Consultant-DevOps( AWS)
About The Client:
Niveus Solutions, an award-winning cloud engineering services organization & Google Cloud Partner, empowers enterprises to harness the power of cloud services and build resilient infrastructures that scale. Niveus specializes in application, infrastructure, & data modernization, data management, cloud consulting, security, & managed services.
About The Job:
- Minimum Experience : 5.1
- Maximum Experience;: 8
- Amazon Web Services (AWS), Infrastructure as Code (Terraform/CloudFormation/AWS CDK), CI/CD & GitOps (Jenkins/GitHub Actions/ArgoCD), Docker & Kubernetes (Amazon EKS/ECS), Python/Bash Automation Scripting
- Amazon-Web-Services-(AWS),-Infrastructure-as-Code-(Terraform/CloudFormation/AWS-CDK),-CI/CD-&-GitOps-(Jenkins/GitHub-Actions/ArgoCD),-Docker-&-Kubernetes-(Amazon-EKS/ECS),-Python/Bash-Automation-Scripting
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Experience
- 5.1 to 8 Years
- We are seeking a highly skilled AWS Cloud Specialist - DevOps (Lead Level) to join our engineering team and drive the design, automation, and optimization of our AWS infrastructure and delivery pipelines.
- The ideal candidate will bring 5.1 to 8 years of experience in cloud engineering and DevOps practices, with deep expertise in building scalable, secure, and highly available systems natively on Amazon Web Services (AWS).
- In this role, you will lead efforts to improve CI/CD maturity, infrastructure automation, AWS reliability, and operational excellence.
- You will work closely with cross-functional teams to enable faster, safer, and more efficient software delivery while ensuring enterprise-grade AWS security and performance.
Essential Job Functions:
- Cloud Architecture: Architect, build, and manage scalable, secure, and resilient cloud infrastructure natively on Amazon Web Services (AWS).
- CI/CD & GitOps: Lead the design and implementation of modern CI/CD pipelines using advanced DevOps and GitOps practices for automated software delivery.
- OS & Virtualization Management: Oversee enterprise infrastructure services, including Windows and Linux operating systems administration, and support the integration or migration of virtualization workloads (VMware/Hyper-V) via AWS migration hubs.
- Identity & Access Management: Manage enterprise authentication and authorization frameworks utilizing AWS IAM, AWS IAM Identity Center (formerly AWS SSO), SAML, and RBAC.
- Containerization: Implement and manage containerized workloads using Amazon ECS and Amazon EKS (Kubernetes) in highly available production environments.
- Infrastructure as Code (IaC): Lead the automation of infrastructure provisioning, deployment processes, and operational workflows using modern declarative languages.
- AI-Driven Cloud Operations (AIOps): Introduce and adopt AI-driven operations (AIOps) for advanced AWS monitoring, automated alerting, anomaly detection, and incident response.
- AI Productivity Enhancement: Leverage AI-based tools and generative AI assistants (e.g., Amazon Q Developer) to improve code scripting, rapid troubleshooting, and workflow automation efficiency.
- FinOps & Security Governance: Continuous monitoring of AWS system performance, availability, cost optimization (FinOps), and security posture.
- Lead incident management, troubleshooting, and root-cause analysis for critical production issues.
- Cross-functional Collaboration: Partner with cross-functional teams to mature deployment strategies, infrastructure hardening, and overall platform reliability.
Qualifications:
Required Skills
- Operating Systems: Strong hands-on experience with Windows Server and Linux (Amazon Linux, Red Hat, Ubuntu) administration in enterprise environments.
- AWS Identity & Security: Solid understanding of enterprise identity management, including AWS IAM, Organizations, SCPs, SAML federated SSO, and fine-grained RBAC.
- Network & Perimeter Security: Hands-on experience with AWS networking components (VPC, Transit Gateway, Route 53) alongside third-party virtual security appliances (e.g., Palo Alto Networks, Fortinet Cloud firewalls).
- CI/CD Expertise: Strong understanding of continuous integration/continuous deployment concepts, automated release management, and blue/green or canary deployment strategies.
- Infrastructure as Code (IaC): Proficiency in standard IaC practices using Terraform, AWS CloudFormation, or AWS CDK.
- Scripting & Automation: Strong programming and scripting skills using Python, Bash, or PowerShell for operations automation.
- Containers & Orchestration: Thorough hands-on knowledge of Docker containerization and Kubernetes management (specifically Amazon EKS and Helm).
- Observability & Analytics: Experience with modern monitoring, distributed tracing, and centralized logging frameworks (AWS CloudWatch, Prometheus, Grafana, or OpenSearch/ELK Stack).
- AIOps & Emerging Tech: Exposure to AI-driven automation concepts, automated log analysis, and intelligent alerting is highly preferred.
- Leadership & Communication: Strong technical leadership, stakeholder collaboration, and root-cause analysis skills.
- Cloud Platform: Amazon Web Services (AWS)
- Identity & Access Management: AWS IAM, AWS IAM Identity Center, Active Directory / AWS Managed Microsoft AD, SAML
- Networking & Security Appliances: AWS VPC, Palo Alto Networks / Fortinet Virtual Firewalls, AWS WAF, VPN, AWS Shield (DDoS/IPS/IDS concepts)
- Version Control & GitOps: Git, GitHub, GitLab, Bitbucket, ArgoCD
- CI/CD Automation Platforms: GitHub Actions, GitLab CI/CD, Jenkins, AWS CodePipeline
- Containers & Orchestration: Docker, Amazon EKS (Kubernetes), Amazon ECS, Fargate
- Infrastructure as Code (IaC): Terraform Cloud / Terraform Enterprise, AWS CloudFormation / AWS CDK, Ansible
- Scripting: Python, Bash/Shell
- Observability & Automated Monitoring: AWS CloudWatch, Amazon Managed Prometheus & Grafana, Amazon OpenSearch Service / ELK Stack, AWS CloudTrail
- Hybrid/Virtualization (Value Add): AWS Application Migration Service (MGN), VMware Cloud on AWS
- Collaboration Tools: Jira, Confluence
- AI & Automation Tools (Value Add): Amazon Q Developer (formerly CodeWhisperer), Amazon DevOps Guru (AIOps/Intelligent monitoring), automated incident response frameworks.
How to Apply: Interested candidates are encouraged to respond/submit their updated resumes, and for additional job opportunities, please visit Jobs In India – VARITE.
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If you're not available or interested in this opportunity, please pass this along to anyone in your network who might be a good fit and interested in our open positions. VARITE offers a Candidate Referral program, where you'll receive a one-time referral bonus based on the following scale if the preferred candidate completes a three-month assignment with VARITE.
Experience Level Bonus Referral:
| 0-2 years | INR 5,000 |
| 2-6 years | INR 7,500 |
| 6+ years | INR 10,000 |
About VARITE: VARITE is a global staffing and IT consulting company providing technical consulting and team augmentation services to Fortune 500 Companies in USA, UK, CANADA and INDIA. VARITE is currently a primary and direct vendor to the leading corporations in the verticals of Networking, Cloud Infrastructure, Hardware and Software, Digital Marketing and Media Solutions, Clinical Diagnostics, Utilities, Gaming and Entertainment, and Financial Services.
Equal Opportunity Employer:
VARITE is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, veteran status, or disability status.