Job Responsibilities:
- Design, implement and maintain observability frameworks that provide visibility into system performance, available and reliability. This includes:
- Key logging
- Session replay
- AI-assisted operations
- User activity monitoring
- Design, build and manage an open-source project observability stack.
- Optimize monitoring coverage, ensuring alignment with SLAs.
- Collaborate with DevOps, SRE, and development teams to ensure systems are observable by design.
- Perform anomaly detection and alerting on threats, issues or trends.
- Perform root cause analysis (RCA) and contribute to post-incident reviews.
- Manage data streams and log ingestion from multiple sources.
- Develop dashboards, alerts, and reports. This includes:
- Tracking and reporting on user and system activities
- Monitoring system health across the environment
- Leveraging AI/ML for recommendations and predictions
- Ensure data collection has appropriate logs, data is tagged, and correlation is built.
- Ensure compliance with data privacy regulations.
- Ensure new releases do not impact the environment.
- Ensure the Agile process is followed, including implementing and supporting Agile SAFe principles and practices.
- Oversee the efforts of less senior staff.
Skills & Requirements:
- Active TS/SCI clearance - Must Have
- 10+ years of relevant work experience
- Skills are focused on infrastructure health telemetry (CPU, memory, storage), Log analysis, infrastructure architecture, log correlation and system health interpretation. Network health interpretation and user activity review.
- Cybersecurity proficiency.
- Working within high visibility and mission critical aspects of a program.
- Experience configuring and supporting Openobserve, Splunk, Elastic, fluentd, and Grafana.
- Experience with cloud automation, specifically autoscale, configuring autoscale triggers and AI analytics with anomaly detection.
- Experience with React, AI foundation models, Cloud automation templates, and API management.
- SAFe Scrum Master (SSM) or SAFe Advanced Scrum Master (SASM) certification - Preferred
Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is $120k - $150k.
This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees.
Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law.
