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Tlm Developer Jobs Near Me

JP Morgan Chase

Lead Software Engineer

Columbus, OH · On-site

Mentor engineers through thoughtful code reviews, design guidance, and pragmatic engineering ... SDLC/TLM toolchain. * Applies knowledge of tools within the Software Development Life Cycle ...

J.P. Morgan

Lead Software Engineer

Columbus, OH · On-site

Mentor engineers through thoughtful code reviews, design guidance, and pragmatic engineering ... SDLC/TLM toolchain. * Applies knowledge of tools within the Software Development Life Cycle ...

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How much do tlm developer jobs pay per year?

As of Sep 14, 2026, the average yearly pay for tlm developer in the United States is $104,481.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,000.00 and $113,000.00 per year, depending on experience, location, and employer.
Tlm Developer jobs near you
A map of the United States highlighting the number of Tlm Developer job openings by state according to ZipRecruiter. The image is accompanied by a detailed chart listing the number of Tlm Developer job openings in each state, with California having the most at 2 and Hawaii the least at 0.

Sr Lead Software Engineer - AI-Native Component Engineering

Columbus, OH • On-site

JPMorgan Chase & Co.
Finance and Insurance • 10K+ employees
Learn more about JPMorgan Chase & Co.external

Other

Posted 17 days ago

JPMorgan Chase & Co. rating

7.9

Company rating: 7.9 out of 10

Based on 500 frontline employees who took The Breakroom Quiz

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 JPMorganChase within the Chief Technology Office, 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.

Job responsibilities
  • Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors.
  • Develops secure and high-quality production code, and reviews and debugs code written by others.
  • Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.
  • Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale.
  • Drives decisions that influence the product design, application functionality, and technical operations and processes.
  • Serves as a function-wide subject matter expert in one or more areas of focus.
  • Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle.
Required qualifications, capabilities, and skills
  • Formal training or certification on software engineering concepts and 5+ years applied experience.
  • Hands-on practical experience delivering system design, application development, testing, and operational stability.
  • Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
  • Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching senior engineers/leads on compliant usage patterns and controls.
  • Advanced skills in Java, JavaScript, or Python.
  • Proficiency in automation and continuous delivery methods.
  • Proficient in all aspects of the Software Development Life Cycle.
  • Advanced understanding of agile methodologies such as CI/CD, application resiliency, and security.
  • Demonstrated proficiency in a technical discipline such as cloud, artificial intelligence, or machine learning.
  • Practical cloud-native experience.
  • Ability to tackle design and functionality problems independently with little to no oversight.
Preferred qualifications, capabilities, and skills
  • Experience building SDKs, frameworks, or developer platforms that other engineering teams consume.
  • Experience with AI-native tooling and AI-assisted development workflows.
  • Demonstrated code shipped to production that leverages AI or builds AI capabilities.
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