Job Description:

Job Description Summary

As a Sr. Software Engineer in Inspection management space, you will help in creating

• AWS Based Solution to ingest, store, annotate & catalog inspection data which are in form of images & videos to enable AI on them
• Cloud native AWS Solution to enable ingestion of inspection data with its metadata from multiple devices
• Develop, test & deploy AWS service components to create an ingestion pipeline to load s3, RDS and elastic search clusters
• AWS DevOps & ML-Ops pipeline development to automate deployment of SW, AI models, their versioning & cataloging of staged datasets

Operate in Agile framework, creating user stories and tasks from customer requirements to track project progress

Collaborate with Architects, developers, and QA to deliver high quality deliverable using secure SDLC

 Qualifications/ Requirements:

• Bachelor's Degree in Computer Science, Information Technology or equivalent (STEM)

• Minimum of 8 years of IT experience

• At least 3 years of experience in Java

• Hands-on experience with few AWS services - S3/Event-Bridge/ECSFargate/Lambda/SNS/SQS/Redshift/AWS-CICD/Step Functions/ALB/Elastic Search

• Hands-on experience in writing SQL scripts for PostgreSQL, Big data, Hadoop, RDS or Hive

• Exposure to unstructured datasets & ability to handle XML, JSON, image, video file formats

• Experience In microservices development

• Ability to understand logical & physical data models, big data storage architecture, data modeling methodologies, metadata management, master data management & data lineage techniques

Leadership skills:

• Partner with other team members to understand the project objectives and resolve technical issues.

• Communicate project status or challenges in a clear and concise manner to the cross-team members

Desired Characteristics

• Experience with AWS DevOps Processes to automate development, deployment and testing

• Excellent written and verbal communication skills, especially with story owners

• Self-driven to learn new technology’s and build technical skill sets.

• Experience with Agile project delivery frameworks