DescriptionThis is your chance to change the path of your career and guide multiple teams to success at one of the worlds leading financial institutions.
As a Manager of Software Engineering at JPMorgan Chase within the Artificial Intelligence & Machine Learning (AMDP) Data Platforms team which is aligned to Enterprise Technology division youlead multiple teams and manage day-to-day implementation activities by identifying and escalating issues and ensuring your teams work adheres to compliance standards business requirements and tactical best practices.
Job responsibilities
- Lead and manage a team of software engineers responsible for developing observability data pipelines and fin-ops tools and orchestration.
- Partner with Customers Product managers and SRE teams to develop systems and align observability objectives across the organization.
- Provide architectural guidance and establish standards for observability implementations with a strong focus on cost optimization and compliance.
- Collaborate with cross-functional teams to drive business impact and customer satisfaction through exceptional software delivery.
- Evaluate and implement modern data storage solutions (data warehouses data lakes) to support advanced analytics and dashboards.
- Evaluate and introduce new observability tools and technologies staying current with industry best practices
- Apply machine learning algorithms to existing operational data (logs metrics events) to predict system failures and proactively address potential incidents.
- Implement and manage AIOps platforms to enable intelligent alerting anomaly detection and root cause analysis.
Required qualifications capabilities and skills
- Formal training or certification on software engineering concepts and 5 years applied addition demonstrated coaching and mentoring experience
- Solid hands-on experience in backend development using Python Java or Golang.
- Experience as an Infrastructure or Platform Software Engineer in a dynamic technology company or startup.
- Strong expertise with Cloud native observability tools OpenTelemetry Grafana/Prometheus/CloudWatch/Datadog etc and associated agents collectors.
- Experience in designing and architecting large-scale distributed systems and cloud-native architecture in AWS.
- Systematic problem-solving and troubleshooting skills in a complex system.
- Excellent communication skills and ability to represent and present business and technical concepts to stakeholders.
- Self-managed self-motivated with strong sense of ownership urgency and drive
Preferred qualifications capabilities and skills
- Prior experience working in AI ML or Data engineering.
- Prior experience developing Automation frameworks/AI Ops
Required Experience:
Manager
DescriptionThis is your chance to change the path of your career and guide multiple teams to success at one of the worlds leading financial institutions.As a Manager of Software Engineering at JPMorgan Chase within the Artificial Intelligence & Machine Learning (AMDP) Data Platforms team which is al...
DescriptionThis is your chance to change the path of your career and guide multiple teams to success at one of the worlds leading financial institutions.
As a Manager of Software Engineering at JPMorgan Chase within the Artificial Intelligence & Machine Learning (AMDP) Data Platforms team which is aligned to Enterprise Technology division youlead multiple teams and manage day-to-day implementation activities by identifying and escalating issues and ensuring your teams work adheres to compliance standards business requirements and tactical best practices.
Job responsibilities
- Lead and manage a team of software engineers responsible for developing observability data pipelines and fin-ops tools and orchestration.
- Partner with Customers Product managers and SRE teams to develop systems and align observability objectives across the organization.
- Provide architectural guidance and establish standards for observability implementations with a strong focus on cost optimization and compliance.
- Collaborate with cross-functional teams to drive business impact and customer satisfaction through exceptional software delivery.
- Evaluate and implement modern data storage solutions (data warehouses data lakes) to support advanced analytics and dashboards.
- Evaluate and introduce new observability tools and technologies staying current with industry best practices
- Apply machine learning algorithms to existing operational data (logs metrics events) to predict system failures and proactively address potential incidents.
- Implement and manage AIOps platforms to enable intelligent alerting anomaly detection and root cause analysis.
Required qualifications capabilities and skills
- Formal training or certification on software engineering concepts and 5 years applied addition demonstrated coaching and mentoring experience
- Solid hands-on experience in backend development using Python Java or Golang.
- Experience as an Infrastructure or Platform Software Engineer in a dynamic technology company or startup.
- Strong expertise with Cloud native observability tools OpenTelemetry Grafana/Prometheus/CloudWatch/Datadog etc and associated agents collectors.
- Experience in designing and architecting large-scale distributed systems and cloud-native architecture in AWS.
- Systematic problem-solving and troubleshooting skills in a complex system.
- Excellent communication skills and ability to represent and present business and technical concepts to stakeholders.
- Self-managed self-motivated with strong sense of ownership urgency and drive
Preferred qualifications capabilities and skills
- Prior experience working in AI ML or Data engineering.
- Prior experience developing Automation frameworks/AI Ops
Required Experience:
Manager
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