Indala Vinay kumar reddy
๐ Senior DevOps Engineer with 5+ years of experience designing, automating, and managing secure, scalable, and highly available cloud-native infrastructure across AWS, Azure, GCP, and on-premises environments.
I specialize in Platform Engineering, Site Reliability Engineering (SRE), Multi-Cloud Architecture, Infrastructure as Code (IaC), GitOps, AIOps, Kubernetes, and Cloud Infrastructure Automation. I enjoy building resilient platforms that enable faster software delivery, improved reliability, and optimized cloud operations.
My expertise includes designing and managing Kubernetes platforms (EKS, AKS, GKE, Rancher), implementing Infrastructure as Code using Terraform and Ansible, automating CI/CD pipelines with GitHub Actions, GitLab CI, Jenkins, and Azure DevOps, and managing containerized workloads with Docker and Helm.
I have strong experience with GitOps using Argo CD, cloud networking, Linux administration, cloud security, secrets management, RBAC, Network Policies, load balancing, and high-availability architectures.
I build end-to-end observability solutions using Prometheus, Grafana, OpenTelemetry, Loki, Tempo, ELK/EFK, and centralized logging. I also apply AIOps practices through AI-assisted monitoring, intelligent alerting, log analysis, anomaly detection, and automated incident response to improve operational efficiency and reduce MTTR.
Core Skills
โ๏ธ Multi-Cloud: AWS, Azure, Google Cloud (GCP)
โธ๏ธ Container & Platform Engineering: Kubernetes (EKS, AKS, GKE), Rancher, Helm, Docker
๐๏ธ Infrastructure as Code: Terraform, Ansible
๐ CI/CD & GitOps: GitHub Actions, GitLab CI, Jenkins, Azure DevOps, Argo CD
๐ Observability & AIOps: Prometheus, Grafana, OpenTelemetry, Loki, Tempo, ELK/EFK, AI-assisted Operations
๐ Security & DevSecOps: RBAC, Network Policies, Secrets Management, IAM, Cloud Security
๐ง Operating Systems & Scripting: Linux, Bash, Python
๐ Cloud & Networking: VPC, DNS, Load Balancers, Ingress Controllers, VPN, TCP/IP, High Availability
๐ Passionate about Platform Engineering, Cloud-Native technologies, Kubernetes, Automation, GitOps, AIOps, and building reliable, scalable infrastructure that empowers development teams and accelerates software delivery.
Skills
Experience Level
Work Experience
Education
Qualifications
Industry Experience
Platforms: Outlier AI ยท DataAnnotation ยท Micro1 ยท Mercor ยท Mindrift ยท Handshake AI | Remote | Ongoing
Evaluated and ranked LLM-generated code outputs (Python, Bash, YAML, Terraform, Shell) for correctness, efficiency, security, and style โ providing detailed rationale for preference decisions used in RLHF training pipelines.
Wrote and refined technical prompts for AI models covering DevOps, cloud infrastructure, Kubernetes, CI/CD, and scripting domains โ ensuring prompts elicit accurate, safe, and well-reasoned responses.
Reviewed AI-generated responses for factual accuracy, logical reasoning, hallucination, and instruction-following across STEM and software engineering tasks โ rated responses on multi-dimensional rubrics.
Created high-quality ground-truth code solutions in Python and Bash for AI training datasets โ solutions verified for correctness, edge case handling, and documentation quality.
Performed side-by-side model response comparisons for coding, infrastructure, and technical explanation tasks โ identifying failure modes and providing structured feedback to improve model alignment.
Annotated datasets for classification, named entity recognition, and instruction-following evaluation tasks across technical domains.
Maintained consistent quality scores and throughput on platforms with strict evaluator SLAs โ demonstrated ability to work independently in asynchronous remote environments.
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