Cloud Architect - AWS/Voice AI

Sogeti

Hartford (CT)

On-site

USD 125,000 - 165,000

Full time

14 days+

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Benefits offered by this job

Flexible work options
401(k) with 150% match
Employee Share Ownership Plan
Life Insurance
Tuition Reimbursement

Job summary

A leading technology services firm is seeking an experienced AWS Technical Architect to lead the design and delivery of AWS-based solutions. This role involves defining architecture, providing technical oversight, and managing integration points with a focus on enterprise-scale projects. Candidates should hold a relevant degree and possess strong expertise in AWS services and Terraform. The firm offers comprehensive benefits, including flexible work options and a competitive salary package ranging from $125,000 to $165,000.

Qualifications

  • Proven experience as an AWS Technical Architect in enterprise-scale projects.
  • Strong knowledge of AWS services and infrastructure as code.
  • Ability to manage integration points and long-range technology strategies.

Responsibilities

  • Define, design, and build the functional system and technical components.
  • Provide overall technical oversight and ensure solution delivery.
  • Act as the escalation point for technical issues.

Skills

AWS services expertise
HashiCorp Terraform
Excellent communication skills
Leadership skills

Education

Bachelor’s or Master’s degree in Computer Science or related field

Tools

Amazon Connect
Lambda
Step Functions
S3
IAM
CloudWatch
Lex
Polly
API Gateway
EventBridge
VPC
VPC Endpoints

Job description

About the job

About the job: We are seeking an experienced AWS Technical Architect to lead the design and delivery of an AWS-based Voice AI scheduling solution. This role involves defining architecture, ensuring technical health, and guiding development teams through the initial release phase and beyond.

Responsibilities
  • Define, design, and build the functional system and technical components.
  • Provide overall technical oversight and ensure solution delivery meets integration prerequisites.
  • Act as escalation point for technical issues and maintain project’s technical health.
  • Manage day-to-day technical tasks and ensure project schedule adherence.
  • Translate business requirements into scalable AWS solutions.
  • Oversee solution/code inspections and quality assurance.
Qualifications
  • Proven experience as an AWS Technical Architect in enterprise-scale projects.
  • Expertise in AWS services including: Amazon Connect, Lambda, Step Functions, S3, IAM, CloudWatch, Lex, Polly, API Gateway, EventBridge, VPC, VPC Endpoints
  • Strong knowledge of HashiCorp Terraform for infrastructure as code.
  • Ability to manage integration points and long-range technology strategies.
  • Excellent communication and leadership skills to guide developers and stakeholders.
Education

Bachelor’s or Master’s degree in Computer Science, Software Engineering, Information Systems, Business Administration, or a related field.

Life at Sogeti

Sogeti supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:

  • Flexible work options
  • 401(k) with 150% match up to 6%
  • Employee Share Ownership Plan
  • Life Insurance
  • Adoption, Surrogacy & Cryopreservation Assistance
  • Career Planning & Coaching
  • $5,250 Tuition Reimbursement & 20,000+ Online Courses
  • Employee Resource Groups
  • Counseling & Support for Physical, Financial, Emotional & Spiritual Well-being
  • Disaster Relief Programs
About Sogeti

Part of the Capgemini Group, Sogeti makes business value through technology for organizations that need to implement innovation at speed and want a local partner with global scale. With a hands-on culture and close proximity to its clients, Sogeti implements solutions that will help organizations work faster, better, and smarter. By combining its agility and speed of implementation through a DevOps approach, Sogeti delivers innovative solutions in quality engineering, cloud and application development, all driven by AI, data and automation.

Become Your Best | www.sogeti.us

Disclaimer

Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.

Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Click the following link for more information on your rights as an Applicant http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini.

Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is $125,000 - $165,000.

This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees.

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company’s sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.

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