advanced monitoring (SLOs, SLAs) to ensure high reliability for mission-critical AI services

Job Designation

Hybrid: Employee divides their time between in-office and remote work. Access to an office location is required. (Frequency: Minimum 2 days per week; may vary by team but will be weekly in-office expectation)

Positions at Docusign are assigned a job designation of either In Office, Hybrid or Remote and are specific to the role/job. Preferred job designations are not guaranteed when changing positions within Docusign. Docusign reserves the right to change a position's job designation depending on business needs and as permitted by local law.

What you bring

Basic

  • 5+ years of software engineering experience with a primary focus on distributed systems and scalable backend architecture

  • Experience building, deploying, and maintaining ML models in high-traffic, production environments

  • Experience with Python and professional experience with at least one other strongly-typed language (e.g., Java, Go, or C#)

  • Experience with container orchestration (e.g., Kubernetes), messaging systems (e.g., Kafka, Service Bus), and high-performance database design

  • Experience building production systems that operate at massive scale with strict uptime and latency requirements

  • Bachelor's or Master's degree in Computer Science or a related technical field

Preferred

  • Experience with stateful workflow engines or distributed task queues (e.g., Temporal) for managing complex, multi-step AI processes

  • Familiarity with frameworks designed for horizontal scaling of compute-intensive ML workloads (e.g., Ray, Spark)

  • Expertise in Azure or GCP infrastructure, specifically around identity, security, and compliant networking (VNETs, PEPs)

  • Experience building platform-level services for LLM orchestration, RAG architectures, and specialized prompt configuration layers

Wage Transparency

Pay for this position is based on a number of factors including geographic location and may vary depending on job-related knowledge, skills, and experience.

Based on applicable legislation, the below details pay ranges in the following locations:

California: $146,400.00 - $235,375.00 base salary

Washington: $140,100.00 - $206,775.00 base salary 

This role is also eligible for the following:

  • Bonus: Sales personnel are eligible for variable incentive pay dependent on their achievement of pre-established sales goals. Non-Sales roles are eligible for a company bonus plan, which is calculated as a percentage of eligible wages and dependent on company performance.
  • Stock: This role is eligible to receive Restricted Stock Units (RSUs).

Global benefits provide options for the following:

  • Paid Time Off: earned time off, as well as paid company holidays based on region
  • Paid Parental Leave: take up to six months off with your child after birth, adoption or foster care placement
  • Full Health Benefits Plans: options for 100% employer paid and minimum employee contribution health plans from day one of employment
  • Retirement Plans: select retirement and pension programs with potential for employer contributions
  • Learning and Development: options for coaching, online courses and education reimbursements
  • Compassionate Care Leave: paid time off following the loss of a loved one and other life-changing events
Life at DocuSign

Working here

Docusign is committed to building trust and making the world more agreeable for our employees, customers and the communities in which we live and work. You can count on us to listen, be honest, and try our best to do what's right, every day. At Docusign, everything is equal.

We each have a responsibility to ensure every team member has an equal opportunity to succeed, to be heard, to exchange ideas openly, to build lasting relationships, and to do the work of their life. Best of all, you will be able to feel deep pride in the work you do, because your contribution helps us make the world better than we found it. And for that, you'll be loved by us, our customers, and the world in which we live.

Accommodation

Docusign is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need such an accommodation, or a religious accommodation, during the application process, please contact us at accommodations@docusign.com.

If you experience any issues, concerns, or technical difficulties during the application process please get in touch with our Talent organization at taops@docusign.com for assistance.

Applicant and Candidate Privacy Notice

States Not Eligible for Employment

This position is not eligible for employment in the following states: Alaska, Hawaii, Maine, Mississippi, North Dakota, South Dakota, Vermont, West Virginia and Wyoming.

EEO Statement

It's important to us that we build a talented team that is as diverse as our customers and where all employees feel a deep sense of belonging and thrive. We encourage great talent who bring a range of perspectives to apply for our open positions. Docusign is an Equal Opportunity Employer and makes hiring decisions based on experience, skill, aptitude and a can-do approach. We will not discriminate based on race, ethnicity, color, age, sex, religion, national origin, ancestry, pregnancy, sexual orientation, gender identity, gender expression, genetic information, physical or mental disability, registered domestic partner status, caregiver status, marital status, veteran or military status, or any other legally protected category.

EEO Know Your Rights poster

Employment Type: FULL_TIME

What DocuSign employees say

Hours and flexibility

Workplace

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