Python Engineer

Client is seeking a highly experienced Python Engineer to join our FSD Product Development team. This individual will lead the design and implementation of scalable, secure, and resilient big data and MLOps platforms and APIs. The ideal candidate will have extensive experience in AWS, Python, and MLOps frameworks, and will work closely with cross-functional teams to build platforms that support timely, accurate, and relevant data delivery across Client's products and services.Job Responsibilities:Collaborate with Architecture, Product, CloudOps, and Engineering teams to design scalable and flexible cloud architectures using AWSLead implementation of complex architectural solutions based on AWS design principles and best practicesBuild scalable, cost-efficient ML pipelines using Python, AWS SageMaker, Lambda, Step Functions, Docker, ECS/Fargate, and related toolsDrive architectural reviews, best practice implementation, and document design at both high and low levelsDefine and enforce code quality and test coverage standardsCommunicate architectural decisions across product and engineering teamsDrive continuous improvement and performance enhancements across systemsLead proof-of-concept projects for new technology integrationsMentor and guide junior team membersConduct system integration, monitor system health, and implement recovery strategiesParticipate in business requirement analysis and cross-functional discussionsEnsure software and infrastructure meet security and compliance requirementsRequired Skills:8+ years in engineering roles including software architect or technical lead5+ years of experience with AWS cloud services (EKS, Lambda, S3, RDS, Aurora, Fargate, etc.)Expertise in Python frameworks: Flask, Django, AsyncIOStrong hands-on experience with MLOps platforms (e.g., AWS SageMaker, Kubeflow, MLflow)Deep understanding of distributed software systems, APIs, microservices, and real-time systemsExperience in CI/CD (e.g., Jenkins, CodePipeline, Harness)Familiar with logging/messaging systems like Kafka, RabbitMQ, SQSWorking knowledge of monitoring tools and cloud performance tuningExcellent problem-solving, analytical, and communication skillsAbility to work with globally distributed teams in Agile/Scrum environments Preferred Skills:MS in Computer Science or related fieldExperience with ML frameworks: TensorFlow, PyTorch, Scikit-learnExperience with orchestration tools like Kubeflow, MLflow, AirflowFamiliarity with monitoring tools like Dynatrace, SplunkExperience building automated pipelines for analyticsKnowledge of AWS Well-Architected Framework and best practices Education:Bachelor's degree in computer science or related field; Master's degree preferredEmail ID * This field is required Please enter valid emailId.Cell phone * This field is required Please enter valid cell phone.First Name * This field is required Please enter valid first name.Last Name * This field is required Please enter valid last name. #J-18808-Ljbffr