Sr. AWS DevOps Engineer

Infosys•Raleigh, NC

About The Position

In the assigned Job Role of Technology Consultant 2, your Area Of Responsibility will be as below: ⦁ Contribute to the requirements elicitation process by documenting assigned parts of business requirements, in line with guidance provided ⦁ Facilitate software application design discussions, and document design decisions to guide the technical team towards building software solutions ⦁ Participate in coding and integrate new features or updates into existing applications, with a focus on maintaining system stability ⦁ Conduct code reviews, do changes to the codebase and maintain code repositories ⦁ Implement test strategies, analyse results, and coordinate bug fixes to uphold the software quality standards ⦁ Develop user training programs, documentation, and support frameworks to ensure a smooth transition to new software applications ⦁ Actively participate in resolving production issues and recommend preventive strategies to enhance system reliability ⦁ Maintain detailed records of code, testing techniques, and support activities to enrich the knowledge base and assist other similar projects Your contribution to the team: ⦁ A collaborative spirit and excellent communication skills. ⦁ The ability to handle end to end SDLC phases from requirement gathering to implementation. ⦁ A knack for translating complex requirements into actionable development tasks. ⦁ A passion for design and hands-on coding experience ⦁ A proactive approach to testing, troubleshooting, and refining our applications. ⦁ The ability to work with cross-functional teams and do software integration. Overview The Infosys Financial Services unit is a global leader in driving digital transformation for financial institutions. We specialize in leveraging advanced technologies such as AI, cloud, and data-led innovation to help our clients accelerate growth and unlock business value. Our AI-driven solutions empower financial institutions to make smarter decisions, enhance customer experiences, and achieve operational excellence. Join us to be part of a pioneering team that is at the forefront of financial services transformation. You'll have the opportunity to work with cutting-edge AI technologies, collaborate with industry experts, and contribute to transformative projects across banking, wealth management, and insurance sectors. If you're passionate about AI and eager to make a significant impact, the Infosys Financial Services unit is the perfect place for you to grow and excel.

Requirements

Experience in DevOps, cloud infrastructure, or platform engineering roles
Hands-on experience with AWS cloud services including EC2, S3, Lambda, VPC, IAM, ECS, EKS, RDS, and CloudWatch
Hands-on experience designing and managing CI/CD pipelines using Jenkins and GitLab for enterprise-scale application and data platform deployments
Hands-on experience with containerization using Docker and container orchestration using AWS ECS and EKS
Must have strong hands-on experience with Infrastructure as Code (IaC) using Terraform or CloudFormation for automated AWS infrastructure provisioning
Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply.

Nice To Haves

Experience in architecting and managing enterprise-grade CI/CD pipelines using Jenkins and GitLab for multi-environment deployments including dev, staging, and production across data and application platforms
Experience with AWS infrastructure automation using Terraform or CloudFormation with strong understanding of AWS Well-Architected Framework and cloud cost optimization
Experience with Docker containerization including image building, container registry management, and optimizing containerized workloads for data platforms on AWS ECS and EKS
Experience with Git-based source control workflows including branching strategies, merge request reviews, and repository management using GitHub, GitLab, or Bitbucket in enterprise environments
Experience in building and maintaining CI/CD pipelines and infrastructure automation specifically for data platforms including data ingestion, transformation, and analytics workloads on AWS
Experience with AWS EKS and ECS cluster management including task definitions, service scaling, Helm charts, Kubernetes RBAC, and node group management for containerized workloads
Experience with AWS data and analytics services such as Glue, EMR, Redshift, Athena, Kinesis, and Lake Formation integrated within DevOps automation pipelines preferred
Experience in implementing GitOps workflows using ArgoCD or Flux integrated with GitLab and Terraform for automated infrastructure and application deployments on AWS
Experience with AWS security and compliance including IAM policies, SCPs, AWS Config, Security Hub, GuardDuty, and secrets management using AWS Secrets Manager or HashiCorp Vault
Experience in monitoring and observability using CloudWatch, Prometheus, Grafana, or Datadog for proactive alerting, incident management, and pipeline health tracking
Experience with Jira and Confluence for Agile project tracking, sprint management, and DevOps workflow documentation in a Scrum delivery environment preferred
Experience with compliance and governance frameworks such as SOC2 or ISO 27001 enforced through Terraform policies and Jenkins/GitLab pipeline controls preferred

Responsibilities

Contribute to the requirements elicitation process by documenting assigned parts of business requirements, in line with guidance provided
Facilitate software application design discussions, and document design decisions to guide the technical team towards building software solutions
Participate in coding and integrate new features or updates into existing applications, with a focus on maintaining system stability
Conduct code reviews, do changes to the codebase and maintain code repositories
Implement test strategies, analyse results, and coordinate bug fixes to uphold the software quality standards
Develop user training programs, documentation, and support frameworks to ensure a smooth transition to new software applications
Actively participate in resolving production issues and recommend preventive strategies to enhance system reliability
Maintain detailed records of code, testing techniques, and support activities to enrich the knowledge base and assist other similar projects