SRE II - Observability & Reliability

As a Senior Software Engineer in the Site Reliability Engineering team focusing on Observability and Reliability, your role will be crucial in ensuring the performance, stability, and availability of applications and systems. Your primary responsibility will be designing, implementing, and maintaining the observability and reliability infrastructure, with a specific emphasis on the ELK stack (Elasticsearch, Logstash, and Kibana). You will also collaborate with cross-functional teams to define and implement observability and reliability standards and best practices. Key Responsibilities: - Collaborate with cross-functional teams to define and implement observability and reliability standards and best practices. - Design, deploy, and maintain the ELK stack for log aggregation, monitoring, and analysis. - Develop and maintain alerts and monitoring systems for early issue detection and rapid incident response. - Create, customize, and maintain dashboards in Kibana for different stakeholders. - Identify performance bottlenecks, recommend solutions, and collaborate with software development teams. - Automate manual tasks and workflows to streamline observability and reliability processes. - Conduct system and application performance analysis, optimization, capacity planning, security practices, compliance adherence, documentation, disaster recovery, and backup. - Generate and deliver detailed reports on system performance and reliability metrics. - Stay updated with industry trends and best practices in observability and reliability engineering. Qualifications/Skills/Abilities: - Formal Education: Bachelor's degree in computer science, Information Technology, or a related field (or equivalent experience). - Experience: 5+ years of experience in Site Reliability Engineering, Observability & reliability, DevOps. - Skills: - Proficiency in configuring and maintaining the ELK stack (Elasticsearch, Logstash, Kibana) is mandatory. - Strong scripting and automation skills, expertise in Python, Bash, or similar languages. - Experience in Data structures using Elasticsearch Indices and writing Data Ingestion Pipelines using Logstash. - Experience with infrastructure as code (IaC) and configuration management tools (e.g., Ansible, Terraform). - Hands-on experience with cloud platforms (AWS preferred) and containerization technologies (e.g., Docker, Kubernetes). - Good to have Telecom domain expertise but not mandatory. - Strong problem-solving skills and the ability to troubleshoot complex issues in a production environment. - Excellent communication and collaboration skills. - Accreditation/Certifications/Licenses: Relevant certifications (e.g., Elastic Certified Engineer) are a plus.,