Monitoring and Observability Engineer

About Analog Devices Analog Devices, Inc. (NASDAQ: ADI) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, AI, and software technologies into solutions that combat climate change, reliably connect humans and the world, and help drive advancements in automation and robotics, mobility, healthcare, energy and data centers. With revenue of more than $11 billion in FY25, ADI ensures today's innovators stay Ahead of What's Possible. Learn more at www.analog.com and on LinkedIn and X. Position Overview We are seeking an experienced Monitoring and Observability Engineer to be part of our monitoring and observability initiatives. This role requires to implement monitoring standards and KPIs with hands-on technical expertise in building and maintaining robust observability infrastructure. You will work on key technologies and implement best practices to enhance the user experience across our monitoring ecosystem. Key Responsibilities • Implement and manage KPI/Metrics standards and best practices for the organization, ensuring consistency and measurability • Deploy monitoring solutions using industry-leading tools including Prometheus, Grafana, Nagios, and SolarWinds • Develop and implement Kafka-based event streaming and monitoring pipelines for real-time data collection and analysis • Integrate and manage AI monitoring capabilities to enable intelligent alerting, anomaly detection, and predictive insights • Create and maintain comprehensive documentation and runbooks for monitoring infrastructure, troubleshooting procedures, and operational playbooks • Develop custom scripts and automation in bash, Python, or Go to enhance monitoring capabilities and reduce operational overhead • Establish and refine SLAs, SLOs, and alerting thresholds based on business requirements and operational data • Conduct performance analysis and optimization of monitoring infrastructure to reduce latency and improve system reliability • Collaborate with DevOps, Platform, and Application teams to ensure comprehensive observability across the entire stack • Stay current with emerging monitoring and observability trends, tools, and technologies • Drive continuous improvement initiatives by analyzing metrics, gathering feedback, and implementing enhancements to the user experience Required Qualifications • Minimum 3+ years of professional experience in monitoring, observability, systems engineering, or DevOps roles • Proven experience in monitoring or infrastructure domains • Deep hands-on expertise with opensource monitoring tools such as Prometheus, Grafana, and Nagios • Strong experience with enterprise monitoring platforms like SolarWinds • Proficiency in bash scripting and Linux system administration (RHEL/CentOS/Ubuntu preferred) • Experience with event-driven architectures and Apache Kafka for real-time data processing • Knowledge of monitoring and observability across Linux systems, storage infrastructure, applications, and network platforms • Understanding of metrics collection, time-series data management, and data-driven decision-making • Experience implementing AI/ML-based monitoring solutions or anomaly detection systems • Strong problem-solving skills and ability to work effectively in fast-paced, complex environments • Excellent communication skills with ability to present technical concepts to both technical and non-technical stakeholders • Experience with Infrastructure-as-Code (IaC) tools (Terraform, Ansible, etc.) Preferred Qualifications • Experience with containerized environments and Kubernetes monitoring • Proficiency in Python or Go for custom tooling development • Experience with cloud platforms (AWS, Azure, GCP) and their native monitoring services • Experience with observability backends such as OpenTelemetry. • Knowledge of application performance monitoring (APM) tools • Experience with incident response and post-mortem processes • Certification in relevant areas (e.g., Kubernetes, cloud platforms, monitoring tools) • Contribution to open-source monitoring projects Required Technical Skills • Monitoring Platforms: Prometheus, Grafana, Nagios, Azure Monitor, AWS CloudWatch, SolarWinds • Data Streaming: Apache Kafka, event processing pipelines • AI Monitoring: Anomaly detection, intelligent alerting, ML-based insights • Scripting Languages: Bash, Python, Go • Operating Systems: Linux (RHEL, CentOS, Ubuntu), system administration • Infrastructure: Storage systems, networking, application monitoring • Data Visualization: Grafana dashboards, custom visualizations • Cloud & Containerization: Docker, Kubernetes (optional but valuable) What We're Looking For We seek a hands-on Engineer who is passionate about observability and excellence. Ideal candidates will: • Balance strategic thinking with hands-on technical expertise • Team player • Possess strong written and verbal communication skills • Approach challenges with creativity and persistence • Stay current with evolving monitoring and observability technologies For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls. As such, applicants for this position – except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) – may have to go through an export licensing review process. Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group. Job Req Type: Experienced Required Travel: Yes, 10% of the time Shift Type: 1st Shift/Days