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Senior Distributed Systems Engineer Jobs in Bothell, WA

Amazon

Sr. Systems Engineer, Prime Air

Seattle, WA · On-site

$118K - $162K/yr

We are seeking an experienced Sr. Systems Engineer who combines superb technical and analytical ... Geospatial engineering, Weather Science, Distributed Systems, Flight Decks, or Traffic Management ...

Nscale

Senior Systems Engineer

Seattle, WA · On-site

$118K - $162K/yr

About the Role We are looking for a Senior Systems Developer to lead the design, development, and operation of large-scale distributed systems powering high-performance infrastructure. This role goes ...

Nscale

Systems Engineer

Seattle, WA · On-site

The Role We are hiring a Senior Systems Engineer to support the deployment and bringup of ... Validate node-to-node system performance across distributed environments * Troubleshoot hardware ...

General Robotics

Systems Engineer

Redmond, WA · On-site

$155K - $205K/yr

Architect and manage distributed systems for efficient resource utilization across heterogeneous ... Strong systems programming skills in one or more of: C++, Rust, Go, Python. * Solid understanding ...

Nscale

Systems Engineer

Seattle, WA

The Role We are hiring a Senior Systems Engineer to support the deployment and bringup of ... Validate node-to-node system performance across distributed environments * Troubleshoot hardware ...

Amazon

Sr. Systems Engineer, Prime Air

Seattle, WA · On-site

$118K - $162K/yr

... distributed system functions. - Lead interdisciplinary trade studies across Prime Air software ... A day in the life The Senior Systems Engineer begins by reviewing the latest airspace regulations ...

Amazon

Sr. Systems Engineer, Prime Air

Seattle, WA · On-site

$118K - $162K/yr

... distributed system functions. - Lead interdisciplinary trade studies across Prime Air software ... A day in the life The Senior Systems Engineer begins by reviewing the latest airspace regulations ...

Nscale

Systems Engineer - Early Career

Seattle, WA

... distributed systems while developing practical software solutions that support real-world ... Collaborate with senior engineers on projects involving compute, networking, cloud, and platform ...

New

Amazon

Systems Engineer, Prime Air

Seattle, WA · On-site

Geospatial engineering, Weather Science, Distributed Systems, Flight Decks, or Traffic Management. - Experience in cloud based software development, system design, and/or distributed system ...

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All JobsDistributed Systems Engineer JobsSenior Distributed Systems Engineer JobsSenior Distributed Systems Engineer Jobs in Bothell, WA

Senior Distributed Systems Engineer information

See Bothell, WA salary details

$63.4K

$141.3K

$199.4K

How much do senior distributed systems engineer jobs pay per year?

As of Jul 12, 2026, the average yearly pay for senior distributed systems engineer in Bothell, WA is $141,302.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,400.00 and $162,000.00 per year, depending on experience, location, and employer.

What is the difference between Senior Distributed Systems Engineer vs Cloud Solutions Architect?

AspectSenior Distributed Systems EngineerCloud Solutions Architect
CredentialsBachelor's/Master's in CS or related, experience with distributed systemsBachelor's/Master's in CS, IT, or related, cloud certifications (AWS, Azure)
Work EnvironmentDesigning, developing, and maintaining distributed systems in tech companiesDesigning cloud infrastructure solutions for clients or internal teams
Industry UsageTech, finance, e-commerce, and enterprise sectorsIT consulting, cloud service providers, enterprise IT departments

The Senior Distributed Systems Engineer focuses on building and optimizing distributed computing systems, while the Cloud Solutions Architect designs cloud infrastructure solutions. Both roles require technical expertise and often overlap in cloud environments, but their primary responsibilities differ in scope and focus.

What engineer makes $500,000 a year?

Senior Distributed Systems Engineers can earn $500,000 or more annually, especially with extensive experience, specialized skills in cloud infrastructure, and leadership roles. Compensation often includes base salary, bonuses, and stock options in large tech companies or startups with high growth potential.

What are the key skills and qualifications needed to thrive as a Senior Distributed Systems Engineer, and why are they important?

A Senior Distributed Systems Engineer requires deep expertise in computer science fundamentals, scalable system architecture, and proficiency in programming languages such as Java, Go, or Python, often supported by a relevant degree and significant experience in distributed systems. Familiarity with tools like Kubernetes, Docker, Kafka, and cloud platforms (AWS, GCP, or Azure) is typically expected, along with knowledge of monitoring and CI/CD pipelines. Strong problem-solving, communication, and leadership skills help in tackling complex engineering challenges and collaborating across teams. These skills are crucial for designing robust, scalable, and reliable systems that support organizational growth and high availability.

What engineers make $200,000 a year?

Senior distributed systems engineers often earn $200,000 or more annually, especially with extensive experience, advanced skills in cloud computing, and expertise in scalable architecture. Compensation can vary based on industry, location, and company size, with some roles in tech giants or specialized fields reaching or exceeding this level.

What are some common challenges Senior Distributed Systems Engineers face when designing scalable systems?

Senior Distributed Systems Engineers often encounter challenges such as managing data consistency, ensuring fault tolerance, and minimizing latency across multiple nodes. Balancing trade-offs between availability and partition tolerance (as outlined by the CAP theorem) is a frequent consideration. Additionally, coordinating between development and operations teams to maintain system reliability and efficiently resolve issues that arise in production environments is crucial. Strong communication skills and a deep understanding of distributed architectures help address these complexities effectively.

What are Senior Distributed Systems Engineers?

Senior Distributed Systems Engineers are experienced professionals who design, build, and maintain large-scale computing systems that run across multiple machines or locations. They focus on ensuring reliability, scalability, and performance of distributed applications, often dealing with challenges like data consistency, fault tolerance, and network latency. These engineers typically have deep expertise in distributed computing principles, programming languages, and cloud infrastructure. They also mentor junior team members and help architect robust solutions for complex technical problems.

What engineers make $300,000 a year?

Senior distributed systems engineers, software engineers in specialized fields like cloud infrastructure, and senior engineers with extensive experience and advanced skills can earn $300,000 or more annually. High compensation often depends on expertise in areas such as distributed architecture, performance optimization, and familiarity with tools like Kubernetes and cloud platforms, along with relevant certifications and a strong track record of project delivery.

Is L5 at Google Senior?

L5 at Google typically corresponds to a senior-level engineering role, often called Software Engineer II or equivalent, with significant experience and technical expertise. It is considered a mid-to-senior level position, with responsibilities including project leadership and mentorship. Advancement to higher levels generally requires demonstrated impact and leadership in projects.
What are popular job titles related to Senior Distributed Systems Engineer jobs in Bothell, WA? For Senior Distributed Systems Engineer jobs in Bothell, WA, the most frequently searched job titles are:
What cities near Bothell, WA are hiring for Senior Distributed Systems Engineer jobs? Cities near Bothell, WA with the most Senior Distributed Systems Engineer job openings:
Senior Distributed Systems Engineer jobs near you
Infographic showing various Senior Distributed Systems Engineer job openings in Bothell, WA as of July 2026, with employment types broken down into 88% Full Time, 10% Part Time, and 2% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $141,302 per year, or $67.9 per hour.

Staff ML Systems Engineer, Distributed Systems

FieldAI

Seattle, WA

$195K - $230K/yr

Full-time

Re-posted 13 days ago

Job description

FieldAI’s Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California’s robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field.

We are seeking a Staff ML Systems Engineer to architect and build the distributed infrastructure that powers large-scale machine learning workflows across the organization.

This role sits at the intersection of machine learning, distributed systems, and platform engineering. You will be responsible for designing scalable systems that support data processing, model training, evaluation, and post-processing pipelines while enabling ML teams to efficiently develop, operate, and scale production-grade workflows.

You will play a critical role in defining the architectural patterns, tooling, and infrastructure that underpin our machine learning platform.

What You'll Get To Do
  • Design and build scalable distributed machine learning pipelines across data processing, model training, evaluation, and post-processing workflows.
  • Architect distributed execution systems, including parallelization strategies, workload scheduling, resource allocation, and fault tolerance mechanisms.
  • Develop reusable abstractions, frameworks, and libraries that simplify distributed pipeline development.
  • Optimize performance across distributed CPU and GPU environments, improving throughput, utilization, and reliability.
  • Design systems that effectively manage data partitioning, memory utilization, serialization overhead, and compute efficiency.
  • Partner closely with ML engineers, data engineers, and infrastructure teams to productionize research workflows and enable large-scale model development.
  • Establish best practices and engineering standards for distributed machine learning infrastructure.
  • Evaluate and guide decisions around distributed computing frameworks, infrastructure technologies, and system design trade-offs.
  • Improve observability, debugging, monitoring, and operational tooling for distributed systems at scale.
What You Have
  • 5+ years of experience building distributed systems, backend infrastructure, machine learning platforms, or large-scale data processing systems.
  • Strong Python programming skills, including experience with concurrency, performance optimization, and systems development.
  • Experience with distributed computing frameworks such as Ray, Spark, Dask, Flink, or similar technologies.
  • Experience designing and scaling data pipelines or machine learning workflows.
  • Strong system design skills with demonstrated expertise in scalability, reliability, and performance optimization.
  • Experience diagnosing and resolving bottlenecks in distributed environments.
  • Ability to work cross-functionally and drive technical decisions across multiple teams.
The Extras That Set You Apart
  • Experience building infrastructure for machine learning training and inference systems.
  • Familiarity with modern ML frameworks such as PyTorch or TensorFlow.
  • Experience with multi-node or multi-GPU training architectures, including DDP, FSDP, DeepSpeed, or similar technologies.
  • Experience operating Kubernetes-based infrastructure and large-scale cloud systems.
  • Deep understanding of distributed systems concepts including data locality, serialization costs, scheduling, and resource management.
  • Experience with distributed debugging, observability, and workflow orchestration platforms.
  • Proven ability to establish technical direction and influence architecture across organizations.

Our salary range is highly competitive with the market, but we take into consideration an individual's background and experience in determining final salary. Base pay offered may vary depending on geographic location, job-related knowledge, skills, and experience.

In addition to competitive compensation, FieldAI offers comprehensive benefits, equity participation, and the opportunity to contribute to cutting-edge advancements in AI and robotics.

Our salary range is generous and we consider each individual’s background and experience when determining final compensation. Base pay may vary based on role scope, job-related knowledge, skills, experience, and the Irvine, California market.

Why Join FieldAI in Irvine?
In Irvine, you will work where the robots are. Our local team builds and tests systems on real hardware with real sensors, then ships them to operate in unstructured, previously unknown environments around the world. We are solving one of robotics’ hardest challenges: reliable deployment outside the lab. Our Field Foundational Models™ raise the bar for perception, planning, localization, and manipulation, with an emphasis on explainability and safety for real-world use.
You will collaborate with a world-class team that thrives on creativity, resilience, and bold thinking. We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of field deployments and strong performance in DARPA challenge segments.

Be Part of the Next Robotics Revolution
We are looking for builders who want their work to leave the whiteboard and show up on robots. If you enjoy tackling tough, uncharted questions and working across disciplines, you will find your people here. Our teams span AI, software, robotics engineering, product, field deployment, and technical communication, all focused on shipping systems that perform in the real world.

Our headquarters is in Irvine, and we partner closely with teams there as well as colleagues across the US and around the world. Join us in Southern California and help define what dependable, field-ready autonomy looks like.

We value diverse perspectives and are committed to fostering an inclusive workplace. We evaluate candidates and employees based on merit, qualifications, and performance, and we do not discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected statu

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.