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Full Time Amazon Problem Solver Jobs in Santa Rosa, CA

Spice AI

Forward Deployed Engineer (Rust)

Bodega Bay, CA

$135K - $163K/yr

A problem solver who starts with customer problems and solves them with technology. * A thinker who ... Familiarity with data storage like HDFS, Amazon S3, and relational databases. * Skills in data ...

Spice AI

Forward Deployed Engineer (Rust)

Bodega Bay, CA · On-site

$135K - $163K/yr

A problem solver who starts with customer problems and solves them with technology. * A thinker who ... Familiarity with data storage like HDFS, Amazon S3, and relational databases. * Skills in data ...

Spread Your Wings

Be Seen First

Direct Care Staff

Santa Rosa, CA · On-site

$20/hr

This client requires a male - (We do have other positions open for females) Full time position ... Are a strong communicator, dependable, and a creative problem-solver * Can problem solve and adapt ...

IHOP

Server

Napa, CA · On-site

$16.90/hr

A suitable candidate for the job should also be a problem-solver and a team player ... Education:no requirementsEmployment Type: FULL_TIME

Spread Your Wings, LLC.

Direct Care Staff

Napa, CA · On-site

$19.50/hr

Hiring for Supported Living Services- Direct Care Staff 🕒 Full Time 📍 Available shift: Monday ... Are a strong communicator, dependable, and a creative problem-solver * Can problem solve and adapt ...

Spread Your Wings, LLC.

Direct Care Staff

Santa Rosa, CA · On-site

$20/hr

Hiring for Supported Living Services- Direct Care Staff 🕒 Full Time 📍 Available shift: Daily ... Are a strong communicator, dependable, and a creative problem-solver * Can problem solve and adapt ...

IHOP

Host

Napa, CA · On-site

$16.90/hr

A suitable candidate for the job should also be a problem-solver and a team player ... Education:no requirementsEmployment Type: FULL_TIME

Spread Your Wings, LLC.

Direct Care Staff

Windsor, CA · On-site

$20.25/hr

Hiring for Supported Living Services- Direct Care Staff 🕒 Full Time 📍 Available shift: Friday ... Are a strong communicator, dependable, and a creative problem-solver * Can problem solve and adapt ...

Spread Your Wings, LLC.

Direct Care Staff

Windsor, CA · On-site

$20.25/hr

Hiring for Supported Living Services- Direct Care Staff 🕒 Full Time 📍 Available shift: Friday ... Are a strong communicator, dependable, and a creative problem-solver * Can problem solve and adapt ...

Spread Your Wings, LLC.

Direct Care Staff

Santa Rosa, CA · On-site

$20/hr

Hiring for Supported Living Services- Direct Care Staff 🕒 Full Time 📍 Available shift: Daily ... Are a strong communicator, dependable, and a creative problem-solver * Can problem solve and adapt ...

Spread Your Wings, LLC.

Direct Care Staff

Napa, CA · On-site

$19.50/hr

Hiring for Supported Living Services- Direct Care Staff 🕒 Full Time 📍 Available shift: Monday ... Are a strong communicator, dependable, and a creative problem-solver * Can problem solve and adapt ...

Raya Workforce

Principal Controls Engineer

Petaluma, CA · On-site

$96K - $124K/yr

Fulltime/Onsite Work Authorization : Only US Citizens/Green Card Holders Position Overview We are ... Ideal Candidate • Hands-on problem solver with strong troubleshooting skills. • Detail-oriented ...

Castello di Amorosa

Hostess/Cashier

Calistoga, CA · On-site

$18 - $20/hr

Job Type Full-time, Part-time Description We are seeking part to full time Greeters/Cashiers who ... problem solver to ensure our guests have the best possible experience. Previous cashier and money ...

Sir Grout

Tile and Grout Technician

Santa Rosa, CA · On-site

$23 - $30/hr

Problem-solver who can adapt on the job * Valid California driver's license with a clean record ... Competitive pay with performance bonuses * Full-time, stable schedule * Paid training and ...

Sir Grout

Tile & Grout Technician

Santa Rosa, CA · On-site

$23 - $30/hr

Problem-solver who can adapt on the job * Valid California driver's license with a clean record ... Competitive pay with performance bonuses * Full-time, stable schedule * Paid training and ...

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All JobsAmazon Problem Solver JobsFull Time Amazon Problem Solver JobsFull Time Amazon Problem Solver Jobs in Santa Rosa, CA

Full Time Amazon Problem Solver information

See Santa Rosa, CA salary details

$12K

$70K

How much do full time amazon problem solver jobs pay per year?

As of Jul 14, 2026, the average yearly pay for full time amazon problem solver in Santa Rosa, CA is $69,679.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,400.00 and $70,000.00 per year, depending on experience, location, and employer.

What are some common challenges Full Time Amazon Problem Solvers face and how can they effectively manage them?

Full Time Amazon Problem Solvers often encounter challenges such as rapidly resolving operational issues, balancing multiple tasks during peak periods, and communicating efficiently with associates and management. To manage these, strong organizational skills and adaptability are essential, as is staying calm under pressure. Effective Problem Solvers proactively prioritize tasks, maintain clear documentation, and foster positive teamwork to ensure smooth workflow and minimize disruptions in the fulfillment process.

Does Amazon have full-time positions?

Yes, Amazon offers full-time positions across various roles, including problem-solving and customer service jobs. These positions typically require working in a fast-paced environment and may involve skills such as problem-solving, communication, and familiarity with Amazon's tools and systems.

Will Amazon pay you $28 an hour to work from home?

Full Time Amazon Problem Solver roles typically pay around $15 to $20 per hour, depending on experience and location. While some remote customer service or problem-solving positions may offer higher pay, $28 an hour is above the standard rate for most such roles and may require specialized skills or additional responsibilities.

What does a Full Time Amazon Problem Solver do?

A Full Time Amazon Problem Solver is responsible for identifying and resolving issues on the warehouse floor to ensure smooth operations. Their tasks include troubleshooting workflow problems, providing support to associates, and helping maintain high productivity and safety standards. They often collaborate with managers and other teams to address bottlenecks, process defects, and inventory discrepancies. This role is critical in maintaining efficiency and meeting performance goals in Amazon fulfillment centers.

What is the difference between Full Time Amazon Problem Solver vs Full Time Amazon Customer Service Associate?

AspectFull Time Amazon Problem SolverFull Time Amazon Customer Service Associate
Required CredentialsHigh school diploma or equivalent; problem-solving skillsHigh school diploma or equivalent; customer service skills
Work EnvironmentOffice or remote; focus on troubleshooting and resolving issuesCall centers or online chat; assisting customers with inquiries
Employer & Industry UsageAmazon logistics, tech support, and operationsAmazon retail and customer support
Common Search & ComparisonProblem-solving, troubleshooting, technical supportCustomer service, support, inquiries

In summary, Full Time Amazon Problem Solvers focus on resolving technical and operational issues within Amazon, requiring strong problem-solving skills. In contrast, Full Time Amazon Customer Service Associates primarily handle customer inquiries and support, emphasizing communication skills. Both roles are essential in Amazon's service ecosystem but differ in daily tasks and skill requirements.

How much do problem solvers get paid at Amazon?

Full Time Amazon Problem Solvers typically earn an hourly wage ranging from $15 to $20, depending on experience and location. Compensation may also include benefits such as health insurance and paid time off, with roles often requiring problem-solving skills and familiarity with Amazon's systems.

What are the key skills and qualifications needed to thrive as a Full Time Amazon Problem Solver, and why are they important?

To thrive as a Full Time Amazon Problem Solver, you need strong analytical abilities, attention to detail, and experience in warehouse operations, often supported by a high school diploma or equivalent. Familiarity with Amazon’s warehouse management systems, handheld scanners, and safety protocols is typically required. Effective communication, teamwork, and adaptability are standout soft skills for resolving issues quickly and collaborating with diverse teams. These skills and qualities are crucial for maintaining operational efficiency, ensuring order accuracy, and supporting a safe and productive work environment.

What is the salary of problem solver in Amazon?

The salary for an Amazon problem solver varies depending on experience and location but typically ranges from $40,000 to $70,000 annually. The role may include performance-based bonuses and benefits such as health insurance and paid time off.
What are popular job titles related to Full Time Amazon Problem Solver jobs in Santa Rosa, CA? For Full Time Amazon Problem Solver jobs in Santa Rosa, CA, the most frequently searched job titles are:
What job categories do people searching Full Time Amazon Problem Solver jobs in Santa Rosa, CA look for? The top searched job categories for Full Time Amazon Problem Solver jobs in Santa Rosa, CA are:
What cities near Santa Rosa, CA are hiring for Full Time Amazon Problem Solver jobs? Cities near Santa Rosa, CA with the most Full Time Amazon Problem Solver job openings:
Full Time Amazon Problem Solver jobs near you
Infographic showing various Full Time Amazon Problem Solver job openings in Santa Rosa, CA as of July 2026, with employment types broken down into 4% Locum Tenens, 80% Full Time, 13% Part Time, 2% Contract, and 1% Summer. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $69,679 per year, or $33.5 per hour.
Forward Deployed Engineer (Rust)

Forward Deployed Engineer (Rust)

Spice AI

Bodega Bay, CA

$135K - $163K/yr

Full-time

Re-posted 29 days ago

Job description

Building data-driven AI applications and agents is too complex, even for advanced developers.

This new generation of applications need fast, secure access to data across disparate systems, the ability to search and reason over that data, and infrastructure that's reliable enough to run in production. Today, teams often need to piece together query engines, search systems, caches, and AI tooling, adding significant complexity along the way.

At Spice AI, we simplify this by unifying query federation, search, and AI into a single runtime for building intelligent applications. Our mission is to make building AI-powered software as easy building a modern web application and help developers build the next generation of applications. We offer both open source and fully managed cloud deployments.

For a deeper dive into the vision, watch Founder and CEO Luke Kim's CMU Databases talk on Spice.ai OSS at https://www.youtube.com/watch?v=tyM-ec1lKfU and read his Materialized View interview at https://materializedview.io/p/building-a-cdn-for-databases-spice-ai.

At Spice AI, we hire for MEI: Merit, Excellence, and Intelligence. We're looking for exceptional, ambitious builders who are driven to solve hard problems and push the boundaries of what's possible for AI.

This role requires a Forward Deployed Engineer to embed with customers and partners, accelerating adoption through direct engineering contributions. Responsibilities include deploying, optimizing, and extending Spice.ai solutions in production environments, while collaborating on product improvements.
 
If open source, distributed systems, and real-world search & AI deployment drive you, apply.
Who We Are Looking For
  • An exceptional engineer.
  • A problem solver who starts with customer problems and solves them with technology.
  • A thinker who challenges the status quo, rejects the current world model, and builds better for everyone.
  • A positive force who asks what's possible instead of focusing on limitations.
  • Someone who views work as meaningful, not just a job.
  • Comfortable with ambiguity and unknowns, leading by creating clarity.
  • Passionate about high performance with high standards.
What We're Looking For
  • 5+ years in engineering roles, with focus on deploying data, search, and AI systems in enterprise environments.
  • Experience designing, implementing, and scaling production database engines, distributed systems, search engines, and data & AI pipelines.
  • Track record of strong design, architectural, engineering, and product decisions in customer-facing contexts.
  • Excellent communication skills.
  • Ability to ramp up quickly and deliver impact.
  • Contributions to open-source projects preferred.
  • Experience with Apache infrastructure, CNCF stack, or cloud-native development.
  • Deep knowledge of databases, data warehousing, data lakes, search, virtualization, and mesh principles.
  • Proficiency with Databricks, Snowflake, Starburst, Dremio, ElasticSearch, or similar.
  • Strong SQL skills in queries, syntax, modeling, and optimizations.
  • Familiarity with data storage like HDFS, Amazon S3, and relational databases.
  • Skills in data integration, including ETL/ELT, ingestion, and transformation.
  • Ability to tune performance and optimize systems.
  • Knowledge of data security, privacy, authentication, authorization, and encryption.
  • Problem-solving for complex data challenges.
  • Presentation skills for technical and executive audiences.
  • Ability to explain concepts to technical and non-technical stakeholders.
  • Relationship-building with customers and partners.
  • Willingness to travel 20%+ based on customer needs.
In This Role, You'll
  • Embed with enterprise customers and partners to deploy Spice.ai OSS/Enterprise and Cloud Platform in production.
  • Build, configure, and optimize proof-of-concepts and deployments for performance, scalability, and security.
  • Collaborate with engineering to incorporate customer feedback into core product features.
  • Resolve technical blockers, debug issues, and extend Spice.ai capabilities on-site or remotely.
  • Design end-to-end architectures using Spice.ai for data querying, search, and AI inference.
  • Identify expansion opportunities and drive adoption of new features.
  • Work side-by-side with founders as a leader in customer success engineering.
  • Contribute to Spice.ai OSS improvements based on real-world usage.
  • Own initiatives to refine offerings and deliver superior developer experiences.
Your First 90 Days
  • First week: Deploy a Spice.ai instance for a customer scenario and fix a deployment issue.
  • First month: Ramp up, lead a POC deployment, and contribute optimizations to Spice.ai OSS.
  • 30-60 days: Take ownership of a customer deployment area, from architecture to production rollout.
  • 60-90 days: Propose and execute a technical strategy for scaling customer integrations.
About Spice AI

Founded in June 2021 by Microsoft and GitHub alumni Luke Kim and Phillip LeBlanc, Spice AI creates technology to help developers build intelligent applications and agents that learn and adapt.

Before co-founding Spice AI, Luke was the co-creator of Azure Incubations in the Office of the Azure CTO, where he led cross-functional engineering teams to create and develop technologies including Dapr and OAM.

Spice AI is backed by some of the top industry angel investors and leaders, including Nat Friedman, Mark Russinovich, CTO of Microsoft Azure, and Thomas Dohmke, CEO of GitHub, who is also on the board.

Spice AI also has notable VC backing from Madrona Venture Group, Basis Set Ventures, Founders' Co-op, and Picus Capital.

Learn more:

- On TechCrunch and GeekWire
- About the team at spice.ai/careers
- The Spice.ai general availability announcement blog post
- The Spice.ai OSS project announcement blog post
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.
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