AWS Cloud DevOps Engineer Python, Amazon Connect

Toronto - Canada

Monthly Salary: Not Disclosed

Experience Required: 5years

Posted on: 10 hours ago

Vacancies: 1 Vacancy

Job Summary

Work Type: Hybrid 1-2 days per week at customers office in Downtown Toronto or Waterloo

Top 3 Preferred Skills:

1. Contact Centre experience

2. Knowledge of financial and insurance industries

3. Eligibility for Reliability Status Clearance

Skills Required:

Cloud DevOps

Python Digital

Amazon Web Service (AWS) Cloud Computing.

Python Development need solid development experience.

Overall 10 years of experience.

AWS Services Lambda AWS APIs Java Amazon Connect S3 etc. need good hands-on experience

DevOps processes

Strong profiles with good experience in Amazon connect

Job Description:

Lead Software Engineer Job Description This role offers an exciting opportunity to shape the future of our contact centre technology and drive innovation at a global scale.

The successful candidate will play a pivotal role in transforming our engineering practices and delivering cutting-edge solutions that enhance our clients experience and operational efficiency.

We are looking for an experienced and high-performing Software Engineer with at least 7 years of software development experience.

This role will be instrumental in driving innovation implementing cloud capabilities and building GenAI solutions across our contact centres in Canada Asia and the US.

The ideal candidate has a passion for cutting-edge technologies and a proven track record of building large-scale complex software systems.

What you will do Participate in the design development and rollout of foundational cloud capabilities including Amazon Connect and other cloud-based solutions to enhance our contact centres capabilities. Collaborate with cross-functional teams to implement key software delivery cloud GenAI and DevOps processes.

Create and maintain technical design artifacts that describe application functionality solution designs data models interfaces and integrations.

Use and enhance our DevOps practices and tools to enforce software guardrails increase automation and help engineers build code faster at a lower cost and lower risk.

Contribute and adopt global software engineering reusable best practice processes.

Bachelor degree in computer science or a relevant field7 years of experience building large-scale multi-tier distributed software systems Deep expertise in cloud technologies particularly AWS services Hands-on expertise with Python Lambda functions APIs Java Contact Centre experience with hands on support and development experience with Amazon Connect (or relevant Cacaos)

Experience with DevOps culture tools and best practices (e.g. Bitbucket Ansible Jenkins CDD) Strong communication skills able to articulate complex technical concepts to both technical and non-technical stakeholders.

Ability to work and collaborate with cross-functional teams across multiple locations.

Strong problem-solving abilities and analytical skills with a keen eye for de-tail and the ability to assess alternatives risks and benefits.

Experience Required: 10 years

Required Skills:

Required Skills: Python Amazon Web Service (AWS) Cloud Computing Azure Machine Learning (ML)/Generative AI Essential Skills: Design and implement ML pipelines using AWS SageMaker including data preprocessing model training tuning and deployment. Develop and integrate Generative AI applications using AWS Bedrock and foundation models (e.g. Titan Claude Llama). Build APIs and microservices to expose ML models for consumption by applications. Optimize ML workflows for cost efficiency and scalability in AWS environments. Collaborate with data scientists and business stakeholders to translate requirements into technical solutions. Implement security best practices for ML models and data in AWS. Monitor and maintain deployed models ensuring performance and reliability. Hands-on experience with AWS SageMaker (training inference pipelines model registry). Strong knowledge of AWS Bedrock and generative AI concepts (LLMs prompt engineering). Proficiency in Python and ML frameworks (TensorFlow PyTorch Scikit-learn). Experience with AWS services Lambda API Gateway S3 IAM CloudWatch. Familiarity with MLOps practices and CI/CD pipelines for ML. Understanding of data engineering concepts and feature engineering. Excellent problem-solving and communication skills. Experience: 6-8 years

Work Type: Hybrid 1-2 days per week at customers office in Downtown Toronto or Waterloo Top 3 Preferred Skills:1. Contact Centre experience2. Knowledge of financial and insurance industries3. Eligibility for Reliability Status Clearance Skills Required: Cloud DevOps Py...