CONTACT

hello@sahil.work

sahil-sharma

Vienna, Austria

SKILLS

Cloud
Linux
Kubernetes
Keycloak
PostgreSQL
HashiCorp Vault
Terraform
Prometheus
Open Telemetry
Grafana
Loki
API Gateway
Nginx
Jenkins
Github Actions
Istio
Argo CD
Argo Workflows
OAuth2 Proxy
Kafka
Python
Bash

EDUCATION

Masters in Computer Applications

Software Systems

2008 - 2011

Sahil Sharma

Cloud Engineer

About me

Focused on building and managing scalable, automated platforms and infrastructure that streamline software development and IT operations. Experienced in automating deployments, establishing continuous integration and delivery pipelines, and ensuring system reliability and performance. Adept at bridging development and operations teams to accelerate software delivery while maintaining security and operational excellence.


What I Do

  • Cloud & Platform Engineering

    • Design and operate scalable, secure, and cost-efficient cloud infrastructure

    • Build Kubernetes-based platforms for applications, data workloads, and ML systems

    • Implement automated deployments, environment isolation, and release strategies

    • Optimize performance, reliability, and resource usage across environments

  • Identity & Access Management

    • Deploy and manage Keycloak as an Identity Provider (IdP) for secure authentication

    • Implement SSO, OAuth2, OIDC, and SAML-based integrations

    • Manage realms, clients, user federation, custom mappers, and fine-grained access

    • Secure internal and external applications with centralized identity policies

  • GitOps & Workflow Automation

    • Implement GitOps workflows using Argo CD for declarative, automated deployments

    • Design & maintain Argo Workflows for internal and external automation pipelines

    • Improve deployment consistency, traceability, and rollbacks with Git-driven ops

  • Infrastructure Automation & DevOps

    • Automate infrastructure provisioning with Terraform (modular, reusable stacks)

    • Develop CI/CD pipelines using GitHub Actions and Jenkins

    • Implement security practices, policy-as-code

  • Observability & Reliability Engineering

    • Build observability using Prometheus, Loki, Grafana, and OpenTelemetry

    • Implement metrics, logs, traces, and alerts for actionable insights

    • Improve system reliability through monitoring dashboards, SLOs, and alerting

  • Cloud & Platform Security

    • Implement security best practices across cloud and Kubernetes environments

    • Manage identity and access using IAM, Kubernetes RBAC, and policy-based controls

    • Enhance application and platform security through secret management and Vault integrations

    • Work closely with teams to ensure compliance, reduce attack surface, and maintain strong security posture

  • Platform Support for Engineering, Data & AI Teams

    • Enable engineering teams with stable, automated deployment pipelines

    • Support ML workloads with optimized Kubernetes deployment strategies

    • Collaborate cross-functionally to improve developer experience and platform usability