HyperVerge Hiring DevOps Engineer

DevOps Engineer Job at HyperVerge, Bengaluru | Terraform, AWS, Kubernetes, MLOps, High Salary

Company:
HyperVerge

Job Role:
DevOps Engineer – Terraform | AWS | Kubernetes | MLOps

Qualification:
Bachelor’s Degree Preferred (Not Mandatory if Skilled)

Experience:
1–4 Years (Production Environment – DevOps/Platform Engineering)

Salary:
High Industry Standards (Not Disclosed)

Job Location:
Bengaluru, Karnataka, India (Hybrid/Remote Possibility Based on Role)

Last Date:
Not Specified (Apply ASAP)

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About HyperVerge:
HyperVerge is a top-ranked AI company specializing in identity verification and fraud prevention. Our technology has powered over 1 billion global ID checks, serving elite clients like Jio, Vodafone, SBI, Airbus, Grab, Cred, and more. With deep AI innovation recognized by NIST global leaderboards, HyperVerge delivers secure, scalable solutions across India, US, Africa, and ASEAN markets.

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Job Description – DevOps Engineer

We are hiring a skilled DevOps Engineer to join our elite Platform Engineering team. This role is perfect for professionals with a passion for cloud infrastructure, automation, and MLOps. You'll manage production systems, design resilient architectures, and power mission-critical AI workloads.

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Key Responsibilities:

• Build and manage multi-region AWS infrastructure using Terraform
• Implement GitOps-based CI/CD pipelines (GitHub Actions, GitLab CI, Argo CD)
• Support MLOps workflows: model training, inference, and registry
• Enable high availability, scalability, security, and performance
• Drive DevSecOps controls and real-time observability (CloudWatch, ELK)
• Architect resilient solutions for containerized services using Kubernetes (EKS) and Helm
• Optimize cloud costs and introduce proactive infrastructure guardrails

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Core Skills Required:

• AWS (EC2, VPC, IAM, ALB, S3, CloudWatch, Auto Scaling)
• Terraform and Infrastructure as Code (IaC)
• Python or Go (plus shell scripting for automation)
• Kubernetes, Helm, Istio, Docker
• GitOps CI/CD: GitLab CI, GitHub Actions, Argo CD
• Linux administration, DNS, reverse proxy configs
• TLS, encryption, secrets management, access controls
• Debugging production infrastructure and CI/CD flows

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Preferred/Nice-to-Have Skills:

• GPU-based cloud setups for AI/ML model training
• Centralized logging using ELK (Elasticsearch, Logstash, Kibana)
• Experience with PostgreSQL, MongoDB, Redis, Redshift
• LLMs, vector databases, RAG pipelines
• Performance testing, load generation tools
• Chaos engineering, auto-healing systems
• Experience building internal developer platforms (IDPs)

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Who Should Apply?

• Passionate cloud & DevOps engineers with automation mindset
• Curious learners with strong problem-solving capabilities
• Engineers focused on business outcomes and tech efficiency
• Proactive contributors comfortable with ownership and scale
• Professionals seeking to grow in AI, Cloud, and DevOps architecture

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