DescriptionWe have an opportunity to impact your career and provide an adventure where you can push the limits of whats possible.
As a Lead Software Engineer at JPMorgan Chase within the CT you will be responsible for ensuring the reliability scalability and automation of AI-powered applications and this role you will be responsible for ensuring the reliability scalability and automation of AI-powered applications and infrastructure. You will partner with engineering and other stakeholders to deliver modern observability intelligent incident response and autonomic operations across our applications.
Job responsibilities:
- Ensure reliability scalability and performance of AI-assisted application and platform operations.
- Design and implement AI-driven solutions for intelligent alerting noise reduction & auto-correlation systems..
- Build and maintain observability monitoring and telemetry for AI application and platforms.
- Build and support automation for alerting anomaly detection and self-healing workflows.
- Collaborate with engineering and other stakeholders to drive operational excellence.
- Mentor and guide engineers on AIOps standards and operational excellence.
- Define and execute the roadmap for AI-assisted SRE and observability.
Required qualifications capabilities and skills:
- Formal training or certification on software engineering concepts and 5 years applied experience
- Demonstrates strong experience in SRE DevOps or Platform Engineering roles.
- Strong hands-on experience with AWS (ECS Lambda API Gateway Bedrock CloudWatch RDS EKS).
- Hands-on experience with AWS and LLM APIs.
- Expertise in observability tools: OpenTelemetry Grafana Prometheus ELK CloudWatch.
- Experience with CI/CD tools (GitHub Actions Jenkins Spinnaker ).
- Proven track record in automation operational tooling and event-driven workflows.
- In-depth understanding of distributed systems microservices and cloud architectures.
Preferred qualifications capabilities and skills:
- Experience with AI-powered coding assistants like GitHub Copilot windsurf.
- Familiarity with prompt engineering embeddings and RAG pipelines.
- Experience building operational copilots or chatbots for runbooks or troubleshooting.
- Proficiency in Python
Required Experience:
IC
DescriptionWe have an opportunity to impact your career and provide an adventure where you can push the limits of whats possible.As a Lead Software Engineer at JPMorgan Chase within the CT you will be responsible for ensuring the reliability scalability and automation of AI-powered applications and ...
DescriptionWe have an opportunity to impact your career and provide an adventure where you can push the limits of whats possible.
As a Lead Software Engineer at JPMorgan Chase within the CT you will be responsible for ensuring the reliability scalability and automation of AI-powered applications and this role you will be responsible for ensuring the reliability scalability and automation of AI-powered applications and infrastructure. You will partner with engineering and other stakeholders to deliver modern observability intelligent incident response and autonomic operations across our applications.
Job responsibilities:
- Ensure reliability scalability and performance of AI-assisted application and platform operations.
- Design and implement AI-driven solutions for intelligent alerting noise reduction & auto-correlation systems..
- Build and maintain observability monitoring and telemetry for AI application and platforms.
- Build and support automation for alerting anomaly detection and self-healing workflows.
- Collaborate with engineering and other stakeholders to drive operational excellence.
- Mentor and guide engineers on AIOps standards and operational excellence.
- Define and execute the roadmap for AI-assisted SRE and observability.
Required qualifications capabilities and skills:
- Formal training or certification on software engineering concepts and 5 years applied experience
- Demonstrates strong experience in SRE DevOps or Platform Engineering roles.
- Strong hands-on experience with AWS (ECS Lambda API Gateway Bedrock CloudWatch RDS EKS).
- Hands-on experience with AWS and LLM APIs.
- Expertise in observability tools: OpenTelemetry Grafana Prometheus ELK CloudWatch.
- Experience with CI/CD tools (GitHub Actions Jenkins Spinnaker ).
- Proven track record in automation operational tooling and event-driven workflows.
- In-depth understanding of distributed systems microservices and cloud architectures.
Preferred qualifications capabilities and skills:
- Experience with AI-powered coding assistants like GitHub Copilot windsurf.
- Familiarity with prompt engineering embeddings and RAG pipelines.
- Experience building operational copilots or chatbots for runbooks or troubleshooting.
- Proficiency in Python
Required Experience:
IC
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