Site Reliability Engineer

PanAgora Asset Management is committed to transforming financial lives through a flexible and inclusive work environment. They are seeking a Site Reliability Engineer (SRE) to ensure the reliability and operational excellence of their AWS-based data platform, applying core SRE principles to enhance data infrastructure support.

Responsibilities:

• Own and improve the reliability, stability, scalability, and performance of our core data platforms and services
• Provide operational support for large-scale, distributed data systems, ensuring high availability and strong SLAs
• Partner closely with full-stack, data, and platform engineering teams to deliver continuous improvements
• Operate and support EMR and EMR Serverless (Python/Spark) workloads and data pipelines
• Support and optimize Amazon Redshift and DynamoDB in high-throughput, production environments
• Design, build, and evolve monitoring, alerting, and observability frameworks with a focus on symptoms, not just outages
• Lead incident response, troubleshooting production issues across the full stack and coordinating with internal and external stakeholders
• Perform root cause analysis (RCA) and readiness reviews; turn findings into durable fixes and automation
• Create and maintain runbooks, SOPs, and operational documentation
• Collaborate with engineering teams to optimize performance, reliability, and cost
• Participate in an on-call rotation to respond to incidents impacting customer-facing systems
• Recommend and influence the use of AWS managed services and architectural patterns
• Continuously evaluate system performance, capacity, and cost to scale efficiently

Requirements:

• 4–6 years of experience building or operating systems across multiple architecture domains: application, data, integration, infrastructure, and security
• 4+ years of hands-on AWS experience, with strong production exposure to several of the following: Redshift, DynamoDB, EMR, EMR Serverless, EC2, S3
• Proven experience operating data platforms such as data lakes and data warehouses in production
• Strong SQL skills and experience working with modern databases (e.g., Redshift, DynamoDB, Postgres, MySQL, Oracle)
• 4+ years of Python experience, including scripting, automation, or data workloads
• Experience with CloudWatch, infrastructure monitoring, and alerting
• Hands-on experience with incident management, uptime SLAs, and customer-impacting systems
• Strong understanding of Git-based workflows (GitHub, Git Flow, or similar)
• Experience working in Agile environments (Scrum / Kanban) using tools such as Jira and Confluence
• Bachelor's in Computer Science, Information Systems, Data/Analytics, or related; equivalent practical experience welcomed
• Own and improve the reliability, stability, scalability, and performance of our core data platforms and services
• Provide operational support for large-scale, distributed data systems, ensuring high availability and strong SLAs
• Partner closely with full-stack, data, and platform engineering teams to deliver continuous improvements
• Operate and support EMR and EMR Serverless (Python/Spark) workloads and data pipelines
• Support and optimize Amazon Redshift and DynamoDB in high-throughput, production environments
• Design, build, and evolve monitoring, alerting, and observability frameworks with a focus on symptoms, not just outages
• Lead incident response, troubleshooting production issues across the full stack and coordinating with internal and external stakeholders
• Perform root cause analysis (RCA) and readiness reviews; turn findings into durable fixes and automation
• Create and maintain runbooks, SOPs, and operational documentation
• Collaborate with engineering teams to optimize performance, reliability, and cost
• Participate in an on-call rotation to respond to incidents impacting customer-facing systems
• Recommend and influence the use of AWS managed services and architectural patterns
• Continuously evaluate system performance, capacity, and cost to scale efficiently
• Experience with Terraform or other Infrastructure-as-Code tools
• Exposure to Snowflake or experience supporting analytics platforms beyond Redshift
• Experience in financial services or other highly regulated environments
• Knowledge of DevOps and CI/CD best practices
• Familiarity with observability tools such as Splunk, AppDynamics, or advanced CloudWatch usage
• Comfortable working across Linux/Unix environments
• Strong communication skills during incident response with both technical and non-technical stakeholders
• Security-minded approach to building secure, reliable, and durable systems
• Willingness to support occasional off-hours or weekend incidents as part of on-call responsibilities
• Streaming/event pipelines (Kafka/Kinesis), CDC patterns, and backfill strategies
• Experience with OpenLineage/Marquez and catalog integrations (Collibra/Alation/Purview)
• Prior FinOps or capacity-planning ownership for data platforms
• Familiarity with BI semantic layers and contract enforcement at consumption (Looker/Power BI/Tableau)