Manager of Software Engineering - Observability, AIOps
Manager of Software Engineering - Observability, AIOps
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Job Description
This 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
Employment Type
Full-Time
