At IBM work is more than a job - it's a calling:
To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate.
Not just to do something better but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so let's talk.
We are looking for an amazing Python Engineer for a role with a growth opportunity!
You will work in the domain of data observability platform for modern enterprises that's built by engineers for engineers.
Our mission is to help organizations build better data products and trust in their data. We do that by providing data teams comprehensive visibility into the health of their data pipelines using our SDK and complex monitoring and impact detection platform powered by AI Agents. Thanks to our deep monitoring they can gain confidence in their quality data and respond proactively to new issues.
We want you to join team and help us with building a product for fellow engineers using a cutting-edge technological stack and the highest engineering standards.
As a Python Engineer you will:
- Create a top-notch SaaS application for Data Engineers and Data Managers that monitors data reliability issues in their data pipelines.
- Build advanced cloud services using the latest SaaS technology.
- Build Python SDK integrating it with various data monitoring tools.
- Thoroughly learn and integrate with the most cutting-edge technologies in the data world such as DataStage StreamSet Snowflake Fivetran Airflow DBT Spark Control-M and more.
- Develop our cutting-edge automatic Alerting & Notification mechanism powered by AI Agents that detects data issues in real-time and collaborate with different stakeholders.
- Drive impact directly on business by working and collaborating with your team managers and peers in a stream-aligned team that is driven by clear business KPIs.
- Maintain an awesome engineering culture that emphasizes achieving business goals in a cutting-edge technologies environment.
- Experience in Python.
- Experience in backend engineering working on SaaS production systems
- Experience with massive SQL DBs and dealing with hard performance issues.
- Experience in working in a high industry standard CICD and development cycle processes.
- Experience with designing and implementing a microservices architecture system including different communication patterns such as REST API and event-driven messages.