Site Reliability Engineer

About Parkar:

At Parkar, we are redefining cloud transformation with the power of Microsoft Azure and AWS platforms. Our commitment to aligning with industry-leading cloud technologies enables us to deliver tailored, best-in-class solutions that drive tangible results for our clients.

With over a decade of experience and more than 100 enterprise engagements across diverse industries, we specialize in empowering businesses to innovate and scale. From AIOps to Generative AI and advanced Machine Learning, our expertise spans the technologies that shape tomorrow's enterprises.

As a Microsoft Gold Partner, we boast over 125 Azure certifications and a track record of 400+ successful projects powered by our team of 200+ skilled engineers. Whether it's data analytics, DevOps automation, or application development, Parkar is dedicated to achieving each client's unique transformation goals with agility, precision, and a relentless pursuit of excellence.

Vector is our flagship platform, built on the latest in IT and AI technology to empower organizations to work smarter and stay ahead in a fast-changing digital world. It streamlines digital operations with intelligent automation and seamless cloud integration. With features like real-time monitoring, early problem detection, and scalable flexibility, Vector helps reduce costs, boost reliability, and drive continuous innovation.

For more info., Visit our website:

About Role:

We are looking for a highly skilled Site Reliability Engineer (SRE) to join our team. The ideal candidate will focus on enhancing system reliability, automation, and performance, ensuring high availability and scalability of our applications. You will work closely with development and operations teams to improve deployment pipelines, monitoring, and incident response.

Your Role at a Glance:

• Design, develop, and maintain scalable, reliable, and secure infrastructure.
• Implement monitoring, logging, and alerting solutions using tools like Datadog (Required); experience with SolarWinds, Prometheus, Grafana, ELK Stack, or Splunk is an advantage.
• Creation of automation scripts and playbooks for repetitive tasks
• Assist Deployment and configuration of observability stack
• Create dashboard for availability, latency, SLO/SLA tracking in Datadog (We are migrating from SolarWinds to Datadog)
• Improve system observability and enhance incident response through automation and root cause analysis.
• Optimize CI/CD pipelines to ensure smooth deployments and minimal downtime.
• Automate infrastructure provisioning and management using Terraform, Ansible, or Kubernetes. (good to have)
• Ensure high availability and disaster recovery through load balancing, failover mechanisms, and backups.
• Collaborate with development teams to enhance application performance, reliability, and scalability.
• Manage cloud-based environments (AWS, Azure, or GCP) for efficient resource utilization.
• Enhance security best practices, including vulnerability assessments and patch management.
• Participate in on-call rotations to troubleshoot and resolve critical system issues.
  

The Expertise You'll Bring:

• 5+ years of experience in Site Reliability Engineering, DevOps, or Infrastructure roles.
• Strong knowledge of Windows, Linux/Unix systems and shell scripting.
• Hands-on experience with cloud platforms (AWS, Azure, or GCP) and Jira dashboard.
• Expertise in Kubernetes, Docker, and container orchestration.
• Experience with CI/CD tools like Copado (Required), Jenkins, GitHub Actions, or GitLab CI.
• Proficiency in Infrastructure as Code (IaC) tools like Terraform, Ansible, or CloudFormation.
• Solid experience with monitoring and observability tools (Datadog [Required], Prometheus, Grafana, ELK, Splunk, or New Relic).
• Strong knowledge of networking, security, and system architecture.
• Experience with scripting languages like Python, Bash, or Go.
• Familiarity with database performance tuning and optimization.
• Strong problem-solving skills and ability to work in a fast-paced, Agile environment.

Education

• Bachelor's degree in computer science, engineering or similar domain.