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

Skills – Terraform, Kubernetes, Cluster, Docker, GCP, SonarQube