DevOps Engineer

What will your job look like?

Key Responsibilities
•    Design, develop, and lead the creation of high-quality go-to-market technical solutions under the direction of the Service Line Product Owner and Principal Engineer.
•    Enable the Amdocs Cloud Studio  to rapidly demonstrate, deploy, and integrate solutions in client environments.
•    Collaborate in an agile environment with a Scrum Master, influencing roadmaps,  backlogs and engineering task assignment 
•    Advocate technical best practices by developing standards, promoting efficiencies, and collaborating across R&D service line teams.
•    Serve as Squad Leader, managing a small team of R&D Engineers, including day-to-day oversight, career development, mentorship, and alignment with other squad leads on leadership processes

All you need is...

 Required Skills
You must have 4–6 years of proven, demonstrable experience in a senior technical role, implementing the following core technologies and methodologies.
 
Technical Skills
•    Strong understanding of platform engineering concepts and methodologies.
•    Cloud and Solution Architecture: Ability to translate high-level reference architectures into detailed technical component designs for implementation by engineering teams.
•    AWS Services Expertise: VPC, IAM, EKS, ALB, KMS, S3, EBS, ASG, EC2, RDS, CloudShell, SSM, Route 53, DynamoDB, Lambda, CloudWatch, EKS and emerging AI services including Q Developer, Bedrock
•    Solid knowledge of AWS security principles aligned with large enterprise standards.
•    Infrastructure as Code (IaC): Proficient in Terraform for development, deployment, and testing, including branch-based deployment patterns.
•    CI/CD for IaC: Experience with GitHub workflows and actions and ArgoCD for Kubernetes based applications
•    Version Control: Skilled in Git (branching strategies, pull requests, conventional commits, semantic versioning, commit hooks).
•    Familiarity with automated code testing and validation frameworks.
•    Strong scripting skills (preferably Python) for automation.
•    Awareness of GenAI coding assistants (e.g., Amazon Q, GitHub Copilot).