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- Determine project requirements and developing work schedules for the team.
- Leading sprint calls and delegating tasks to achieve sprint goals.
- Communicate with team members, management, and client to ensure projects are completed to standard
- Effectively engage with the team to solve all surfacing problems at hand, pair program and/or perform code review
- Help the team solve complex problems by defining, designing, and prototyping solutions and take end-to-end ownership of major features and components: from inception to deployment.
- Design and develop highly available and scalable full-stack applications and services with monitoring and alerting.
- Experience with leading a team and exercising managerial skills.
- At-least 4 years of full-stack development experience.
- Backend web experience using languages such as Python, Django, .net etc.
- Frontend web experience using frameworks such as React, Angular, Vue, etc.
- 2+ years of experience with at least 1 CI/CD & code versioning tools (Jenkins, Concourse, Git, Bitbucket, etc.)
- Experience with at least one major cloud vendor (Google Cloud Platform, AWS, Azure, IBM).
- Experience with Docker.
- Experience with requirements gathering, technical scope, solution architecture, proposal writing and RFP responses.
- Experience on or with agile technology delivery teams.
- Must be a creative thinker and can recognize and solve problems by thinking outside the box
- Excellent written and verbal communication, project coordination, and possess a strong dedication to a teaming dynamic.
- Ability to quickly learn new technologies and write quality unit tests.
- Have a good understanding of concepts like design patterns, micro-service architecture etc.
- Experience with MLOps, DataOps.
- Experience with Kubernetes.
- Experience with ETL Pipelines like Airflow, Kubeflow, Luigi etc.
- Experience designing and building data-intensive solutions using distributed computing.
- Bachelor's degree in engineering, computer science or a related technical field work experience.
- Previous experience with a professional services organization.
- Previous experience evangelizing technologies and representing vendor solutions.
- Experience with Pythons machine learning libraries like numpy, scipy, scikit-learn etc.
- Experience with Jupyter notebooks.