Technical Consultant, Observability

Experience

• Minimum 6+ years of hands-on experience with Application Performance Management tools such as Datadog, New Relic, AppDynamics, Dynatrace, Splunk ITSI, Honeycomb, Chronosphere, Riverbed Aternity/Alluvio, ExtraHop, & Logic Monitor.
• Hands-on experience with cloud-native, open-source solutions like Prometheus, Grafana, ELK stack/Elastic.io, OpenTelemetry (OTEL),
• Experience with public cloud solutions like AWS CloudWatch, Azure App Insights, etc.
• Strong understanding of network & system management solutions, distributed systems, networking, and database technologies.
• Operational background and familiarity with ITIL , ITSM, SRE, or DevOps best practices and principles.
• Excellent problem-solving skills, organizational, project management, and communication skills.
• Eagerness to collaborate, contribute to team success, and a continuous learning mindset.
• Experience with containerization and orchestration technologies like Docker and Kubernetes.
• Broad background in software engineering with, at a minimum, generalist-level expertise in programming languages such as Python, Java, Go, .NET, NodeJS, Ruby, and PHP.
• Familiarity with microservices architecture, service mesh technologies, and end-user technologies (iOS, Android, JavaScript, HTML5).
• Knowledge of configuration management tools such as Terraform and Ansible

Roles and Responsibilities

• Implement and maintain cutting-edge Observability solutions utilizing tools like New Relic, Datadog, AppDynamics, or Dynatrace for our large-scale enterprise customers.
• Develop and maintain systems for effective monitoring, logging, and tracing, ensuring scalability and reliability.
• Collaborate with cross-functional teams, including software engineers, product managers, and data scientists, to build resilient systems.
• Integrate observability practices into different engineering workflows and lead the adoption, optimization, and integration of products within the customer’s business infrastructure.
• Create custom dashboards, set up alerts, and develop AIOps rules, ensuring effective tracking against goals/KPIs.
• Provide technical support in post-sales processes, including installation, deployment, training, technical check-ups, and escalation management.
• Identify performance bottlenecks and anomalous system behavior and resolve root causes of service issues.
• Stay updated with the latest trends in observability, logging, monitoring, and cloud technologies and introduce innovative solutions and best practices.
• Participate in strategic technology planning, focusing on scalability, cost-effectiveness, and risk management in observability infrastructure.
• Document observability systems and processes comprehensively and prepare reports for management on system performance and reliability.
• Utilize Infrastructure as Code (IaC) principles for efficient infrastructure provisioning and management.