Senior Lead Software Engineer- AI Platform engineer

JPMorgan Chase & Co.
San Francisco, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 260K

Job location

San Francisco, United States of America

Tech stack

Java
Artificial Intelligence
Big Data
C Sharp (Programming Language)
Software as a Service
Cloud Computing
Cloud Database
Cloud Engineering
Databases
Continuous Integration
Software Debugging
Infrastructure as a Service (IaaS)
Python
Linux System Administration
Machine Learning
Network Architecture
Routing
NoSQL
Platform as a Service (PAAS)
TensorFlow
Prometheus
Software Engineering
SQL Databases
High Performance Computing
Grafana
HybridCloud
Containerization
AI Platforms
Kubernetes
Production Code
Routing & Switching
Slurm
Machine Learning Operations
Hardware Infrastructure
Docker
Go
Programming Languages
Microservices

Job description

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products., As a Senior Lead Software Engineer at JPMorgan Chase within the Corporate Sector, Infrastructure Platforms team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications., * Provide technical guidance and direction to support business objectives, collaborating with technical teams, contractors, and vendors.

  • Develop secure, high-quality production code, and review and debug code written by others.
  • Influence product design, application functionality, and technical operations through informed decision-making.
  • Advocate for firm wide frameworks, tools, and practices within the Software Development Life Cycle.
  • Promote a culture of diversity, equity, inclusion, and respect within the team.
  • Architect and deploy secure, scalable cloud infrastructure platforms optimized for AI and machine learning workloads.
  • Collaborate with AI teams to translate computational needs into infrastructure requirements.
  • Monitor, manage, and optimize cloud resources for performance and cost efficiency.
  • Design and implement continuous integration and delivery pipelines for machine learning workloads.
  • Develop automation scripts and infrastructure as code to streamline deployment and management tasks., * This position is subject to Section 19 of the Federal Deposit Insurance Act. As such, an employment offer for this position is contingent on JPMorgan Chase's review of criminal conviction history, including pretrial diversions or program entries.

Requirements

  • Formal training or certification on software engineering concepts and 5+ years applied experience
  • Hands-on experience in system design, application development, testing, and operational stability.
  • Strong experience with Kubernetes and containerization (Docker), including cluster operations and production troubleshooting.
  • Proficiency in at least one programming language, such as Python, Go, Java, or C#.
  • Ability to independently tackle design and functionality problems with minimal oversight.
  • Strong knowledge of cloud computing delivery models (IaaS, PaaS, SaaS) and deployment models (Public, Private, Hybrid Cloud).
  • Foundational understanding of machine learning concepts, including transformer architecture, ML training, and inference.
  • Experience with Infrastructure as Code.
  • Deep understanding of cloud component architecture: Microservices, IaaS, Storage, Security, and routing/switching technologies.

Preferred qualifications, capabilities, and skills

  • Foundational understanding of NVIDIA GPU infrastructure software (e.g., DCGM, BCM, Dynamo Inference).
  • Proficiency with observability tools like Prometheus and Grafana.
  • Experience in ML Ops and related tooling, including MLflow.
  • Background in high performance computing and ML frameworks (e.g., vLLM, Ray.io, Slurm).
  • Strong knowledge of network architecture, database programming (SQL/NoSQL), and data modeling.
  • Familiarity with cloud data services, big data processing tools, and Linux environments (scripting and administration).

Benefits & conditions

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process., San Francisco,CA $171,000.00 - $260,000.00 / year; Palo Alto,CA $171,000.00 - $260,000.00 / year; Seattle,WA $171,000.00 - $260,000.00 / year

About the company

* This position is subject to Section 19 of the Federal Deposit Insurance Act. As such, an employment offer for this position is contingent on JPMorgan Chase's review of criminal conviction history, including pretrial diversions or program entries. 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.

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