Systems Reliability & Performance Engineer
Sails Software IncVisakhapatnam, Republic Of India, IN1 day ago
Job descriptionEnsure 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. 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. 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. 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. 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. 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. 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. Experience : 5+ years in DevOps or cloud engineering roles, with at least 3 years of relevant experience in the specified technologies. Technical Proficiency : Scripting Skills : Proficiency in scripting languages such as Bash or Python is an added advantage. 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. 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. 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.
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
DevOps & Automation
Service Management
Security & Compliance
Technical Skills
Soft Skills
Preferred Qualifications
Skills – AWS Cloud, CICD, EC2, Kubernete, Grafana, Datadog, Python
Key Responsibilities :
Cloud Platform : GCP
Requirements :
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.
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, Sonar
Technical Skills
Soft Skills
Preferred Qualifications
Skills – AWS Cloud, CICD, EC2, Kubernete, Grafana, Datadog, Python
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Performance Engineer • Visakhapatnam, Republic Of India, IN
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