DescriptionJoin us to shape the future of observability and data platforms where your leadership and technical expertise will make a real difference. You will have the opportunity to collaborate with talented teams drive business impact and stay at the forefront of industry innovation. We value your passion for technology commitment to excellence and ability to inspire others. At JPMorganChase you can grow your career while helping us deliver exceptional solutions. Together we create an environment where your ideas and skills are valued.
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.
Job Responsibilities:
- 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
Required Qualifications Capabilities and Skills:
- Bachelors degree in computer science information technology or equivalent technical qualification
- Hands-on experience in backend development using Python Java 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
Required Experience:
Senior IC
DescriptionJoin us to shape the future of observability and data platforms where your leadership and technical expertise will make a real difference. You will have the opportunity to collaborate with talented teams drive business impact and stay at the forefront of industry innovation. We value your...
DescriptionJoin us to shape the future of observability and data platforms where your leadership and technical expertise will make a real difference. You will have the opportunity to collaborate with talented teams drive business impact and stay at the forefront of industry innovation. We value your passion for technology commitment to excellence and ability to inspire others. At JPMorganChase you can grow your career while helping us deliver exceptional solutions. Together we create an environment where your ideas and skills are valued.
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.
Job Responsibilities:
- 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
Required Qualifications Capabilities and Skills:
- Bachelors degree in computer science information technology or equivalent technical qualification
- Hands-on experience in backend development using Python Java 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
Required Experience:
Senior IC
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