Software Engineer

The Product team forms the crux of our powerful platforms and connects millions of customers to the product magic. This team of innovative thinkers develop and build products that help Epsilon be a market differentiator. They map the future and set new standards for our products, empowered with industry best practices, ML and AI capabilities. The team passionately delivers intelligent end-to-end solutions and plays a key role in Epsilon’s success story.

Why we are looking for you:

• You create AWS/Azure/GCP cloud-based infrastructure through Infrastructure as code (IaC)
• You deploy applications in client facing production environments
• You have passion to create automation to eliminate manual repetitive steps
• You have demonstrated creating predictive tools using AI/ML for cloud cost optimization
• You enhance our reputation by accepting ownership for unique requests
• Keenly explore opportunities to add value to assigned tasks

What you will enjoy in this role:

• Own end to end lifecycle management of client facing cloud infrastructure and application deployment for multiple digital marketing products
• Site Reliability Engineering, OS Patching, Vulnerability mitigation including Zero-day
• Collaborate with Product, Delivery, Support & Onboarding teams using industry standard Cloud-DevOps-Kanban practice
• An innovative team that’s not afraid to take risks, to enable faster time to market
• Collaborate with internal stakeholders to overcome blockers & keep lights on for customers
• Estimating AWS usage costs and identifying cost control mechanisms

What you will do:

• Work with IaC tools (Terraform, Ansible) & Amazon Web Services (AWS) of Compute, Storage, Serverless & Networking
• Automate manual repetitive steps & eliminate daily toil for the team
• Implement automation using CI/CD pipeline tools like GoCD
• Manage data Infrastructure such as Oracle / Redshift / EMR
• Use knowledge of Unix administration & networking with knowledge of SSO, SSL & LDAP
• Perform troubleshooting with K-ELK stack & Infrastructure monitoring
• Employ AI/ML Ops skills to create automation tooling

Requirements

• Bachelor’s degree or equivalent in computer science
• 3+ years of experience in supporting production web applications in a systems/ DevOps /network engineering capacity
• 1+ years of experience in AWS Cloud Infrastructure / Automation with proficiency in at least 1 scripting language like Python/Bash/Php
• Certification in AWS SysOps / Azure administrator, RHCE/RHCSA would be a plus