Chelsoft Solutions Co.
AWS Python Developer_Costa Mesa, CA or Allen, TX_Local to CA or TX Needed_Only o
Chelsoft Solutions Co., Costa Mesa, California, United States, 92626
AWS Python Developer - Costa Mesa, CA or Allen, TX (Local to CA or TX) - Local to CA or TX Needed - Only on W2
Senior Software Engineer - Python
Hybrid - Costa Mesa, CA or Allen, TX 1 day/week
12+ month contract
R
equired Skills:
Amazon Web Services (AWS)
Deep understanding of cloud computing technologies and workload transition challenges, knowledge of AWS Well-Architected Framework
Strong experience with MLOps platforms such as AWS Sagemaker, Kubeflow, or MLflow.
Development experience using Python, Flask, Django, AsyncIO, etc.
Experience in monitoring the health of distributed systems and a strategy for error detection and recovery
Systems integration experience, including design and development of APIs, Real-Time Systems, and Microservices
Current cloud technology experience, preferably AWS (EKS, S3, RDS, Lambda, Aurora, ECS-Fargate ...etc.)
Demonstrable familiarity with CI/CD process, testing frameworks, and practices (CodeCommit, CodeDeploy, CodePipeline, Jenkins, Harness, etc.)
Experience integrating with async messaging, logging, or queues, such as Kafka, RabbitMQ, or SQS.
Responsibilities
What you’ll be doing: Partners with Architecture/Product/CloudOps/Engineering teams to craft highly scalable, flexible and resilient cloud architectures that address customer business problems and accelerate the adoption of cloud services.
Designs and implements complex architectural solutions using AWS design principles, best practices, and industry standards.
Build scalable, reliable, and cost-efficient ML pipelines using Python, AWS services (SageMaker, Lambda, Step Functions, S3, ECR, etc.), and container technologies (Docker, ECS/Fargate).
Lead technical design reviews, guide engineering teams on architectural best practices, and create high-level and low-level design documents.
Determines code quality and test coverage, designs and implements tests to make sure software is built to the highest quality possible.
Communicate and explain technical/architectural decisions to product, development, and delivery teams
Drive continual improvement in quality and efficiency, including defect prevention/root cause analysis, as well as suggest and adopt improvements to technology and efficiency.
Perform proof of concept work for integrating new technologies into the existing product.
Ability to comprehend detailed project specifications, as well as the ability to adapt to various technologies and simultaneously work on multiple projects.
Participates in reviews of software engineers’ code to deliver high-quality solutions.
Work closely with the product and actively participate in business requirement analysis.
Lead and mentor junior members of the team.
Research and implement performance tuning and enhancements to existing and newly developed systems to gain the most performance from the existing Infrastructure.
Knowledge, Experience & Qualifications
BS in Computer Science or related fields; MS preferred
8+ years’ experience in key engineering roles, such as technical lead, software engineer, and software architect.
5+ years’ experience using Amazon Web Services (AWS) to architect and deploy reliable, cost-effective, scalable, and secure cloud native solutions. Experience working in an agile / scrum environment
Deep understanding of cloud computing technologies and workload transition challenges, knowledge of AWS Well-Architected Framework, industry standards, and best practices
Strong experience with MLOps platforms such as AWS Sagemaker, Kubeflow, or MLflow.
Hands-on design and development experience using Python, Flask, Django, AsyncIO, etc.
Good understanding of distributed software applications, including system integration, testing, and troubleshooting
Experience in monitoring the health of distributed systems and a strategy for error detection and recovery
Systems integration experience, including design and development of APIs, Real-Time Systems, and Microservices
Current cloud technology experience, preferably AWS (EKS, S3, RDS, Lambda, Aurora, ECS-Fargate ...etc.)
Passionate to learn new frameworks, building new processes and procedures from scratch, and training the analysts on best practices.
Demonstrable familiarity with CI/CD process, testing frameworks, and practices (CodeCommit, CodeDeploy, CodePipeline, Jenkins, Harness, etc.)
Experience integrating with async messaging, logging, or queues, such as Kafka, RabbitMQ, or SQS.
Strong knowledge of software development process and project management methodologies.
Strong problem-solving and analytical skills.
Excellent communication and documentation skills with the ability to lead cross-functional initiatives.
Enjoy working in a dynamic, fast-moving, and challenging environment
Good team player and work with globally distributed teams.
Nice to have
Experience with monitoring and logging tools - Dynatrace, Splunk etc.
Experience with ML frameworks: TensorFlow, PyTorch, scikit-learn.
Experience with Kubeflow, MLflow, Airflow, or similar workflow orchestration tools.
Building automated and scheduled pipelines for analytical processes.
Seniority level
Mid-Senior level
Employment type
Contract
Job function
Engineering and Information Technology
Industries
IT Services and IT Consulting
Referrals increase your chances of interviewing at Chelsoft Solutions Co. by 2x
Huntington Beach, CA $75,000 - $90,000
Irvine, CA $120,000 - $250,000
#J-18808-Ljbffr
Amazon Web Services (AWS)
Deep understanding of cloud computing technologies and workload transition challenges, knowledge of AWS Well-Architected Framework
Strong experience with MLOps platforms such as AWS Sagemaker, Kubeflow, or MLflow.
Development experience using Python, Flask, Django, AsyncIO, etc.
Experience in monitoring the health of distributed systems and a strategy for error detection and recovery
Systems integration experience, including design and development of APIs, Real-Time Systems, and Microservices
Current cloud technology experience, preferably AWS (EKS, S3, RDS, Lambda, Aurora, ECS-Fargate ...etc.)
Demonstrable familiarity with CI/CD process, testing frameworks, and practices (CodeCommit, CodeDeploy, CodePipeline, Jenkins, Harness, etc.)
Experience integrating with async messaging, logging, or queues, such as Kafka, RabbitMQ, or SQS.
Responsibilities
What you’ll be doing: Partners with Architecture/Product/CloudOps/Engineering teams to craft highly scalable, flexible and resilient cloud architectures that address customer business problems and accelerate the adoption of cloud services.
Designs and implements complex architectural solutions using AWS design principles, best practices, and industry standards.
Build scalable, reliable, and cost-efficient ML pipelines using Python, AWS services (SageMaker, Lambda, Step Functions, S3, ECR, etc.), and container technologies (Docker, ECS/Fargate).
Lead technical design reviews, guide engineering teams on architectural best practices, and create high-level and low-level design documents.
Determines code quality and test coverage, designs and implements tests to make sure software is built to the highest quality possible.
Communicate and explain technical/architectural decisions to product, development, and delivery teams
Drive continual improvement in quality and efficiency, including defect prevention/root cause analysis, as well as suggest and adopt improvements to technology and efficiency.
Perform proof of concept work for integrating new technologies into the existing product.
Ability to comprehend detailed project specifications, as well as the ability to adapt to various technologies and simultaneously work on multiple projects.
Participates in reviews of software engineers’ code to deliver high-quality solutions.
Work closely with the product and actively participate in business requirement analysis.
Lead and mentor junior members of the team.
Research and implement performance tuning and enhancements to existing and newly developed systems to gain the most performance from the existing Infrastructure.
Knowledge, Experience & Qualifications
BS in Computer Science or related fields; MS preferred
8+ years’ experience in key engineering roles, such as technical lead, software engineer, and software architect.
5+ years’ experience using Amazon Web Services (AWS) to architect and deploy reliable, cost-effective, scalable, and secure cloud native solutions. Experience working in an agile / scrum environment
Deep understanding of cloud computing technologies and workload transition challenges, knowledge of AWS Well-Architected Framework, industry standards, and best practices
Strong experience with MLOps platforms such as AWS Sagemaker, Kubeflow, or MLflow.
Hands-on design and development experience using Python, Flask, Django, AsyncIO, etc.
Good understanding of distributed software applications, including system integration, testing, and troubleshooting
Experience in monitoring the health of distributed systems and a strategy for error detection and recovery
Systems integration experience, including design and development of APIs, Real-Time Systems, and Microservices
Current cloud technology experience, preferably AWS (EKS, S3, RDS, Lambda, Aurora, ECS-Fargate ...etc.)
Passionate to learn new frameworks, building new processes and procedures from scratch, and training the analysts on best practices.
Demonstrable familiarity with CI/CD process, testing frameworks, and practices (CodeCommit, CodeDeploy, CodePipeline, Jenkins, Harness, etc.)
Experience integrating with async messaging, logging, or queues, such as Kafka, RabbitMQ, or SQS.
Strong knowledge of software development process and project management methodologies.
Strong problem-solving and analytical skills.
Excellent communication and documentation skills with the ability to lead cross-functional initiatives.
Enjoy working in a dynamic, fast-moving, and challenging environment
Good team player and work with globally distributed teams.
Nice to have
Experience with monitoring and logging tools - Dynatrace, Splunk etc.
Experience with ML frameworks: TensorFlow, PyTorch, scikit-learn.
Experience with Kubeflow, MLflow, Airflow, or similar workflow orchestration tools.
Building automated and scheduled pipelines for analytical processes.
Seniority level
Mid-Senior level
Employment type
Contract
Job function
Engineering and Information Technology
Industries
IT Services and IT Consulting
Referrals increase your chances of interviewing at Chelsoft Solutions Co. by 2x
Huntington Beach, CA $75,000 - $90,000
Irvine, CA $120,000 - $250,000
#J-18808-Ljbffr