About The Role

Job responsibilities

Design & build new applications utilizing leading edge technologies and modernize existing applications
Implement batch & real-time software components consistent with architectural best-practices of reliability, security, operational efficiency, cost-effectiveness and performance
Ensure quality of deployed code via automated unit, integration & acceptance testing
Collaborate with multi-national agile development, support and business teams to meet sprint objectives
Participate in all agile meetings & rituals, including daily standups, sprint planning, backlog reviews, demos, and retrospectives
Provide level 2 support for production systems
Learn and applies system processes, methodologies, and skills for the development of secure, stable code and systems
Hands on applicaitn development leveraging distributed compute such as Apache flink or Spark on very large datasets
Design and development of applications that leverage the AWS infrastructure d eploying software components on AWS using common compute and storage services such as EC2, EKS, Lambda, S3
Lead and deliver projects from concept to production across PNI (Personalization and Insights) platform

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 5+ years applied experience
Hands-on practical experience in Frameworks, system design, application development, testing, and operational stability
Experience with Apache Spark, Apache Flink or similar large-scale data processing engines
Experience with Distributed Datastores (e.g. Cassandra, Red Shift)
Experience designing, developing and deploying software components on AWS using common compute and storage services such as EC2, EKS, Lambda, S3
Experience with Big Data / Distributed / cloud technology (AWS Big data services like lambda, glue, glue emr, Performance tuning, Streaming, KAFKA, Entitlements etc., )
Experience with Apache Spark, Ray or similar large-scale data processing engines
Proficiency in automation and continuous delivery methods
Proficient in all aspects of the Software Development Life Cycle
Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, BigData, artificial intelligence, machine learning, mobile, etc.)

Preferred qualifications, capabilities, and skills

Experience building ETL/Feature processing pipelines
Experience using workflow orchestration tools—Airflow, Kubeflow etc.
Experience using Terraform to deploy infrastructure-as-code to public cloud
Experience with Linux scripting such as Bash, KSH, or Python
Certified AWS Cloud Practitioner, Developer or Solutions Architect strongly preferred