We are looking for a highly skilled DevOps / Platform Engineer with strong hands-on experience in Golang, Kubernetes, and AWS to design, build, and operate scalable cloud-native platforms. The ideal candidate will be responsible for CI/CD automation, infrastructure provisioning, container orchestration, monitoring, and incident management in production environments.
Key ResponsibilitiesPlatform & InfrastructureDesign, deploy, and manage highly available and scalable infrastructure on AWS
Implement Infrastructure as Code (IaC) using Terraform for repeatable and secure deployments
Manage and optimize Kubernetes clusters (EKS preferred), including upgrades, scaling, and security hardening
Design and implement end-to-end CI/CD pipelines for microservices and cloud-native applications
Automate build, test, security scans, and deployment workflows
Ensure best practices for pipeline reliability, performance, and security
Build, optimize, and manage containerized applications using Docker
Implement Kubernetes best practices including deployments, services, ingress, HPA, and resource management
Enforce container security and image lifecycle management
Implement and maintain monitoring and observability solutions (Prometheus, Grafana, CloudWatch, etc.)
Define and monitor SLIs, SLOs, and SLAs
Proactively identify performance bottlenecks and reliability risks
Participate in on-call rotations and handle production incidents
Lead incident response, troubleshooting, and recovery efforts
Perform Root Cause Analysis (RCA) and implement preventive measures
Work closely with development, security, and architecture teams
Promote DevOps, SRE, and cloud-native best practices across teams
Contribute to platform documentation and operational runbooks
Strong programming experience in Golang
Strong hands-on experience with Kubernetes (production environments)
Strong hands-on experience with AWS (EKS, EC2, IAM, VPC, S3, Load Balancers, CloudWatch)
Proven experience designing and implementing CI/CD pipelines
Expertise in Infrastructure as Code, preferably Terraform
Deep understanding of containerization and orchestration best practices
Experience with monitoring, logging, and observability tools
Solid experience in incident management and root cause analysis
Experience building or supporting cloud-native microservices architectures
Knowledge of cost optimization strategies in AWS
Exposure to Site Reliability Engineering (SRE) principles
Familiarity with security scanning tools and DevSecOps practices
Experience with GitOps tools (ArgoCD, Flux)
Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience
4–8 years of experience in DevOps / Platform / Cloud Engineering
Strong problem-solving and troubleshooting skills
Excellent communication and collaboration abilities
Skills Required
- Bachelor's degree in Computer Science, Engineering, or equivalent practical experience
- 4-8 years of experience in DevOps, Platform, or Cloud Engineering
- Strong programming experience in Golang
- Strong hands-on Kubernetes experience in production environments
- Strong hands-on AWS experience, including EKS, EC2, IAM, VPC, S3, Load Balancers, and CloudWatch
- Experience designing and implementing CI/CD pipelines
- Expertise in Infrastructure as Code, preferably Terraform
- Deep understanding of containerization and orchestration best practices
- Experience with monitoring, logging, and observability tools
- Experience with incident management and root cause analysis
- Strong problem-solving and troubleshooting skills
- Excellent communication and collaboration abilities
- Experience building or supporting cloud-native microservices architectures
- Knowledge of AWS cost optimization strategies
- Exposure to Site Reliability Engineering principles
- Familiarity with security scanning tools and DevSecOps practices
- Experience with GitOps tools such as ArgoCD or Flux
What We Do
Ziventra AI Ventures is an India-based, AI-first IT consulting and staff-augmentation company serving global enterprises. It supplies remote technology talent—including developers, engineers, architects, and consultants—through contract staffing, contract-to-hire, and dedicated teams. The company also provides AI consulting and automation, including AI agents, workflow automation, retrieval-augmented generation (RAG), and large language model integration. Its broader services include cloud, DevOps, data engineering, and enterprise-platform consulting.








