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Entry Level Aws Python Developer Jobs in Quebec (NOW HIRING)

H2O.ai partners include Dell Technologies, Deloitte, Ernst & Young (EY), NVIDIA, Snowflake, AWS ... Knowledge of Python would be beneficial in this area * The company uses Kubernetes widely and ...

New

Le clean code , le DevOps et l'agilite sont des principes fondateurs qui nous permettent de livrer ... AWS: Bedrock, Lambda, Fargate, EventBridge, SQS, DynamoDB, S3 * Langages: TypeScript, Python, Java

Le clean code , le DevOps et l'agilité sont des principes fondateurs qui nous permettent de livrer ... AWS: Bedrock, Lambda, Fargate, EventBridge, SQS, DynamoDB, S3 * Langages: TypeScript, Python, Java

Strong skills in software development or data engineering , using Python or Rust * Experience ... Practical knowledge of cloud environments and containerized systems (Kubernetes, ArgoCD, AWS ...

Platform Engineer

Montreal, QC · On-site

CA$100K - CA$160K/yr

Qualifications & Skills: * 4 to 7 years of experience as a DevOps/SRE/Platform engineer * Extensive ... AWS cloud experience * Experience with Infrastructure-as-Code tooling * Experience with Python ...

Deep, production-level experience in Python (3.11+), building microservices with frameworks like ... cloud environment (AWS/GCP). * Applied AI Systems: 1+ years of hands-on experience building ...

Favoriser l'adoption de pratiques modernes (observabilite, automation, DevOps) * Participer ... Connaissance approfondie des environnements AWS * Maitrise de Python (ou langage equivalent)

... AWS, notamment Amazon S3 et IAM . * Experience dans le developpement de tests automatises en Python ... Partner with developers to define effective testing strategies for new backend services and ...

... SQL, Python, and dbt-shipping reliable ELT/transformations, owning quality and performance in ... AWS: 2+ years of experience with AWS cloud services. * Data Governance: A solid understanding of ...

Showing results 41-60

Entry Level Aws Python Developer information

What does an entry level AWS Python developer do?

An Entry Level AWS Python Developer is responsible for building and maintaining applications using the Python programming language on Amazon Web Services (AWS) cloud infrastructure. They often work on automating cloud processes, writing scripts, deploying code, and integrating AWS services. These developers help optimize cloud resources, troubleshoot issues, and support teams in developing scalable, cloud-native solutions. Although entry level, the role requires a foundation in Python, basic understanding of AWS services, and eagerness to learn more advanced cloud development concepts.

What are the key skills and qualifications needed to thrive as an entry level AWS Python developer?

To thrive as an Entry Level AWS Python Developer, you need a solid understanding of Python programming, cloud computing fundamentals, and basic knowledge of AWS services, often supported by a relevant degree or coursework. Familiarity with tools like AWS Lambda, EC2, S3, and foundational certifications such as AWS Certified Cloud Practitioner are commonly required. Strong problem-solving, eagerness to learn, and effective communication skills help you adapt to evolving technologies and collaborate on teams. These skills and qualities are vital for building reliable cloud solutions and contributing effectively to development projects in dynamic environments.

What are some common challenges faced by entry level AWS Python developers when working in cloud-based environments?

Entry-level AWS Python Developers often encounter challenges related to configuring cloud resources securely, managing permissions with AWS Identity and Access Management (IAM), and understanding the integration of Python applications with AWS services like Lambda, S3, and DynamoDB. Adapting to the fast-paced, collaborative nature of cloud development teams can also be demanding, as it requires clear communication and a willingness to continuously learn new AWS services and best practices. However, these challenges are excellent opportunities for rapid skill growth and gaining hands-on experience with modern cloud technologies.

What is the difference between Entry Level Aws Python Developer vs Entry Level Cloud Support Engineer?

AspectEntry Level Aws Python DeveloperEntry Level Cloud Support Engineer
Required CredentialsAWS certifications, Python knowledgeAWS certifications, basic scripting skills
Work EnvironmentDevelopment, coding, cloud application deploymentSupport, troubleshooting, customer interaction
Industry UsageTech companies, startups, cloud service providersIT services, cloud providers, enterprise support

Both roles often require AWS certifications and familiarity with cloud platforms. The Entry Level Aws Python Developer focuses on coding, developing cloud applications, and automation using Python, while the Entry Level Cloud Support Engineer emphasizes troubleshooting, customer support, and maintaining cloud services. The choice depends on whether you prefer development or support roles within the cloud industry.

What are popular job titles related to Entry Level Aws Python Developer jobs in Quebec?

For Entry Level Aws Python Developer jobs in Quebec, the most frequently searched job titles are:

What job categories do people searching Entry Level Aws Python Developer jobs in Quebec look for?

The top searched job categories for Entry Level Aws Python Developer jobs in Quebec are:

What cities in Quebec are hiring for Entry Level Aws Python Developer jobs?

Cities in Quebec with the most Entry Level Aws Python Developer job openings:

Customer Support Engineer

h2o.ai

Montreal, QC • On-site

Full-time

Posted 2 days ago

New


Job description

Founded in 2012, H2O.ai is on a mission to democratize AI. As the world’s leading agentic AI company, H2O.ai converges Generative and Predictive AI to help enterprises and public sector agencies develop purpose-built GenAI applications on their private data. Its open-source technology is trusted by over 20,000 organizations worldwide - including more than half of the Fortune 500 - H2O.ai powers AI transformation for companies like AT&T, Commonwealth Bank of Australia, Singtel, Chipotle, Workday, Progressive Insurance, and NIH.
H2O.ai partners include Dell Technologies, Deloitte, Ernst & Young (EY), NVIDIA, Snowflake, AWS, Google Cloud Platform (GCP) and VAST. H2O.ai’s AI for Good program supports nonprofit groups, foundations, and communities in advancing education, healthcare, and environmental conservation. With a vibrant community of 2 million data scientists worldwide, H2O.ai aims to co-create valuable AI applications for all users.
H2O.ai has raised 256 million from investors, including Commonwealth Bank, NVIDIA, Goldman Sachs, Wells Fargo, Capital One, Nexus Ventures and New York Life. 
About This Opportunity
H2O.ai is at the forefront of the rapidly evolving MLOps landscape. We're leveraging MLOps to transform machine learning models from isolated, engineer-specific tools into robust, cloud-native services that are scalable and consistently available. Our approach is firmly rooted in Kubernetes, positioning our team at the cutting edge of cloud solutions.
We are looking for a Customer Support  Engineer to be part of the MLOps team supporting PST time zone that is entrusted with developing a platform for deploying machine learning models, monitoring them and provide statistical analysis on the deployed models as they are used in real-time. We are looking for individuals with a strong foundation in software engineering, a passion for cutting-edge technologies, and a drive to push the boundaries of MLOps.
This position is based in Montreal, Canada
What You Will Do

  • Engage with customers to identify and troubleshoot issues they face and answer technical questions.
  • Analyze bug reports, reproduce issues, determine the root cause, and provide fixes.
  • Provide design for new features focusing on the approach and patterns to solve the problem.
  • Responsible for writing code along with relevant unit test cases.
  • Contribute to end-to-end automated tests by ensuring that the newer changes have relevant test cases. Knowledge of Python would be beneficial in this area
  • The company uses Kubernetes widely and working with Kubernetes would be an important aspect of the job.
  • Review the design and code of other developers. Be engaged in the best software development practices and engage in improving the engineering efficiency of the team.
  • Write Infrastructure Code using Terraform and Helm charts for any changes to infrastructure.

What We Are Looking For

  • Bachelor’s or a higher education degree in Computer Science/Engineering or related field.
  • Proven experience in Software Engineering with a minimum of 1 year of hands-on experience in a similar role.
  • Understanding of microservices patterns and strong design skills for large scale software development projects.
  • Strong knowledge of Linux operating systems, Bash, file systems, command line, logging, and Linux file permissions.
  • Experience in GoLang, Python, C++, or Java (with a knowledge of Spring framework).
  • At least 1 year of hands-on experience with Kubernetes and Docker.
  • Knowledge of Relational Database Design.
  • An understanding of Terraform and Helm.
  • Hands-on experience with AWS, Azure, or GCP.
  • Understanding of networking concepts and fundamentals (e.g. SSL, UDP/TCP, firewalls, and reverse proxies).
  • Strong communication skills and comfortable being in a customer facing role.

How to Stand Out From the Crowd

  • Experience with gRPC.
  • Experience with Scala and Akka.
  • Experience with Druid Database.
  • Understanding of mainstream machine Machine Learning frameworks such as sklearn, pytorch and data science libraries like numpy and pandas.

Why H2O.ai?

  • Market leader in total rewards
  • Remote-friendly culture
  • Flexible working environment
  • Be part of a world-class team
  • Career growth
  • Base salary range: CAD 80,000 - 100,000

H2O.ai is committed to creating a diverse and inclusive culture. All qualified applicants will receive consideration for employment without regard to their race, ethnicity, religion, gender, sexual orientation, age, disability status or any other legally protected basis.
H2O.ai is an innovative AI cloud platform company, leading the mission to democratize AI for everyone. Thousands of organizations from all over the world have used our cutting-edge technology across a variety of industries. We’ve made it easy for people at all levels to generate breakthrough solutions to complex business problems and advance the discovery of new ideas and revenue streams. We push the boundaries of what is possible with artificial intelligence.
H2O.ai employs the world’s top Kaggle Grandmasters, the community of best-in-the-world machine learning practitioners and data scientists. A strong AI for Good ethos and responsible AI drive the company’s purpose.
Please visit www.H2O.ai to learn more.
#LI-Remote

For information about how H2O.ai collects, uses, and protects your personal information during the recruitment process, please review our Candidate Privacy Notice.

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About H2O.ai

Sourced by ZipRecruiter

Industry

Software development

Company size

11 - 50 Employees

Headquarters location

Mountain View, CA, US

Year founded

2012

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