Manager of Software Engineering - Observability, AIOps

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 you lead multiple teams and manage day-to-day implementation activities by identifying and escalating issues and ensuring your team's 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 experience. In addition, demonstrated coaching and mentoring experience
• Solid hands-on experience in backend development using Python, Java, Node.js, 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

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.