Proven experience in an SRE, DevOps, or infrastructure engineering role with a focus on monitoring, automation, and orchestration.

Deep understanding of cloud platforms such as AWS, Azure, or Google Cloud.

Strong knowledge of network design, TCP/IP, DNS, routing, and network security best practices.

Expertise in monitoring tools (Prometheus,  ELK).

Hands-on experience with automation tools (Terraform, Ansible, Jenkins, CI/CD).

Proficiency with containerization and orchestration (Docker, Kubernetes).

Proficiency in scripting languages (Bash, Python, Go).

Familiarity with microservices architecture and distributed systems. 

100%

Work closely with developers, QA, and operations teams to foster a DevOps culture focused on security, reliability, and automation.

Monitoring & Alerting:

• Design, implement, and manage comprehensive monitoring solutions using tools like Prometheus, Grafana, ELK stack, etc.
• Develop and maintain alerting systems that proactively provide insights into system health and performance.
• Define and track SLIs, SLOs, and SLAs for critical services and ensure continuous compliance.

Automation & Infrastructure Management:

• Automate infrastructure provisioning and management using tools such as Ansible or Terraform eliminate manual interventions.
• Build and maintain CI/CD pipelines ( GitLab CI) to streamline deployments and ensure system consistency.
• Implement automated testing and validation processes for infrastructure and applications.

30

Orchestration & Infrastructure as Code:

• Leverage containerization and orchestration technologies (Docker, Kubernetes) to manage scalable, resilient, and fault-tolerant services.
• Use Infrastructure as Code (IaC) to automate and standardize environment provisioning and configuration management.

20

Networking & Security:

• Ensure the security and compliance of infrastructure by implementing best practices in network security, including encryption, firewall management, access controls, and intrusion detection.
• Perform regular security audits and vulnerability assessments to identify and mitigate risks.
• Monitor network traffic and optimize performance through network tuning and troubleshooting.

20

Reliability Engineering:

• Develop high-availability and disaster recovery solutions for mission-critical services.
• Conduct postmortems for major incidents, perform root cause analysis, and implement preventive measures.
• Collaborate with development teams to optimize applications for performance and security.
• Continuously improve operational processes by identifying bottlenecks, automating workflows, and enhancing security measures.

30

• Candidate with below experience

       Candidate with 10+ years of experience.

• Proven experience in an SRE, DevOps, or infrastructure engineering role with a focus on monitoring, automation, and orchestration.
• Deep understanding of cloud platforms such as AWS, Azure, or Google Cloud.
• Strong knowledge of network design, TCP/IP, DNS, routing, and network security best practices.
• Expertise in monitoring tools (Prometheus,  ELK).
• Hands-on experience with automation tools (Terraform, Ansible, Jenkins, CI/CD).
• Proficiency with containerization and orchestration (Docker, Kubernetes).
• Proficiency in scripting languages (Bash, Python, Go).
• Familiarity with microservices architecture and distributed systems.
• Bachelor in Engineering/MCA/M.sc/ M.S./ MBA in Systems, IT or Insurance or Finance.

Soft Skills

• Excellent verbal & non verbal communication skills
• Should be a team player.
• Good analytical and problem-solving skills.
• Leadership skills

• Proven experience in an SRE, DevOps, or infrastructure engineering role with a focus on monitoring, automation, and orchestration.
• Deep understanding of cloud platforms such as AWS, Azure, or Google Cloud.
• Strong knowledge of network design, TCP/IP, DNS, routing, and network security best practices.
• Expertise in monitoring tools (Prometheus,  ELK).
• Hands-on experience with automation tools (Terraform, Ansible, Jenkins, CI/CD).
• Proficiency with containerization and orchestration (Docker, Kubernetes).
• Proficiency in scripting languages (Bash, Python, Go).
• Familiarity with microservices architecture and distributed systems.