Senior Lead Software Engineer- AI Platform engineer
Senior Lead Software Engineer- AI Platform engineer
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
$ 171000 - 260000
1 Vacancy
Job Description
Be an integral part of an agile team thats constantly pushing the envelope to enhance build and deliver topnotch 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 marketleading technology products in a secure stable and scalable way. Drive significant business impact through your capabilities and contributions and apply deep technical expertise and problemsolving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.
Required qualifications capabilities and skills
- Provide technical guidance and direction to support business objectives collaborating with technical teams contractors and vendors.
- Develop secure highquality production code and review and debug code written by others.
- Influence product design application functionality and technical operations through informed decisionmaking.
- Advocate for firmwide 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.
Required Qualifications:
- Formal training or certification in software engineering concepts with 5 years of applied experience.
- Handson experience in system design application development testing and operational stability.
- Proficiency in programming languages such as Python and/or Golang.
- Ability to independently tackle design and functionality problems with minimal oversight.
- Background in Computer Science Computer Engineering Mathematics or a related technical field.
- Strong knowledge of cloud computing delivery models (IaaS PaaS SaaS) and deployment models (Public Private Hybrid Cloud).
- Proficiency in Linux environments including scripting and administration.
- Foundational understanding of machine learning concepts including transformer architecture ML training and inference.
- Experience in solutions design and engineering containerization (Docker Kubernetes) and cloud service providers (AWS Azure GCP).
- Experience with Infrastructure as Code (Terraform CloudFormation) and automation tools (Ansible Chef Puppet).
- Deep understanding of cloud component architecture: Microservices Containers IaaS Storage Security and routing/switching technologies.
Preferred Qualifications:
- Foundational understanding of NVIDIA GPU Infrastructure software (e.g. NVIDIA DCGM BCM Triton Inference).
- Handson experience with ML frameworks such as PyTorch TensorBoard.
- Experience with observability tools like Prometheus Grafana.
- Experience in ML Ops and associated tooling like MLflow.
- Experience with High Performance Computing and Machine Learning frameworks such as vLLM Ray Slurm.
- Strong background in network architecture database programming (SQL/NoSQL) and data modeling.
- Familiarity with cloud data services and big data processing tools.
FEDERAL DEPOSIT INSURANCE ACT:
This position is subject to Section 19 of the Federal Deposit Insurance Act. As such an employment offer for this position is contingent on JPMorganChases review of criminal conviction history including pretrial diversions or program entries.
#LIBI1
Required Experience:
Senior IC
Employment Type
Full-Time
