Lead Software Engineer-AI Platform Engineer
Aumni
Lead Software Engineer-AI Platform Engineer
Job Information
- Job Identification 210667567
- Job Category Software Engineering
- Business Unit Corporate Sector
- Posting Date 09/16/2025, 02:45 AM
- Locations 1201 3Rd Ave, Seattle, WA, 98101, US
- Job Schedule Full time
- Base Pay/Salary Seattle,WA $152,000.00-$215,000.00
Job Description
As a Lead Software Engineer at JPMorgan Chase within the Corporate Sector, specifically as a part of the Infrastructure Platforms team, you will play a crucial role in an agile team committed to enhancing, creating, and delivering high-quality technology products in a secure, stable, and scalable manner. Your role as a vital technical contributor will involve developing critical technology solutions across numerous technical domains within various business functions, all aimed at supporting the firm's business goals.
Job Responsibilities:
- Execute creative software solutions, including design, development, and technical troubleshooting, with the ability to think beyond conventional approaches to build solutions or resolve technical problems.
- Develop secure, high-quality production code, and review and debug code written by others.
- Identify opportunities to eliminate or automate the remediation of recurring issues to enhance the overall operational stability of software applications and systems.
- Lead evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented assessments of architectural designs, technical credentials, and their applicability within existing systems and information architecture.
- Lead communities of practice across Software Engineering to promote awareness and adoption of new and leading-edge technologies.
- Contribute to a team culture of diversity, equity, inclusion, and respect.
- Develop and deploy cloud infrastructure platforms that are secure, scalable, and optimized for AI and machine learning workloads.
- Collaborate with AI teams to understand computational needs and translate these into infrastructure requirements.
- Monitor, manage, and optimize cloud resources to maximize performance and minimize costs.
- 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, Capabilities, and Skills:
- Formal training or certification in software engineering concepts with 5+ years of applied experience.
- Hands-on practical experience in delivering system design, application development, testing, and ensuring operational stability.
- Advanced proficiency in one or more programming languages such as Python and/or Golang.
- Proficiency in automation and continuous delivery methods.
- Proficient in all aspects of the Software Development Life Cycle.
- Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.).
- 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.
- Foundational understanding of NVIDIA GPU Infrastructure software (e.g., NVIDIA DCGM, BCM, Triton Inference).
- Hands-on 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.io, Slurm.
- Strong background in network architecture, database programming (SQL/NoSQL), and data modeling.
- Familiarity with cloud data services and big data processing tools.
About Us
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.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
About the Team
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