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Software Engineer III- AI Platform Engineer Job Opening In Seattle – Now Hiring JPMorgan Chase & Co.


Job description

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Software Engineer III at JPMorgan Chase within the Corporate Sector, Infrastructure Platforms team, you serve as a seasoned member of an agile team to design and deliver trusted, market-leading technology products in a secure, stable, and scalable way.

You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

You will build, deploy, and maintain robust infrastructure platforms within cloud environments, tailored for AI and machine learning workloads.

This role involves building and maintaining highly scalable and resilient infrastructure platforms to enable training and inference for Large Language Models.

Job responsibilities

• Execute software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Create secure and high-quality production code and maintain algorithms that run synchronously with appropriate systems
• Produce architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
• Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
• Proactively identify hidden problems and patterns in data and use these insights to drive improvements to coding hygiene and system architecture
• Contribute to software engineering communities of practice and events that explore new and emerging technologies
• Engineer 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 and 3+ years of applied experience
• Good knowledge of cloud computing delivery models (IaaS, PaaS, and SaaS) and deployment models related to Public, Private, and Hybrid Cloud services
• Proficient in Linux environments, including scripting and administration
• Familiarity with cloud data services and big data processing tools
• Foundational understanding of machine learning concepts such as transformer architecture, ML training, and inference
• Experience in one or more high-performance computing and machine learning frameworks such as vLLM, , or Slurm is preferable
• Strong hands-on coding experience with Python and/or Golang
• Experience in solutions design and engineering, with experience in containerization (Docker, Kubernetes) and cloud service providers (AWS, Azure, GCP)
• Experience with Infrastructure as Code (Terraform, CloudFormation) and automation tools (Ansible, Chef, Puppet)
• Strong background in network architecture, database programming (SQL/NoSQL), and data modeling
• Deep understanding of cloud component architecture: microservices, containers, IaaS, storage, security, and knowledge of routing/switching technologies

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your Software Engineer Potential: Insight & Career Growth Guide


Real-time Software Engineer Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Software Engineer in Seattle, United States, highlighting market share and opportunities for professionals in Software Engineer roles.

173941 Jobs in United States
173941
2406 Jobs in Seattle
2406
Download Software Engineer Jobs Trends in Seattle and United States

Are You Looking for Software Engineer III AI Platform Engineer Job?

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at JPMorgan Chase & Co. adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying United States laws and regulations

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The average salary range for a varies, but the pay scale is rated "Standard" in Seattle. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

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Key qualifications for Software Engineer III AI Platform Engineer typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Software Engineer III AI Platform Engineer Job Success

JPMorgan Chase & Co. interview tips for Software Engineer III  AI Platform Engineer

Here are some tips to help you prepare for and ace your Software Engineer III AI Platform Engineer job interview:

Before the Interview:

Research: Learn about the JPMorgan Chase & Co.'s mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

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Be Yourself: Let your personality shine through while maintaining professionalism.

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Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Software Engineer III AI Platform Engineer interview at JPMorgan Chase & Co., research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the JPMorgan Chase & Co.'s products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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