As an SRE Engineer:
I like to start by highlighting my extensive experience as a Site Reliability Engineer. I’ve worked across various industries, ensuring high availability, performance, and security of systems.
I have in-depth experience in cloud environments like AWS, GCP, and Azure, where I’ve worked on building scalable, reliable infrastructures using tools like Terraform, Jenkins, and Kubernetes.
I’m heavily involved in automating CI/CD pipelines, container orchestration with Kubernetes, and cloud infrastructure management.
I have hands-on experience with monitoring and logging tools like Prometheus, Grafana, and the ELK stack, which helps me maintain system health and optimize performance.
Additionally,
I’ve built real-time data processing pipelines using Kafka, ensuring that high-throughput, low-latency systems function smoothly.
I enjoy taking a proactive approach to identifying performance bottlenecks and automating manual processes to streamline operations. I also focus on continuously improving service-level objectives and agreements, using my strong scripting skills in Python, Bash, and Groovy.
In short, I’m passionate about driving reliability and efficiency across systems, ensuring seamless deployments, and working closely with cross-functional teams to meet organizational goals.
As an SRE Engineer:
I have strong experience as a Site Reliability Engineer (SRE), ensuring high availability, scalability, and performance of infrastructure and applications. My focus is on automating operations, reducing toil, and improving system reliability through observability and proactive monitoring.
I have worked extensively with CI/CD pipelines, infrastructure as code (IaC) using Terraform and Ansible, and cloud platforms like AWS, Azure, and GCP. I specialize in monitoring and alerting, integrating tools like Prometheus, Grafana, Splunk, and Datadog to provide real-time system insights and prevent incidents before they impact users.
A big part of my role is incident management and root cause analysis, ensuring quick recovery while improving system resilience. I have experience troubleshooting distributed systems, optimizing Kubernetes and containerized workloads, and implementing service-level objectives (SLOs) and indicators (SLIs) to measure and maintain system health.
I am passionate about automation and observability, using Python and Bash scripting to streamline deployments, optimize performance, and improve overall operational efficiency. Whether working on fault tolerance, disaster recovery, or performance tuning, I focus on building self-healing, scalable, and efficient systems that align with business goals.
As a DevOps Engineer:
I have strong experience as a DevOps Engineer, focusing on automation, CI/CD ensuring seamless code integration, testing, and automated deployments using tools like Jenkins, GitHub Actions, GitLab CI/CD, and Azure DevOps. My role involves streamlining deployment workflows, automating infrastructure provisioning, and managing configuration as code.
I have hands-on experience with infrastructure as code (IaC) using Terraform and CloudFormation, enabling scalable and repeatable infrastructure deployments across AWS, Azure, and GCP. I manage containerized environments using Docker and Kubernetes, ensuring efficient orchestration, scaling, and service reliability.
In monitoring and observability, I implement and maintain Prometheus, Grafana, ELK, and Splunk to track system health, performance, and logs. My work also includes security automation, vulnerability scanning, and compliance enforcement within the CI/CD pipeline.
I automate infrastructure and operational tasks using Ansible, Shell scripting, and Python, reducing manual effort and improving system reliability. My primary focus is on enhancing deployment efficiency, optimizing cloud infrastructure, implementing DevOps best practices, and ensuring high availability of services.
As a Observability Engineer:
I specialize in observability and monitoring, leveraging tools like Prometheus, Grafana, Datadog, Splunk, and ELK to ensure real-time system insights and performance tracking. I design and implement monitoring dashboards, alerting systems, and log aggregation solutions for cloud-native and on-premises environments.
I have hands-on experience with Kubernetes, Docker, and containerized workloads, integrating OpenTelemetry for distributed tracing and metrics collection. My expertise includes infrastructure as code (IaC) using Terraform and Ansible, automating observability configurations across AWS, Azure, and GCP.
I optimize log ingestion pipelines using FluentD, FluentBit, and Logstash, ensuring efficient data processing and log correlation. I work with SLOs, SLIs, and error budgets, enabling proactive incident response and root cause analysis.
I develop custom monitoring solutions using Python, Bash, and Go, integrating with CI/CD pipelines to enforce observability best practices. My focus is on enhancing system visibility, reducing MTTR, and ensuring high availability through automated monitoring workflows.
As a DevSecOps Engineer:
As a DevSecOps engineer, my role mainly includes integrating security automation within CI/CD pipelines using tools like Jenkins, GitHub Actions, GitLab CI/CD, and Azure DevOps. My expertise includes infrastructure as code (IaC) with Terraform, CloudFormation, and Ansible, ensuring secure and scalable deployments across AWS, Azure, and GCP.
I have hands-on experience with container security, securing Docker and Kubernetes environments by implementing RBAC, network policies, and image scanning using Trivy, Aqua Security, and Anchore. I integrate SAST and DAST tools like SonarQube, Checkmarx, and OWASP ZAP into CI/CD workflows, enforcing secure coding practices.
For compliance and vulnerability management, I work with ServiceNow, Splunk, and ELK to monitor security events, automate threat detection, and respond to vulnerabilities. I implement SIEM/SOAR solutions, integrating with security monitoring tools like Datadog, Falco, and Sysdig.
I automate security policies using OPA, Cedar, and AWS SCPs, ensuring policy-as-code enforcement. My focus is on proactive security, reducing attack surfaces, and maintaining resilient cloud infrastructure through automated security best practices.
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