Senior Lead Software Engineer- AI Platform engineer
Senior Lead Software Engineer- AI Platform engineer
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Job Description
Be an integral part of an agile team thats 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.
Required qualifications capabilities and skills
- 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 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.
- Hands-on experience in system design application development testing and operational stability.
- 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.
- 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).
- 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.
- 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. DCGM BCM Triton Inference).
- Hands-on experience with machine learning frameworks such as PyTorch and TensorBoard.
- 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 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).
Required Experience:
Senior IC
Employment Type
Full-Time
