Python Engineer

Senior Software Engineer - Python Developer

Hybrid - Costa Mesa CA or Allen TX (1-2 days per month on-site)

2-3 Years Contract

Required Skills : We need Senior level candidates with core software engineering expertise in Python. This is a Senior Python Developer role with a focus on API development and real-time experience. We are not looking for data engineering focused candidates. Please target candidates with 10 years of experience and who come from very large companies. Some companies to target for qualified resources would be : PayPal Meta Intuit Netflix

Responsibilities

What youll 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.

Key Skills

APIs,Docker,Jenkins,REST,Python,AWS,NoSQL,MySQL,JavaScript,Postgresql,Django,GIT

Employment Type : Full-time

Experience : years

Vacancy : 1