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Amazon Computer Science Jobs in Kentucky (NOW HIRING)

Bachelor's Degree in Computer Science or a related field. * 8 years of progressive information ... They leverage services like Vertex AI, Azure OpenAI, and Amazon Bedrock. Their expertise includes ...

Bachelor's Degree in Computer Science or a related field. * 8 years of progressive information ... They leverage services like Vertex AI, Azure OpenAI, and Amazon Bedrock. Their expertise includes ...

Bachelor's Degree in Computer Science or a related field. * 8 years of progressive information ... They leverage services like Vertex AI, Azure OpenAI, and Amazon Bedrock. Their expertise includes ...

... Amazon Web Services (AWS) and Azure Data Factory to enhance data engineering capabilities ... Management Information Systems, Computer and Information Science, Systems Engineering, Electrical ...

... Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical ... as S3, Amazon RDS, DynamoDB, Azure Data Lake Storage, Azure Cosmos DB, Azure SQL DB, GCP Cloud ...

Showing results 21-34

Amazon Computer Science information

See Kentucky salary details

$19.1K

$60K

$126.9K

How much do amazon computer science jobs pay per year?

As of Aug 8, 2026, the average yearly pay for amazon computer science in Kentucky is $59,975.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,463.00 and $77,927.00 per year, depending on experience, location, and employer.

What do Amazon Computer Science professionals do?

Computer Science professionals at Amazon often work on designing and optimizing large-scale software systems, developing new features for customer-facing applications, or improving backend infrastructure. Daily tasks might include writing high-quality code, reviewing peers’ code, participating in design discussions, and collaborating with cross-functional teams such as product managers, UX designers, and data scientists. You may also be expected to contribute to ongoing process improvements and explore innovative solutions for performance and scalability. The work is fast-paced and encourages creative problem-solving, giving professionals the chance to impact millions of customers globally.

What is an Amazon Computer Science?

An Amazon Computer Science job typically involves designing, developing, and optimizing software and systems that support the company's vast technology infrastructure. These roles can include software development, machine learning, data science, and cloud computing, among others. Employees work on scalable and innovative solutions for e-commerce, AWS, artificial intelligence, and logistics. Strong programming skills, problem-solving abilities, and knowledge of algorithms and data structures are essential.

What skills and qualifications are needed for an Amazon Computer Science position?

To thrive in an Amazon Computer Science role, you need a strong background in computer science principles, programming (such as Java, C++, or Python), and a relevant degree in computer science or a related field. Familiarity with Amazon Web Services (AWS), distributed systems, and possibly certifications like AWS Certified Solutions Architect are often beneficial. Strong analytical thinking, problem-solving abilities, and effective communication skills help you collaborate in Amazon's fast-paced, team-oriented environment. These competencies are vital for creating innovative solutions, scaling complex systems, and meeting the high-performance standards at Amazon.

What are popular job titles related to Amazon Computer Science jobs in Kentucky? For Amazon Computer Science jobs in Kentucky, the most frequently searched job titles are:
What job categories do people searching Amazon Computer Science jobs in Kentucky look for? The top searched job categories for Amazon Computer Science jobs in Kentucky are:
Infographic showing various Amazon Computer Science job openings in Kentucky as of August 2026, with employment types broken down into 76% Full Time, 8% Part Time, and 16% Contract. Highlights an 91% In-person, and 9% Remote job distribution, with an average salary of $59,975 per year, or $28.8 per hour.

Software Engineer, Data Infrastructure & Acquisition - Lexington, KY, USA

Speechify

Lexington, KY • On-site

$113K - $136K/yr

Other

This job post has expired today. Applications are no longer accepted.


Job description

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading - PDFs, books, Google Docs, news articles, websites - into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting - Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You'll Do

  • Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
  • Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
  • Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
  • Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team's dataset roadmap to power Speechify's next-generation consumer and enterprise products.

An Ideal Candidate Should Have

  • BS/MS/PhD in Computer Science or a related field.
  • 5+ years of industry experience in software development.
  • Proficiency with bash/Python scripting in Linux environments
  • Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
  • Experience with web crawlers, large-scale data processing workflows is a plus
  • Ability to handle multiple tasks and adapt to changing priorities.
  • Strong communication skills, both written and verbal.

What we offer

  • A fast-growing environment where you can help shape the company and product.
  • An entrepreneurial-minded team that supports risk, intuition, and hustle.
  • A hands-off management approach so you can focus and do your best work.
  • An opportunity to make a big impact in a transformative industry.
  • Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
  • Opportunity to work on a life-changing product that millions of people use.
  • Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
  • Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Compensation: The United States base salary range for this full-time position is $140,000-$200,000 + bonus + equity depending on experience

Think you're a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don't forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.