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Remote Aws Serverless Developer Jobs in Bothell, WA

Zortech Solutions

MLOps Engineer

Bellevue, WA · Remote

Bellevue, WA Remote Work100% Primary SkillsAWS Cloud Formation * MLOps Engineer to work on AWS ... serverless solutions, MLOps stacks, and Lakehouse monitoring, among other areas. * 4-6 years of ...

RELQ Technologies

Senior AWS Cloud Architect

Redmond, WA · On-site +1

$72.50 - $95.25/hr

Remote-USA About the Role We are seeking a highly skilled AWS Cloud Architect with strong expertise ... Collaborate with DevOps, engineering, and security teams to ensure seamless delivery. * Establish ...

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How much do remote aws serverless developer jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for remote aws serverless developer in Bothell, WA is $60.42, according to ZipRecruiter salary data. Most workers in this role earn between $43.27 and $72.02 per hour, depending on experience, location, and employer.

What is a Remote AWS Serverless Developer?

A Remote AWS Serverless Developer is a software engineer who specializes in building and maintaining applications using Amazon Web Services (AWS) serverless technologies, such as AWS Lambda, API Gateway, DynamoDB, and others, while working remotely. These professionals design, code, and deploy scalable solutions without managing traditional server infrastructure. Their responsibilities often include writing cloud functions, integrating AWS services, automating deployment processes, and ensuring high performance and security standards. They collaborate with teams using online tools and are knowledgeable about cloud architecture best practices.

What are the key skills and qualifications needed to thrive as a Remote AWS Serverless Developer, and why are they important?

To thrive as a Remote AWS Serverless Developer, you need strong skills in cloud computing, programming (especially in languages like Python or Node.js), and deep knowledge of AWS serverless services such as Lambda, API Gateway, and DynamoDB. Familiarity with AWS CloudFormation, SAM, CI/CD pipelines, and AWS certifications like AWS Certified Developer – Associate are highly valuable. Excellent problem-solving abilities, self-motivation, and effective remote communication skills help you excel in distributed team environments. Mastering these competencies ensures you can build scalable, efficient serverless solutions while collaborating seamlessly with global teams.

How does a Remote AWS Serverless Developer typically collaborate with other team members across different time zones?

As a Remote AWS Serverless Developer, you’ll often work with cross-functional teams including front-end developers, DevOps engineers, and project managers who may be distributed globally. Effective collaboration relies heavily on clear communication through tools like Slack, Jira, and regular video meetings. You’ll likely take part in code reviews, sprint planning, and architecture discussions asynchronously to accommodate varying time zones. Documenting your work and maintaining up-to-date status reports are important to keep everyone aligned and ensure smooth project progress.
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Remote Aws Serverless Developer jobs near you
Engineering Manager, Serverless Compute Platform

Engineering Manager, Serverless Compute Platform

Databricks

Bellevue, WA • Remote

Other

Posted 23 days ago

Job description

RDQ427R100

At Databricks, we are passionate about helping data teams solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best AI and data infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers - and customer obsessed - we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

The Serverless Compute Platform is the backbone of Databricks' fastest-growing products.  It is powering massive growth in our existing product lines (e.g. Generic Compute, SQL) as well as new and emerging products (e.g. Lakewatch, interactive compute).  Behind this hockey stick growth is a set of highly scalable, efficient, and intelligent services managing tens of millions of virtual machines daily across AWS, Azure, and GCP.

As Engineering Manager for the Execution Sandbox team, you will own the end-to-end delivery of this new service and the engineers building it. 

  • You will inherit a team of strong senior ICs who have already delivered an initial preview. Your job is to build out the full vision, guide evolution, and scale the team.  
  • You will ensure strong execution health and that the service launches with production-grade reliability spanning a range of use cases, e.g. GPU onboarding, UDF generalization, and managed REPL. 

The impact you will have:

  • Own a 01 service with platform-wide blast radius. Architect and launch the Execution Sandbox Service from inception to production scale. This greenfield provisioning layer will power all non-Spark compute workloads on Serverless (Notebooks, AI Agents, Remote UDFs). 
  • Unify a fragmented compute surface. Converge disparate CPU and GPU cluster management paths into a single provisioning service, eliminating parity bugs and enabling consistent product experiences. 
  • Collaborate across 5+ partner organizations. Drive alignment on API contracts and shared milestones across Serverless Platform, AI Runtime, Lakeguard, and product teams.
  • Shape product strategy through deep technical understanding. Partner with Product Management to leverage this new sandbox primitive for future offerings like serverless command execution APIs and FaaS-style workloads.

What we look for:

  • 5+ years managing engineers building and operating distributed systems in production, ideally control-plane or orchestration services 
  • BS or higher in Computer Science or a related field. Equivalent practical experience is equally valued.
  • Deep technical fluency in infrastructure systems. Ability to deeply review architecture docs, challenge design tradeoffs (e.g., state machine design, API boundaries), and coach senior ICs. 
  • Experience with multi-cloud or multi-region service deployment (AWS, Azure, GCP).
  • Bias toward operational rigor. Deep commitment to observability, SLOs, pre-mortems, and healthy on-call cultures.
  • Build and scale a high-caliber team.  Manage and elevate a team of strong L3-L5 engineers, establishing clear ownership boundaries and architectural doctrine. You will also hire 2-3 additional engineers to support this expanded scope.

Apply