Site Reliability Engineer

HighRadius intends to build new products as a part of new initiatives entrepreneurship program. These new products are being built in a startup ecosystem.

We are seeking a highly skilled and experienced Senior Cloud Engineer to join our dynamic team. The ideal candidate will be instrumental in designing, implementing, and managing our cloud infrastructure, with a strong focus on automation, scalability, and reliability. You will play a key role in evolving our DevOps practices, ensuring seamless integration of development and operations, and contributing to the overall success of our cloud-native initiatives.

Responsibilities:

• Design, implement, and manage scalable, secure, and highly available cloud infrastructure primarily on AWS.
• Develop and maintain Infrastructure as Code (IaC) using Terraform to automate provisioning and configuration of cloud resources.
• Implement and manage CI/CD pipelines using Jenkins and GitHub/GitLab to automate software delivery, including build, test, and deployment processes.
• Orchestrate and manage containerized applications using Docker, Kubernetes, and Helm.
• Establish and maintain robust monitoring and logging solutions using Prometheus, Grafana, and either Datadog, Splunk, or Kibana to ensure system health and performance.
• Develop and maintain automation scripts using Python, Shell, or GoLang to streamline operational tasks and improve efficiency.
• Champion DevOps best practices, including GitOps, security integration throughout the SDLC, and advanced deployment strategies like Blue/Green deployments.
• Collaborate closely with development, operations, and security teams to ensure the smooth functioning and continuous improvement of our cloud platforms.
• Troubleshoot and resolve complex infrastructure and application issues in a timely manner.
• Participate in on-call rotations as needed to support critical systems.
• Mentor junior engineers and contribute to the growth of the team's technical capabilities.
• Stay up-to-date with the latest cloud technologies, trends, and best practices.

Required Skills and Experience:

• We are looking for Minimum 7+ years of experience in SRE (Site Reliability)

Cloud: Extensive hands-on experience with Amazon Web Services (AWS) including:

• Compute: EC2
• Storage: S3
• Identity & Access Management: IAM
• Container Orchestration: EKS
• Infrastructure as Code: Terraform

CI/CD: Proven experience in designing and implementing robust CI/CD pipelines with:

• Jenkins
• GitHub/GitLab
• Maven (or similar build tools)

Containerization: Deep understanding and practical experience with:

• Docker
• Kubernetes
• Helm

Infrastructure as Code (IaC):

• Terraform (mandatory)
• Ansible (highly desirable)

Monitoring & Logging: Experience in setting up and managing monitoring and logging solutions using at least two of the following:

• Prometheus
• Grafana
• Datadog/Splunk/Kibana

Scripting: Proficiency in at least two of the following scripting languages:

• Python
• Shell
• GoLang

DevOps Practices: Strong understanding and practical application of:

• GitOps methodologies
• Integrating security into the DevOps pipeline (DevSecOps)
• Advanced deployment strategies (e.g., Blue/Green Deployments)
• Excellent problem-solving skills and the ability to diagnose and resolve complex technical issues.
• Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.
• Ability to work independently and as part of a team in a fast-paced, agile environment.

Preferred Qualifications:

• AWS Certifications (e.g., AWS Certified Solutions Architect - Associate/Professional, AWS Certified DevOps Engineer - Professional).
• Experience with other cloud providers (e.g., Azure, GCP) is a plus.
• Familiarity with database technologies (SQL/NoSQL).
• Experience with security best practices in cloud environments.

Education:

• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

Skills Required
Helm, Jenkins, Github, Docker, Ansible, Splunk, Shell, Kubernetes, Kibana, Golang, Terraform, Gitlab, Grafana, Prometheus, Datadog, Maven, Aws, Python