to join our team. In this role, you will be responsible for bridging the gap between development and operations by applying software engineering principles to infrastructure and operations tasks. Your primary focus will be ensuring the reliability, availability, performance, and scalability of our production systems while minimizing manual operational work through automation and enhancing system resilience.
Position Overview The Site Reliability Engineer will work closely with development and operations teams to design, implement, and maintain highly reliable systems. You will be instrumental in establishing best practices for observability, incident response, and infrastructure management. Your expertise will help reduce operational overhead, improve system performance, and ensure seamless deployments through CI/CD pipelines.
Qualifications Required Skills and Experience -
Bachelor s degree in Computer Science, Engineering, or equivalent practical experience
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3+ years of experience in SRE, DevOps, or similar roles
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Strong proficiency with Kubernetes (K8s) and Docker containerization
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Experience with the ELK stack (Elasticsearch, Logstash, Kibana) for logging and monitoring
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Good to have: Understanding of Java programming and Java application troubleshooting
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Working knowledge of SQL and MongoDB databases
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Familiarity with Angular for frontend monitoring and diagnostic tooling
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Strong understanding of system architecture, cloud infrastructure, and networking
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Experience with Infrastructure as Code (IaC) tools (e.g., Terraform, Ansible)
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Experience with monitoring and observability platforms
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Excellent problem-solving skills and ability to troubleshoot complex systems
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Strong verbal and written communication skills
Preferred Skills -
Must have: Experience with AWS public cloud
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Good to have: Knowledge of Azure and GCP
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Familiarity with CI/CD tools (Jenkins, GitLab CI, GitHub Actions)
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Understanding of service mesh technologies (e.g., Istio)
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Experience with scripting languages (Python, Bash)
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Understanding of distributed systems and microservices
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Experience implementing SLOs, SLIs, and SLAs
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Awareness of security best practices
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Certifications in relevant technologies (e.g., CKA, AWS Certified)
Roles and Responsibilities System Reliability and Performance -
Design, implement, and maintain highly available and scalable infrastructure
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Define and track SLOs, SLIs, and error budgets
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Conduct capacity planning and optimize performance
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Improve system resilience and fault tolerance
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Perform regular health checks and proactive maintenance
Monitoring and Observability -
Deploy and maintain monitoring solutions (e.g., ELK stack)
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Build dashboards for system metrics, logs, and app performance
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Set up alerting systems to reduce alert fatigue
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Implement distributed tracing and ensure service telemetry
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Maintain comprehensive logging across systems
Incident Management and Response -
Lead incident response, including mitigation and resolution
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Conduct root cause analysis and post-incident reviews
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Maintain incident runbooks and knowledge base
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Participate in on-call rotation for critical systems
Automation and Toil Reduction -
Identify and automate repetitive operational tasks
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Implement Infrastructure as Code for consistent provisioning
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Create self-service tools for developers
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Automate testing and deployment processes
CI/CD Pipeline Management -
Design and maintain reliable CI/CD pipelines
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Implement automated testing within workflows
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Support canary deployments, feature flagging, and rollback strategies
Infrastructure Management -
Manage Kubernetes clusters and containerized applications
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Oversee config management and version control
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Implement infrastructure security and compliance
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Optimize resources and ensure backup/disaster recovery
Collaboration and Knowledge Sharing -
Partner with development teams to enhance reliability
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Provide architectural guidance with an SRE lens
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Conduct documentation and knowledge-sharing sessions
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Promote SRE best practices across the organization
Working Environment -
Collaborative, improvement-driven team culture
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Exposure to cutting-edge technologies
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Balance of project and operational responsibilities
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Focus on automation, innovation, and resilience
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Strong emphasis on learning and growth
Success Metrics -
Improved system availability and reliability
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Reduction in MTTD and MTTR
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Fewer production incidents and outages
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Increased automation and reduced manual effort
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Successful SLO implementation and monitoring coverage
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Positive feedback from dev teams on SRE support
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