Hands-On Experience building solutions in AWS, including services such as EC2, S3, VPC, SNS, SQS, Lambda, Dynamo DB, RDS, Redshift, Glue etc.
Ability to create and utilize Terraform templates to automated creation of AWS images.
Experience in developing business solutions in Java, node, reactJS or DotNet languages.
Experience in setting up ALBs and Security Groups for the applications
Experience with DevOps tools such as Jenkins, Maven, GitLab, SonarQube in a cloud environment
Demonstrable skillset in scripting languages, e.g., Bash, PowerShell Demonstrable skillset in programming languages, preferably JavaScript or Python
A team player capable of high performance, flexibility in a dynamic working environment and the ability to lead.
Skill and ability to train others on technical and procedural topics
Bachelor’s Degree in Computer Science, Engineering or a related technical discipline recommended
5 years of related application engineering experience
AWS Certification in Developer is preferred.
2-5 years of demonstrated experience in designing and developing complex distributed IT solutions (e.g., cloud, distributed systems or high-performance computing experience)
Responsibilities:
Collaborate with product engineering teams to develop and deploy applications using Gitlab, Terraform, AWS services and methodologies
Analyze existing on-prem application architecture and develop cloud compatible solutions to migrate applications
Ability to develop applications and deploy in AWS cloud in multi-region, multi-AZ distributed systems
Envision, Design and Build end-to-end Observability for Applications running on AWS Platform
Ability to leverage Terraform and contribute new Terraform templates for reuse across organization
Ensure security is integrated into all cloud architecture solutions
Develop and migrate mission critical services and build automation to proactively detect and prevent re-occurrences
Have full oversight into changes going into production, asset tagging, cost and capacity analysis, vulnerability, and patch management
Define auto-scaling processes for optimizing service and compute utilization
