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Amazon Computer Science Jobs in Chicago, IL (NOW HIRING)

Senior Semantic Web Engineer (Hybrid)

Chicago, IL · On-site

$126K - $166K/yr

Bachelor's or Master's degree in Computer Science, Information Technology, or a related STEM field ... Proven experience with graph databases or triple stores such as Amazon Neptune, Neo4j, Virtuoso, or ...

Senior Backend Java Engineer

Chicago, IL · On-site

$124K - $161K/yr

Bachelor's Degree Education/Experience Bachelor's degree in Computer Science, Software Engineering ... CloudFormation templates, deploying ECS clusters, Lambda, Fargate, Amazon Elastic Search Strong ...

New

IT Software Engineer 4

Chicago, IL · On-site

$53.25 - $73.25/hr

Strong experience with AWS CloudFormation, ECS, Lambda, Fargate, and Amazon Elasticsearch ... Strong computer science fundamentals, including data structures and algorithms Technical Skills

New

Java Developer

Chicago, IL · On-site

$52.50 - $68/hr

Bachelor's degree in Computer Science, Information Technology, or equivalent technical field * 5+ ... Amazon Web Services/AWS, Google Cloud, Microsoft Azure) * Strong programming skills in Java and ...

Java Developer

Chicago, IL · On-site

$52.50 - $68/hr

Bachelor's degree in Computer Science, Information Technology, or equivalent technical field * 5+ ... Amazon Web Services/AWS, Google Cloud, Microsoft Azure) * Strong programming skills in Java and ...

Data Engineer

Oak Brook, IL · On-site

$96K/yr

This position requires a Bachelor's degree in Data Engineering, Computer Science, or related ... Experience with data warehousing solutions like Amazon Redshift, Google BigQuery, or Snowflake.

Data Engineer

Oak Brook, IL · On-site

$96K/yr

This position requires a Bachelor's degree in Data Engineering, Computer Science, or related ... Experience with data warehousing solutions like Amazon Redshift, Google BigQuery, or Snowflake.

Senior Data Engineer

Chicago, IL

$109K - $148K/yr

Expertise in leading cloud technologies like Amazon Web Services * Ability to communicate technical ... Bachelor's in Computer Science, Computer Engineering or comparable experience Additional ...

Required : • Bachelor's degree in Computer Science, Engineering, or a related field • 3+ years ... including Amazon EKS • Strong expertise designing and managing cloud infrastructure on AWS ...

Comprehensive computer science fundamentals in coding, object-oriented programming, data structures ... Familiarity with Apache Hudi, Apache Beam, Apache Flink, Google Cloud Dataflow, Amazon Kinesis Data ...

Showing results 41-60

Amazon Computer Science information

See Chicago, IL salary details

$21K

$66K

$139.6K

How much do amazon computer science jobs pay per year?

As of Sep 13, 2026, the average yearly pay for amazon computer science in Chicago, IL is $65,962.00, according to ZipRecruiter salary data. Most workers in this role earn between $39,003.00 and $85,706.00 per year, depending on experience, location, and employer.

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 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 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.

Does Amazon hire computer science majors?

Yes, Amazon hires computer science majors for a variety of roles including software development, data engineering, and technical program management. Candidates typically need strong programming skills in languages like Java, Python, or C++, along with relevant coursework or experience in algorithms and systems design.

What are the most commonly searched types of Amazon Computer Science jobs in Chicago, IL?

The most popular types of Amazon Computer Science jobs in Chicago, IL are:

What are popular job titles related to Amazon Computer Science jobs in Chicago, IL?

For Amazon Computer Science jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Amazon Computer Science jobs in Chicago, IL look for?

The top searched job categories for Amazon Computer Science jobs in Chicago, IL are:

Infographic showing various Amazon Computer Science job openings in Chicago, IL as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 82% Full Time, 13% Part Time, 2% Contract, and 1% Nights. Highlights an 72% Physical, 1% Hybrid, and 27% Remote job distribution, with an average salary of $65,962 per year, or $31.7 per hour.

CCaaS x AI, Manager, Technical Transformation

Chicago, IL

Deloitte
Finance and Insurance • 10K+ employees

$119K - $120K/yr

Full-time

Re-posted 20 days ago


Key responsibilities

  • Lead the architecture, engineering, and delivery of cloud-based contact center and Generative AI solutions.

  • Design scalable AWS-based solutions and translate client requirements into technical architectures, integration designs, and secure cloud solutions.

  • Partner with stakeholders to resolve technical decisions, manage delivery risks, and support proposals and estimates.


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 93 frontline employees who took The Breakroom Quiz


Job description

CCaaS x AI Manager, Technical Transformation

Our Deloitte Sales & Service team empowers organizations to build deeper relationships with customers through innovative strategies, advanced analytics, Generative AI, transformative technologies, and creative design. We can enhance customer experiences and drive sustained growth and customer value creation and capture, through customer and commercial strategies, digital products and innovation, marketing, commerce, sales, and service. We are a team of strategists, data scientists, operators, creatives, designers, engineers, and architects. Our team balances business strategy, technology, creativity, and ongoing managed services to solve the biggest problems that affect customers, partners, constituents, and the workforce

Recruiting for this role ends on December 31, 2026.

Work you'll do

As a Technical Manager, you will lead the architecture, engineering, and delivery of cloud-based contact center and Generative AI solutions. You will work across business, functional, and technical stakeholders to design secure, scalable solutions using AWS and cross-platform CCaaS capabilities-from technical strategy and architecture through build, testing, deployment, and production support.

  • Lead technical delivery for CCaaS and Contact Center AI transformations, guiding teams from solution design and architecture through implementation, testing, deployment, and production support.
  • Design scalable AWS-based solutions using Amazon Connect, Lex, Bedrock, Lambda, API Gateway, S3, DynamoDB, and CloudWatch, incorporating Generative AI patterns such as RAG, agent/tool calling, knowledge grounding, and guardrails.
  • Translate client requirements into technical architectures, integration designs, delivery plans, testing strategies, and secure cloud solutions spanning CCaaS, CRM, WFM, analytics, knowledge management, and enterprise platforms.
  • Partner with client executives, architects, engineers, and operations leaders to resolve technical decisions, manage delivery risks, support proposals and estimates, and mentor Deloitte practitioners.

A successful candidate would possess these skills:

  •   Ability to work independently and collaborate as part of a team
  •   Effective written and verbal communication skills
  •   Meticulous attention to detail and quality of work product
  •   Ability to build and sustain professional relationship
  •   Ability to lead projects or workstreams
  •   Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  •   Strong interpersonal skills and professional demeanor
  •   Ability to meet deadlines
  •   Ability to provide clear guidance to others

The team

Our Sales & Service offering drives global customer transformation by designing and implementing innovative sales and service experiences. We blend strategy, technology, and creativity to solve complex challenges, bringing customer strategies to life and creating new markets.

Qualifications

Required

  • 8+ years of experience in technology consulting, software engineering, cloud architecture, or enterprise solution delivery, including 4+ years designing, building, deploying, and supporting AWS solutions in production.
  • Experience designing and implementing cloud-based contact center solutions using platforms such as Amazon Connect, Genesys, NICE CxONE, or Five9, including Generative AI capabilities such as LLMs, RAG, agent/tool calling, conversational AI, or automation.
  • Experience with AWS integration and cloud-native architectures, APIs, event-driven solutions, data flows, enterprise security controls, CI/CD, automated testing, source control, Agile/Scrum, and SDLC governance.
  • Bachelor's degree in Computer Science, Engineering, or equivalent work experience
  • Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available

Preferred

  • Production delivery experience with Amazon Connect, Amazon Lex, and Amazon Bedrock (including streaming patterns, security, monitoring/operations).
  • Experience implementing enterprise controls: IAM, network segmentation (VPC), secrets management (Secrets Manager/KMS), and observability (CloudWatch).
  • Cross-platform exposure to Google Gemini (API/Vertex AI) and/or Dialogflow, including tool calling, safety controls, quotas/limits, and platform trade-offs.
  • Experience leading Contact Center AI use cases end-to-end (design through adoption) and partnering with contact center operations leaders on change management and KPI realization.
  • Strong understanding of SDLC methodologies (Agile, SCRUM, RUP, other)

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $144,00 to $241,000.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

#Customer_US

#SS_US

 
Qualifications:

CCaaS x AI Manager, Technical Transformation

Our Deloitte Sales & Service team empowers organizations to build deeper relationships with customers through innovative strategies, advanced analytics, Generative AI, transformative technologies, and creative design. We can enhance customer experiences and drive sustained growth and customer value creation and capture, through customer and commercial strategies, digital products and innovation, marketing, commerce, sales, and service. We are a team of strategists, data scientists, operators, creatives, designers, engineers, and architects. Our team balances business strategy, technology, creativity, and ongoing managed services to solve the biggest problems that affect customers, partners, constituents, and the workforce

Recruiting for this role ends on December 31, 2026.

Work you'll do

As a Technical Manager, you will lead the architecture, engineering, and delivery of cloud-based contact center and Generative AI solutions. You will work across business, functional, and technical stakeholders to design secure, scalable solutions using AWS and cross-platform CCaaS capabilities-from technical strategy and architecture through build, testing, deployment, and production support.

  • Lead technical delivery for CCaaS and Contact Center AI transformations, guiding teams from solution design and architecture through implementation, testing, deployment, and production support.
  • Design scalable AWS-based solutions using Amazon Connect, Lex, Bedrock, Lambda, API Gateway, S3, DynamoDB, and CloudWatch, incorporating Generative AI patterns such as RAG, agent/tool calling, knowledge grounding, and guardrails.
  • Translate client requirements into technical architectures, integration designs, delivery plans, testing strategies, and secure cloud solutions spanning CCaaS, CRM, WFM, analytics, knowledge management, and enterprise platforms.
  • Partner with client executives, architects, engineers, and operations leaders to resolve technical decisions, manage delivery risks, support proposals and estimates, and mentor Deloitte practitioners.

A successful candidate would possess these skills:

  •   Ability to work independently and collaborate as part of a team
  •   Effective written and verbal communication skills
  •   Meticulous attention to detail and quality of work product
  •   Ability to build and sustain professional relationship
  •   Ability to lead projects or workstreams
  •   Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  •   Strong interpersonal skills and professional demeanor
  •   Ability to meet deadlines
  •   Ability to provide clear guidance to others

The team

Our Sales & Service offering drives global customer transformation by designing and implementing innovative sales and service experiences. We blend strategy, technology, and creativity to solve complex challenges, bringing customer strategies to life and creating new markets.

Qualifications

Required

  • 8+ years of experience in technology consulting, software engineering, cloud architecture, or enterprise solution delivery, including 4+ years designing, building, deploying, and supporting AWS solutions in production.
  • Experience designing and implementing cloud-based contact center solutions using platforms such as Amazon Connect, Genesys, NICE CxONE, or Five9, including Generative AI capabilities such as LLMs, RAG, agent/tool calling, conversational AI, or automation.
  • Experience with AWS integration and cloud-native architectures, APIs, event-driven solutions, data flows, enterprise security controls, CI/CD, automated testing, source control, Agile/Scrum, and SDLC governance.
  • Bachelor's degree in Computer Science, Engineering, or equivalent work experience
  • Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available

Preferred

  • Production delivery experience with Amazon Connect, Amazon Lex, and Amazon Bedrock (including streaming patterns, security, monitoring/operations).
  • Experience implementing enterprise controls: IAM, network segmentation (VPC), secrets management (Secrets Manager/KMS), and observability (CloudWatch).
  • Cross-platform exposure to Google Gemini (API/Vertex AI) and/or Dialogflow, including tool calling, safety controls, quotas/limits, and platform trade-offs.
  • Experience leading Contact Center AI use cases end-to-end (design through adoption) and partnering with contact center operations leaders on change management and KPI realization.
  • Strong understanding of SDLC methodologies (Agile, SCRUM, RUP, other)

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $144,00 to $241,000.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

#Customer_US

#SS_US

 
Education:Bachelor's DegreeEmployment Type:

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