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AWS DevOps Engineer

Varite India Private · Bengaluru, KA

Strong hiring record · median 9 days open

100100

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Actively hiring

Posted today · still listed on the employer's own board · How we score

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  • Posted today
  • Still listed on the employer's own board

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AWS DevOps Engineer at Varite India Private. We’ll keep it in your applied jobs, so you can see it later and be warned before applying to the same employer twice.

Company Name

VARITE India Private Limited

About The Client

A global IT services and consulting company, multinational information technology (IT), headquartered in Tokyo, Japan. The Client offers a wide array of IT services, including application development, infrastructure management, and business process outsourcing. Their consulting services span business and technology, while their digital solutions focus on transformation and user experience design. It excels in data and intelligence services, emphasizing analytics, AI, and machine learning. Additionally, their cybersecurity, cloud, and application services round out a comprehensive portfolio designed to meet the diverse needs of businesses worldwide.

About The Job

  • We are seeking a hands-on AWS DevOps Engineer to build, secure, automate, and operate production-grade AWS platforms supporting AI, GenAI, and Agentic AI solutions.
  • This role is focused on engineering and delivery, enabling AI workloads to move from POC to scalable, secure, observable, and production-ready deployments.

Essential Job Functions

  • Build and manage DEV, TEST, and PROD AWS environments for AI and Agentic AI workloads.
  • Containerize and deploy applications using Docker, Kubernetes (EKS/ECS), and Client Bedrock AgentCore.
  • Develop Infrastructure as Code (IaC) using Terraform, including networking, IAM, KMS, secrets management, and secure connectivity.
  • Build and maintain secure DevSecOps CI/CD pipelines covering testing, security scanning, deployment, promotion, and rollback.
  • Integrate AI evaluation, regression, and guardrail controls into deployment pipelines.Implement observability and monitoring using OpenTelemetry, ADOT, CloudWatch, and Bedrock AgentCore capabilities.
  • Establish SRE practices including SLOs, resilience, incident management, root cause analysis, and production readiness.
  • Optimize platform performance, scalability, reliability, and cloud costs using FinOps principles.
  • Collaborate with AI Engineering, Security, Architecture, and Operations teams to establish reusable platform patterns and best practices.

Qualifications

  • Exp: 6+ years
  • Shift Timings: Genreal

Mandate Skills

  • AWS DevOps / Platform Engineering
  • Docker, Kubernetes/EKS and Terraform/IaC expertise
  • AWS Control Tower / AWS Organizations / multi-account environments
  • Helm / Argo CD / GitOps
  • Prometheus / Grafana

Qualifications

  • Strong hands-on experience in AWS DevOps, Platform Engineering, or Cloud Engineering roles.
  • Proven experience building and operating production AWS environments and containerized workloads.
  • Strong experience with Client Bedrock and Bedrock AgentCore.
  • Expertise in Docker, Kubernetes/EKS, Terraform, and Infrastructure as Code.
  • Strong CI/CD automation, DevSecOps, AWS security, IAM, and secrets management experience
  • .Experience with OpenTelemetry, ADOT, CloudWatch, monitoring, logging, and distributed tracing.
  • Strong understanding of SRE practices, including SLOs, resilience engineering, incident management, and RCA.
  • Experience with Bash and/or Python automation.
  • Practical experience with AWS cost optimization and FinOps practices.
  • Strong collaboration, problem-solving, and platform consulting skills.

Mandatory Experience

  • Proven experience building, automating, securing, deploying, and supporting production-grade AWS platforms and containerized workloads end-to-end.
  • Hands-on experience with Client Bedrock and Bedrock AgentCore is essential.
  • Production experience supporting AI, GenAI, or Agentic AI workloads is strongly preferred.
  • Infrastructure support or CI/CD-only experience without production ownership is not sufficient.

Preferred Skills

  • AgentOps and AI operations.AWS Control Tower, AWS Organizations, and multi-account environments.
  • Helm, Argo CD, and GitOps.Prometheus and Grafana.
  • High Availability and Disaster Recovery solutions.
  • MCP, tool, and API integration experience.
  • Experience working with SAP environments.

Preferred Certifications

  • AWS Certified DevOps Engineer
  • Professional.AWS Certified Solutions Architect
  • Professional.Kubernetes and Terraform certifications.

How to Apply

Interested candidates are encouraged to respond/submit their updated resumes, and for additional job opportunities, please visit Jobs In India – VARITE.

Unlock Rewards

Refer Candidates and Earn.

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 referred 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 on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, veteran status, or disability status.

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