Chelsoft Solutions Co.
Python/AWS Engineer_only on W2_only 10yrs exp
Chelsoft Solutions Co., Costa Mesa, California, United States, 92626
Overview
Python/AWS Engineer with 10+ years of experience. Hybrid role in Costa Mesa, CA or Allen, TX (local only). 12+ month contract. Responsibilities
Partner with Architecture/Product/CloudOps/Engineering teams to craft scalable, flexible, and resilient cloud architectures addressing customer business problems and accelerating cloud service adoption. Design and implement 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. Determine code quality and test coverage; design and implement tests to ensure high quality software. 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, 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 and adapt to various technologies while working on multiple projects. Participate in reviews of software engineers' code to deliver high-quality solutions. Work closely with product teams and participate in business requirement analysis. Lead and mentor junior team members. Research and implement performance tuning and enhancements to existing and newly developed systems to maximize infrastructure performance. Knowledge, Experience & Qualifications
BS in Computer Science or related field; MS preferred. 8+ years' experience in key engineering roles (technical lead, software engineer, software architect). 5+ years' experience using AWS to architect and deploy reliable, cost-effective, scalable, and secure cloud-native solutions. Experience in an agile/scrum environment. Deep understanding of cloud technologies, 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. Strong knowledge of distributed software applications, testing, and troubleshooting; experience with API design and system integration. Experience monitoring the health of distributed systems and strategies for error detection and recovery. Systems integration experience including Real-Time Systems and Microservices; current AWS experience (EKS, S3, RDS, Lambda, Aurora, ECS-Fargate). Commitment to learning new frameworks, building processes, and training analysts on best practices. Familiarity with CI/CD processes and tooling (CodeCommit, CodeDeploy, CodePipeline, Jenkins, Harness, etc.). Experience integrating with async messaging/queues (Kafka, RabbitMQ, SQS). Strong communication and documentation skills; ability to lead cross-functional initiatives. Ability to work in a dynamic, fast-moving, challenging environment and collaborate with globally distributed teams. Nice to have
Experience with monitoring and logging tools (Dynatrace, Splunk). 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. Employment details
Seniority level: Mid-Senior level Employment type: Full-time Job function: Engineering and Information Technology Industries: IT Services and IT Consulting
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Python/AWS Engineer with 10+ years of experience. Hybrid role in Costa Mesa, CA or Allen, TX (local only). 12+ month contract. Responsibilities
Partner with Architecture/Product/CloudOps/Engineering teams to craft scalable, flexible, and resilient cloud architectures addressing customer business problems and accelerating cloud service adoption. Design and implement 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. Determine code quality and test coverage; design and implement tests to ensure high quality software. 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, 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 and adapt to various technologies while working on multiple projects. Participate in reviews of software engineers' code to deliver high-quality solutions. Work closely with product teams and participate in business requirement analysis. Lead and mentor junior team members. Research and implement performance tuning and enhancements to existing and newly developed systems to maximize infrastructure performance. Knowledge, Experience & Qualifications
BS in Computer Science or related field; MS preferred. 8+ years' experience in key engineering roles (technical lead, software engineer, software architect). 5+ years' experience using AWS to architect and deploy reliable, cost-effective, scalable, and secure cloud-native solutions. Experience in an agile/scrum environment. Deep understanding of cloud technologies, 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. Strong knowledge of distributed software applications, testing, and troubleshooting; experience with API design and system integration. Experience monitoring the health of distributed systems and strategies for error detection and recovery. Systems integration experience including Real-Time Systems and Microservices; current AWS experience (EKS, S3, RDS, Lambda, Aurora, ECS-Fargate). Commitment to learning new frameworks, building processes, and training analysts on best practices. Familiarity with CI/CD processes and tooling (CodeCommit, CodeDeploy, CodePipeline, Jenkins, Harness, etc.). Experience integrating with async messaging/queues (Kafka, RabbitMQ, SQS). Strong communication and documentation skills; ability to lead cross-functional initiatives. Ability to work in a dynamic, fast-moving, challenging environment and collaborate with globally distributed teams. Nice to have
Experience with monitoring and logging tools (Dynatrace, Splunk). 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. Employment details
Seniority level: Mid-Senior level Employment type: Full-time Job function: Engineering and Information Technology Industries: IT Services and IT Consulting
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