DevOps Engineer

Viamagus Technologies Pvt. Ltd.; Bengaluru; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Viamagus Technologies Pvt. Ltd. in Bengaluru is seeking a hands-on DevOps Engineer with 3+ years of production ownership.

The role focuses on architecting cloud-native distributed systems, scaling analytics pipelines, and delivering enterprise SaaS and on-prem deployments. Key responsibilities include AWS-based scalable infra, IaC with Terraform, Dockerized environments, end-to-end observability, security best practices, and collaboration with Eng/QA/Prod teams; experience with AI tooling for

Qualifications

• 3+ years of hands-on DevOps with production ownership.
• Strong AWS expertise including Kubernetes, VPC, EC2, RDS, S3, Lambda.
• Experience with Docker, container orchestration and Helm charts.
• Terraform expertise and CI/CD with GitHub Actions.
• Scripting skills: Python, Shell, Node.js.
• Experience with high-scale distributed systems and SaaS-to-on-prem deployments.

Responsibilities

• Architect and manage scalable infrastructure using AWS services; multi-tenant SaaS architecture.
• Implement Infrastructure-as-Code using Terraform; Dockerized environments.
• Establish end-to-end observability with logs, metrics, traces; ensure high availability and DR.
• Drive security best practices including IAM, network isolation, CVE remediation.
• Design on-prem versions of SaaS platform and automate installation and upgrades.
• Collaborate with Engineering/QA/Product; own DevOps architecture decisions.
• Leverage AI coding tools as part of daily automation and infra work.
• Create specs guiding AI tooling and workflow automation.

Skills

DevOps

AWS

Kubernetes

Terraform

GitHub Actions

Python

Shell

Node.js

Distributed systems

Education

Bachelor's degree in Computer Science or related field

Tools

Docker

Kubernetes (EKS)

Helm

Terraform

GitHub Actions

Prometheus/Grafana

Datadog

Job description

We are looking for a highly hands-on DevOps Engineer with 3+ years of experience to take strong ownership of a growing DevOps ecosystem end-to-end. This is systems-heavy engineering, not standard infrastructure maintenance — the role covers architecting cloud-native distributed systems, scaling high-throughput analytics pipelines, building enterprise-grade SaaS and on-prem deployments, and driving DevOps excellence across the company. If you enjoy owning infrastructure like a product, this role will suit you well.

Key Responsibilities

• Architect and manage scalable infrastructure using AWS services; design and maintain a multi-tenant SaaS architecture handling millions of real-time events
• Implement Infrastructure-as-Code using Terraform; build and maintain Dockerized, container-orchestrated environments
• Implement end-to-end observability (logs, metrics, traces), alerting, and incident-response systems; ensure high availability, auto-scaling, disaster recovery, and backup strategies
• Drive security best practices — network isolation, IAM policies, CVE remediation, container security
• Design and deliver on-premise versions of the SaaS platform, replicating cloud architecture in constrained enterprise environments, and automating installation, upgrades, and maintenance
• Collaborate closely with Engineering, QA, and Product teams; contribute to architecture and design decisions; act as a technical owner for DevOps initiatives
• Use AI coding tools (Claude Code, Cursor, GitHub Copilot, or similar) as a primary part of daily infrastructure and automation work
• Write and maintain specs/rules files (e.g. CLAUDE.md, .cursorrules, agent skill files) that direct AI coding tools for the DevOps and engineering teams
• Design and build AI agents and agentic workflows for infra automation, incident response, and operational tooling using LLMs (OpenAI, Claude, Gemini, or similar)
• Practice spec-driven development — translate infrastructure and platform requirements into clear specs that guide both human and AI-driven implementation

Mandatory Required Skills

• 3+ years in DevOps with hands-on ownership of production systems
• Strong AWS expertise (mandatory), including Kubernetes (EKS), VPC, EC2, RDS, ElastiCache, S3, CloudFront, Route 53, API Gateway, Lambda, and Kinesis
• Experience with ClickHouse or similar columnar databases, Docker and container orchestration, and Helm charts
• Strong GitHub Actions experience and Terraform expertise (mandatory)
• Strong scripting skills in Python, Shell, and Node.js
• Experience with high-scale distributed systems — load balancing, caching strategies, event-driven architectures, high-throughput pipelines
• Experience building SaaS-to-on-prem deployments and automating complex enterprise setups
• Hands-on experience with AI coding tools (Claude Code, Cursor, GitHub Copilot, or similar) as a core part of daily engineering workflow
• Experience designing and building AI agents / agentic workflows using LLMs (OpenAI, Claude, Gemini, or similar) for automation, tooling, or operational use cases

Preferred

• Experience with monitoring tools such as Grafana, Prometheus, or Datadog
• Familiarity with spec-driven development practices and maintaining AI tool configuration/rules files (e.g. CLAUDE.md, .cursorrules, agent skill files) for a team

Nice to Have

• Exposure to SOC 2 or ISO compliance environments
• Development experience beyond scripting (full application development background)

Qualifications

Degree in Computer Science, Engineering, or a related field preferred (to be confirmed with client)

Experience Required

3+ years in DevOps with demonstrated, hands-on ownership of production infrastructure — not solely pipeline maintenance.