AWS Technical Architect
NeuraFlashSalary not specified
Full Time
Senior (5 to 8 years), Expert & Leadership (9+ years)
Not SpecifiedCompensation
Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
N/AIndustries
Requirements
- Bachelor’s degree in Computer Science, Engineering, or related field
- 3–6 years of professional experience in software development and testing
- At least 2+ years of hands-on AWS experience delivering Amazon Connect solutions
- Strong debugging, problem-solving, and collaboration skills
- Ability to balance security, cost-effectiveness, and scalability in solution design
- Experience providing production support or on-call responsibilities preferred
- Amazon Connect: Contact flow design, Lambda/API integrations, Lex, Q in Connect, Evaluations
- AWS Cloud: Lambda, API Gateway, Lex, DynamoDB, S3, IAM, CloudWatch, CloudFormation, Q in Connect, Kinesis, Secrets Manager, CloudFront
- Python: Backend services for Lambda
- NodeJs: Backend services for Lambda
- JavaScript (React): Front-end development + UI testing
- Manual Testing: Test design, execution, defect tracking, and automation basics
- Preferred: Terraform: Infrastructure as Code for AWS
- Preferred: GitLab: Source control & CI/CD pipelines
- Preferred: Experience with CI-driven testing — integrating automated test execution into pipelines (e.g., GitLab CI/CD)
- Preferred: Exposure to Contact Lens, Kinesis, Athena, or QuickSight for analytics
- Preferred: Familiarity with Salesforce/CRM integrations
- Preferred: Experience with API testing tools (Postman)
Responsibilities
- Build and enhance Amazon Connect contact flows for calls and chat with Lambda, Lex, and third-party integrations
- Develop backend services in Python or Node.js
- Develop agent/customer interfaces in React (JavaScript)
- Integrate with AWS services (Lambda, API Gateway, Lex, DynamoDB, S3, IAM, CloudWatch, CloudFormation, Q in Connect, Kinesis, Secrets Manager, CloudFront)
- Contribute to IaC deployments using Terraform and GitLab CI/CD pipelines
- Create and execute manual test cases for Connect flows, APIs, and front-end applications
- Perform integration testing across AWS services, Connect flows, and external systems (e.g., CRM)
- Track, document, and resolve issues while collaborating with development and DevOps teams
- Ensure test coverage for security, scalability, and cost efficiency
- Provide L2/L3 support for Amazon Connect flows, APIs, and integrated applications
- Monitor logs, metrics, and alerts (CloudWatch, Kinesis, etc.) to ensure system stability and performance
- Troubleshoot and resolve production issues in collaboration with engineering and operations teams
- Document incidents, fixes, and best practices to improve knowledge sharing and reusability
- Participate in on-call rotations or scheduled support activities as required
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
What experience level is required for this role?
The position requires 3–6 years of professional experience in software development and testing, with at least 2+ years of hands-on AWS experience delivering Amazon Connect solutions.
What key technical skills are needed for this Amazon Connect Fullstack Developer role?
Required skills include Amazon Connect contact flow design with Lambda/API integrations and Lex, AWS services like Lambda, API Gateway, DynamoDB, backend development in Python or Node.js, front-end development in React (JavaScript), and manual testing.
Is remote work an option for this position?
This information is not specified in the job description.
What is the salary or compensation for this role?
This information is not specified in the job description.
What does ShyftLabs look for in a strong candidate?
ShyftLabs seeks candidates with a Bachelor’s degree in Computer Science or related field, strong debugging and problem-solving skills, collaboration abilities, experience balancing security, cost, and scalability, plus preferred skills in Terraform and production support.
ShyftLabs
Data-driven decision-making solutions for organizations
About ShyftLabs
ShyftLabs helps organizations adopt a data-first approach to their decision-making processes. Their services focus on establishing systems that enable companies to make quicker and more informed decisions based on data analysis. This approach allows businesses to gain insights that can keep them ahead of their competitors. Unlike other companies that may offer generic consulting services, ShyftLabs emphasizes the importance of data in driving decisions, ensuring that organizations can leverage their data effectively to enhance their strategic planning and operational efficiency.
None, CanadaHeadquarters
2018Year Founded
VENTURE_UNKNOWNCompany Stage
Data & Analytics, ConsultingIndustries
11-50Employees
Benefits
Health Insurance
Hybrid Work Options
Professional Development Budget
Risks
Increased competition from startups offering innovative, cost-effective solutions.
Growing demand for in-house analytics teams reducing reliance on consultants.
Rapid AI advancements may outpace ShyftLabs' current technology offerings.
Differentiation
ShyftLabs specializes in data governance, warehousing, and predictive analysis services.
The firm empowers organizations with a data-first approach for decision-making.
ShyftLabs establishes processes for faster, insightful decisions to outpace competition.
Upsides
Increased demand for data governance due to stricter privacy regulations.
Growing interest in predictive analytics in retail for inventory optimization.
Rising adoption of cloud-based BI tools among SMEs for cost-effectiveness.
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