Systems Engineer Jobs in Seattle, WA
Systems Engineer jobs in Seattle, Washington cluster in South Lake Union, Bellevue, and Redmond across aerospace, cloud computing, defense, and enterprise software. Blue Origin, Amazon, and Amazon Web Services are among the employers actively posting openings. See the openings below and apply to the ones that match your experience.
Find Systems Engineer JobsOverview
Showing 5 of 102+ Systems Engineer jobs
About Pinterest:
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.
Are you passionate about building impactful products for sales and finance teams? Come join the IT Enterprise Systems team at Pinterest where you will be responsible for advancing our sales and marketing systems.
What you'll do:
Design, build, and operate full‑stack applications and services on Pinterest's enterprise infrastructure to support our Sales, Marketing, and Finance teams, from backend services and APIs through integrations and user‑facing workflows.- Lead the technical design and implementation of GenAI/ML‑powered services and pipelines that automate and augment enterprise workflows (for example, summarizing sales interactions, enriching account data, or surfacing intelligent recommendations), including clear evaluation frameworks, observability, and validation guardrails.
- Own the end‑to‑end software development lifecycle for these systems: requirements gathering, architecture, implementation, testing, deployment, monitoring, and continuous improvement.
- Partner closely with product managers, business systems analysts, and other engineers to translate ambiguous business needs into well‑defined technical plans, success metrics, and deliverables—and to make thoughtful tradeoffs between scope, risk, and speed.
- Use AI coding tools and agents to accelerate development responsibly (e.g., drafting code and tests, iterating on designs, summarizing findings), while applying rigorous testing, code review, and observability to ensure quality and reliability.
- Mentor and coach other engineers on system design, GenAI/ML patterns, and AI‑augmented workflows, contributing to technical decision‑making and raising the bar on engineering practices within the team.
What we're looking for:
Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field, or equivalent combination of education and experience.- Experience building systems or analytics used by Sales and/or Marketing teams (for example CRM or sales productivity tools, campaign management and measurement, or revenue operations workflows), with a clear understanding of how these partners use data and tooling to hit their goals.
- 10+ years of software engineering experience building and operating production systems, including full‑stack applications and/or backend services on a modern cloud platform (such as AWS or similar). Experience in enterprise or business systems environments is a plus.
- Strong proficiency in Python and experience with at least one of: Java, Node.js, and/or Javascript, with a track record of delivering reliable, maintainable code in collaborative engineering teams.
- Hands‑on experience designing and operating distributed systems and robust, fault‑tolerant integrations (e.g., REST/gRPC services, event‑driven architectures, or data pipelines) that support critical business workflows.
- Practical experience building or integrating GenAI/ML‑powered features or services in production—such as LLM‑based workflows, ML‑driven recommendations, or intelligent automation—including an understanding of evaluation, observability, and common failure modes.
- Demonstrated ability to use AI tools and agents to write, review, and validate detailed technical design documents (TDDs), specifications, and test plans as part of a spec‑driven, agentic development workflow, while maintaining ownership of technical decisions, quality, and correctness.
- Experience using GenAI coding tools (for example, Cursor, Claude Code, or similar) and/or agents in your development workflow, with a demonstrated ability to validate AI‑assisted output and maintain high standards for quality, security, and maintainability.
- Excellent communication, collaboration, and leadership skills, with the ability to work effectively across cross‑functional, diverse teams and to explain complex technical concepts—including GenAI/ML tradeoffs—to non‑technical partners.
- Outcome‑oriented mindset: you focus on delivering business outcomes rather than just technical outputs, using technology and AI thoughtfully to positively impact key performance metrics for Sales, Marketing, and Finance.
- Salesforce engineering experience (for example, Sales Cloud, Service Cloud, or Salesforce integrations) is a plus, especially where it supports Sales and Marketing workflows.
Relocation Statement:
- This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
In-Office Requirement Statement:
- We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
- This role will need to be in the office for in-person collaboration 1-2 times every 6 months and therefore can be situated anywhere in the country.
#LI-REMOTE
#LI-JD3
Our Commitment to Inclusion:
About Pinterest:
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.
Are you passionate about building impactful products for sales and finance teams? Come join the IT Enterprise Systems team at Pinterest where you will be responsible for advancing our sales and marketing systems.
What you'll do:
Design, build, and operate full‑stack applications and services on Pinterest's enterprise infrastructure to support our Sales, Marketing, and Finance teams, from backend services and APIs through integrations and user‑facing workflows.- Lead the technical design and implementation of GenAI/ML‑powered services and pipelines that automate and augment enterprise workflows (for example, summarizing sales interactions, enriching account data, or surfacing intelligent recommendations), including clear evaluation frameworks, observability, and validation guardrails.
- Own the end‑to‑end software development lifecycle for these systems: requirements gathering, architecture, implementation, testing, deployment, monitoring, and continuous improvement.
- Partner closely with product managers, business systems analysts, and other engineers to translate ambiguous business needs into well‑defined technical plans, success metrics, and deliverables—and to make thoughtful tradeoffs between scope, risk, and speed.
- Use AI coding tools and agents to accelerate development responsibly (e.g., drafting code and tests, iterating on designs, summarizing findings), while applying rigorous testing, code review, and observability to ensure quality and reliability.
- Mentor and coach other engineers on system design, GenAI/ML patterns, and AI‑augmented workflows, contributing to technical decision‑making and raising the bar on engineering practices within the team.
What we're looking for:
Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field, or equivalent combination of education and experience.- Experience building systems or analytics used by Sales and/or Marketing teams (for example CRM or sales productivity tools, campaign management and measurement, or revenue operations workflows), with a clear understanding of how these partners use data and tooling to hit their goals.
- 10+ years of software engineering experience building and operating production systems, including full‑stack applications and/or backend services on a modern cloud platform (such as AWS or similar). Experience in enterprise or business systems environments is a plus.
- Strong proficiency in Python and experience with at least one of: Java, Node.js, and/or Javascript, with a track record of delivering reliable, maintainable code in collaborative engineering teams.
- Hands‑on experience designing and operating distributed systems and robust, fault‑tolerant integrations (e.g., REST/gRPC services, event‑driven architectures, or data pipelines) that support critical business workflows.
- Practical experience building or integrating GenAI/ML‑powered features or services in production—such as LLM‑based workflows, ML‑driven recommendations, or intelligent automation—including an understanding of evaluation, observability, and common failure modes.
- Demonstrated ability to use AI tools and agents to write, review, and validate detailed technical design documents (TDDs), specifications, and test plans as part of a spec‑driven, agentic development workflow, while maintaining ownership of technical decisions, quality, and correctness.
- Experience using GenAI coding tools (for example, Cursor, Claude Code, or similar) and/or agents in your development workflow, with a demonstrated ability to validate AI‑assisted output and maintain high standards for quality, security, and maintainability.
- Excellent communication, collaboration, and leadership skills, with the ability to work effectively across cross‑functional, diverse teams and to explain complex technical concepts—including GenAI/ML tradeoffs—to non‑technical partners.
- Outcome‑oriented mindset: you focus on delivering business outcomes rather than just technical outputs, using technology and AI thoughtfully to positively impact key performance metrics for Sales, Marketing, and Finance.
- Salesforce engineering experience (for example, Sales Cloud, Service Cloud, or Salesforce integrations) is a plus, especially where it supports Sales and Marketing workflows.
Relocation Statement:
- This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
In-Office Requirement Statement:
- We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
- This role will need to be in the office for in-person collaboration 1-2 times every 6 months and therefore can be situated anywhere in the country.
#LI-REMOTE
#LI-JD3
Our Commitment to Inclusion:
See All 102+ Systems Engineer Jobs in Seattle
Find roles in Seattle that match your experience and apply in just a few clicks.
Find Systems Engineer JobsSystems Engineer Job Market in Seattle
Who's Hiring
- Blue Origin23
- Amazon19
- Amazon Web Services12
- Adobe3
- Apple3
Top Industries Hiring
- Technology & Software24
- E-Commerce & Online Marketplaces13
- Retail12
- Aerospace & Defense7
- Electronics & Hardware5
Systems Engineer Jobs in Seattle: Frequently Asked Questions
How do I get a systems engineer job in Seattle?
The strongest path into Seattle's systems engineer market runs through its aerospace, cloud infrastructure, and defense sectors, which concentrate in South Lake Union, Redmond, and the Eastside corridor. Candidates with hands-on experience in embedded systems, cloud architecture, or model-based systems engineering stand out locally. Engaging with Seattle-area professional groups and targeting contractors that support the region's major aerospace and government programs gives you a concrete edge.
Which companies hire systems engineers in Seattle?
Companies currently hiring systems engineers in Seattle include Blue Origin, Amazon, and Amazon Web Services, per current listings on Migrate Mate as of July 2026. Seattle's employer mix skews heavily toward large aerospace primes, hyperscale cloud providers, and defense contractors, alongside a growing layer of mid-size tech firms and startups in the South Lake Union corridor.
Are there remote systems engineer jobs in Seattle?
Yes, though it depends heavily on the role. Systems engineers working on embedded hardware, lab environments, or defense programs typically need to be on-site, while those focused on cloud systems, architecture documentation, or integration testing have more flexibility. About 39% of systems engineer openings tied to Seattle are remote or hybrid as of July 2026, with software-defined and cloud infrastructure roles making up the largest share of those flexible positions.
How can I get a systems engineer job in Seattle with little or no experience?
The most realistic entry path in Seattle is through associate systems engineer or systems integration analyst roles at aerospace primes and defense contractors, which run structured early-career programs and hire consistently from local engineering programs at the University of Washington and Seattle University. Internships or co-ops with Eastside technology firms and aerospace suppliers build the lab and documentation experience Seattle employers expect at the entry level. A strong foundation in systems modeling tools or cloud platforms accelerates that transition.
Which industries hire the most systems engineers in Seattle?
Seattle systems engineer roles concentrate in Technology & Software, E-Commerce & Online Marketplaces, and Retail, based on current listings on Migrate Mate as of July 2026. Seattle's position as a hub for commercial aerospace, hyperscale cloud infrastructure, and Department of Defense programs means sustained, year-round demand across all three sectors rather than the cyclical hiring patterns common in other markets.
Related Jobs in Washington
See All 102+ Systems Engineer Jobs in Seattle
Find roles in Seattle that match your experience and apply in just a few clicks.
Find Systems Engineer Jobs