Senior Lead Cloud Platform Engineer – AI & DevEx Leader

Next Frontier Capital; Palo Alto (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

JPMorgan Chase seeks a Senior Lead Software Engineer, Cloud Platform, to drive secure, scalable cloud solutions supporting data analytics. You will lead cross-functional teams, define platform roadmaps, and champion modern DevEx and SDLC modernization across the firm.

Work involves AI-assisted coding workflows, MCP integrations, and real-time telemetry for observability. You’ll collaborate with engineers and business partners to accelerate delivery while maintaining strict security standards.

Qualifications

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• Hands-on experience with at least one major cloud provider (AWS, Azure, or GCP).
• Advanced knowledge of containerization and orchestration platforms (Docker, Kubernetes, ECS, etc.).
• Demonstrated expertise in DevEx and CI/CD tools (Jenkins, Spinnaker, Bitbucket, GitHub, etc.).
• Strong knowledge of cloud security best practices, shift-left methodologies, and DevSecOps processes.
• Strong programming skills in Golang or Python, with a solid understanding of software development best practices.
• Proficiency with cloud infrastructure provisioning tools (Terraform, Crossplane, etc.).
• Experience with logging and monitoring tools (Splunk, Grafana, Datadog, Prometheus, etc.).
• Deep understanding of cloud infrastructure design, architecture, and migration strategies.
• Demonstrated proficiency with AI-assisted coding workflows and prompt engineering for software engineering use cases.

Responsibilities

• Provide technical leadership and guidance to the cloud engineering team.
• Lead the design and development of secure, scalable, and reliable cloud infrastructure and platform tools.
• Drive adoption of modern DevEx practices and evolve CI/CD and developer tooling to improve delivery speed, quality, and consistency.
• Align platform strategy and roadmaps with business priorities; lead cross-functional initiatives to modernize SDLC practices.
• Evaluate, integrate, and govern strategic tooling to reduce cognitive load and improve developer experience.
• Collaborate with development teams to identify and eliminate bottlenecks on the platform.
• Define and promote paved paths and self-service workflows to streamline developer workflows.
• Implement real-time telemetry pipelines and workflows for large-scale platform observability and analytics.
• Champion adoption of tools that can improve developer productivity through clear documentation, training, office hours, and close engagement with the developer community.
• Standardize use of AI-assisted coding tools and AI-powered development ecosystems to accelerate development workflows, code generation, and engineering productivity across the organization.
• Contribute to the design and development of AI agents and MCP integrations using frameworks built on Google ADK, Anthropic SDKs, etc.

Skills

Cloud platforms

Golang

Python

CI/CD tooling

Kubernetes

DevSecOps

Terraform

AI-assisted coding

Observability tools

Education

Bachelor's degree in CS or related field

Tools

Docker

Jenkins

Spinnaker

GitHub

Bitbucket

Grafana

Prometheus

Splunk

Job description

JPMorgan Chase seeks a Senior Lead Software Engineer, Cloud Platform, to drive secure, scalable cloud solutions supporting data analytics. You will lead cross-functional teams, define platform roadmaps, and champion modern DevEx and SDLC modernization across the firm.

Work involves AI-assisted coding workflows, MCP integrations, and real-time telemetry for observability. You’ll collaborate with engineers and business partners to accelerate delivery while maintaining strict security standards.