SRE-AWS/GCP

Technical Skills

• 6+ years of hands-on experience in Site Reliability Engineering, DevOps, or Cloud Engineering.
• Expertise in AWS services such as EC2, S3, RDS, IAM, VPC, Lambda, CloudWatch, etc.
• Strong knowledge of Kubernetes and container orchestration best practices.
• Experience managing services on Amazon ECS (Fargate or EC2).
• Proficient in infrastructure-as-code tools like Terraform, CloudFormation, or Pulumi.
• Skilled in scripting languages such as Python, Bash, or Go.
• Solid grasp of networking, load balancing, DNS, and firewall rules in cloud environments.
• Deep understanding of microservices architectures, API gateways, and service meshes.

Soft Skills

• Proven leadership and cross-functional collaboration skills.
• Strong problem-solving and incident-resolution mindset.
• Clear communication, documentation, and stakeholder reporting abilities.
• Passion for continuous improvement and automation.

Preferred Qualifications

• AWS certifications such as AWS Certified DevOps Engineer, Solutions Architect – Professional, or equivalent.
• Familiarity with service meshes like Istio or Linkerd.
• Experience with serverless architectures and event-driven systems.
• Knowledge of regulatory compliance (SOC2, ISO 27001, GDPR) in cloud environments.

Skills – AWS Cloud, CICD, EC2, Kubernete, Grafana, Datadog, Python

SRE- AWS

Job Summary

We are looking for an experienced and driven Senior Site Reliability Engineer (SRE) to architect, implement, and maintain robust cloud infrastructure. This role demands a deep understanding of AWS, Kubernetes, ECS, and the ability to build scalable, secure, and highly available infrastructure from scratch. The ideal candidate will be a strong advocate for DevOps principles, automation, and reliability, and will possess the skills to support and optimize complex microservices-based architectures.

•Infrastructure Design & Implementation

• •Design and build highly scalable, fault-tolerant, and secure cloud infrastructure using AWS, Kubernetes, and ECS.
• •Lead efforts in infrastructure as code (IaC) using tools like Terraform or CloudFormation.
• •Develop and enforce best practices for infrastructure provisioning, security, and cost optimization.

System Reliability & Performance

• •Ensure availability, performance, scalability, and security of production systems.
• •Implement observability strategies including monitoring, logging, and alerting using tools such as Prometheus, Grafana, ELK, or Datadog.
• •Analyse system performance metrics and proactively identify potential issues and bottlenecks.

DevOps & Automation

• •Build and maintain CI/CD pipelines to streamline code deployments across environments.
• •Drive automation in infrastructure provisioning, configuration management, and operational tasks.
• •Ensure repeatable and reliable deployments using containers and orchestration tools like Kubernetes and ECS.

Service Management

• •Own the SRE lifecycle, including incident management, postmortems, root cause analysis, and runbook creation.
• •Collaborate closely with development and QA teams to ensure seamless microservices integration, deployment, and lifecycle management.
• •Maintain service-level objectives (SLOs), service-level agreements (SLAs), and error budgets.

Security & Compliance

• •Implement and enforce cloud security best practices for networking, identity and access management, and data protection.
• •Support audits, compliance assessments, and vulnerability remediation.
• •Monitor for security anomalies and work with security teams to respond to threats.

Technical Skills

• •6+ years of hands-on experience in Site Reliability Engineering, DevOps, or Cloud Engineering.
• •Expertise in AWS services such as EC2, S3, RDS, IAM, VPC, Lambda, CloudWatch, etc.
• •Strong knowledge of Kubernetes and container orchestration best practices.
• •Experience managing services on Amazon ECS (Fargate or EC2).
• •Proficient in infrastructure-as-code tools like Terraform, CloudFormation, or Pulumi.
• •Skilled in scripting languages such as Python, Bash, or Go.
• •Solid grasp of networking, load balancing, DNS, and firewall rules in cloud environments.
• •Deep understanding of microservices architectures, API gateways, and service meshes.

Soft Skills

• •Proven leadership and cross-functional collaboration skills.
• •Strong problem-solving and incident-resolution mindset.
• •Clear communication, documentation, and stakeholder reporting abilities.
• •Passion for continuous improvement and automation.

Preferred Qualifications

• •AWS certifications such as AWS Certified DevOps Engineer, Solutions Architect – Professional, or equivalent.
• •Familiarity with service meshes like Istio or Linkerd.
• •Experience with serverless architectures and event-driven systems.
• •Knowledge of regulatory compliance (SOC2, ISO 27001, GDPR) in cloud environments.
• Skills – AWS Cloud, CICD, EC2, Kubernete, Grafana, Datadog, Python

Key Responsibilities

• Cloud Platform: GCP
• •Infrastructure Automation: Design, implement, and manage infrastructure as code using Terraform to provision and manage GCP resources.
• •Container Orchestration: Deploy and manage Kubernetes clusters, ensuring efficient operation of containerized applications.
• •Continuous Integration/Continuous Deployment (CI/CD): Develop and maintain CI/CD pipelines using Jenkins to automate application build, test, and deployment processes.
• •Containerization: Collaborate with development teams to containerize applications using Docker and manage deployments with Helm Charts.
• •Code Quality Assurance: Integrate and manage SonarQube to ensure code quality and security standards are met.
• •Monitoring and Logging: Implement and manage monitoring solutions using Datadog to ensure system health, performance, and security.
• •Collaboration: Work closely with cross-functional teams, including developers, QA, and operations, to streamline processes and improve productivity.

Requirements

•Experience: 5+ years in DevOps or cloud engineering roles, with at least 3 years of relevant experience in the specified technologies.

•Technical Proficiency

• oHands-on experience with GCP services and architecture.
• oProficiency in Terraform for infrastructure as code implementations.
• oStrong understanding and experience with Kubernetes and Docker.
• oExperience in setting up and managing CI/CD pipelines using Jenkins.
• oFamiliarity with Helm Charts for application deployment.
• oExperience with SonarQube for code quality analysis.
• oProficiency in monitoring and logging tools, particularly Datadog.
• •Scripting Skills: Proficiency in scripting languages such as Bash or Python is an added advantage.
• oStrong problem-solving abilities and analytical thinking.
• oExcellent communication skills, both verbal and written.
• oAbility to work collaboratively in a team environment.
• oStrong organizational and time management skills.
• Skills – Terraform, Kubernetes, Cluster, Docker, GCP, SonarQube