Software Engineer Python
Software Engineer Python
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1 Vacancy
Job Description
Role : Software Engineer
Location : Mountain View CA (5 days working)
Minimum Basic Requirements
- Python Proficiency: Write update and maintain Python frameworks and libraries to support data processing and integration tasks.
- Composer / Apache Airflow: Hands-on experience with Apache Airflow including updating DAGs managing multi-node rollouts and troubleshooting issues
- Code Management: Use Git and GitHub for source control code reviews and version management.
- GCP Proficiency: Extensive experience working with GCP services (e.g. Big Query Cloud Dataflow Pub/Sub Cloud Storage Monitoring). Knowledge of resource labeling and automation through SDKs or APIs.
- Software Engineering: Strong understanding of software engineering best practices including version control (Git) collaborative development (GitHub) code reviews and CI/CD.
- Problem-Solving: Excellent problem-solving skills with the ability to tackle complex data engineering challenges.
- Communication: Excellent stakeholder communication skills with the ability to interface directly with data scientists platform engineers and other clients to explain complex technical details coordinate rollouts triage issues and provide updates
- Bachelors or masters degree in computer science Engineering Computer Information Systems Mathematics Physics or a related field or software development training program
What youll do
- Develop and enhance Python frameworks and libraries to support cost tracking data processing data quality lineage governance and MLOps.
- Implement data processing optimizations to reduce the cost of our larger training data and features pipelines.
- Build scalable features and training data batch pipelines leveraging Big query Dataflow and Composer scheduler/executor framework on Google Cloud Platform.
- Implement monitoring logging and alerting systems to ensure the reliability and stability of our data and ml infrastructure and pipelines.
- Plan and oversee infrastructure rollouts including phased deployments validation and rollback strategies.
- Act as primary point of contact for Data Scientists ML Engineers and other stakeholders handling rollout coordination communications and issue resolution.
- Collaborate with ML Platform engineers to ensure seamless integration of updates into workflows.
- Document processes and changes providing clear runbooks and handoffs for ongoing support.
Preferred Requirements
- Python Mastery: Strong Python development background with demonstrated experience maintaining and extending production-grade SDKs or internal libraries
- Change Management: Experience with infrastructure rollout and change management including phased deployments validation and rollback strategies
- Resiliency: Comfortable working in fast-moving ML/AI platform environments where reliability transparency and client experience are key
- Batch Pipelines: Experience with building deploying and maintaining production batch pipelines processing and publishing petabytes of data.
Employment Type
Full-time
