Senior Software Engineer (Python Developer)

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.