Senior Site Reliability Engineer & Monitoring Developer

Our Product Development (PD) Platform Operations team is responsible for the 24x7 uptime, stability, and performance of our internally customized deployment of the 3DX PLM (Product Lifecycle Management) platform — including its underlying infrastructure, network, and application layers. This platform is mission-critical to our engineering and manufacturing organizations.

We are looking for a Senior SRE & Monitoring Developer who combines deep hands-on Elastic Stack expertise with strong site reliability engineering practices to help us proactively detect, diagnose, and prevent issues before they impact our internal customers.

Must-Have

• 7 to 10 years of experience as a Site Reliability Engineer, DevOps Engineer, or similar role with a strong focus on monitoring, observability, and incident management

• Experience designing, implementing, and managing monitoring and alerting systems using industry-standard tools (ELK/Elastic Stack, Dynatrace)

• Experience working with a PLM platform such as Dassault Systèmes 3DX/ Siemens Teamcenter

• Strong scripting or programming skills (Python, Bash, or Go) for automating tasks, developing health checks, and integrating monitoring tools

• Excellent problem-solving skills, a proactive mindset, and the ability to remain calm and effective under pressure during incidents

• Strong communication and collaboration skills, with the ability to work effectively across technical and non-technical teams

Highly Desirable

• Experience with infrastructure-as-code or Pipeline as a code tools (Ansible, Terraform)

• Experience with cloud platforms (GCP, Azure) and cloud-native monitoring/logging services

• Experience working within an Agile/DevOps environment

• Elastic Certified Engineer certification or equivalent

• Experience in manufacturing or engineering/CAD-adjacent industries

Elastic Platform Ownership: Maintain deep expertise in Elastic, including cluster management, performance tuning, index/shard optimization, and Fleet & APM management. Conduct deep dives into Elastic query performance and resource consumption, specific to the Dassault 3DX product line. Manage index lifecycle policies (ILM) to balance performance, cost, and retention requirements

Proactive Monitoring & Alerting: Design, implement, and manage comprehensive monitoring and alerting systems across our platforms, with a specific focus on Elastic clusters. Define key metrics (SLIs), thresholds (SLOs), and escalation procedures to proactively identify and address potential issues before they become incidents. Develop and maintain a suite of automated health checks for critical endpoints, APIs, infrastructure components, and network paths

Author advanced ES|QL (Elasticsearch Query Language) queries to aggregate, transform, and analyze log, metric, and trace data for performance analysis, capacity planning, and root cause investigations.

Utilize KQL (Kibana Query Language) to create efficient search filters, Discover saved views, dashboard controls, and alerting rule conditions. Translate ad-hoc operational and diagnostic questions into performant ES|QL pipelines that can be operationalized into Kibana dashboards or scheduled alerts.

Design and build advanced custom Kibana visualizations using Vega and Vega-Lite for complex use cases beyond out-of-the-box Kibana Lens capabilities (e.g., SLO burn-rate tracking, multi-layered service performance visuals, topology maps). Develop and maintain operations, executive, and incident dashboards combining standard Kibana panels with custom Vega visual specifications.

Performance Analysis & Optimization: Conduct regular performance analysis of platforms, identifying bottlenecks and implementing optimizations to improve responsiveness, scalability, and resource utilization. This includes deep dives into Elastic query performance & resource consumption – specific to the Dassault 3DX product line

Security & Compliance: Apply appropriate access control (e.g., RBAC in Elastic/Kibana) and follow data handling/security policies relevant to a manufacturing/engineering data environment

Automation & Tooling:Build and maintain scripts/tools (Python, Bash, or Go) to streamline health checks, monitoring integrations, and routine operational tasks

Collaboration & Enablement: Work closely with infra teams to ensure the reliability and scalability of applications that interact with Elastic. Provide guidance to engineering teams on Elastic best practices, query optimization, and observability instrumentation

Documentation & Knowledge Sharing: Create and maintain comprehensive documentation for monitoring systems, alerting rules, escalation procedures, and troubleshooting guides. Contribute to team runbooks and post-incident reviews to build institutional knowledge