SRE-AWS/GCP

Sailssoftware; Visakhapatnam; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

A cloud solutions company in Visakhapatnam is seeking an experienced Senior Site Reliability Engineer to architect and maintain robust cloud infrastructure. The role focuses on AWS services, Kubernetes, and CI/CD processes to support scalable and secure applications. Ideal candidates will have at least 6 years of experience in relevant fields and a strong foundation in DevOps principles. Join a dynamic team committed to innovation and excellence.

Qualifications

• 6+ years of experience in Site Reliability Engineering or related fields.
• AWS Certified DevOps Engineer or equivalent certification preferred.
• Proficiency in managing cloud infrastructure.

Responsibilities

• Design and implement scalable cloud infrastructure.
• Lead infrastructure as code initiatives.
• Ensure security best practices in cloud environments.

Skills

AWS services expertise

Kubernetes knowledge

Terraform proficiency

Scripting skills (Python, Bash)

CI/CD experience

Tools

AWS

GCP

Jenkins

Docker

SonarQube

Job description

Technical Skills – AWS

• 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.

Basic Skillsets

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

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

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

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