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Senior Software Engineer (Python Developer)

Jobs via Dice, Costa Mesa, California, United States, 92626

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Senior Software Engineer (Python Developer)

Senior Software Engineer (Python Developer)

1 day ago Be among the first 25 applicants Get AI-powered advice on this job and more exclusive features. Dice is the leading career destination for tech experts at every stage of their careers. Our client, Caspex Corporation, is seeking the following. Apply via Dice today!

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

What your background looks like:

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

Seniority level Mid-Senior level Employment type

Employment type Full-time Job function

Job function Engineering and Information Technology Industries Software Development Referrals increase your chances of interviewing at Jobs via Dice by 2x Sign in to set job alerts for “Senior Software Engineer” roles.

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