Senior Lead Software Engineer - AIML Platform
Role details
Job location
Tech stack
Job description
As a Software Engineering Manager - Observability & Data Platforms at JPMorgan Chase in our Technology team, you will lead a group of engineers focused on developing observability, data pipelines, and fin-ops tools. You will partner with customers, product managers, and SRE teams to align objectives and deliver high-impact solutions. Your role will involve providing architectural guidance, establishing standards, and driving cost optimization and compliance. You will help foster a collaborative culture and ensure our software delivery meets business needs., * Lead and manage a team of software engineers developing observability, data pipelines, and fin-ops tools
- Partner with customers, product managers, and SRE teams to align observability objectives
- Provide architectural guidance and establish standards for observability implementations
- Collaborate with cross-functional teams to drive business impact and customer satisfaction
- Evaluate and implement modern data storage solutions to support analytics and dashboards
- Introduce new observability tools and technologies, staying current with industry best practices
- Apply machine learning algorithms to operational data to predict and address system failures
- Implement and manage AIOps platforms for intelligent alerting, anomaly detection, and root cause analysis
Requirements
- Bachelor's degree in computer science, information technology, or equivalent technical qualification
- Hands-on experience in backend development using Python, Java, Node.js, or Golang
- Experience in people management and leading technical teams
- Experience as an infrastructure or platform software engineer in a technology company or startup
- Expertise with cloud-native observability tools and associated agents, collectors
- Experience designing and architecting large-scale distributed systems and cloud-native architecture in AWS
- Strong problem-solving and troubleshooting skills in complex systems
- Excellent communication skills to represent business and technical concepts to stakeholders
- Self-managed and motivated with a strong sense of ownership and urgency
Preferred Qualifications, Capabilities, and Skills:
- Experience working in AI, ML, or data engineering
- Experience developing AI agents or MCP