Priyanshi Srivastava

SRE (Site Reliability Engineer)

Dubai, United Arab Emirates7 yrs 2 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

5+ years of DevOps experience in cloud and automation.
Expert in CI/CD pipeline development and cloud infrastructure.
Proven track record of reducing deployment times and improving system reliability.

Stackforce AI infers this person is a Cloud Infrastructure and DevOps specialist in the SaaS industry.

Contact

Skills

Core Skills

Cloud InfrastructureCi/cd

Other Skills

AWSAWS Direct ConnectAWS EC2AWS LambdaAWS RDSAWS-S3AlertManagerAmazon ACLAmazon Auto Scaling GroupAmazon CloudFrontAmazon CloudWatchAmazon EBSAmazon EC2Amazon EKSAmazon ELB

About

A professional DevOps Engineer with 5+ years of experience, skilled in best practices of Cloud and Automation. Tech Stack: - Deployments: Docker, Kubernetes(EKS, AKS, GKE), Helm, Terraform, Argocd, Chartmuseum, Shared Library - CI/CD: Jenkins, Gitlab CI, Github Actions - Security: Vault, AWS Secrets Manager, Azure KV - Logging & Monitoring: Elasticsearch, Fluentd, Prometheus, Grafana, Kibana, New Relic - Alerting: AWS Cloudwatch, Alertmanager, Opsgenie - Load Testing: JMeter, Locust - Programming Languages: Python, Bash, HCL, groovy - Databases: MySQL, Postgres - Version Control: GitHub, GitLab, Bit Bucket - IDE: Sublime, VsCode - OS : Linux (commands and scripting), MacOS, Windows - Clouds: - GCP (VPN, Firewalls, VM, GCS, IAM, Google Functions, GKE, GCR, Cloud NAT, Cloud CDN, Coldline, Cloud Services, Container Engine, Cloud Storage) - Microsoft Azure (VNet, NSG, VM, ADLS/ABFS, IAM, Azure Functions, AKS, ACR, AD, Delivery Network, Archive Storage, App Engine, Container Service, Block Blob) - AWS (VPC, NAT, IGW, SG, NACL, EC2, S3, IAM, Lambda, EKS, ECR, CloudFront, Glacier, Elastic Beanstalk, ECS, Route53, CloudWatch, SNS, SQS, SES, EventBridge, ASG, ELB, AWS Config, MSK, Kinesis, API Gateway, Direct Connect) Certifications: - AWS Certified Solutions Architect - AWS Partner Accreditations: - AWS Technical Professional - AWS Business Professional

Experience

7 yrs 2 mos

Total Experience

3 yrs 7 mos

Average Tenure

4 yrs 10 mos

Current Experience

Zeta

2 roles

Site Reliability Engineer II

Aug 2023 – Present · 2 yrs 10 mos · Bengaluru, Karnataka, India · On-site

Designed and provisioned scalable cloud infrastructure using Terraform across AWS (EKS, EC2, RDS, S3, Lambda) with GitOps-driven deployments via ArgoCD, improving deployment reliability and auditability.
Built and maintained CI/CD pipelines in Jenkins and ArgoCD for microservices (Java/Node.js/Python), integrating JFrog Artifactory and aligning with development teams to enforce delivery best practices.
Deployed and scaled containerized applications on EKS/AKS/GKE, implemented HPA using Prometheus metrics adapter, and configured Helm/Umbrella charts for efficient multi-environment releases.
Implemented robust observability using Prometheus, Grafana, Alertmanager, and Opsgenie, reducing MTTR by 40% and ensuring proactive incident response and alert tuning.
Strengthened Kubernetes security by integrating HashiCorp Vault for secret management, enforcing RBAC policies, and automating secure federated access via Gangway.
Led rollout strategies using blue/green and canary deployments with Argo Rollouts, enabling zero-downtime releases with built-in monitoring and automated rollback capabilities.

TerraformAWSArgoCDJenkinsPrometheusGrafana+4

DevOps Engineer II

Jul 2021 – Jul 2023 · 2 yrs · Bengaluru, Karnataka, India · On-site

Overview:
Collaborated with cross-functional teams to ensure system reliability and resolve incidents efficiently. Managed and automated CI/CD pipelines, improved monitoring systems, and driving cross-team communication. Mentored junior SREs to strengthen team capabilities and improve operational workflows.
Details:
Provisioned cloud infra on AWS (EC2, EKS, Lambda, RDS, S3, etc) using Terraform, enabling scalable deployments
Built CI/CD in Jenkins & ArgoCD, automating end-to-end delivery for microservices written in Java/Node.js/Python, stored the artifacts in JFrog. Coordinated with dev teams to integrate CI/CD best practices
Deployed & scaled multiple containerized apps on K8s (EKS/AKS/GKE), created Helm & Umbrella Helm charts (for abstraction), improving release cycles, developed infrastructure for multiple envs (dev/uat/prod) across isolated K8s namespaces
Integrated HashiCorp Vault for secrets; implemented monitoring/alerting with Prometheus, Grafana, Alertmanager & Opsgenie, reducing MTTR by 40%
Implemented HPA for microservices based on CPU/memory metrics using Prometheus metrics adapter for less resource utilization and high availability, worked on K8s ingress mgmnt using Istio, set up CRDs and configured resource quotas, network policies, affinity/anti-affinity rules for workload scheduling, troubleshooted deployment issues, pod lifecycle events & bottlenecks using kubectl logs
Supported rollout strategies (BG, canary) using K8s & Argo Rollouts, enabling releases with built-in monitoring & rollback capabilities
Containerized apps and created K8s manifests (Deployment/StatefulSet/DaemonSet) with secure deployments via secrets and configmaps
Automated app deployment and scaling via GitOps workflows - ArgoCD, and automated token-based kubeconfig generation via Gangway to provide federated access to EKS/AKS clusters for cluster security
Automated DR for MySQL/PostgreSQL, managed DNS with Route53, and integrated CloudFront for global delivery

TerraformAWSArgoCDJenkinsPrometheusGrafana+4

To the new

2 roles

DevOps Engineer

Aug 2019 – Jul 2021 · 1 yr 11 mos · Noida, Uttar Pradesh, India · On-site

Overview:
Supported a major OTT client, Tata Sky. Automated CI/CD pipelines, managed cloud infrastructure, ensuring high availability of streaming services. Collaborated across teams to deliver reliable & scalable containerized solutions in fast-paced environments.
Details:
Designed and provisioned production infrastructure using Terraform, supporting ott website and reducing manual effort by 85% through fully automated IAC workflows.
Deployed and managed scalable applications using Kubernetes, ensuring consistent container orchestration across environments and decreasing deployment-related issues by 70%.
Successfully migrated multiple Kubernetes clusters (dev, QA, staging, and prod) to Amazon EKS, reducing cluster maintenance overhead and improving availability.
Supported multiple production releases in a high-availability environment, maintaining 99.9% uptime and ensuring smooth go-lives across distributed systems.
Secured the entire AWS VPC setup, configuring Direct Connect, VPN, network ACLs, security groups, and custom route tables to ensure secure communication between cloud and on-premises infrastructure.
Built and integrated monitoring solutions using AWS CloudWatch, Prometheus, and Grafana, improving system visibility and cutting down incident response time by over 60%.
Developed CI/CD pipelines using Jenkins, incorporating Groovy DSL scripts and shared libraries to standardize builds and deployments across microservices—cutting deployment time by 75%.
Centralized application logging using the ELK stack (Elasticsearch, Logstash, Kibana) and CloudWatch Logs, significantly reducing time spent in root cause analysis.
Managed API Gateway configurations and implemented token management strategies for secure, role-based access to sensitive application workflows.
Led performance benchmarking and load testing using Apache JMeter and Locust, enabling identification and resolution of system bottlenecks, improving throughput and latency by 30%.

TerraformAWSKubernetesJenkinsPrometheusGrafana+5

DevOps Trainee

Feb 2019 – Jul 2019 · 5 mos · Noida, Uttar Pradesh, India · On-site

Overview:
Created production grade DevOps infra for the retail based client
Involved in industrial training, real world project PoC's
Preparing for AWS certifications
Details:
Worked as a shadow resource, supporting the core DevOps team in infrastructure automation and deployment processes
Automated infrastructure provisioning using Terraform, enabling one-command setup of complete environments
Designed basic CI/CD pipelines with pre-deployment checks including terraform fmt and terraform validate to enforce clean, production-ready code
Gained hands-on experience in DevOps best practices, infrastructure as code (IaC), and release automation workflows

TerraformCI/CDAWS