๐Ÿš€ 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) โ˜ธ๏ธ Container & Platform Engineering: Kubernetes (EKS, AKS, GKE), Rancher, Helm, Docker ๐Ÿ—๏ธ Infrastructure as Code: Terraform, Ansible ๐Ÿ”„ CI/CD & GitOps: GitHub Actions, GitLab CI, Jenkins, Azure DevOps, Argo CD ๐Ÿ“Š Observability & AIOps: Prometheus, Grafana, OpenTelemetry, Loki, Tempo, ELK/EFK, AI-assisted Operations ๐Ÿ” Security & DevSecOps: RBAC, Network Policies, Secrets Management, IAM, Cloud Security ๐Ÿง Operating Systems & Scripting: Linux, Bash, Python ๐ŸŒ Cloud & Networking: VPC, DNS, Load Balancers, Ingress Controllers, VPN, TCP/IP, High Availability ๐Ÿš€ Passionate about Platform Engineering, Cloud-Native technologies, Kubernetes, Automation, GitOps, AIOps, and building reliable, scalable infrastructure that empowers development teams and accelerates software delivery.โ€ฆ

Indala Vinay kumar reddy

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๐Ÿš€ 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) โ˜ธ๏ธ Container & Platform Engineering: Kubernetes (EKS, AKS, GKE), Rancher, Helm, Docker ๐Ÿ—๏ธ Infrastructure as Code: Terraform, Ansible ๐Ÿ”„ CI/CD & GitOps: GitHub Actions, GitLab CI, Jenkins, Azure DevOps, Argo CD ๐Ÿ“Š Observability & AIOps: Prometheus, Grafana, OpenTelemetry, Loki, Tempo, ELK/EFK, AI-assisted Operations ๐Ÿ” Security & DevSecOps: RBAC, Network Policies, Secrets Management, IAM, Cloud Security ๐Ÿง Operating Systems & Scripting: Linux, Bash, Python ๐ŸŒ Cloud & Networking: VPC, DNS, Load Balancers, Ingress Controllers, VPN, TCP/IP, High Availability ๐Ÿš€ Passionate about Platform Engineering, Cloud-Native technologies, Kubernetes, Automation, GitOps, AIOps, and building reliable, scalable infrastructure that empowers development teams and accelerates software delivery.โ€ฆ

Available to hire

๐Ÿš€ 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)

โ˜ธ๏ธ Container & Platform Engineering: Kubernetes (EKS, AKS, GKE), Rancher, Helm, Docker

๐Ÿ—๏ธ Infrastructure as Code: Terraform, Ansible

๐Ÿ”„ CI/CD & GitOps: GitHub Actions, GitLab CI, Jenkins, Azure DevOps, Argo CD

๐Ÿ“Š Observability & AIOps: Prometheus, Grafana, OpenTelemetry, Loki, Tempo, ELK/EFK, AI-assisted Operations

๐Ÿ” Security & DevSecOps: RBAC, Network Policies, Secrets Management, IAM, Cloud Security

๐Ÿง Operating Systems & Scripting: Linux, Bash, Python

๐ŸŒ Cloud & Networking: VPC, DNS, Load Balancers, Ingress Controllers, VPN, TCP/IP, High Availability

๐Ÿš€ Passionate about Platform Engineering, Cloud-Native technologies, Kubernetes, Automation, GitOps, AIOps, and building reliable, scalable infrastructure that empowers development teams and accelerates software delivery.

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Experience Level

Expert
Expert
Expert
Expert
Intermediate
Intermediate

Work Experience

Senior DevOps Engineer ยท Senior Consultant: Infrastructure Engineer ยท Senior Consultant โ€” Infrastructure Engineer at Tekmindz
February 1, 2026 - Present
Architected a production-grade EKS platform across dev, staging, and production; implemented Karpenter autoscaling and IRSA; built Azure DevOps CI/CD with Trivy scanning, Cosign signing, and SBOM security gates; and delivered Argo CD GitOps with progressive rollouts. Replaced AWS managed services (RDS, ElastiCache, OpenSearch) using Kubernetes-native operators (Crunchy PGO, OpsTree Redis Operator, ECK). Implemented unified observability using OTel Collector with traces (Tempo), logs (Loki), and metrics (Prometheus), instrumenting Java and Node.js services. Built ClickHouse on Kubernetes with PeerDB CDC for real-time replication from PostgreSQL, eliminating nightly ETL and reducing data latency to under 2 seconds. Resulted in ~40% monthly infrastructure cost reduction and zero-downtime production cutover.
Senior DevOps / Site Reliability Engineer (Senior DevOps Engineer; Embedded Infrastructure Consultant) at Tekmindz
February 1, 2026 - Present
Architected a production-grade AWS EKS platform across dev/staging/prod. Implemented GitOps using Argo CD with progressive rollouts, and CI/CD security gates including Trivy scans, Cosign signing, and SBOM-based policy checks. Replaced AWS managed services (RDS, ElastiCache, OpenSearch) with Kubernetes-native operators (Crunchy PGO for PostgreSQL HA, Redis operator, ECK for Elasticsearch). Built unified observability using OpenTelemetry Collector with Tempo (traces), Loki (logs), and Prometheus (metrics). Implemented ClickHouse with PeerDB CDC to replace nightly batch ETL, reducing analytics latency from ~24 hours to under 2 seconds and achieving ~40% monthly infra cost reduction. Delivered reproducible infrastructure via 100% IaC with Terraform modules.
DevOps Engineer (embedded in client team) at CoffeeBeans Consulting
October 1, 2024 - January 31, 2026
Embedded on the NPCI BHIM UPI platform to design, build, and operate bare-metal Kubernetes clusters under strict compliance constraints and zero-tolerance downtime requirements. Delivered GitOps and DevSecOps controls including RBAC, OPA/Gatekeeper admission policies, Vault secrets management, PodSecurityAdmission, and SBOM-based CVE reporting. Implemented observability with Prometheus/Grafana, Loki/Tempo via OpenTelemetry, per-service SLO dashboards, and burn-rate alerting; led blameless post-mortems and authored runbooks to reduce MTTR and improve alert quality. Automated infrastructure provisioning with Terraform and ongoing node hardening with Ansible across 100+ nodes.
Senior DevOps / SRE (Embedded Infrastructure Engineer) at CoffeeBeans Consulting
October 1, 2024 - January 31, 2026
Embedded on the NPCI BHIM UPI platform team to design, build, and operate bare-metal Kubernetes clusters under strict compliance constraints. Used Rancher for cluster management, implemented rolling deployments for zero-downtime releases, and automated infrastructure provisioning with Terraform and OS hardening/config drift remediation with Ansible across 100+ nodes. Established GitOps and DevSecOps controls including RBAC least privilege, OPA/Gatekeeper admission policies, Vault-based secrets management, Pod Security Admission, and SBOM/CVE reporting using Trivy. Implemented observability with Prometheus/Grafana and OpenTelemetry (plus EFK-style logging), with per-service SLO dashboards and distributed tracing. Led blameless post-mortems and authored incident runbooks to reduce MTTR and improve reliability.
Infrastructure Engineer (AWS Multi-Account IaC & SRE) at Sigma Infosolutions
February 1, 2021 - September 30, 2024
Built a standardized, reusable IaC framework across multiple AWS accounts to eliminate manual infrastructure provisioning and reduce drift/config inconsistency. Developed Terraform module library with versioned releases and environment parity via workspaces. Implemented CI/CD automation for containerized microservices and enforced cloud security best practices (IAM least privilege, OPA/Sentinel-style policy-as-code, AWS Config rules, GuardDuty/Security Hub). Established SRE practices including Prometheus/Grafana monitoring, SLO/error budget framework with burn-rate alerting, blameless post-mortems, and incident runbooks. Implemented cost governance through tagging and purchasing strategy (RI/Savings Plans/Spot).
DevOps / Infrastructure Engineer (AWS Multi-Account IaC & SRE) at Sigma Infosolutions
February 1, 2021 - September 30, 2024
Built standardized, reusable AWS infrastructure-as-code frameworks using Terraform for a multi-account SaaS environment. Created a reusable versioned Terraform module library, used workspaces for environment parity, and implemented CI/CD automation for containerized microservices on EKS/ECS. Strengthened security posture with IAM least-privilege, OPA/Sentinel policy-as-code, AWS Config rules, GuardDuty, and Security Hub. Implemented cost governance via purchasing strategies (Reserved Instances/Savings Plans/Spot) and mandatory resource tagging. Established SRE practices including Prometheus/Grafana monitoring, SLO/error budget dashboards with burn-rate alerting, and blameless incident post-mortems/runbooks. Delivered measurable improvements in environment provisioning time, release cycle time, and reduced production incidents following observability overhaul.

Education

Add your educational history here.

Qualifications

AWS Solutions Architect Associate certification (certification)
January 11, 2030 - July 15, 2026
CKA (in progress certification)
January 11, 2030 - July 15, 2026
AWS Solutions Architect Associate
January 11, 2030 - July 15, 2026
CKA (in progress)
January 11, 2030 - July 15, 2026
AWS Solutions Architect Associate
January 11, 2030 - July 15, 2026
AWS Solutions Architect Associate
January 11, 2030 - July 15, 2026
CKA (in progress)
January 11, 2030 - July 15, 2026

Industry Experience

Financial Services, Government, Professional Services, Software & Internet, Computers & Electronics
    AI Prompt Engineer & Code Evaluator (Freelance / Remote)

    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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