Job Purpose and Impact The Senior Professional Platform Engineering job designs develops and maintains digital technology infrastructure to support information technology applications and services With minimal supervision this job collaborates with cross functional teams to define design and implement new features to meet user needs and business goals and upgrade existing platforms to improve performance and functionality through writing clean efficient and scalable code and troubleshooting and debugging complex issues This job also participates in code reviews to maintain high code quality and share knowledge with platform engineering team members Key Accountabilities SOFTWARE DEVELOPMENT Designs and develops high quality software solutions by writing clean maintainable and effective codes AUTOMATION Leads the application of internal software deployment platform continuous integration or continuous delivery pipeline and twelve factor development methodology to automate the deployment process ensuring smooth and reliable releases COLLABORATION Partners with cross functional team of product managers designers and other engineers to gather complex requirements and deliver solutions that meet business needs TESTING DEBUGGING Writes and maintains complex unit tests and integration tests and performs debugging to maintain the quality and performance of the software applying test driven development as needed CONTINUOUS IMPROVEMENT Recommends options for improving the software development and deployment processes and implements the approved standards to improve efficiency and reliability DOCUMENTATION Creates and maintains comprehensive documentation for complex software applications deployment processes and system configurations TECHNICAL SUPPORT Provides technical support and troubleshooting for complex issues with deployed applications to ensure minimal downtime and fast resolution Qualifications With more than 14 years of expertise in Information technology with a combination of Engineering and Architectural skills Proven experience designing scalable data architectures for batch and real-time processing Strong Data Engineering skills with SQL Python and modern data transformation tools e g dbt and Orchestration tools Airflow Glue Hands-on expertise with cloud platforms AWS preferred serverless and Infrastructure as Code Terraform CloudFormation Knowledge of modern data stacks Snowflake Databricks streaming technologies Kafka Flink and lakehouse components Iceberg Glue Experience with observability tools Datadog CloudWatch and building reliable monitored data systems Strong documentation mentoring and collaboration skills with an Agile mindset